CN113128870B

CN113128870B - Intelligent storage yard management method and system

Info

Publication number: CN113128870B
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: 2024-02-27
Anticipated expiration: 2041-04-16
Also published as: CN113128870A

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 stored in a storage yard, and predicting target storage amounts corresponding to the cargo types according to the current cargo information, the first to-be-selected cargo information and the second to-be-selected cargo information; searching storage area information corresponding to each cargo type, determining reference storage amounts corresponding to the cargo types, and taking the cargo type with the target storage amount larger than the reference storage amount as the target cargo type; the storage areas corresponding to the target cargo types are dynamically allocated according to the target storage amount and the reference storage amount, so that the storage areas corresponding to the target cargo types can be dynamically allocated in a mode of predicting the target storage amount, the problem that insufficient cargo storage space possibly exists in a management mode of storing fixed type cargoes through the fixed areas is solved, and a better cargo 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 cargoes such as containers are stored and managed in a storage yard, the condition that cargoes are mixed easily occurs, and the storage amount of different types of cargoes may be different or change in real time, and the existing management mode for storing fixed types of cargoes through a fixed area may have the condition that the storage space of cargoes is insufficient.

The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing 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 insufficient cargo storage space possibly exists in a management mode of storing fixed type cargoes 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 includes the following steps:

detecting current cargo information corresponding to each cargo type stored in a storage yard;

acquiring first goods to be called into the storage yard corresponding to first goods to be selected information and second goods to be called out of the storage yard corresponding to second goods to be selected information in a preset time period;

Predicting target storage amounts respectively corresponding to the types of the cargos according to the current cargo information, the first to-be-selected cargo information and the second to-be-selected cargo information;

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

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

taking the cargo type with the target storage amount larger than the reference storage amount as the target cargo 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 cargo information, the first to-be-selected cargo information, and the second to-be-selected cargo information, the target storage amounts respectively corresponding to the cargo types includes:

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

determining the call-in quantity corresponding to each cargo type according to the first cargo information to be selected, and determining the call-in quantity corresponding to each cargo type according to the second cargo information to be selected;

and predicting the target storage amount corresponding to each cargo type according to the current storage amount, the call-in amount and the call-out amount.

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

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

determining the information of the transferred goods corresponding to each goods type according to the information of the goods corresponding to the transferred goods type;

determining the corresponding transfer-in amount of each cargo type according to the transfer-in cargo information;

determining the type of the delivered goods and the goods information corresponding to the type of the delivered goods according to the second to-be-selected goods information;

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

and determining the dispatch quantity corresponding to each cargo type according to the dispatch cargo information.

Optionally, the determining the type of the tuned-in cargo according to the first information of the to-be-selected cargo and the cargo information corresponding to the type of the tuned-in cargo includes:

detecting an information type corresponding to the first goods information to be selected, and judging whether the information type is a form type or not;

When the information type is not the form type, extracting text information from the first goods information to be selected;

extracting features according to the text information to determine keywords contained in the text information;

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

determining the type of the transferred goods according to the target type word;

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

Optionally, the determining, according to the data information, cargo information corresponding to the tuned-in cargo type includes:

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

sorting the data in the goods calling information table according to a preset sorting rule to generate a target calling information table;

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

Optionally, the feature extraction is performed according to the text information to determine keywords contained in the text information, including:

Determining an initial text according to the text information;

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

and carrying out feature extraction according to a preset feature extraction model and the text to be processed, and determining keywords contained in the text information according to a feature extraction result.

Optionally, the dynamically allocating the 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 amount and the reference storage amount corresponding to the target cargo type;

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

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

calculating the interval distance between the target area position and the alternative area position, and comparing the interval distance with a preset interval distance threshold;

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

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

determining an alternative storage amount corresponding to the alternative region according to the alternative region information;

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

when the alternative storage amount is larger than or equal to the storage amount difference value, the alternative area is used 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 alternative storage amount with the storage amount difference value, the method further includes:

when the alternative storage amount is smaller than the storage amount difference value, calculating the estimated occupation 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 cargo type as a to-be-selected storage area, and taking the cargo type corresponding to the to-be-selected storage area as a to-be-selected cargo type;

