Warehousing method and system for intelligent logistics

Abstract

The invention relates to the technical field of automatic warehousing, in particular to a warehousing method and system for intelligent logistics, and the method comprises the following steps: collecting warehouse-in and warehouse-out time, storage duration, access times and storage area data of goods, recording the moving quantity of goods in unit time in a storage area, counting the change amplitude of the access times, and storing the goods in the storage area; and adjusting the layout mode between the goods shelves to obtain a goods flow monitoring result. According to the method, by adjusting the space between the goods shelves and the arrangement sequence of the goods shelves, the driving distance of carrying equipment is avoided, the running route is optimized, path intersection points are avoided, warehouse operation is more efficient, meanwhile, the accident risk caused by path intersection is reduced, the storage direction and the space are adjusted by observing and evaluating the form of the goods, and the storage efficiency is improved. The utilization rate of the storage space is increased, the goods are protected against damage caused by uneven pressure distribution, and the overall operation efficiency and goods safety of a warehouse are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automated warehousing, and particularly to a warehousing method and system used in intelligent logistics. Background Art

[0002] The technical field of automated warehousing includes automated systems and equipment for managing and controlling the process of storing and retrieving goods in a warehouse. The core content of this technical field involves using technologies such as automated robotic arms, conveyor belt systems, automated guided vehicles, and warehouse management systems to achieve automatic sorting, stacking, and accessing operations of items. The overall technical field includes the integration from basic physical facility construction to advanced information systems and robotics, as well as monitoring and optimization strategies for the system to improve the efficiency of warehousing operations and avoid manual operation errors.

[0003] Among them, the warehousing method used in intelligent logistics refers to optimizing the warehousing link in logistics by integrating modern information technologies and automated equipment. The technical matters targeted by this patent theme include automatic identification, classification, storage, and retrieval of items. Specific methods include using barcode or RFID technology for item tracking and data collection, combined with automated equipment such as automated warehouse systems and intelligent robotic arms for precise handling and storage of items, and through the application of various automated and information technologies, achieving efficient management of warehouse space and resources.

[0004] Although existing automated warehousing technologies have been able to achieve automatic identification, classification, and precise handling of goods, there are still deficiencies in the utilization efficiency of warehousing space and path optimization. Existing technologies focus on the integrated application of automated equipment and information systems, but the degree of automation in the layout optimization of shelves, minimization of goods flow paths, and dynamic adjustment of storage density is not high. This leads to underutilization of warehouse space, increasing the operating costs and time of handling equipment. For example, unoptimized shelf arrangements and fixed aisle widths result in low driving efficiency of handling equipment and congestion and operation errors during peak periods, which are obvious deficiencies in the actual operation of existing technologies. Summary of the Invention

[0005] In order to solve the deficiencies in the utilization efficiency of warehousing space and path optimization existing in the prior art, where existing technologies focus on the integrated application of automated equipment and information systems, but the degree of automation in the layout optimization of shelves, minimization of goods flow paths, and dynamic adjustment of storage density is not high, leading to underutilization of warehouse space, increasing the operating costs and time of handling equipment. For example, unoptimized shelf arrangements and fixed aisle widths result in low driving efficiency of handling equipment and congestion and operation errors during peak periods. The embodiments of the present invention provide a warehousing method and system used in intelligent logistics. The technical solutions are as follows:

[0006] On the one hand, a warehousing method for intelligent logistics is provided, and the method includes:

[0007] S1: Collect data on the inbound and outbound times, storage duration, access times, and storage area of goods, record the number of goods moved per unit time in the storage area, count the change range of access times, adjust the layout method between shelves, and obtain the goods flow monitoring result;

[0008] S2: Adopt the goods flow monitoring result, refer to the shelf arrangement method in the storage area, record the number of goods placed in each unit of storage space, adjust the storage level of the shelves, and adjust the aisle width according to the passage area of the handling equipment to obtain the storage density adjustment result;

[0009] S3: Utilize the storage density adjustment result, adjust the shelf arrangement order to avoid the driving distance of the handling equipment, optimize the operation route of the handling equipment, and adjust the storage area of the goods to obtain the shelf position and path planning record;

[0010] S4: Based on the shelf position and path planning record, refer to the volume, morphological change characteristics, support requirements, and compression characteristics of the goods, record the goods with morphological changes during storage, evaluate the impact of different support methods on the goods morphology, screen compressible goods to optimize the storage spacing, and adjust the placement direction of the goods to match the shape of the storage unit to obtain the goods morphology adaptation storage result and dynamically adjust the goods storage method.

[0011] As a further solution of the present invention, the goods flow monitoring result includes the goods flow frequency, storage area flow, and goods access change trend, the storage density adjustment result includes the space utilization rate, optimized aisle width, and storage level density, the shelf position and path planning record includes the shelf layout order, optimized handling path plan, and access frequency record, and the goods morphology adaptation storage result includes the goods compression rate, goods placement direction, and different support types.

[0012] As a further solution of the present invention, the specific steps for obtaining the goods flow monitoring result are as follows:

[0013] S101: Collect data on the inbound and outbound times, storage duration, access times, and storage area of goods, record the number of goods moved per unit time in the storage area, count the storage duration of each good and file it, identify the access times in the storage area and the change range per unit time, mark the storage positions of the goods with changed access times, and obtain the marked list of goods with changed access;

[0014] S102: Based on the access change goods marking list, call the number of goods moved per unit time in the storage area, count the access frequency of goods per unit area in the storage area, analyze the storage density and aisle usage of different positions in the storage area, and obtain the storage density identification record;

[0015] S103: According to the storage density identification record, evaluate the impact of the shelf layout on the storage density and aisle usage, adjust the shelf spacing, and divide the storage area to match the goods storage requirements, so as to obtain the goods flow monitoring result.

