CN113128870A

CN113128870A - Intelligent storage yard management method and system

Info

Publication number: CN113128870A
Application number: CN202110427592.5A
Authority: CN
Inventors: 徐晓虎; 杨华伟; 陈戈; 杨秋萍; 赵丝嘉
Original assignee: Shenzhen Essex Technology Co ltd
Current assignee: Shenzhen Essex Technology Co ltd
Priority date: 2021-04-16
Filing date: 2021-04-16
Publication date: 2021-07-16
Anticipated expiration: 2041-04-16
Also published as: CN113128870B

Abstract

The invention relates to the technical field of yard management, and discloses an intelligent yard management method and system, wherein the method comprises the following steps: detecting current cargo information corresponding to each cargo type currently stored in a storage yard, and predicting target storage capacity corresponding to each cargo type according to the current cargo information, the first cargo information to be selected and the second cargo information to be selected; respectively searching storage area information corresponding to each cargo type, determining reference storage amount corresponding to each cargo type, and taking the cargo type with the target storage amount larger than the reference storage amount as a target cargo type; the storage area corresponding to the target goods type is dynamically allocated according to the target storage amount and the reference storage amount, so that the storage area corresponding to the target goods type can be dynamically allocated in a mode of predicting the target storage amount, the problem that the goods storage space is insufficient possibly in a management mode of storing fixed goods through a fixed area is solved, and a better goods storage effect is achieved.

Description

Intelligent storage yard management method and system

Technical Field

The invention relates to the technical field of yard management, in particular to an intelligent yard management method and system.

Background

At present, when goods such as containers are stored and controlled in a storage yard, goods confusion is easy to happen, and due to the fact that storage quantities of different types of goods may be different or changed in real time, the situation that goods storage space is insufficient may happen in an existing management mode for storing fixed types of goods through a fixed area.

The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.

Disclosure of Invention

The invention mainly aims to provide an intelligent storage yard management method and system, and aims to solve the technical problem that the storage space of goods is insufficient in a management mode of storing fixed goods through a fixed area in the prior art.

In order to achieve the above object, the present invention provides an intelligent yard management method, which comprises the following steps:

detecting current cargo information respectively corresponding to various cargo types currently stored in a storage yard;

acquiring first to-be-selected goods information corresponding to a first to-be-selected goods to be called into the stock dump and second to-be-selected goods information corresponding to a second to-be-selected goods to be called out of the stock dump within a preset time period;

predicting target storage capacity corresponding to each cargo type according to the current cargo information, the first cargo information to be selected and the second cargo information to be selected;

respectively searching storage area information corresponding to each cargo type, and determining reference storage capacity corresponding to each cargo type according to the storage area information;

respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount;

taking the goods type with the target storage amount larger than the reference storage amount as a target goods type;

and dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount.

Optionally, the predicting, according to the current goods information, the first goods to be selected information, and the second goods to be selected information, target storage amounts corresponding to the types of the goods respectively includes:

determining the current storage amount corresponding to each cargo type according to the current cargo information;

determining the calling amount corresponding to each cargo type according to the first information of the cargo to be selected, and determining the calling amount corresponding to each cargo type according to the second information of the cargo to be selected;

and predicting target storage amounts corresponding to the types of the cargos according to the current storage amount, the calling amount and the calling amount.

Optionally, the determining, according to the first information of the goods to be selected, the call-in amount corresponding to each type of the goods, and determining, according to the second information of the goods to be selected, the call-out amount corresponding to each type of the goods includes:

determining the type of the called goods and the goods information corresponding to the type of the called goods according to the first information of the goods to be selected;

determining the called goods information corresponding to each goods type according to the goods information corresponding to the called goods type;

determining the calling amount corresponding to each cargo type according to the calling cargo information;

determining a called cargo type of the called cargo and cargo information corresponding to the called cargo type according to the second information of the cargo to be selected;

determining called goods information corresponding to each goods type according to the goods information corresponding to the called goods types;

and determining the transfer amount corresponding to each cargo type according to the information of the transferred cargos.

Optionally, the determining, according to the first information of the to-be-selected goods, a type of the to-be-transferred goods and information of the goods corresponding to the type of the to-be-transferred goods includes:

detecting an information type corresponding to the first to-be-selected item information, and judging whether the information type is a form type;

when the information type is not the table type, extracting character information from the first to-be-selected goods information;

extracting features according to the text information to determine key words contained in the text information;

matching the keywords with type words corresponding to various goods types to determine target type words corresponding to the keywords;

determining the type of the called goods according to the target type words;

and extracting data information corresponding to the keyword from the text information, and determining the cargo information corresponding to the type of the called cargo according to the data information.

