KR20180035720A - Method for providing life convenience service using unmanned locker - Google Patents

Abstract

The present invention relates a method of allowing a computer to provide a service using an unmanned locker. The method comprises: a step of receiving a service request from a user client; a step of delivering the service request to a business client; a step of obtaining information about the service; a step of obtaining the schedule of the unmanned locker; a step of selecting at least storage box archive included in the unmanned locker based on the information about the obtained service and the schedule of the unmanned locker; a step of creating the usage schedule of the selected storage box; and a step of transmitting the location of the selected storage box and the created usage schedule to at least one of the user client and the business client.

Description

METHOD FOR PROVIDING LIFE CONVENIENCE SERVICE USING UNMANNED LOCKER BACKGROUND OF THE INVENTION [0001]

The present invention relates to an O2O (Online to Offline) service providing method.

O2O stands for Online to Offline, which means that online is offline. It combines the advantage of online distribution with low cost of online and the offline advantage of actual consumption.

O2O is being used in various fields such as internet shopping, laundry and courier service. However, since the O2O service includes the delivery process, it is necessary to develop a technique that can solve the inconveniences or problems that may occur during the delivery process.

Japanese Patent Application Laid-Open No. 10-2015-0104355,

A problem to be solved by the present invention is to provide a service of life using an unmanned locker.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a method of providing a service using an unmanned locker, the method comprising: receiving a service request from a user client; delivering the service request to a business client; Selecting at least one archive included in the unmanned locker based on the information about the obtained service and the schedule of the unmanned locker, obtaining information about the service, acquiring the schedule of the unmanned locker, Generating a usage schedule of the selected archive and transmitting the location of the selected archive and the created usage schedule to at least one of the user client and the business client.

In addition, generating the usage schedule of the selected archive may include generating at least one of a pickup schedule and a delivery schedule of the archive based on the information about the obtained service and the schedule of the selected archive .

The step of transmitting the usage schedule may include transmitting the pick-up schedule to the user client, receiving the archive completion signal corresponding to the pick-up schedule from the unmanned locker or the user client, And transmitting a completion signal.

The step of transmitting the usage schedule may include transmitting the delivery schedule to the business client, receiving a delivery completion signal corresponding to the delivery schedule from at least one of the unmanned locker, the business client and the delivery client And delivering the delivery completion signal to the user client.

In addition, the step of acquiring the schedule of the unmanned locker may include acquiring usage information and reservation information of the unmanned locker, and the step of generating the usage schedule of the unattended locker may include: Selecting a pick-up time slot or a delivery time slot, selecting a storage box estimated to be empty at the determined pick-up time slot or delivery time slot, and reserving use of the selected storage box at the determined delivery time slot.

In addition, the step of selecting the storage box may include selecting a storage that is estimated to be empty at the determined delivery time zone using the learned model based on the usage history of the unmanned locker.

According to an aspect of the present invention, there is provided a system for providing a service using an unmanned locker, the system comprising: an unmanned locker and a user client; receiving the service request; Acquiring information about the selected unmanned locker, selecting at least one archive based on the obtained information and the schedule of the unmanned locker, generating a usage schedule of the selected archive, And a server for transmitting the usage schedule of the selected storage box to at least one of the user client and the business client.

In addition, the unmanned locker can recognize a tag corresponding to an item to be picked up or delivered, and open a reserved storage corresponding to the recognized tag.

In addition, the unmanned locker may generate a password of the selected storage box, and may transmit the password to the server or the user client when the delivery to the storage box is completed.

There is provided a computer program stored in a recording medium readable by a computer, in combination with a computer, which is hardware, to perform a service providing method according to the disclosed embodiments.

Other specific details of the invention are included in the detailed description and drawings.

According to the disclosed embodiment, it is possible to easily acquire information on the unmanned locker at a desired position and information on whether or not each unmanned locker is vacant. In addition, there is an effect that a delivery service can be provided at a predetermined location and time by providing a service of life using an unmanned locker.

In order to provide services for life, it is essential that a process of picking up or delivering goods is required, and a stable pickup and delivery method is required. If you are picking up or delivering from your home or business, you may experience problems if the user is not in position.

In the case of using an existing unmanned locker, scheduling of the delivery schedule is difficult, and it is troublesome to find the location of the unmanned locker, inform the user of the password, and make payment.

According to the disclosed embodiment, the system of the entire unmanned locker is managed by the server, and the scheduling of the delivery schedule is facilitated. Therefore, it is possible to conveniently provide the service of the life without the burden on the pickup and the delivery.

The effects of the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram schematically showing a system for providing a service of life using an unmanned locker according to an embodiment.
2 is a diagram illustrating the structure of Deep Neural Networks (DNN).
3 is a diagram illustrating the structure of Convolutional Deep Neural Networks (CNN).
FIG. 4 is a diagram illustrating a process of calculating a product product.
5 is a diagram illustrating a sub-sampling process.
FIG. 6 is a flowchart briefly showing a service providing method for a living room according to an embodiment.
FIG. 7 is a block diagram illustrating a system for providing services of life using an unmanned locker according to an embodiment.
FIG. 8 is a flowchart illustrating a method of providing a service of life-style according to an embodiment.
9-11 illustrate embodiments utilizing an unmanned locker in accordance with the disclosed embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, Is provided to fully convey the scope of the present invention to a technician, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element. Like reference numerals refer to like elements throughout the specification and "and / or" include each and every combination of one or more of the elements mentioned. Although "first "," second "and the like are used to describe various components, it is needless to say that these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical scope of the present invention.