[0016] As a further solution of the present invention, the steps for obtaining the storage density adjustment result are specifically as follows:

[0017] S201: Adopt the goods flow monitoring result, refer to the shelf arrangement method in the storage area, record the number of goods placed in the unit storage space, calculate the goods storage ratio in the storage area, and count the goods storage ratio of different shelves in the storage area to obtain the goods storage ratio data;

[0018] S202: Based on the goods storage ratio data, record the access times of multiple shelf storage levels, calculate the access times weight value, screen the storage levels with priority access times, adjust the storage level distribution of the shelves, and match the access requirements to obtain the storage level adjustment result;

[0019] S203: Call the storage level adjustment result, evaluate the impact of the adjusted shelf spacing on the goods flow path, adjust the shelf spacing, identify the requirements for the aisle width of the passage area of the handling equipment, and adjust the widths of different aisles in the storage area to obtain the storage density adjustment result.

[0020] As a further solution of the present invention, the formula for calculating the access times weight value is:

[0021]

[0022] where T i represents the access times weight value of the i-th shelf storage level, S i,j represents the storage ratio of the goods type j corresponding to the i-th shelf storage level, R j represents the access frequency of the goods type j, m represents the total number of shelf storage levels, n represents the total number of goods types, W i represents the weight factor of the i-th shelf storage level, k represents the index of the storage level, and j represents the index of the goods type.

[0023] As a further solution of the present invention, the steps for obtaining the shelf position and path planning record are specifically as follows:

[0024] S301: Analyze the average travel distance from the shelves to the key handling channels using the storage density adjustment result, screen the shelves with long travel distances, adjust the shelf arrangement order, and obtain the shelf arrangement adjustment data;

[0025] S302: Based on the shelf arrangement adjustment data, call the operating trajectory of the handling equipment, count the number of access path intersections, adjust the operating route of the handling equipment to avoid the access path intersections, and obtain the shelf position and path planning record;

[0026] When adjusting the operating route of the handling equipment, the following formula is used:

[0027]

[0028] where Z represents the total operating path length of the handling equipment, P o represents the real-time position coordinates of the o-th handling equipment, P o-1 represents the coordinates of the previous position, |P o -P o-1 | represents the absolute distance between the positions of two consecutive handling equipment, V r represents the traveling speed of the handling equipment on the r-th path segment, T r represents the traveling time on the r-th path segment, F is the total number of handling equipment position segments, and M is the total number of handling equipment traveling path segments.

[0029] As a further solution of the present invention, the steps for obtaining the cargo form adaptation storage result are specifically as follows:

[0030] S401: Based on the shelf position and path planning record, refer to the volume, form change characteristics, support requirements, and compression characteristics of the cargo, record the cargo whose form changes during storage, calculate the size deviation of the form-changing cargo in the differential storage stage, and obtain the form-changing cargo size deviation data;

[0031] S402: Use the form-changing cargo size deviation data to evaluate the impact of the differential support method on the form change of the cargo, evaluate the impact of the support method on the form retention of the cargo, and adjust the support structure in the storage area to obtain the cargo support method adjustment record;

[0032] S403: According to the cargo support method adjustment record, screen the cargo with compression characteristics, identify the storage spacing requirements of the compressed cargo, optimize the storage spacing, and adjust the placement direction of the cargo to match the shape of the storage unit to obtain the cargo form adaptation storage result.

[0033] As a further solution of the present invention, the method further includes step S5:

[0034] S5: Adapt the storage result according to the form of the goods, adjust the storage frame according to the boundary size of the storage unit, evaluate the influence of the support structure of the storage unit on the pressure distribution of the goods, adjust the storage density using the spacing between the storage levels of the goods, optimize the load bearing distribution of the shelf to avoid local overloading, obtain the adjustment result of the storage unit, optimize the warehousing layout, and perform dynamic allocation of the goods;

[0035] The adjustment result of the storage unit includes the size of the storage frame, the unit pressure distribution, and the load balance degree of the shelf.

[0036] As a further solution of the present invention, the specific steps for obtaining the adjustment result of the storage unit are as follows:

[0037] S501: Adapt the storage result according to the form of the goods, call the boundary size of the storage unit, analyze the available space inside the storage unit, adjust the boundary size of the storage frame, match the storage volume of the goods, and obtain the adjustment data of the storage frame;

[0038] S502: Based on the adjustment data of the storage frame, evaluate the influence of the support structure of the storage unit on the pressure distribution of the goods, identify the force differences of the goods under different support structures, screen the storage methods with balanced forces, and obtain the optimization data of the storage unit support;

[0039] S503: According to the optimization data of the storage unit support, call the spacing data between the storage levels of the goods, calculate the storage density between different levels, adjust the storage spacing, analyze the load bearing distribution in multiple areas of the shelf, avoid local overloading, obtain the adjustment result of the storage unit, and adjust the spatial layout between the storage units to perform dynamic allocation of the goods.

[0040] On the other hand, the warehousing system used in intelligent logistics is used to execute the above-mentioned warehousing method for intelligent logistics. The system includes:

[0041] The goods movement monitoring module obtains the inbound time, outbound time, storage duration, access times, and storage area, calculates the number of goods movements per unit time, screens the goods according to the change range of the access times and records the storage locations, analyzes the goods flow trend between the shelf areas, and analyzes the path repetition situation in combination with the driving trajectory of the automated handling equipment to obtain the goods flow monitoring result;

[0042] The shelf spacing adjustment module calls the goods flow monitoring result, records the number of goods placed in a unit storage space, analyzes the adjustment range of the storage levels of the shelf, adjusts the shelf spacing to optimize the goods flow path, and calculates the adjustment ratio of the channel width according to the passage area of the handling equipment to obtain the storage density adjustment result;

[0043] The handling path optimization module uses the storage density adjustment result to analyze the impact of the shelf arrangement on the driving path, adjusts the shelf order to avoid the driving intersection points of the handling equipment, optimizes the operation route of the handling equipment, and obtains the shelf position and path planning record;

[0044] The cargo volume change recognition module uses the shelf position and path planning record to analyze the characteristics of cargo volume, shape change, support requirements and compression characteristics, calculates the compression cargo volume change ratio using the intelligent shelf, and adjusts the storage spacing to match the shape of the storage unit to obtain the storage result adapted to the cargo shape;

[0045] The load distribution adjustment module analyzes the adjustment range of the storage unit boundary size through the storage result adapted to the cargo shape, evaluates the impact of the storage unit support structure on the cargo pressure distribution, adjusts the storage layer spacing to optimize the shelf load distribution, and obtains the storage unit adjustment result.