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

when the estimated occupation amount is smaller than the idle amount to be selected, calculating an estimated occupation space according to the estimated occupation amount;

drawing the expected occupied storage area 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 also provides an intelligent yard management system, which includes:

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

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

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

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

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

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

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

According to the intelligent storage yard management method, the current cargo information corresponding to each cargo type stored in the storage yard is detected; acquiring first goods to be called into the storage yard corresponding to first goods to be selected information and second goods to be called out of the storage yard corresponding to second goods to be selected information in a preset time period; predicting target storage amounts respectively corresponding to the types of the cargos according to the current cargo information, the first to-be-selected cargo information and the second to-be-selected cargo information; searching storage area information corresponding to each cargo type respectively, and determining reference storage amounts corresponding to the cargo types respectively according to the storage area information; respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount; taking the cargo type with the target storage amount larger than the reference storage amount as the target cargo type; the storage areas corresponding to the target cargo types are dynamically allocated according to the target storage amount and the reference storage amount, so that the storage areas corresponding to the target cargo types can be dynamically allocated in a mode of predicting the target storage amount, the problem that insufficient cargo storage space possibly exists in a management mode of storing fixed-type cargoes through fixed areas is solved, and a better cargo storage effect is achieved.

Drawings

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

FIG. 2 is a flowchart of a first embodiment of the intelligent yard management method of the present invention;

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

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

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

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of 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 (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as keys, and the optional user interface 1003 may also include 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 high-speed random access memory (Random Access Memory, RAM) memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.

Those skilled in the art will appreciate that the device architecture shown in fig. 1 is not limiting of the intelligent yard management device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.

As shown in fig. 1, an operating system, a network communication module, a user interface module, and an intelligent yard management program may be included in the memory 1005 as one type of storage medium.

In the intelligent yard management apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to an external network and performing data communication with other network apparatuses; the user interface 1003 is mainly used for connecting user equipment and communicating data with the user equipment; the apparatus of the present invention 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 present invention.

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

Referring to fig. 2, fig. 2 is a 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 includes the steps of:

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

It should be noted that, the execution body of the embodiment may be an intelligent storage yard management device, for example, a computer device with a data processing function, or may be other devices that can implement the same or similar functions, which is not limited in this embodiment, and in this embodiment, an intelligent storage yard management device is taken as an example for explanation.

It should be understood that the cargo in this embodiment may be in the form of a container, or may be in other storage forms, which the present embodiment is not limited to. The storage yard in this embodiment may be a container storage yard, or may be another storage yard, which is not limited in this embodiment. In this embodiment, the cargo is in the form of a container, and the storage yard is a container storage yard.

It can be understood that, since the cargoes are classified into different types, for convenience in management and arrangement, corresponding storage areas can be allocated to cargoes of different cargo types, and different types of cargoes can be stored through different storage areas.

In a specific implementation, for example, 5 types of cargos may need to be stored in a yard, where the cargo types of the cargos are cargo type a, cargo type B, cargo type C, cargo type D, and cargo type E, respectively, and an area a, an area B, an area C, an area D, and an area E may be divided in 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 appreciated that the cargo information may be detected as the cargo enters and exits the yard, and thus the cargo information of the cargo currently stored in the yard may be determined based on the detected cargo entry and exit information. And, the cargo information of the cargoes currently stored in the storage yard can be classified to determine the current cargo information corresponding to the cargoes of each cargo type currently stored in the storage yard.

Step S20, obtaining first goods to be selected information corresponding to the first goods to be selected to be transferred to the storage yard within a preset time period, and second goods to be selected information corresponding to the second goods to be transferred to the storage yard.

It should be appreciated that since most of the current data is networked, the circulation information of the goods can be viewed in real time, the departure place, destination and stopover place of the goods can be determined from the circulation information, and the time for the goods to reach various places and the time for which the stopover is required can also be estimated. Therefore, the first goods to be selected information corresponding to the first goods to be selected to be called up to the storage yard in the preset time period and the second goods to be selected information corresponding to the second goods to be called up to the storage yard can be determined through the networking goods data. The first to-be-selected cargo is a cargo to be transferred to the yard, the second to-be-selected cargo is a cargo to be transferred to the yard, and the preset time period may be set according to practical situations, for example, may be set to 1 day, half day, or 2 hours, which is not limited in this embodiment.

