CN118410889A

CN118410889A - Luggage extraction method, electronic device and storage medium

Info

Publication number: CN118410889A
Application number: CN202410451120.7A
Authority: CN
Inventors: 卢鹰; 刘瑜权
Original assignee: Uditech Co Ltd
Current assignee: Uditech Co Ltd
Priority date: 2024-04-15
Filing date: 2024-04-15
Publication date: 2024-07-30

Abstract

The invention relates to the technical field of intelligent logistics, in particular to a luggage extraction method, electronic equipment and a storage medium, wherein the method is applied to the electronic equipment and comprises the following steps: acquiring luggage information and reservation extraction information of luggage to be extracted, wherein the reservation extraction information comprises reservation extraction time and reservation extraction place; generating corresponding baggage extracting tasks according to the baggage information and the reservation extracting information, wherein the baggage extracting tasks comprise the baggage information and the reservation extracting information; and sending the baggage picking task to the target robot so that the target robot can convey the baggage to be picked up to a reserved picking place in reserved picking time after receiving the baggage picking task. The method can save the waiting time of passengers, improve the baggage extraction efficiency, reduce the aggregation congestion of the passengers in the baggage extraction area and reduce the probability of safety accidents.

Description

Luggage extraction method, electronic device and storage medium

Technical Field

The invention relates to the technical field of intelligent logistics, in particular to a luggage extraction method, electronic equipment and a storage medium.

Background

With the rapid development of passenger aviation services, more and more people choose to take an airplane for traveling. In order to ensure the safety of passengers and the public, the security level of the airport is continuously improved, so that most of packages and baggage carried by passengers must be carried, and the carrying quantity of the baggage is increased.

Currently, the main problem with baggage consignment is the baggage retrieval stage. More specifically, airport baggage retrieval is mainly performed by a traveler waiting on a designated baggage carousel, and identifying and picking up his or her own baggage from a plurality of baggage on the baggage carousel by means of a bar code, a digital number, or the like attached to the surface of the baggage. However, this baggage picking-up method requires a lot of time and effort for passengers to wait for the baggage which has not arrived yet, and the baggage picking-up efficiency is low, and the passengers are easily crowded due to the accumulation of the passengers at the baggage picking-up place, which may cause security accidents.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a baggage extracting method, an electronic device, and a storage medium, which aim to solve the technical problem of low baggage extracting efficiency in the prior art.

In order to solve the technical problems, the embodiment of the invention provides the following technical scheme:

in a first aspect, an embodiment of the present invention provides a baggage retrieving method, applied to an electronic device, where the method includes:

acquiring luggage information and reservation extraction information of luggage to be extracted, wherein the reservation extraction information comprises reservation extraction time and reservation extraction place;

generating a corresponding baggage extraction task according to the baggage information and the reservation extraction information, wherein the baggage extraction task comprises the baggage information and the reservation extraction information;

And sending the baggage picking task to a target robot, so that the target robot conveys the baggage to be picked up to the reserved picking place in the reserved picking time after receiving the baggage picking task.

In some embodiments, after generating a baggage retrieval task from the baggage information and the reservation retrieval information, the method further comprises:

Acquiring state information and configuration information of the robot, wherein the state information comprises the current position and the current state of the robot, and the configuration information comprises the baggage loading grade and the baggage safety grade of the robot;

and determining the target robot according to the baggage extracting task and state information and configuration information of the robot, wherein the target robot is used for executing the baggage extracting task.

In some embodiments, the baggage information includes weight, volume, and special matters of baggage to be extracted, the baggage loading level includes a bearing weight and a receiving volume, and the determining the target robot based on the baggage extracting task and the state information and the configuration information of the robot includes:

According to the weight and the volume of the luggage to be extracted and the configuration information of the robot, determining the robot with the bearing weight and the accommodating volume respectively meeting the weight and the volume requirements of the luggage to be extracted as a first robot to be determined;

According to the special matters of the luggage to be extracted and the configuration information of the first robot to be determined, determining the robot with the luggage safety level meeting the special matters of the luggage to be extracted as a second robot to be determined;

According to the current position and the current state of the second robot to be determined, determining the robot capable of conveying the baggage to be extracted to the reserved extraction site in the reserved extraction time as a third robot to be determined;

And if the third robots to be determined comprise one, determining that the third robots to be determined are the target robots, and if the third robots to be determined comprise a plurality of third robots to be determined, determining any one of the third robots to be determined as the target robots.

In some embodiments, the method further comprises:

If the first robot to be determined meeting the requirements does not exist, sending out an early warning prompt;

or if the first robot to be determined which meets the requirements exists and the second robot to be determined which meets the requirements does not exist, sending out an early warning prompt;

Or if the first robot to be determined which meets the requirements exists, the second robot to be determined which meets the requirements exists, and the third robot to be determined which meets the requirements does not exist, an early warning prompt is sent out.

In some embodiments, after the acquiring the baggage information and the reservation extraction information of the baggage to be extracted, the method further comprises:

acquiring passenger service information corresponding to the luggage to be extracted, wherein the passenger service information comprises a cabin level and special requirements;

And determining whether to preferentially generate a baggage extracting task according to the passenger service information.

In some embodiments, the bunk level includes a business class, a first class, and an economy class, the special needs include handicapped people and elderly people, and the determining whether to preferentially generate the baggage retrieval task according to the passenger boarding information includes:

If the cabin level is a business cabin or an first class cabin and/or the special requirement is a handicapped person and/or an elderly person, determining to preferentially generate a luggage extraction task;

if the cabin level is economy cabin and the special requirement is blank, determining that the luggage extraction task is not preferentially generated.