Optionally, the determining, according to the data information, the cargo information corresponding to the type of the imported cargo includes:

generating a cargo calling information table according to the data information and the calling cargo information;

sorting the data in the cargo call-in information table according to a preset sorting rule to generate a target call-in information table;

and determining the cargo information corresponding to the type of the imported cargo according to the target calling information table.

Optionally, the performing feature extraction according to the text information to determine a keyword included in the text information includes:

determining an initial text according to the character information;

performing text preprocessing on the initial text to obtain a text to be processed;

and extracting features according to a preset feature extraction model and the text to be processed, and determining key words contained in the character information according to a feature extraction result.

Optionally, the dynamically allocating a storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount includes:

calculating a storage difference value according to the target storage corresponding to the target cargo type and the reference storage;

searching for alternative storage areas corresponding to the storage yard, and searching for alternative area information corresponding to each alternative storage area;

determining the alternative area position of each alternative storage area according to the alternative area information, and searching the target area position corresponding to the storage area corresponding to the target cargo type;

calculating a spacing distance between the target region position and the candidate region position, and comparing the spacing distance with a preset spacing distance threshold;

and when the spacing distance is smaller than or equal to the preset spacing distance threshold, dynamically allocating the storage area corresponding to the target cargo type according to the information of the candidate area.

Optionally, the dynamically allocating the storage area corresponding to the target cargo type according to the candidate area information includes:

determining the alternative storage capacity corresponding to the alternative area according to the alternative area information;

comparing the alternative storage amount with the storage amount difference value;

when the alternative storage amount is greater than or equal to the storage amount difference value, taking the alternative area as a dynamic allocation area;

and dynamically allocating the storage area corresponding to the target cargo type according to the dynamic allocation area.

Optionally, after comparing the candidate storage amount with the storage amount difference, the method further includes:

when the alternative storage amount is smaller than the storage amount difference value, calculating the expected occupancy amount according to the alternative storage amount and the storage amount difference value;

taking a storage area adjacent to the storage area corresponding to the target goods type as a storage area to be selected, and taking the goods type corresponding to the storage area to be selected as a goods type to be selected;

searching a target storage amount and a reference storage amount corresponding to the type of the goods to be selected, and calculating the idle amount to be selected according to the target storage amount and the reference storage amount corresponding to the type of the goods to be selected;

comparing the predicted occupied amount with the idle amount to be selected;

when the predicted occupied amount is smaller than the idle amount to be selected, calculating a predicted occupied space according to the predicted occupied amount;

drawing a storage area expected to be occupied from the storage area to be selected according to the expected occupied space;

and determining a dynamic allocation area according to the expected occupied storage area and the alternative area.

In addition, in order to achieve the above object, the present invention further provides an intelligent yard management system, including:

the information detection module is used for detecting current cargo information corresponding to each cargo type currently stored in the storage yard;

the information acquisition module is used for acquiring first to-be-selected goods information corresponding to a first to-be-selected goods to be called into the storage yard within a preset time period and second to-be-selected goods information corresponding to a second to-be-selected goods to be called out of the storage yard;

the data calculation module is used for predicting target storage amounts corresponding to the types of the goods according to the current goods information, the first goods to be selected information and the second goods to be selected information;

the data searching module is used for respectively searching the storage area information corresponding to each cargo type and determining the reference storage capacity corresponding to each cargo type according to the storage area information;

the data comparison module is used for respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount;

the target determining module is used for taking the goods type with the target storage amount larger than the reference storage amount as a target goods type;

and the area allocation module is used for dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount.

The intelligent storage yard management method provided by the invention detects the current cargo information respectively corresponding to each cargo type currently stored in the storage yard; acquiring first to-be-selected goods information corresponding to a first to-be-selected goods to be called into the stock dump and second to-be-selected goods information corresponding to a second to-be-selected goods to be called out of the stock dump within a preset time period; predicting target storage capacity corresponding to each cargo type according to the current cargo information, the first cargo information to be selected and the second cargo information to be selected; respectively searching storage area information corresponding to each cargo type, and determining reference storage capacity corresponding to each cargo type according to the storage area information; respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount; taking the goods type with the target storage amount larger than the reference storage amount as a target goods type; and dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount, so that the storage area corresponding to the target cargo type can be dynamically allocated in a mode of predicting the target storage amount, the problem that the cargo storage space is insufficient in a management mode of storing fixed-type cargos in a fixed area is solved, and a better cargo storage effect is achieved.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent yard management device of a hardware operating environment according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating a first embodiment of an intelligent yard management method according to the present invention;

FIG. 3 is a flowchart illustrating a second embodiment of the intelligent yard management method according to the present invention;

FIG. 4 is a flowchart illustrating a third embodiment of the intelligent yard management method according to the present invention;

fig. 5 is a functional block diagram of the intelligent yard management system according to the first embodiment of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent yard management device in a hardware operating environment according to an embodiment of the present invention.

