TW202407598A - Electronic apparatus and information providing method thereof - Google Patents

Abstract

Disclosed is a method of providing information in an electronic apparatus. The method may include identifying a location of a delivery agent on a map, checking order data for each grid in a region corresponding to the location of the delivery agent, displaying level information for each grid on the map according to an order quantity identified based on the order data for each grid, and updating the level information for each grid.

Description

Electronic equipment and information providing method

The invention relates to an electronic device for displaying level information of each grid according to an order quantity to provide relevant information and an information providing method thereof.

Food delivery services need to provide delivery in a short time and need to efficiently provide and smoothly manage relevant information. For example, an area with a large number of orders requires a relatively large number of delivery personnel, and sometimes delivery personnel need to be moved from other areas to the corresponding area to provide a timely delivery service. In this case, the electronic device can instruct a delivery person to move, but the delivery person can also move to the corresponding area and provide a delivery service based on information associated with the order quantity displayed on the delivery person's terminal. To this end, a technology can efficiently provide relevant information to delivery personnel so that a smooth delivery service can be provided by subdividing the area into grids and displaying information associated with identified order quantities for each grid visually distinguished.

[Technical Target]

One aspect of the present invention provides an electronic device and an information providing method thereof. The technical aspects of the present invention are not limited to the above-mentioned aspects, and other technical aspects can be inferred from the following example embodiments. [Technical solutions]

According to a first example embodiment, a method for providing information in an electronic device is provided. The method includes: identifying a location of a delivery person on a map; checking each location in an area corresponding to the location of the delivery person. The order data of the grid; display the level information of each grid on the map according to an order quantity identified based on the order data of each grid; and update the level information of each grid.

Checking the order data for each grid may include: identifying a grid size that changes based on enlargement or reduction relative to the area corresponding to the location of the delivery person; and checking the grid for each grid having the identified size. Order information.

Displaying on the map may include classifying a level of order quantities corresponding to each grid size that changes based on the zoom in or zoom out displayed on the map.

Identifying the location of the delivery person may include identifying information about a transportation option used by the delivery person, and displaying on the map includes displaying the level reflecting consideration of the transportation option and the number of orders in the area.

Checking the order data for each grid may include checking the order data for each grid in the area by additionally considering the transportation options for the delivery person.

The update may include updating the level information of each grid according to an update cycle in view of the order quantity in the area.

The update period can be set to be shorter than or equal to the update period of a region that has fewer orders than that region.

The method may further include: displaying information about another delivery person located in the area; and instructing the other delivery person to move to an area determined based on the level information of each grid.

Displaying on the map may include: determining a weight based on the movement direction of the delivery person based on the transportation option; and displaying a grid size based on the weight on the map.

According to the transportation option of the delivery person, a first weight based on the direction of movement from a first location to a second location and a second weight based on the direction of movement from the second location to the first location But it's different.

According to the movement direction of the delivery person, the grid size determined based on the first weight and the grid size determined based on the second weight may be different.

Checking the order data for each grid may include checking the order data for each grid in the area based on past order information within a preset time period or order information within a past time period corresponding to the current time.

Checking the order data for each grid may include checking the order data in a region adjacent to the region corresponding to the location of the delivery person.

According to a second example embodiment, an electronic device is also provided, which includes a communication component; a memory; and a controller configured to: identify a location of a delivery person on a map; check the corresponding The order data of each grid in an area of the location of the delivery person; displaying the level information of each grid on the map based on an order quantity identified based on the order data of each grid; and updating the level information of each grid. Level information.

According to a third example embodiment, a non-transitory computer-readable recording medium is also provided, which includes a program for performing the above method.

Details of other example embodiments are included in the "Description" and the drawings. [Effect]

According to the present invention, an electronic device may display a heat map in which order quantities corresponding to a delivery person's current location are classified according to level information. In this case, the unique location of the store is identified, and a heat map based on the level information can be displayed on the delivery person's terminal based on the number of orders generated at each store. The delivery person can move to an area with a large order quantity by using a heat map displayed on the terminal or can move to an area with a large order quantity according to a movement instruction of the electronic device, thereby providing a smooth Delivery services. The order quantity can be identified based on at least one of the currently ordered order quantity, past order information within a preset period, or order information within a past period corresponding to the current time, and level information classified based on the order quantity can be displayed on on the heat map. Given the number of orders, the information displayed on the heat map can be updated according to an update cycle.

