KR102202288B1 - Method and system for providing walking path basded on gradient - Google Patents

Abstract

Disclosed are a method for providing a walking path based on the gradient and a system thereof. According to the present invention, a method for providing a walking path comprises the steps of: determining a distance coefficient for converting a distance on a map into an actual distance based on the gradient of a walking path for the walking path created as a path for walking; determining a walking difficulty of the walking path based on the distance coefficient; and providing the walking path based on the walking difficulty.

Description

METHOD AND SYSTEM FOR PROVIDING WALKING PATH BASDED ON GRADIENT}

The description below relates to the technology of providing a walking path.

In recent years, Internet communication technology, satellite positioning technology, map information technology, and search engine technology have been integrated to provide map services in various environments.

In general, the map service may provide a map for an area requested by a user according to a predetermined scale. As such a map service is provided by the portal search service, it is used by more users as a search means.

For example, Korean Patent Publication No. 10-2012-0067830 (published on June 26, 2012) discloses a technology for providing a map service on a web browser through the Internet in a mobile environment.

In addition, the walking directions service, one of the map services, guides the path to the destination on the basis of walkable roads (eg, sidewalks, residential alleys, etc.) and crossing facilities (eg, crosswalks, overpasses, underpasses, etc.). do.

It provides a method and system capable of providing a walking difficulty according to the actual distance conversion coefficient or estimated calories consumed by determining an actual distance conversion coefficient or expected calories consumed according to a slope for a walking route.

A method for providing a walking path executed in a computer system, wherein the computer system includes at least one processor configured to execute computer-readable instructions included in a memory, and the method for providing a walking path is performed by the at least one processor. And determining a distance coefficient for converting a distance on a map into an actual distance based on the slope of the walking route for a walking route generated as a walkable road; Determining, by the at least one processor, a walking difficulty of the walking path based on the distance coefficient; And providing the walking path based on the walking difficulty level by the at least one processor.

According to one aspect, the actual distance conversion coefficient is defined in advance for each slope according to the elevation difference, and the determining of the distance coefficient may determine an actual distance conversion coefficient corresponding to the slope of the walking path.

According to another aspect, an actual distance conversion coefficient is defined in advance for each slope according to an elevation difference, and the determining of the distance coefficient includes: calculating an actual distance by applying a scale to a distance on a map of the walking route; Calculating an elevation difference between a starting point and a destination of the walking route; Calculating a unit section elevation difference by dividing the calculated elevation difference by the actual distance; And determining an actual distance conversion coefficient corresponding to the elevation difference of the unit section.

According to another aspect, the determining of the distance coefficient includes determining the distance coefficient corresponding to the slope of the corresponding section by dividing the walking path in units of a predetermined section, and then using the distance coefficient for each section. It is possible to determine a distance coefficient for the entire section of the walking route.

According to another aspect, the step of determining the walking difficulty may determine a walking difficulty corresponding to the distance coefficient from at least two walking difficulty levels defined in advance.

According to another aspect, the method for providing a walking path may include calculating, by the at least one processor, calories consumed by using an estimated time required for an actual distance of the walking path; And determining, by the at least one processor, a walking difficulty of the walking path based on the consumed calories.

According to another aspect, the calculating of the consumed calories includes calculating the estimated required time using the actual distance of the walking path and the hourly driving speed according to the slope, and then converting the estimated required time to the consumed calories. can do.

According to another aspect, the method of providing a walking path further comprises receiving, by the at least one processor, a selection of a personal option related to a user's walking speed from an electronic device, and determining the distance coefficient In the step, a distance coefficient of a condition corresponding to the personal option may be determined.

According to another aspect, in the providing step, display elements of the walking path may be classified and displayed according to the walking difficulty.

According to another aspect, in the providing step, the walking path may be divided in units of a predetermined section, and the walking difficulty level of the corresponding section unit may be displayed for each section unit.

There is provided a computer program stored in a non-transitory computer-readable recording medium for executing the method for providing a walking path in the computer system.

It provides a non-transitory computer-readable recording medium in which a program for executing the method for providing a walking path is recorded on a computer.

A computer system comprising: at least one processor configured to execute computer-readable instructions contained in a memory, wherein the at least one processor comprises: based on a slope of the walking path with respect to a walking path created as a walking path After determining a distance coefficient for converting a distance on a map into an actual distance, a difficulty level determining unit determines a walking difficulty of the walking route based on the distance coefficient; And it provides a computer system including a path providing unit for providing the walking path based on the walking difficulty.

