Campus intelligent unmanned logistics trolley internal space variable loading and algorithm design

Abstract

The invention provides an internal space variable loading and algorithm design of a campus intelligent unmanned logistics trolley. The method is characterized by comprising a trolley internal space variable loading structure design and a rapid loading algorithm; according to the design of the loading structure with the variable internal space, the characteristics that part of express parcels cannot bear pressure and the like are considered, reasonable partition and variable adjustment of the internal loading space are achieved through a stand column, a sliding rail and a partition plate system, and the loading requirements of parcels with different sizes are met while the parcels which are fragile and cannot bear pressure and the like are stacked in a separate partition mode; the rapid loading algorithm mainly aims at an internal variable loading space, a flexible package combined type loading scheme is rapidly formed based on heuristic rules such as package grouping, sorting and boxing, and the utilization rate of the loading space of the trolley is increased while package stacking safety is guaranteed. The intelligent unmanned logistics trolley aims at serving teachers and students in a campus, the appearance of the intelligent unmanned logistics trolley adopts a double-side door opening mode, and the service efficiency and the service level of the trolley are improved through variable loading and algorithm design of the inner space of the trolley.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned logistics vehicle dispatching operations, and specifically to a campus intelligent unmanned logistics vehicle with variable internal space loading and algorithm design. Background Art

[0002] Due to various factors such as the school life environment, college students have become the main group of online shopping in contemporary times. In order to increase the efficiency of express delivery and the convenience of life for teachers and students, many colleges and universities have launched campus intelligent unmanned logistics vehicle services in combination with their subject and professional advantages. Common unmanned logistics vehicles mostly use a fixed space division inside, and each package occupies a fixed storage unit space. Due to the different sizes of packages, it is easy to cause space waste. In order to achieve efficient use of the limited space inside the vehicle, it is necessary to explore the design of its internal space variable loading structure and rapid loading algorithm, while ensuring the safety of fragile and non-pressure-bearing packages, while improving the utilization rate of the vehicle's internal loading space, which is of great significance to improving the service efficiency and level of campus intelligent unmanned logistics vehicles. Summary of the invention

[0003] The purpose of this invention is to improve the service efficiency and level of the campus intelligent unmanned logistics vehicle, so as to design a variable loading structure and a fast loading algorithm for the internal space of the logistics vehicle, while ensuring the safety of logistics package loading and stacking, and improving the utilization rate of the limited loading space inside the vehicle.

[0004] The present invention is achieved through the following technical solutions:

[0005] The present invention proposes a campus intelligent unmanned logistics vehicle with variable internal space loading and algorithm design, which is characterized by: including a variable internal space loading structure design and a fast loading algorithm. The variable internal space loading structure design realizes reasonable partitioning and variable adjustment of the internal loading space through columns and partitions. The fast loading algorithm mainly targets the internal variable loading space and quickly forms a flexible package combination loading scheme based on heuristic rules such as package grouping, sorting and packing.

[0006] Preferably, the variable loading and algorithm design of the interior space of the campus intelligent unmanned logistics vehicle is characterized in that the variable loading structure design of the interior space of the vehicle mainly includes a double-sided door opening structure, a column and slide rail system, and an adjustable partition system design.

[0007] Furthermore, the variable loading structure design of the interior space of the trolley is specifically configured as follows:

[0008] S1. The car compartment adopts a double-sided door design, which is convenient for express parcels to be packed or picked up from both sides according to the principle of proximity. At the same time, when it rains or snows, the side doors can also serve as a shield to ensure the safety of parcels when packing or picking up;

[0009] S2. Design of the column and slide rail system. The column and slide rail system are set inside the trolley near the double side doors. The slide rail system is set at the bottom and top of the car body parallel to the side door opening direction, and keeps the same plane as the box body, which is convenient for packing or picking up packages; corresponding to the slide rail system, multiple columns are arranged on both sides, and the columns use the slide rail system to move left and right to achieve variable adjustment of the interior space of the trolley in the horizontal direction. At the same time, there are slots on the columns to achieve the support and height adjustment of the partitions;

[0010] S3. Adjustable partition system design, the partition is fixed in the slot of the column through the built-in snap-on structure, realizing the variable adjustment and multi-layer stacking of the interior space of the trolley in the vertical direction. At the same time, there are a variety of partitions of different sizes to meet the loading needs of express parcels of different sizes.

[0011] Preferably, the fast loading algorithm is mainly aimed at the internal variable loading space, and quickly forms a flexible package combination loading plan based on heuristic rules such as package grouping, sorting and packing.

