CN113627795A - Method, system and device for merging multiple packages and realizing density balance sorting and storage medium - Google Patents
Method, system and device for merging multiple packages and realizing density balance sorting and storage medium Download PDFInfo
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Abstract
The invention relates to a method for balanced sorting of various packages by combining densities, which comprises the following steps: acquiring weight data and volume data of each cargo to be sorted, calculating cargo density, and sequencing the cargos according to the cargo density; selecting different preferred cargos according to a set selection rule, and generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo; screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of the cargos in the final loading container of the sorting scheme or the minimum total freight cost of the cargos as a standard; by applying the scheme of the invention, when goods need to be loaded to a specified container, the balanced distribution control can be carried out through density comparison and container loading upper limit control, so that the purpose of reasonable loading is achieved, the resource utilization rate is improved, and the cost is reduced.
Description
Technical Field
The invention relates to the technical field of logistics transportation, in particular to a method, a system, a device and a storage medium for sorting various packages in a combined density balance manner.
Background
In the logistics industry, weight and volume affect how much goods are ultimately loaded, and thus affect final cost settlement. For this reason, in the links of shipping, loading and the like, the control of weight and volume balance is involved, and the operation is mostly based on experience; reference cannot be provided by actual valid data.
Example 1: the maximum allowable weight of a certain international shipment is 30 kilograms, and the maximum volume is 0.12 cubic; the existing stock has 50 packages of various goods, and the total weight is 305 kilograms and 1.3 cubic meters; how to do the fair distribution packing?
Example 2: a standard 40 inch shipping container, allowed maximum weight of 24 tons, and maximum total cargo volume of 68 cubic meters; the existing stock has 100 goods, and the total amount is 30 tons and 50 cubic meters; how can loading maximize reasonable profit?
A balancing algorithm for combining densities of a plurality of packages is needed, and the aim of reasonable loading is achieved by performing balanced distribution control on the density and the loading density of each package.
Disclosure of Invention
The present invention provides a method for sorting multiple packages in a combined density balanced manner, a system for sorting multiple packages in a combined density balanced manner, a device for sorting multiple packages in a combined density balanced manner, and a storage medium.
The technical scheme adopted by the invention for solving the technical problems is as follows:
constructing a multi-packaging combination density balance sorting method, which comprises the following steps:
the first step is as follows: acquiring weight data and volume data of each cargo to be sorted, calculating cargo density, and sequencing the cargos according to the cargo density;
the second step is that: selecting different preferred cargos according to a set selection rule, and generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo;
the third step: and screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of the cargos in the final loading container of the sorting scheme or the minimum total freight cost of the cargos as a standard.
The invention relates to a method for realizing balanced sorting of various packages by combining densities, wherein the method for realizing the density sorting algorithm comprises the following steps:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating the freight and entering the second step.
The invention discloses a multi-packaging merging density balance sorting method, wherein the container threshold value control requirements comprise the following parameters: one or more of weight, volume and quantity.
The multiple packaging combination density balance sorting method provided by the invention is characterized in that the set selection rule comprises one or more of maximum density, minimum weight, minimum volume and density close to the container loading density.
The invention discloses a method for sorting various packages in a combining density balance manner, wherein the second step further comprises the following steps: and entering the third step after all the set selection rules are executed.
The invention relates to a multi-packaging merging density balance sorting method, wherein in the first step, the cargo density calculation method comprises the following steps: cargo density is cargo weight/(length of cargo width of cargo height).
The multi-packaging merging density balance sorting system is used for realizing the multi-packaging merging density balance sorting method and is characterized by comprising a data acquisition module, a data processing module and a data output module;
the data acquisition module is used for acquiring weight data and volume data of each cargo to be sorted, calculating cargo density and sequencing the cargos according to the cargo density;
the data processing module is used for selecting different preferred cargos according to a set selection rule, generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo, and screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of cargos in a final loading container of the sorting schemes or the minimum total freight cost of the cargos as a standard;
and the data output module is used for outputting the final sorting scheme.
The invention relates to a multi-packaging merging density balance sorting system, wherein the implementation method of the density sorting algorithm comprises the following steps:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating freight, and entering next first goods selection operation.
A multiple package consolidation density balance sorting apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method as described above.
A computer-readable storage medium, in which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the method as set forth above.
