CN117196269B

CN117196269B - Intelligent transfer control method based on artificial intelligence and computer program medium

Info

Publication number: CN117196269B
Application number: CN202311472208.9A
Authority: CN
Inventors: 陈瑞; 周小军
Original assignee: SHENZHEN SEAGEN TECHNOLOGY CO LTD
Current assignee: SHENZHEN SEAGEN TECHNOLOGY CO LTD
Priority date: 2023-11-07
Filing date: 2023-11-07
Publication date: 2024-02-20
Anticipated expiration: 2043-11-07
Also published as: CN117196269A

Abstract

The embodiment of the application discloses an intelligent transfer control method and a computer program medium based on artificial intelligence, wherein the method is used for implementing intelligent transfer control for a deployed vertical transfer system, enhancing transfer efficiency of a lifter in the vertical transfer system for transfer task control, and effectively reducing equipment no-load loss caused by no-load movement of the lifter.

Description

Intelligent transfer control method based on artificial intelligence and computer program medium

Technical Field

The application relates to the field of intelligent digital technology and computer technology in industrial control, in particular to an intelligent transfer control method based on artificial intelligence and a computer program medium.

Background

Along with the starting use and iterative evolution of a plurality of automation devices in industrial control, the automation degree is continuously improved, and further, the deployment of the automation devices in the industrial control is also developed from planar layout to spatial layout, so that the transportation in the vertical direction can be realized.

The vertical transport is mostly achieved by means of vertical transport systems in which a hoist with vertical transport functions is used as a structural unit for independent operation, performing the vertical transport of the goods between different floors.

When each elevator of the vertical transfer system completes the vertical transfer of the goods, the empty elevator often stays on the current floor or a designated floor to be dispatched again. That is, the floors where the empty lifts are parked in the vertical transfer system are fixed, there is a reciprocating motion irrelevant to the transfer for the subsequent frequent dispatching, for example, the lifts parked at one floor are dispatched to perform an idle motion, the frequent reciprocating motion is performed between the parked floors and the transfer floors, and a large interval exists between the two floors, which causes no-load loss of equipment and affects the transfer efficiency in the vertical direction.

Disclosure of Invention

The embodiment of the application provides an intelligent transfer control method and a computer program medium based on artificial intelligence, which aim to reduce equipment no-load loss caused by no-load movement from a stop floor to a transfer floor when an idle elevator in a vertical transfer system is scheduled and improve transfer efficiency in the vertical direction.

According to an aspect of the embodiments of the present application, an intelligent transportation control method based on artificial intelligence is disclosed, the method includes:

acquiring a transferring task in a vertical direction, wherein the transferring task indicates a suitable elevator area in a vertical transferring system;

Acquiring transfer data of a lifter scheduled by the task in the lifter region according to the floors indicated by the transfer task and the transfer support number, and storing the transfer data;

when the elevator is idle, the stored transferring data is retrieved according to a currently adapted operation period, wherein the currently adapted operation period comprises a historical operation period and a current previous operation period;

and selecting a floor to stop the elevator according to the maximum destination floor indicated by the transfer data and the floor with the maximum transfer support number.

According to an aspect of the embodiments of the present application, the method obtains the diversion data of the elevator scheduled by the task in the elevator area according to the floor indicated by the diversion task and the diversion support number, and before storing, the method further includes:

and determining a lifting machine area in the vertical transfer system according to the transfer task, and dispatching a lifting machine for the transfer task in the lifting machine area.

According to an aspect of the embodiments of the present application, the obtaining and storing the diversion data of the elevator scheduled by the task in the elevator area according to the floors indicated by the diversion task and the diversion support number includes:

acquiring indicated transfer floors and destination floors from the transfer tasks, and counting the transfer support number from the transfer floors to the destination floors;

Respectively taking the transfer floor and the destination floor as keys, taking the transfer support number as a value, and constructing transfer data, wherein the transfer data corresponds to a scheduled elevator in an elevator area indicated by a transfer task;

and storing the transferring data according to the corresponding hoisting machine and the operation period.

According to an aspect of the embodiment of the present application, the task information of the transferring task is stored in a data block corresponding to a lifter scheduled by the task, and the waiting for the lifter to be idle, according to a currently adapted operation period, retrieves the stored transferring data, including:

judging whether the elevator has a transferring task or not according to the storage of task information on the data blocks corresponding to the elevator, and if not, idling the elevator;

determining a current operation period for the idle elevator, and determining a historical operation period corresponding to the current operation period and a previous operation period by the current operation period;

and respectively calling the transfer data stored by the elevator according to the historical operation time period and the previous operation time period.

According to an aspect of the embodiments of the present application, the selecting a floor to stop the elevator according to the maximum destination floor indicated by the transfer data and the maximum transfer support number floor includes:

Extracting the largest destination floor transferred by the elevator and the floor with the largest transfer support number from the transfer data;

balancing the maximum destination floor and the floor with the maximum transfer support number for the transfer of the elevator to obtain a stop floor;

and controlling the idle elevator to return to rest according to the rest floor.

According to an aspect of the embodiments of the present application, the extracting, from the transferring data, a maximum destination floor transferred by the elevator, and a transfer support maximum floor, includes:

extracting the maximum destination floor and the maximum transfer support number floor transferred by the elevator in the historical operation period according to the historical operation period and the current previous operation period respectively, and extracting the maximum destination floor and the maximum transfer support number floor transferred by the elevator in the previous operation period according to the corresponding transfer data;

and the largest destination floor and the largest transfer support number floor of the historical operation period and the previous operation period are respectively used for obtaining stop floors corresponding to the historical operation period and the previous operation period.

According to an aspect of the embodiment of the present application, the controlling the idle elevator to return to the home position according to the stop floor includes:

Evaluating whether an excessive transfer floor exists in the operation of the elevator according to the transfer data of the previous operation period;

if the operation of the elevator has excessive transfer floors, selecting a stop floor corresponding to the previous operation period;

and controlling the idle hoisting machine to return to stop to a stop floor corresponding to the previous operating period.

According to an aspect of the embodiment of the present application, the controlling the idle elevator according to the stopping floor to stop at the home position further includes:

the operation of the elevator does not have excessive transfer floors, and the stop floors corresponding to the historical operation period and the stop floors corresponding to the previous operation period are balanced to serve as the current stop floors of the elevator;

and controlling the idle provider to return to stop to the current stop floor.

According to an aspect of embodiments of the present application, the method further comprises:

alarming the elevator in the elevator area distributed by the vertical transfer system, and acquiring alarm data and maintenance times of the elevator;

and generating a machine maintenance plan for the elevator according to the alarm data and the maintenance times.