As used herein, the term "part" or "module" refers to a hardware component, such as a software, FPGA, or ASIC, and a "component" or "module" performs certain roles. However, "part" or " module " is not meant to be limited to software or hardware. A "module " or " module " may be configured to reside on an addressable storage medium and configured to play back one or more processors. Thus, by way of example, "a" or " module " is intended to encompass all types of elements, such as software components, object oriented software components, class components and task components, Microcode, circuitry, data, databases, data structures, tables, arrays, and variables, as used herein. Or " modules " may be combined with a smaller number of components and "parts " or " modules " Can be further separated.

In the disclosed embodiment, "service of life" or "service " includes at least one of an online to offline (O2O) service and a courier service. In particular, the "service of life" or "service" according to the disclosed embodiment is understood as a concept including all kinds of services including a delivery process of goods.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

1 is a conceptual diagram schematically showing a system for providing a service of life using an unmanned locker according to an embodiment.

Referring to FIG. 1, a system for providing service of life using an unmanned locker includes an unmanned locker 10, a user client 100, a service provider client 200 for life, and a server 300.

In one embodiment, the user client 100, the service provider client 200, and the server 300 of the lifetime refer to a computer or a program running on the computer.

In one embodiment, the unmanned locker 10 includes at least one computer.

In the embodiments disclosed herein, a computer is used to mean all kinds of devices including at least one processor. For example, a computer means a desktop, a laptop (laptop), a smart phone, a tablet PC, and an embedded PC.

All or some of the methods of providing the service of the life in accordance with the embodiments disclosed below are performed in the user client 100, the service provider client 200 of the life, and the server 300. [

In one embodiment, the user client 100 and the business client 200 send information to the server 300 that is used to provide services of the lifetime according to the disclosed embodiment, And transmits the result to the user client 100 or the business client 200. The user client 100 or the business client 200 receives the service from the user client 100 or the business client 200,

In one embodiment, the user client 100 and the business client 200 download a program for performing a method of providing a service of a lifestyle according to an embodiment initiated from the server 300 or another external server, A method for providing a service of a life cycle according to the disclosed embodiment is performed.

In one embodiment, the user client 100 and the business client 200 access the server 300 through a web page, and use the SPA (Single Page Application) Perform a method of providing services of life.

It is to be understood that the above-described embodiments are provided by way of example only and that all or some of the methods of providing a service of the life in accordance with the embodiments disclosed below are performed in the user client 100, the business client 200 or the server 300 Are not limited thereto.

In one embodiment, the unmanned locker 10 may be installed in an apartment complex, a shopping center, a subway station, or the like. The location where the unmanned locker 10 can be installed is not limited.

In one embodiment, the unmanned locker 10 may include an operation panel for opening and closing each locker. The user inputs the password using the operation panel, and the unmanned locker 10 can open / close the locker according to the inputted password.

In one embodiment, the unmanned locker 10 may be associated with a user client 100. For example, the unmanned locker 10 may be connected to the user client 100 using local area wireless communication (e.g., Bluetooth, BLE, WiFi, etc.) or through a network. For example, the user client 100 and the unmanned locker 10 may be connected through the server 300.

An operation screen for opening and closing each locker may be displayed on an application installed in the user client 100 or a web page displayed on the user client 100. [ The user can select and open the storage box using the operation screen displayed on the user client 100.

For example, the user client 100 performs user authentication by using an application installed in the user client 100, and the server 300 or the unmanned locker 10 can access the storage corresponding to the authenticated user when the user authentication is completed It is possible to control the unmanned locker 10 to open. When the user authentication is completed, the server 300 or the unmanned locker 10 transmits the number or position of the locker corresponding to the authenticated user to the user client 100, So that the user can open a storage box corresponding to the user who has been opened.

In another example, the user client 100 receives at least one of a storage number and a password using the operation screen displayed on the user client 100, and transmits the input information to the unmanned locker 10, Can be used.

In one embodiment, the server 300 may communicate with the unmanned locker 10. For example, the unmanned locker 10 can be connected to the Internet using a wired or wireless LAN. In one embodiment, the unmanned locker 10 may include at least one 3G or LTE module.

The server 300 may monitor the usage status of the unmanned locker 10. For example, the server 300 can recognize the availability state or vacancy state of each locker of the unmanned locker 10, and can make a database.

In one embodiment, the server 300 may determine the location and vacancy status of each unattended locker including the unmanned locker 10.

