KR20230155328A - System, method, server, terminal, method and computer program for supporting delivery service - Google Patents

Abstract

A delivery service that includes an output unit that acquires delivery data for delivered products and displays a delivery list including basic delivery information and images of products to be shipped from the current location based on the acquired delivery data. The support terminal is launched.

Description

Delivery business support system, server, terminal, method and computer program {System, method, server, terminal, method and computer program for supporting delivery service}

The present invention relates to technology that supports the delivery work of delivery drivers.

Recently, as the number of users of online shopping malls such as Internet shopping malls and TV home shopping has increased rapidly, the volume of parcel delivery has increased significantly compared to the past, and the delivery service market has also grown.

The entire process by which these delivery items are delivered to customers consists of collection processing, trunk loading, trunk unloading, delivery release, and delivery completion.

Here, collection processing refers to the step of receiving products to be delivered and gathering them at a specific location. And, trunk loading refers to the step of loading and transporting the collected items onto a large truck. And, trunk unloading refers to the step of unloading cargo from large trucks and sorting it so that the parcel can reach its destination. And, delivery shipment refers to the stage where couriers (delivery drivers) classify courier items that have arrived at the terminal in the destination area according to similar regions, load them on a courier vehicle, and deliver them. And, delivery completion refers to the stage where the parcel is finally delivered to the customer.

Among these processes, the process from delivery to completion performed by the delivery driver is the most important process in which the delivery product is ultimately delivered to the customer.

Accordingly, the need for technology to increase the convenience, efficiency, and ease of delivery is expected to increase in recent years.

The present invention was created in response to the above-described need. The present invention proposes a method of providing an advanced and optimized delivery list and delivery list through learning so that even beginners who are not skilled in delivery work can easily handle delivery work. The purpose is to

The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

In order to achieve the above-described object, a delivery support terminal according to an embodiment of the present invention acquires delivery data for the delivered product, and delivers the product to be shipped from the current location based on the obtained delivery data. It includes an output unit that displays a shipment list including basic information and images of products to be shipped.

In addition, the delivery service support server according to an embodiment of the present invention to achieve the above-described object is a product to be shipped from the current location based on delivery data including basic delivery information about the delivered product and a video of the delivered product. When a delivery list representing is generated, it includes a data processing unit that processes delivery registration based on whether the delivery target product included in the delivery list has been shipped.

In addition, the delivery business support method of the delivery business support system according to an embodiment of the present invention to achieve the above-described object includes the steps of generating a delivery list representing products to be shipped at the current location based on delivery data; Including the step of displaying the shipment list including basic delivery information for the product to be shipped and an image of the product to be shipped, and processing shipment registration based on whether the product to be shipped included in the shipment list has been shipped. do.

In addition, a program according to an embodiment of the present invention for achieving the above-described object can be stored in a computer-readable recording medium and execute the delivery business support method of the delivery business support system.

According to various embodiments of the present invention, by providing a delivery list and delivery list interface to the delivery driver's terminal, delivery work convenience can be increased by making it easier for the delivery driver to identify the delivered items.

In addition, according to various embodiments of the present invention, even beginners who are not skilled in delivery work can easily handle delivery work, and the delivery efficiency of delivery drivers can be improved.

Additionally, according to various embodiments of the present invention, a logistics company can accurately measure the actual delivery completion point and enable smooth delivery even in the absence or change of the delivery driver.

Additionally, according to various embodiments of the present invention, the convenience of the delivery driver can be improved by enabling the delivery vehicle to support the work of the delivery driver rather than being a simple means of transportation.

1 is a conceptual diagram showing a delivery service support system according to an embodiment of the present invention.
Figure 2 is a block diagram showing a delivery service support server according to an embodiment of the present invention.
Figure 3 is a block diagram showing a delivery service support terminal according to an embodiment of the present invention.
Figure 4 is a timing diagram showing the operation of the delivery service support system before learning according to an embodiment of the present invention.
Figure 5 is a diagram showing a delivery list according to an embodiment of the present invention.
Figure 6 is a diagram showing a delivery list according to an embodiment of the present invention.
Figure 7 is a diagram showing a change in stopping location for a specific area.
Figure 8 is a flowchart showing the learning data generation process according to an embodiment of the present invention.
Figures 9(a) to (c) are diagrams showing a process for setting a delivery list for a delivery driver according to an embodiment of the present invention.
Figure 10 is a timing diagram showing the operation of the delivery service support system after learning according to an embodiment of the present invention.
Figure 11 is a flowchart showing a learning-based delivery list and delivery list creation process according to an embodiment of the present invention.
Figure 12 is a diagram showing a delivery vehicle according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the attached drawings.

1 is a conceptual diagram showing a delivery service support system according to an embodiment of the present invention. The delivery work support system (1000) starts from “delivery release,” which is the stage in which delivery products that have arrived at the terminal in the destination area are sorted according to similar regions by a delivery driver, loaded on a delivery vehicle, and delivered, until the delivery product is finally delivered to the customer. It may be a system that supports the work of delivery drivers in the process up to the “delivery completion” stage. This delivery business support system 1000 may include a delivery business support server 100 and a delivery business support terminal 200.

The delivery work support server 100 may store, manage, and/or process various data to support the delivery work of delivery drivers. Specifically, the delivery service support server 100 may store, manage, and/or process delivery data for delivered products, shipment data according to shipment of the delivered product, and delivery completion data according to completion of delivery of the delivered product. . Additionally, the delivery service support server 100 can build learning data for system advancement and perform learning.

In addition, the delivery business support server 100 allows users (e.g., control personnel) of the delivery business support server 100 to respond in real time based on at least one of data pre-stored in the server and data acquired from the delivery business support terminal 200. It is possible to provide functions that allow you to control delivery situations such as the location of the delivery vehicle, shipment status, and delivery completion status.

Here, the delivery service support server 100 may be provided and operated by a company that operates the delivery service.

Meanwhile, the delivery work support terminal 200 is a terminal device equipped, installed, or held by the delivery driver performing the delivery work, and receives various data for delivery work support from the delivery work support server 100, and receives the received data. Using data, various information that supports the delivery driver's work can be output according to various conditions such as the delivery driver's location, time, and work environment.