The effects of the present invention are not limited to the above-mentioned effects, and those skilled in the art will clearly understand other effects not mentioned from the description of the patent application scope.

The terminology used in the example embodiments has been chosen to be general terms currently in common use as widely as possible, taking into account the functionality of the invention, but such terms may be modified based on the intent of one skilled in the art, a precedent, the emergence of new technology, and the like. Come and change. In addition, in some cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the corresponding description. Therefore, the terms used in the present invention should be defined based on the meaning of the terms and the entire content of the invention rather than just on the names of the terms.

Throughout this specification, when it is stated that a component "comprises" or "includes" a particular component, this means that other components may further be included, and other components are not excluded unless stated otherwise. In addition, terms such as "...component", "...module" and the like described in the specification mean a unit for performing at least one function or operation, which may be implemented as hardware or software or hardware and A combination of software.

Throughout the specification, the expression "at least one of a, b and c" may include "a only", "b only", "c only", "a and b", "a and c", "b and c" ” or “all a, b and c”.

The term "terminal" mentioned below may be implemented as a computer or a portable terminal that can access a server or other terminal through a network. Here, the computer includes, for example, a notebook computer equipped with a web browser, a desktop computer, a laptop computer and the like, and the portable terminal is, for example, ensuring portability and mobility. A wireless communication device, which may include various handheld wireless communication devices, including communication-based terminals, such as IMT (International Mobile Telecommunications), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access) access), LTE (Long Term Evolution), smartphones, tablet PCs and the like.

Hereinafter, with reference to the accompanying drawings, example embodiments of the present invention will be described in detail so that those skilled in the art to which the present invention belongs can easily implement the example embodiments. However, the invention may be embodied in various different forms and is not limited to the example embodiments described herein.

Hereinafter, example embodiments of the present invention are described in detail with reference to the accompanying drawings.

Figure 1 shows a system according to an example embodiment.

Referring to FIG. 1 , the system may include an electronic device 10 , a first transportation option 20 , a second transportation option 30 , a third transportation option 40 and a network 50 . In the system shown in Figure 1, only components relevant to this example embodiment are shown. Therefore, those skilled in the art to which the present invention relates should understand that in addition to the components illustrated in FIG. 1 , other general components may be further included.

The electronic device 10 and the first transportation option 20 , the second transportation option 30 , and the third transportation option 40 can communicate with each other within the network 50 . Network 50 includes a local area network (LAN), a wide area network (WAN), a value-added network (VAN), a mobile radio communication network, a satellite communication network, and a combination thereof. It is a data communication network in a comprehensive sense that enables each network member shown in Figure 1 to communicate smoothly with each other, and can include a wired Internet, a wireless Internet and a mobile wireless communication network. Wireless communication may be, for example, Wireless LAN (Wi-Fi), Bluetooth, Bluetooth Low Energy, Zigbee, WFD (Wi-Fi Direct), UWB (Ultra Wideband), Infrared Communication (IrDA, Infrared Data Association), NFC (Near Field Communication) and the like, but it is not limited thereto.

The electronic device 10 may provide all information associated with the delivery service, and may be included in a server that provides information associated with the delivery service. Here, the delivery service is, for example, a food delivery service, and when a user orders food, delivery needs to be completed within a short time. Specifically, when a user orders food provided by a specific store by using a terminal, the electronic device 10 can transmit relevant information to the corresponding store. When the store approves the order, the electronic device 10 can transmit relevant information to a delivery person who will deliver the order. The delivery person can use a transportation option to provide a delivery service corresponding to the order. The transportation option may be a mobile device used by a delivery person when providing a delivery service, and may include, for example, a motorcycle, a car, and an electric scooter. The mobility of each transportation option is different, and the electronic device can display relevant information on a map by taking into account this mobility in advance.