As shown in fig. 1, the intelligent yard management apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may comprise a Display screen (Display), an input unit such as keys, and the optional user interface 1003 may also comprise a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a non-volatile Memory (e.g., a magnetic disk Memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.

Those skilled in the art will appreciate that the device architecture shown in fig. 1 does not constitute a limitation of the intelligent yard management device and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.

As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and an intelligent yard management program.

In the intelligent yard management device shown in fig. 1, the network interface 1004 is mainly used for connecting an external network and performing data communication with other network devices; the user interface 1003 is mainly used for connecting to a user equipment and performing data communication with the user equipment; the device calls the intelligent yard management program stored in the memory 1005 through the processor 1001 and executes the intelligent yard management method provided by the embodiment of the invention.

Based on the hardware structure, the embodiment of the intelligent yard management method is provided.

Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the intelligent yard management method according to the present invention.

In a first embodiment, the intelligent yard management method comprises the steps of:

step S10, detecting current cargo information corresponding to each cargo type currently stored in the yard.

It should be noted that, the execution subject in this embodiment may be an intelligent yard management device, for example, a computer device with a data processing function, or may also be another device capable of implementing the same or similar functions.

It should be understood that the cargo in this embodiment may be cargo in the form of containers, and may also be cargo in other storage forms, which is not limited by this embodiment. The yard in this embodiment may be a container yard, and may also be another type of yard, which is not limited in this embodiment. In the present embodiment, the description will be given taking an example in which the cargo is cargo in the form of containers, and the yard is a container yard.

It can be understood that, because the goods are divided into different types, in order to facilitate management and control and arrangement, corresponding storage areas can be allocated to the goods of different goods types, and different types of goods can be stored through different storage areas.

In a specific implementation, for example, 5 types of cargoes may need to be stored in a yard, where the cargo types of the cargoes are cargo type a, cargo type B, cargo type C, cargo type D, and cargo type E, and an area a, an area B, an area C, an area D, and an area E may be partitioned from the yard, where the area a corresponds to the cargo type a, the cargo type B corresponds to the area B, the cargo type C corresponds to the area C, the cargo type D corresponds to the area D, and the cargo type E corresponds to the area E.

It should be understood that the cargo information may be detected when the cargo enters and exits the yard, and thus the cargo information of the cargo currently stored in the yard may be determined according to the detected entrance and exit information of the cargo. In addition, the cargo information of the cargo currently stored in the storage yard can be classified to determine the current cargo information corresponding to the cargo of each cargo type currently stored in the storage yard.

Step S20, obtaining first information of a to-be-selected item corresponding to a first to-be-selected item to be called into the yard within a preset time period, and second information of a to-be-selected item corresponding to a second to-be-selected item to be called out of the yard.

It should be understood that since most of the current data is networked, the circulation information of the goods can be viewed in real time, the departure place, the destination and the stopover place of the goods can be determined according to the circulation information, and the time for the goods to reach each place and the time for stopping can be estimated. Therefore, the information of the first goods to be selected corresponding to the first goods to be selected which are to be transferred to the storage yard in the preset time period and the information of the second goods to be selected corresponding to the second goods to be selected which are to be transferred out of the storage yard can be determined through the networked goods data. The first to-be-selected goods are goods to be transferred into the storage yard, the second to-be-selected goods are goods to be transferred out of the storage yard, and the preset time period may be set according to an actual situation, for example, the preset time period may be set to 1 day, half day, or 2 hours, and the like, which is not limited in this embodiment.

Step S30, predicting target storage amounts corresponding to the types of the goods according to the current goods information, the first goods to be selected information, and the second goods to be selected information.

It can be understood that after the first to-be-selected goods information and the second to-be-selected goods information are determined, the goods calling-in information corresponding to each goods type can be determined according to the first to-be-selected goods information, the goods calling-out information corresponding to each goods type can be determined according to the second to-be-selected goods information, and then the target storage amount corresponding to each goods type can be predicted according to the current goods information, the goods calling-in information and the goods calling-out information.

And step S40, respectively searching the storage area information corresponding to each cargo type, and determining the reference storage amount corresponding to each cargo type according to the storage area information.

It can be understood that, since each cargo type has a corresponding storage area, the storage area information corresponding to each cargo type can be searched respectively, and the reference storage amount corresponding to each cargo type is determined according to the storage area information.

It should be understood that a storage policy may be set for the cargo storage of the yard, for example, the storage policy may be set to be two-tier container stacking storage, or three-tier container stacking storage, or four-tier container stacking storage, etc., and other storage policies may also be set, which is not limited in this embodiment.