Here, the delivery work support terminal 200 includes a delivery vehicle terminal 200-1 installed on a delivery vehicle driven by a delivery person, a mobile terminal 200-2 that can be carried by the delivery person, and a wearable terminal that can be worn on the body of the delivery person. (200-3) and the like. For example, the mobile terminal 200-2 may be implemented as a smart phone, tablet computer, laptop computer, etc. Additionally, the wearable terminal 200-3 may be implemented as a smart watch, smart glasses, etc.

Figure 2 is a block diagram showing a delivery service support server according to an embodiment of the present invention. Referring to FIG. 2, the delivery service support server 100 includes all or part of a communication unit 110, a database unit 120, a data processing unit 130, a theft detection unit 140, and a notification unit 150. can do.

The communication unit 110 may perform a communication function for the delivery service support server 100. Specifically, the communication unit 110 may support data transmission and reception functions between the delivery service support server 100 and the delivery service support terminal 200.

The database unit 120 can store various programs and data necessary for the function of the delivery service support server 100. In particular, the database unit 120 can store various data processed by the data processing unit 130.

The data processing unit 130 may perform various data processing functions for the operation of the delivery service support server 100. In particular, the data processing unit 130 may process at least one of delivery data, shipment data, delivery completion data, and learning data for the operation of the delivery service support server 100.

The theft detection unit 140 may acquire images captured through a camera installed in a delivery vehicle and detect dangerous objects in the acquired images. As an example, the theft detection unit 140 analyzes images captured through a camera installed in a delivery vehicle to identify people who break into the loading box of the delivery vehicle, people who approach the delivery vehicle within a predetermined distance, and people around the delivery vehicle. A dangerous object including at least one of the people wandering around for more than a period of time can be detected, and when the dangerous object is detected, it can be determined as a theft risk situation with a possibility of theft. In this case, the theft detection unit 140 performs learning based on the delivery driver's characteristic information (e.g., information on the delivery driver's impression and clothing such as glasses/hat/clothes color, etc.) in order to identify the delivery driver with a dangerous object. And based on the learning results, delivery drivers can be identified from other dangerous objects. Meanwhile, if it is determined that the situation is at risk of theft, the theft detection unit 140 may transmit a notification to the delivery service support terminal 200 in connection with the notification unit 150.

The notification unit 150 can provide notifications for guidance to terminals such as delivery drivers, server managers, and customers. Here, notifications may include push notifications, text notifications, voice notifications, and vibration notifications. As an example, text notifications may be performed in a message format, and the messages may include text messages, voice messages, video messages, etc. As another example, the notification unit 150 may be implemented by transmitting a signal to control the operation of an emergency bell provided in a delivery vehicle and providing a notification through the emergency bell.

Meanwhile, in FIG. 2, the delivery service support server 100 includes the database unit 130 as an example, but the present invention is not limited thereto. According to another implementation of the present invention, the database unit 130 can be managed by a company (for example, a logistics company) that manages delivery data for all delivered products, and the delivery work support server 100 is a master It may be implemented to connect to the database 130, which performs a database function, and to download and use various data from the database 130.

Figure 3 is a block diagram showing a delivery service support terminal according to an embodiment of the present invention. Referring to FIG. 3, the delivery service support terminal 200 includes a communication unit 210, a storage unit 220, a location data unit 230, an output unit 240, a voice recognition unit 250, and a data processing unit 260. Includes all or part of

The communication unit 210 may perform a communication function for the delivery service support terminal 200. Specifically, the communication unit 210 may support data transmission and reception functions between the delivery service support server 100 and the delivery service support terminal 200.

The storage unit 220 can store various programs and data necessary for the function of the delivery service support terminal 200. In particular, a “program for executing the delivery service support method on the terminal 200” according to the present invention may be installed and stored in the storage unit 220.

The location data unit 230 may obtain location data of the delivery service support terminal 200. As an example, the location data unit 230 may obtain location data of the delivery service support terminal 200 using a satellite positioning system.

The output unit 240 may display an image or output audio to provide information to the user of the delivery service support terminal 200.

The voice recognition unit 250 converts the spoken voice uttered by the delivery driver into text (STT: Speech to text), and can interpret the meaning of the text through natural language processing (NLU: natural language understanding) of the converted text. . Through this voice recognition unit 250, control of each step of the present invention can be performed by the delivery driver's voice command.

The data processing unit 260 may perform various data processing functions for the operation of the delivery service support terminal 200. Specifically, the data processing unit 260 may process data obtained from the delivery service support server 100, and the output unit 240 may provide various user interfaces (User Interfaces) based on the processing results of the data processing unit 260. interface) can be displayed. As an example, a delivery list and a shipment list to support the work of a delivery driver may be an example of the user interface described above.

Meanwhile, although not shown in FIG. 3, the delivery service support terminal 200 may further include a theft detection unit that performs a theft detection function and a notification unit that performs a notification function. Here, the theft detection unit and the notification unit of the delivery business support terminal 200 may perform the same functions as the theft detection unit 140 and the notification unit 150 of the delivery business support server 100, respectively.

Hereinafter, with reference to the drawings, the operations of the delivery service support server 100 and the delivery service support terminal 200 according to an embodiment of the present invention will be described in more detail.

Figure 4 is a timing diagram showing the operation of the delivery service support system before learning according to an embodiment of the present invention. Referring to FIG. 4, the database unit 120 of the delivery service support server 100 may store delivery data (S11).

Specifically, the data processing unit 130 may generate and manage delivery data for delivered products, and the database unit 120 may store the delivery data processed by the data processing unit 130. Here, delivery data may include basic delivery information and delivery product video as essential information. Additionally, the delivery data may further include delivery identification information and delivery product type information in addition to the above essential information.

Here, the basic delivery information may include the recipient's address/name/contact information and the sender's address/name/contact information.

Additionally, the delivery identification information is information that integrates basic delivery information to enable identification, and may include at least one of a waybill number, a barcode, and a QR code.