The user client 100 can determine the location and vacancy status of the unmanned locker through the server 300. [ The user client 100 may request the reservation of the unmanned locker in the vacant state through the server 300. [ In one embodiment, the user client 100 may request a reservation for use if an unattended locker that is not currently in the vacant room is available, if the vacant room occurs. The server 300 can reserve the use of the unmanned locker 10 at the request of the user client 100. [

In one embodiment, the server 300 may estimate the availability of the unmanned locker 10 for future time points. The server 300 can analyze the use state of the unmanned locker 10 according to the position and the time to estimate the use state or vacancy state of the unmanned locker 10 at a future time.

For example, the server 300 may check the reservation schedule of the unmanned locker 10 to estimate the availability or vacancy status of the unmanned locker 10 at a future date.

As another example, the server 300 may perform machine learning (deep learning) using the usage pattern database of the unmanned locker 10 as learning data. For example, the server 300 may perform the regression analysis using the position and the usage state of each unmanned locker 10 as learning data, thereby calculating the distribution of the probability that the unmanned locker is empty every time period have. In one embodiment, the server 300 may perform a deep beta regression analysis.

As another example, the server 300 performs binary classification learning using the location of each unmanned locker and vacancy by time period as learning data, so that whether or not the unmanned locker 10 is vacant by time and location is set to yes / You can create a binary classifier that can respond. In one embodiment, the server 300 may generate a support vector machine capable of responding yes / no to vacancy of the unmanned locker 10 by time and location.

That is, the server 300 learns and estimates the location of each unmanned locker, whether vacant by time, etc., by using artificial intelligence technology. Each artificial intelligence technology includes machine learning (machine learning) technology and includes deep learning technology, which is widely used in machine learning, especially for image analysis.

Deep learning is a set of machine learning algorithms that try to achieve a high level of abstraction (a task that summarizes key content or functions in large amounts of data or complex data) through a combination of several nonlinear transformation techniques. Is defined. Deep learning can be viewed as a field of machine learning that teaches computers how people think in a big way.

When there is any data, it is represented by the form that the computer understands (for example, the pixel information is represented by a column vector in the case of the image), and many researches How to create expression models and how to model them). As a result of these efforts, various deep-running techniques have been developed. Deep learning techniques include Deep Neural Networks (DNN), Convolutional Deep Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Belief Networks (DBN). have.

Deep Neural Networks (DNN) is an Artificial Neural Network (ANN) composed of hidden layers between an input layer and an output layer.

2 is a diagram illustrating the structure of a depth-of-field network. In FIG. 2, each circle represents one perceptron. A perceptron consists of several input values, a processor, and a single output value. The processor multiplies the multiple input values by their respective weights, and then weights all the input values multiplied by the weights. The processor then substitutes the summed value into the activation function and outputs one output value. If you want to output a specific value as the output value of the activation function, you can modify the weight multiplied by each input value, and recalculate the output value using the modified weight. In Fig. 2, each perceptron can use different activation functions. Each perceptron also receives the outputs from the previous layer as input, and then uses the activation function to obtain the output. The obtained output is transferred to the input of the next layer. After the process described above, several output values can be finally obtained.

Going back to the description of the deep running technique, Convolutional Deep Neural Networks (CNN) is a kind of multilayer perceptrons designed to use minimal preprocessing. The composite neural network consists of one or several convolutional layers and general artificial neural network layers stacked on top of it, and utilizes additional weighting and pooling layers. This structure allows the composite neural network to fully utilize the input data of the two-dimensional structure. In addition, the combined product neural network can be trained through standard inverse delivery. Composite neural networks are more easily trained than other feedforward artificial neural network techniques and have the advantage of using fewer parameters.

The composite neural network extracts features from the input image by alternately performing the composite product and the subsampling on the input image. FIG. 3 illustrates a structure of a composite neural network. Referring to FIG. 3, a composite neural network includes a plurality of convolution layers, a plurality of subsampling layers (Max-Pooling layer, , And a fully connected layer. The composite product layer is a layer that performs a composite product on an input image. The subsampling layer is a layer for extracting a maximum value locally for an input image and mapping it to a two-dimensional image.

In the composite product layer, information such as the kernel size, the number of kernels to be used (that is, the number of maps to be generated), and a weight table to be used in the composite product operation are required. For example, consider the case where the size of the input image is 32 × 32, the size of the kernel is 5 × 5, and the number of kernels to be used is 20. In this case, if a 5 × 5 kernel is applied to a 32 × 32 input image, it is impossible to apply the kernel to two pixels on the upper, lower, left, and right sides of the input image. 4, when the kernel is arranged on the input image and the resultant product is performed, '-8', which is a result of the resultant multiplication, is used as the kernel of the kernel of the input image included in the kernel, Is determined by the value of the pixel corresponding to the center element of the pixel. Therefore, if a 5 × 5 kernel is applied to a 32 × 32 input image and a composite product is performed, a 28 × 28 map is generated. Since the number of kernels to be used is assumed to be 20, a total of 20 28 × 28 maps are generated in the first convolution layer (see 'C1-layer' in FIG. 3).