The electronic device 10 can display each store on a map based on its order quantity, and the delivery person can move to an area where stores with a large order quantity are gathered and wait for delivery. Specifically, the electronic device 10 can display information about the order quantity in each area on a map provided to the delivery person, and the delivery person can move to the corresponding area based on the map and wait to provide more delivery services. Each store has unique location information, and the electronic device 10 can display information corresponding to the order quantity on the map based on the unique location information of each store. The delivery person uses this information to move to the corresponding area to provide a delivery service.

The electronic device 10 can further subdivide the area and identify the order data of each grid in the area, and it can display the level information of each grid on the map based on the number of identified orders based on the order data of each grid. The relationship between the grid and level information of each area will be described in detail with reference to other figures below. Specific procedures performed by the electronic device 10, a first vehicle 20, a second vehicle 30, and a third vehicle 40 related to providing information during delivery will be described below.

FIG. 2 is a diagram illustrating a heat map of Region 1 according to an example embodiment.

Referring to Figure 2, an electronic device can provide a map displaying a heat map of area 1 to a terminal of a delivery person, and the delivery person can check the order quantity in area 1 using the heat map displayed on the terminal. When a delivery person is located in an area with a large number of orders, the delivery person can provide more delivery services and earn more money than in an area with a small number of orders.

Area 1 may be an area corresponding to area 205 on the map, which may correspond to an administrative division. Based on the number of identified orders based on the order data for each grid in Area 1, the level information for each grid can be displayed on the map shown in Figure 2. For example, a grid with a large order quantity may be displayed relatively deeper than a grid with a relatively small order quantity.

The electronic device can identify the location of the delivery person located in area 1 on the map, and provide the delivery person terminal with a heat map corresponding to the location of the delivery person. If only the heat map of the area corresponding to the delivery person's location is provided, the load on the electronic device that occurs in the process of checking the order data of each grid and displaying the level information of each grid can be relatively reduced, so that it can be quickly provided Related information. However, unlike Figure 2 where only the heat map corresponding to area 1 is provided, heat maps of areas adjacent to area 1 may also be provided to the delivery person terminal.

Here, the heat map may correspond to level information for each grid displayed on the map based on an identified order quantity based on order data for each grid in an area corresponding to the delivery person's location. Specifically, the heat map may be displayed such that the level information for each grid in Area 1 can be sorted based on the number of orders identified based on the order data for each grid in Area 1.

The size of the grid corresponding to area 1 can be changed according to zooming in or out. For example, in the case of Figure 2, the grid size corresponding to area 1 may correspond to 500m*500m, and when zoomed in, the grid size may be further subdivided and become 100m*100m. The grid size is related to the number of stores included in the grid. As the grid size increases, the number of stores included in the grid can increase. As the grid is subdivided, the number of stores included in the grid can be reduced.

In this case, the total order quantity in area 1 is the same regardless of the grid size, but the order data for each grid can change based on the grid size. The level information for each grid can be changed depending on the grid size. For example, regardless of zooming in or out, the total order quantity in area 1 is the same, but the number of stores included in grid 1 of 500m*500m is relatively higher than the number of stores included in grid 2 of 100m*100m. Therefore, the level information corresponding to grid 1 may be different from the level information corresponding to grid 2. Specifically, the level information corresponding to Grid 1 may be displayed in a darker color on the map than the level information corresponding to Grid 2 to indicate the order quantity in the corresponding area. Accordingly, details will be described in other figures below.

On the screen of Figure 2 displayed on the delivery person's terminal, price information 201 and an order status 203 can be displayed together. The price information 201 is a fee received by a delivery person after providing a delivery service when a delivery service request is received in the corresponding area, and it can be determined in view of various situations. The order status 203 indicates the current order information in the corresponding area, and can be divided into default levels. For example, when the order status 203 is normal, the current order quantity in area 1 corresponds to the normal level. When order status 203 is high, it means that the current order quantity in area 1 is higher than normal. When the order status 203 is low, it means that the current order quantity in area 1 is lower than normal.