Additionally, the delivered product image may include a plurality of images generated by shooting while changing the shooting conditions of the delivered product. Here, shooting conditions may include point of view (POV), distance, field of view (FOV), etc.

Here, the delivered product image may be an image that includes at least two or more aspects of the delivered product. Here, the side may refer to the remaining surfaces excluding the upper and lower surfaces. For example, based on a cube, the side surface may be a concept that includes the remaining four surfaces excluding the upper and lower surfaces.

Additionally, the delivered product image may be an image that includes at least two sides and a top surface.

This delivery product video may include at least two images taken from different directions.

That is, the delivered product may be photographed through a camera during at least one of the processes of collection processing, main line loading, main line unloading, and loading on the delivery vehicle, and the delivered product video may be a plurality of images taken according to different shooting conditions during these various processes. Can include video.

Here, collection processing refers to the step of receiving products to be delivered and gathering them at a specific location. And, trunk loading refers to the step of loading and transporting the collected items onto a large truck. And, trunk unloading refers to the step of unloading cargo from large trucks and sorting it so that the parcel can reach its destination. And, delivery shipment refers to the stage where couriers (delivery drivers) classify courier items that have arrived at the terminal in the destination area according to similar regions, load them on a courier vehicle, and deliver them. And, delivery completion refers to the stage where the parcel is finally delivered to the customer.

Meanwhile, for the efficiency of managing the plurality of delivery product images described above, the data processing unit 130 processes images of the delivery product images stored in the database unit 120 to display pictures, letters, and images displayed on the box or the product itself. Images containing features such as symbols, invoices, etc. can be detected. Then, the data processing unit 130 gives priority to delivery product images with a large number of features based on the number of features of the delivery product image, or deletes the remaining delivery product images excluding delivery product images with a predetermined number of features or more. It can be handled.

In this case, only the high-priority delivery product video or the delivery product video that has not been deleted is transmitted from the delivery service support server 100 to the delivery service support terminal 200, and is sent to the delivery service support terminal 200 as a shipment list. can be displayed.

Meanwhile, the delivery product type information may include at least one of packaging type information, packaging shape information, packaging size information, and packaging color information.

Specifically, the data processing unit 130 processes the image of the delivered product to obtain packaging type information indicating the packaging type of the delivered product (e.g., paper box, vinyl, Styrofoam, etc.), and information about the packaging packaging the delivered product. At least one of packaging shape information indicating the shape, packaging size information indicating the size of the packaging packaging the delivery product, and packaging color information indicating the color of the packaging packaging the delivery product can be generated. As an example, the data processing unit 130 detects the outline of the delivered product from the image of the delivered product, and the shape of the detected outline and the type of packaging (e.g., hexahedron/non-hexahedron, presence or absence of a handle, upper surface) Packaging type information and packaging shape information can be generated depending on the presence or absence of plastic, the location of the invoice, etc.

Returning to FIG. 4, the data processing unit 260 of the delivery service support terminal 200 may determine whether delivery has begun (S12). For example, when a delivery start command is input through the delivery service support terminal 200, the data processing unit 260 of the delivery service support terminal 200 may determine that delivery has started.

And, the communication unit 110 of the delivery service support server 100 may transmit the stored delivery data to the delivery service support terminal 200 (S13). Although not shown in FIG. 4, when the data processing unit 260 of the delivery service support terminal 200 determines that delivery has begun, the communication unit 210 of the delivery service support terminal 200 operates the delivery service support server 100. A delivery start notification may be transmitted, and in this case, the communication unit 110 of the delivery service support server 100 may transmit delivery data to the delivery service support terminal 200.

As an example, the data processing unit 110 of the delivery service support server 100 may detect delivery data for all delivery products stored in the database unit 120 and transmit it to the delivery service support terminal 200.

As another example, the data processing unit 110 of the delivery service support server 100 detects delivery data for delivery products loaded on the delivery vehicle among the delivery data for all delivery products stored in the database unit 120, and detects the detected delivery data. Delivery data can be transmitted to the delivery service support terminal 200.

As another example, the data processing unit 110 of the delivery service support server 100 selects a delivery destination within a predetermined distance from the location of the delivery service support terminal 200 among the delivery data for all delivery products stored in the database unit 120. Delivery data having (or delivery address, recipient's address) may be detected, and the detected delivery data may be transmitted to the delivery service support terminal 200. In this case, the delivery business support server 100 monitors the location of the delivery business support terminal 200 in real time, and whenever the location of the delivery business support terminal 200 changes, it monitors the location of the delivery business support terminal 200. It can be implemented to detect matching delivery data and transmit it to the delivery service support terminal 200.

The data processing unit 260 of the delivery service support terminal 200 generates a delivery list based on delivery data received from the delivery service support server 100, and the output unit 240 may display the generated delivery list. . Here, an example of the delivery list displayed on the output unit 240 may be as shown in FIG. 5.

Figure 5 is a diagram showing a delivery list according to an embodiment of the present invention. Referring to FIG. 5, the output unit 240 of the delivery service support terminal 200 may display a delivery list indicating the delivery route 53 and delivery summary information 51 and 52 for each pack on a map. .

Here, the map may be implemented as a two-dimensional map as shown in FIG. 5, or may be implemented as a three-dimensional map, satellite map, etc. depending on the implementation example.

Additionally, the delivery summary information 51 and 52 for each pack may include pack order number information 51 indicating the order number of the pack, and pack delivery number information 52 indicating the number of deliveries in the corresponding pack.

Here, “pack” refers to unit delivery classified by stopping location, and a plurality of unit deliveries may be made together from the start of delivery to the end of delivery.

“Packs” are classified based on the stopping location of the delivery vehicle, so if the stopping locations are different, they may be classified into different packs. Accordingly, in this specification, “pack” and “stationary position” may be used with the same meaning.

The dotted circle 55 in the delivery list shown in FIG. 5 indicates that 'Building 104' is the 5th pack (or 5th stopping location) 55-1 and that there are 4 delivery products (55-2).

Meanwhile, the “pack” that the delivery driver has completed delivery from the delivery list in FIG. 5 may be manually or automatically deleted.