According to an embodiment of the present invention, it is possible to provide accurate and useful route guidance information by determining the actual distance conversion coefficient or expected calorie consumption according to the slope for the walking route and providing the walking difficulty according to the actual distance conversion coefficient or the expected calorie consumption. In this way, it is possible to provide convenience in route identification and route selection.

1 is a diagram showing an example of a network environment according to an embodiment of the present invention.
2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an embodiment of the present invention.
3 is a diagram illustrating an example of components that may be included in a processor of a server according to an embodiment of the present invention.
4 is a flowchart showing an example of a method that a server can perform according to an embodiment of the present invention.
FIG. 5 is an exemplary diagram for explaining a time required coefficient table (distance coefficient, speed coefficient, driving speed per hour) according to section slope in an embodiment of the present invention.
6 is a flowchart illustrating an example of a method that can be performed by a server according to an embodiment of the present invention.
7 is an exemplary view for explaining calories burned according to walking in an embodiment of the present invention.
8 to 10 illustrate examples of a service screen providing a walking difficulty level of a walking path according to an embodiment of the present invention.

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

Embodiments of the present invention relate to a technology for providing a walking path.

Embodiments including those specifically disclosed in the present specification may guide the walking difficulty of a corresponding route in the process of providing a walkable route as a walking wayfinding service, thereby improving service quality and user convenience.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention. The network environment of FIG. 1 shows an example including a plurality of electronic devices 110, 120, 130, and 140, a plurality of servers 150 and 160, and a network 170. 1 is an example for explaining the present invention, and the number of electronic devices or servers is not limited as in FIG. 1.

The plurality of electronic devices 110, 120, 130, and 140 may be a fixed terminal implemented as a computer system or a mobile terminal. Examples of the plurality of electronic devices 110, 120, 130 and 140 include AI speakers, smart phones, mobile phones, navigation systems, computers, notebook computers, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs ( Portable Multimedia Player), tablet PCs, game consoles, wearable devices, internet of things (IoT) devices, virtual reality (VR) devices, and augmented reality (AR) devices. As an example, in FIG. 1, the shape of an AI speaker is shown as an example of the electronic device 110, but in the embodiments of the present invention, the electronic device 110 is substantially different through the network 170 It may mean one of various physical computer systems capable of communicating with the electronic devices 120, 130, and 140 and/or the servers 150 and 160.

The communication method is not limited, and not only a communication method using a communication network (for example, a mobile communication network, wired Internet, wireless Internet, broadcasting network, satellite network, etc.) that the network 170 may include, but also short-range wireless communication between devices is included. I can. For example, the network 170 includes a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , Internet, and the like. In addition, the network 170 may include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, etc. Not limited.

Each of the servers 150 and 160 is a computer device or a plurality of computers that communicates with a plurality of electronic devices 110, 120, 130, and 140 through a network 170 to provide commands, codes, files, contents, services, etc. It can be implemented with devices. For example, the server 150 may be a system that provides a first service to a plurality of electronic devices 110, 120, 130, 140 accessed through the network 170, and the server 160 is also a network ( It may be a system that provides a second service to a plurality of electronic devices 110, 120, 130, and 140 accessed through 170). As a more specific example, the server 150 is a service (for example, a walking directions service, etc.) through an application as a computer program installed and driven on a plurality of electronic devices 110, 120, 130, 140 ) May be provided as a first service to a plurality of electronic devices 110, 120, 130, and 140. As another example, the server 160 may provide a service for distributing the above-described application installation and running file to the plurality of electronic devices 110, 120, 130, and 140 as the second service.

2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an embodiment of the present invention. In FIG. 2, internal configurations of the electronic device 110 and the server 150 are described as examples of the electronic device. In addition, other electronic devices 120, 130, 140 or server 160 may also have the same or similar internal configuration as the electronic device 110 or server 150 described above.

The electronic device 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input/output interfaces 214 and 224. The memories 211 and 221 are non-transitory computer-readable recording media, such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, and the like. It may include a permanent mass storage device. Here, a non-destructive mass storage device such as a ROM, SSD, flash memory, or disk drive may be included in the electronic device 110 or the server 150 as a separate permanent storage device that is separate from the memories 211 and 221. In addition, the memories 211 and 221 include an operating system and at least one program code (for example, a browser installed and driven in the electronic device 110 or a code for an application installed in the electronic device 110 to provide a specific service). Can be saved. These software components may be loaded from a computer-readable recording medium separate from the memories 211 and 221. Such a separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, disk, tape, DVD/CD-ROM drive, and memory card. In another embodiment, software components may be loaded into the memories 211 and 221 through communication modules 213 and 223 other than a computer-readable recording medium. For example, at least one program is a computer program installed by files provided by a file distribution system (for example, the server 160 described above) that distributes the installation files of developers or applications through the network 170 It may be loaded into the memories 211 and 221 based on (for example, the above-described application).

The processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processors 212 and 222 by the memories 211 and 221 or the communication modules 213 and 223. For example, the processors 212 and 222 may be configured to execute a command received according to a program code stored in a recording device such as the memories 211 and 221.

The communication modules 213 and 223 may provide a function for the electronic device 110 and the server 150 to communicate with each other through the network 170, and the electronic device 110 and/or the server 150 A function for communicating with an electronic device (for example, the electronic device 120) or another server (for example, the server 160) may be provided. As an example, a request generated by the processor 212 of the electronic device 110 according to a program code stored in a recording device such as the memory 211 is sent to the server 150 through the network 170 under the control of the communication module 213. ) Can be delivered. Conversely, control signals, commands, contents, files, etc. provided under the control of the processor 222 of the server 150 are transmitted via the communication module 223 and the network 170 to the communication module 213 of the electronic device 110. ) Through the electronic device 110. For example, control signals, commands, contents, files, etc. of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and the contents or files may be transmitted to an electronic device ( 110) may be stored in a storage medium (permanent storage device described above) that may further include.

The input/output interface 214 may be a means for an interface with the input/output device 215. For example, the input device may include a device such as a keyboard, a mouse, a microphone, and a camera, and the output device may include a device such as a display, a speaker, and a haptic feedback device. As another example, the input/output interface 214 may be a means for interfacing with a device in which input and output functions are integrated into one, such as a touch screen. The input/output device 215 may be configured with the electronic device 110 and one device. In addition, the input/output interface 224 of the server 150 may be a means for an interface with a device (not shown) for input or output that is connected to the server 150 or that the server 150 may include. As a more specific example, when the processor 212 of the electronic device 110 processes a command of a computer program loaded in the memory 211, a service configured by using data provided by the server 150 or the electronic device 120 A screen or content may be displayed on the display through the input/output interface 214.

In addition, in other embodiments, the electronic device 110 and the server 150 may include more components than those of FIG. 2. However, there is no need to clearly show most of the prior art components. For example, the electronic device 110 may be implemented to include at least some of the input/output devices 215 described above, or may further include other components such as a transceiver, a camera, various sensors, and a database. As a more specific example, when the electronic device 110 is an AI speaker, various sensors, camera modules, various physical buttons, buttons using a touch panel, input/output ports, and various vibrators for vibration are generally included in the AI speaker. Components may be implemented to be further included in the electronic device 110.

Hereinafter, a specific embodiment of a method and system for providing a walking path based on a slope will be described.

In the present specification, the walking path may mean a path that can be walked from a starting point to a destination targeting a pedestrian road.

The walking directions service provides various walking routes based on the fastest route to the destination (recommended route), priority on main roads (for example, roads with more than 4 lanes), excluding stairs (excluding routes with stairs such as overpass or underpass). can do.

Embodiments of the present invention may provide a walking path by determining a walking difficulty level for a walking path in a walking path finding service.

3 is a block diagram showing an example of components that may be included in a processor of a server according to an embodiment of the present invention, and FIG. 4 is an example of a method performed by a server according to an embodiment of the present invention. Is a flow chart showing.

The server 150 according to the present embodiment may serve as a platform for providing a walking directions service based on a map. In particular, the server 150 may provide a walking difficulty level of the walking path in providing a walking path.

The processor 222 of the server 150 is a component for performing the method of providing a walking path according to FIG. 4, and as shown in FIG. 3, a path generation unit 310, a difficulty level determination unit 320, and a path controller Study 330 may be included. Depending on the embodiment, components of the processor 222 may be selectively included or excluded from the processor 222. Further, according to an embodiment, components of the processor 222 may be separated or merged to express the function of the processor 222.

Components of the processor 222 and the processor 222 may control the server 150 to perform the steps (S410 to S440) included in the method of providing a walking path of FIG. 4. For example, the processor 222 and the components of the processor 222 may be implemented to execute an instruction according to the code of the operating system included in the memory 221 and the code of at least one program.

Here, the components of the processor 222 may be expressions of different functions performed by the processor 222 according to an instruction provided by the program code stored in the server 150. For example, the route generator 310 may be used as a functional expression of the processor 222 controlling the server 150 according to the above-described command so that the server 150 generates a walking route to the destination.

The processor 222 may read necessary commands from the memory 221 loaded with commands related to control of the server 150. In this case, the read command may include a command for controlling the processor 222 to execute steps S410 to S440 to be described later. The steps S410 to S440 to be described later may be performed in an order different from the order shown in FIG. 4, and some of the steps S410 to S440 may be omitted or an additional process may be further included.