The invention has the beneficial effects that: by applying the scheme of the invention, when goods need to be loaded into a specified container, the balanced distribution control can be carried out through density comparison and container loading upper limit control, so that the purpose of reasonable loading is achieved, the density of all the sorted goods is infinitely close to the container loading density, and a reasonable data realization scheme is provided for final loading, thereby greatly improving the loading rationality, improving the resource utilization rate and reducing the cost.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive efforts according to the accompanying drawings:
FIG. 1 is a flow chart of a method for combined density balanced sorting of various packages in accordance with a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a density sorting algorithm for a multiple pack consolidation density balance sorting method according to a preferred embodiment of the present invention;
fig. 3 is a schematic block diagram of a multi-pack consolidation density balance sorting system according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
The method for sorting various packages in a combined density balance manner according to the preferred embodiment of the present invention, as shown in fig. 1, and referring to fig. 2, includes the following steps:
s01: acquiring weight data and volume data of each cargo to be sorted, calculating cargo density, and sequencing the cargos according to the cargo density;
s02: selecting different preferred cargos according to a set selection rule, and generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo;
s03: screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of the cargos in the final loading container of the sorting scheme or the minimum total freight cost of the cargos as a standard;
by applying the scheme of the invention, when goods need to be loaded into a specified container, the balanced distribution control can be carried out through density comparison and container loading upper limit control, so that the purpose of reasonable loading is achieved, the density of all the sorted goods is infinitely close to the container loading density, and a reasonable data realization scheme is provided for final loading, thereby greatly improving the loading rationality, improving the resource utilization rate and reducing the cost.
Preferably, the density sorting algorithm implementation method comprises the following steps:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating the freight and entering the second step.
More specifically, a density sorting algorithm is implemented as follows:
a: sequencing all the remaining cargos except the first-selected cargo according to the cargo density;
b: selecting the goods with the highest density in the sequence, and judging whether the weight and the size of the goods are larger than those of the loading container: if not, adding the sorted goods queue, otherwise, sequentially selecting the goods with the density from large to small, and judging again until the selected goods are added into the sorted goods queue;
c: calculating the total weight and volume of all the goods in the sorted goods queue, judging that the total weight and volume of the goods are larger than the weight and volume of the loading container, if so, rejecting the recently added goods, and returning to the step b to continuously select the goods;
d: comparing the density of all goods in the sorting queue with the container loading density; if the density of all goods in the sorting queue is less than or equal to the container loading density, returning to the step b to continue selecting the goods, and otherwise, allowing the next step;
e: selecting the goods with the minimum density in the sequence, and judging whether the weight and the size of the goods are larger than those of the loading container: if not, adding the sorted goods queue, otherwise, sequentially selecting the goods with the density from small to large, and judging again until the selected goods are added into the sorted goods queue;
f: calculating the total weight and volume of all the goods in the sorting queue, judging that the total weight and volume of the goods are larger than the weight and volume of the loading container, if so, rejecting the recently added goods, returning to the step e to continue selecting the goods, otherwise, executing the step d;
g: after all the goods in the sequence are matched, merging the goods in the sorted goods queue into the same loading container;
the method comprises the steps of selecting a first selected cargo according to conditions, then carrying out density matching calculation distribution on the rest cargos to form a plurality of schemes, and then screening out an optimal scheme according to the number of cargos or freight cost for the plurality of schemes;
an example of the protocol description is as follows:
the goods with the maximum density are used as the first-choice goods, and the remaining goods are sorted according to a density sorting algorithm, so that a first scheme is formed; the goods with the minimum density are used as the first-choice goods, and the remaining goods are sorted according to a density sorting algorithm, so that a scheme two is formed; the goods with the minimum weight are used as the first-choice goods, and the remaining goods are sorted according to a density sorting algorithm, so that a third scheme is formed; the goods with the minimum volume are used as the first-choice goods, and the remaining goods are sorted according to a density sorting algorithm, so that a fourth scheme is formed; then selecting the scheme with the lowest cost from the four schemes as the final sorting scheme;
preferably, the density sorting algorithm further comprises the method of:
h: if the remaining cargo volume divided by the loaded container volume is less than the set adjustment parameter (e.g., 50%), then the current sort queue assignment is terminated; otherwise, continuing to distribute the new sorting queue until all the goods are distributed; when the goods are insufficient, additional sorting is not needed, and when the goods are sufficient, sorting is continued; the adjusting parameters can be adjusted automatically according to actual needs.
Preferably, the density sorting algorithm further comprises the method of:
i: obtaining a plurality of allocated loading containers, calculating the freight of each loading container according to freight calculation rules, and counting the total freight of the current sorting mode;
facilitating automatic billing.