It can be understood that the storage area information corresponding to each cargo type can be searched respectively, the storage area corresponding to each cargo type can be determined according to the storage area information, and then the reference storage amount corresponding to each cargo type can be determined according to the storage area and the storage strategy. The reference storage amount is the amount of cargo that can be stored in the storage area corresponding to each cargo type, and since the cargo in this embodiment may be cargo in the form of containers, the amount of cargo may be the number of containers, and the amount of cargo is represented by the number of containers. The reference storage amounts corresponding to the cargo types may be the same or different, and this embodiment does not limit this. For example, the reference storage amounts corresponding to cargo type A, B, C, D, E may each be 120.

In step S50, the target storage amounts corresponding to the respective cargo types are compared with the reference storage amounts, respectively.

It should be understood that after determining the target storage amount and the reference storage amount corresponding to each cargo type, the target storage amount may be compared with the reference storage amount to determine whether the storage space corresponding to each cargo type is sufficient. If the target storage amount is less than or equal to the reference storage amount, the storage space corresponding to the goods type is sufficient; and if the target storage amount is larger than the reference storage amount, the storage space corresponding to the goods type is insufficient.

In step S60, the goods type whose target storage amount is larger than the reference storage amount is set as the target goods type.

It should be understood that a cargo type in which the target storage amount is larger than the reference storage amount may be taken as the target cargo type, i.e., the target cargo type in this embodiment refers to a cargo type in which the storage space is insufficient.

And step S70, dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount.

It can be understood that, because the storage space of the target cargo type is insufficient, in order to achieve a good cargo storage effect, the storage area corresponding to the target cargo type may be dynamically allocated according to the target storage amount and the reference storage amount, so as to increase the storage area corresponding to the target cargo type.

In the embodiment, current cargo information respectively corresponding to each cargo type currently stored in the storage yard is detected; acquiring first to-be-selected goods information corresponding to a first to-be-selected goods to be called into the stock dump and second to-be-selected goods information corresponding to a second to-be-selected goods to be called out of the stock dump within a preset time period; predicting target storage capacity corresponding to each cargo type according to the current cargo information, the first cargo information to be selected and the second cargo information to be selected; respectively searching storage area information corresponding to each cargo type, and determining reference storage capacity corresponding to each cargo type according to the storage area information; respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount; taking the goods type with the target storage amount larger than the reference storage amount as a target goods type; and dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount, so that the storage area corresponding to the target cargo type can be dynamically allocated in a mode of predicting the target storage amount, the problem that the cargo storage space is insufficient in a management mode of storing fixed-type cargos in a fixed area is solved, and a better cargo storage effect is achieved.

In an embodiment, as shown in fig. 3, a second embodiment of the intelligent yard management method according to the present invention is proposed based on the first embodiment, and the step S30 includes:

step S301, determining the current storage amount corresponding to each cargo type according to the current cargo information.

It should be noted that after determining the current cargo information corresponding to each cargo type currently stored in the yard, the current cargo information includes a plurality of information and also includes storage information, so that the current storage amount corresponding to each cargo type can be determined according to the current cargo information. Wherein, the current storage amount can be the number of containers, and the current storage amount is represented by the number of containers.

Step S302, determining the calling amount corresponding to each cargo type according to the first information of the cargo to be selected, and determining the calling amount corresponding to each cargo type according to the second information of the cargo to be selected.

It should be understood that, since the first item to be selected information includes the item information corresponding to each type of the input items, the input amount corresponding to each type of the items can be determined according to the first item to be selected information. And the second information of the goods to be selected comprises the information of the goods corresponding to each type of the dispatched goods, so that the dispatching amount corresponding to each type of the goods can be determined according to the second information of the goods to be selected. The amount of the transfer can be the number of the containers, and the amount of the transfer is represented by the number of the containers.

Further, in order to determine the call-in amount and the call-out amount more accurately to obtain a better yard management effect, the step S302 includes:

determining the type of the called goods and the goods information corresponding to the type of the called goods according to the first information of the goods to be selected; determining the called goods information corresponding to each goods type according to the goods information corresponding to the called goods type; determining the calling amount corresponding to each cargo type according to the calling cargo information; determining a called cargo type of the called cargo and cargo information corresponding to the called cargo type according to the second information of the cargo to be selected; determining called goods information corresponding to each goods type according to the goods information corresponding to the called goods types; and determining the transfer amount corresponding to each cargo type according to the information of the transferred cargos.

It should be understood that the type of the incoming cargo may be determined according to the first to-be-selected cargo information, wherein the type of the incoming cargo refers to the type of the cargo to which the cargo is incoming. For example, if it is recorded in the first item to be selected that the items corresponding to the item type a and the item type B need to be called, the item type a and the item type B may be used as a called item type, and other item types except the called item type may be used as non-called item types, for example, the item type C, the item type D, and the item type E may be used as non-called item types. And then the called-in goods information of the called-in goods type can be determined according to the goods information corresponding to the called-in goods type, and no goods are called in due to the fact that no called-in goods type exists, therefore, the called-in goods information of the no called-in goods type can also be determined to be the no goods calling in, and then the calling-in amount corresponding to each goods type can be determined according to the called-in goods information, wherein the calling-in amount corresponding to the no called-in goods type is 0.