At the subsampling layer, information on the size of the kernel to be sub-sampled, information on whether to select the maximum value or the minimum value among the values in the kernel area is required. 5 is a diagram illustrating a sub-sampling process. Referring to FIG. 5, it can be seen that the size of the kernel to be sub-sampled is 2 × 2, and the maximum value among the values included in the kernel region is set to be selected. When a 2 × 2 kernel is applied to an 8 × 8 size input image, a 4 × 4 size output image can be obtained. That is, an output image whose size is reduced to 1/2 of the input image can be obtained.

Returning to the description of the deep running technique, the Reccurent Neural Network (RNN) refers to a neural network in which the connections between the units forming the artificial neural network constitute a directed cycle. Circular neural networks can utilize memory inside a neural network to process arbitrary inputs, unlike pre-feed neural networks.

Deep Belief Networks (DBN) is a generative graphical model used in machine learning. In deep learning, it is a deep neural network composed of multiple layers of latent variables. There is a connection between layers but there is no connection between the units in the layer.

The deep trust neural network can be used for preliminary learning due to the nature of generation model. After learning initial weight through preliminary learning, we can fine - tune the weight through back propagation or other discrimination algorithm. This characteristic is very useful when the training data is small, because the smaller the training data is, the more the initial value of the weight affects the resulting model. The initial value of the weighted initial value is closer to the optimal weight value than the arbitrary initial value of the weighted value, which enables improvement of the performance and speed of the unadjusted step.

Such regression analysis and classification learning can accumulate data and accumulate better results over time, and it is possible to expect the effect of appropriately responding to changes in users' usage patterns through continuous learning and updating.

In one embodiment, the user client 100 may utilize the services of the lifestyle using the unmanned locker 10. For example, the user client 100 may utilize a delivery service. The user client 100 can select the unmanned locker 10 at a desired location via the server 300 and determine whether the user is present or future at the current time or not, and then designate the location and time to request the delivery service.

In another embodiment, the server 300 may automatically select the near unattended locker 10 where vacancies exist, depending on the location of the user client 100. [ In one embodiment, even if the current vacancy is not present, the user client 100 may select the unattended locker 10 that is assumed to be vacant at the time of the request for delivery.

The contents described above with reference to Figs. 2 to 5 are described by way of example, and the method for analyzing the schedule of the unmanned locker in accordance with the disclosed embodiment is not limited thereto.

Returning back to the embodiment shown in FIG. 1, the server 300 can automatically generate a delivery schedule and transmit it to the business client 200 considering the following matters.

First, the server 300 can automatically generate a delivery schedule based on the order contents of the user.

In one embodiment, the server 300 may create a delivery schedule to the unmanned locker 10 at the location requested by the user to perform the delivery in the time zone requested by the user.

However, in some cases, the unmanned locker 10 at the position requested by the user may not have a vacancy in the time zone requested by the user. Accordingly, secondly, the server 300 can automatically generate a delivery schedule by taking into account whether or not the unattended locker 10 is vacant.

For example, the server 300 can confirm the reservation status of the unmanned locker 10 at a future date selected by the user. The server 300 can select a time zone in which the unmanned locker 10 is not reserved, and can create a delivery schedule after making reservation for use.

In addition, the server 300 can estimate the availability of the unmanned locker 10 at the future time point selected by the user. The server 300 can create a delivery schedule after reserving an unmanned locker which is estimated to be vacant at a time closest to the future time point of the user's selection.

In addition, when a plurality of service providers of a plurality of personal services are required to perform a plurality of deliveries, the server 300 classifies the unmanned lockers to be the delivery targets by location and time, so that conflicts of overlapping time zones or places do not occur Delivery schedule scheduling can be performed. If it is difficult to deliver at the position and time requested by the user, the server 300 may perform the delivery time scheduling so that delivery is performed at other nearby unmanned lockers or other nearest time zones where vacancies are expected to occur.

The server 300 can deliver the generated delivery schedule to the business client 200. [

In addition, considering the delivery schedule of the service provider of the life style, it may be difficult to perform the delivery in the time zone requested by the user. Accordingly, thirdly, the server 300 can automatically generate a delivery schedule considering the delivery schedule of the service provider of the personal service.

In one embodiment, the business client 200 can generate information about the expected delivery time zone based on the request of the user client 100, the time required for performing the actual delivery, and the delivery schedule. The business client 200 may transmit the information on the expected delivery time zone to the server 300. [

The server 300 selects and reserves the unmanned locker 10 that is not reserved or estimated to be vacant at the expected delivery time slot received from the business client 200 and transmits the unmanned locker 10 to the business client 200. [ And information on the delivery time.

In one embodiment, the server 300 determines whether there is a locker that is not reserved in the unmanned locker 10 selected by the user client 100 in the expected delivery time zone received from the business client 200, Can be estimated. The server 300 reserves the use of the unmanned locker 10 at a time when it is estimated that there is a locker that is not reserved or vacant in the unmanned locker 10 selected by the user client 100, Information about the delivery time can be transmitted.

In one embodiment, when an unoccupied room occurs in the unattended locker 10 at the delivery time, the server 300 reserves the use of the unoccupied locker and provides a notification to the provider client 200 that the vacant room has occurred . The carrier client 200 can perform delivery for the reserved locker.