And step S30, predicting target storage amounts respectively corresponding to the cargo types according to the current cargo information, the first cargo information to be selected and the second cargo information to be selected.

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

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

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

It can be understood that the storage area information corresponding to each cargo type can be searched for, 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 an amount of cargo that can be stored in a 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, which is not limited in this embodiment. For example, the reference storage amounts for the cargo types A, B, C, D, E may each be 120.

And S50, comparing the target storage amount corresponding to each cargo type with the reference storage amount.

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

And step S60, taking the cargo type with the target storage amount larger than the reference storage amount as the target cargo type.

It should be understood that a cargo type having a target storage amount larger than the reference storage amount may be regarded as the target cargo type, that is, the target cargo type in the present embodiment refers to a cargo type having insufficient storage space.

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 can 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, the current cargo information corresponding to each cargo type stored in the storage yard is detected; acquiring first goods to be called into the storage yard corresponding to first goods to be selected information and second goods to be called out of the storage yard corresponding to second goods to be selected information in a preset time period; predicting target storage amounts respectively corresponding to the types of the cargos according to the current cargo information, the first to-be-selected cargo information and the second to-be-selected cargo information; searching storage area information corresponding to each cargo type respectively, and determining reference storage amounts corresponding to the cargo types respectively according to the storage area information; respectively comparing the target storage amount corresponding to each cargo type with the reference storage amount; taking the cargo type with the target storage amount larger than the reference storage amount as the target cargo type; the storage areas corresponding to the target cargo types are dynamically allocated according to the target storage amount and the reference storage amount, so that the storage areas corresponding to the target cargo types can be dynamically allocated in a mode of predicting the target storage amount, the problem that insufficient cargo storage space possibly exists in a management mode of storing fixed-type cargoes through fixed areas 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 provided based on the first embodiment, and the step S30 includes:

step S301, determining the current storage amounts respectively corresponding to the cargo types according to the current cargo information.

After determining the current cargo information corresponding to each cargo type currently stored in the storage 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 may be the number of containers, by which the current storage amount is represented.

Step S302, determining the call-in amounts respectively corresponding to the cargo types according to the first cargo information to be selected, and determining the call-in amounts respectively corresponding to the cargo types according to the second cargo information to be selected.

It should be understood that, since the first to-be-selected cargo information includes cargo information corresponding to each of the call-in cargo types, the call-in amounts corresponding to the respective cargo types may be determined according to the first to-be-selected cargo information. And, because the second to-be-selected goods information comprises the goods information corresponding to each type of the called goods, the call-out quantity corresponding to each type of the goods can be determined according to the second to-be-selected goods information. The amount of adjustment and the amount of adjustment may be the number of containers, and the amount of adjustment may be represented by the number of containers.

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

determining the type of the transferred goods and the goods information corresponding to the type of the transferred goods according to the first goods information to be selected; determining the information of the transferred goods corresponding to each goods type according to the information of the goods corresponding to the transferred goods type; determining the corresponding transfer-in amount of each cargo type according to the transfer-in cargo information; determining the type of the delivered goods and the goods information corresponding to the type of the delivered goods according to the second to-be-selected goods information; according to the goods information corresponding to the goods types, determining the goods information corresponding to each goods type; and determining the dispatch quantity corresponding to each cargo type according to the dispatch cargo information.

It should be appreciated that the type of the incoming shipment may be determined based on the first candidate shipment information, wherein the incoming shipment type refers to the shipment type into which the shipment is incoming. For example, assuming that the first to-be-selected cargo information records that the cargos corresponding to the cargo type a and the cargo type B need to be transferred in, the cargo type a and the cargo type B may be used as transfer-in cargo types, and other cargo types except the transfer-in cargo types may be used as non-transfer-in cargo types, for example, the cargo type C, the cargo type D and the cargo type E may be used as non-transfer-in cargo types. Furthermore, the calling-in cargo information of the calling-in cargo type can be determined according to the cargo information corresponding to the calling-in cargo type, and the calling-in cargo information of the calling-in cargo type can be determined to be the calling-in cargo free because the calling-in cargo type does not have cargos, and further the calling-in quantity corresponding to each cargo type can be determined according to the calling-in cargo information, wherein the calling-in quantity corresponding to the calling-in cargo type is 0.