In addition, when the delivery driver selects at least one of the pack 55-1 and the delivery summary information 55-2 from the delivery list of FIG. 5, the output unit 240 displays the delivery product assigned to the pack 55-1. You can display a shipment list that includes all of these.

Meanwhile, although not shown in FIG. 5, the delivery list may be implemented to display the delivery time, expected delivery completion time, number of processed deliveries compared to the total number of deliveries, and number of remaining packs compared to the total number of packs.

Returning to Figure 4, the data processing unit 260 of the delivery service support terminal 200 acquires the location data of the delivery service support terminal 200 from the location data unit 230, and the acquired location data is close to the delivery destination. It is possible to determine whether or not it is done (S15).

If approaching within a predetermined distance (S15: Y), the output unit 240 of the delivery service support terminal 200 displays a shipment indicating the product to be shipped from the delivery vehicle at the current location of the delivery service support terminal 200. A list can be created and displayed on the output unit 240 (S16). Here, an example of the delivery list displayed on the output unit 240 may be as shown in FIG. 6.

Figure 6 is a diagram showing a delivery list according to an embodiment of the present invention. Figure 6(a) is an example of a delivery list displayed when the delivery driver arrives at the second pack shown in Figure 5. The output unit 240 contains address information of the product to be shipped from 'Building 102', A shipment list including shape information of products to be shipped and images of products to be shipped can be displayed.

Meanwhile, in Figure 6(a), for convenience, the explanation is based on apartments that can be divided into blocks, but this is only an example of the present invention. In the case of a residential area where it is difficult to distinguish by blocks, the road name and building number of the road name address, Delivery lists and shipment lists can also be displayed based on the characteristics of the address system, such as the street number of the address.

Additionally, in the 'product video item' of the shipment list in FIG. 6(a), only images of products to be shipped that are set to a high priority in the delivery service support server 100 or have not been deleted may be displayed.

This delivery list of the present invention can improve the delivery driver's convenience by making it easier for the delivery driver to identify the product.

In other words, in the process of preparing for delivery, the delivery driver loads the products assigned to him among the various products stored in the terminal (logistics warehouse) into the delivery vehicle and remembers the characteristics of each product by loading location for convenience of future shipment. effort is made for However, because it relies on the delivery driver's memory, there are problems with low accuracy and limitations in memory persistence.

However, according to the present invention, the delivery list is configured to output the image and shape information of the product to be shipped together, so that the delivery driver can quickly visually identify the product in the loading box of the delivery vehicle, and the delivery driver's product The time required for classification can be shortened. In other words, delivered products are most often packaged in hexahedral boxes, either on the side of the box where the invoice is attached (for example, the invoice is usually attached to the top) or on the side of the box that has a feature (for example, the invoice is usually attached to the top). For example, if the box (where pictures, text symbols, etc. are displayed) is displayed on the delivery driver's delivery work support terminal 200, product identification by the delivery driver can be made easier.

Meanwhile, the image of the product to be shipped may be an image that includes at least two or more aspects of the product to be shipped.

Additionally, the image of the product to be shipped may be an image that includes at least two sides and a top surface of the product to be shipped.

Figure 6(b) is an example where at least two images 62 and 63 of products to be shipped containing at least two side and top surfaces of the products to be shipped are displayed in the shipment list.

In this case, at least two product images 62 and 63 to be shipped may be images taken from different directions. Here, the different directions may be at least two directions, and each of the at least two directions may be a shooting direction to include at least two sides of the product to be shipped. Accordingly, the image of the product to be shipped in the shipment list may be displayed including all four side images taken from at least two directions.

For example, as shown in FIG. 6(c), the image captured in the first direction 64 includes a first side (or left side) 68-1 and a second side (or back) 68-2. The image captured in the second direction 65 may include the second side 68-2 and the third side (or right side) 68-3, and the image captured in the third direction 66 The image taken in the fourth direction 67 may include the third side 68-3 and the fourth side (or front) 68-4, and the image taken in the fourth direction 67 may include the fourth side 68-4 and the fourth side 68-4. It may include a first side 68-1.

In this case, the second direction 65, third direction 66, and fourth direction 67 may each be different directions. That is, directions different from the first direction 64 may include the second direction 65, the third direction 66, and the fourth direction 67, and based on the second direction 65 The different directions may include a first direction 64, a third direction 66, and a fourth direction 67, and based on the third direction 66, the different directions may include a second direction 65, It may include a first direction 64 and a fourth direction 67, and directions different from the fourth direction 67 include a second direction 65, a third direction 66, and a first direction ( 64) may be included.

Additionally, images captured in different directions may include images containing different feature information.

According to the present invention, the delivery driver can easily visually check the image of each direction of the product to be shipped through the delivery list, thereby improving the delivery driver's ability to identify the delivered product.

Meanwhile, the above-described delivery list may be configured to be set for each stopping location. Setting of such a delivery list will be described in more detail with reference to FIGS. 7 to 9.

Figure 7 is a diagram showing an example of changing the stopping location for a specific area.

The environment in which delivery drivers drive delivery vehicles for delivery is roads formed within apartment complexes, and there are many routes that are not data-coded into map data, which may be different from data-coded roads such as general roads on which vehicles typically drive. Accordingly, most road structures do not allow the location of delivery vehicles to be known using map data for general route guidance.

Additionally, the environment in which delivery drivers drive delivery vehicles for delivery frequently changes in real time due to road construction, road control, etc.

Additionally, the stopping location of the delivery driver frequently changes depending on the experience of the delivery driver. For example, rather than having a delivery driver move a vehicle from the first stopping location to the second stopping location, it is better for the delivery driver to ship all the products at the first stopping location and the products at the second stopping location and deliver them on foot. You can realize through experience that it is comfortable.

In these various examples, the delivery driver's stopping location may change.

Figure 7 is an example of a change in stopping location. In the past, when delivering '202-dong', the delivery driver stopped and delivered on the road (81) formed inside the apartment, but '202-dong' stopped in front of '201-dong' and ' Through experience, we can realize that it is easier to deliver through the road (82) formed at the back gate of Building 201.