When the delivery to the reserved locker is completed, the unmanned locker 10 or the server 300 automatically generates a password and transmits a message including the location of the unmanned locker 10, the locker number and the password to the user client 100 Lt; / RTI >

The user inputs the password received by the user client 100 into the unmanned locker 10 and the unmanned locker 10 can open and close the locker assigned to the user.

In another embodiment, the unmanned locker 10 or server 300 stores and stores locker information reserved for delivery and information about the user to be delivered. When the delivery is completed, the user who is the delivery target performs the user authentication using the application of the user client 100. The unmanned locker 10 or the server 300 may transmit the location or the storage box number of the storage box to the user client 100 according to the authentication result and store the storage box in which the goods to be delivered to the user are automatically stored Respectively.

In one embodiment, opening and closing of the storage through user authentication may be performed through the network, but it may be possible only when the user client 100 is near the unmanned locker 10 for security. For example, only when the user client 100 is connected to the unmanned locker 10 using local communication or when the user client 100 detects the signal of the unmanned locker 10, Can be set.

In another embodiment, the user client 100 may open the door of the unmanned locker 10 by sending information to the unmanned locker 10 about the locker number and the password.

In one embodiment, a service provider of the life of the user may need to collect the user's goods such as a laundry service or a rental service. In this case, the user can store information on the location of the unmanned locker 10, the locker number, and the password to the business client 200 after storing the necessary items in the unmanned locker 10 having the vacant room. In one embodiment, information about the location of the unmanned locker 10, the locker number and the password may be automatically generated by the unmanned locker 10 or the server 300 and then delivered to the business client 200.

Likewise, the business client 200 can also perform authentication using the installed application and use the unmanned locker 10 without a password.

FIG. 6 is a flowchart briefly showing a service providing method for a living room according to an embodiment.

The steps shown in FIG. 6 are performed in a time series in the user client 100, the business client 200, or the server 300 shown in FIG. Hereinafter, the roles of the user client 100, the business client 200, and the server 300 will be described separately for convenience of description. In particular, the steps shown in FIG. 6 are performed by the server 300 However, the execution subject of each step is not limited to the server 300, and all or a part of the execution subject may be performed in the user client 100 or the business client 200 as well.

In this specification, the business client 200 may mean a computer functioning as a client terminal, but it is also possible to use a server (or a cloud server) used by a service provider of a personal service, a service provider (and employees of a partner company, Including the client terminal used by the client terminal. In this case, the server included in the business client 200 and the client terminal communicate with each other, and perform at least a part of the functions performed by the business client 200 in the disclosed embodiment.

6, the contents already described in connection with the user client 100, the business client 200 and the server 300 in FIG. 1 are also applied to the service providing method in FIG.

In step 310, the server 300 receives a service request of the life-size from the user client 100. [

For example, the service request of the lifetime that the server 300 receives may include at least one of a laundry service, a food delivery service, a flower delivery service, a courier service, a shopping service, and a rental service, but is not limited thereto. In the disclosed embodiment, all kinds of O2O services, including the delivery of goods, can be included in the service of the life cycle according to the disclosed embodiment.

The server 300 delivers the service request received from the user client 100 to the business client 200. [

In step 320, the server 300 obtains information about the service.

For example, the server 300 obtains information on a service requested by the user client 100 and information on a service to be provided by the business client 200 in response thereto.

For example, the server 300 transmits the laundry service request obtained from the user client 100 to the business client 200, and the laundry washing time requested by the user client 100 and the washing time determined by the business client 200 And obtains information about the laundry delivery time.

In this specification, "pick-up" means delivering the goods of the user to the service provider when the user requesting the services of the service is to deliver the goods to the service provider.

In the present specification, "delivery" means delivering goods from the service provider to the user when the service provider has to deliver the goods to the user who has requested service of the life.

At step 330, the server 300 obtains the schedule of the unmanned locker 10.

In one embodiment, the server 300 obtains a schedule that includes the usage status and the reservation status of each repository included in the unmanned locker 10.

In one embodiment, the server 300 obtains the usage history of the unmanned locker 10. For example, the server 300 acquires information on the time when the unattended locker 10 and the unattended locker 10 are used, and information on the used period for each day, day, and hour for a predetermined period of time.

The external server or the cloud connected to the server 300 or the server 300 can estimate whether each locker of the unmanned locker 10 is being used at a future time point based on the usage history of the acquired unmanned locker 10, Estimates the probability that each bin of the unmanned locker 10 is in use or empty at a future date.

In step 340, the server 300 selects at least one archive contained in the unmanned locker 10 based on the information about the service obtained in step 320 and the schedule of the unmanned locker 10 obtained in step 330.

For example, the server 300 determines at least one of a pick-up time zone and a delivery time zone based on the information about the service obtained in the step 320, and selects a container which is estimated to be empty in the determined time zone.

For example, the server 300 selects a storage that is currently empty and has not been reserved for use at the determined pickup time or delivery time.

As another example, the server 300 may be a storage that is currently in use, but is not reserved for use in the determined pickup time zone or delivery time zone, and is stored in the storage 300, which is expected to be unloaded before the pick- Can be selected.