According to an aspect of embodiments of the present application, there is provided a computer program medium having stored thereon computer readable instructions which, when executed by a processor of a computer, cause the computer to perform the method as described above.

In the vertical direction transportation performed in the embodiment of the application, firstly, a transfer task in the vertical direction is acquired, the transfer task indicates a lifting machine area applicable to a vertical transfer system, transfer data of a lifting machine scheduled by the task in the lifting machine area is acquired according to floors indicated by the transfer task and the transfer support number, and the transfer data is stored.

Based on the transfer data stored for the elevator, when the elevator is idle, the stored transfer data is called according to the currently adapted operation time period, such as the historical operation time period consistent in time and the current previous operation time period, and then the elevator is selectively stopped according to the maximum destination floor indicated by the transfer data and the maximum transfer support number floor.

Therefore, the space elevator dynamically determines the current stop floor based on the transfer condition in the operation process of the space elevator, and then the space elevator is returned to stop at the stop floor, so that the space elevator is not limited to fixed and unchangeable settings, the idle elevator stops at the floor which is concentrated and needs to be transferred based on the transfer condition of each floor, the equipment no-load loss caused by no-load movement during dispatching can be effectively reduced, and the transfer efficiency in the vertical direction is improved.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 illustrates a flow chart of an artificial intelligence based intelligent diversion control method in accordance with one embodiment of the present application.

Fig. 2 is a flow chart of a method for obtaining diversion data for a task-scheduled elevator in an elevator area and storing steps based on floors indicated by diversion tasks and diversion brackets, according to the corresponding embodiment of fig. 1.

Fig. 3 is a flow chart of a method for retrieving stored diversion data according to a currently adapted operation period when the elevator is idle, according to the corresponding embodiment of fig. 1.

Fig. 4 is a flow chart depicting steps for selecting a landing lift according to the maximum destination floor indicated by the diversion data and the maximum number of diversion trays according to the corresponding embodiment of fig. 1.

Fig. 5 is a flow chart of a method for controlling the parking steps of an idle elevator according to the parking floor according to the corresponding embodiment of fig. 4.

Fig. 6 is a flow chart illustrating an artificial intelligence based intelligent diversion control method according to another embodiment of the present application.

FIG. 7 is a schematic diagram of a system control architecture according to one embodiment of the present application.

Detailed Description

It should be noted in advance that, in order to enable those skilled in the art to better understand the technical solutions provided by the embodiments of the present application, the embodiments of the present application will be clearly and completely described in terms of implementation manners of the technical solutions provided by the embodiments of the present application with reference to one or more drawings. Moreover, the drawings shown in the embodiments of the present application are only exemplary, and for example, the execution sequence of each step in the drawings may be adaptively adjusted according to the actual application scenario. Furthermore, in the embodiments of the present application, the block diagrams shown in the drawings are merely functional entities, and do not necessarily correspond to physically independent entities. That is, the functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

The embodiment of the application is directed to a vertical transfer system for conveying in the vertical direction, such as warehouse logistics deployment, which is implemented by industrial control, and is used for realizing cargo transfer in the vertical direction. Specifically, the vertical transfer system deploys a plurality of elevator areas, each elevator area is provided with a plurality of elevators, and the elevators are used as independent running equipment to implement reciprocating motion among floors, further execute distributed transfer tasks and finish cargo transfer among floors.

Aiming at a lifter in the vertical transfer system, intelligent layer selection stopping during idle is realized through the control realized by the embodiment of the application.

Referring to fig. 1, fig. 1 illustrates a flow chart of an artificial intelligence based intelligent diversion control method in accordance with an embodiment of the present application. The embodiment of the application provides an intelligent transfer control method based on artificial intelligence, which comprises the following steps:

step S110, acquiring a transfer task in the vertical direction, wherein the transfer task indicates a lifter region applicable to the vertical transfer system;

step S120, acquiring transfer data of a lifter scheduled by a task in a lifter region according to floors indicated by transfer tasks and transfer support numbers, and storing the transfer data;

Step S130, when the elevator is idle, the stored transfer data is retrieved according to the currently adapted operation time period, wherein the currently adapted operation time period comprises a historical operation time period consistent in time and a current previous operation time period;

and step S140, selecting a landing stop elevator according to the maximum destination floor indicated by the transfer data and the floor with the maximum transfer support number.

These steps are described in detail below.

Firstly, for example, in the industrial control, the transportation in the vertical direction, such as the realization of warehouse logistics, is implemented, a code reading transfer system, a vertical transfer system and other systems for transferring goods are all constructed, each system realizes respective functions through installed automation equipment, and the systems are mutually matched to realize the transportation of goods in warehouse logistics.

Further stated, the code reading transfer system is matched with the vertical transfer system, and the code reading transfer system firstly identifies the goods which need to be transferred to the vertical direction from a large amount of goods conveyed by the warehouse logistics so as to generate a transfer task for the vertical transfer system, so that a lifter in the vertical transfer system can execute and complete the transfer task, and the goods can be transferred to a destination floor.

In step S110, a diversion task in the vertical direction is acquired via the deployed transcoding system. The bar gun in the code reading transfer system scans the codes of the goods to obtain the information of the transfer list carried on the goods, and allocates the elevator area and the destination floor according to the information of the transfer list obtained by scanning the codes to generate transfer tasks indicating the transfer floor where the goods are located, the designated elevator area and the destination floor.

As indicated above, the plurality of hoists independently operated in the vertical transfer system for performing the transfer of the cargo in the vertical direction divide a plurality of hoist areas, and each hoist area has a plurality of hoists. Thus, for the elevator area indicated by the diversion task, the allocation of the elevator in this elevator area will be performed for the diversion task.

Scheduling of the elevator in the designated elevator area will be performed for the obtained diversion tasks. In other words, the obtained diversion tasks are assigned to one elevator facing the elevator in the elevator area to designate the elevator to perform the obtained diversion tasks.

That is, in one exemplary embodiment, the step S110 includes: and determining a lifting machine area in the vertical transfer system according to the transfer task, and dispatching the lifting machine for the transfer task in the lifting machine area.

Further, the scheduling of the hoisting machine in the specified hoisting machine area for the transferring task is an intelligent scheduling implemented based on the operation data of each hoisting machine in the specified hoisting machine area, so as to determine an optimal selection from the hoisting machine area, and further, the transferring task is executed by the optimal selection, so that the hoisting operation is completed.

Specifically, as new transfer tasks are generated, elevator scheduling is initiated for a designated elevator area, and at this time, the elevator is digitalized based on operation data of each elevator to obtain a plurality of operation attribute values of the elevator; then constructing an original state matrix for numerically describing the hoisting machine by a plurality of operation attribute values of each hoisting machine in the hoisting machine area; and finally, optimizing the elevator for the transfer task by using the original state matrix of the elevator region appointed by the transfer task.