Further, the determining the type of the called goods according to the first information of the to-be-selected goods and the information of the goods corresponding to the type of the called goods include:

detecting an information type corresponding to the first to-be-selected item information, and judging whether the information type is a form type; when the information type is not the table type, extracting character information from the first to-be-selected goods information; extracting features according to the text information to determine key words contained in the text information; matching the keywords with type words corresponding to various goods types to determine target type words corresponding to the keywords; determining the type of the called goods according to the target type words; and extracting data information corresponding to the keyword from the text information, and determining the cargo information corresponding to the type of the called cargo according to the data information.

It should be understood that, in order to facilitate information filtering, to more accurately determine the cargo information corresponding to the type of the imported cargo, the data processing may be performed in a table manner. Therefore, the information type corresponding to the first to-be-selected goods information can be detected, whether the information type is a table type or not is judged, and when the information type is the table type, data in the goods calling information table are sorted according to a preset sorting rule to generate a target calling information table; and determining the cargo information corresponding to the type of the imported cargo according to a target calling information table. When the information type is not the table type, the first item information to be selected may be converted into the table type information, and then the subsequent information processing may be performed.

It is understood that, in order to convert the first item information to be selected into the form type information, the text information may be extracted from the first item information to be selected, feature extraction may be performed according to the text information, and the keyword included in the text information may be determined according to the extracted feature. Some type words corresponding to each cargo type can be set in advance according to the cargo type in the storage yard, the keyword is matched with the type words corresponding to each cargo type, the target type word corresponding to the keyword is determined according to the matching result, and the cargo type corresponding to the target type word is used as the type of the imported cargo.

It can be understood that after the type of the called goods is determined, data information corresponding to the keyword can be extracted from the text information, and then the data information, the keyword and the corresponding relation item between the types of the called goods are combined to determine the goods information corresponding to the type of the called goods.

Further, the determining the cargo information corresponding to the called cargo type according to the data information includes:

generating a cargo calling information table according to the data information and the calling cargo information; sorting the data in the cargo call-in information table according to a preset sorting rule to generate a target call-in information table; and determining the cargo information corresponding to the type of the imported cargo according to the target calling information table.

It should be understood that a blank information table template may be preset, a cargo call-in information table is generated according to the blank information table template according to the data information and the call-in cargo information, the data in the cargo call-in information table is sorted according to a preset sorting rule, after sorting, the sorted table may be used as a target call-in information table, and then the cargo information corresponding to the type of the call-in cargo is determined according to the target call-in information table. The preset sorting rule may be set according to an actual situation, for example, the preset sorting rule may be set to sort according to a call-in amount from large to small, which is not limited in this embodiment.

Further, the performing feature extraction according to the text information to determine a keyword included in the text information includes:

determining an initial text according to the character information; performing text preprocessing on the initial text to obtain a text to be processed; and extracting features according to a preset feature extraction model and the text to be processed, and determining key words contained in the character information according to a feature extraction result.

It should be understood that the initial text may be determined according to the text information, the initial text may be subjected to text preprocessing to remove information such as some adverbs and conjunctions, and the preprocessed text may be used as the text to be processed. Some sample keywords can be preset, and the neural network model is trained according to the sample keywords to obtain a preset feature extraction model. The feature extraction can be carried out according to a preset feature extraction model and the text to be processed, and the keywords contained in the character information can be determined according to the feature extraction result.

It should be understood that the called cargo type of the called cargo may be determined according to the second information of the cargo to be selected, wherein the called cargo type refers to a type of the cargo from which the cargo is called. For example, if it is recorded in the first item information to be selected that the items corresponding to the item type a and the item type B need to be called out, the item type a and the item type B may be used as called-out item types, and other item types except the called-out item types may be used as non-called-out item types, for example, the item type C, the item type D, and the item type E may be used as non-called-out item types. And then the called-out goods information of the called-out goods type can be determined according to the goods information corresponding to the called-out goods type, and no goods can be called out due to the fact that no goods are called out, so that the called-out goods information of the called-out goods type can also be determined to be the calling-out goods without goods, and then the calling-out amount corresponding to each goods type can be determined according to the called-out goods information, wherein the calling-out amount corresponding to the calling-out goods type is 0.

It can be understood that the specific steps of determining the call-out amount corresponding to each cargo type are similar to the specific steps of determining the call-in amount corresponding to each cargo type, and reference may be made to the steps of determining the call-in amount, which are not described herein again.

