CN113177765A - Goods warehousing method, device, equipment, warehousing system and storage medium - Google Patents
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Abstract
The embodiment of the disclosure provides a goods warehousing method, a device, equipment, a warehousing system and a storage medium, wherein the goods warehousing method is applied to the warehousing system comprising a plurality of storage areas, each warehousing area comprises at least one shelf, and the method comprises the following steps: obtaining the heat degree of the goods to be warehoused; according to the heat degree of goods to be warehoused and the regional heat degree of each storage region of the warehousing system, a target region is determined from each storage region so as to store the goods to be warehoused in the free space of the target region, wherein the variance of the regional heat degree corresponding to the storage of the goods to be warehoused in the target region is smaller than or equal to the variance of the corresponding regional heat degree when the goods to be warehoused are stored in other storage regions, the balance of the regional heat degree of each storage region of the warehousing system is achieved through a warehouse location distribution method based on the heat degree, the condition of roadway congestion of the warehousing system is improved to a large extent, and the warehouse location operation efficiency of the warehousing system is improved.
Description
Technical Field
The present disclosure relates to the field of smart storage technologies, and in particular, to a method, an apparatus, a device, a storage system, and a storage medium for storing goods.
Background
The intelligent warehousing system based on the robot adopts an intelligent operating system, automatically takes out and stores containers through system instructions, can continuously run for 24 hours, replaces manual management and operation, improves the warehousing efficiency, and is widely applied and favored.
For warehousing of e-commerce businesses with large storage quantity and frequent movement and sale, in the prior art, goods of the same type are often intensively placed in a shelf or an area, so that the warehouse of the warehousing system is divided into areas with higher heat and lower heat. When a large amount of goods need to be placed in a high-heat area for delivery, the situation that the roadway of the area is crowded is often caused, so that the operation efficiency of the robot is reduced, and the efficiency of goods delivery operation is affected.
Disclosure of Invention
The invention provides a goods warehousing method, a goods warehousing device, goods warehousing equipment, a goods warehousing system and a storage medium, which realize a goods warehousing method with balanced regional heat, avoid the condition that a roadway of the warehousing system is blocked and improve the overall efficiency of goods warehousing.
In a first aspect, an embodiment of the present disclosure provides a method for warehousing goods, where the method is applied to a warehousing system, the warehousing system includes a plurality of storage areas, each warehousing area includes at least one shelf, and the method includes:
determining the heat degree of goods to be warehoused; and determining a target area from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system so as to store the goods to be warehoused in the free space of the target area, wherein the variance of the area heat corresponding to the goods to be warehoused stored in the target area is less than or equal to the variance of the area heat corresponding to the goods to be warehoused stored in other storage areas.
Optionally, determining a target area from each storage area according to the heat of the goods to be warehoused and the heat of the area of each storage area, includes:
judging whether the goods to be warehoused are good-selling goods or not according to the goods heat degree of the goods to be warehoused; and if so, determining the storage area with the minimum area heat as the target area.
Optionally, determining a target area from each storage area according to the heat of the goods to be warehoused and the heat of the area of each storage area, includes:
calculating a first difference value between the area heat of each storage area and each other storage area, and calculating a second difference value between the area heat of each storage area and the area heat of each other storage area after the goods to be warehoused are stored in the storage areas; selecting one of the storage areas in which the sum of the absolute values of the second differences is smaller than the sum of the absolute values of the first differences as the target area.
Optionally, selecting one storage area from the storage areas in which the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference as the target area, includes:
calculating a third difference value of the sum of the respective first difference values and the sum of the respective second difference values for each storage region in which the sum of the absolute values of the second difference values is smaller than the sum of the absolute values of the first difference values; and determining the storage area with the maximum third difference value as the target area.
Optionally, determining a target area from each storage area according to the heat of the goods to be warehoused and the heat of the area of each storage area, includes:
for each storage area, determining the second area heat of the storage area after the goods to be warehoused are stored in the storage area according to the goods heat of the goods to be warehoused and the area heat of the storage area; calculating a first variance of the region heat according to the second region heat and the region heat of other storage regions; and determining the corresponding storage area with the minimum first variance as the target area.
Optionally, after determining the target area from each of the storage areas, the method includes:
acquiring the shelf heat of each shelf in the target area; and determining a target shelf from the shelves according to the shelf heat of each shelf in the target area and the lane corresponding to the shelf so as to store the goods to be warehoused in the free space on the target shelf.
Optionally, after determining the target area from each of the storage areas, the method further includes:
and determining the storage position of the goods to be warehoused according to each free space of the target area.
Optionally, determining the storage location of the goods to be warehoused according to each free space of the target area, including:
and determining the storage position of the goods to be warehoused according to the space position of each free space of the target area.
Optionally, determining the storage location of the goods to be warehoused according to the spatial position of each free space of the target area, including:
determining the space fraction of each free space according to the space position of each free space of the target area; and determining the free space with the space fraction matched with the goods heat degree of the goods to be warehoused, wherein the free space is the warehouse location of the goods to be warehoused.