In order to determine optimal selection of the transfer task in the elevator region, the transfer task is pushed to a large screen on one hand, and an operator's control end is used for reminding the operator of dispatching the elevator appointed by optimal selection to execute the transfer task through large screen display and control end display.

Therefore, with the occurrence of the transfer task, on one hand, the transfer floor and the destination floor corresponding to the transfer task can be determined according to the task details described by the transfer task, and on the other hand, the corresponding elevator scheduling is also performed, so that the elevator is allocated for the transfer task.

Based on this, in step S120, for the generated diversion task, diversion data can be obtained for the elevator scheduled for the diversion task according to the floor indicated by the generated diversion task (e.g., destination floor, diversion floor), and the diversion count obtained for the floor statistics in a set time range (e.g., time range in units of day, time range corresponding to the divided operation period), and the diversion data is stored for the elevator scheduled for the diversion task.

In other words, the diversion data is used to describe details of the elevator performing the lifting job to complete the diversion task. Correspondingly, the diversion data indicates the diversion floor, the destination floor and the diversion torr at which the lifting operation is performed between floors, and the diversion data corresponds solely to the elevator for which the task is scheduled.

And storing the transfer data, namely taking the identification information of the elevator allocated by the task as an index, so as to realize the correspondence of the transfer data and the elevator, and conveniently providing data support for the layer selection stopping of the elevator in the subsequent execution process.

It should be further noted that the floors indicated by the transfer tasks include the transfer floor as well as the destination floor. The transfer floor is the floor where the goods are located in the transfer task, and the goods for implementing the transfer task are transferred from the transfer floor to the destination floor in the lifting operation implemented by the allocated lifting machine. And updating the transfer data corresponding to the dispatching elevator according to the designated floor and the transfer support data related to the lifting operation under the transfer task, namely, the transfer support number corresponding to the designated floor in the transfer data.

The stored transfer data includes, for example, floors and transfer pallets corresponding to the floors, to describe the transfer of the elevator to the floors during execution of the lifting operation. The transfer floor and the destination floor in the involved floors are both indexes, and the corresponding transfer support numbers are stored, namely, as follows:

transfer floor V [ L ] _{Floor system} ]=S _{Number of holders} ；

Destination floor W [ L ] _{Destination floor} ]=S _{Number of holders} ；

In the storage of transfer data, to transfer floors V [ L ] _{Floor system} ]For key value, store the corresponding transfer support number S _{Number of holders} The method comprises the steps of carrying out a first treatment on the surface of the With destination floor W [ L ] _{Destination floor} ]For key value, store the corresponding transfer support number S _{Number of holders} 。

The transfer floors and the destination floors involved in the lifting operation performed by the elevator store the corresponding transfer support numbers in the transfer data. And the like, as the lifting operation is carried out by the lifting machine for completing the transferring task, the number of the transferring support from the transferring floor to the destination floor is continuously changed, so that the transferring support number is changed along with the updating of the transferring floor and the destination floor, and the transferring data corresponding to the lifting machine is obtained.

In summary, in the operation of the elevator, along with the generation of the transferring task and the lifting operation performed for completing the transferring task, the transferring floor and the destination floor related to the operation of the elevator are obtained, and the transferring support number from the transferring floor to the destination floor in the lifting operation is counted, so that the transferring data is continuously updated and stored.

Referring also to fig. 2, fig. 2 is a flow chart of a method for obtaining and storing diversion data of a task-scheduled elevator in an elevator area according to floors indicated by diversion tasks and diversion trays according to the corresponding embodiment of fig. 1.

According to the floor indicated by the transferring task and the transferring support number, transferring data of the elevator scheduled by the task in the lifting area are obtained and stored, and the step S120 includes:

step S121, acquiring indicated transfer floors and destination floors from a transfer task, and counting transfer support numbers from the transfer floors to the destination floors;

step S122, respectively taking a transfer floor and a destination floor as keys, taking a transfer support number as a value, and constructing transfer data, wherein the transfer data corresponds to a scheduled elevator in an elevator area indicated by a transfer task;

step S123, storing the transferring data according to the corresponding elevator and the operation time period.

These steps are described in detail below.

In step S121, for the transfer task obtained by the code reading transfer system, the transfer floor where the goods are required to be transferred is indicated, and the destination floor to be transferred, so that the number of trays carried by the corresponding elevator in the process of performing the lifting operation for completing the transfer task, that is, the number of trays carried from the transfer floor where the goods are located to the destination floor for performing the transfer task, which is the transfer number of the transfer floor to the destination floor, can be obtained according to the obtained transfer task.

Each transfer task is accomplished by execution of a lifting job. Therefore, for the transferring task, the number of trays carried in a lifting operation which is statistically executed is recorded, and the obtained number of trays is further used as the transferring number to record the index value of which the corresponding transferring floor and the destination floor are key values.

It should be noted that, the one-time lifting operation of the elevator may correspond to the completion of the transfer task or the completion of two or more transfer tasks, and therefore, when the transfer floor and the destination floor indicated by the transfer task are obtained, it is determined in step S122 whether or not there are key values corresponding to the obtained transfer floor and destination floor, respectively, in the transfer data corresponding to the elevator, and if there is no key value, it is necessary to create a key value with the obtained transfer floor and destination floor, respectively.

For the number of pallets carried in the lifting operation, namely the transfer pallet number, the obtained transfer floors and the destination floors are used as key indexes for mapping and storing the transfer pallet number.

In step S122, the floors involved in the operation and the transfer support numbers on the floors are recorded for each elevator according to the divided operation time periods, so as to accurately describe the reciprocating lifting motion and the transfer strength of the elevator, and further enable the following intelligent control based on the reciprocating lifting motion to be adapted to the accurate adjustment of the performed reciprocating lifting motion.

In step S123, the diversion data obtained based on the diversion task corresponds to a specific elevator and a certain operation period in which the elevator is operated, and thus the diversion data will be stored in accordance with the corresponding elevator and operation period.

The operating period of the hoisting machine indicates in time the execution time of the hoisting job described by the corresponding transfer data, such as the date on which the hoisting job was executed and the period of time to which this date belongs. Therefore, with the operation of the elevator, the operation period corresponding to the transfer data includes the historical operation period and the operation period divided by the current day.

Correspondingly, the diversion data stored corresponding to the operation period includes diversion data corresponding to the historical operation period (this is the historical data), and diversion data corresponding to the current divided operation period, i.e., diversion data of the current preceding operation period.

Therefore, historical data and current generated data can be provided for control of the elevator, and operation of the elevator can be accurately described based on the historical operation dimension and the current operation dimension.