And step S303, predicting target storage amounts corresponding to the types of the goods according to the current storage amount, the calling amount and the calling amount.

It should be understood that after determining the current storage amount, the call-in amount, and the call-out amount corresponding to each cargo type, the target storage amount corresponding to each cargo type can be predicted according to the current storage amount, the call-in amount, and the call-out amount.

In the embodiment, the current storage amount corresponding to each cargo type is determined according to the current cargo information; determining the calling amount corresponding to each cargo type according to the first information of the cargo to be selected, and determining the calling amount corresponding to each cargo type according to the second information of the cargo to be selected; and predicting target storage amounts corresponding to the types of the goods according to the current storage amount, the calling amount and the calling amount, so that the target storage amounts can be accurately determined.

In an embodiment, as shown in fig. 4, a third embodiment of the intelligent yard management method according to the present invention is proposed based on the first embodiment or the second embodiment, and in this embodiment, the description is made based on the first embodiment, and the step S70 includes:

and step S701, calculating a storage difference value according to the target storage amount corresponding to the target cargo type and the reference storage amount.

It should be understood that, through the above steps, a target storage amount corresponding to the target cargo type and a reference storage amount have been determined, the target storage amount refers to a storage amount required by the target cargo type within a preset time period, and the reference storage amount refers to a storage amount that can be stored in a storage area corresponding to the target cargo type in the yard.

It can be understood that the target storage amount may be compared with the reference storage amount, and when the target storage amount is greater than the reference storage amount, it indicates that the storage area corresponding to the target cargo type cannot meet the use requirement. The target storage amount corresponding to the target cargo type and the reference storage amount may be subtracted to obtain a storage amount difference.

Step S702, searching for alternative storage areas corresponding to the storage yard, and searching for alternative area information corresponding to each alternative storage area.

It should be understood that alternative storage areas may be provided in the yard for use as needed. The storage yard information can be searched, the alternative storage area corresponding to the storage yard is determined according to the storage yard information, and the alternative area information corresponding to each alternative storage area is searched.

Step S703, determining the candidate area position of each candidate storage area according to the candidate area information, and searching for the target area position corresponding to the storage area corresponding to the target cargo type.

It can be understood that the candidate area position corresponding to each candidate storage area can be determined according to the candidate area information, and the target area position corresponding to the storage area corresponding to the target cargo type can also be searched, so that the distance relationship between the candidate storage area position and the target area position can be determined.

Step S704, calculating a separation distance between the target region position and the candidate region position, and comparing the separation distance with a preset separation distance threshold.

It is understood that a preset spacing distance threshold may be preset, a spacing distance between the target area position and the candidate area position is calculated, and the spacing distance is compared with the preset spacing distance threshold to determine whether the candidate area may be used to store goods corresponding to the target goods type.

Step S705, when the distance is less than or equal to the preset distance threshold, dynamically allocating a storage area corresponding to the target cargo type according to the candidate area information.

It should be understood that when the separation distance is less than or equal to the preset separation distance threshold, it is stated that the alternative area may be used to store the goods corresponding to the target goods type. Therefore, the storage area corresponding to the target cargo type can be dynamically allocated according to the information of the alternative area, so that the cargo storage requirement of the target cargo type can be met.

Further, since the goods that can be stored in the candidate area are limited, there may be a problem that the storage space of the candidate area is also insufficient, and in order to avoid this, the step S705 includes:

determining the alternative storage capacity corresponding to the alternative area according to the alternative area information; comparing the alternative storage amount with the storage amount difference value; when the alternative storage amount is greater than or equal to the storage amount difference value, taking the alternative area as a dynamic allocation area; and dynamically allocating the storage area corresponding to the target cargo type according to the dynamic allocation area.

It should be understood that the candidate storage amount corresponding to the candidate area may be determined according to the candidate area information, and the candidate storage amount refers to the storage amount of the goods that can be stored in the candidate area. The alternative storage amount and the storage amount difference value can be compared, and when the alternative storage amount is larger than or equal to the storage amount difference value, the storage space of the alternative area is enough, so that the alternative area can be used as a dynamic allocation area, and the storage area corresponding to the target goods type is dynamically allocated according to the dynamic allocation area. And the storage area after the target cargo type is allocated is the original storage area of the target storage type plus the alternative area.

Further, after comparing the candidate storage amount with the storage amount difference, the method further includes:

when the alternative storage amount is smaller than the storage amount difference value, calculating the expected occupancy amount according to the alternative storage amount and the storage amount difference value; taking a storage area adjacent to the storage area corresponding to the target goods type as a storage area to be selected, and taking the goods type corresponding to the storage area to be selected as a goods type to be selected; searching a target storage amount and a reference storage amount corresponding to the type of the goods to be selected, and calculating the idle amount to be selected according to the target storage amount and the reference storage amount corresponding to the type of the goods to be selected; comparing the predicted occupied amount with the idle amount to be selected; when the predicted occupied amount is smaller than the idle amount to be selected, calculating a predicted occupied space according to the predicted occupied amount; drawing a storage area expected to be occupied from the storage area to be selected according to the expected occupied space; and determining a dynamic allocation area according to the expected occupied storage area and the alternative area.