[0046] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include:

[0047] By collecting and analyzing data such as the inbound and outbound times and the access times of the goods, the layout and storage levels of the shelves are effectively adjusted to realize the optimized use of the warehouse space. Adjusting the shelf spacing and the shelf arrangement order not only avoids the driving distance of the handling equipment, but also optimizes the operation route and avoids the path intersection points. Such adjustments make the warehouse operation more efficient and reduce the accident risk caused by path intersections at the same time. By observing and evaluating the cargo shape, adjusting the storage direction and spacing, not only improves the utilization rate of the storage space, but also protects the goods from uneven pressure distribution. This meticulous optimization of the warehouse space and resource management significantly improves the overall operation efficiency and cargo safety of the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the working process of the present invention;

[0049] Figure 2 It is a system flowchart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0050] The technical solutions in the present invention will be described below with reference to the drawings.

[0051] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0052] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0053] Please refer to Figure 1 , an embodiment of the present invention provides a warehousing method for intelligent logistics. The processing flow of this method may include the following steps:

[0054] S1: Collect data on the inbound and outbound times, storage duration, access times, and storage area of goods, record the number of goods movements per unit time in the storage area, count the change range of access times, screen the goods with changing access times, mark the storage locations, adjust the layout method between the shelves to match the storage requirements, and obtain the goods flow monitoring results;

[0055] S2: Adopt the goods flow monitoring results, refer to the arrangement method of the shelves in the storage area, record the number of goods placed in the unit storage space, adjust the storage levels of the shelves to match the access requirements, adjust the shelf spacing to optimize the goods flow path, and adjust the channel width according to the passage area of the handling equipment to obtain the storage density adjustment results;

[0056] S3: Utilize the storage density adjustment results, adjust the arrangement order of the shelves to avoid the driving distance of the handling equipment, optimize the operation route of the handling equipment, and adjust the storage area of the goods to obtain the shelf position and path planning records;

[0057] S4: Based on the shelf position and path planning records, refer to the volume, morphological change characteristics, support requirements, and compression characteristics of the goods, record the goods with morphological changes during storage, evaluate the impact of different support methods on the goods morphology, screen the compressible goods to optimize the storage spacing, and adjust the placement direction of the goods to match the shape of the storage unit to obtain the goods morphology adaptation storage results;

[0058] S5: Through the goods morphology adaptation storage results, adjust the storage frame according to the boundary dimensions of the storage unit, evaluate the impact of the storage unit support structure on the pressure distribution of the goods, utilize the spacing between the storage levels of the goods to adjust the storage density, optimize the shelf load distribution to avoid local overloading, obtain the storage unit adjustment results, optimize the warehousing layout, and perform dynamic allocation of goods;

[0059] The goods flow monitoring results include the goods flow frequency, storage area flow, and goods access change trend. The storage density adjustment results include the space utilization rate, optimized channel width, and storage level density. The shelf position and path planning records include the shelf layout order, optimized handling path plan, and access frequency record. The goods morphology adaptation storage results include the goods compression rate, goods placement direction, and different support types. The storage unit adjustment results include the storage frame size, unit pressure distribution, and shelf load balance degree.

[0060] The steps for obtaining the monitoring results of the goods flow are specifically as follows:

[0061] S101: Collect the data of the goods' inbound and outbound times, storage duration, access times, and storage areas, record the number of goods movements per unit time in the storage area, count the storage duration of each good and file it, identify the access times and the change range per unit time in the storage area, mark the storage locations of the goods with changed access times, and obtain the list of marked goods with access changes;

[0062] To collect the data of the goods' inbound and outbound times, storage duration, access times, and storage areas, data recording needs to be carried out on the warehouse management equipment. The equipment automatically collects the inbound time of the goods through methods such as RFID tags, barcode scanning, and cameras. The outbound time can be extracted by associating with the order management equipment. The storage duration can be calculated by subtracting the inbound time from the outbound time. Set a certain good to be inbound on March 1, 2024, and outbound on March 10, 2024, then its storage duration is 9 days. The access times can be counted based on the access logs of the warehouse management equipment, and each picking operation is counted as one access time. Set a certain good to be picked 3 times during storage, then the access times are 3 times. The storage area data consists of information such as the shelf number and the location code, and is bound to the goods storage record. The equipment counts the number of goods movements per unit time in the storage area, records the inbound and outbound volume of goods for each shelf or area per hour. For example, there are 10 goods movements in Area A within 1 hour and 5 goods movements in Area B, then the number of goods movements per unit time in Area A is high. When counting and filing the storage duration of each good, it is classified according to the goods category, storage time length, and access frequency. Set the average storage time of Category A goods to be 7 days and that of Category B goods to be 15 days. The equipment marks the storage locations of the goods with significantly changed access times by comparing the access times and the change range per unit time in different storage areas. For example, if the access times of the goods in Area C increase from 5 times per day to 10 times, then Area C is marked as the area with increased access frequency, and the list of marked goods with access changes is obtained.

[0063] S102: Based on the list of marked goods with access changes, call the number of goods movements per unit time in the storage area, count the access frequency of goods per unit area in the storage area, analyze the storage density and aisle usage conditions at different positions in the storage area, and obtain the storage density identification record;

[0064] Call the number of goods moved per unit time in the storage area, calculate the access frequency of goods per unit area in the storage area, and set the access frequency calculation formula as: access frequency = number of accesses / unit time / unit area. Set the number of accesses per day in Area A to 100 times and the area to 50 square meters. Then the access frequency in Area A is 100 / 24 / 50 ≈ 0.083. The number of accesses per day in Area B is 200 times and the area is 80 square meters. Then the access frequency in Area B is 200 / 24 / 80 ≈ 0.104. Calculate the access frequencies of each storage area, analyze the storage density and aisle usage of different positions in the storage area. The storage density can be measured by the number of stored goods per unit area. Set the shelf area in Area A to 50 square meters and the number of stored goods to 500 pieces. Then the storage density is 500 / 50 = 10. The shelf area in Area B is 80 square meters and the number of stored goods is 600 pieces. Then the storage density is 600 / 80 = 7.5. The aisle usage can be calculated by the number of goods passing through the aisle per unit time. For example, if 50 pieces of goods pass through a certain aisle in 1 hour and only 20 pieces of goods pass through another aisle in 1 hour, then the former aisle has a higher usage rate. Obtain the storage density identification record.