Optionally, determining the heat of the goods to be warehoused includes:
determining the initial heat degree of the goods to be warehoused according to the historical sales volume of the goods to be warehoused; determining the predicted sales volume of the goods to be warehoused according to the festival type or season corresponding to the current time; and determining the goods heat of the goods to be warehoused according to the initial heat and the predicted sales volume.
Optionally, the area heat of the storage area is an average value of the goods heat of each goods stored in the storage area.
In a second aspect, the present disclosure also provides a goods warehousing device, where the device is applied to a warehousing system, the warehousing system includes a plurality of storage areas, each storage area includes at least one shelf, and the device includes:
the goods heat determining module is used for determining the goods heat of goods to be warehoused; and the goods warehousing module is used for determining a target area from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system so as to store the goods to be warehoused in the free space of the target area, wherein the variance of the area heat corresponding to the goods to be warehoused stored in the target area is smaller than or equal to the variance of the area heat corresponding to the goods to be warehoused stored in other storage areas.
In a third aspect, an embodiment of the present disclosure further provides a cargo warehousing device, including: a memory and at least one processor; the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the cargo warehousing method provided by any embodiment corresponding to the first aspect of the present disclosure.
In a fourth aspect, an embodiment of the present disclosure further provides a warehousing system, including a plurality of storage areas, a robot, and the goods warehousing device provided by the embodiment corresponding to the third aspect of the present disclosure, where each warehousing area includes at least one shelf.
In a fifth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, where a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, a cargo warehousing method provided in any embodiment corresponding to the first aspect of the present disclosure is implemented.
In a sixth aspect, an embodiment of the present disclosure further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the cargo warehousing method provided in any embodiment corresponding to the first aspect of the present disclosure is implemented.
The goods warehousing method, the device, the equipment, the warehousing system and the storage medium provided by the embodiment of the disclosure aim at the warehousing system comprising a plurality of storage areas, when goods to be warehoused need to be warehoused, a target area is determined from each storage area based on the heat degree of the goods to be warehoused and the area heat degree of each storage area, so that the goods to be warehoused are stored on the free space of the target area to complete the warehousing task of the goods to be warehoused, and the heat degree of each storage area of the warehousing system is balanced by storing the goods to be warehoused in the target area, namely the cold and the heat are uniformly distributed, the condition that the heat degree of each storage area is too high or too low is avoided, so that when the warehousing system performs the warehouse-out task of a large number of mass goods which are sold, the condition that the goods which need to be warehoused are concentrated in one storage area to cause the roadway congestion of the storage area is avoided, the efficiency of goods delivery is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is an application scenario diagram of a cargo warehousing method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a cargo warehousing method according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of step S202 in the embodiment of FIG. 2 according to the present disclosure;
fig. 4 is a flowchart of a cargo warehousing method according to another embodiment of the disclosure;
fig. 5 is a flowchart of a cargo warehousing method according to another embodiment of the disclosure;
fig. 6 is a schematic structural diagram of a cargo warehousing device according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a cargo warehousing device according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a warehousing system according to an embodiment of the present disclosure.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The following describes the technical solutions of the present disclosure and how to solve the above technical problems in specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present disclosure will be described below with reference to the accompanying drawings.
The following explains an application scenario of the embodiment of the present disclosure:
fig. 1 is an application scenario diagram of a cargo warehousing method provided by an embodiment of the present disclosure, and as shown in fig. 1, the cargo warehousing method provided by the embodiment of the present disclosure may be executed by a cargo warehousing device, which may be a scheduling device of a warehousing system, and may be in the form of a computer or a server. When the warehousing system receives the goods warehousing order, the scheduling device 110 needs to allocate a warehouse location for each goods to be warehoused based on the goods warehousing order. In order to facilitate the management of the goods, generally, based on the heat level, the warehouse of the warehousing system is divided into a plurality of storage areas, each storage area may include one or more shelves, in fig. 1, two storage areas are divided, that is, a high-heat storage area 121 and a low-heat storage area 122, in which the high-heat storage area 121 is used for storing goods to be warehoused with high heat level, and the low-heat storage area 122 is used for storing goods to be warehoused with low heat level. Therefore, when allocating storage locations for goods to be warehoused, a storage area matched with the heat of the goods to be warehoused is often selected for storage. That is, the goods to be warehoused with high heat are stored in the high heat storage area 121, and the goods to be warehoused with low heat are stored in the low heat storage area 122.
By adopting the warehousing mode, when a warehousing system needs to warehouse out a large amount of high-heat goods, the goods are often intensively placed in the high-heat storage area 121, and when a large amount of robots 130 come and go to the high-heat storage area 121, the roadway in the high-heat storage area 121 is easy to jam, so that the goods warehouse-out efficiency is low, and the demands cannot be met.