As another example, in the past, 'Building 202' could be delivered by stopping at Road 81 through the road formed inside the apartment, but now, due to construction on Road 81, access has been blocked, and 'Building 202' The situation may change to require delivery to the road (82) formed at the back gate of Building 201.

In this case, if the delivery list is not learned according to the change in the stopping location, the delivery driver stops the delivery vehicle in front of Building 201 and alternately looks at the delivery list for Building 201 and Building 202, and selects the products delivered in Building 201 and Building 202. must be shipped, causing inconvenience to the delivery driver.

To solve this problem, in the present invention, learning data for recommending an optimal delivery list and shipment list can be generated, and learning can be performed using the generated learning data. Here, the generation of learning data will be described in more detail with reference to FIGS. 8 and 9.

Figure 8 is a flowchart showing a method of generating learning data according to an embodiment of the present invention. Figures 9(a) to (c) are diagrams showing a process for setting a delivery list for a delivery driver according to an embodiment of the present invention.

First, as in step S16 of FIG. 4, the output unit 240 of the delivery service support terminal 200 may display a shipment list corresponding to the location (or current pack) of the delivery service support terminal 200. As in the example shown in Figure 7, when the delivery vehicle is currently stopped in front of 'Building 201', the output unit 240 of the delivery service support terminal 200 displays the shipment list of 'Building 201' as shown in Figure 9(a). can be displayed.

Here, the delivery list can be implemented so that not only the current stopping location but also the delivery list of other stopping locations (or other packs) can be viewed.

Accordingly, the output unit 240 of the delivery service support terminal 200 may output a delivery list of a stopping location (or a different pack) other than the current stopping location (S110). Here, the other stopping position may be a position corresponding to the next stopping position based on the current stopping position, but is not limited to this. For example, when area 91 in FIG. 9(a) is selected by the delivery driver, a delivery list corresponding to 'Building 202', the next stopping location, as shown in FIG. 9(b) may be displayed. Additionally, when area 92 in FIG. 9(b) is selected by the delivery driver, a delivery list corresponding to '201 Building', the current stopping location, as shown in FIG. 9(a) can be displayed.

In addition, the data processing unit 260 of the delivery service support terminal 200 can move and set the delivery list of another stopping location to the delivery list of the current stopping location (S120). For example, in the delivery situation shown in Figure 7, the delivery product of 'Building 201' and the delivery product of 'Building 202' must be shipped at the same time from 'Building 201', which is the current stopping location, so the delivery product of 'Building 202', which is the next stopping location, must be shipped at the same time. It is necessary to set the delivery list by moving the products subject to delivery included in the delivery list of 'to the delivery list of '201 Building', the current stopping location. Therefore, when the delivery driver selects area 93 in Figure 9(b), the products to be shipped included in the shipment list of 'Building 202', the next stopping location, are moved to the shipping list of 'Building 201', the current stopping location. It can be set, and in this case, a shipping list like Figure 9(c) can be created.

Meanwhile, in S120 and FIG. 9(b), setting the delivery list itself to move is explained as an example, but an editing function that selects some products included in the delivery list and moves them to the current delivery list may also be possible.

Additionally, the data processing unit 260 of the delivery service support terminal 200 may generate learning data including delivery destination information for each stopping location (S130). For example, when a shipment list as shown in FIG. 9(c) is created according to the movement setting of the shipment list, the data processing unit 260 of the delivery service support terminal 200 includes the delivery destination '201-dong' and the current stopping location data. Delivery destination information can be created for each stop location that maps ‘Dong 202’. As another example, the data processing unit 260 of the delivery service support terminal 200 includes the address system characteristics of the delivery destination (e.g., road name and building number in the case of a road name address, and street number in the case of a street number address) to the current stop location data. Delivery destination information can also be created for each mapped stopping location.

Meanwhile, Figure 8 is an example of learning data being generated according to the delivery driver's input to move and set the delivery list, but is not limited to this.

According to another embodiment of the present invention, learning data may be automatically generated without manual input from the delivery driver. As an example, the data processing unit 260 of the delivery service support terminal 200 processes the first delivery corresponding to the first stopping position in a state where the delivery driver stops the delivery vehicle at the first stopping position based on the location data of the delivery driver. If it is determined that product shipment at the destination and product shipment at the second delivery destination corresponding to the second stopping location are in progress, the data processing unit 260 of the delivery service support terminal 200 stores the first delivery destination and the product at the first stopping location. Delivery destination information can be generated for each stopping location that maps the second delivery destination.

Returning to FIG. 4, at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200 determines whether the product to be shipped included in the shipment list has been shipped. (S17).

Here, “shipping” may mean unloading the delivery product loaded into the loading box of the delivery vehicle from the loading box. Additionally, whether the product has been shipped may include shipped or not shipped.

To describe in more detail the method (S17) of determining whether the above-mentioned product to be shipped has been shipped, as an example, the data processing units 130 and 260 may use a camera installed in a delivery vehicle or a delivery work support terminal ( 200) acquires an image of a delivered product captured through a camera provided in the camera, and uses at least one of the characteristics of the acquired image and the shape information generated according to image processing to the characteristics of the delivered product image included in the delivery data of the product to be shipped and Delivery can be determined by comparing with at least one of the delivery product type information. Here, the camera provided in the delivery vehicle may be installed on the top of the delivery vehicle loading box.

As another example, when shipping a product to be shipped, the data processing units 130 and 260 use a camera installed in the delivery vehicle or a camera installed in the delivery work support terminal 200 to display codes such as barcodes and QR codes included in the invoice of the shipped product. When the information is recognized, shipment can be determined by comparing the recognized code information with the delivery identification information included in the delivery data of the product to be shipped.

As another example, the delivery driver may enter shipped and non-delivered items in the delivery list displayed on the delivery service support terminal 200, and the data processing units 130 and 260 may determine whether or not the product has been shipped based on the delivery driver's input information. .

Meanwhile, when it is determined whether shipment has been completed (S17), the delivery service support terminal 200 may transmit learning data generated according to the process of FIG. 8 to the delivery service support server 100 (S18).