The delivery person can select an icon 211 to zoom in and an icon 213 to zoom out. When zoomed in, the grid size corresponding to area 1 can be reduced from 500m*500m to 100m*100m. Alternatively, when zoomed out, the grid size corresponding to area 1 can be increased from 500m*500m to 1km*1km. The use of icons 211 and 213 for zooming in and out is only an example. Magnification and reduction by other methods are also included within the scope of this specification.

Figure 3 is a diagram illustrating a heat map of region 2, according to an example embodiment.

Referring to Figure 3, the description with reference to Figure 2 can be applied to price information 301, order status 305 and icons 311 and 313. When the delivery person additionally performs the received task when requesting delivery according to the delivery service, the task information 303 may include information about the additional income received when participating in a task and the price information 301 according to the delivery. In this case, the revenue may be information about additional charges or may contain a type of information different from the charges.

An area 307 may be an area corresponding to area 2 on the map. Region 2 may correspond to an administrative division different from Region 1 of FIG. 2 . When the delivery person's location corresponds to area 2, the electronic device may display a heat map corresponding to area 2, as shown in FIG. 3 . Based on the information displayed in the heat map, the delivery person can identify an area with a high demand for the delivery service in Area 2, and the electronic device can instruct the delivery person to move to the area with a high demand for the delivery service to manage the delivery for smooth execution. Delivery. The heat map may correspond to a map in which order quantities within visually differentiated display areas 2 are displayed. For a detailed description of one of the heat maps, refer to Figure 5 below.

4 is a diagram illustrating grid sizes on a map according to an example embodiment.

Referring to Figure 4, a grid corresponding to an area 400 shown on the map can be identified. The grid shape may be a hexagon, a circle, a square or other shapes as shown in FIG. 4 . Grid size can be divided into preset sizes. Figure 4 shows grid sizes as grids 401, 403, 405 and 407, but these are examples only and are not limited thereto.

As the delivery person zooms in on area 400 on the map, the size can change from grid 401 to grid 407 depending on the degree of zoom. Alternatively, as the delivery person zooms out the area 400 on the map, the size may change from grid 407 to grid 401 depending on the degree of zooming out.

The grid 401 may be an area including a plurality of grids 403 , the grid 403 may be an area including a plurality of grids 405 , and the grid 405 may be an area including a plurality of grids 407 .

According to an example embodiment, as the delivery person zooms in on the map, the size of all grids corresponding to the corresponding area may be reduced, such as from grid 401 to grid 403 simultaneously. The order quantity identified based on the order data of each grid 401 may be determined based on the order data of each of the plurality of grids 403 . Since the grid 401 includes a plurality of grids 403, the order quantity identified based on the order data of the grid 401 can be corresponded by adding together the order quantities of each of the plurality of grids 403 included in the grid 401. on the order quantity.

According to an example embodiment, when the delivery person zooms in on the map, the sizes of all grids corresponding to the corresponding areas may be different from each other. For example, even if the delivery person zooms in to the maximum, grid 401, grid 403, grid 405, and grid 407 may be displayed together, as shown in Figure 4. In this case, the grid size is determined based on the order quantity corresponding to the area of the grid. The size may not change from grid 401 to grid 403 because the number of orders in the area corresponding to grid 401 is smaller. Grid 407 needs to be subdivided and displayed because there is a relatively large number of orders in the area.

According to an example embodiment, the level information of each grid can be divided into a first level, a second level, a third level and a fourth level based on a preset criterion of each grid size. The criteria preset for grid 403 and the criteria preset for grid 401 may be different. The level information of each grid 403 can be divided into a first level, a second level, a third level and a fourth level based on a preset criterion of the grid 403 . Alternatively, the level information of each grid 401 can be divided into a first level, a second level, a third level and a fourth level based on a preset criterion of the grid 401 . Here, the first level corresponding to grid 401 and the first level corresponding to grid 403 may be displayed identically on the map, but different criteria may be applied.

Figure 5 is a diagram illustrating level information for each grid according to an example embodiment.