[0065] S103: According to the storage density identification record, evaluate the impact of the shelf layout on the storage density and aisle usage, adjust the shelf spacing, and conduct storage area division to match the storage requirements of the goods, and obtain the goods flow monitoring result;

[0066] Evaluate the impact of the shelf layout on the storage density and aisle usage, analyze the impact of high and low storage density on the storage efficiency. For example, if the storage density in a certain area is 12 pieces per square meter while in another area it is 5 pieces per square meter, the area with a high density leads to a decrease in the access efficiency. By calculating the relationship between the storage density and the access frequency, determine whether the high storage density affects the access efficiency. For example, the storage density in Area A is 10 pieces per square meter and the access frequency is 0.1 times per hour per square meter, while the storage density in Area B is 5 pieces per square meter and the access frequency is 0.15 times per hour per square meter. Then it can be judged that the access in Area A is restricted due to the high storage density. When adjusting the shelf spacing, optimize it according to the aisle usage. For example, if the goods throughput of a certain aisle is high but the space is narrow, it can be appropriately widened. For example, if the original aisle width is 1.2 meters, it can be adjusted to 1.5 meters to improve the passing capacity. When conducting the storage area division, partition according to the access frequency and storage density. For example, set the area with a high access frequency as the fast access area, and adjust the area with a high storage density to the low-frequency storage area. By matching the storage requirements of the goods, combining the goods categories, sizes, and access characteristics, optimize the goods distribution. For example, store the small goods with high-frequency access near the entrance and exit to reduce the access time, and obtain the goods flow monitoring result.

[0067] The specific steps for obtaining the storage density adjustment result are as follows:

[0068] S201: Use the results of goods flow monitoring, refer to the shelf arrangement in the storage area, record the number of goods placed in a unit storage space, calculate the goods storage ratio in the storage area, count the goods storage ratio of different shelves in the storage area, and obtain the goods storage ratio data;

[0069] Refer to the shelf arrangement in the storage area, call the goods flow monitoring data in the warehouse management equipment, identify the shelf arrangement structure of each storage area, including information such as the number of shelf layers, shelf spacing, and bin size. When recording the number of goods placed in a unit storage space, it is necessary to determine the specific size of the goods and the maximum load capacity of the shelf to calculate the goods storage ratio in the storage area. Set the total volume of the shelves in a certain warehouse as V, and the standard volume of each bin as V s and the actual volume of the goods stored in each bin is V a , then the calculation formula for the storage ratio AB is as follows:

[0070]

[0071] Set that there are 100 bins in the shelves of a certain area, the standard volume of each bin is 1 cubic meter, and the total volume is 100 cubic meters. The actual total volume of the goods stored in the current bin is 80 cubic meters. Then the storage ratio is calculated as follows:

[0072]

[0073] When counting the goods storage ratio of different shelves in the storage area, it is necessary to analyze the storage situation of shelves at different heights and levels. Set that high-level shelves mainly store goods with low-frequency access, while middle-level and low-level shelves store goods with frequent access. Record the goods storage situation at different levels through the warehouse management equipment and calculate its proportion in the total storage volume. For example, the proportion of goods stored in high-level shelves is 30%, the middle level is 50%, and the low level is 20%. The equipment archives the data and analyzes the storage trend of goods at different shelf levels in combination with the goods flow monitoring data. Set that the utilization rate of high-level shelves decreases month by month, while the utilization rate of middle-level shelves increases. Then it is necessary to optimize the goods placement strategy to obtain the goods storage ratio data.

[0074] S202: Based on the goods storage ratio data, record the access times of multiple shelf storage levels, calculate the access time weight value, screen the storage levels with priority access times, adjust the storage level distribution of the shelves, and match the access requirements to obtain the storage level adjustment result;

[0075] The formula for calculating the access time weight value is:

[0076]

[0077] Among them, T iRepresents the weight value of the access times for the storage level i of the shelf, S i,j Represents the storage proportion of the goods type j corresponding to the storage level i of the shelf, R j Represents the access frequency of the goods type j. m represents the total number of storage levels of the shelf, and n represents the total number of goods types, W i Represents the weight factor of the storage level i of the shelf. k represents the index of the storage level, and j represents the index of the goods type;

[0078] Parameter acquisition method and specific value setting:

[0079] The storage level i of the shelf is set to 5 layers, the total number of storage levels of the shelf m = 5, the goods type j is set to 3 types, and the total number of goods types n = 3;

[0080] Storage proportion of goods S i,j Calculated by the warehouse management system based on the storage data, representing the proportion of the goods type j corresponding to a certain storage level i. The data is from the storage records of 3 months and is calculated according to the average storage proportion of the goods types. The set monitoring data is as follows:

[0081] S 1,1 = 0.30, S 1,2 = 0.25, S 1,3 = 0.45;

[0082] S 2,1 = 0.20, S 2,2 = 0.35, S 2,3 = 0.45;

[0083] S 3,1 = 0.40, S 3,2 = 0.30, S 3,3 = 0.30;

[0084] S 4,1 = 0.50, S 4,2 = 0.20, S 4,3 = 0.30;

[0085] S 5,1 = 0.30, S 5,2 = 0.50, S 5,3 = 0.20;

[0086] Goods access frequency R j Calculated by the inventory management device based on the inbound and outbound data of 6 months, taking the average daily access times as the access frequency. The data is as follows:

[0087] R1 = 50, R2 = 80, R3 = 40;

[0088] Shelf storage level weight factor W iCalculated based on the accessibility of each storage level in the shelf, a coefficient that decreases from the bottom layer to the top layer is set, and the values are as follows:

[0089] W1 = 1.0, W2 = 0.9, W3 = 0.8, W4 = 0.7, W5 = 0.6;

[0090] Formula calculation and derivation process:

[0091] Calculate the access frequency weight value T of each storage level i , calculate the numerator part for each i:

[0092] S i,1 ·R1 + S i,2 ·R2 + S i,3 ·R3;

[0093] Calculate the denominator part, that is, the sum of all levels:

[0094]

[0095]

[0096] Calculate the access frequency weight value T of each layer i :

[0097]

[0098] The results show that the access frequency weight value of the first layer is the highest, which is 0.188, and the access frequency weight value of the fifth layer is the lowest, which is 0.135. Combining the storage level adjustment strategy, the layers with high access frequencies need to appropriately expand the storage capacity, and the layers with low access frequencies need to reallocate the storage resources.