Referring to FIG. 4, in step S410, the path generation unit 310 walks to a destination predetermined by the user of the electronic device 110 for a pedestrian road (eg, sidewalk, residential alley, etc.). At least one possible route, that is, a walking route may be created. The path to the destination may be generated based on a departure point determined by the user of the electronic device 110 or the current location of the electronic device 110 obtained from the electronic device 110, and the specific path generation method is at least widely known. One algorithm can be used.

In step S420, the difficulty determination unit 320 may determine a distance coefficient, which is a coefficient for converting the distance on the map into an actual distance based on the slope of the section of the corresponding route with respect to the walking path generated in step S410. As an example of a criterion for determining the walking difficulty, an actual distance conversion coefficient according to the slope may be used. In this case, the difficulty determining unit 320 may divide the walking path into a predetermined section unit (eg, 1 km) and determine a distance coefficient corresponding to the slope of the section unit for each section unit.

Even with the same distance on the map, the actual distance and the required time may differ depending on the slope. The basic formula for calculating the required time is the same as <Distance/Speed>. For example, for a person who walks 4km per hour, 10km takes 2 hours and 30 minutes.

However, in the case of a sloped road such as a mountain road, the actual walking distance and walking speed are different from those of flat land depending on the slope. Therefore, if the required time calculation method using the distance coefficient and the speed coefficient for a sloped road is used, the required time can be more accurately calculated.

FIG. 5 is an exemplary diagram for explaining a time-consuming coefficient table (distance coefficient, speed coefficient, driving speed per hour) according to section slope in an embodiment of the present invention. The time required coefficient table of FIG. 5 is defined in advance based on an average person walking 4km on flat land with a luggage of 25kg or less and a fast person walking 5km on flat land with a luggage of 25kg or less in 1 hour.

The distance coefficient is an actual distance conversion coefficient and means a coefficient that converts the distance measured on the map to be similar to the actual distance. If the slope is severe, the actual distance becomes longer than the distance on the map. To reflect this, the actual distance can be calculated by multiplying the curve distance on the map by the scale and multiplying the distance coefficient according to the slope of the section.

The speed factor is a driving distance reduction factor that takes into account the walking speed on the slope from the walking speed on the flat ground, and is a predefined coefficient to apply the walking speed on the flat ground when walking on the slope. If an average person who walks 4km per hour on a flat land decreases by 20% on a slope with an altitude difference of 120m within 1km, the driving distance per hour is 3.2km (4km×0.8).

As the slope of the section increases, the driving speed per hour also decreases. The hourly driving speed of FIG. 5 corresponds to a value calculated in advance in consideration of both the distance coefficient and the speed coefficient. That is, by dividing the hourly driving speed by the actual distance converted by multiplying the distance on the map by the scale, the estimated time required for the corresponding section can be calculated.

The process of finding the coefficient corresponding to the slope from point A to point B and the process of calculating the estimated time required from point A to point B is summarized as follows.

Assumption: 290m above sea level at point A, 570m above sea level at point B, 4.5cm distance on the map from point A to point B, scale 25,000

(1) Calculation of actual distance: 4.5cm×25,000=1.125km

(2) Section elevation difference calculation: 570m-290m=280m

(3) Calculation of elevation difference per 1km: 280m/1.125km=248m

(4) Finding the coefficient: 248m per 1km is in the range of '200m-250m within 1km' in the table in Fig. 5, so the distance coefficient is 1.4, the speed coefficient is 0.6, and the driving speed per hour is 1.71km/h (1.71≒4). ×0.6/1.4). This means that the average person can drive 1.71km per hour, taking into account the slope from point A to point B. Accordingly, in the time required coefficient table of FIG. 5, a distance coefficient corresponding to the slope of the section between points A and B (ie, an elevation difference per 1 km) can be found.

(5) Calculation of the estimated travel time from point A to point B: 1.125km/1.71km=0.658 hours (about 39 minutes)

The estimated time required to which the resistance value is applied can be calculated with the time required coefficient according to the slope of each section corresponding to the uphill section. On the other hand, when going downhill, it can be calculated by reflecting the weight so that the required time is reduced by a certain percentage. On the downhill road, the required time may be shortened by 20% to 40% depending on the person, and the estimated time required calculated through the above method may be multiplied by a downhill adjustment factor of 0.8 to 0.6. For example, in the case of an average person, if a downhill adjustment factor of 0.8 is applied, if the downhill length is 1/3 and the uphill length is 2/3, the downhill adjustment factor for the entire section is (1/3×0.8)+ 2/3≒0.934.