Referring to Figure 5, an area on the map can be divided into grids 510, 520 and 530 of the same size. In this case, although the grid sizes are the same, the level information of each grid according to the order quantity is different, so that they can be displayed differently on the heat map.

The level information of each grid can be determined based on the order quantity identified based on the order data of each grid. Specifically, the level information may be determined based on the number of orders identified based on the plurality of order data generated in the area corresponding to grid 510. Additionally, the level information may be determined based on the number of orders identified based on the plurality of order data generated in the area corresponding to grid 520. Additionally, the level information may be determined based on the number of orders identified based on the plurality of order data generated in the area corresponding to grid 530.

The order data generated in the corresponding area may include past order information within a preset time period or past order data corresponding to a past time period corresponding to the current time and current real-time order data. For example, order data may include information about past orders that occurred in the corresponding area during the last week and current live order data. Alternatively, the order data may include information about past orders in the area that occurred at 12:00 during the previous week corresponding to the current time (12:00 on August 6, 2021). That is, the level information of each grid may include information about the predicted order quantity based on past order information and current real-time order data.

Here, since the number of orders generated in the area corresponding to grid 510 is relatively large, the level information displayed on the map may be relatively higher than the level information corresponding to grids 520 and 530, which may be displayed on the map. Darker color display. In addition, since the number of orders generated in the area corresponding to grid 520 is relatively smaller than the number of orders generated in the area corresponding to grid 510 but larger than the number of orders generated in the area corresponding to grid 530, corresponding to The level information of grid 520 can be located in the middle of the level information corresponding to grid 510 and grid 530, and it can be displayed on the map with a medium intensity. Additionally, since the number of orders generated in the area corresponding to grid 530 is relatively small, it may be displayed as the lightest color on the map. As described above, changes in color intensity corresponding to the level information display of each grid can be preset to visually distinguish and display accordingly on the map.

According to an example embodiment, level information for each grid may be determined by additionally considering the number of orders in a region corresponding to the grid and a delivery person's transportation options. In the case of a food delivery service, due to the nature of the food delivery service, there are food items that must be delivered within a specific period of time (eg 30 minutes). In this case, delivery services for corresponding food items may be filtered and relevant information may not be provided to walking or driving delivery persons whose free and rapid movement is relatively limited. Specifically, for a delivery person using a motorcycle who can deliver relatively freely and quickly, the level information can be determined based on the number of orders identified based on multiple order data generated in the corresponding area. However, among the plurality of order data generated in the corresponding area, the order data generated at a store that provides food with the above characteristics can be filtered for walking delivery personnel who deliver relatively slowly, and the level information can be filtered based on exclusion The order information of the information is displayed by identifying the order quantity. Stores can preset delivery times based on the nature of the food they offer, and electronic devices can provide grid-level information based on delivery times that vary for each transportation option. For example, if food provided from store 1 needs to be delivered within 10 minutes, it will be difficult for a delivery person using other transportation options besides motorcycles to deliver in time. The electronic device can then filter the order data generated from store 1 from the plurality of order data generated in the area, and the heat map displayed to delivery persons using transportation options other than motorcycles can indicate the orders identified based on the filtered order data. Level information for order quantity determination. A heat map displayed to walking couriers may display level information based on the number of identified orders based on order data filtered out of order data generated at store 1. That is, if the transportation options are set differently to motorcycle and walking, the level information displayed on the terminal used by the delivery person may be displayed differently even though the current location of the delivery person remains the same.