As another example, the server 300 may use the learned history using the history of the unmanned locker 10 to select an archive that is estimated to be empty at the determined pickup time zone or delivery time zone. In addition, the server 300 may select a storage box estimated to be empty in the determined pickup time zone or delivery time zone by using the learned model using the utilization history of the unmanned locker 10, Or estimate the probability that it will be empty at the delivery time window, and select the most probable archive.

The server 300 may create a usage schedule for the selected archive.

In one embodiment, the server 300 generates at least one of a pickup schedule and a delivery schedule of the archive based on the information of the service obtained in step 320 and the schedule of the selected archive.

For example, the server 300 may set the time zone in which the pick-up or delivery is to be made in the selected storage box, and reserve the selected storage box in the set time zone.

In step 350, the server 300 sends the location of the selected library and the created usage schedule to at least one of the user client 100 and the business client 200. [

In one embodiment, the server 300 sends a pick-up schedule to the user client 100 and receives an archive complete signal corresponding to the pick-up schedule from the unmanned locker 10 or the user client 100. The server 300 may transmit a storage completion signal to the business client 200 when an archive complete signal is received.

In addition, the server 300 may send a delivery schedule to the business client 200 and receive a delivery completion signal corresponding to the delivery schedule from at least one of the unmanned locker 10, the business client 200, have. The server 300 transmits a delivery completion signal to the user client 100 when a delivery completion signal is received.

The distributor client is a client who picks up an object from the unmanned locker 10 on the service provider side of the living room or uses the dispatcher who delivers the object to the unmanned locker 10, which will be described below with reference to FIG.

FIGS. 7 and 8 are views for explaining a system for providing a service of life using an unmanned locker in accordance with the disclosed embodiment.

FIG. 7 is a block diagram illustrating a system for providing services of life using an unmanned locker according to an embodiment.

FIG. 8 is a flowchart illustrating a method of providing a service of life-style according to an embodiment.

The above description with respect to Figs. 1 to 6 also applies to the system and method shown in Fig. 7 and Fig.

Referring to FIG. 7, a system including an unmanned locker 10, a user client 100, a business client 200, and a server 300 is disclosed.

Referring to FIG. 8, the user client 100 transmits a service request to the server 300 in step 110. The server 300 forwards the service request to the business client 200 in step 310.

The provider client 200 generates service information corresponding to the service request in step 210, and transmits the generated service information to the server 300 (step 220).

The server 300 requests the unattended locker 10 for the archive information (step 330), and the unmanned locker 10 transmits the archive information to the server 300 (step 12).

The server 300 generates a usage schedule of the unmanned locker 10 (step 340) and transmits the usage schedule generated in step 340 to the user client 100 or the business client 200 (step 350).

Referring again to FIG. 7, the system further includes a sender client 410 of the sender picking up the item 420 from the unmanned locker 10 or delivering the item 420 to the unmanned locker 10.

In one embodiment, the communication portion of the user client 100 includes a Wi-Fi module, a mobile network module (e.g., a communication module including at least one of 2G, 3G, and LTE) , BLUETOOTH, BLE, and the like).

Likewise, the communication portion of the unmanned locker 10 may include a Wi-Fi module, a mobile network module (e.g., a communication module including at least one of 2G, 3G and LTE) and a local communication module (e.g., RFID, NFC, BLUETOOTH, BLE, etc.).

In one embodiment, the unmanned locker 10 includes a mobile network module, which is configured to perform only minimal communications for operation of the unattended locker 10 with the server 300, thereby reducing data consumption have. For example, the mobile network module of the unmanned locker 10 is used to receive an opening / closing signal for opening and closing the storage box from the server 300, or to transmit authentication information for opening and closing the storage box to the server 300. In addition, the mobile network module of the unmanned locker 10 can also be used to settle the deposit fee.

In one embodiment, the mobile network module of the unmanned locker 10 transmits to the server 300 information about the user who stored the goods in the unmanned locker 10, information about the locker in use, and the status of each locker . In addition, the mobile network module of the unmanned locker 10 remotely controls the unmanned locker 10 when the server 300 fails in the unmanned locker 10, and transmits information for opening and closing the locker to the server 300 And can also be used for transmission and reception.

In one embodiment, the mobile network module of the unmanned locker 10 can also be used to receive information to reserve a deposit from the server 300 and to transfer the usage history of the unmanned locker 10 to the server 300 have.

In another embodiment, data communication involving authentication information for opening and closing the storage can be configured to be performed primarily using the communication portion of the user client 100. [

When the user client 100 transmits the authentication information to the server 300, the server 300 determines whether the unmanned locker 10 is opened or closed and transmits a signal for instructing the opening and closing of the unmanned locker 10 to the unmanned locker 10 ).

In one embodiment, the user client 100 may send information about the locker contained in the unmanned locker 10 and the unmanned locker 10 and the password of the locker to the unmanned locker 10 or the server 300. The unmanned locker 10 or the server 300 can transmit a signal to the unmanned locker 10 to open the locker if the received password matches the password of the locker.