With the new increase of transfer tasks in the vertical direction, transfer data is deposited for this purpose corresponding to the scheduled elevator for retrieval by the scheduled elevator when it is idle.

In step S130, when the elevator is in idle state, firstly, the elevator is provided with a certain concentration degree by retrieving the historical data and the diversion data of the current previous operation period from the stored diversion data, thereby determining the floor with a certain concentration degree by evaluating the historical diversion condition and the current diversion condition of the elevator.

The transferred historical data is the transfer data of the historical operation period with the time consistent with the current operation period, for example, the transfer data of the past year in the time range with the current operation period, so as to describe the historical transfer condition of the elevator.

The current preceding operation period refers to at least one operation period preceding the current operation period among the divided operation periods of the current day. It should be understood that the current, preceding operating period and the operating period in which the hoisting machine is currently located are different operating periods divided on the same day. The current preceding operating period is at least one preceding operating period ending with respect to the current operating period of the hoisting machine.

Transfer data retrieval is performed in the time dimension based on the currently adapted historical operating period and the preceding operating period in order to obtain the operating condition of the hoisting machine in the past for a longer time and at the current time.

The elevator has no transfer task to be executed, and then the transfer is idle, which is determined by judging whether the transfer task distributed by the elevator exists or not.

Referring also to fig. 3, fig. 3 is a flowchart of a method for retrieving stored diversion data according to a currently adapted operation period when a to-be-hoister is idle, according to the corresponding embodiment of fig. 1.

The step S130 of retrieving stored transferring data according to the currently adapted operation period when the elevator is idle, includes:

step S131, judging whether the elevator still has a transferring task or not according to the storage of task information on the data blocks in the data blocks corresponding to the elevator, and if not, idling the elevator;

step S132, determining a current operation period for the idle hoisting machine, and determining a historical operation period corresponding to the current operation period and a previous operation period by the current operation period;

and step S133, respectively calling the transfer data stored by the elevator according to the historical operation period and the previous operation period.

These steps are described in detail below.

Firstly, it should be noted that the task information of the transferring task is stored in the data block corresponding to the elevator scheduled by the task.

The bar gun of the code reading transfer system has task information corresponding to the transfer task acquired by the code scanning of the goods, and the task information is detailed information of the transfer task. The elevator for transferring task scheduling confirms that the elevator still has transferring tasks according to the read task information, and further executes lifting operation according to the task information.

The aforementioned diversion data obtained and stored for precipitation corresponds to the elevator, and similarly, the task information corresponds to the elevator to which the task is scheduled.

In step S131, the task information stored in blocks according to the elevator is stored in the data block corresponding to the elevator. Therefore, for the elevator which finishes the lifting operation when one transferring task is finished currently, judging whether task information of the incomplete transferring task exists in the corresponding data block of the elevator, and under the condition that no transferring task exists, the elevator is in an idle state.

Further, in the data block corresponding to the hoister, task information corresponding to time sequences obtained according to tasks is stored in the created message queue. And when the lifting operation currently executed by the lifting machine is finished, the task information is taken out from the message queue for controlling the execution of the next lifting operation, and the transferring task of the taken-out task information is completed.

Similarly, when the transferring task of the elevator is completed, the message queue for storing the task information is empty. And correspondingly, when the message queue is empty, the elevator does not have a transferring task and is switched to be idle.

In step S132, the operation period in which the elevator is shifted to the idle state, that is, the current operation period is determined. For example, several operation periods are divided in a time length in a unit of day, a current operation period may be determined according to a time corresponding to when the transfer is idle, and then a historical operation period and a previous operation period corresponding to the current operation period are determined by the determined current operation period.

It should be understood that the preceding operation period refers to an operation period that is previous to the current operation period, and thus, the preceding operation period may be one operation period or may be more than two operation periods, which is not limited herein.

Accordingly, the historical operation period is for a certain time range in the past, and according to the configuration, the historical operation period can be an operation period consistent with the current operation period in the divided period but in the past, or can be all operation time of depositing transfer data in the past, and the historical operation period is not limited herein, and can be flexibly adjusted according to the operation requirement and effect of the elevator.

After locating the historical operation period and the previous operation period based on the current operation period for turning into the idle elevator, in step S133, the diversion data stored in the elevator are respectively retrieved according to the historical operation period and the previous operation period obtained by locating in time.

As noted previously, as the vertical diversion tasks are generated, the elevator scheduled for the task correspondingly stores corresponding diversion data, and the diversion data stored corresponding to the elevator scheduled for the task also corresponds to the operational period in which the elevator performs the corresponding diversion task.

Specifically, for the stored diversion data, the corresponding operation period is the previous operation period relative to the operation of the elevator. Over time, the preceding operating period gradually becomes a history, and then transitions to a history operating period.

Based on this, the transferring data corresponding to the elevator and the historical operating period can be retrieved for the elevator that is turned into idle in the execution of step S133 according to the historical operating period and the previous operating period, and the transferring data corresponding to the elevator and the previous operating period.

Under the action of transfer data corresponding to the preceding operation period, the transfer floors, the destination floors and the transfer support numbers corresponding to the floors of a plurality of transfer tasks of the corresponding elevator in the current operation period, wherein the lifting operation is executed to complete the preceding operation period, and the transfer floors and the destination floors with higher concentration on the pallet carrying of cargoes in the preceding operation period are confirmed.

Transfer data corresponding to a hoist and a preceding operating period describe a transfer floor and a destination floor where the hoist performs a lifting operation in the preceding operating period, and the number of transfer pallets (transfer number) of each floor (transfer floor and destination floor).

Under the action of the transfer data corresponding to the historical operation time period, the transfer floor, the destination floor and the transfer support number of the floor where the corresponding elevator performs the lifting operation in the past can be described, so that the higher concentration degree in the past tray carrying of cargoes can be confirmed based on the transfer floor and the destination floor where more trays are carried.

The transfer data corresponding to the elevator and the historic operation period describes the transfer floor and the destination floor on which the elevator performs the lifting operation in the past period of time, and the number of transfer pallets (transfer number) for each floor (transfer floor and destination floor).

Therefore, once the transferring task of the elevator is empty, the elevator is transferred to be idle, and corresponding transferring data are transferred, so that data are provided for the elevator layer selecting and stopping which is executed immediately, and further the efficiency and accuracy of intelligent layer selecting and stopping of the elevator are guaranteed.

Referring to fig. 4, fig. 4 is a flowchart describing steps of selecting a landing stop elevator according to the maximum destination floor indicated by the transfer data and the maximum number of transfer floors shown in the corresponding embodiment of fig. 1.