In order to improve the efficiency of goods delivery, the embodiment of the disclosure provides a goods warehousing method, and the method mainly comprises the following steps: the storage areas of the goods to be warehoused are determined based on the goods heat of the goods to be warehoused and the area heat of each storage area, the area heat of each storage area is balanced, and therefore when the warehousing system needs to warehouse a large number of goods with high goods heat, the goods to be warehoused are uniformly distributed in each storage area of the warehouse as far as possible, the situation that the local storage areas are blocked is avoided, and the goods warehouse-out efficiency is improved.
Fig. 2 is a flowchart of a cargo warehousing method according to an embodiment of the present disclosure, and as shown in fig. 2, the cargo warehousing method is applicable to a warehousing system and can be executed by a cargo warehousing device. The goods warehousing method provided by the embodiment comprises the following steps:
step S201, determining the heat degree of the goods to be warehoused.
The goods heat is used for describing the frequency of goods or the goods of the same type to be delivered from the warehouse, and the higher the frequency of delivery from the warehouse is, the higher the goods heat is.
Specifically, the heat of each item to be warehoused may be input by a customer or an operator of the warehousing system, for example, the heat of each item to be warehoused may be input through an order device.
Specifically, the heat degree of the goods to be warehoused can be determined according to historical warehouse-in and warehouse-out data of the goods to be warehoused.
Further, the dispatching frequency of the goods to be warehoused can be determined according to the historical warehousing-in and warehousing-out data of the goods to be warehoused, and the goods heat degree of the goods to be warehoused is determined based on the dispatching frequency. The dispatching frequency is used for describing the times of the goods to be warehoused out of the warehouse and the times of the goods to be warehoused in the warehouse in unit time, and the goods heat degree and the dispatching frequency are in positive correlation.
Specifically, when the goods to be warehoused are the containers to be warehoused, various goods can be stored in the containers to be warehoused, and the goods heat of the goods to be warehoused can be determined according to the goods heat of each kind of goods. If the maximum value, the average value, the weighted average value, the median value, the minimum value or other statistical values of the heat degree of the goods can be determined, the heat degree of the goods to be warehoused is determined.
Specifically, when a warehousing order is received, each goods to be warehoused and the heat degree of the goods can be determined based on the warehousing order.
For example, the heat of the cargo may be described in percentage, such as 80.
Step S202, determining target areas from the storage areas according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system, and storing the goods to be warehoused in the free space of the target areas.
And storing the goods to be warehoused in the target area, wherein the variance of the corresponding area heat is smaller than or equal to that of the corresponding area heat stored in other storage areas. The region heat is used for describing the heat distribution condition of each cargo currently stored in the storage region, and the region heat can be determined by the cargo heat of each cargo currently stored in the storage system.
Specifically, the scheduling device of the warehousing system can record and update the area heat of each storage area in real time.
Specifically, after the heat of the goods to be warehoused is obtained, the latest regional heat of each storage region can be obtained, and then a target region is determined from the storage regions based on the regional heat of each storage region and the heat of the goods to be warehoused, so that after the goods to be warehoused are stored in the target region, the regional heat of each storage region in the warehousing system is equalized, even if the regional heat of each storage region is as close as possible.
For example, taking the warehousing system including 3 storage areas as an example, the area heat of the storage area a1 is 85, the area heat of the storage area a2 is 80, the area heat of the storage area A3 is 82, and the goods heat to be warehoused is 88, then the target area is determined to be the storage area a2, so that the area heat of the storage area a2 is increased, and the deviation of the area heat of each storage area is reduced.
Optionally, the area heat of the storage area is an average value of the goods heat of each goods stored in the storage area.
Optionally, determining a target area from each storage area according to the heat of the goods to be warehoused and the heat of the area of each storage area, includes:
judging whether the goods to be warehoused are good-selling goods or not according to the goods heat degree of the goods to be warehoused; and if so, determining the storage area with the minimum area heat as the target area.
Specifically, whether the heat degree of the goods to be warehoused is greater than a preset heat degree threshold value or not can be judged, and if yes, the goods to be warehoused is determined to be the good-selling goods.
The preset heat threshold may be a default value, or may be a maximum value of the heat of the goods corresponding to the goods currently stored in the warehousing system, or may be a maximum value of the heat of the area in each storage area of the warehousing system.
Specifically, when the heat degree of the goods to be warehoused is high, namely the goods to be warehoused are mass-market goods, the storage area with the minimum area heat degree is directly determined as the target area. If a plurality of storage areas with the smallest area heat exist, the storage area with the smallest area heat, which is closer to the target area, is determined as the target area further based on the positions of the storage areas.
Optionally, fig. 3 is a flowchart of step S202 in the embodiment shown in fig. 2 of the present disclosure, and as shown in fig. 2, step S202 may include the following steps:
step S2021, for each storage area, calculates a first difference of the area heat of the storage area and each other storage area.