[0012] Furthermore, the main steps of the fast loading algorithm are as follows:

[0013] S1. Logistics package grouping rules:

[0014] S11. According to whether the packages can be stacked in multiple layers, they are divided into non-pressure-bearing packages and pressure-bearing packages;

[0015] S2. Logistics package sorting rules:

[0016] S21. For packages that cannot bear pressure, sort them in order of size from large to small and weight from high to low;

[0017] S22. For packages that can withstand pressure, sort them in order of size from large to small and weight from high to low;

[0018] S3. Logistics package packing rules:

[0019] S31. First allocate loading space to non-pressure-bearing packages, and then allocate loading space to pressure-bearing packages;

[0020] S32. For the sorted non-pressure-bearing packages, determine the size and model of the partitions according to the size requirements of the largest package, and move the columns to fix the partitions. The sorted non-pressure-bearing packages are stacked in multiple layers using the partitions in turn, and at the same time, according to the principle of heavy objects at the bottom, ensure that the overall center of gravity of the trolley is lower and has better stability;

[0021] S33. For the sorted pressure-bearing packages, determine the size and model of the partitions and the fixed position of the columns according to the size requirements of the largest package. To facilitate picking up the goods, partitions are also appropriately used to divide the space in the vertical direction to avoid too many packages in a single partition, which makes it difficult to find the items when picking up the goods.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] A variable loading and algorithm design for the internal space of a campus intelligent unmanned logistics vehicle is proposed. This technology can realize variable adjustment of the limited storage space inside the logistics vehicle and rapid loading of logistics packages. It can improve the utilization rate of the internal loading space of the vehicle while ensuring the safety of fragile and other non-pressure-bearing packages, thereby improving the service efficiency and level of the campus intelligent unmanned logistics vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The invention provides a variable loading structure and a fast loading algorithm for the interior space of the campus intelligent unmanned logistics vehicle.

[0025] Figure 2 A schematic diagram of the design of the variable loading structure of the internal space of the campus intelligent unmanned logistics vehicle proposed by the present invention;

[0026] Figure 3 The fast loading algorithm process of the campus intelligent unmanned logistics vehicle proposed by the present invention; DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] like Figure 1 and Figure 2 As shown, the present invention provides a method for designing a variable loading structure of the internal space of a logistics trolley. The variable loading structure design of the internal space of the trolley mainly includes a double-sided door opening structure, a column and slide rail system, and an adjustable partition system design.

[0029] In the above technical solution, if Figure 2 As shown, the design method of the variable internal space loading structure is as follows:

[0030] S1. The car compartment adopts a double-sided door design, which is convenient for express parcels to be packed or picked up from both sides according to the principle of proximity. At the same time, when it rains or snows, the side doors can also serve as a shield to ensure the safety of parcels when packing or picking up;

[0031] S2. Design of the column and slide rail system. The column and slide rail system are set inside the trolley near the double side doors. The slide rail system is set at the bottom and top of the car body parallel to the side door opening direction, and keeps the same plane as the box body, which is convenient for packing or picking up packages; corresponding to the slide rail system, multiple columns are arranged on both sides, and the columns use the slide rail system to move left and right to achieve variable adjustment of the interior space of the trolley in the horizontal direction. At the same time, there are slots on the columns to achieve the support and height adjustment of the partitions;

[0032] S3. Adjustable partition system design, the partition is fixed in the slot of the column through the built-in snap-on structure, realizing the variable adjustment and multi-layer stacking of the interior space of the trolley in the vertical direction. At the same time, there are a variety of partitions of different sizes to meet the loading needs of express parcels of different sizes.

[0033] In the above technical solution, if Figure 1 and Figure 3 As shown, the fast loading algorithm mainly targets the internal variable loading space and quickly forms a flexible package combination loading scheme based on heuristic rules such as package grouping, sorting and packing. The main steps are as follows:

[0034] S1. Logistics package grouping rules:

[0035] S11. According to whether the packages can be stacked in multiple layers, they are divided into non-pressure-bearing packages and pressure-bearing packages;

[0036] S2. Logistics package sorting rules:

[0037] S21. For packages that cannot bear pressure, sort them in order of size from large to small and weight from high to low;

[0038] S22. For packages that can withstand pressure, sort them in order of size from large to small and weight from high to low;

[0039] S3. Logistics package packing rules:

[0040] S31. First allocate loading space to non-pressure-bearing packages, and then allocate loading space to pressure-bearing packages;

[0041] S32. For the sorted non-pressure-bearing packages, determine the size and model of the partitions according to the size requirements of the largest package, and move the columns to fix the partitions. The sorted non-pressure-bearing packages are stacked in multiple layers using the partitions in turn, and at the same time, according to the principle of heavy objects at the bottom, ensure that the overall center of gravity of the trolley is lower and has better stability;

[0042] S33. For the sorted pressure-bearing packages, determine the size and model of the partitions and the fixed position of the columns according to the size requirements of the largest package. To facilitate picking up the goods, partitions are also appropriately used to divide the space in the vertical direction to avoid too many packages in a single partition, which makes it difficult to find the items when picking up the goods.