In some embodiments, the target robot, after receiving the baggage retrieval task, conveys the baggage to be retrieved to the reserved retrieval location within the reserved retrieval time, comprising:

The target robot receives a baggage extracting task, wherein the baggage extracting task comprises baggage information and reservation extracting information of baggage to be extracted;

the target robot obtains reserved picking time and reserved picking places of the baggage to be picked according to the baggage picking task;

And the target robot conveys the baggage to be extracted to the reserved extraction place in the reserved extraction time.

In some embodiments, after the baggage to be extracted is transported to the reserved extraction site within the reserved extraction time, the method further comprises:

the target robot acquires the passenger identity information corresponding to the luggage to be extracted, and performs identification and authentication on the passenger according to the passenger identity information;

if the passenger passes the authentication, the target robot delivers the baggage to be extracted to the passenger;

And the target robot responds to the received picking completion instruction, and updates the state information of the target robot, wherein the picking completion instruction is used for indicating that the passenger picks up and signs the baggage to be extracted.

In a second aspect, an embodiment of the present invention provides an electronic device, including:

a processor and a memory communicatively coupled to the processor;

the memory stores computer program instructions executable by the processor, which when invoked by the processor, cause the processor to perform steps of any one of the baggage extraction methods presented in the first aspect, or any one of the possible implementation manners of any one of the baggage extraction methods presented in the first aspect.

In a third aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon computer program instructions executable by a processor, which when invoked by the processor, cause the processor to perform the steps of any one of the baggage extraction methods presented in the first aspect, or any one of the possible implementation manners of any one of the baggage extraction methods presented in the first aspect.

The embodiment of the invention has the beneficial effects that: in contrast to the situation in the prior art, the baggage retrieving method provided by the embodiment of the present invention is applied to an electronic device, and the method includes: acquiring luggage information and reservation extraction information of luggage to be extracted, wherein the reservation extraction information comprises reservation extraction time and reservation extraction place; generating a corresponding baggage extraction task according to the baggage information and the reservation extraction information, wherein the baggage extraction task comprises the baggage information and the reservation extraction information; and sending the baggage picking task to a target robot, so that the target robot conveys the baggage to be picked up to the reserved picking place in the reserved picking time after receiving the baggage picking task.

In the embodiment, the method generates the corresponding baggage extracting task according to the baggage information of the baggage to be extracted and the reservation extracting information, and distributes the baggage extracting task to the target robot, so that the target robot receives the baggage extracting task and then conveys the baggage to be extracted to the passenger in the reservation extracting place in the reservation extracting time, thereby saving the waiting time of the passenger, improving the baggage extracting efficiency, reducing the aggregation congestion of the passenger in the baggage extracting area and reducing the probability of safety accidents.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is apparent that the drawings described below illustrate only certain embodiments of the invention and are not to be considered limiting of its scope. Other relevant drawings may be made by those of ordinary skill in the art without undue burden from these drawings.

Fig. 1 is a schematic view of an application scenario of a baggage retrieving method according to some embodiments of the present invention;

FIG. 2 is a schematic diagram of an electronic device according to some embodiments of the present invention;

FIG. 3 is a flow chart of a baggage retrieving method according to some embodiments of the present invention;

FIG. 4 is a flow chart illustrating a portion of the steps of a baggage retrieving method according to other embodiments of the present invention;

fig. 5 is a schematic flow chart of step S220 in the baggage retrieving method according to the embodiment of fig. 4.

Detailed Description

In order to make the objects and advantages of the embodiments of the present invention easier to understand, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and the following detailed description of the embodiments of the present invention in the accompanying drawings does not limit the scope of the claimed invention, but only represent selected embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that, if no conflict arises, the technical features of the embodiments of the present invention described below may be combined with each other and all the features are within the protection scope of the present invention. In addition, although functional block division is performed in a device or a structural diagram, a logical order is shown in a flowchart, in some cases, steps shown or described may be performed in a different order than block division in a device or from the order in a flowchart. Furthermore, the use of "first," "second," "third," and other similar expressions, herein do not limit the data and execution sequence, but merely facilitate description and distinguish between identical items or similar items that have substantially the same function and effect, without regard to indicating or implying a relative importance or implying a number of technical features.

Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. It should be understood that the term "and/or" as used in this specification includes any and all combinations of one or more of the associated listed items.

Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a baggage retrieving method according to some embodiments of the present invention.

As shown in fig. 1, the application scenario includes: an electronic device 100, a target robot 200, and a mobile terminal 300. The electronic device 100 is configured to output a baggage retrieving task and transmit the baggage retrieving task to the target robot 200, and the target robot 200 is configured to convey baggage to be retrieved.

In some embodiments, the passenger may input the baggage information and reservation extraction information of the baggage to be extracted through an applet, an application APP, or the like in the mobile terminal 300, and the electronic device 100 receives or acquires the baggage information and reservation extraction information of the baggage to be extracted input by the passenger through a network, and then generates a corresponding baggage extraction task according to the baggage information and reservation extraction information of the baggage to be extracted, so that the passenger completes reservation extraction of the baggage to be extracted.

After generating the baggage retrieval task, the electronic device 100 screens out a target robot 200 capable of completing the baggage retrieval task among a plurality of robots communicatively connected thereto, and then transmits the baggage retrieval task to the target robot 200 so that the robots, after receiving the baggage retrieval task, transport baggage to be retrieved to a designated place for a designated time and safely deliver the baggage to a passenger. Alternatively, the electronic device 100 may be integrally mounted to one of several robots, for example, the electronic device 100 may be integrally mounted to the target robot 200.