According to an example embodiment, a weight given to a direction of movement of a transportation option according to a delivery person may be different, and the grid size may be displayed on the map given the weight. Specifically, when the delivery person moves from the first location 521 to the second location 523 by using a transportation option, the first weight can be determined based on the traffic information in the corresponding movement direction. When moving from the second location 523 to the first location 521 by using the traffic option, the second weight may be determined in view of the traffic information in the corresponding movement direction. This is because if traffic information is taken into account, the time required for delivery may be different from each other even on the same moving route. For example, when moving from the first position 521 to the second position 523, the first weight may be determined to be 1 in view of the traffic information according to the moving direction. When moving from the second position 523 to the first position 521, the second weight may be determined to be 2 in view of the traffic information according to the moving direction. The size of the grid displayed on the map may vary depending on the direction in which the delivery person is moving. Specifically, when the delivery person moves from the first position 521 to the second position 523, the information according to the grid size 405 can be displayed on the map with the first weight. Or when moving from the second position 523 to the first position 521, information according to the grid size 407 may be displayed on the map with a second weight. When the weight is relatively high due to heavy traffic, the electronic device can further subdivide the corresponding area and display relevant information on the map to smoothly manage the entire delivery service. Even without a separate zoom operation, a moving delivery person can visually understand the situation through a finer grid size in the area.

Figure 6 is a diagram illustrating a delivery person located on a grid, according to an example embodiment.

Referring to FIG. 6 , it can be identified that one delivery person exists in the area corresponding to grid 610 and 7 delivery persons exist in the area corresponding to grid 620 . That is, the electronic device can also display information about other delivery persons located in the area where the delivery person is located on the map.

When the area corresponding to the grid 610 is an area with a large number of orders, the electronic device can instruct other delivery personnel to move to the area and manage the order delivery services occurring in the area corresponding to the grid 610 to be provided smoothly.

Based on the level information of each grid, an area where additional delivery personnel need to be dispatched can be determined and the electronic device can instruct another delivery person in a nearby area who can move to the corresponding area to move to the corresponding area. When another delivery person moves to the corresponding area according to the instruction and provides a delivery service, the electronic device can provide an additional income as shown in the task information 303 in Figure 3 .

FIG. 7 is a flowchart illustrating an information providing method executed by an electronic device according to an example embodiment.

Referring to FIG. 7 , in operation S710 , the electronic device may identify the location of a delivery person on the map. The electronic device can use an application installed in the delivery person's terminal to monitor the location of the delivery person who provides food delivery services, and can identify the location of the delivery person. The electronic device may also recognize information about the transportation options used by the delivery person (e.g., motorcycles, cars, etc.).

In operation S720, the electronic device may check the order data of each grid in the area corresponding to the delivery person's location. Specifically, order data generated from a plurality of stores contained in a grid corresponding to the area where the delivery person is located can be examined. The grid size can be changed by zooming in or out, and the electronic device can examine order data generated from a plurality of stores included in the changing grid size. For example, when the grid size is enlarged from 500m*500m to 100m*100m, the electronic device can check order data generated from multiple stores included in the 100m*100m grid.

In addition, the electronic device can check the order data for each grid by additionally considering the delivery person's identified transportation options. For example, the electronic device may check the order obtained by filtering out the corresponding order since it is difficult for a delivery person to perform a delivery service of the corresponding order using a transportation option that makes it difficult to deliver food quickly due to a relatively slow mobility. material.

The order data of each grid can include past order information and current real-time order data within a preset period. Or the order data of each grid can include order information in the past period corresponding to the current time (for example, 12:00 on August 6, 2021) (order information that occurred at 12:00 last week) and current real-time order data.

Additionally, the electronic device may check order data for a region adjacent to the corresponding region and order data for a region corresponding to the delivery person's location. If the electronic device checks all zones for order data, it may be overloaded due to data loading such that the electronic device may check order information for a zone corresponding to the delivery person's location or a zone adjacent to that location.

In operation S730, the electronic device may display the level information of each grid according to the identified order quantity on the map based on the order data of each grid.

The level information of each grid corresponds to a level of information obtained by classifying the number of orders generated at the stores included in the grid based on a preset criterion. For example, when it is determined based on the preset criteria that the number of orders generated at a store included in Grid 1 is small, the electronic device may display level information corresponding to Grid 1 based on the determination result.

In addition, the electronic device may classify levels corresponding to the number of orders generated at stores included in the corresponding grid and display them on the map in view of the grid size changed according to zoom-in or zoom-out. Specifically, when the grid size is changed from 500m*500m to 100m*100m according to the enlargement, the electronic device can check the level information corresponding to the order quantity generated at the store included in the 100m*100m grid and display it on the map.