Illustratively, the first difference d between the ith and jth memory regionsijThe expression of (a) is: dij＝Di-DjWherein D isiIs the region heat of the i-th storage region, DjIs the zone heat of the jth storage zone.
Step S2022, calculating a second difference between the area heat of the storage area and the area heat of each other storage area after the goods to be warehoused are stored in the storage area.
Specifically, the second difference is a difference between the area heat of the storage area and the area heat of each of the other storage areas after the goods to be warehoused are assumed to be stored in the storage area.
Illustratively, after goods to be warehoused are stored in the ith storage area, the area heat of the ith storage area is D'iAnd a second difference value d 'from the jth memory region'ijThe expression of (a) is: d'ij＝D′i-Dj。
Step S2023, selecting one storage area from the storage areas in which the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference as the target area.
Specifically, if the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference, it means that after the goods to be warehoused are placed in the corresponding storage areas, the overall deviation of the area heat of each storage area of the warehousing system is reduced, so that the goods to be stored can be stored in the storage areas where the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference, and the area heat of the storage areas of the warehousing system is equalized.
Specifically, the storage area in which the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference may be determined as the optional storage area, and then the closest optional storage area may be determined as the target area, or the optional storage area with the lowest space occupancy rate may be determined as the target area.
Optionally, selecting one storage area from the storage areas in which the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference as the target area, includes:
calculating a third difference value of the sum of the respective first difference values and the sum of the respective second difference values for each storage region in which the sum of the absolute values of the second difference values is smaller than the sum of the absolute values of the first difference values; and determining the storage area with the maximum third difference value as the target area.
Specifically, the storage area with the largest third difference value is selected as the target area, and the regional heat of each storage area of the warehousing system can be equalized to the greatest extent, so that the condition that local roadways are blocked in the warehousing area is effectively avoided, the transportation efficiency of the robot is improved, and the goods delivery efficiency is improved.
Further, if a storage area without the free space exists, the storage area is set as a warehousing-prohibited area, so that goods to be warehoused are prohibited from being stored in the storage area until one or more goods in the storage area are taken out, and the free space exists.
The goods warehousing method provided by the embodiment of the disclosure aims at the warehousing system comprising a plurality of storage areas, when goods to be warehoused need to be warehoused, target areas are determined from the storage areas based on the heat of the goods to be warehoused and the area heat of each storage area, thereby storing the goods to be warehoused to the free space of the target area, completing the warehousing task of the goods to be warehoused, and the heat of each storage area of the warehousing system is equalized by storing the goods to be warehoused in the target area, the cold and hot evenly distributed avoids the condition that the heat of individual storage areas is too high or too low, so that the warehousing system carries out a large number of warehouse-out tasks of mass good goods, the condition that the goods needing warehouse-out are concentrated in one storage area to cause the blocking of the roadway of the storage area is avoided, and the efficiency of goods warehouse-out is improved.
Fig. 4 is a flowchart of a cargo warehousing method according to another embodiment of the present disclosure, in which the cargo warehousing method according to this embodiment is further refined in step S201 and step S202 on the basis of the embodiment shown in fig. 2, and a step of determining a warehouse location is added after step S202, as shown in fig. 4, the cargo warehousing method according to this embodiment includes the following steps:
step S401, determining the initial heat of the goods to be warehoused according to the historical sales volume of the goods to be warehoused.
The historical sales amount can be determined by the ex-warehouse data of the goods to be warehoused in the historical time counted by the order receiving equipment. The initial heat may be positively correlated with the historical sales.
Specifically, the initial heat degree of the goods to be warehoused may be determined based on the first corresponding relationship and the historical sales volume of the goods to be warehoused. The first corresponding relation is used for describing the corresponding relation between each historical sales and the initial heat degree.
And S402, determining the predicted sales volume of the goods to be warehoused according to the festival type or season corresponding to the current time.
The holiday type can be determined according to the holiday type corresponding to the current time.
Specifically, the predicted sales amount of the goods to be warehoused in the preset time period can be determined according to the type of the goods to be warehoused and the festival type or season corresponding to the current time.
Further, the predicted sales amount of the goods to be warehoused can be determined according to the festival type or season corresponding to the current time and the historical sales amount of the goods to be warehoused in the time period corresponding to the festival type or season in the past year.
Further, the sales increase corresponding relation can be determined according to the historical sales of the goods to be warehoused in the time period corresponding to the type of the holiday or the season in the past year; and then determining the predicted sales of the goods to be warehoused in the time period corresponding to the festival type or season based on the sales increase corresponding relation.
For example, if the festival type corresponding to the current time is a sweet-moon festival type, if the current time is in the first ten to fifteen of the normal month, and the goods to be warehoused is a sweet-moon festival, the predicted sales of the goods to be warehoused in the current year in the time period are determined by combining the historical sales of the goods to be warehoused in the past year in the time period (the first ten to fifteen of the normal month).