It should be appreciated that electronic device 100 may be one or more of a cloud, a cloud server, a cloud computing device, a cloud platform, a cloud storage device, a computing device, a terminal device, a mobile device, a management platform, a management system, etc., and that electronic device 100 may be any suitable type of device or system having certain computing and control capabilities, as embodiments of the present invention are not limited in this respect.

In some embodiments, the target robot 200 has a power device, such as a motor (not shown in fig. 1), and a moving device, such as a driving wheel (not shown in fig. 1), which is rotated by controlling the power device to achieve movement of the target robot 200, so that the target robot 200 can perform a related work task (e.g., transporting baggage to be extracted to a designated location).

In some embodiments, the target robot 200 may also include lidar, depth cameras, inertial navigation systems including sensors such as gyroscopes, IMU sensors, accelerometers, and the like. For example, after obtaining target position information of the baggage to be extracted (i.e., a reserved extraction place), the target robot 200 obtains a current position of the target robot 200 based on a positioning navigation algorithm, and then plans a navigation path from the current position of the target robot 200 to the reserved extraction place according to the target position information of the baggage to be extracted and the current position of the target robot 200.

Specifically, after the passenger inputs the baggage information and reservation extraction information of the baggage to be extracted, the electronic device 100 receives or acquires the baggage information and reservation extraction information and generates a corresponding baggage extraction task according to the baggage information and reservation extraction information. Then, according to the baggage picking task, the most suitable robot is selected as the target robot 200 for executing the baggage picking task, and the baggage picking task is sent to the target robot 200, so that the target robot 200 conveys the baggage to be picked up to a designated place within a designated time after receiving the baggage picking task.

It will be appreciated that the application scenario shown in fig. 1 only schematically illustrates a scenario in which the electronic device 100, the target robot 200, and the mobile terminal 300 cooperate with each other to complete baggage retrieval, and does not form any limitation on the number, types, and structural compositions of the electronic device 100, the target robot 200, and the mobile terminal 300 in other application scenarios. For example, in other embodiments, the electronic device 100 may screen out two or more target robots 200 to collectively complete the transportation of the baggage to be extracted when the baggage to be extracted is excessive, overweight, or the like.

In order to facilitate understanding of the baggage retrieving method provided by the embodiment of the present invention, first, an electronic device provided by the embodiment of the present invention will be described in detail.

Referring to fig. 2, fig. 2 is a schematic structural diagram of an electronic device 100 according to some embodiments of the invention.

As shown in fig. 2, the electronic device 100 comprises at least one processor 110 and a memory 120 communicatively coupled (in fig. 2, a bus system connection, one processor is an example), and the various components in the electronic device 100 are coupled together by a bus system 130, with the bus system 130 being used to enable the coupled communication between the components. It will be readily appreciated that the bus system 130 may include a power bus, a control bus, a status signal bus, and the like, in addition to the data bus. Various buses are labeled as bus system 130 in fig. 2 for clarity and conciseness. It will be appreciated by those skilled in the art that the configuration shown in the embodiment of fig. 2 is merely illustrative and is not intended to limit the configuration of the electronic device 100 described above. For example, the electronic device 100 described above may also include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 2.

In particular, the processor 110 is configured to provide computing and control capabilities to control the electronic device 100 to perform corresponding tasks. For example, the electronic device 100 described above is controlled to perform steps in any one of the baggage retrieving methods provided by the embodiments of the present invention, or any one of the possible implementation manners of any one of the baggage retrieving methods provided by the embodiments of the present invention. Those skilled in the art will appreciate that the processor 110 may be a general purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal processor (DIGITAL SIGNAL Processing, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components.

The memory 120 is used as a non-transitory computer readable storage medium, and may be used to store a non-transitory software program, a non-transitory computer executable program, instructions, and modules, for example, a program, instructions, and modules corresponding to the baggage extracting method in the embodiment of the present invention. In some embodiments, memory 120 may include a storage program area that may store an operating system, an application program required for at least one function, and a storage data area; the storage data area may store data created from the use of the processor 110, etc. The processor 110 executes various functional applications and data processing of the electronic device 100 by running non-transitory software programs, instructions and modules stored in the memory 120 to implement steps of any one of the baggage retrieval methods provided by the embodiments of the present invention, or any one of the possible implementations of any one of the baggage retrieval methods provided by the embodiments of the present invention. The memory 120 may include a high-speed random access memory, and may also include a non-transitory memory. Such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 120 may also include memory located remotely from processor 110, which may be connected to processor 110 via a communication network. It will be appreciated that examples of the above-described communication networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

It will be appreciated from the foregoing that the baggage retrieving method provided by embodiments of the present invention may be implemented by various suitable types of electronic devices having certain computing and control capabilities, for example, by the electronic device 100 described above. The baggage retrieving method provided by the embodiment of the present invention is described in detail below in connection with exemplary applications and implementations of the electronic device provided by the embodiment of the present invention.

Referring to fig. 3, fig. 3 is a flow chart illustrating a baggage retrieving method according to some embodiments of the present invention.

It will be appreciated by those skilled in the art that the baggage retrieving method provided in the embodiment of the present invention may be applied to the above-described electronic device (e.g., the electronic device 100). Specifically, the execution subject of the baggage retrieving method is one or at least two processors of the electronic device.

As shown in fig. 3, the baggage retrieving method includes, but is not limited to, the following steps S100 to S300:

S100: baggage information and reservation extraction information of baggage to be extracted are acquired, and the reservation extraction information includes reservation extraction time and reservation extraction place.