[0099] S203: Call the storage level adjustment result, evaluate the impact of the adjusted shelf spacing on the goods flow path, adjust the shelf spacing, identify the width requirements of the passage area for the handling equipment, and adjust the width of the differentiated passages in the storage area to obtain the storage density adjustment result;

[0100] Evaluate the impact of the adjusted shelf spacing on the goods flow path. Analyze the goods flow path through warehouse logistics simulation. For example, before adjustment, the goods needed to pass through 3 channels from the picking point to the outbound area, with a total travel distance of 50 meters. After adjustment, it was reduced to 2 channels, and the total travel distance dropped to 40 meters. When adjusting the shelf spacing, consider the balance between storage density and passage demand. For example, the original spacing of a certain shelf was 1.2 meters, which was adjusted to 1.5 meters to improve passage efficiency. When identifying the width requirements of the passage for the travel area of handling equipment, measure the equipment width and set a safety distance. Set the forklift width at 1.2 meters and the safety distance at 0.3 meters, then the minimum passage width should be set at 1.5 meters. When adjusting the width of the differentiated channels in the storage area, optimize according to the equipment travel data. For example, the main channel was adjusted from 2 meters to 2.5 meters, and the secondary channel remained at 1.5 meters, and the storage density adjustment result was obtained.

[0101] The specific steps for obtaining the records of shelf positions and path planning are as follows:

[0102] S301: Utilize the storage density adjustment result to analyze the average travel distance from the shelves to the key handling channels, screen the shelves with long travel distances, adjust the shelf arrangement order, and obtain the shelf arrangement adjustment data;

[0103] Analyze the average travel distance from the shelves to the key handling channels. Extract the coordinate data of the shelves and channels from the warehouse management equipment and the automatic guided vehicle (AGV) equipment. Use the warehouse entrance, outbound point, or the center line of the main channel as the reference point to calculate the average travel distance from the shelves to the key handling channels. The calculation formula is as follows:

[0104]

[0105] Among them, D avg is the average travel distance from the shelf to the main channel, D a is the shortest travel path length from each shelf a to the main channel, and N is the total number of shelves;

[0106] Suppose there are 5 shelves in a certain warehouse, and their distances to the main channel are 8m, 12m, 15m, 10m, and 18m respectively. Then the average travel distance is calculated as follows:

[0107]

[0108] When screening the shelves with long travel distances, set a threshold. Set that when the travel distance of a certain shelf is greater than 20% of the average travel distance, the shelf is marked as a shelf with a long travel distance, that is, when D a > 1.2×D avg , include the shelf in the optimization scope. Set that if D avgIf it is 12.6 m, then 1.2 times the threshold is 15.12 m. Shelves exceeding this value need to be adjusted. When adjusting the arrangement order of the shelves, move the shelves with long travel distances towards the aisle direction while ensuring unobstructed goods flow. For example, adjust the shelf originally at 18 m to 12 m, and obtain the shelf arrangement adjustment data.

[0109] S302: Based on the shelf arrangement adjustment data, call the running trajectory of the handling equipment, count the number of access path intersection points, adjust the running route of the handling equipment to avoid the access path intersection points, and obtain the shelf position and path planning record;

[0110] Adjust the running route of the handling equipment using the formula:

[0111]

[0112] where Z represents the total running path length of the handling equipment, P o represents the real-time position coordinates of the o-th handling equipment, P o-1 represents the coordinates of the previous position, |P o -P o-1 | represents the Euclidean distance between the positions of two consecutive handling equipment, V r represents the traveling speed of the handling equipment on the r-th path segment, T r represents the traveling time on the r-th path segment, F is the total number of handling equipment position segments, and M is the total number of handling equipment traveling path segments;

[0113] Detailed parameter explanations and calculation process:

[0114] Z: The total running path length of the handling equipment, in meters (m);

[0115] P o : The current position coordinates of the o-th handling equipment, represented by two-dimensional coordinates, such as (x o , y o );

[0116] P o-1 : The coordinates of the previous position, represented as (x o-1 , y o-1 );

[0117] |P o -P o-1 |: The Euclidean distance between the positions of two consecutive handling equipment, calculated as

[0118] V r : The traveling speed of the handling equipment on the r-th path segment, in meters per second (m / s);

[0119] T r: Travel time on the r-th path, in seconds (s);

[0120] Parameter acquisition method:

[0121] Position coordinate P o and P o-1 : Obtained in real time through the positioning system (such as GPS or indoor positioning system) on the handling device;

[0122] Speed V r : Recorded by the speed sensor or control device of the handling device;

[0123] Time T r : Obtained through the time recording device of the device;

[0124] Specific numerical examples:

[0125] Position coordinates:

[0126] P0 = (2, 3) meters, P1 = (5, 7) meters, P2 = (9, 11) meters;

[0127] Speed and time:

[0128] The first path: V1 = 1.5 m / s, T1 = 10 s;

[0129] The second path: V2 = 1.2 m / s, T2 = 8 s;

[0130] Calculation process:

[0131] Calculation of distance between positions:

[0132] The first distance:

[0133]

[0134] The second distance:

[0135]

[0136] Calculation of weighted speed adjustment amount:

[0137]

[0138] Calculation of total path length:

[0139] Z = 5 + 5.66 + 5.83 ≈ 16.49;

[0140] The calculation results show that the total path length of the handling device is approximately 16.49 meters. This value reflects the total distance traveled by the device during the task execution, which helps to evaluate the working efficiency of the device and the rationality of the path planning.