Here, the learning data may include delivery destination information for each stopping location. In this case, the data processing unit 130 of the delivery service support server 100 may generate a learned learning model using the received training data (S19).

Here, the learning model generated through learning is a model that predicts the delivery destination for each expected stopping location, and the expected stopping location data may be a stopping location optimized for efficient delivery in the corresponding area.

The expected stopping location data before learning can be calculated at a nearby location based on the delivery recipient's address, and by gathering and learning the stopping location data, it can be advanced to an optimized expected stopping location for efficient delivery.

Meanwhile, the data processing unit 130 of the delivery service support server 100 generates shipment data for the product to be shipped according to the shipment determination result, and stores the generated shipment data in the database unit 120 to register shipment. It can be performed (S20).

Here, the shipping data may include stop location data, information on whether the product to be shipped has been shipped, information on the shipping time of the product to be shipped, and an image of the product to be shipped.

The above-described video of the shipped product can be used to confirm whether the product to be shipped has been shipped in preparation for future disputes due to loss or mistake.

Meanwhile, for undelivered products, the data processing unit 130 detects delivery data for undelivered products, and links with the notification unit 150 to provide information about undelivered products to the delivery driver's delivery work support terminal 200. can be provided.

Returning to FIG. 4, at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200 may determine whether delivery has been completed (S21). Here, the method of determining whether delivery has been completed (S21) will be described in more detail. As an example, the data processing unit 130 detects movement of a stopped delivery vehicle, detection of the closing of the loading box door of the delivery vehicle, and delivery by the delivery driver. Delivery may be determined to be complete when at least one condition is satisfied during a predetermined period of time from the time of completion input and shipment. Additionally, the data processing unit 130 may determine that delivery has been completed when a delivery photo for the shipped product is obtained from the delivery driver's delivery service support terminal 200 or the customer terminal 300. As an example, referring to FIG. 6 , when the delivery driver inputs the “pack delivery complete” button 61, the data processing units 130 and 260 may perform delivery completion processing.

Meanwhile, the data processing unit 130 generates delivery completion data for the delivered product according to the delivery completion judgment result, and stores the generated delivery completion data in the database unit 120 of the delivery work support server 100 to complete delivery. Registration can be performed (S22). Here, delivery completion data may include stopping location data, information on whether delivery of the delivery product has been completed, and delivery completion time information.

In this way, by storing the delivery completion time, it is possible to prevent cases in which the delivery driver arbitrarily prioritizes delivery completion before delivery of the actual product is completed.

Additionally, the data processing units 130 and 260 may detect delivery data for the delivered product and provide information on the delivered product to the customer's terminal 300 in conjunction with the notification unit 150.

In this case, the notification unit 150 or the notification unit (not shown) of the delivery service support terminal 200 may provide a notification to the customer's terminal 300 on a per-stop location basis. That is, the data processing unit 130 can determine whether delivery has been completed on a per-stop location basis, and simultaneously provide a notification to the customer of the delivered product corresponding to the stop location when delivery is completed.

Meanwhile, the above-mentioned delivery data, shipment data, delivery completion data, and learning data are data formed at different times depending on the delivery status of the delivered product. Delivery data, shipment data, delivery completion data, and learning data for the same product are They can be stored in conjunction with each other.

Additionally, the data processing unit 130 may appropriately filter and process various data stored in the database unit 120 according to the subject needing the data and provide the data to the needy subject. As an example, the data processing unit 130 classifies and provides delivery data for all delivered products stored in the database unit 120 to the delivery work support terminal 200 online, or the delivery work support terminal 200 prescribes it. It can be configured to be downloaded and available within the platform.

Meanwhile, in Figure 4, the delivery service support terminal 200 receives various data for creating a list from the delivery service support server 100, and the delivery service support terminal 200 generates and displays a list based on the received data. Although this is explained as an example, it is not limited to this. According to another embodiment of the present invention, the delivery service support server 100 creates a list using various data stored in the database unit 120 and transmits the generated list to the delivery service support terminal 200 to perform the delivery service. It may also be implemented by displaying a list on the support terminal 200.

Figure 10 is a timing diagram showing the operation of the delivery service support system after learning according to an embodiment of the present invention. FIG. 4 shows the operation of the system 1000 before learning using learning data is performed, and FIG. 10 shows the operation of the system 1000 after learning using learning data is performed. In explaining FIG. 10, a detailed description of parts that overlap with FIG. 4 will be omitted, and only parts that differ depending on learning will be described in detail.

Referring to FIG. 10, first, the database unit 120 of the delivery service support server 100 may store delivery data to support the delivery work of delivery drivers and delivery destination data for each expected stop location generated according to learning ( S31). And, the data processing unit 260 of the delivery service support terminal 200 can determine whether delivery of the delivery vehicle has begun (S32).

When delivery begins, the data processing unit 130 of the delivery business support server 100 detects the delivery data stored in the database unit 120 and delivery destination data for each expected stop location, and supports the delivery business through the communication unit 110. It can be transmitted to the terminal 200 (S33).

Here, the delivery destination data for each expected stop location may be data calculated from a learning model learned based on the learning data.

In this case, the data processing unit 260 of the delivery service support terminal 200 generates a delivery list using the received delivery data and delivery destination data for each expected stop location, and the output unit 240 displays the generated delivery list. can do.

In addition, the data processing unit 260 of the delivery service support terminal 200 acquires the location data of the delivery service support terminal 200 from the location data unit 230, and the obtained location data approaches the expected stopping location within a predetermined distance. It is possible to determine whether or not it is done (S35).

If it approaches within a predetermined distance (S35: Y), the data processing unit 260 of the delivery service support terminal 200 displays a shipment indicating the product to be shipped from the delivery vehicle at the current location of the delivery service support terminal 200. A list can be created and displayed on the output unit 240 (S36).

Here, the creation of the delivery list and shipping list will be described in more detail with reference to FIG. 12.

Figure 11 is a flowchart showing a learning-based delivery list and delivery list creation process according to an embodiment of the present invention. Each step shown in FIG. 12 may be performed by at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200.