Specifically, the traveler or the user may input information related to the baggage to be extracted, such as baggage information and reservation extraction information of the baggage to be extracted, by using a carrier such as a system, a platform, a mobile terminal, etc., on a display page such as an applet, an application program, or a web service page in the carrier, and then submit the information to a corresponding service platform or management system. The baggage information includes information on the number, size, weight, special requirements, etc. of the baggage, and the reservation extraction information includes reservation extraction time and reservation extraction place desired by the passenger or user. The passengers or users can select proper extraction time and extraction places according to actual needs and plans, such as three-point in the afternoon, and the passengers or users can be transported to the airport G exit, so that the extraction of the target robot plums can be arranged according to baggage information and reservation extraction information provided by the passengers or users, and extraction services can be ensured to be completed at the time and place appointed by the passengers or users.

In some embodiments, the baggage information and reservation extraction information for the baggage submitted by the passenger or user may be stored in a database from which the electronic device obtains the baggage information and reservation extraction information for the baggage at the appropriate time via a network.

In other embodiments, the electronic device may also send an email or text message notification to the traveler or user, the email or text message notification containing the link or form. After receiving the e-mail or the short message notice, the passenger or the user clicks a link or a form, inputs the luggage information, the reservation extraction information and the like of the luggage to be extracted, submits and inputs the information related to the luggage to be extracted, and accordingly the electronic equipment acquires the luggage information and the reservation extraction information of the luggage to be extracted.

In some embodiments, after the electronic device obtains the baggage information and reservation extraction information of the baggage to be extracted, whether to generate the baggage extraction task preferentially or not may be determined according to the passenger service information of the passenger or the user corresponding to the baggage to be extracted, and the baggage extraction task may be processed promptly and quickly to provide a better quality and comfortable service for the passenger or the user.

In some embodiments, after acquiring the baggage information and reservation extraction information of the baggage to be extracted, the baggage extraction method further includes, but is not limited to, the following steps S110 to S120:

S110: and acquiring passenger service information corresponding to the baggage to be extracted, wherein the passenger service information comprises a cabin level and special requirements.

Specifically, the electronic device accesses and acquires passenger service information corresponding to the baggage to be extracted through an API interface, a travel management system or an airport service platform and the like provided by an airline company. In some embodiments, the passenger's air ticket bar code or two-dimensional code may also be scanned to obtain passenger information, which is then correlated with the baggage to be extracted. The passenger service information comprises a cabin level and special requirements, wherein the cabin level can be categories such as first class cabins, business class cabins and economy class cabins; special needs may be, for example, handicapped persons, mobility impaired persons, elderly/elderly persons, etc.

In other embodiments, the electronic device may further require the passenger or the user to use a system, a platform, a mobile terminal, or other carriers, and operate to input or select passenger service information (such as a passenger name, a flight number, a seat number, a bunk level, etc.) associated with the baggage to be extracted on a display page, such as an applet, an application program, or a web service page, in the carriers, so as to obtain passenger service information corresponding to the baggage to be extracted.

S120: and determining whether to preferentially generate a baggage extracting task according to the passenger service information.

Specifically, after passenger service information corresponding to the baggage to be extracted is obtained, whether the baggage extraction task is preferentially generated or not is determined according to factors such as the cabin level of the passenger or the user, special requirements, flight departure time, busyness of the baggage extraction area and the like. For example, if a passenger or user in the first class or business class enjoys a service of preferentially picking up baggage, a baggage picking-up task is preferentially generated for the passenger or user in the first class or business class, and then the target robot is assigned to perform the baggage picking-up task.

Illustratively, in some embodiments, it is determined whether to preferentially generate baggage retrieval tasks based on passenger occupancy information, including, but not limited to, the following steps S1201-S1202:

s1201: if the cabin level is a business cabin or first class cabin and/or the special requirement is a handicapped person and/or an elderly person, the luggage extraction task is determined to be preferentially generated.

The cabin level in the passenger service information comprises a business cabin, a first class cabin and an economy cabin, and special requirements comprise handicapped people, elderly people and other people with mobility impairment. It will be readily appreciated that the bunk level may also include other kinds of divisions, as well as more types of special requirements, and that the embodiments of the present invention are not limited in any way.

In particular, since passengers or users of business class and first class have higher expectations for quality of service, if the class is business class or first class, it is determined to preferentially generate and process baggage retrieval tasks, thereby improving customer satisfaction and quality of service.

In some embodiments, because handicapped persons and elderly persons may have a higher dependence on the baggage to be retrieved, if the particular needs are handicapped persons and/or elderly persons, the baggage retrieval task is determined to be prioritized and handled, and additional assistance may be provided if needed to ensure that the handicapped persons and/or elderly persons' baggage to be retrieved can be transported to the designated location in a timely and safe manner.

S1202: if the cabin level is economy and the special requirement is blank, the luggage extraction task is determined not to be preferentially generated.

In some embodiments, if the bunk level in the passenger information is economy and the special demand is blank, indicating that the passenger or user does not need to preferentially pick up baggage, it is determined that the corresponding baggage pick-up task is not preferentially generated. By providing differentiated baggage extraction services for passengers or users of different types according to passenger service information, more personalized and careful services are provided, resources can be effectively utilized, and the baggage extraction services can be ensured to meet the actual demands of the passengers of different types more efficiently.

S200: and generating corresponding baggage extracting tasks according to the baggage information and the reservation extracting information, wherein the baggage extracting tasks comprise the baggage information and the reservation extracting information.

Specifically, after obtaining the baggage information and reservation extraction information of the baggage to be extracted, the electronic device identifies and marks the baggage to be extracted according to the baggage information provided by the passenger or the user, ensuring that the baggage to be extracted can be accurately identified and processed in subsequent operations.