[0141] The steps for obtaining the storage results adapted to the goods form are specifically as follows:

[0142] S401: Based on the shelf position and path planning records, referring to the volume, form change characteristics, support requirements, and compression characteristics of the goods, record the goods whose forms change during storage, calculate the dimensional deviation of the form-changing goods in the differential storage stage, and obtain the dimensional deviation data of the form-changing goods;

[0143] Referring to the volume, form change characteristics, support requirements, and compression characteristics of the goods, mark the goods whose forms change during storage in the warehousing management equipment, including liquid-packaged goods (such as soft-packaged beverages), flexible materials (such as fabrics, rubber products), and compressible goods (such as foam packaging pieces). Use a laser measurement device or a weight sensor to record the form changes of the goods at different storage stages, and calculate the dimensional deviation of the form-changing goods in the differential storage stage. The dimensional deviation formula is as follows:

[0144] ΔS = |S initial -S current |;

[0145] Where, ΔS is the dimensional deviation, S initial is the initial storage dimension of the goods, and S current is the current storage dimension;

[0146] Set the initial height of a certain soft-packaged beverage to 25 cm. After 30 days of storage, it is deformed to 23 cm due to stacking pressure. Then the dimensional deviation is:

[0147] ΔS = |25 - 23| = 2;

[0148] For different types of form-changing goods, the calculation of the dimensional deviation needs to consider the storage time, stacking method, and environmental factors, such as the influence of temperature and humidity on the shrinkage of fabrics, to obtain the dimensional deviation data of the form-changing goods.

[0149] S402: Use the dimensional deviation data of the form-changing goods to evaluate the influence of the differential support method on the form change of the goods, evaluate the influence of the support method on the form retention of the goods, and adjust the support structure in the storage area to obtain the record of the adjustment of the goods support method;

[0150] Evaluate the influence of the differential support method on the form change of the goods, classify and evaluate the form change situations of different storage methods, set the influence of methods such as pallet storage, hanging storage, and box support on the form change of the goods, and calculate the influence of the support method by comparing the form change rate η. The formula is as follows:

[0151]

[0152] Set that when a certain rubber product is stored in a stack on a flat surface, its size shrinks by 5 cm after 30 days, while when stored using a customized support frame, it only shrinks by 1 cm. Then their shape change rates are as follows:

[0153] The flat surface deformation rate is:

[0154]

[0155] The support frame deformation rate is:

[0156]

[0157] From this judgment, the support frame can effectively reduce the shape change. After evaluating the influence of the support method on the shape maintenance of the goods, combined with the storage requirements of different goods, adjust the support structure in the storage area, such as adding rigid supports for easily deformed goods and providing adjustable storage racks for flexible goods, to obtain the record of the adjustment of the goods support method.

[0158] S403: According to the record of the adjustment of the goods support method, screen the goods with compression characteristics, identify the storage spacing requirements of the goods after compression, optimize the storage spacing, and adjust the placement direction of the goods to match the shape of the storage unit, to obtain the storage result adapted to the goods shape;

[0159] Screen the goods with compression characteristics, including deformable packaged goods, foam fillers, etc., identify the storage spacing requirements of the goods after compression, use a pressure sensor to test the deformation degree of the compressed goods under different loads, and calculate the storage spacing adjustment value Δd:

[0160] Δd = S initial -S compressed ;

[0161] Among them, S compressed is the deformation thickness of the goods after compression;

[0162] Set that the initial thickness of a certain foam packaging is 10 cm, and it is compressed to 8 cm under a pressure of 100 N. Then the storage spacing adjustment value is:

[0163] Δd = 10 - 8 = 2;

[0164] When optimizing the storage spacing, adjust the height of the shelf or the stacking method of the goods, such as adjusting the original 5 - layer stacking to 6 - layer stacking to improve the space utilization rate, and adjust the placement direction of the goods to match the shape of the storage unit, such as changing the horizontal placement of long - shaped goods to vertical placement to reduce the floor area, to obtain the storage result adapted to the goods shape.

[0165] The specific steps for obtaining the adjustment result of the storage unit are as follows:

[0166] S501: Adapt the storage result according to the form of the goods, call the boundary dimensions of the storage unit, analyze the available space inside the storage unit, adjust the boundary dimensions of the storage frame to match the storage volume of the goods, and obtain the adjustment data of the storage frame;

[0167] Call the boundary dimensions of the storage unit, extract the external dimensions, internal available space and storage volume of the goods of the storage unit, analyze the available space inside the storage unit, measure the gap between the goods and the inner wall of the storage unit, identify the unused space. For example, if the external dimensions of a storage unit are 120 cm × 80 cm × 150 cm, the internal dimensions are 118 cm × 78 cm × 148 cm, and the size of the stored goods is 110 cm × 75 cm × 145 cm, then the internal available space is (118 - 110) cm × (78 - 75) cm × (148 - 145) cm, that is, 8 cm × 3 cm × 3 cm. When adjusting the boundary dimensions of the storage frame, optimize the frame dimensions according to the storage volume of the goods. For example, reduce the internal gap of the storage unit to reduce the shaking or tilting of the goods and ensure the stability of the goods. If the form of the goods adapts to the storage result and shows that a certain type of goods is tilted or squeezed and deformed due to space mismatch, then adjust the frame dimensions to make it more fitting to the shape of the goods, and set to increase the cushion or support rod in the height direction to make the goods more matching with the storage unit, and obtain the adjustment data of the storage frame.

[0168] S502: Based on the adjustment data of the storage frame, evaluate the influence of the support structure of the storage unit on the pressure distribution of the goods, identify the force differences of the goods under different support structures, screen the storage methods with balanced force, and obtain the support optimization data of the storage unit;

[0169] Evaluate the influence of the support structure of the storage unit on the pressure distribution of the goods, analyze the differences in the pressure distribution of the goods by different types of storage units (such as metal frames, plastic pallets, wooden brackets), call the pressure test data, measure the force balance of the goods on different storage units. Set that when a certain goods is stored on a wooden bracket, the four corners at the bottom are stressed 50 N and the middle part is only stressed 10 N, resulting in the sinking of the central part, while when stored on a metal frame, the four corners are stressed 40 N and the middle part is stressed 30 N, and the force is more balanced. After identifying the force differences of the goods under different support structures, compare the pressure distribution curves of different storage methods, screen the storage methods with balanced force. For example, for highly flexible or easily deformed goods, adopt the method of increasing the bottom support surface or adding buffer pads to make the force more uniform, and obtain the support optimization data of the storage unit.