FIG. 5 is a pre-defined table of time required according to the slope of a section based on an average person and a fast person, but may further include various criteria through a preliminary experiment, such as a slow person walking 3 km per hour on a flat ground.

The server 150 may include a database (a permanent storage device described above) that stores and maintains general information necessary to provide a walking directions service. The database may consist of a map database, a terrain database, and a POI database. At this time, the map database is a pre-recorded map data for a walkable road and route guidance data associated with the map data. Map data can be stored in the form of digital data such as nodes, links, etc. In this case, the node represents the coordinates of a specific point on the map, and the link is a link between each node and the actual road on the map. Can represent. In addition, the terrain database is a pre-recorded terrain information including elevation (altitude) information for each unit section of a walkable road. The terrain database may be pre-built by matching coordinate information indicating a pedestrian road. The required time coefficient table (distance coefficient, speed coefficient, driving speed per hour) according to the section slope described through FIG. 5 may be included in the terrain database. In addition, the POI database records POI information exposed on the map screen, where the POI information is data that displays major facilities exposed on the map screen on an electronic digital map, and contains text information such as name, address, and phone number. Can include.

The difficulty level determination unit 320 extracts data necessary for determining the distance coefficient for the walking path generated in step S410 from the database on the server 150, and then, based on the extracted data, a distance coefficient corresponding to the section slope of the corresponding route. Can judge. In other words, the difficulty level determining unit 320 may calculate the slope by extracting the elevation value of the walking route from the map database through an API capable of extracting necessary data.

In FIG. 4 again, in step S430, the difficulty level determination unit 320 may determine the walking difficulty of the walking path generated in step S410 based on the distance coefficient determined in step S420. For example, if the distance coefficient corresponding to the elevation difference per 1 km of the walking path is less than a predetermined first reference coefficient (eg, 1.2), the difficulty level determination unit 320 is the first difficulty level (eg, easy walking path), the first reference If the coefficient is greater than or equal to the coefficient, the second difficulty level (eg, a slightly difficult road) may be classified as a third difficulty level (eg, a hard path to walk) if it is greater than or equal to a predetermined second reference coefficient (>first reference coefficient) (eg, 1.3). If the walking path is defined as an easy walking path, a slightly difficult path, and a hard walking path according to the slope, it is possible to provide useful information to users who use the walking path finding service to help.

For the walking route, the elevation difference per 1km of the entire route (departure and destination) is calculated and the walking difficulty is determined based on this, as well as the walking difficulty by the elevation difference of the corresponding section for each section within one route. It is also possible. When determining the walking difficulty for each section, the walking difficulty of the entire route can be determined according to the weight of the distance coefficient. For example, if the section unit exceeding the first reference coefficient is less than the first ratio (eg, 50%) of the entire route, the first difficulty level (easy to walk), and the section unit exceeding the first reference coefficient is the first of the entire route. If the ratio is greater than or exceeds the second reference coefficient, or if the unit of the section exceeds the second ratio (e.g., 20%) of the entire route, the section exceeds the second difficulty level (slightly difficult road) and the third reference coefficient (> the second reference coefficient) If there is a unit, it can be classified as a 3rd difficulty level (hard to walk).

The walking difficulty is described as being divided into three stages (a path that is easy to walk, a path that is a little difficult, and a path that is difficult to walk), but is not limited thereto, and may be divided into two steps or four or more steps according to an embodiment.

Difficulty level determination unit 320 may determine the walking difficulty by applying the time required coefficient table of the average person in Figure 5, according to the embodiment, personal options related to walking speed from the user of the electronic device 110 (for example, After selecting a normal person, a fast person, or a slow person), the difficulty of walking can be determined using the time required coefficient table corresponding to the selected individual option.

In step S440, in providing a walking path to a user of the electronic device 110, the path providing unit 330 may provide a walking difficulty level of the corresponding path with respect to the walking path. As an example, the path providing unit 330 may display information on the walking difficulty of the corresponding path for each walking path. For the walking path, the walking difficulty level may be displayed through a separate UI such as a speech bubble, or display elements of the walking path (eg, color of the path line, type of dash, etc.) of the walking path may be classified and displayed according to the walking difficulty level. For example, a walking path may be indicated in blue for a first difficulty level (a path that is easy to walk), orange for a second difficulty level (a path that is a little difficult), and red for a third difficulty level (a path that is difficult to walk). As another example, the route providing unit 330 may divide a walking route into sections and display a walking difficulty level for each section.

When there are a plurality of walking paths generated as a path to a destination, the path providing unit 330 may provide priority information on the walking path using a walking difficulty level. For example, the path providing unit 330 may arrange a walking path in the order of walking difficulty, but may display a walking path with the lowest walking difficulty arranged at the top.