Referring to FIG. 11, the data processing units 130 and 260 may classify delivery data by expected stop location based on delivery destination data for each expected stop location (S210). As an example, as shown in Figure 9 (C), when 'Building 201' and 'Building 202' are learned to be shipped from the same stopping location and delivery destination data for each expected stopping location is generated, the data processing units 130 and 260 will store 'Building 201' and 'Building 202'. '' delivery data and '202-dong' delivery data can be classified into the same expected stop location.

In addition, the data processing units 130 and 260 may determine whether delivery data of multiple delivery destinations are assigned to the expected stopping location according to classification (S220).

If delivery data of a plurality of delivery destinations is assigned to the expected stop location (S220:Y), a delivery list and a shipment list can be created using the delivery data of each of the different assigned delivery destinations (S230). As an example, if delivery data for 'Dong 201' and 'Dong 202' are assigned to the first expected stop location, 'Delivery data for Building 201' and 'Delivery data for Building 202' are combined, and the combined delivery data is used. You can create a delivery list and shipment list.

However, when delivery data of a single delivery destination is assigned to the expected stop location (S220:N), a delivery list and shipment list can be created using the delivery data of the assigned single delivery destination (S240). For example, if delivery data for only 'Building 201' is assigned to the first expected stop location, a delivery list and delivery list can be created using only 'delivery data for Building 201'.

Here, an example of the delivery list generated by the data processing units 130 and 260 may be as shown in FIG. 5. However, while the delivery list before learning is provided by calculating the expected stopping location based on the delivery recipient's address, the delivery list after learning provides delivery summary information by merging delivery destinations by predicted optimal stopping location, thereby providing delivery summary information. Drivers can more conveniently check the delivery summary.

Additionally, an example of the delivery list generated by the data processing units 130 and 260 may be as shown in FIG. 6. However, while the delivery list before learning is provided by calculating the expected stopping location based on the delivery recipient's address, the shipping list after learning must merge delivery destinations by predicted optimal stopping location and release from the delivery driver's current location. By providing information about the product to be shipped, delivery drivers can more conveniently check the product to be shipped from the current location.

Returning to FIG. 10, at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200 determines whether the product to be shipped included in the shipment list has been shipped. (S37).

In addition, when it is determined whether shipment has been completed (S37) and learning data is generated in the data processing unit 260 of the delivery service support terminal 200 according to the delivery list setting of the delivery driver, etc., the communication unit of the delivery service support terminal 200 ( 210) may transmit learning data to the delivery service support server 100 (S38).

In this case, the data processing unit 130 of the delivery service support server 100 may update the learning model based on the received learning data (S39).

Meanwhile, the data processing unit 130 of the delivery service support server 100 generates shipment data for the product to be shipped according to the shipment determination result, and stores the generated shipment data in the database unit 120 to register shipment. It can be performed (S40).

And, at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200 may determine whether delivery has been completed (S41). Then, the data processing unit 130 of the delivery service support server 100 generates delivery completion data for the delivered product according to the delivery completion determination result, and stores the generated delivery completion data in the database unit 120 to complete delivery. Registration can be performed (S42).

In addition, at least one of the data processing unit 130 of the delivery service support server 100 and the data processing unit 260 of the delivery service support terminal 200 detects delivery data for the delivered product, and sends the notification unit 150 and By linking, information about delivered products can be provided to the customer's terminal 300 (S43).

Meanwhile, in Figure 10, as an example, the delivery service support terminal 200 receives various data for creating a list from the delivery service support server 100 and the delivery service support terminal 200 creates a list based on the received data. Although described, implementation examples of the present invention are not limited thereto. According to another implementation of the present invention, the delivery service support server 100 creates a list using various data stored in the database unit 120, and transmits the generated list to the delivery service support terminal 200 to enable delivery. It may also be implemented by displaying a list on the business support terminal 200.

Figure 12 is a diagram showing a delivery vehicle according to an embodiment of the present invention. Referring to FIG. 12, the delivery truck 400 may include a camera 290 installed on the top of the loading box and a delivery work support terminal 200 installed on the door of the loading box of the delivery truck 400.

Here, the camera 290 can generate a captured image of the inside of the loading box. The video captured by the camera 290 can be used as data for determining whether to ship or not, determining the risk of theft, etc.

Additionally, the delivery service support terminal 200 of the delivery truck 400 transmits and receives data with the delivery service support server 100 and can perform the delivery service support method described above.

Here, the installation location of the camera 290 and the delivery service support terminal 200 is only an example of the present invention, and is not limited thereto. According to another implementation of the present invention, the camera 290 may be installed on the door and the delivery service support terminal 200 may be installed on the driver's seat so that the delivery driver can check while driving.

In addition, in Figure 12, the delivery vehicle is described as an example of a truck, but the delivery vehicle is not limited thereto. The delivery vehicle according to the present invention can be implemented by any means as long as it can transport the delivery product. As an example of another implementation, the delivery vehicle can be implemented as a car, van, motorcycle, bicycle, etc.

As described above, according to the various embodiments of the present invention described above, by providing a delivery list and delivery list interface to the delivery driver's terminal, the convenience of delivery work can be increased by making it easier for the delivery driver to identify the delivered items.

In addition, according to the various embodiments of the present invention described above, even beginners who are not skilled in delivery work can easily handle delivery work, and the delivery efficiency of delivery drivers can be improved.

In addition, according to the various embodiments of the present invention described above, the logistics company can accurately measure the actual delivery completion point and enable smooth delivery even in the absence or change of the delivery driver.

In addition, according to the various embodiments of the present invention described above, the convenience of the delivery driver can be increased by enabling the delivery vehicle to support the work of the delivery driver rather than being a simple means of transportation.

So far, the present invention has been examined focusing on its preferred embodiments. All embodiments and conditional examples disclosed throughout this specification are intended to help readers understand the principles and concepts of the present invention by those skilled in the art. It will be understood that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention.

Therefore, the disclosed embodiments should be considered from an illustrative rather than a restrictive perspective. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the equivalent scope should be construed as being included in the present invention.