According to the maximum destination floor indicated according to the transfer data and the maximum transfer support number floor, the step S140 of selecting the floor to stop the elevator comprises the following steps:

step S141, extracting the largest destination floor transferred by the elevator and the floor with the largest transfer support number from the transfer data;

step S142, balancing the maximum destination floor and the most transfer support floors of the elevator to obtain a stop floor;

and step S143, controlling the idle elevator to return to rest according to the rest floor.

These two steps are described in detail below.

In step S141, the maximum destination floor is the destination floor corresponding to the maximum transfer support number in the transferred transfer data, and the maximum transfer support number is the transfer floor corresponding to the maximum transfer support number in the transferred transfer data.

As indicated above, the transfer data of the elevator during an operation period records the transfer support number corresponding to the transfer floor and the transfer support number corresponding to the destination floor, and the transfer floor and the destination floor involved in the elevator performing the lifting operation during the operation period are recorded correspondingly.

Thus, in the retrieved transfer data, the maximum transfer allowance can be determined for the existing transfer floors to locate the transfer allowance maximum floor, and the maximum transfer allowance can be determined for the existing destination floors to locate the maximum destination floor.

And further by way of illustration, the retrieved diversion data may include diversion data corresponding to a historical operational period and diversion data for a prior operational period, such that a maximum destination floor and a maximum number of diversion floors are obtained from both diversion data corresponding to the historical operational period and diversion data for the prior operational period.

Wherein the maximum destination floor transferred by the elevator corresponding to the historical operating period indicates the destination floor at which the elevator has carried the most pallets during the longer historical time of the historical operating period; the most number of transfer floors of the elevator corresponding to the historic operation period indicates the transfer floor at which the elevator transfers the most number of trays during the longer historic time of the historic operation period.

The maximum destination floor transferred by the elevator in the prior operating period and the maximum floor transferred by the elevator are similar to the maximum destination floor.

In step S142, the maximum destination floor and the maximum number of transfer floors indicate the destination floor and the transfer floor to which the elevator intensively reciprocates within the corresponding operation period. That is, the elevator moves more floors from the maximum number of transfer floors to the maximum destination floor in the corresponding operation period.

At this point the floor at which the elevator stops will be determined by balancing the maximum destination floor with the most number of transfer floors. By way of example, the balancing of the maximum destination floor and the maximum transfer support number can be determined by averaging the two floors, so that the stopped floor can be as close to the maximum destination floor and the maximum transfer support number as possible, and the execution of the subsequent lifting operation is also close to the maximum destination floor and the maximum transfer support number with a high probability, so that the efficiency of the elevator can be enhanced.

In step S143, the idle elevator is controlled to return to the stop floor obtained in step S142 to stop for waiting for a new transfer task.

In one embodiment, the present application provides a step S141 of extracting a maximum destination floor for elevator transfer from transfer data, and a maximum number of floors for transfer, including:

according to the historical operation time period and the current prior operation time period, the maximum destination floor transferred by the elevator in the historical operation time period and the maximum transfer support number floor are extracted from the corresponding transfer data, and the maximum destination floor transferred by the elevator in the prior operation time period and the maximum transfer support number floor are extracted;

The largest destination floor and the largest transfer support number floor of the historical operation period and the previous operation period are respectively used for obtaining stop floors corresponding to the historical operation period and the previous operation period.

Correspondingly, referring to fig. 5, fig. 5 is a flowchart of a method for controlling idle elevator homing stop steps according to stop floors according to the corresponding embodiment of fig. 4.

The step S143 of controlling the idle elevator to return to rest according to the rest floor provided by the embodiment of the present application includes:

step S1431, evaluating whether the operation of the elevator has excessive transfer floors according to transfer data of a previous operation period;

step S1432, if the elevator has excessive transfer floors, selecting a stop floor corresponding to a previous operation period;

in step S1433, the free elevator is controlled to home to a stop floor corresponding to the previous operating period.

For implementing the three steps of step S143, it should be noted that, firstly, based on the execution of step S142, the stopping floor corresponding to the historical operation period and the stopping floor corresponding to the previous operation period are obtained, and at this time, it is required to evaluate whether the number of pallets continuously transferred by the elevator at each floor is excessive, that is, whether there is an excessive transferring floor, so that the stopping floor corresponding to the historical operation period or the previous operation period is selected to perform the current homing stopping of the elevator based on this.

In the execution of step S142, the maximum destination floor and the maximum number of transfer support floors transferred by the elevator in the balanced historical operation period obtain the stop floor corresponding to the historical operation period, and correspondingly, the maximum destination floor and the maximum number of transfer support floors transferred by the elevator in the balanced previous operation period obtain the stop floor corresponding to the previous operation period.

So far, it can be clearly determined, by referring to the historical operation and the current operation condition of the elevator, two optional stopping floors are provided for the elevator which is switched into the idle state, and at the moment, the most applicable stopping floor is further selected according to the transferring condition of the elevator in the previous operation period.

For step S1431, the number N of excessive transfer trays is preset, in other words, the number N of excessive transfer trays may be a preset constant, and the floor where the number of transfer trays exceeds the number of excessive transfer trays is the excessive transfer floor. As indicated above, the transfer data of the elevator in the preceding operating period records the transfer floors and destination floors of the lifting operation performed in the preceding operating period, and the transfer numbers respectively correspond to the transfer floors and destination floors. Therefore, traversing the transfer data of the previous operation period, judging whether the recorded transfer support number is larger than the excessive transfer support number, if so, indicating that the elevator operates in the previous operation period, and if not, indicating that the elevator does not operate in the previous operation period.

In step S1432, for the elevator having an excessive transfer floor, a stop floor corresponding to the preceding operating period is selected from the two optional stop floors calculated in step S142.

It should be understood that, in the diversion data of the preceding operation period, there is a floor with an excessive diversion support number, which means that the lifting operation of the elevator in the preceding operation period is concentrated on the floor with an excessive diversion support number, and the possibility that the following operation period extends under the preceding operation period and the diversion situation is very high, and the floor on which the idle elevator resumes the execution of the lifting operation is likely to be concentrated on the floor with an excessive diversion support number, so that the stop floor corresponding to the preceding operation period is selected in the execution of step S1432.

The stop floor corresponding to the previous operation period is the result of balancing the maximum destination floor and the maximum transfer support number floor of the previous operation period, so that the selection of the stop floor corresponding to the previous operation period can be suitable for the operation of the elevator, the distance from the stop floor to the transfer floor is shortened with high probability, and the subsequent cargo transfer efficiency is improved.

In step S1433, as the elevator operation occurs with an excessive number of transfer pallets, the transfer free elevator stops the controlled homing to the stop floor corresponding to the preceding operating period.