It should be understood that when the storage amount of the candidate is smaller than the storage amount difference, it indicates that the storage space of the candidate area is insufficient, and therefore, a part of other areas may be divided to store the goods of the target goods type in addition to the candidate area.

It is understood that the expected occupancy may be calculated from the candidate storage amounts and the storage amount difference, and specifically, the candidate storage amounts and the storage amount difference may be subtracted to obtain the expected occupancy. Because the storage yard is provided with a plurality of storage areas which respectively correspond to different goods types, the storage area adjacent to the storage area corresponding to the target goods type can be used as a storage area to be selected, and the goods type corresponding to the storage area to be selected is used as the goods type to be selected.

It can be understood that the target storage amount and the reference storage amount corresponding to the type of the goods to be selected can be searched, and the target storage amount and the reference storage amount corresponding to the type of the goods to be selected can be subtracted to obtain the idle amount to be selected. And then, the estimated occupied space and the idle space to be selected can be compared, when the estimated occupied space is smaller than the idle space to be selected, the estimated occupied space is calculated according to the estimated occupied space, and the estimated occupied storage area is drawn from the storage area to be selected according to the estimated occupied space. The storage area which is expected to occupy the storage area and the backup area can be used as a dynamic allocation area, and the storage area corresponding to the target cargo type is dynamically allocated according to the dynamic allocation area. The storage area after the target cargo type is allocated is the original storage area of the target storage type, the alternative area and the expected occupied storage area.

In this embodiment, a storage difference is calculated according to the target storage amount corresponding to the target cargo type and the reference storage amount; searching for alternative storage areas corresponding to the storage yard, and searching for alternative area information corresponding to each alternative storage area; determining the alternative area position of each alternative storage area according to the alternative area information, and searching the target area position corresponding to the storage area corresponding to the target cargo type; calculating a spacing distance between the target region position and the candidate region position, and comparing the spacing distance with a preset spacing distance threshold; when the spacing distance is smaller than or equal to the preset spacing distance threshold, the storage area corresponding to the target cargo type is dynamically allocated according to the alternative area information, so that under the condition that the space of the backup area is insufficient, partial space close to the storage area can be drawn for cargo storage, the effect of dynamically allocating the storage space of the target cargo type is achieved, and the cargo storage effect of the yard is improved.

In addition, referring to fig. 5, an embodiment of the present invention further provides an intelligent yard management system, where the intelligent yard management system includes:

the information detection module 10 is configured to detect current cargo information corresponding to each cargo type currently stored in the yard.

The information obtaining module 20 is configured to obtain first information of a to-be-selected item corresponding to a first to-be-selected item to be called into the yard within a preset time period, and second information of a to-be-selected item corresponding to a second to-be-selected item to be called out of the yard.

And the data calculation module 30 is configured to predict target storage amounts respectively corresponding to the types of the goods according to the current goods information, the first goods to be selected information, and the second goods to be selected information.

And the data searching module 40 is configured to search storage area information corresponding to each cargo type, and determine a reference storage amount corresponding to each cargo type according to the storage area information.

And the data comparison module 50 is used for comparing the target storage amount corresponding to each cargo type with the reference storage amount respectively.

And the target determining module 60 is used for taking the goods type with the target storage amount larger than the reference storage amount as the target goods type.

And the region allocating module 70 is configured to dynamically allocate the storage region corresponding to the target cargo type according to the target storage amount and the reference storage amount.

In an embodiment, the data calculating module 30 is further configured to determine, according to the current cargo information, current storage amounts respectively corresponding to the types of the cargos; determining the calling amount corresponding to each cargo type according to the first information of the cargo to be selected, and determining the calling amount corresponding to each cargo type according to the second information of the cargo to be selected; and predicting target storage amounts corresponding to the types of the cargos according to the current storage amount, the calling amount and the calling amount.

In an embodiment, the data calculation module 30 is further configured to determine, according to the first information of the to-be-selected goods, a type of a called good of the called good, and goods information corresponding to the type of the called good; determining the called goods information corresponding to each goods type according to the goods information corresponding to the called goods type; determining the calling amount corresponding to each cargo type according to the calling cargo information; determining a called cargo type of the called cargo and cargo information corresponding to the called cargo type according to the second information of the cargo to be selected; determining called goods information corresponding to each goods type according to the goods information corresponding to the called goods types; and determining the transfer amount corresponding to each cargo type according to the information of the transferred cargos.