For example, if the season corresponding to the current time is summer and the summer clothing of the goods to be warehoused is taken as the summer clothing, the predicted sales of the goods to be warehoused in the summer of the current year is determined by combining the historical sales corresponding to the summer clothing in the summer of the past year.
And S403, determining the goods heat of the goods to be warehoused according to the initial heat and the predicted sales volume.
Specifically, a second corresponding relationship among the heat of the goods, the initial heat and the predicted sales may be established in advance, and the heat of the goods to be warehoused may be determined according to the second corresponding relationship, the initial heat and the predicted sales corresponding to the goods to be warehoused.
Specifically, the second correspondence relationship may be:
h1＝a×h0+sp/b
wherein h is1The heat of the goods to be warehoused is obtained; h is0The initial heat of the goods to be warehoused is obtained; spThe predicted sales volume of goods to be warehoused is obtained; a. b is a known constant, and spThe value range of/b is positive number between (0, 100).
In step S404, the area heat of each storage area is acquired.
Specifically, the area heat of each storage area may be determined according to the cargo heat of each cargo stored in each storage area.
Further, the zone heat may be an average of the heat of the goods of each goods stored on the storage zone.
Specifically, the region heat D of the i-th storage regioniThe calculated relationship of (a) may be:
wherein h isikHeat of cargo for k-th cargo stored on i-th storage area(ii) a n is the total number of goods stored in the ith storage area.
Step S405, determining a second region heat degree of the storage region after the goods to be warehoused are stored in the storage region according to the goods heat degree of the goods to be warehoused and the region heat degree of the storage region aiming at each storage region.
The second area heat is a new area heat of the storage area after the goods to be warehoused are assumed to be stored in the storage area.
Specifically, the second area heat of the storage area after the assumed goods to be warehoused are stored in the storage area may be determined according to the area heat before the storage area, the number of stored goods, and the goods heat of the goods to be warehoused.
Specifically, the calculation relation of the second region heat of the ith storage region may be:
wherein D isi2A second region heat for the ith storage region; h is1The heat of the goods to be warehoused is obtained; diThe area heat of the ith storage area; n is the total number of goods stored in the ith storage area.
Step S406, calculating a first variance of the region heat according to the second region heat and the region heat of each of the other storage regions.
Step S407, determining the corresponding storage area with the smallest first variance as the target area.
Specifically, the storage area with the smallest first variance is determined as the target area, so that the deviation of the area heat of each storage area of the storage system can be reduced to the greatest extent, that is, the area heat of each storage area of the storage system can be equalized to the greatest extent.
Step S408, determining the storage position of the goods to be warehoused according to each free space of the target area, so as to store the goods to be warehoused on the storage position.
Specifically, after the target area is determined, the storage space for storing the goods to be warehoused can be determined according to each free space on the target area.
Specifically, the free space meeting the storage condition of the goods to be warehoused can be determined as the warehouse location of the goods to be warehoused according to the space size of each free space of the target area.
Specifically, the space utilization rate of each shelf can be determined according to each free space corresponding to each shelf in the target area, the target shelf is further determined based on the space utilization rate of the shelf, and the storage position of the goods to be warehoused is determined according to the space size or the space position of each free space on the target shelf.
Optionally, determining the storage location of the goods to be warehoused according to each free space of the target area, including:
and determining the storage position of the goods to be warehoused according to the space position of each free space of the target area.
Specifically, the free space of the target area with the space position closest to the goods to be warehoused can be determined as the warehouse position of the goods to be warehoused.
Specifically, the free space with the space position on the target area closest to the corresponding gateway of the roadway can be determined as the storage position of the goods to be warehoused.
Optionally, determining the storage location of the goods to be warehoused according to the spatial position of each free space of the target area, including:
determining the space fraction of each free space according to the space position of each free space of the target area; and determining the free space with the space fraction matched with the goods heat degree of the goods to be warehoused, wherein the free space is the warehouse location of the goods to be warehoused.
Specifically, the number of shelf layers where the empty space is located, a first distance between the empty space and an entrance and exit of a corresponding tunnel, and a second distance between the empty space and the entrance and exit of the tunnel corresponding to the empty space can be determined according to the spatial position of the empty space on the corresponding shelf, and then the space fraction of the empty space is determined according to the number of shelf layers, the first distance, and the second distance corresponding to the empty space.
Wherein, the smaller the first distance and the smaller the second distance, the higher the spatial score.
Specifically, the correspondence between the number of shelf layers and the space fraction may be determined according to a default position of the pick-and-place device of the robot, and the closer the number of shelf layers and the height of the default position of the pick-and-place device are, the higher the space fraction of the empty space is.
Specifically, the space score is matched with the heat degree of the goods, and the space score of the corresponding storage space or storage space is higher when the heat degree of the goods is higher.
Specifically, the matching of the space score and the heat degree of the goods may be that the difference between the space score and the heat degree of the goods is the smallest.