Meanwhile, the delivery service support method according to various embodiments of the present invention described above may be implemented as a program and provided to servers or devices. Accordingly, each device can access the server or device where the program is stored and download the program.

Additionally, the methods according to various embodiments of the present invention described above may be implemented as a program and stored in various non-transitory computer readable media. A non-transitory readable medium refers to a medium that stores data semi-permanently and can be read by a device, rather than a medium that stores data for a short period of time, such as registers, caches, and memories. Specifically, the various applications or programs described above may be stored and provided on non-transitory readable media such as CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, etc.

In addition, although preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the invention pertains without departing from the gist of the present invention as claimed in the claims. Of course, various modifications can be made by those skilled in the art, and these modifications should not be understood individually from the technical idea or perspective of the present invention.

100: Delivery work support server 200: Delivery work support terminal
300: Customer terminal

Claims (27)

A delivery work support terminal including an output unit that displays a shipment list including basic delivery information and images of products to be shipped from the current location based on delivery data about the products to be shipped. According to paragraph 1,
The video of the product to be shipped is an image that includes the characteristic parts of the product to be shipped,
A delivery service support terminal, wherein the characteristic portion includes at least one of a picture, text, symbol, and invoice displayed on the packaging of the product to be shipped or the product itself to be shipped. According to paragraph 1,
The video of the product subject to shipment is,
A delivery business support terminal characterized in that the video includes at least two or more aspects of the product to be shipped. According to paragraph 1,
The video of the product subject to shipment is,
A delivery service support terminal characterized by an image containing at least two sides and an upper surface of the product to be shipped. According to paragraph 1,
The video of the product subject to shipment is,
A delivery service support terminal comprising four side images taken from at least two directions. According to paragraph 1,
The shipment list further includes information on the type of delivery product,
The delivery product type information includes at least one of packaging type information, packaging shape information, packaging size information, and packaging color information. According to paragraph 1,
The delivery list can be set for each stopping location,
A delivery service support terminal further comprising a data processing unit that generates learning data including delivery destination information for each stopping location according to the settings of the delivery list. In clause 7,
A delivery service support terminal characterized in that the delivery list can be viewed by the stopping location. In clause 7,
The data processing unit,
A delivery service support terminal characterized in that it classifies the delivery data by expected stop locations using delivery destination data for each expected stop location generated based on the learning data. According to clause 9,
The data processing unit,
When delivery data of a plurality of delivery destinations is assigned to the expected stopping location according to the classification, a delivery work support terminal is characterized in that it generates a delivery list using the delivery data of each of the assigned different delivery destinations. According to paragraph 1,
The output unit,
A delivery service support terminal that displays a delivery list indicating delivery summary information for each delivery route and expected stopping location on a map based on the obtained delivery data. According to clause 11,
The above delivery summary information is:
A delivery service support terminal comprising a delivery sequence number and number of delivered products for each expected stop location. According to paragraph 1,
a theft detection unit that determines a theft risk situation by detecting dangerous objects based on images captured through a camera installed in the delivery vehicle; and
A delivery service support terminal further comprising a notification unit that provides a notification when the theft risk situation is determined. When a delivery list representing products to be shipped from the current location is created based on delivery data including basic delivery information about the delivered product and a video of the delivered product, it is based on whether the products to be shipped included in the shipment list have been shipped. A delivery service support server that includes a data processing unit that processes shipment registration. According to clause 14,
The data processing unit,
Detect an image containing characteristic parts of the delivered product from a previously stored delivered product image,
The delivery service support server, wherein the characteristic portion includes at least one of a picture, text, symbol, and invoice displayed on the packaging of the delivery product or the delivery product itself. According to clause 14,
The delivery data further includes delivery product type information,
A delivery service support server wherein the delivery product type information includes at least one of packaging type information, packaging shape information, packaging size information, and packaging color information. According to clause 14,
The data processing unit,
To register the shipment, generate shipment data for the product to be shipped,
The shipment data is,
A delivery service support server comprising a video of a product to be shipped captured during shipment from the specific delivery vehicle. According to clause 17,
The data processing unit,
A delivery service characterized by generating type information of a product to be shipped from an image of a product to be shipped, comparing the generated type information of a product to be shipped with delivery data of the product to be shipped included in the shipment list, and determining whether or not the product has been shipped. Support server. According to clause 14,
The data processing unit,
A delivery service support server characterized in that it determines delivery completion based on at least one of the movement of the current location, the closing of the loading box door of the delivery vehicle, and the delivery completion input from the delivery driver. According to clause 14,
The data processing unit,
A delivery service support server, characterized in that it receives learning data including delivery destination information for each stopping location generated as the shipment list is set in the delivery service support terminal from the delivery service support terminal. According to clause 20,
The data processing unit,
A delivery service support server characterized in that it generates a learning model that predicts delivery destination data for each expected stop location based on the learning data. According to clause 21,
The data processing unit,
Classifies the delivery data by expected stop location using the delivery destination data for each expected stop location, and uses the classification results to create a delivery list showing the delivery route and delivery summary information by expected stop location on the delivery list or map. A delivery service support server characterized in that: According to clause 22,
A delivery service support server, wherein the generated shipment list or the generated delivery list is transmitted to the delivery service support terminal and displayed on the delivery service support terminal. According to clause 14,
The delivery service support terminal receives the delivery data from the delivery service support server,
A delivery service support server, characterized in that the delivery list is created in a delivery service support terminal that receives the delivery data. According to clause 14,
a theft detection unit that determines a theft risk situation by detecting dangerous objects based on images captured through a camera installed in the delivery vehicle; and
A delivery service support server further comprising a notification unit that provides a notification to the delivery service support terminal when the theft risk situation is determined. In the delivery business support method of the delivery business support system,
Creating a delivery list representing products to be shipped from the current location based on delivery data;
Displaying a delivery list including basic delivery information about the product to be shipped and a video of the product to be shipped; and
A delivery service support method comprising: processing delivery registration based on whether the product to be shipped included in the delivery list has been shipped. A program stored in a computer-readable recording medium and executing the delivery business support method described in paragraph 26.