In another exemplary embodiment of the present application, the performing of step S143 further includes:

the operation of the elevator does not have excessive transfer floors, and the stop floors corresponding to the historical operation period and the stop floors corresponding to the previous operation period are balanced to serve as the current stop floors of the elevator, so that the idle elevator is controlled to stop to the current stop floors in a homing mode.

That is, there is no excessive operation in the operation of the elevator in the previous operation period, no excessive transfer floor, that is, the transfer support number of each floor is not greater than the excessive transfer support number, at this time, the stopping floor corresponding to the historical operation period and the stopping floor corresponding to the previous operation period need to be integrated, that is, the middle floor between the two is taken as the current stopping floor of the elevator.

Therefore, through the embodiment, the stopping floors can be dynamically selected for each elevator in each elevator area of the vertical transfer system, so that the transfer efficiency of the elevators is continuously enhanced.

It should be further noted that for elevator scheduling of transfer tasks in a given elevator area, it is unavoidable to determine the optimal selection of elevators from the given elevator area, whereby a priority elevator can be controlled to complete transfer tasks until idle.

Operational data is collected for all hoists in the hoist area as they operate and stored in the business database. The operational data collected and stored for each hoist describes the dynamics of the operation of the hoist.

By way of example, the operational data includes several attributes, such as number of alarms in a hoist month, number of malfunctions in a hoist month, downtime in a hoist month, number of transfers in a hoist month, execution time of operation in a hoist month, number of real-time transfers in a hoist hour, and average time to take out of the hold to take away in a hoist hour.

And constructing an original state matrix for numerically describing operation dynamics of the hoisting machine according to the operation data of each hoisting machine in the hoisting machine area, and determining optimal selection of the hoisting machine in the hoisting machine area for the transferring task according to the original state matrix.

For example, an elevator area is provided with m elevators, each elevator has n attributes in the operation data, the attribute values of the elevators form an original state matrix, and the obtained original state matrix has the following formula:

，

wherein,the value representation of the nth attribute of the mth elevator in the original state matrix R is the attribute value.

Thus, the scheduled lifts in the lift area are determined for the raw state matrix. Specifically, the numerical values in the original state matrix are subjected to vectorization, and the dimensionality is converted into dimensionless values, so that the homodromous description matrix is obtained.

Specifically, for the larger and more optimal attribute in the original state matrix R, the vectorization is performed by the following formula, namely:

，

wherein,。/>is->Minimum value->Is->Maximum value of>Is->Is a median of (a).

It will be appreciated that for attributes that are numerically larger and better, both equalization and data drift need to be avoided, and therefore a median need to be employed to enhance the data effect.

For attributes that are smaller and more optimal in data, vectorization is performed by the following formula:

，

wherein,，/>is->Average value of (2), thus->And (3) the influence of the abnormal data is reduced by avoiding the occurrence of uncertain abnormality of the data under the action of the average value of the data.

Similarly, the original state data can be vectorized into a homodromous description matrix, namely:

，

the advantage and the disadvantage of the attribute values in the homodromous description matrix relative to a certain attribute are homodromous changes, namely, the larger and the better the attribute values in the homodromous description matrix are, the smaller and the worse the attribute values are.

Extracting optimal attribute values from the homodromous description matrix for each attribute orderI.e. +.>Correspondingly, the worst attribute value is also extracted from the homodromous description matrix for each attribute order +.>I.e.Wherein->，/>。

The described optimal elevator is obtained by extracting the optimal attribute valueAnd worst elevator + ->。

So far, the distance of each elevator in the elevator area relative to the optimal elevator and the worst elevator can be calculated respectively, wherein,

the distance of the elevator relative to the optimal elevator is shown as follows:

，

the distance of the elevator relative to the worst elevator is shown as follows:

，

and then based on the minimum distance of the relatively optimal elevatorAnd maximum distance +.>Calculating the correlation between the elevator and the optimal elevator with respect to the distance between the elevator and the optimal elevator and the distance between the elevator and the optimal elevator, wherein the correlation is the close value +.>The method comprises the following steps:

，

the correlation between the elevator and the optimal elevator, which is obtained by the characterization and description calculation of the distance, is smaller in value, so that the elevator is more correlated with the optimal elevator, and the elevator and the optimal elevator are more closely related.

The calculated correlations, i.e., the affinity values, of each hoist with respect to the optimal hoist are ranked to determine the hoist corresponding to the smallest value that will be the hoist for scheduling the diversion task.

For example, a vertical transfer system distributes 8 elevator zones, with 6 elevator zones each for selection. The attributes in the operation data output by the elevator comprise the alarm times, the shutdown time, the transfer times, the transfer time, the average transfer times and the average time from the drawing to the taking, and the concrete table is as follows:

based on this, the resulting raw state matrix is constructed as follows:

，

the larger the number of times of transferring per month and the time of transferring per month, the better the number of times of transferring per hour, and the smaller the number of times of alarming per month, the number of times of stopping per month, the time of stopping per month and the average time from dragging to taking away per hour, the better the smaller the number of times of transferring per month and the time of transferring per month, based on which, the same vector is carried out, and the obtained homodromous description matrix is as follows:

，

at this time, the obtained optimal elevatorAnd worst elevator + ->。

Calculating the distance of the elevator relative to the optimal elevator

Distance of elevator relative to worst elevator

Thereby obtaining a minimum distance of the relatively optimal elevatorMaximum distance relative to worst elevator。

Thereby calculating the affinity value as:

。

up to this point, it can be seen that the elevator with elevator number A1 is the best choice.

In one embodiment of the application, the attribute which is influenced externally in the operation data is controlled by the external environment to obtain the associated influence factor, and the obtained associated influence factor updates the corresponding attribute value in the original state matrix.

It should be understood that, the operation data of each elevator includes a plurality of externally affected attributes, and the externally affected attributes tend to fluctuate due to the external environment, and are further different from the normal values in value, so that the attribute values distributed by the constructed original state matrix are controlled by the external environment to implement local correction and update, so as to ensure the accuracy of the elevator described by the matrix.

The operational data of the hoisting machine, which is used for describing the safety and/or the work, is illustratively an externally influenced property. For example, the attributes describing security include the number of alarms, the number of outages, and the time of outages.

The critical hardware of the elevator for determining the number of alarming and the number of shutdown times includes but is not limited to a main shaft, a roller, a gear, a shell, a belt and a chain, and the critical hardware is externally influenced by the temperature, the humidity and the like of the external environment, for example, the elevator is aged due to high temperature, the influence of the high temperature on the elevator is larger than that of low temperature, for example, the corrosion of the elevator is caused due to the high humidity, so that the critical hardware of the elevator generates more alarming times and more shutdown times.