For example, assuming that 5 free spaces exist in the target area, the space scores are 85, 76, 56, 92 and 78 in sequence, and the heat of the goods to be warehoused is 80, it may be determined that the free space with the space score of 78 is the storage location of the goods to be warehoused.
In this embodiment, a second region heat of the storage space after the goods to be warehoused are supposed to be stored in each storage space is calculated based on the goods heat of the goods to be warehoused, and then a first variance of the region heat is calculated based on the second region heat of the storage space and the region heat of each other region heat, a storage region with the smallest corresponding first variance is determined as a target region, and the region heat of each storage region is equalized to the greatest extent; and then, determining the storage position of the goods to be warehoused based on each free space on the target area so as to store the goods to be stored in the storage position, thereby realizing warehousing of the goods to be warehoused. Through the goods warehousing mode, the regional heat of each storage region of the warehouse of the warehousing system is balanced, so that the condition that the local region heat is too high is avoided, the condition that the roadway of the warehousing system is blocked is effectively reduced, and the goods warehousing-out efficiency is improved.
Fig. 5 is a flowchart of a cargo warehousing method according to another embodiment of the present disclosure, in which the cargo warehousing method according to this embodiment is based on the embodiment shown in fig. 2, and a step of determining a target shelf and a warehouse location is added after step S202, as shown in fig. 5, the cargo warehousing method according to this embodiment includes the following steps:
step S501, determining the goods heat of goods to be warehoused and the area heat of each storage area.
Step S502, determining target areas from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system.
Step S503, the shelf heat of each shelf in the target area is obtained.
The shelf heat may be an average of the heat of each item stored on the shelf.
And step S504, determining a target shelf from the shelves according to the shelf heat of each shelf in the target area and the lane corresponding to the shelf.
Specifically, each lane may correspond to two shelves, so that the target shelf may be determined according to shelf heat of two shelves corresponding to each lane in the target area.
Furthermore, the heat degree of the roadway can be determined according to the heat degree of the shelves corresponding to each roadway in the target area, the target roadway is determined according to the heat degree of the roadway and the heat degree of the goods to be warehoused, and then any shelf corresponding to the target roadway is determined as the target goods.
Specifically, the average value of the shelf heat of the two shelves corresponding to the tunnel can be determined as the tunnel heat of the tunnel.
Specifically, according to the heat degree of the roadway and the heat degree of the goods to be warehoused, the target roadway is determined, which may include:
if the goods to be warehoused are the good-selling goods, the goods heat of the goods to be warehoused is higher than a preset heat threshold value; determining the roadway with the lowest roadway heat as the target roadway.
Specifically, the mode of determining the target roadway and the mode type of determining the target area can be realized by only replacing the area heat of the parameter to be the roadway heat and replacing the object from each storage area to each roadway, so that the roadway heat of each roadway in the target area is equalized, and the roadway is prevented from being blocked.
And step S505, determining the space fraction of each free space according to the space position of each free space of the target shelf.
Specifically, the way of calculating the space fraction of the free space of the target shelf is the same as the way of calculating the space fraction of the free space of the target area, and details thereof are not repeated herein.
Step S506, determining the free space with the space fraction matched with the goods heat degree of the goods to be warehoused, and taking the free space as the warehouse location of the goods to be warehoused.
In the embodiment, a target area for storing goods to be warehoused is determined by aiming at the area heat degree equalization, and then the target shelf for storing the goods to be warehoused is determined based on the shelf heat degree of each shelf in the target area and the corresponding tunnel of the shelf, so that the equalization of the tunnel heat degree of each tunnel in the warehousing system is further improved, and the goods warehouse-out efficiency is further improved; and determining the free space matched with the heat degree of the goods to be warehoused as the warehouse location of the goods to be warehoused based on the space fraction of each free space on the target shelf, so that the goods to be warehoused are stored in the warehouse location, the mode of warehousing the goods with the finer granularity and the balanced heat degree is realized, the possibility of blocking a tunnel of a warehousing system is further reduced, and the efficiency of delivering the goods out of the warehouse is improved.
Fig. 6 is a schematic structural diagram of a cargo warehousing device according to an embodiment of the present disclosure, where as shown in fig. 6, the device is applied to a warehousing system, the warehousing system includes a plurality of storage areas, each of which includes at least one shelf, and the device includes: a goods heat determination module 610 and a goods warehousing module 620.
The cargo heat determining module 610 is configured to determine a cargo heat of a cargo to be warehoused; and the goods warehousing module 620 is configured to determine a target area from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system, so as to store the goods to be warehoused in the free space of the target area, where a variance of the area heat corresponding to the storage of the goods to be warehoused in the target area is less than or equal to a variance of the area heat corresponding to the storage in other storage areas.