And then generating corresponding baggage extraction tasks by using specific algorithms and rules according to the baggage information and reservation extraction information of the baggage to be extracted. The electronic equipment can plan to obtain an optimal driving navigation route according to the reservation extraction time and the reservation extraction place in the reservation extraction information, and distributes the baggage extraction task to a proper target robot so as to finish baggage extraction and baggage distribution.

It will be appreciated that the baggage retrieval task should consider the distance of the reserved retrieval location, the urgency of the reserved retrieval time, the importance of the baggage, etc. to ensure the rationality and efficiency of the baggage retrieval task.

In some embodiments, after the baggage retrieval task is generated, a suitable target robot needs to be screened to assign the baggage retrieval task to the target robot, which performs the baggage retrieval task to transport baggage to be retrieved to a reserved retrieval location within a reserved retrieval time.

Referring to fig. 4, fig. 4 is a flow chart illustrating a baggage retrieving method according to some embodiments of the present invention.

Illustratively, in some embodiments, after generating the corresponding baggage retrieval task based on the baggage information and the reservation retrieval information, the baggage retrieval method further includes, but is not limited to, the following steps S210-S220:

S210: the method comprises the steps of acquiring state information and configuration information of the robot, wherein the state information comprises the current position and the current state of the robot, and the configuration information comprises the baggage loading level and the baggage safety level of the robot.

Illustratively, the electronic device establishes a communication connection with the robot over a network (e.g., wi-Fi, bluetooth, etc.), and sends an access request to obtain status information and configuration information for the robot. The state information comprises the current position and the current state of the robot, and the current state comprises whether the robot is in idle available state, the electric quantity of the robot and the like. For example, the current position is in the waiting area, the current state is the available state, the electric quantity is 20%, and the like. The configuration information includes a baggage loading level and a baggage security level of the robot. Baggage loading levels such as maximum weight-bearing weight, size, etc. of the robot loading baggage. Baggage safety levels, for example, a baggage safety level of a robot capable of loading only normal baggage (e.g., not fragile, moderately priced, or inexpensive) is determined as a normal level, a baggage safety level of a robot capable of loading important baggage (e.g., fragile, valuable, vulnerable, etc.) is determined as an important level, and the baggage safety level may include other levels. It is easy to understand that a robot with a baggage safety level of importance may carry general baggage, whereas a robot with a baggage safety level of general level may not carry important baggage.

In some embodiments, since the robot is equipped with various sensors, the electronic device may also acquire sensor data of the robot through a sensor interface or a data bus, and then analyze the acquired sensor data, thereby obtaining state information and configuration information of the robot.

In other embodiments, since the robot system provides an API (application program interface), the electronic device may communicate with the robot system through the API interface to obtain status information and configuration information of the robot. It may be appreciated that the electronic device may also acquire the state information and the configuration information of the acquiring robot in other manners, which is not limited in any way in the embodiment of the present invention.

S220: and determining a target robot according to the baggage extracting task and the state information and the configuration information of the robot, wherein the target robot is used for executing the baggage extracting task.

Specifically, after the status information and the configuration information of the robots are obtained, a target robot for performing the baggage extracting task, which is suitable for execution of the baggage extracting task, is selected and determined among several robots based on the baggage information and the reservation extracting information in the baggage extracting task, such as information on the weight, the size, and the special requirements of the baggage to be extracted, the reservation extracting time, the reservation extracting place, and the like, and based on the status information (e.g., the current position, the electric quantity, the current status, and the like) and the configuration information (e.g., the baggage loading level, the baggage safety level, and the like) of the robots. For example, the target robot is selected and determined according to whether the robot is currently available in idle, whether the current position of the robot is far away, whether the electric quantity of the robot is enough to perform the task of picking up the baggage, whether the weight, the size and the like of the baggage loaded by the robot meet the requirements and the like.

Referring to fig. 5, fig. 5 is a schematic flow chart illustrating a sub-process of step S220 in a baggage retrieving method according to some embodiments of the present invention.

Illustratively, in some embodiments, the target robot is determined based on the baggage retrieval task and the status information and configuration information of the robot, including, but not limited to, the following steps S2201-S2204:

s2201: and determining the robot with the bearing weight and the accommodating volume respectively meeting the weight and the volume requirements of the luggage to be extracted as a first robot to be determined according to the weight and the volume of the luggage to be extracted and the configuration information of the robot.

In some embodiments, the baggage information of the baggage to be extracted includes weight, volume, and special matters of the baggage to be extracted, and the baggage loading level of the robot includes a bearing weight and a receiving volume.

Specifically, after the state information and the configuration information of the robots are obtained, the weight and the volume of the baggage to be extracted are respectively compared with the bearing weight and the containing volume in the baggage loading level of the robots, and the robots with the bearing weight and the containing volume in the level Li Zhuangzai of the travel being respectively larger than or equal to the weight and the volume of the baggage to be extracted are screened, namely the robots with the bearing weight and the containing volume respectively meeting the weight and the volume requirements of the baggage to be extracted are screened, and are determined as the first robots to be determined, so that the selected robots are ensured to have enough loading capacity to bear the weight of the baggage to be extracted and enough space to contain the baggage to be extracted, damage or accident occurrence caused by overload of the robots in the transportation process is avoided, and situations such as extrusion damage and the like in the process that the baggage cannot be loaded or transported are avoided.

S2202: and determining the robot with the luggage safety level meeting the requirement of the special item of the luggage to be extracted as a second robot to be determined according to the special item of the luggage to be extracted and the configuration information of the first robot to be determined.