Additionally, the electronic device may determine the level information and display it on the map by additionally considering transportation options used by the delivery person. A courier using a transportation option with a relatively slow mobility is unable to provide a delivery service for food provided by a store due to the nature of the food, so it can be filtered out of the order data for each grid. The electronic device may determine the level information using filtered order data that takes into account transportation options used by the delivery person.

The electronic device can instruct another delivery person to move to an area determined based on the level information of each grid, and when another delivery person moves to the area and provides a delivery service in the area, the task information can be provided as an additional benefit.

In addition, the electronic device can determine the weight based on the moving direction based on the delivery person's traffic choice and its corresponding traffic information, and the electronic device can display the grid size on the map based on the weight. For example, a first weight applied when moving from a first location to a second location and a second weight applied when moving from a second location to a first location may be different from each other despite the same distance due to traffic information. When the weight is relatively large, the electronic device can further subdivide the grid size and display it on the map, and the delivery person can intuitively understand the situation without the need for a separate zoom operation.

In operation S740, the electronic device may update the level information of each grid.

The electronic device can update the level information of each grid according to an update cycle based on the order quantity in the area. For example, for an area where the number of orders is relatively large, the update cycle can be set to be shorter than or equal to the update cycle in an area where the number of orders is relatively small.

Figure 8 shows a block diagram of an electronic device according to an example embodiment.

According to an example embodiment, the electronic device may include a communication component 810, a memory 820, and a controller 830. In the electronic device shown in Figure 8, only components related to this example embodiment are shown. Therefore, those skilled in the art to which the present invention relates should understand that in addition to the components illustrated in FIG. 8 , other general components may be further included. Since the above content associated with the electronic device can also be applied to the electronic device 800, description of the overlapping content will be omitted.

The communication component 810 is a device for performing wired/wireless communication, which can communicate with a delivery person's terminal. The communication technology used by the communication component 810 may include GSM (Global System for Mobile Communications), CDMA (Code Division Multiple Access), LTE (Long Term Evolution), 5G, WLAN (Wireless LAN), Wi-Fi (Wireless Fidelity) , Bluetooth ^™ , Radio Frequency Identification (RFID), Infrared Data Association (IrDA), ZigBee, Near Field Communications (NFC) and the like.

Controller 830 may control the overall operation of electronic device 800 and may process data and signals. Controller 830 may be configured with at least one hardware unit. Additionally, the controller 830 may generate one or more software module operations by executing program code stored in the memory 820 . The controller 830 may include a processor and a memory, and the processor may execute a program code stored in the memory to control the overall operation of the electronic device 800 and process data and signals. Additionally, in an example embodiment, controller 830 may include at least one processor.

The controller 830 can identify a location of a delivery person on a map, check the order data of each grid in an area corresponding to the location of the delivery person, and identify an order quantity based on the order data of each grid on the map. Display the level information of each grid and update the level information of each grid. The controller 830 can perform the above-mentioned operations performed by the electronic device, and thereby, it can manage the delivery service to be smoothly provided.

The electronic device or terminal according to the above example embodiments may include a processor, a memory for storing and executing program data, a persistent storage (such as a disk drive), and a device for communicating with an external device. Communication port, a user interface device (such as a touch panel, a key, a button, or the like). Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable code or program instructions executable on a processor. Here, the computer-readable recording medium includes a magnetic storage medium (such as ROM (Read Only Memory), RAM (Random Access Memory), floppy disk, hard disk, etc.) and an optical reading medium (such as CD-ROM and DVD (Digital Versatile Disc)). Computer-readable recording media are distributed over networked computer systems so that computer-readable codes can be stored and executed in a distributed fashion. The media can be read by a computer, stored in a memory, and executed on a processor.