Optionally, the cargo warehousing module 620 is specifically configured to:
judging whether the goods to be warehoused are good-selling goods or not according to the goods heat degree of the goods to be warehoused; and if so, determining the storage area with the minimum area heat as the target area so as to store the goods to be warehoused in the free space of the target area.
Optionally, the cargo warehousing module 620 includes:
the difference value calculation unit is used for calculating a first difference value between the area heat degrees of the storage areas and other storage areas and calculating a second difference value between the area heat degrees of the storage areas and other storage areas after the goods to be warehoused are stored in the storage areas; a target area determination unit configured to select one storage area as the target area from storage areas in which a sum of absolute values of the second difference is smaller than a sum of absolute values of the first difference.
Optionally, the target area determining unit is specifically configured to:
calculating a third difference value of the sum of the respective first difference values and the sum of the respective second difference values for each storage region in which the sum of the absolute values of the second difference values is smaller than the sum of the absolute values of the first difference values; and determining the storage area with the maximum third difference value as the target area.
Optionally, the cargo warehousing module 620 is specifically configured to:
for each storage area, determining the second area heat of the storage area after the goods to be warehoused are stored in the storage area according to the goods heat of the goods to be warehoused and the area heat of the storage area; calculating a first variance of the region heat according to the second region heat and the region heat of other storage regions; and determining the corresponding storage area with the minimum first variance as the target area.
Optionally, the apparatus includes:
the shelf heat acquisition module is used for acquiring the shelf heat of each shelf in the target area after the target area is determined from each storage area; and the target goods determining module is used for determining a target goods shelf from the goods shelves according to the shelf heat of each goods shelf in the target area and the lane corresponding to the goods shelf so as to store the goods to be warehoused in the free space on the target goods shelf.
Optionally, the apparatus further comprises:
and the storage position determining module is used for determining the storage positions of the goods to be warehoused according to each free space of the target area after the target area is determined from each storage area.
Optionally, the library position determining module is specifically configured to:
and determining the storage position of the goods to be warehoused according to the space position of each free space of the target area.
Optionally, the library position determining module is specifically configured to:
determining the space fraction of each free space according to the space position of each free space of the target area; and determining the free space with the space fraction matched with the goods heat degree of the goods to be warehoused, wherein the free space is the warehouse location of the goods to be warehoused.
Optionally, the cargo heat determination module 610 is specifically configured to:
determining the initial heat degree of the goods to be warehoused according to the historical sales volume of the goods to be warehoused; determining the predicted sales volume of the goods to be warehoused according to the festival type or season corresponding to the current time; and determining the goods heat of the goods to be warehoused according to the initial heat and the predicted sales volume.
The goods warehousing device provided by the embodiment of the disclosure can execute the goods warehousing method provided by any embodiment of the disclosure, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 7 is a schematic structural diagram of a cargo warehousing device according to an embodiment of the present disclosure, and as shown in fig. 7, the cargo warehousing device includes: memory 710, processor 720, and computer programs.
The computer program is stored in the memory 710 and configured to be executed by the processor 720 to implement the cargo warehousing method provided by any embodiment corresponding to fig. 2 to 5 in the present disclosure.
Wherein the memory 710 and the processor 720 are connected by a bus 730.
The related description may be understood by referring to the related description and effect corresponding to the steps in fig. 2 to fig. 5, and redundant description is not repeated here.
Fig. 8 is a schematic structural diagram of a warehousing system according to an embodiment of the present disclosure, and as shown in fig. 8, the warehousing system includes: a plurality of storage areas 810, a robot 820, and a goods warehousing device 830.
The goods warehousing device 830 is the goods warehousing device provided by the embodiment shown in fig. 7 of the present disclosure. Each storage area 810 may include one or more shelves 811 for storage of goods.
In some embodiments, the warehouse 810 also includes a ground-based common area, which may be an area for goods sorting, ex-warehouse, etc.
In some embodiments, the warehousing system further includes a console, unloader, elevator, transfer line, and the like.
One embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement a cargo warehousing method provided in any one embodiment of fig. 2 to fig. 5 of the present disclosure.
The computer readable storage medium may be, among others, ROM, Random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
The present disclosure also provides a program product comprising an executable computer program stored in a readable storage medium. The at least one processor of the goods warehousing device or the warehousing system may read the computer program from the readable storage medium, and the at least one processor executes the computer program to make the goods warehousing device implement the goods warehousing method provided by the above various embodiments.
In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present disclosure may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (english: processor) to execute some steps of the methods according to the embodiments of the present disclosure.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present disclosure may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (enhanced Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present disclosure are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; while the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (16)
1. A method for warehousing goods, wherein the method is applied to a warehousing system comprising a plurality of storage areas, each warehousing area comprising at least one shelf, the method comprising:
determining the heat degree of goods to be warehoused;
and determining a target area from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system so as to store the goods to be warehoused in the free space of the target area, wherein the variance of the area heat corresponding to the goods to be warehoused stored in the target area is less than or equal to the variance of the area heat corresponding to the goods to be warehoused stored in other storage areas.