Further, the determining the type of the tuned-in cargo according to the first information of the to-be-selected cargo, and the cargo information corresponding to the type of the tuned-in cargo, includes:

detecting an information type corresponding to the first goods information to be selected, and judging whether the information type is a form type or not; when the information type is not the form type, extracting text information from the first goods information to be selected; extracting features according to the text information to determine keywords contained in the text information; matching the keywords with type words corresponding to the types of goods to determine target type words corresponding to the keywords; determining the type of the transferred goods according to the target type word; and extracting data information corresponding to the keywords from the text information, and determining the goods information corresponding to the type of the called goods according to the data information.

It should be appreciated that in order to facilitate information screening to more accurately determine the cargo information corresponding to the type of the tuned cargo, data processing may be performed in a tabular manner. Therefore, the information type corresponding to the first to-be-selected cargo information can be detected, whether the information type is a form type or not is judged, and when the information type is the form type, the data in the cargo calling information table are ordered according to a preset ordering rule so as to generate a target calling information table; and determining the cargo information corresponding to the type of the transferred cargo according to the target transferred information table. When the information type is not the form type, the first goods information to be selected can be converted into the information of the form type, and then the subsequent information processing is carried out.

It may be appreciated that, in order to convert the first goods information to form type information, text information may be extracted from the first goods information, feature extraction may be performed according to the text information, and keywords included in the text information may be determined according to the extracted features. The method comprises the steps of setting a plurality of type words corresponding to the types of goods respectively according to the types of the goods in a storage yard, matching the keywords with the type words corresponding to the types of the goods, determining target type words corresponding to the keywords according to a matching result, and taking the type of the goods corresponding to the target type words as the type of the transferred goods.

It can be understood that after determining the type of the tuned-in cargo, the data information corresponding to the keyword may be extracted from the text information, and then the data information, the keyword and the corresponding relation between the type of the tuned-in cargo are combined to determine the cargo information corresponding to the type of the tuned-in cargo.

Further, the determining, according to the data information, cargo information corresponding to the tuned-in cargo type includes:

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

It should be understood that a blank information table template may be preset, a cargo call information table may be generated according to the blank information table template according to the data information and the call cargo information, the data in the cargo call information table may be ordered according to a preset ordering rule, after the ordering, the ordered table may be used as a target call information table, and then cargo information corresponding to the call cargo type may be determined according to the target call information table. The preset ordering rule may be set according to practical situations, for example, may be set to order from large to small according to the tuning amount, which is not limited in this embodiment.

Further, the feature extraction is performed according to the text information to determine keywords contained in the text information, including:

determining an initial text according to the text information; performing text preprocessing on the initial text to obtain a text to be processed; and carrying out feature extraction according to a preset feature extraction model and the text to be processed, and determining keywords contained in the text information according to a feature extraction result.

It should be understood that the initial text may be determined according to the text information, and the initial text may be subjected to text preprocessing to remove some information such as adverbs and connective words, and the preprocessed text may be used as the text to be processed. Some sample keywords can be preset, and training is performed on the neural network model according to the sample keywords so as to obtain a preset feature extraction model. Feature extraction can be performed according to a preset feature extraction model and a text to be processed, and keywords contained in the text information can be determined according to feature extraction results.

It should be appreciated that the type of shipment of the shipment may be determined based on the second candidate shipment information, where the type of shipment refers to the type of shipment that has been ship from. For example, assuming that the first to-be-selected cargo information records that the cargoes corresponding to the cargo type a and the cargo type B need to be called out, the cargo type a and the cargo type B may be called out as the called-out cargo types, and other cargo types except the called-out cargo types may be called out as the non-called-out cargo types, for example, the cargo type C, the cargo type D and the cargo type E may be called out as the non-called-out cargo types. Furthermore, the call-out cargo information of the call-out cargo type can be determined according to the cargo information corresponding to the call-out cargo type, and since no call-out cargo type has no cargo call-out, the call-out cargo information of the call-out cargo type can be determined to be the call-out cargo free, and further the call-out amount respectively corresponding to each cargo type can be determined according to the call-out cargo information, wherein the call-out amount corresponding to the call-out cargo type is 0.