Specifically, after the first robot to be determined is screened, the corresponding safety level requirement of the robot is determined according to special matters of the baggage to be extracted, such as fragile objects, liquid or important baggage which is easy to damage and the like. And then screening robots with the safety level of the baggage meeting the special requirement of the baggage to be extracted from the first robots to be determined, and determining the robots as the second robots to be determined. For example, special matters include that the baggage to be extracted contains fragile and valuable articles, and it is necessary to carry the baggage with a robot of which the baggage safety level is an important level or higher, and therefore, from among the first robots to be determined, the baggage safety level is an important level or higher robot is selected and determined as the second robot to be determined.

In this embodiment, the baggage safety level of each robot is evaluated according to the special requirement of the baggage to be extracted and the configuration information of the robot, and comprehensive consideration is given to the safety performance, stability, reliability and the like of the robot, so that the robot can be ensured to safely transport the special baggage to be extracted.

S2203: and determining the robot capable of conveying the baggage to be extracted to the reserved extraction site in the reserved extraction time as a third robot to be determined according to the current position and the current state of the second robot to be determined.

Specifically, after screening the second robot to be determined, measuring, calculating and evaluating the reserved extraction time and reserved extraction place of the baggage to be extracted and the current position and current state of the second robot to be determined, determining the distance and the travel between the second robot to be determined and the baggage extraction area, evaluating whether the baggage to be extracted can reach the baggage extraction area within the reserved extraction time, timely extracting the baggage to be extracted, and conveying the baggage to be extracted to the reserved extraction place. And then screening out the second robots to be determined, which are free and available in current state, can execute and complete the baggage extraction task, and have a proper distance between the current position and the baggage extraction area, namely screening out the second robots to be determined, which can convey the baggage to be extracted to the reserved extraction place in reserved extraction time after measurement and calculation evaluation, and determining the second robots to be determined as third robots to be determined.

For example, in order for the robot to be able to transport baggage to be extracted to a reserved extraction site within a reserved extraction time, the electric quantity of the robot needs to be 50% or more and is in an idle usable state, and the distance of the current position of the robot from the baggage extraction area is less than or equal to a preset distance threshold value, and a second robot to be determined satisfying these requirements is determined as a third robot to be determined.

S2204: if the third robots to be determined comprise one, determining that the third robots to be determined are target robots, and if the third robots to be determined comprise a plurality of third robots to be determined, determining any one of the third robots to be determined as the target robot.

Specifically, after the third robots to be determined are screened out, if the third robots to be determined include one robot, the third robots to be determined are determined as target robots. If the third robots to be determined include a plurality of robots, any one of the plurality of third robots to be determined may be selected as the target robot.

In some embodiments, if the third robots to be determined include a plurality of robots, the third robot to be determined with the highest electric power may be selected as the target robot according to the electric power of each third robot to be determined. In other embodiments, if the third robots to be determined include a plurality of robots, the third robot to be determined having the shortest distance may be selected as the target robot according to the distance between each of the third robots to be determined and the baggage retrieval area.

It will be appreciated that, in determining the target robot according to the baggage extracting task and the state information and configuration information of the robot, the determining order of the above requirements may be changed, which is not limited in the embodiment of the present invention. For example, it may be determined first whether there is a first robot to be determined that can transport baggage to be extracted to a reserved extraction site within a reserved extraction time. On the premise that the first robot to be determined exists, whether a second robot to be determined, of which the bearing weight and the accommodating volume respectively meet the weight and the volume requirements of the luggage to be extracted, exists or not is determined. And finally determining a third to-be-determined robot with the baggage safety level meeting the special requirement of the to-be-extracted baggage on the premise that the second to-be-determined robot is determined to exist.

In some embodiments, if there is no satisfactory robot, an early warning alert is issued.

Specifically, the baggage extracting method further includes, but is not limited to, the following steps S2205 to S2207:

S2205: and if the first robot to be determined which meets the requirements does not exist, sending out an early warning prompt.

In the process of screening the first robot to be determined according to the weight and the volume of the baggage to be extracted and the configuration information of the robot, if the bearing weight and/or the accommodating volume of the robot are respectively smaller than the weight and/or the accommodating volume of the baggage to be extracted, that is, the bearing weight and/or the accommodating volume of the robot respectively do not meet the weight and/or the accommodating volume of the baggage to be extracted, it may be determined that the first robot to be determined which meets the requirements does not exist, and the electronic device sends out an early warning prompt to inform the manager that the robot which meets the requirements does not exist at the current moment, that is, the robot which does not meet the requirements is available for executing the baggage extracting task, and other measures are timely taken or reservation arrangement is adjusted.

S2206: and if the first robot to be determined meeting the requirements exists and the second robot to be determined meeting the requirements does not exist, sending out an early warning prompt.

Specifically, after determining that the first robot to be determined meets the requirement, in the process of screening the second robot to be determined according to the special matters of the baggage to be extracted and the configuration information of the first robot to be determined, if the baggage safety level of the first robot to be determined does not meet the requirement of the special matters of the baggage to be extracted, for example, the baggage safety levels of the first robot to be determined are all common levels, and only common baggage can be transported; the luggage to be extracted comprises fragile and easy-to-damage articles, and special matters of the luggage to be extracted are as follows: the important baggage is transported by the robots with important baggage safety level, so that the fact that the second robots to be determined which meet the requirements do not exist can be determined, and the electronic equipment sends out early warning reminding to inform the manager that the robots which meet the requirements do not exist at the current moment, namely, the robots which do not meet the requirements can be used for executing baggage extraction tasks, and other measures are taken or reservation arrangement is adjusted in time.