In an embodiment, the data calculating module 30 is further configured to detect an information type corresponding to the first item to be selected information, and determine whether the information type is a table type; when the information type is not the table type, extracting character information from the first to-be-selected goods information; extracting features according to the text information to determine key words contained in the text information; matching the keywords with type words corresponding to various goods types to determine target type words corresponding to the keywords; determining the type of the called goods according to the target type words; and extracting data information corresponding to the keyword from the text information, and determining the cargo information corresponding to the type of the called cargo according to the data information.

In an embodiment, the data calculation module 30 is further configured to generate a cargo call-in information table according to the data information and the call-in cargo information; sorting the data in the cargo call-in information table according to a preset sorting rule to generate a target call-in information table; and determining the cargo information corresponding to the type of the imported cargo according to the target calling information table.

In an embodiment, the data calculation module 30 is further configured to determine an initial text according to the text information; performing text preprocessing on the initial text to obtain a text to be processed; and extracting features according to a preset feature extraction model and the text to be processed, and determining key words contained in the character information according to a feature extraction result.

In an embodiment, the area allocating module 70 is further configured to calculate an amount difference according to a target storage amount corresponding to the target cargo type and a reference storage amount; searching for alternative storage areas corresponding to the storage yard, and searching for alternative area information corresponding to each alternative storage area; determining the alternative area position of each alternative storage area according to the alternative area information, and searching the target area position corresponding to the storage area corresponding to the target cargo type; calculating a spacing distance between the target region position and the candidate region position, and comparing the spacing distance with a preset spacing distance threshold; and when the spacing distance is smaller than or equal to the preset spacing distance threshold, dynamically allocating the storage area corresponding to the target cargo type according to the information of the candidate area.

In an embodiment, the region allocating module 70 is further configured to determine, according to the candidate region information, a candidate storage amount corresponding to the candidate region; comparing the alternative storage amount with the storage amount difference value; when the alternative storage amount is greater than or equal to the storage amount difference value, taking the alternative area as a dynamic allocation area; and dynamically allocating the storage area corresponding to the target cargo type according to the dynamic allocation area.

In an embodiment, the region deployment module 70 is further configured to calculate a predicted occupancy amount according to the candidate storage amount and the storage amount difference value when the candidate storage amount is smaller than the storage amount difference value; taking a storage area adjacent to the storage area corresponding to the target goods type as a storage area to be selected, and taking the goods type corresponding to the storage area to be selected as a goods type to be selected; searching a target storage amount and a reference storage amount corresponding to the type of the goods to be selected, and calculating the idle amount to be selected according to the target storage amount and the reference storage amount corresponding to the type of the goods to be selected; comparing the predicted occupied amount with the idle amount to be selected; when the predicted occupied amount is smaller than the idle amount to be selected, calculating a predicted occupied space according to the predicted occupied amount; drawing a storage area expected to be occupied from the storage area to be selected according to the expected occupied space; and determining a dynamic allocation area according to the expected occupied storage area and the alternative area.

In other embodiments or specific implementation methods of the intelligent yard management system according to the present invention, reference may be made to the above method embodiments, and details are not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) readable by an estimator, and includes instructions for enabling an intelligent device (e.g. a mobile phone, an estimator, an intelligent yard management device, or a network intelligent yard management device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. An intelligent yard management method is characterized by comprising the following steps:

2. The intelligent yard management method of claim 1, wherein the predicting the target storage amount corresponding to each cargo type according to the current cargo information, the first cargo information to be selected, and the second cargo information to be selected comprises:

3. The intelligent yard management method of claim 2, wherein the determining the call-in amount corresponding to each cargo type according to the first information of the cargo to be selected and determining the call-out amount corresponding to each cargo type according to the second information of the cargo to be selected comprises:

4. The intelligent yard management method according to claim 3, wherein the determining a called cargo type of the called cargo according to the first information of the to-be-selected cargo and the cargo information corresponding to the called cargo type comprise:

determining the type of the called goods according to the target type words;

5. The intelligent yard management method of claim 4, wherein said determining the cargo information corresponding to the type of the imported cargo according to the data information comprises:

6. The intelligent yard management method of claim 5, wherein said extracting features according to said text message to determine keywords contained in said text message comprises:

determining an initial text according to the character information;

7. The intelligent yard management method of any claim 1 to 6, wherein the dynamically allocating the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount comprises:

8. The intelligent yard management method of claim 7, wherein the dynamically allocating the storage area corresponding to the target cargo type according to the candidate area information comprises:

9. The intelligent yard management method of claim 8, wherein after comparing said candidate storage amount to said storage amount difference value, further comprising:

comparing the predicted occupied amount with the idle amount to be selected;

10. An intelligent yard management system, comprising: