WO2011021776A2 - Apparatus for estimating energy consumption - Google Patents

Abstract

The present invention relates to an apparatus for estimating energy consumption, comprising: a moving body settings input unit for inputting moving body information including the weight of a moving body and the desired energy consumption; an energy consumption estimating unit for estimating energy consumption for one or more routes on the basis of the moving body information; a route search unit for searching for a route from among the one or more routes that has an estimated energy consumption matching the desired energy consumption; and a route display unit for displaying the searched route. Accordingly, it is possible to exercise and travel without experiencing monotony, as various types of exercise and travel courses can be selected, and the maintenance of health and environmentally-friendly vehicle use can be achieved more efficiently as the amount of exercise and fuel consumption can be estimated beforehand.

Description

Energy consumption prediction device

The present invention relates to an energy consumption prediction device. More specifically, various exercise and driving courses can be selected, so that you can exercise and run without getting bored, and you can predict the amount of exercise and fuel consumption in advance, and predict energy consumption for more efficient health management and eco-friendly driving. Relates to a device.

In modern times, navigation devices for guiding roads and routes are becoming common. In addition, such navigation devices use a global positioning system (GPS).

GPS is currently applied in a wide range of fields from simple location information to automatic navigation and traffic control of aircraft, ships and cars, collision prevention of oil tankers, precise surveying of large-scale civil engineering works, and mapping. It is developed variously to dragon.

In addition, the GPS automatic navigation system is a system for searching and guiding a route to a destination desired by a driver using a GPS receiver and a digital map, and is a system designed for a driver driving a vehicle to receive route guidance on a road. Satellite autonomous navigation systems are being developed not only for automobiles but also for pedestrian systems using personal portable terminals, and even in the field of sports.

In particular, the search for an exercise course using GPS is increasing among modern people who are becoming more interested in exercise. In addition, in order to obtain the effect of the exercise, the athlete must be able to select the exercise course in which the section, the slope, etc. are formed so as to consume as many calories as they want. Moreover, when the exercise method is different, for example, the calorie consumption varies depending on, for example, walking, running, riding a bicycle, and the calorie consumption varies depending on the weight of the exerciser. However, GPS simply serves as a road guide that shows the appropriate jogging or hiking trails around your current location, and does not indicate how many calories are consumed when and how you exercise.

In addition, when driving a vehicle, the driver wants to know which road should be selected to use less fuel. However, GPS simply displays the shortest distance to the target and does not indicate which road consumes much fuel.

Accordingly, there is a need for an apparatus for predicting and displaying calorie consumption or fuel consumption according to the route along with the display of the movement route and the driving route when driving an exercise or a vehicle.

The present invention has been made to solve the above problems, an object of the present invention is to predict and display the calorie consumption or fuel consumption according to the path along with the display of the exercise route and driving route when driving the exercise or vehicle In addition, the present invention provides an energy consumption prediction device that can predict exercise amount and fuel consumption in advance, thereby enabling more efficient health management and eco-friendly vehicle operation.

An apparatus for predicting energy consumption for solving the above problems includes a mobile environment input unit configured to input mobile body information including a mass of a mobile body and a desired energy consumption; An energy consumption estimator for predicting energy consumption of at least one path based on the moving object information; A path searching unit searching for a path having an energy consumption prediction amount that matches the desired energy consumption among the one or more paths; And an information transfer unit for transmitting the information on the searched route to the mobile body.

In particular, the moving body is a human, and the moving body information is characterized in that it further comprises the movement speed, exercise method, movement distance and exercise time of the human.

The energy consumption prediction unit may include: a navigation map storing map data of the one or more routes; A calorie map in which attribute data including the type of the one or more routes and the start and end points of the one or more routes are divided into predetermined nodes, the altitude of each node and a slope between the altitudes; And a calorie consumption calculator configured to calculate a calorie consumption predicted amount for each route based on the map data, the attribute data, and the moving object information.

In particular, the calorie consumption calculation unit calculates the calorie consumption prediction amount by using Equation 1 below.

{Equation 1} is

Calorie consumption prediction = 0.015 × (horizontal VO2 / 3.5 + vertical VO2 / 3.5) × mass × exercise time,

The horizontal VO2 = 0.1 × the movement speed + 3.5, and the vertical VO2 = 1.8 × the movement speed ×% inclination × 0.01.

The information transmitting unit may be a display unit which visually displays the position or the moving direction of the moving object with respect to the searched route.

In addition, the information transfer unit, characterized in that the propagation direction for the searched path is in close contact with the skin of the human being and transmits the number of vibrations.

The energy consumption predicting apparatus may further include a calorie consumption measuring unit configured to measure the amount of calories consumed by the human being moving along the searched path.

The display unit may further display a comparison result between the measured calorie consumption and the predicted calorie consumption.

In addition, the moving body is a vehicle, the moving body information is characterized in that it further comprises the displacement of the vehicle, the moving speed, the moving section, and the moving time.

In particular, the energy consumption prediction unit includes: a navigation map in which map data of the one or more routes are stored; A fuel map storing attribute data including types of the one or more paths and dividing a start point and an end point of the one or more paths into predetermined nodes, the altitude of each node and a slope between the altitudes; And a fuel consumption calculator for predicting fuel consumption for each route based on the map data, the attribute data, and the vehicle information.

The information transmitting unit may be a display unit which visually displays a position or a moving direction of the vehicle with respect to the searched route.

The information transmitting unit may be configured to transmit the moving direction of the searched path by the number of vibrations in close contact with the human skin of the vehicle.

The energy consumption predicting apparatus may further include a fuel consumption measuring unit configured to measure the amount of fuel consumed by the vehicle moving along the searched route.

The display unit may further display a comparison result between the measured fuel consumption and the estimated fuel consumption.

According to the present invention, it is possible to select a variety of exercise and running course can be exercise and run without boredom, can predict the amount of exercise and fuel consumption in advance can be more efficient health management and environmentally friendly vehicle driving.

1 is a block diagram of a calorie consumption prediction device according to a preferred embodiment of the present invention.

2 is a block diagram illustrating a calorie consumption predictor in accordance with one preferred embodiment of the present invention.

3 is a block diagram of a fuel consumption prediction device according to a preferred embodiment of the present invention;

4 is a block diagram of a fuel consumption predicting unit according to an embodiment of the present invention.

Hereinafter, an energy consumption prediction apparatus according to a preferred embodiment will be described in detail with reference to the accompanying drawings. However, in describing the embodiments, when it is determined that detailed descriptions of related known functions or configurations may unnecessarily obscure the subject matter of the present invention, detailed descriptions thereof will be omitted.

1 is a block diagram of a calorie consumption prediction device according to a preferred embodiment of the present invention.

Referring to FIG. 1, the calorie consumption predicting device 100 includes a user information input unit 110, a calorie consumption predicting unit 120, a path search unit 130, an information transmitting unit 140, and a calorie consumption measuring unit 160. ). In the user information input unit 110, the user basically inputs his weight and the desired calorie consumption. In addition, it is also possible to further enter a method of exercise (eg, walking, running, biking, etc.), exercise time. The calorie consumption predictor 120 predicts calorie consumption for an exercise path that can be exercised, such as a road and a walking course around the user, based on the user's information input to the user information input unit 110. For example, if a user of a certain weight is jogging and wants to consume a certain amount of calories, the calorie consumption predictor 120 determines the current user's location using GPS and then searches for an exercise path around the user. And when the user runs each exercise path, calculate the estimated calories burned. The configuration for estimating such calories is described in more detail in FIG. The path search unit 130 searches for an exercise path having a predicted amount that matches the desired calories burned by the user among calorie consumption predicted amounts predicted for each path by the calorie consumption predictor 120. There may be more than one path of movement thus found. In addition, the information transfer unit 140 displays the path searched by the path search unit 130 with a display device such as an LCD. In addition, although not shown in the figure, it is also possible to output the estimated calorie consumption by voice through a speaker.

In addition, the calorie consumption measuring unit 160 measures the distance the user has exercised by GPS to measure calories consumed by exercising substantially. In addition, the information transmitting unit 140 may compare the amount of calories actually consumed with the estimated amount of calories burned, that is, the amount of calories burned, and display the result.

 Therefore, the user can select his or her desired exercise method and exercise course, and when exercising with the selected exercise course, calories that match the desired calorie consumption can be consumed to achieve a desired exercise effect even after exercise. In addition, by displaying the effect of the actual exercise compared to the planned exercise amount can be induced to the user to approach the target reaching the calorie consumption.

2 is a block diagram illustrating a calorie consumption prediction unit according to an exemplary embodiment of the present invention.

Referring to FIG. 2, the calorie consumption predictor 120 includes a navigation map 210, a calorie map 220, and a calorie consumption calculator 230. The navigation map 210 stores all map data, including the exercise route around the user.

Such map data may be divided into point data, line data, and surface data. The map data is processed through a separate data processing engine for the present invention from the GDF originality, and is divided into several physical layers according to the enlargement ratio of the map. Because the maximum magnification cannot display the same data on the screen where one or two ranges appear on the screen on the screen of the world, the physical data can be simplified for each level to have multiple layers.

The point data includes administrative names including country names, road numbers, POI data, and road names. The line data includes road data, line type water data, railway, administrative boundary line and ferry data. The line data consists of a line with several points, and the data type is classified by each property value. Surface data includes land area, oceans, rivers, green spaces, parks, building sites, and surface water system data. Face data is similar to line data, but the endpoints are closed and filled with a constant color or pattern.

The calorie map 220 also stores attribute data of each exercise route. Such attribute data includes the length of the exercise path, the altitude of the path, the slope according to the altitude, the type of the path, and the like. In particular, the average inclination can be obtained using the forward inclination and the reverse inclination. Here, the altitude is measured by dividing one or more paths by dividing their start and end points by a predetermined node. The altitude for this route is different from the altitude contained in the navigation map. For example, while a map on a navigation map is a height measured by GPS according to the contour line, the altitude data contained in the attribute data is a node (eg, four distances) between the start and end points of each route. Branching point, or bending point), which contains information about height.

In addition, as a method of acquiring altitude data, the altitude data of the road is input to a calorie map using a GPS or a device capable of measuring the length and altitude of the road. In addition, the attribute data including the altitude data includes the type of the exercise path, the path grade, the length, and the like.

The calorie consumption calculator 230 calculates a calorie consumption prediction amount for each route based on the map data, the attribute data, and the user information.

More specifically, it calculates using the following Formula 1.

{Equation 1}

Estimated calorie consumption = 0.015 × (horizontal VO ₂ /3.5 + vertical VO ₂ /3.5)×mass×exercise time

Where horizontal VO ₂ = 0.1 × travel speed +3.5 and vertical VO ₂ = 1.8 × travel speed ×% slope × 0.01.

The% slope can be obtained from the attribute data, and the mass, exercise time, and movement speed can be obtained from the user information. In addition, the movement speed may be obtained by using Equation 2 below using the movement speed for one unit length.

{Equation 2}

Exercise time = road length / speed

Here, the map data among the data used by the calorie consumption calculator 230 is necessary to designate which part of the route the attribute data such as the% gradient is.

3 is a block diagram of a fuel consumption prediction device according to a preferred embodiment of the present invention.

Referring to FIG. 3, the fuel consumption predicting apparatus 300 includes a user information input unit 310, a fuel consumption predicting unit 320, a path search unit 330, an information transmitting unit 340, and a fuel consumption measuring unit 360. ). In the user information input unit 310, the user basically inputs the mass of his vehicle and the desired fuel consumption. In addition, it is also possible to further input the displacement (for example, small size, quasi-type, medium size, large size, etc.) and running time. The fuel consumption prediction unit 320 estimates fuel consumption for a driving route capable of driving roads around the driver, based on the driver's information input to the driver information input unit 310. For example, if a car of a certain weight is driving and wants to consume a certain amount of fuel, the fuel consumption predicting unit 320 detects the current driver's position using GPS and then searches for a driving route around the driver. In addition, when the user drives each driving route, the estimated fuel consumption is calculated. The configuration for estimating such consumed fuel is described in more detail in FIG. 4. The route search unit 330 searches for a driving route having a predicted amount corresponding to the desired consumption fuel amount input by the driver among the fuel consumption predicted amounts predicted for each route by the fuel consumption predictor 320. The search route may be one or more. In addition, the information transmitter 340 displays the path searched by the path searcher 330 on the screen.

In addition, the fuel consumption measuring unit 360 measures the distance consumed by the driver by using a GPS to measure the amount of fuel consumed by driving substantially. The information transfer unit 340 may compare the substantially consumed fuel amount with the predicted consumed fuel amount, that is, the desired consumed fuel amount, and display the result.

 Therefore, the user can select a desired driving method and a driving course, and when running in the selected driving course, fuel that matches the desired fuel consumption can be minimized, thereby minimizing fuel waste. In addition, the actual amount of fuel consumed is displayed in comparison with the planned consumption so that the driver can operate the most efficiently.

4 is a block diagram illustrating a configuration of a fuel consumption predicting unit according to an exemplary embodiment of the present invention.

Referring to FIG. 4, the fuel consumption predictor 320 includes a navigation map 410, a fuel map 420, and a fuel consumption calculator 430. The navigation map 410 includes all map data of the driver's main surface as described in FIG. 2.

In addition, the fuel map 420 stores attribute data of each road. In particular, such attribute data includes road lengths, average slopes, road types, and the like, based on roads on which the vehicle may proceed, unlike in the case of exercise. In particular, the average inclination can be obtained using the forward inclination and the reverse inclination. In addition, the attribute data includes road type, road grade, length, and rotation control.

The fuel consumption calculator 430 calculates a fuel consumption prediction amount for each route based on the map data, the attribute data, and the driver information.

In the detailed description of the invention as described above, specific embodiments have been described. However, many modifications are possible without departing from the scope of the invention. The technical spirit of the present invention should not be limited to the above-described embodiments of the present invention, but should be determined not only by the claims, but also by those equivalent to the claims.

Claims (14)

A mobile environment input unit for inputting mobile body information including mass and desired energy consumption of the mobile body; An energy consumption estimator for predicting energy consumption of at least one path based on the moving object information; A path searching unit searching for a path having an energy consumption prediction amount that matches the desired energy consumption among the one or more paths; And And an information transfer unit for transmitting the information on the searched path to the moving object. The method of claim 1, The moving body is a human, and the moving body information further includes an energy speed, an exercise method, an exercise distance, and an exercise time of the human. The method of claim 2, The energy consumption prediction unit, A navigation map storing map data of the one or more routes; A calorie map in which attribute data is stored, the type of one or more routes and an altitude of each node between a start point and an end point of the one or more routes and a slope between the altitudes; And And a calorie consumption calculator configured to calculate a calorie consumption prediction amount for each route based on the map data, the attribute data, and the moving object information. The method of claim 3, wherein The calorie consumption calculator calculates calories burned using Equation 1 below. Calculate the forecast {Equation 1} Estimated calorie consumption = 0.015 × (horizontal VO2 / 3.5 + vertical VO2 / 3.5) × mass × exercise time Wherein horizontal VO2 = 0.1 × speed of movement + 3.5, vertical VO2 = 1.8 × speed of movement ×% inclination x 0.01, the energy consumption prediction device. The method according to any one of claims 2 to 4, The information transfer unit, And a display unit for visually displaying a position or a moving direction of the moving object with respect to the searched path. The method according to any one of claims 2 to 4, The information transfer unit, The kinetic energy consumption prediction device, characterized in that the forward direction for the searched path is in close contact with the human skin and transmitted as the number of vibrations. The method of claim 5, The energy consumption prediction device, And a calorie consumption measuring unit configured to measure the amount of calories consumed by the human being moving along the searched path. The method of claim 7, wherein The display unit, And displaying the comparison result of the measured calorie consumption and the predicted calorie consumption. The method of claim 1, The moving body is an automobile, and the moving body information further includes an exhaust capacity, a moving speed, a moving section, and a moving time of the vehicle. The method of claim 9, The energy consumption prediction unit, A navigation map storing map data of the one or more routes; A fuel map in which attribute data is stored, the type of one or more routes and an altitude of each node between a start point and an end point of the one or more routes and a slope between the altitudes; And And a fuel consumption calculator for predicting fuel consumption for each route based on the map data, the attribute data, and the moving object information. The method of claim 9 or 10, The information transfer unit, And a display unit for visually displaying the position or the progress direction of the vehicle with respect to the searched route. The method of claim 9 or 10, The information transfer unit, The kinetic energy consumption prediction device, characterized in that the forward direction for the searched path is in close contact with the human skin in the vehicle in the number of vibrations. The method of claim 11, The energy consumption prediction device, And a fuel consumption measurement unit configured to measure the amount of fuel consumed by the vehicle moving along the searched route. The method of claim 13, The display unit, And displaying the comparison result of the measured fuel consumption and the predicted fuel consumption.

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