Based on the external influence indexes such as temperature and humidity, the corresponding relevant influence factors exist. In other words, according to the external influence index, the associated influence factor can be obtained for the attribute value, and then the corresponding attribute value in the original state matrix is updated by the associated influence factor.

For example, for the critical equipment, the working temperature is 30-40 degrees, if exceeding, the relevant influence factor is 1.5, if being lower, and the relevant influence factor is 1.2. As another example, the key device has a suitable operating humidity of 40% -60%, if exceeding, the associated influence factor is 1.6, if below, the associated influence factor is 1.05.

The motor and other electrical components determine the downtime of the elevator, and dust from the external environment can affect the motor and other electrical components, such as electrical shorts, thereby resulting in downtime of the elevator. For example, dust in a normal external environment is 4 mg/cubic meter to 6 mg/cubic meter, such as greater than 6 mg/cubic meter, with an associated impact factor of 1.1, such as less than 4 mg/cubic meter, with an associated impact factor of 1.

The attributes describing the work in the operation data include the number of transfers, the transfer time, etc. Wherein the number of transfers is affected by the type of weight carried and the weight of the weight carried; when the load type is a refrigerated article in a frozen article, the corresponding association influence factor is 1.1, and when the load type is a frozen article, the corresponding association influence factor is 1.2.

The transferring time is influenced by the weight of the heavy object, wherein when the weight of the heavy object is between 81 and 100 percent of the maximum weight, the corresponding association influence factor is 1.2; when the weight of the load is 65% -80% of the maximum load, the corresponding association influence factor is 1.1, and the other is 1.

It will be appreciated that carrying an excessively heavy item, running for a long period of time, will cause the elevator to become strained and thus affect its operation.

Thus, for the original state matrix, the attribute value of each elevator acquires the associated influence factor based on the external influence index existing in the external environment, and if at least one associated influence factor exists in one attribute value, the attribute value is corrected by applying the obtained at least one associated influence factor, and the like, so as to complete partial or even complete correction and update of the constructed original state matrix.

Specifically, the correction update of the attribute value correction by the at least one associated influence factor refers to multiplication of the attribute value and the at least one associated influence factor, and the obtained product is the numerical value of the attribute value correction update.

Therefore, the method is suitable for the safety and the working condition of the elevator, and realizes the correction and the update of the original state matrix constructed based on the operation data, thereby enhancing and guaranteeing the accuracy of intelligent scheduling of the elevator.

In another embodiment of the present application, as the scheduling of the elevators in the elevator area proceeds, when the minimum value of the values of the affinities of each elevator calculated for the transferring task is more than two, the elevator corresponding to the minimum value of the affinities is more than two, and at this time, the two or more elevators need to be selected secondarily to implement the scheduling of one elevator for the transferring task.

Specifically, more than two elevators corresponding to the minimum close value are obtained, elevator numbers are obtained, and an analysis group is constructed by obtaining the obtained more than two elevator numbers and a plurality of attribute values of the target attribute in a specified time range under the elevator numbers; and then removing noise from the analysis group on the basis of the median value for a plurality of attribute values of each elevator number, obtaining a deviation value from the attribute values of the removed noise on the basis of the corresponding average value, and averaging the deviation values to obtain the stability coefficient of the corresponding elevator.

And comparing the obtained stability coefficients, wherein the elevator corresponding to the minimum stability coefficient is the optimal elevator currently scheduled for the transferring task.

It should be noted that, if at least two or more minimum stability coefficients with the same value exist in the obtained stability coefficients, in other words, two or more lifts corresponding to the minimum stability coefficients are compared, at this time, the lift with the closest distance is positioned according to the distance between the goods of the transfer task and the lift, which is the optimal lift.

Specifically, for the analysis group constructed, each elevator number corresponds to a number of attribute values of the target attribute in the specified time range. For the operation of the elevator, the target attribute value is the alarm frequency, and the stability of the corresponding elevator in the appointed time range is measured with high reliability and high accuracy through the alarm frequency distribution in the appointed time range.

In the analysis group, the attribute values corresponding to the elevator numbers form a series of arrays from large to small, namely, the following table shows:

where Wmax is the largest attribute value, wmax-1 is the second largest attribute value, wmax-2 is the third largest attribute value, and so on, wmid is the median, wmin+2 is the third smallest attribute value, wmin+1 is the second smallest attribute value, wmin is the smallest attribute value.

It should be appreciated that when the columns are even, the average of the two attribute values located in the middle will be taken as the median.

And determining the median of the number series corresponding to each elevator number in the analysis group, and identifying the noise in the corresponding number series according to the median so as to remove the noise.

And (3) carrying out difference between each attribute value in the pair number sequence and the median to obtain a corresponding difference value, judging whether the difference value is in a preset range at the moment, if the difference value exceeds the preset range, determining that the corresponding attribute value is noise, and eliminating the attribute value.

Further, for a series of attribute values constructed by a large-to-small arrangement in value, in noise identification, first, the first and second attribute values are differed from each other by the median number, and if the obtained difference is within a preset range, the difference is not noisy, so that it is no longer necessary to advance to neighboring attribute value identification noise.

If the obtained difference is not in the preset range, the corresponding attribute value is indicated to be noise, the noise is required to be removed, the difference between the adjacent attribute value and the median is calculated, and the like, until the calculated difference is in the preset range, the process is stopped.

By carrying out the orderly calculation, the noise is ensured to be removed one by one, and the calculation amount is reduced.

The corresponding number series of each elevator number constitutes a new number series after noise is removed, so that the stability coefficient of the elevator needs to be determined for the new number series based on the corresponding average value. Specifically, a mean value is calculated for the attribute values in the new sequence, and then each attribute value in the new sequence is differenced from the mean value to obtain a deviation value, and the obtained deviation value constitutes a deviation sequence z= (Z1, Z2, Z3, … …, zn).

So far, calculating a stability factor phi=p/n; p= i，i=1,2...n。

At this time, the elevator corresponding to the minimum stability coefficient is the optimal choice.

Still further referring to fig. 6, fig. 6 is a flowchart illustrating an artificial intelligence based intelligent diversion control method according to another embodiment of the present application.

The intelligent transportation control method based on artificial intelligence provided by another embodiment of the application further comprises the following steps:

step S310, alarming the elevator in the elevator area distributed by the vertical transfer system, and acquiring alarming data and maintenance times of the elevator;

step S320, generating a machine maintenance plan for the elevator according to the alarming times and the maintenance times.

These two steps are described in detail below.

In step S310, for each elevator in each elevator area distributed, the number of alarms and the number of repairs will be extracted from the respective operation data in response to the alarms occurring. It should be appreciated that the collection of data such as the number of alarms performed, the number of repairs, etc. is not limited to operational data, but may be obtained from data sources such as maintenance records, machine logs, etc. of the elevator.