It is understood that the specific step of determining the call-out amount corresponding to each cargo type is similar to the specific step of determining the call-in amount corresponding to each cargo type, and the step of determining the call-in amount may be referred to the foregoing, and will not be described herein.

Step S303, predicting the target storage amount corresponding to each cargo type according to the current storage amount, the call-in amount and the call-out amount.

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

In this embodiment, determining current storage amounts respectively corresponding to the types of goods according to the current goods information; determining the call-in quantity corresponding to each cargo type according to the first cargo information to be selected, and determining the call-in quantity corresponding to each cargo type according to the second cargo information to be selected; and predicting the target storage amount corresponding to each cargo type according to the current storage amount, the call-in amount and the call-out amount, so that the target storage amount 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 provided based on the first embodiment or the second embodiment, in this embodiment, the step S70 is described based on the first embodiment, and includes:

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

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

It can be understood that the target storage amount can be compared with the reference storage amount, and when the target storage amount is greater than the reference storage amount, it is indicated 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 value.

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

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

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

It can be understood that the location of the candidate region corresponding to each candidate storage region may be determined according to the candidate region information, and the location of the target region corresponding to the storage region corresponding to the target cargo type may be searched, so that the distance relationship between the location of the candidate storage region and the location of the target region may be determined.

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

It will be appreciated that a preset separation distance threshold may be preset, the separation distance between the target region location and the alternate region location may be calculated, and the separation distance may be compared to the preset separation distance threshold to determine whether an alternate region may be employed to store the cargo corresponding to the target cargo type.

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

It should be appreciated that when the separation distance is less than or equal to the preset separation distance threshold, the description may employ an alternative area 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 alternative area information so as to meet the cargo storage requirement of the target cargo type.

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 insufficient, in order to avoid this, the step S705 includes:

determining an alternative storage amount corresponding to the alternative region according to the alternative region information; comparing the alternative storage amount with the storage amount difference value; when the alternative storage amount is larger than or equal to the storage amount difference value, the alternative area is used 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 alternative storage amount corresponding to the alternative region may be determined according to the alternative region information, and the alternative storage amount refers to the storage amount of the goods that the alternative region is capable of storing. 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 cargo type can be 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 plus an alternative area.

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

when the alternative storage amount is smaller than the storage amount difference value, calculating the estimated occupation 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 cargo type as a to-be-selected storage area, and taking the cargo type corresponding to the to-be-selected storage area as a to-be-selected cargo type; searching a target storage amount and a reference storage amount corresponding to the type of the goods to be selected, and calculating a 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 estimated occupation amount with the idle amount to be selected; when the estimated occupation amount is smaller than the idle amount to be selected, calculating an estimated occupation space according to the estimated occupation amount; drawing the expected occupied storage area 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 appreciated that when the alternative storage amount is less than the storage amount difference, the storage space of the alternative area is not enough, so that a part of other area can be scratched to store the goods of the target goods type in addition to the alternative area.

It will be appreciated that the estimated occupation amount may be calculated based on the difference between the alternative storage amount and the storage amount, and specifically, the difference between the alternative storage amount and the storage amount may be subtracted to obtain the estimated occupation amount. Because the storage areas are arranged in the storage yard and correspond to different cargo types respectively, the storage area adjacent to the storage area corresponding to the target cargo type can be used as a storage area to be selected, and the cargo type corresponding to the storage area to be selected can be used as the cargo 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. Then, the estimated occupation amount and the idle amount to be selected can be compared, and when the estimated occupation amount is smaller than the idle amount to be selected, the estimated occupation space is calculated according to the estimated occupation amount, and then the estimated occupation storage area is drawn from the storage area to be selected according to the estimated occupation space. The backup area of the part of the expected occupied 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 allocation of the target cargo type is the original storage area plus the alternative area plus the expected occupied storage area of the target storage type.

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

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

The information obtaining module 20 is configured to obtain first cargo information corresponding to a first cargo to be transferred into the storage yard within a preset time period, and second cargo information corresponding to a second cargo to be transferred out of the storage yard.

The data calculation module 30 is configured to predict target storage amounts corresponding to the respective cargo types according to the current cargo information, the first cargo information to be selected, and the second cargo information to be selected.