The user client 100 transmits the user authentication information to the unmanned locker 10 or the server 300 using the application installed in the user client 100 and the unmanned locker 10 or the server 300, Can provide information about the archive corresponding to the authenticated user, and can control to open the archive.

In one embodiment, the user client 100 transmits the utilization information to the server 300 by using the unmanned locker 10, and the server 300 accumulates usage information received from the user client 100 The usage history of the unmanned locker 10 can be generated and stored.

In one embodiment, the user client 100 and the unmanned locker 10 may communicate using Wi-Fi. For example, the user client 100 may obtain information about the unmanned locker 10 using Wi-Fi.

The unmanned locker 10 transmits information to be transmitted to the server 300 to the user client 100 via Wi-Fi, and the user client 100 transmits information to the server 300 using the mobile network .

Similarly, the unmanned locker 10 transmits information on the usage fee of the unmanned locker 10 and payment information to the user client 100, and the user client 100 communicates with the server 300 or the external server to perform settlement can do.

In another embodiment, the user client 100 transmits the password of the locker contained in the unmanned locker 10 to the unmanned locker 10 via Wi-Fi. The unmanned locker 10 can unlock the locker if the received password matches the password of the locker. As another example, the unmanned locker 10 transmits the information about the locker and the password received from the user client 100 to the server 300, receives the information about the password match from the server 300, It can be decided whether or not to release it.

In one embodiment, the unmanned locker 10 may generate a password and transmit it to the server 300 or the business client 200 when the article is stored in the storage.

The content described above with respect to the user client 100 may also be applied to the business client 200 or the distributor client 410. [

In one embodiment, the shipper client 410 may open the repository of the unmanned locker 10 through an authentication process, such as that described above with respect to the user client 100.

In another embodiment, the unmanned locker 10 may recognize a tag corresponding to the item 420 to be picked up or delivered, and may open a reserved container corresponding to the recognized tag. As used herein, a " tag " includes a transmitter or a receiver for implementing electronic communication means such as RFID, NFC, BLUETOOTH and BLE, and a two-dimensional code such as a barcode and a QR code.

For example, when the server 300 reserves the locker of the unmanned locker 10, the information about the service corresponding to the reserved locker may be stored and matched with the information about the reserved locker. Information about the stored service that is matched with the information on the reserved storage box can be output as a two-dimensional code, attached to the object 420, or stored in the electronic tag and attached to the object 420. [

The unmanned locker 10 receives information from the tag of the object 420 and determines whether to open or close the corresponding container based on the received information. In addition, the unmanned locker 10 may transmit the received information to the server 300, and may receive whether or not the storage 300 is opened or closed.

The unmanned locker 10 generates a password for the container in which the object 420 is stored and stores the password in the unattended locker 10, the number of the storage box, and the password to the server 300 or the user client 100.

In one embodiment, the shipper client 410 may be a client terminal used in a professional shipping agency.

In this case, the server 300 automatically matches the one or more pieces of the delivery information with the current state of the unmanned locker 10 to specify the container to deliver the goods 420, designates the time zone for delivering the goods 420 And transmit the information designated to the sender client 410. [

9-11 illustrate embodiments utilizing an unmanned locker in accordance with the disclosed embodiments.

Referring to FIG. 9, there is shown a screen of a courier service application using a system for providing services of life using an unmanned locker 10 and an unmanned locker 10.

9, the user can request the courier service after storing the object to be delivered to the unmanned locker 10.

Referring to the application screen 400 shown in FIG. 9, the user requests the courier service using the user client 100, selects a storage box having a larger size than the article to be sent from the unmanned locker 10 , And store the items in the selected storage box.

The user may place the destination on the label with the courier. In another embodiment, a user may transmit a destination using the user client 100 and attach a label sheet to an item to be printed using a label sheet output module provided in the unmanned locker 10.

The user client 100 can receive the number of the storage box and the weight of the object from the user and transmit the number to the server 300. In one embodiment, the information about the size of the article may be replaced with information about the size of the storage box in which the article is stored.

In one embodiment, the unmanned locker 10 may further include at least one module capable of measuring the weight of the items stored in each bin. In this case, even if the user client 100 does not input the weight of the article separately, the unmanned locker 10 can automatically measure the weight of the article and transmit it to the server 300.

The courier cost can be set differently according to the size and weight of the goods, and when the cost is paid, the courier information is delivered to the courier. The courier can find the goods in the unmanned locker (10) and carry out courier delivery.

The manner in which the user client 100 and the courier deliverer store the goods in the unmanned locker 10 and finds the contents follows the contents described above with reference to Figs.

Referring to FIG. 10, an application screen for providing a laundry service according to the disclosed embodiment is shown.

Referring to the application screen 600 shown in FIG. 10, a laundry service method using the unmanned locker 10 is shown.

The user stores the laundry in the unmanned locker 10, and generates order information using the user client 100. The order information may include the quantity and information of each laundry and the user's request. The generated order information is transmitted to the laundry machine through the server 300, and the laundry staff can retrieve the laundry from the storage box 10. The laundry staff transmits the laundry collection information to the server 300 through the application, inspects the laundry, and includes information on the quantity, defect (including the photograph of the defect image) send.