Preferably, in the second step, the conditions of the selection rule comprise one or more of maximum density, minimum weight, minimum volume and density close to the loading density of the container; of course, it is understood that other conditions may be set as necessary.
Preferably, the cargo density calculation method comprises: cargo density ═ cargo weight/(length of cargo ×) cargo width × (height of cargo);
the calculation method of the container loading density comprises the following steps: container loading density (maximum weight of container allowed to be loaded/(length of container allowed to be loaded) × width of container allowed to be loaded) ×).
A multiple-package merging density balance sorting system, which is used for implementing the multiple-package merging density balance sorting method, as shown in fig. 3, and includes a data acquisition module 1, a data processing module 2 and a data output module 3;
the data acquisition module 1 is used for acquiring weight data and volume data of each cargo to be sorted, calculating cargo density and sequencing the cargos according to the cargo density;
the data processing module 2 is used for selecting different preferred cargos according to a set selection rule, generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo, and screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of cargos in a final loading container of the sorting schemes or the minimum total freight cost of the cargos as a standard;
the data output module 3 is used for outputting the final sorting scheme;
by applying the scheme of the invention, when goods need to be loaded into a specified container, the balanced distribution control can be carried out through density comparison and container loading upper limit control, so that the purpose of reasonable loading is achieved, the density of all the sorted goods is infinitely close to the container loading density, and a reasonable data realization scheme is provided for final loading, thereby greatly improving the loading rationality, improving the resource utilization rate and reducing the cost.
Preferably, the implementation method of the density sorting algorithm comprises the following steps:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating freight, and entering next first goods selection operation.
For a specific mode, reference may be made to the above description, which is not repeated herein;
a multi-pack consolidation density balance sorting apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method as described above.
A computer-readable storage medium, in which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the method as set forth above.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. A density balance sorting method for combining various packages is characterized by comprising the following steps:
the first step is as follows: acquiring weight data and volume data of each cargo to be sorted, calculating cargo density, and sequencing the cargos according to the cargo density;
the second step is that: selecting different preferred cargos according to a set selection rule, and generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo;
the third step: and screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of the cargos in the final loading container of the sorting scheme or the minimum total freight cost of the cargos as a standard.
2. The multi-package merging density balance sorting method according to claim 1, wherein the density sorting algorithm implementation method comprises:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating the freight and entering the second step.
3. The multi-pack consolidation density balance sorting method according to claim 2, wherein the container threshold control requirements include parameters: one or more of weight, volume and quantity.
4. The multi-packing-consolidation density-balancing sorting method according to claim 2, wherein the set selection rules include one or more of maximum density, minimum weight, minimum volume, density close to the container loading density.
5. The multi-pack consolidation density balance sorting method according to claim 4, wherein the second step further comprises the steps of: and entering the third step after all the set selection rules are executed.
6. The multi-packaging merging density balance sorting method according to claim 1, wherein in the first step, the density of the goods is calculated by: cargo density is cargo weight/(length of cargo width of cargo height).
7. The multi-packaging merging density balance sorting system is used for realizing the multi-packaging merging density balance sorting method according to any one of claims 1 to 6, and is characterized by comprising a data acquisition module, a data processing module and a data output module;
the data acquisition module is used for acquiring weight data and volume data of each cargo to be sorted, calculating cargo density and sequencing the cargos according to the cargo density;
the data processing module is used for selecting different preferred cargos according to a set selection rule, generating different sorting schemes according to a set density sorting algorithm under the condition of each preferred cargo, and screening a plurality of sorting schemes to obtain a final sorting scheme by taking the minimum total quantity of cargos in a final loading container of the sorting schemes or the minimum total freight cost of the cargos as a standard;
and the data output module is used for outputting the final sorting scheme.
8. The multiple package consolidation density balance sorting system according to claim 7, wherein the density sorting algorithm is implemented by:
a: adding the goods into a sorting queue, and determining whether set parameters of the sorting queue meet the set container threshold value control requirements or not;
b: if the set parameter is larger than the container threshold value, returning to the previous step, if the set parameter is equal to the container threshold value, entering the step D, and if the set parameter is smaller than the container threshold value, calculating the queue density and entering the next step;
c: if the queue density is less than the container density, selecting the goods with the maximum density from the rest goods and entering the step A; if the queue density is greater than the container density, selecting the goods with the minimum density from the rest goods and entering the step A;
d: and generating a sorting scheme, calculating freight, and entering next first goods selection operation.