2. The method of claim 1, wherein determining a target area from each of the storage areas according to the heat of the goods to be warehoused and the heat of the area of each of the storage areas comprises:
judging whether the goods to be warehoused are good-selling goods or not according to the goods heat degree of the goods to be warehoused;
and if so, determining the storage area with the minimum area heat as the target area.
3. The method of claim 1, wherein determining a target area from each of the storage areas according to the heat of the goods to be warehoused and the heat of the area of each of the storage areas comprises:
calculating a first difference value between the area heat of each storage area and each other storage area, and calculating a second difference value between the area heat of each storage area and the area heat of each other storage area after the goods to be warehoused are stored in the storage areas;
selecting one of the storage areas in which the sum of the absolute values of the second differences is smaller than the sum of the absolute values of the first differences as the target area.
4. The method according to claim 3, wherein selecting one of the storage areas in which the sum of the absolute values of the second difference is smaller than the sum of the absolute values of the first difference as the target area comprises:
calculating a third difference value of the sum of the respective first difference values and the sum of the respective second difference values for each storage region in which the sum of the absolute values of the second difference values is smaller than the sum of the absolute values of the first difference values;
and determining the storage area with the maximum third difference value as the target area.
5. The method of claim 1, wherein determining a target area from each of the storage areas according to the heat of the goods to be warehoused and the heat of the area of each of the storage areas comprises:
for each storage area, determining the second area heat of the storage area after the goods to be warehoused are stored in the storage area according to the goods heat of the goods to be warehoused and the area heat of the storage area;
calculating a first variance of the region heat according to the second region heat and the region heat of other storage regions;
and determining the corresponding storage area with the minimum first variance as the target area.
6. The method of claim 1, wherein after determining a target region from each of the storage regions, the method comprises:
acquiring the shelf heat of each shelf in the target area;
and determining a target shelf from the shelves according to the shelf heat of each shelf in the target area and the lane corresponding to the shelf so as to store the goods to be warehoused in the free space on the target shelf.
7. The method of any of claims 1-6, wherein after determining a target region from each of the storage regions, the method further comprises:
and determining the storage position of the goods to be warehoused according to each free space of the target area.
8. The method according to claim 7, wherein determining the storage location of the goods to be warehoused according to each free space of the target area comprises:
and determining the storage position of the goods to be warehoused according to the space position of each free space of the target area.
9. The method according to claim 8, wherein determining the storage location of the goods to be warehoused according to the spatial position of each free space of the target area comprises:
determining the space fraction of each free space according to the space position of each free space of the target area;
and determining the free space with the space fraction matched with the goods heat degree of the goods to be warehoused, wherein the free space is the warehouse location of the goods to be warehoused.
10. The method according to any one of claims 1 to 6, wherein determining the heat of the goods to be warehoused comprises:
determining the initial heat degree of the goods to be warehoused according to the historical sales volume of the goods to be warehoused;
determining the predicted sales volume of the goods to be warehoused according to the festival type or season corresponding to the current time;
and determining the goods heat of the goods to be warehoused according to the initial heat and the predicted sales volume.
11. The method of any of claims 1-6, wherein the zone heat of the storage zone is an average of the heat of the goods of each good stored in the storage zone.
12. A device for warehousing goods, the device being applied to a warehousing system including a plurality of storage areas, each warehousing area including at least one shelf, the device comprising:
the goods heat determining module is used for determining the goods heat of goods to be warehoused;
and the goods warehousing module is used for determining a target area from each storage area according to the goods heat of the goods to be warehoused and the area heat of each storage area of the warehousing system so as to store the goods to be warehoused in the free space of the target area, wherein the variance of the area heat corresponding to the goods to be warehoused stored in the target area is smaller than or equal to the variance of the area heat corresponding to the goods to be warehoused stored in other storage areas.
13. A cargo warehousing apparatus, comprising:
a memory and at least one processor;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of warehousing goods as recited in any of claims 1-11.
14. A warehousing system, comprising: a plurality of storage areas, robots and the equipment of claim 13, wherein each warehousing area includes at least one shelf.
15. A computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the cargo warehousing method according to any one of claims 1 to 11 is implemented.
16. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method of warehousing goods as recited in any one of claims 1-11.
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| CN115649727A (en) * | 2022-10-26 | 2023-01-31 | 中电投新疆能源化工集团五彩湾发电有限责任公司 | Intelligent warehouse management method and system for multi-scale articles in power plant |
| CN115649727B (en) * | 2022-10-26 | 2024-03-22 | 中电投新疆能源化工集团五彩湾发电有限责任公司 | Power plant multi-scale object intelligent warehouse management method and system |
| CN116573325A (en) * | 2023-06-15 | 2023-08-11 | 广州中联环宇现代物流有限公司 | Intelligent storage grabbing robot, intelligent storage application method and warehouse management system |
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