Example embodiments of the present invention may be represented by a configuration of functional blocks and various processing steps. These functional blocks may be implemented using a variety of hardware or/and software configurations that perform specific functions. For example, example embodiments may employ an integrated circuit configuration capable of performing various functions, such as memory, processing, logic, lookup tables, or the like, by controlling one or more microprocessors or other control devices. Similar to components that may be implemented using software programming or software components, example embodiments include algorithms implemented using a combination of data structures, procedures, routines, or other programming components and may use a programming or scripting language ( Contains C, C++, Java, assembly language, etc.) implementation. Functional aspects may be implemented using an algorithm running on one or more processors. In addition, example embodiments of the present invention may adopt a conventional technology for at least one of electronic environment setting, signal processing, and data processing. Terms such as "mechanism," "element," "member," and "composition" are used broadly and are not limited to mechanical and physical configurations. These terms may include the meaning of a series of software routines associated with a processor or the like.

The above-described example embodiments are merely examples, and other example embodiments may be implemented within the scope of the claims described later.

10: Electronic equipment 20:First transportation option 30: Second transportation option 40:Third transportation option 50:Internet 201: Price information 203: Order status 205:Region 211:icon 213:icon 301: Price information 303:Task information 305: Order status 307:Area 311:icon 313:icon 400:Area 401:Grid 403:Grid 405:Grid 407:Grid 510:Grid 520:Grid 521:First position 523:Second position 530:Grid 610:Grid 620:Grid 800: Electronic equipment 810: Communication components 820:Memory 830:Controller S710: Operation S720: Operation S730: Operation S740: Operation

Figure 1 illustrates a system according to an example embodiment.

Figure 2 is a diagram illustrating a heat map of Region 1 according to an example embodiment.

Figure 3 is a diagram illustrating a heat map of Region 2 according to an example embodiment.

4 is a diagram illustrating grid sizes on a map according to an example embodiment.

Figure 5 is a diagram illustrating level information for each grid according to an example embodiment.

Figure 6 is a diagram illustrating a delivery person located on a grid, according to an example embodiment.

FIG. 7 is a flowchart illustrating an information providing method executed by an electronic device according to an example embodiment.

FIG. 8 is a block diagram of an electronic device according to an example embodiment.

510:Grid

520:Grid

521:First position

523:Second position

530:Grid

Claims (11)

A method of providing information of an electronic device, the method includes: Identify information regarding a transportation option input from a delivery person terminal; Identify the current location of one of the delivery person's terminals; Filter different order data for each transportation option in the order data corresponding to a region of the current location; and Level information is displayed on a map based on an order quantity identified based on the filtering of the different order data for each transportation option. For example, the method of claim 1, wherein the filtering of different order data for each transportation option is included in the order data of the area corresponding to the current location, and filtering sets a restriction condition on the order data of the transportation option. Such as the method of claim 1, wherein the different order data for each transportation option is the different order data for each transportation option among at least one or more transportation options available to the delivery person input from the delivery person's terminal. For example, the method of request item 3, wherein the level information is displayed on a map according to an order quantity, and the order quantity is identified based on the filtering of different order data based on each transportation option, including: Among a plurality of different grid sizes, determine a grid size based on the order quantity; and This level of information is displayed based on the determined order quantity of the grid size. The method of claim 4 further includes updating the level information according to an update cycle based on the order quantity in the area. Such as the method of request item 5, wherein based on an order quantity identified in each region, different update cycles are set for each region. The method of claim 1, wherein displaying the level information on a map includes, in addition to the traffic information, further displaying the level information on the map based on traffic information corresponding to a moving direction according to the transportation option. The method of claim 7, wherein displaying the level information on a map includes displaying level information on the map corresponding to a grid size in an inverse relationship with a weight determined based on the traffic information. The method of claim 1 further includes: Instruct one of the delivery persons to move to an area determined based on the level of information in each area; and Provide a reward to the delivery person who moves according to the instruction. A non-transitory computer-readable recording medium having a program for executing the method of claim 1 on a computer. An electronic device including: a communication component; a memory; and A controller configured to identify information regarding a transportation option input from a delivery person terminal, identify a current location of the delivery person terminal, and filter each item in the order data corresponding to a region of the current location. Different order data for transportation options, and level information is displayed on a map based on an order quantity identified based on the different order data for each transportation option according to the filter.