Method for balancing the carrying distance of a multi-day rail overhead storage device, water level
By configuring path and water level weights and using Dijkstra's algorithm to optimize material transport paths and storage locations, the problem of low material transport efficiency is solved, and efficient material transport in smart factories is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI GLORYSOFT CO LTD
- Filing Date
- 2023-12-08
- Publication Date
- 2026-05-12
AI Technical Summary
In existing technologies, material control systems fail to effectively consider the transport distance of carriers and the storage balance of aerial storage devices, resulting in low material transportation efficiency in smart factories.
The Dijkstra algorithm is used to configure path weights, and the water level weights of the air storage devices are configured in combination with the quantity and importance of materials on the vehicles. By calculating the weight ratio, materials are delivered first, thereby achieving automatic balance between material transport distance and water level.
By optimizing material handling paths and storage locations, the material transportation efficiency of the smart factory has been improved.
Smart Images

Figure CN117485831B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of automated handling systems, and more specifically to a method for balancing the transport distance and water level of an aerial storage device based on multiple overhead crane tracks. Background Technology
[0002] Overhead crane material handling systems are crucial automated material handling systems in smart factories. By improving material transport efficiency, reducing labor costs, and mitigating pollution risks, they significantly improve the overall production process. Aerial storage units, serving as the storage devices within these systems, play a vital role. The material control system receives transport requests from different systems and places them into the aerial storage units. When multiple aerial storage units exist, the storage location of the carriers, the number of carriers stored in each unit, and the distance traveled by the overhead crane directly impact the factory's material transport efficiency. Currently, the material control system receives transport requests from different systems and randomly places carriers into aerial storage units with available space, failing to adequately consider the transport distance from the carriers to the production process and the storage balance within the aerial storage units, resulting in low material transport efficiency for the factory. Summary of the Invention
[0003] To address the technical problems existing in the prior art, this invention provides a method for balancing the transport distance and water level of a multi-crane track aerial storage device, which can improve the material transportation efficiency of smart factories.
[0004] To achieve the above objectives, the technical solution of the present invention is as follows:
[0005] A method for balancing the transport distance and water level of an aerial storage device using a multi-trailer track, the method comprising the following steps:
[0006] Step 1: Configure path weights;
[0007] Step 2: Configure the water level weight of the airborne storage device;
[0008] Step 3: Configure the calculation of weight percentages;
[0009] Step 4: Calculate the overall weight and distribute materials according to priority based on the overall weight.
[0010] As a preferred technical solution, in step one, according to Dijkstra's algorithm, the distance weights from each location point to the next reachable neighboring point are configured sequentially; if not configured, the weights are infinite.
[0011] As a preferred technical solution, in step two, the carrier for transporting materials is stored in an aerial storage device, and the corresponding water level weight of the aerial storage device is configured according to the quantity and importance of the materials in the carrier.
[0012] As a preferred technical solution, the weight ratio of the configuration calculation is configured as follows: the weight ratio of the path distance, the weight of the material, and the percentage of the used air storage device slots.
[0013] As a preferred technical solution, the path distance weight ratio is configured as x, the material weight ratio is configured as y, and the percentage of used air storage space is configured as z. The overall weight in step four is calculated as follows: Overall weight = Path distance weight × x + Material weight × y + Percentage of used air storage space × z.
[0014] As a preferred technical solution, in step four, the smaller the overall weight value, the higher the corresponding material handling priority.
[0015] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0016] The present invention provides a method for balancing the transport distance and water level of materials based on a multi-crane track aerial storage device. This method can configure the transport distance of the vehicles for different scenarios, and the vehicles occupy different weights in the aerial storage device according to the amount of storage, so as to realize the automatic balance of the transport distance and water level of materials based on the crane transport system, thereby improving the material transportation efficiency of smart factories. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of the path configuration in the method for balancing the transport distance and water level of the multi-crane track aerial storage device of the present invention. Detailed Implementation
[0018] The technical solution of the present invention will be further described below with reference to specific embodiments:
[0019] A method for balancing the transport distance and water level of an aerial storage device using a multi-trailer track, the method comprising the following steps:
[0020] Step 1: Configure path weights, specifically, as follows: Figure 1 As shown, according to Dijkstra's algorithm, the distance weights from each location point to the next reachable neighboring point are configured sequentially; if not configured, the weights are infinite. In the figure, OHT is the overhead crane transport system, OHB is the overhead crane storage device, and EQP is the equipment.
[0021] PA point configuration (with direction)
[0022] Starting point distance end PA 0 PA PB 5 PA
[0023] PB point configuration (with direction)
[0024] Starting point distance end PB 0 PB PB 4 PC
[0025] PC point configuration (with direction)
[0026] Starting point distance end PC 0 PC PC 3 PD ...
[0028] PM point configuration (with direction)
[0029] Starting point distance end PM 0 PM PD 5 PM PL 2 PM ...
[0031] PP point configuration (with direction)
[0032] Starting point distance end PP 0 PP PO 4 PP
[0033] Step 2: The vehicles transporting materials are stored in the aerial storage device, and the corresponding water level weight of the aerial storage device is configured according to the quantity and importance of the materials in the vehicle.
[0034] In this embodiment, as shown in Table 1 below
[0035] Table 1
[0036]
[0037]
[0038] Step 3: Configure the weighting percentages for the calculation, as shown in Table 2 below. Configure the weighting percentages for path distance, material, and percentage of used air storage slots.
[0039] Table 2
[0040] project weight % Path distance weight x Material weight y OHB grid position used % z
[0041] Step four: Calculate the overall weight. Configure the path distance weight as x, the material weight as y, and the percentage of used air storage slots as z. The overall weight is calculated as: Overall Weight = Path Distance Weight × x + Material Weight × y + Percentage of Used Air Storage Slots × z. Materials are delivered according to priority based on the overall weight. The smaller the overall weight value, the higher the corresponding material delivery priority; that is, materials with smaller overall weight values are delivered first.
[0042] This embodiment is merely a further explanation of the present invention and is not intended to limit the present invention. Those skilled in the art can make non-inventive modifications to this embodiment as needed after reading this specification, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.
Claims
1. A method for balancing the transport distance and water level of an aerial storage device based on multiple overhead crane tracks, characterized in that, The method includes the following steps: Step 1: Configure path weights; Step 2: Configure the water level weight of the airborne storage device; Step 3: Configure the weighting percentages; that is, configure the weighting percentages for path distance, material, and percentage of used air storage slots. Step 4: Calculate the overall weight and distribute materials according to priority based on the overall weight; that is, configure the path distance weight as x, the material weight as y, and the percentage of used air storage slots as z. Overall weight = path distance weight × x + material weight × y + percentage of used air storage slots × z. In step two, the vehicle transporting the materials is stored in an aerial storage device, and the corresponding water level weight of the aerial storage device is configured according to the quantity and importance of the materials in the vehicle. In step four, the smaller the overall weight value, the higher the material handling priority.
2. The method for balancing the transport distance and water level of a multi-crane track aerial storage device according to claim 1, characterized in that, In step one, according to Dijkstra's algorithm, the distance weights from each location point to the next reachable neighboring point are configured sequentially; if not configured, the weights are infinite.