The user client 100 receives the receipt from the server 300, confirms the contents of the receipt, and performs settlement. The payment information is transmitted to the laundry, and the laundry is stored in the unmanned locker 10 after the laundry is finished.

Information that the laundry is stored in the unmanned locker 10 is transmitted to the user client 10 through the server 300, and the user can retrieve the laundry from the unmanned locker 10.

11 is a view for explaining a method of providing a community service using an unmanned locker according to the disclosed embodiment.

Referring to FIG. 11, there is shown an unmanned locker 10 located in a community with the community 700 and its members.

The members of the community 700 can freely use the unmanned locker 10 through the method of using the unmanned locker 10 described in FIGS. 1 to 8, and various community services using the unmanned locker 10 can be planned and provided.

For example, as part of community service, the unmanned locker 10 can be used as a secure courier box.

As another example, the unmanned locker 10 can be used for sharing welfare services including life necessities such as cosmetics, fitness equipment, books, and cultural life and healthcare products.

In one embodiment, the user client 100 may log in to the application to open a locker used in the welfare service of the unmanned locker 10, open the locker and enter the locker by inputting personal information or a password. In order to use the unmanned locker 10, it is necessary to input personal information, so that it is possible to manage the information of the person who rented the article, thereby reducing the loss rate.

In one embodiment, the unmanned locker 10 may also be utilized to share personal items among the community 700 members.

For example, each user can share personal items with members of the community 700 by storing personal items in the unmanned locker 10 and sharing information about the stored items using a web site or an application have.

In addition, users can request sharing of a desired article using a web site or an application, and in response, another user can store and store the article in the unmanned locker 10.

As described above, when an application or a web site capable of building the unmanned locker 10 and the local community 700 using the unmanned locker 10 is used, it is possible to construct a local community through the network. The members of the community 700 can activate the shared economy and the community through the unmanned locker 10 while communicating online through offline communication.

The steps of a method or algorithm described in connection with the embodiments of the present invention may be embodied directly in hardware, in software modules executed in hardware, or in a combination of both. The software module may be a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD- May reside in any form of computer readable recording medium known in the art to which the invention pertains.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

10: Unmanned locker
100: User Client
200: Business Client
300: server

Claims (10)

CLAIMS 1. A method for a computer to provide a service using an unmanned locker,
Receiving a service request from a user client;
Delivering the service request to a business client;
Obtaining information about the service;
Obtaining a schedule of the unmanned locker;
Selecting at least one archive contained in the unmanned locker based on the information about the obtained service and the schedule of the unmanned locker;
Creating a usage schedule of the selected storage; And
Transmitting the location of the selected repository and the created usage schedule to at least one of the user client and the business client; / RTI > The method according to claim 1,
Wherein the step of generating the usage schedule of the selected storage box comprises:
Generating at least one of a pick-up schedule and a delivery schedule of the depository based on the information about the obtained service and the schedule of the selected depository; / RTI > 3. The method of claim 2,
Wherein the transmitting the usage schedule comprises:
Transmitting the pick-up schedule to the user client;
Receiving an archive complete signal corresponding to the pick-up schedule from the unmanned locker or the user client; And
Transmitting the archive completion signal to the business client; ≪ / RTI > 3. The method of claim 2,
Wherein the transmitting the usage schedule comprises:
Transmitting the delivery schedule to the business client;
Receiving a delivery completion signal corresponding to the delivery schedule from at least one of the unmanned locker, the business client and the delivery client; And
Transmitting the delivery completion signal to the user client; ≪ / RTI > 2. The method of claim 1, wherein obtaining the schedule of the unmanned locker further comprises:
Acquiring utilization information and reservation information of the unmanned locker,
Wherein the step of generating the usage schedule of the archive comprises:
Determining a pickup time zone or a delivery time zone based on the information on the obtained service;
Selecting a storage box estimated to be empty in the determined pickup time zone or delivery time zone; And
Reserving use of the selected storage box at the determined delivery time zone; / RTI > 6. The method of claim 5,
The method of claim 1,
Selecting a storage that is estimated to be empty at the determined delivery time zone using the learned model based on the usage history of the unmanned locker; / RTI > A system for providing a service using an unmanned locker,
Unmanned locker; And
Receiving a service request from a user client, communicating the service request to a business client, obtaining information about the service, obtaining a schedule of the unmanned locker, and based on the obtained information and the schedule of the unmanned locker A server for selecting at least one archive, creating a usage schedule for the selected archive, and transmitting the location of the selected archive and the usage schedule of the selected archive to at least one of the user client and the business client; . 8. The method of claim 7,
In the unmanned locker,
Recognizes a tag corresponding to the item to be picked up or delivered, and opens a reserved storage corresponding to the recognized tag. 8. The method of claim 7,
In the unmanned locker,
Generates a password of the selected storage box, and transmits the password to the server or the user client when the delivery to the storage box is completed. A computer program stored in a computer readable recording medium in combination with a computer which is hardware and which is capable of performing the method of claim 1. Description:

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