6 is a flowchart illustrating an example of a method that can be performed by a server according to an embodiment of the present invention. 6 shows another example of a process of determining the walking difficulty.

Referring to FIG. 6, in step S620, the difficulty level determination unit 320 may calculate calories consumed by using the estimated time required for the actual distance of the walking path. In other words, the difficulty level determining unit 320 may calculate the estimated time required according to the actual distance of the walking route using the time required coefficient table according to the section slope of FIG. 5 and convert the calculated estimated time required into calories consumed. have. As another example of a criterion for determining the walking difficulty, calories consumed according to the estimated time required in consideration of the slope of the walking path may be used. A well-known method can be applied to a specific method of converting the estimated time required to calories consumed.

In step S630, the difficulty determining unit 320 may determine the walking difficulty of the walking path generated in step S410 based on the calories consumed determined in step S620. The calorie consumption according to walking may refer to the calorie table shown in FIG. 7, and it is assumed that an adult consumes 320 kcal when walking 4 km per hour on a flat land, and a criterion for determining the walking difficulty can be determined. At this time, the difficulty level determining unit 320 is the first difficulty level (eg, easy walking path) if the calorie consumption according to the estimated time required for the actual distance of the walking path is within a predetermined first reference calorie (eg, 320 kcal/h). , If it is within the second reference calorie (> first reference calorie) (e.g., 480 kcal/h), the second difficulty level (e.g., a slightly difficult road), exceeding the second reference calorie, the third difficulty level (e.g., hard to walk) Can be distinguished.

The difficulty level determining unit 320 determines the walking difficulty by calculating calories burned according to a conversion standard assuming that the user of the electronic device 110 is an ordinary person, but according to an embodiment, the walking speed from the user of the electronic device 110 After selecting a personal option related to (eg, a normal person, a fast person, a slow person), walking difficulty may be determined according to calories burned reflecting a weight corresponding to the selected personal option. In addition, the difficulty level determining unit 320 may determine the walking difficulty by receiving a profile such as weight or sex from the user of the electronic device 110 as a personal option and calculating calories burned according to a conversion standard according to the personal option. In other words, the calorie conversion criterion may be differently defined according to an individual's walking speed, weight, gender, etc. In this case, the difficulty level determination unit 320 selects a personal option from the user of the electronic device 110 and fits the selected personal option. You can calculate the calories burned on a conversion basis.

The process of determining the walking difficulty based on the calories consumed (S620 to S630) may be included as an additional process in the process of determining the walking difficulty based on the distance coefficient (S420 to S430), or may be replaced by another embodiment. . In other words, the walking difficulty of the corresponding path may be determined by using at least one of a distance coefficient and calories consumed for a walking path. The walking difficulty can be determined based on either the distance coefficient and the calories consumed, or the walking difficulty can be determined by considering the distance coefficient and the calories consumed together, or if the distance coefficient is the same, the calorie consumption is additionally added. You can judge the difficulty of walking in consideration.

8 to 10 illustrate examples of service screens providing walking difficulty of a walking path according to an embodiment of the present invention. 8 to 10 illustrate a walking directions service screen 800 as a user interface screen displayed on the electronic device 110.

Referring to FIG. 8, when a user of the electronic device 110 selects a departure location and a destination on the walking directions service screen 800 and then requests directions, the processor 222 uses a map screen including the departure location and the destination. Thus, walking paths 810 and 820 that can be walked from the starting point to the destination may be displayed.

As an example, the processor 222 is based on a distance for converting the distance on the map into an actual distance by considering the slope for each of the walking paths 810 and 820, the estimated time required according to the actual distance, the actual distance conversion coefficient, or calories consumed. The route information 811 and 821 including the walking difficulty 81 and 82 determined as may be displayed. The route information 811 and 821 may be displayed in correspondence with the corresponding walking routes 810 and 820 using an interface such as a speech bubble. It is also possible to display the route information 811 and 821 including the walking difficulty and the actual distance conversion coefficient or calories consumed.

As another example, referring to FIG. 9, the processor 222 may provide ranking information 901 according to the walking difficulty 81 and 82 for the walking paths 810 and 820. In the ranking information 901, the distance on the map is converted into an actual distance by considering the slope for each of the walking routes 810 and 820, the estimated time required according to the actual distance, the actual distance conversion factor, or calories consumed. Route information (811, 821) including the walking difficulty (81, 82), etc. may be displayed. For example, the processor 222 may provide priority information 901 in which the path information 811 and 821 are arranged in the order of the lowest walking difficulty 81 and 82. In this case, the processor 222 may distinguish and display the walking paths 810 and 820 in different colors, and the path information 811 and 821 may be displayed in a uniform color with the corresponding walking paths 810 and 820. . For example, a first difficulty level (a path that is easy to walk) may be displayed in blue, a second difficulty level (a path that is slightly difficult) may be displayed in orange, and a third difficulty level (a path that is difficult to walk) may be displayed in red.