9. A multiple package consolidation density balance sorting apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method according to any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN115018567A (en) * | 2022-08-10 | 2022-09-06 | 杭州盘达科技有限公司 | Method for predicting international express delivery freight |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10310258A (en) * | 1997-05-13 | 1998-11-24 | Mitsubishi Heavy Ind Ltd | Cargo arrangement indicating device |
| CN103761635A (en) * | 2014-01-14 | 2014-04-30 | 大连理工大学 | Three-dimensional multi-box specially-structured cargo loading optimizing method |
| CN106372838A (en) * | 2016-08-31 | 2017-02-01 | 珠海港信息技术股份有限公司 | Stock sorting method based on knapsack algorithm |
| CN107578314A (en) * | 2017-09-01 | 2018-01-12 | 洛阳市恒凯网络技术服务有限公司 | A kind of material circulating system for electronic business |
| CN108681841A (en) * | 2018-07-07 | 2018-10-19 | 肥西中宇物流有限责任公司 | A kind of Intelligent logistics allocator |
| CN109784808A (en) * | 2018-12-29 | 2019-05-21 | 山东省产品质量检验研究院 | A kind of instant handling technigue of the vehicles based on prestowage balance |
| CN109948991A (en) * | 2019-04-09 | 2019-06-28 | 深圳蓝胖子机器人有限公司 | A kind of intelligence packing method, equipment and storage medium |
| CN110414888A (en) * | 2019-07-03 | 2019-11-05 | 深圳蓝胖子机器人有限公司 | A kind of intelligence packing method, equipment and storage medium |
| CN111222827A (en) * | 2019-12-31 | 2020-06-02 | 云南电网有限责任公司楚雄供电局 | Goods position management method and device, storage medium and electronic equipment |
| CN111415123A (en) * | 2020-04-07 | 2020-07-14 | 郑州航空工业管理学院 | Cargo accurate loading method and system for multiple loading units on branch cargo aircraft |
| CN111768151A (en) * | 2020-06-28 | 2020-10-13 | 战马物流(苏州)有限公司 | Vehicle loading method and system for loading cargoes |
| CN112815941A (en) * | 2019-11-18 | 2021-05-18 | 北京京邦达贸易有限公司 | Goods picking path planning method, device, equipment and storage medium |
-
2021
- 2021-08-12 CN CN202110923308.3A patent/CN113627795A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10310258A (en) * | 1997-05-13 | 1998-11-24 | Mitsubishi Heavy Ind Ltd | Cargo arrangement indicating device |
| CN103761635A (en) * | 2014-01-14 | 2014-04-30 | 大连理工大学 | Three-dimensional multi-box specially-structured cargo loading optimizing method |
| CN106372838A (en) * | 2016-08-31 | 2017-02-01 | 珠海港信息技术股份有限公司 | Stock sorting method based on knapsack algorithm |
| CN107578314A (en) * | 2017-09-01 | 2018-01-12 | 洛阳市恒凯网络技术服务有限公司 | A kind of material circulating system for electronic business |
| CN108681841A (en) * | 2018-07-07 | 2018-10-19 | 肥西中宇物流有限责任公司 | A kind of Intelligent logistics allocator |
| CN109784808A (en) * | 2018-12-29 | 2019-05-21 | 山东省产品质量检验研究院 | A kind of instant handling technigue of the vehicles based on prestowage balance |
| CN109948991A (en) * | 2019-04-09 | 2019-06-28 | 深圳蓝胖子机器人有限公司 | A kind of intelligence packing method, equipment and storage medium |
| CN110414888A (en) * | 2019-07-03 | 2019-11-05 | 深圳蓝胖子机器人有限公司 | A kind of intelligence packing method, equipment and storage medium |
| CN112815941A (en) * | 2019-11-18 | 2021-05-18 | 北京京邦达贸易有限公司 | Goods picking path planning method, device, equipment and storage medium |
| CN111222827A (en) * | 2019-12-31 | 2020-06-02 | 云南电网有限责任公司楚雄供电局 | Goods position management method and device, storage medium and electronic equipment |
| CN111415123A (en) * | 2020-04-07 | 2020-07-14 | 郑州航空工业管理学院 | Cargo accurate loading method and system for multiple loading units on branch cargo aircraft |
| CN111768151A (en) * | 2020-06-28 | 2020-10-13 | 战马物流(苏州)有限公司 | Vehicle loading method and system for loading cargoes |
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| CN115018567A (en) * | 2022-08-10 | 2022-09-06 | 杭州盘达科技有限公司 | Method for predicting international express delivery freight |
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