[0170] S503: According to the support optimization data of the storage unit, call the spacing data between the storage levels of the goods, calculate the storage density between different levels, adjust the storage spacing, analyze the load-bearing distribution in multiple areas of the shelf, avoid local overloading, obtain the adjustment result of the storage unit, and adjust the spatial layout between the storage units to carry out dynamic allocation of the goods;

[0171] Call the spacing data between the levels of goods storage, analyze the storage density of different levels, identify high-density storage areas and low-density areas. When adjusting the storage spacing, appropriately disperse the high-density areas. For example, if the storage density of the goods on the upper layer of a certain shelf is 80%, while that on the lower layer is only 50%, the storage density can be made more balanced by adjusting the layer height or reallocating the storage positions of the goods. When analyzing the load distribution in multiple areas of the shelf, detect the weight-bearing conditions of different areas. If a certain area exceeds the maximum load-bearing threshold of the shelf, adjust the way of storing goods to avoid local overloading. For example, store lighter goods on the upper layer of the shelf, adjust high-weight goods to the bottom layer or strengthen the support structure to obtain the adjustment result of the storage unit. Adjust the spatial layout between storage units to make the overall storage in the warehouse more reasonable, and dynamically allocate in combination with the demand for goods. Set that when the storage density in a certain area is too high and inconvenient for access and storage, some goods can be temporarily adjusted to the low-density area to optimize the access efficiency.

[0172] Please refer to Figure 2 , a warehousing system used in intelligent logistics. The system includes:

[0173] The goods movement monitoring module obtains the inbound time, outbound time, storage duration, access times, and storage area, calculates the number of goods movements per unit time, screens goods according to the change range of access times and records the storage positions, analyzes the goods flow trend between shelf areas, and analyzes the path repetition situation in combination with the driving trajectory of the automated handling equipment to obtain the goods flow monitoring result;

[0174] The shelf spacing adjustment module calls the goods flow monitoring result, records the number of goods placed in the unit storage space, analyzes the adjustment range of the shelf storage level, adjusts the shelf spacing to optimize the goods flow path, and calculates the channel width adjustment ratio according to the passing area of the handling equipment to obtain the storage density adjustment result;

[0175] The handling path optimization module uses the storage density adjustment result, analyzes the influence of the shelf arrangement on the driving path, adjusts the shelf order to avoid the driving intersection points of the handling equipment, and optimizes the operation route of the handling equipment to obtain the shelf position and path planning record;

[0176] The goods volume change recognition module uses the shelf position and path planning record to analyze the characteristics of goods volume, shape change, support demand, and compression characteristics, calculates the change ratio of the compressed goods volume using the intelligent shelf, and adjusts the storage spacing to match the shape of the storage unit to obtain the storage result adapted to the goods form;

[0177] The load distribution adjustment module analyzes the adjustment range of the boundary size of the storage unit through the storage result adapted to the goods form, evaluates the influence of the support structure of the storage unit on the goods pressure distribution, adjusts the storage level spacing to optimize the shelf load distribution, and obtains the adjustment result of the storage unit.

[0178] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claimed rights.

Claims

1. A warehousing method used in smart logistics, characterized in that: The following steps are involved: S1: Collect the data of goods in and out of the warehouse, storage time, access times and storage area, record the number of goods moved per unit time in the storage area, count the change range of access times, adjust the layout between shelves, and obtain the goods flow monitoring results; S2: Using the cargo flow monitoring results, referring to the shelf arrangement in the storage area, recording the number of cargo placed in the unit storage space, adjusting the storage level of the shelf, adjusting the channel width according to the passage area of ​​the handling equipment, and obtaining the storage density adjustment result; S3: Using the storage density adjustment result, adjust the shelf arrangement order to avoid the travel distance of the handling equipment, optimize the operation route of the handling equipment, adjust the storage area of ​​the goods, and obtain the shelf position and path planning record; S4: Based on the shelf position and path planning records, referring to the volume, shape change characteristics, support requirements and compression characteristics of the goods, record the goods whose shapes change during storage, evaluate the impact of differentiated support methods on the shape of the goods, screen compressible goods to optimize storage spacing, adjust the placement direction of the goods to match the shape of the storage unit, obtain the storage results of the goods shape adaptation, and dynamically adjust the goods storage method.

2. The warehousing method for smart logistics according to claim 1 is characterized in that: The cargo flow monitoring results include cargo flow frequency, storage area flow, and cargo access change trends; the storage density adjustment results include space utilization, channel optimization width, and storage level density; the shelf position and path planning records include shelf layout sequence, transportation path optimization plan, and access frequency records; the cargo form adaptation storage results include cargo compression rate, cargo placement direction, and differentiated support types.

3. The warehousing method for smart logistics according to claim 1 is characterized in that: The steps for obtaining the cargo flow monitoring results are specifically as follows: S101: Collect the entry and exit time, storage time, access times and storage area data of the goods, record the number of goods moved per unit time in the storage area, count the storage time of each goods and archive them, identify the access times of the storage area and the change range per unit time, mark the storage locations of the goods with changed access times, and obtain a marked list of goods with changed access times; S102: Based on the access change goods mark list, the number of goods moved per unit time in the storage area is called, the access frequency of goods per unit area in the storage area is counted, the storage density and channel usage of differentiated positions in the storage area are analyzed, and the storage density identification record is obtained; S103: According to the storage density identification record, the impact of shelf layout on storage density and channel usage is evaluated, shelf spacing is adjusted, and storage area division is performed to match cargo storage requirements and obtain cargo flow monitoring results.