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.

The data comparison module 50 is configured to compare the target storage amount corresponding to each cargo type with the reference storage amount.

The target determining module 60 is configured to take, as the target cargo type, a cargo type in which the target storage amount is greater than the reference storage amount.

And the region allocation module 70 is configured to dynamically allocate a 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 a current storage amount corresponding to each cargo type according to the current cargo information; determining the call-in quantity corresponding to each cargo type according to the first cargo information to be selected, and determining the call-in quantity corresponding to each cargo type according to the second cargo information to be selected; and predicting the target storage amount corresponding to each cargo type according to the current storage amount, the call-in amount and the call-out amount.

In an embodiment, the data calculating module 30 is further configured to determine a type of the tuned-in cargo according to the first information of the to-be-selected cargo, and cargo information corresponding to the type of the tuned-in cargo; determining the information of the transferred goods corresponding to each goods type according to the information of the goods corresponding to the transferred goods type; determining the corresponding transfer-in amount of each cargo type according to the transfer-in cargo information; determining the type of the delivered goods and the goods information corresponding to the type of the delivered goods according to the second to-be-selected goods information; according to the goods information corresponding to the goods types, determining the goods information corresponding to each goods type; and determining the dispatch quantity corresponding to each cargo type according to the dispatch cargo information.

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

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

In one 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 carrying out feature extraction according to a preset feature extraction model and the text to be processed, and determining keywords contained in the text information according to a feature extraction result.

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

In an embodiment, the area allocation module 70 is further configured to determine an alternative storage amount 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 larger than or equal to the storage amount difference value, the alternative area is used 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 area allocation module 70 is further configured to calculate an estimated occupation 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 cargo type as a to-be-selected storage area, and taking the cargo type corresponding to the to-be-selected storage area as a to-be-selected cargo type; searching a target storage amount and a reference storage amount corresponding to the type of the goods to be selected, and calculating a 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 estimated occupation amount with the idle amount to be selected; when the estimated occupation amount is smaller than the idle amount to be selected, calculating an estimated occupation space according to the estimated occupation amount; drawing the expected occupied storage area 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.

Other embodiments or specific implementation methods of the intelligent storage yard management system of the present invention may refer to the above method embodiments, and are not described herein.

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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in an estimator readable storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a smart device (which may be a cell phone, estimator, smart yard management device, or network smart yard management device, etc.) to perform the method according to the embodiments of the present invention.

The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims

1. The intelligent storage yard management method is characterized by comprising the following steps of:

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

the dynamic allocation of the storage area corresponding to the target cargo type according to the target storage amount and the reference storage amount comprises the following steps:

when the interval distance is smaller than or equal to the preset interval distance threshold value, dynamically allocating a storage area corresponding to the target cargo type according to the alternative area information;

The dynamically allocating the storage area corresponding to the target cargo type according to the alternative area information comprises the following steps:

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

after comparing the alternative storage amount with the storage amount difference value, the method further comprises:

Comparing the estimated occupation amount with the idle amount to be selected;

2. The intelligent yard management method according to claim 1, wherein predicting the target storage amounts respectively corresponding to the respective cargo types according to the current cargo information, the first candidate cargo information, and the second candidate cargo information comprises:

3. The intelligent yard management method according to claim 2, wherein said determining, according to the first to-be-selected cargo information, the call-in amounts respectively corresponding to the respective cargo types, and determining, according to the second to-be-selected cargo information, the call-out amounts respectively corresponding to the respective cargo types, includes:

4. The intelligent yard management method of claim 3 wherein said determining a type of incoming cargo for an incoming cargo according to said first candidate cargo information, and cargo information corresponding to said type of incoming cargo, comprises:

5. The intelligent yard management method of claim 4 wherein said determining cargo information corresponding to said call-in cargo type from said data information comprises:

6. The intelligent yard management method of claim 5 wherein said performing feature extraction according to said text information to determine keywords contained in said text information comprises:

Determining an initial text according to the text information;

7. An intelligent yard management system, characterized in that the intelligent yard management system comprises:

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

the area allocation module is further configured to:

The area allocation module is further configured to:

the area allocation module is further configured to:

comparing the estimated occupation amount with the idle amount to be selected;