S2207: if the first robot to be determined meeting the requirements exists, the second robot to be determined meeting the requirements exists, and the third robot to be determined meeting the requirements does not exist, an early warning prompt is sent out.

Specifically, after the first robots to be determined meeting the requirements are determined, and the second robots to be determined meeting the requirements are determined, in the process of determining the robots capable of conveying the baggage to be extracted to the reserved extraction sites in the reserved extraction time according to the current position and the current state of the second robots to be determined, if the second robots to be determined are estimated to be incapable of conveying the baggage to be extracted to the reserved extraction sites in the reserved extraction time through measurement and calculation, for example, the electric quantity and/or the current state of the second robots to be determined do not meet the requirements, the third robots to be determined can be determined, and the electronic equipment sends out early warning reminding to inform the manager that the robots meeting the requirements are not available at the current moment, namely, the robots not meeting the requirements can be used for executing the baggage extraction task, and other measures are timely taken or reservation arrangement is adjusted.

S300: and sending the baggage picking task to the target robot so that the target robot can convey the baggage to be picked up to a reserved picking place in reserved picking time after receiving the baggage picking task.

Specifically, after the baggage extracting task is generated, the electronic equipment schedules and distributes the baggage extracting task, screens and determines the most suitable target robot according to the emergency degree of the baggage extracting task, the reservation extracting time and the reservation extracting place, the state and the availability of robots in the system and the like, and then sends the baggage extracting task to the target robot through a suitable transmission mode, so that the target robot can convey the baggage to be extracted to the reservation extracting place in the reservation extracting time, and ensure that the baggage is safely and timely delivered to passengers or users.

Illustratively, in some embodiments, the target robot, upon receiving the baggage retrieval task, conveys the baggage to be retrieved to the reserved retrieval location within a reserved retrieval time, including, but not limited to, the following steps S310-S330:

s310: the target robot receives a baggage retrieval task, wherein the baggage retrieval task includes baggage information and reservation retrieval information of baggage to be retrieved.

Illustratively, the electronic device sends the generated baggage retrieval task to the target robot via a suitable communication means. The target robot receives the baggage retrieval task sent by the electronic device. The baggage extracting task includes baggage information and reservation extracting information of baggage to be extracted.

Luggage information including, for example, information such as weight, size, number, etc. of luggage to be extracted. In some embodiments, the baggage information also includes specific descriptions of the baggage to be extracted, such as the type of baggage (bag, case, bag, etc.), the color of the baggage, a special identification, etc., to assist the robot in accurately identifying and extracting the baggage to be extracted.

The reservation extraction information includes information such as reservation extraction time, reservation extraction place, and pickup waiting time. In some embodiments, the reservation extraction information also includes contact or authentication information for the traveler or user to ensure that the robot is able to contact and identify the authenticated traveler or user at the time of delivery of the baggage.

S320: and the target robot obtains the reserved picking time and reserved picking place of the baggage to be picked up according to the baggage picking task.

Specifically, after receiving the instruction of the baggage extracting task, the target robot analyzes the instruction of the baggage extracting task, and extracts the reservation extracting time and the reservation extracting place information in the instruction of the baggage extracting task by utilizing the technologies such as text analysis or semantic analysis, so as to obtain the reservation extracting time and the reservation extracting place of the baggage to be extracted.

S330: and the target robot conveys the baggage to be extracted to the reserved extraction site in the reserved extraction time.

Specifically, after the reservation extraction time and the reservation extraction place of the baggage to be extracted are obtained, the target robot starts work, starts task scheduling, plans optimal driving paths and time schedules to ensure that the baggage to be extracted arrives at a baggage extraction area within the reservation time to extract the baggage to be extracted, and then selects optimal driving paths and traffic modes through a navigation system according to the reservation extraction place information to navigate and drive to the reservation extraction place so as to transport the baggage to be extracted to the reservation extraction place.

In some embodiments, to ensure safe and accurate delivery of baggage, the robot needs to identify and authenticate the traveler who gets the baggage to be retrieved.

In some embodiments, the target robot, after transporting the baggage to be fetched to the reserved fetch site within the reserved fetch time, the baggage fetch method further includes, but is not limited to, the following steps S400-S600:

S400: the target robot obtains the passenger identity information corresponding to the luggage to be extracted, and performs identification and authentication on the passenger according to the passenger identity information.

In some embodiments, the electronic device accesses and obtains passenger identity information corresponding to the baggage to be extracted through an API interface provided by an airline company, a travel management system, or an airport service platform, etc.

In other embodiments, the electronic device may further require the traveler or the user to input the traveler identity information (e.g., the name of the traveler, the face information of the guest, the fingerprint information of the traveler, the credential of baggage extraction, etc.) associated with the baggage to be extracted through the system, the platform, the mobile terminal, etc. on the display page of the applet, the application program, the web service page, etc. in these carriers, the operation is performed, so as to obtain the traveler identity information corresponding to the baggage to be extracted.

After the passenger identity information corresponding to the luggage to be extracted is obtained, when the passenger receives the luggage to be extracted, the passenger receiving the luggage is identified and authenticated according to the obtained passenger identity information, and the luggage to be extracted is delivered to the passenger or the user after the authentication is passed. For example, the identity of the passenger is identified and authenticated by using biometric technology, such as face recognition, fingerprint recognition, and the like.

S500: if the passenger passes the authentication, the target robot delivers the baggage to be extracted to the passenger.