4. The warehousing method for smart logistics according to claim 1, characterized in that: The steps of obtaining the storage density adjustment result are specifically as follows: S201: Using the cargo flow monitoring result, referring to the shelf arrangement mode of the storage area, recording the number of cargo placed in the unit storage space, calculating the cargo storage ratio of the storage area, counting the cargo storage ratio of differentiated shelves in the storage area, and obtaining cargo storage ratio data; S202: Based on the cargo storage ratio data, record the access times of multiple shelf storage levels, calculate the access times weight value, select the storage level with the access times priority, adjust the storage level distribution of the shelf, match the access requirements, and obtain the storage level adjustment result; S203: Call the storage level adjustment result, evaluate the impact of the adjusted shelf spacing on the cargo flow path, adjust the shelf spacing, identify the channel width requirements of the passage area of ​​the handling equipment, adjust the width of the differentiated channels in the storage area, and obtain the storage density adjustment result.

5. The warehousing method for smart logistics according to claim 4 is characterized in that: The formula for calculating the access times weight value is: Among them, T i represents the access times weight value of shelf storage level i, S i,j represents the storage ratio of goods type j at shelf storage level i, R j represents the access frequency of product type j, m represents the total number of shelf storage levels, n represents the total number of product types, and W i represents the weight factor of shelf storage level i, k represents the index of the storage level, and j represents the index of the product type.

6. The warehousing method for smart logistics according to claim 1 is characterized in that: The steps for obtaining the shelf location and path planning records are specifically as follows: S301: Analyze the average travel distance from the shelf to the key transport channel using the storage density adjustment result, select shelves with long travel distance, adjust the shelf arrangement order, and obtain shelf arrangement adjustment data; S302: Based on the shelf arrangement adjustment data, call the operation track of the handling equipment, count the number of access path intersections, adjust the operation route of the handling equipment, avoid the access path intersections, and obtain the shelf position and path planning records; The adjustment of the transport equipment operation route adopts the formula: Among them, Z represents the total operating path length of the handling equipment, P o represents the real-time position coordinates of the oth handling device, P o-1 Represents the coordinates of the previous position, |P o -P o-1 | represents the absolute distance between two consecutive handling equipment positions, V r represents the speed of the transport equipment on the rth path, T r represents the travel time on the rth path, F is the total number of transport equipment position segments, and M is the total number of transport equipment travel path segments.

7. The warehousing method for smart logistics according to claim 1, characterized in that: The steps for obtaining the storage result of the cargo form adaptation are specifically as follows: S401: Based on the shelf position and path planning records, referring to the volume, shape change characteristics, support requirements and compression characteristics of the goods, recording the goods whose shape changes during storage, calculating the size deviation of the goods whose shape changes during the differentiated storage stage, and obtaining the size deviation data of the goods whose shape changes; S402: using the shape-changing cargo size deviation data, evaluating the impact of differentiated support methods on cargo shape changes, evaluating the impact of support methods on cargo shape maintenance, adjusting the support structure in the storage area, and obtaining cargo support method adjustment records; S403: According to the cargo support mode adjustment record, the cargo with compression characteristics is screened, the storage spacing requirement of the compressed cargo is identified, the storage spacing is optimized, and the placement direction of the cargo is adjusted to match the storage unit shape to obtain a cargo shape-adaptive storage result.

8. The warehousing method for smart logistics according to claim 1, characterized in that: The method further comprises step S5: S5: By adapting the storage result of the cargo form to the storage frame according to the boundary size of the storage unit, the impact of the storage unit support structure on the cargo pressure distribution is evaluated, the storage density is adjusted by using the spacing between cargo storage levels, the shelf load distribution is optimized to avoid local overload, the storage unit adjustment result is obtained, the warehouse layout is optimized, and the cargo is dynamically allocated; The storage unit adjustment results include storage frame size, unit pressure distribution, and shelf load balance.

9. The warehousing method for smart logistics according to claim 8, characterized in that: The steps of obtaining the adjustment result of the storage unit are specifically as follows: S501: Based on the cargo form adaptation storage result, the boundary size of the storage unit is called, the available space inside the storage unit is analyzed, the boundary size of the storage frame is adjusted, the cargo storage volume is matched, and the storage frame adjustment data is obtained; S502: Based on the storage frame adjustment data, evaluate the impact of the storage unit support structure on the pressure distribution of the cargo, identify the force difference of the cargo under the differentiated support structure, select a storage method with balanced force, and obtain storage unit support optimization data; S503: Based on the storage unit support optimization data, call the spacing data between the cargo storage levels, calculate the storage density between the differentiated levels, adjust the storage spacing, analyze the load distribution in multiple areas of the shelf, avoid local overload, obtain the storage unit adjustment result, and adjust the spatial layout between the storage units to dynamically allocate the cargo.

10. A warehousing system used in smart logistics, characterized in that: According to the warehousing method for smart logistics according to any one of claims 1 to 9, the system comprises: The cargo movement monitoring module obtains the storage time, storage time, access times, storage area, calculates the number of cargo movements per unit time, selects cargo according to the change in access times and records the storage location, analyzes the cargo flow trend between shelf areas, and analyzes the path duplication in combination with the driving trajectory of the automated handling equipment to obtain cargo flow monitoring results; The shelf spacing adjustment module calls the cargo flow monitoring results, records the number of cargo placed in the unit storage space, analyzes the adjustment range of the shelf storage level, adjusts the shelf spacing to optimize the cargo flow path, calculates the channel width adjustment ratio according to the handling equipment passage area, and obtains the storage density adjustment result; The transport path optimization module uses the storage density adjustment result to analyze the impact of shelf arrangement on the driving path, adjusts the order of shelves to avoid the intersection of the transport equipment, optimizes the operation route of the transport equipment, and obtains the shelf position and path planning records; The cargo volume change recognition module uses the shelf position and path planning records to analyze the cargo volume, shape change characteristics, support requirements and compression characteristics, uses the smart shelf to calculate the volume change ratio of the compressed cargo, adjusts the storage spacing to match the storage unit shape, and obtains the cargo shape adaptation storage result; The load distribution adjustment module adapts the storage result to the cargo form, analyzes the adjustment range of the storage unit boundary size, evaluates the impact of the storage unit support structure on the cargo pressure distribution, adjusts the storage level spacing to optimize the shelf load distribution, and obtains the storage unit adjustment result.

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