As another example, referring to FIG. 10, the processor 222 may divide the walking paths 810 and 820 into predetermined section units and display the walking difficulty level for each section. The walking difficulty level for each section is directly displayed on the walking paths 810 and 820, and the walking difficulty level 81 and 82 of the entire path can be displayed in the path information 811 and 821 displayed as ranking information 901. have. When determining the walking difficulty based on the distance coefficient for each section, the walking difficulty of the entire route may be determined according to the weight of the distance coefficient. For example, if the section unit exceeding the first reference coefficient is less than the first ratio (eg, 50%) of the entire route, the first difficulty level (easy to walk), and the section unit exceeding the first reference coefficient is the first of the entire route. If the ratio is greater than or exceeds the second reference coefficient, or if the unit of the section exceeds the second ratio (e.g., 20%) of the entire route, the section exceeds the second difficulty level (slightly difficult road) and the third reference coefficient (> the second reference coefficient) If there is a unit, it can be classified as a 3rd difficulty level (hard to walk).

As described above, according to embodiments of the present invention, accurate and useful route guidance information is provided by determining the actual distance conversion coefficient according to the slope or the expected calorie consumption for the walking route and providing the walking difficulty according to the actual distance conversion coefficient or the expected calorie consumption. It can be provided, and through this, it is possible to provide convenience of route identification and route selection.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments are a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable gate array (PLU). It may be implemented using one or more general purpose computers or special purpose computers, such as a logic unit), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be embodyed in any type of machine, component, physical device, computer storage medium or device to be interpreted by the processing device or to provide instructions or data to the processing device. have. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. In this case, the medium may be one that continuously stores a program executable by a computer, or temporarily stores a program for execution or download. In addition, the medium may be a variety of recording means or storage means in a form in which a single or several pieces of hardware are combined, but is not limited to a medium directly connected to a computer system, but may be distributed on a network. Examples of media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magnetic-optical media such as floptical disks, and And ROM, RAM, flash memory, and the like may be configured to store program instructions. In addition, examples of other media include an app store that distributes applications, a site that supplies or distributes various software, and a recording medium or a storage medium managed by a server.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (20)