Specifically, in the process of picking up the luggage to be extracted through passenger or user identification authentication, the target robot collects the passenger identity information provided by the passenger or user and compares the collected passenger identity information with the passenger identity information acquired in advance. If the identity information of the passengers is consistent, indicating that the passenger authentication is passed, the target robot delivers the baggage to be extracted to the passengers or users. If the passenger authentication is not passed, for example, the acquired passenger identity information is inconsistent with the pre-acquired passenger identity information, the target robot does not deliver the baggage to be extracted to the passenger or the user.

S600: and the target robot responds to the received picking completion instruction, and updates the state information of the target robot, wherein the picking completion instruction is used for indicating that the passenger has picked up and signed the baggage to be extracted.

In some embodiments, after the passenger or user retrieves the complete baggage to be retrieved, the passenger or user may operate the display interface of the target robot to trigger generation of a retrieval completion instruction. The picking-up completion instruction is used for indicating that the passenger or the user has picked up the checked-in baggage to be picked up. When the target robot receives the acquisition completion instruction, responding to the acquisition completion instruction, and updating the state information of the target robot. For example, update the current state to be idle, update the current remaining power, update the current location of the target robot, etc.

In summary, the baggage retrieving method provided by the embodiment of the present invention is applied to an electronic device, and the method includes: acquiring luggage information and reservation extraction information of luggage to be extracted, wherein the reservation extraction information comprises reservation extraction time and reservation extraction place; generating a corresponding baggage extraction task according to the baggage information and the reservation extraction information, wherein the baggage extraction task comprises the baggage information and the reservation extraction information; and sending the baggage picking task to a target robot, so that the target robot conveys the baggage to be picked up to the reserved picking place in the reserved picking time after receiving the baggage picking task.

An embodiment of the present invention provides a computer readable storage medium, on which computer program instructions executable by a processor are stored, which when invoked by the processor, cause the processor to perform steps in any one of the baggage extraction methods provided by the embodiment of the present invention, or any one of possible implementation manners of any one of the baggage extraction methods provided by the embodiment of the present invention.

In some embodiments, the storage medium may be flash memory, a hard disk, an optical disk, a register, magnetic surface memory, a removable magnetic disk, a CD-ROM, random Access Memory (RAM), read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, or any other form of storage medium known in the art, and may be a variety of devices including one or any combination of the aforementioned storage media.

In some embodiments, computer program instructions may be written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, in the form of programs, software modules, scripts or code, and it may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

As an example, computer program instructions may, but need not, correspond to files in a file system, be stored in a portion of a file that holds other programs or data, such as in one or more scripts in a hypertext markup language (HTML, hyper Text Markup Language) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).

By way of example, computer program instructions may be deployed to be executed on one computing device (e.g., one device that includes a smart terminal and a server) or on multiple computing devices at one site or distributed across multiple computing devices that are interconnected by a communication network. It will be readily understood that all or part of the steps of the methods described in the embodiments of the present invention described above may be implemented directly using electronic hardware or processor-executable computer program instructions, or a combination of both.

It will be appreciated by those skilled in the art that the embodiments provided in the present invention are merely illustrative, and the written order of steps in the methods of the embodiments is not meant to be a strict order of execution and forms any limitation on the implementation process, and the order may be adjusted, combined, and deleted according to actual needs, and the modules or sub-modules, units, or sub-units in the apparatus or system of the embodiments may be combined, divided, and deleted according to actual needs. For example, the division of units is merely a logic function division, and there may be another division manner in actual implementation, and for example, multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed.

From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, but may also be implemented by hardware. Those skilled in the art will appreciate that all or part of the processes implementing the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer readable storage medium, and the program may include processes of the embodiments of the methods described above 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 noted that, the foregoing embodiments are provided for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the present invention and implement it accordingly, and not to limit the scope of the claims of the present invention, and those skilled in the art may understand that all or part of the procedures for implementing the foregoing embodiments are modified according to the technical solutions described in the embodiments of the present invention or some of the technical features are replaced with equivalents thereof. It should be understood that these modifications or substitutions do not depart from the spirit of the embodiments of the invention, and are to be construed as equivalent changes and modifications based on the embodiments of the invention, which are intended to be covered by the claims.

Claims

1. A baggage retrieving method applied to an electronic device, the method comprising:

2. The method of claim 1, wherein after generating a baggage retrieval task based on the baggage information and the reservation retrieval information, the method further comprises:

3. The method of claim 2, wherein the baggage information includes weight, volume and special matters of baggage to be extracted, the baggage loading level includes a bearing weight and a receiving volume, and the determining the target robot based on the baggage extracting task and the state information and the configuration information of the robot includes:

4. A method according to claim 3, characterized in that the method further comprises:

5. The method according to any one of claims 1 to 4, wherein after the baggage information and reservation extraction information of the baggage to be extracted are acquired, the method further comprises:

6. The method of claim 5, wherein the bunk level includes business class, first class and economy class, the special needs include handicapped people and elderly people, and the determining whether to prioritize the generation of baggage retrieval tasks based on the passenger occupancy information includes:

7. The method of claim 1, wherein the target robot, after receiving the baggage retrieval task, conveys the baggage to be retrieved to the reserved retrieval location within the reserved retrieval time, comprising:

8. The method of claim 7, wherein after the baggage to be extracted is transported to the reserved extraction site within the reserved extraction time, the method further comprises:

9. An electronic device, comprising:

a processor and a memory communicatively coupled to the processor;

The memory stores computer program instructions executable by the processor, which when invoked by the processor, cause the processor to perform the baggage retrieval method of any one of claims 1 to 8.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon computer program instructions executable by a processor, which when called by the processor, cause the processor to perform the baggage extraction method according to any of claims 1-8.