[0043] The operation mode of the present invention is:

[0044] The variable loading and algorithm design of the internal space of a campus intelligent unmanned logistics vehicle includes a variable loading structure design and a fast loading algorithm for the vehicle's internal space. The variable loading structure design of the internal space realizes the reasonable partitioning and variable adjustment of the internal loading space through columns and partitions. The fast loading algorithm is mainly aimed at the internal variable loading space, and quickly forms a flexible package combination loading plan based on heuristic rules such as package grouping, sorting and packing. The variable loading and algorithm design of the internal space of the campus intelligent unmanned logistics vehicle can improve the utilization rate of the internal loading space of the vehicle while ensuring the safety of the package, and significantly improve the service efficiency and level of the vehicle.

[0045] Finally, it should be noted that the above embodiments are only used to illustrate and explain the present invention, and are not intended to limit the present invention to the scope of the described embodiments. In addition, those skilled in the art can understand that the present invention is not limited to the above embodiments, and more variations and modifications can be made according to the teachings of the present invention, and these variations and modifications all fall within the scope of the protection claimed by the present invention.

Claims

1. The variable loading and algorithm design of the internal space of the campus intelligent unmanned logistics vehicle is characterized by: The invention comprises a variable loading structure design of the interior space of the trolley and a rapid loading algorithm; the variable loading structure design of the interior space realizes reasonable partitioning and variable adjustment of the interior loading space through columns and partitions; the rapid loading algorithm mainly targets the interior variable loading space, and rapidly forms a flexible package combination loading scheme based on heuristic rules such as package grouping, sorting and packing.

2. The variable loading and algorithm design of the internal space of the campus intelligent unmanned logistics vehicle according to claim 1 is characterized by: The design of the variable loading structure of the interior space of the trolley mainly includes the double-side door structure, the column and slide rail system, and the adjustable partition system design. The specific scheme is as follows: S1. The car compartment adopts a double-sided door design, which is convenient for express parcels to be packed or picked up from both sides according to the principle of proximity. At the same time, when it rains or snows, the side doors can also serve as a shield to ensure the safety of parcels when packing or picking up; S2. Design of the column and slide rail system. The column and slide rail system are set inside the trolley near the double side doors. The slide rail system is set at the bottom and top of the car body parallel to the side door opening direction, and keeps the same plane as the box body, which is convenient for packing or picking up packages; corresponding to the slide rail system, multiple columns are arranged on both sides, and the columns use the slide rail system to move left and right to achieve variable adjustment of the interior space of the trolley in the horizontal direction. At the same time, there are slots on the columns to achieve the support and height adjustment of the partitions; S3. Adjustable partition system design, the partition is fixed in the slot of the column through the built-in snap-on structure, realizing the variable adjustment and multi-layer stacking of the interior space of the trolley in the vertical direction. At the same time, there are a variety of partitions of different sizes to meet the loading needs of express parcels of different sizes.

3. The variable loading and algorithm design of the internal space of the campus intelligent unmanned logistics vehicle according to claim 1 is characterized by: The fast loading algorithm mainly targets the internal variable loading space and quickly forms a flexible package combination loading plan based on heuristic rules such as package grouping, sorting and packing. The main steps are as follows: S1. Logistics package grouping rules: S11. According to whether the packages can be stacked in multiple layers, they are divided into non-pressure-bearing packages and pressure-bearing packages; S2. Logistics package sorting rules: S21. For packages that cannot bear pressure, sort them in order of size from large to small and weight from high to low; S22. For packages that can withstand pressure, sort them in order of size from large to small and weight from high to low; S3. Logistics package packing rules: S31. First allocate loading space to non-pressure-bearing packages, and then allocate loading space to pressure-bearing packages; S32. For the sorted non-pressure-bearing packages, determine the size and model of the partitions according to the size requirements of the largest package remaining to be loaded, and move the columns to fix the partitions. The sorted non-pressure-bearing packages are stacked in multiple layers using the partitions in turn, and at the same time, according to the principle of heavy objects at the bottom, ensure that the overall center of gravity of the trolley is lower and has better stability; S33. For the sorted pressure-bearing packages, determine the size and model of the partitions and the fixed position of the columns according to the size requirements of the largest package. To facilitate picking up the goods, partitions are also appropriately used to divide the space in the vertical direction to avoid too many packages in a single partition, which makes it difficult to find the items when picking up the goods.

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