In the method of providing a walking route executed in a computer system,
The computer system includes at least one processor configured to execute computer readable instructions contained in a memory,
The method of providing the walking route,
Determining, by the at least one processor, a distance coefficient for converting a distance on a map into an actual distance based on the slope of the walking route for a walking route generated as a walkable road;
Determining, by the at least one processor, a walking difficulty of the walking path based on the distance coefficient; And
Providing, by the at least one processor, the walking path based on the walking difficulty
Including,
The actual distance conversion coefficient is defined in advance for each slope according to the elevation difference,
The step of determining the distance coefficient,
To determine the actual distance conversion coefficient corresponding to the slope of the walking path
A method of providing a walking route, characterized in that. delete In the method of providing a walking route executed in a computer system,
The computer system includes at least one processor configured to execute computer readable instructions contained in a memory,
The method of providing the walking route,
Determining, by the at least one processor, a distance coefficient for converting a distance on a map into an actual distance based on the slope of the walking route for a walking route generated as a walkable road;
Determining, by the at least one processor, a walking difficulty of the walking path based on the distance coefficient; And
Providing, by the at least one processor, the walking path based on the walking difficulty
Including,
The actual distance conversion coefficient is defined in advance for each slope according to the elevation difference,
The step of determining the distance coefficient,
Calculating an actual distance by applying a scale to the distance on the map of the walking route;
Calculating an elevation difference between a starting point and a destination of the walking route;
Calculating a unit section elevation difference by dividing the calculated elevation difference by the actual distance; And
Determining an actual distance conversion coefficient corresponding to the elevation difference of the unit section
A method of providing a walking path comprising a. The method of claim 1,
The step of determining the distance coefficient,
Dividing the walking path into a specific section unit, determining a distance coefficient corresponding to the slope of the section unit for each section unit, and then determining the distance coefficient for the entire section of the walking route using the distance coefficient for each section unit
A method of providing a walking route, characterized in that. The method of claim 1,
The step of determining the walking difficulty,
Determining the walking difficulty corresponding to the distance coefficient from at least two walking difficulty defined in advance
A method of providing a walking route, characterized in that. The method of claim 1,
The method of providing the walking route,
Calculating, by the at least one processor, calories consumed using an estimated time required for the actual distance of the walking path; And
Determining, by the at least one processor, a walking difficulty of the walking path based on the consumed calories
A method of providing a walking route further comprising a. The method of claim 6,
The step of calculating the consumed calories,
Calculating the estimated time required using the actual distance of the walking route and the hourly driving speed according to the slope, and then converting the estimated time required into the calories consumed.
A method of providing a walking route, characterized in that. The method of claim 1,
The method of providing the walking route,
Receiving, by the at least one processor, a selection of a personal option related to a user's walking speed from an electronic device
Including more,
The step of determining the distance coefficient,
To determine the distance coefficient of the condition corresponding to the personal option
A method of providing a walking route, characterized in that. The method of claim 1,
The providing step,
Dividing and displaying the display elements of the walking path according to the walking difficulty
A method of providing a walking route, characterized in that. In the method of providing a walking route executed in a computer system,
The computer system includes at least one processor configured to execute computer readable instructions contained in a memory,
The method of providing the walking route,
Determining, by the at least one processor, a distance coefficient for converting a distance on a map into an actual distance based on the slope of the walking route for a walking route generated as a walkable road;
Determining, by the at least one processor, a walking difficulty of the walking path based on the distance coefficient; And
Providing, by the at least one processor, the walking path based on the walking difficulty
Including,
The providing step,
Dividing the walking path in units of a certain section and displaying the walking difficulty level for each section for each section
A method of providing a walking route, characterized in that. A computer program stored in a non-transitory computer-readable recording medium for executing the method for providing a walking path according to any one of claims 1, 3 to 10 on the computer system. A non-transitory computer-readable recording medium in which a program for executing the method for providing a walking path according to any one of claims 1, 3 to 10 on a computer is recorded. In a computer system,
At least one processor configured to execute computer readable instructions contained in memory
Including,
The at least one processor,
After determining a distance coefficient for converting a distance on a map to an actual distance based on the slope of the walking route for a walking route generated as a walkable road, a difficulty level determining unit determines the walking difficulty of the walking route based on the distance coefficient; And
A path providing unit that provides the walking path based on the walking difficulty
Including,
The actual distance conversion coefficient is defined in advance for each slope according to the elevation difference,
The difficulty level determination unit,
To determine the actual distance conversion coefficient corresponding to the slope of the walking path
Computer system, characterized in that. delete In a computer system,
At least one processor configured to execute computer readable instructions contained in memory
Including,
The at least one processor,
After determining a distance coefficient for converting a distance on a map to an actual distance based on the slope of the walking route for a walking route generated as a walkable road, a difficulty level determining unit determines the walking difficulty of the walking route based on the distance coefficient; And
A path providing unit that provides the walking path based on the walking difficulty
Including,
The actual distance conversion coefficient is defined in advance for each slope according to the elevation difference,
The difficulty level determination unit,
The actual distance is calculated by applying a scale to the distance on the map of the walking route,
Calculate the elevation difference between the departure point and the destination of the walking route,
Dividing the calculated elevation difference by the actual distance to calculate a unit section elevation difference,
To determine the actual distance conversion coefficient corresponding to the elevation difference of the unit section
Computer system, characterized in that. The method of claim 13,
The difficulty level determination unit,
After calculating calories consumed by using the estimated time required for the actual distance of the walking route, determining the walking difficulty of the walking route based on the calories consumed.
Computer system, characterized in that. The method of claim 16,
The difficulty level determination unit,
Calculating the estimated time required using the actual distance of the walking route and the hourly driving speed according to the slope, and then converting the estimated time required into the calories consumed.
Computer system, characterized in that. The method of claim 13,
The difficulty level determination unit,
Receiving a selection for a personal option related to a user's walking speed from an electronic device and determining a distance coefficient of a condition corresponding to the personal option
Computer system, characterized in that. The method of claim 13,
The path providing unit,
Dividing and displaying the display elements of the walking path according to the walking difficulty
Computer system, characterized in that. In a computer system,
At least one processor configured to execute computer readable instructions contained in memory
Including,
The at least one processor,
After determining a distance coefficient for converting a distance on a map to an actual distance based on the slope of the walking route for a walking route generated as a walkable road, a difficulty level determining unit determines the walking difficulty of the walking route based on the distance coefficient; And
A path providing unit that provides the walking path based on the walking difficulty
Including,
The path providing unit,
Dividing the walking path in units of a certain section and displaying the walking difficulty level for each section for each section
Computer system, characterized in that.

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