In step S320, the problem with high occurrence rate is analyzed and located for the elevator based on the alarm times and the maintenance times, the problem which is about to occur to the elevator due to the high occurrence rate is identified, and then the corresponding machine maintenance calculation is generated.

On the one hand, the operation trend of the elevator and the correlation between the alarming times and the maintenance times under the operation trend are obtained through the cross analysis and the correlation analysis respectively; on the other hand, the upcoming problem and time are determined by the regression analysis and the time series analysis.

Finally, according to the determined problems and time, determining when to carry out maintenance and what preventive maintenance is carried out, and outputting a machine maintenance plan of the elevator.

Further, for cross analysis, cross analysis is performed on the number of alarms, the number of maintenance times, even the corresponding alarm types, the alarm reasons and the number of tasks to be executed to determine the relation between every two, so as to obtain the operation trend of the elevator.

The correlation analysis is to calculate the correlation between the alarming times and the maintenance times by using the correlation coefficient, namely, the correlation between the alarming times and the maintenance times under an operation trend is obtained.

Regression analysis based thereon rapidly identifies upcoming problems with respect to correlation between alarm times and maintenance times for predicted operational trends, it being understood that the identified problems have corresponding maintenance measures.

Finally, the relation between the alarming times and the maintenance times is determined through the time sequence analysis, and the time relevance is further determined when maintenance is carried out and when preventive maintenance is carried out, so that the possibility of the identified impending problem is reduced to the greatest extent.

Corresponding maintenance measures are determined according to the determined problems and time, and then a machine maintenance plan of the hoisting machine is output.

To this end, a series of maintenance steps may be determined for a particular problem and time, such as pre-updating the wear parts or relubricating the machine at a specified time.

Therefore, the maintenance plan can be implemented before the problem is solved by accurately identifying the problem, the efficiency is improved, the cost is reduced, the safety is improved, the intervention of manual operation and maintenance is not needed, the current situations of high system complex coupling degree, high risk and the like of face operation are avoided, and the problem of the elevator is avoided.

The specific implementation of the vertical transport system is set forth below with respect to its system control architecture in the implementation of an intelligent digital stream.

Referring also to fig. 7, fig. 7 is a schematic diagram of a system control architecture according to an embodiment of the present application. In the system control architecture shown in fig. 7, the vertical transfer system itself is equipped with a conveying device, i.e., a hoist, in each hoist area, and a PLC (Programmable Logic Controller, programmable controller) system is mounted on the hoist to realize a control system and a TCP communication system.

In addition to the hoist, the vertical transfer system further comprises a WCS (Warehouse Control System ) transfer system and a middle station system, wherein the WCS transfer system interacts with the TCP communication system of the hoist to obtain operation data of the hoist, and interacts with the hoist control system to control the hoist.

In the WCS transfer system, under the control of the main thread, interaction with the PCL system is realized through the KepServer client and the Tcp server thread, and on the other hand, it can be understood that task information of a transfer task obtained through bar gun code scanning is transmitted to the WCS transfer system through the bar gun code reading transfer system, and further data is received and sent through the MQ to write into a corresponding message queue for reading and controlling to execute the corresponding transfer task.

The WCS transfer system is provided with a log system to provide historical data for analysis and calculation of a main thread, and storage records of floors and transfer support numbers in operation data are realized through the progress of Sqlite data storage.

Therefore, the WCS transfer system obtains the optimal selection determined for the transfer task in the elevator area, and further, the reporting of corresponding information is realized through RabiitMQ communication with the middle platform system, and the middle platform system performs data processing and report statistics required by the execution based on the reporting, so that visual presentation and control are realized through the large screen and the control end.

Those skilled in the art will appreciate that implementing all or part of the above-described embodiment method may be accomplished by way of a computer program to instruct related hardware, and the computer program may be stored in a storage medium, and the computer program may include the above-described embodiment method when executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.

It should be understood that the foregoing disclosure of various embodiments is only a partial example of the present application, and it is not intended to limit the scope of the claims of the present application. It should be further noted that, when the above embodiments of the present application are applied to specific products or technologies, if passenger related data needs to be obtained, passenger permission or consent needs to be obtained, and the collection, use and processing of the related data needs to comply with relevant laws and regulations and standards of relevant countries and regions.

Claims

1. An intelligent transportation control method based on artificial intelligence, wherein the method performs intelligent transportation control on a deployed vertical transportation system, the method comprising:

acquiring a transferring task in a vertical direction, wherein the transferring task indicates a lifter region applicable to the vertical transferring system;

when the elevator is idle, the stored transfer data is retrieved according to a currently adapted operation period, wherein the currently adapted operation period comprises a historical operation period and a current previous operation period, the historical operation period is an operation period which is consistent with the currently adapted operation period in the divided period but is the past time, and the previous operation period is an operation period which is previous to the currently adapted operation period;

according to the maximum destination floor indicated by the transfer data and the floor with the maximum transfer support number, selecting a floor to stop the elevator;

the floor selection stops the elevator according to the maximum destination floor indicated by the transfer data and the maximum transfer support number floor, and comprises the following steps:

the maximum destination floor and the floor with the maximum transfer support number are averaged for the transfer of the elevator, and a stop floor is obtained;

2. The method of claim 1, wherein the obtaining the diversion data of the elevator scheduled for the task in the elevator area based on the floors indicated by the diversion tasks and the diversion brackets and storing the diversion data further comprises:

3. The method of claim 1, wherein the obtaining and storing diversion data of the elevator scheduled for the task in the elevator area based on the floors indicated by the diversion tasks and the diversion brackets comprises:

4. The method of claim 1, wherein the task information of the diversion task is stored in a data block corresponding to a hoist scheduled by the task, and the retrieving the stored diversion data according to the currently adapted operation period when the hoist is idle comprises:

5. The method of claim 1, wherein the extracting the maximum destination floor for the elevator transfer from the transfer data and the maximum number of transfer floors comprises:

6. The method of claim 5, wherein said controlling the parking of the idle elevator according to the parking floor comprises:

7. The method of claim 6, wherein said controlling the idle elevator homing stops according to the stop floor further comprises:

the operation of the elevator does not have excessive transfer floors, the stop floors corresponding to the historical operation period and the stop floors corresponding to the previous operation period, and the intermediate floors between the two are taken as the current stop floors of the elevator;

and controlling the idle elevator to return to the current stopping floor for stopping.

8. The method according to claim 1, wherein the method further comprises:

9. A computer program medium having computer readable instructions stored thereon, which, when executed by a processor of a computer, cause the computer to perform the method of any of claims 1-8.