KR20110019104A - Apparatus for estimation of energy consumption - Google Patents
Apparatus for estimation of energy consumption Download PDFInfo
- Publication number
- KR20110019104A KR20110019104A KR1020090076686A KR20090076686A KR20110019104A KR 20110019104 A KR20110019104 A KR 20110019104A KR 1020090076686 A KR1020090076686 A KR 1020090076686A KR 20090076686 A KR20090076686 A KR 20090076686A KR 20110019104 A KR20110019104 A KR 20110019104A
- Authority
- KR
- South Korea
- Prior art keywords
- energy consumption
- path
- consumption
- unit
- fuel
- Prior art date
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
- A61B5/221—Ergometry, e.g. by using bicycle type apparatus
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/75—Measuring physiological parameters of the user calorie expenditure
Abstract
The present invention provides 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 a path display unit displaying the searched path. As a result, various exercise and driving courses can be selected, so that the exercise and running can be carried out without being bored, and the amount of exercise and fuel consumption can be predicted in advance, thereby enabling more efficient health management and eco-friendly vehicle driving.
Navigation, energy, calories, fuel
Description
The present invention relates to an energy consumption prediction 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 amount of exercise and fuel consumption can be predicted in advance, which can lead to more efficient health care and eco-friendly driving.
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 paths and the start and end points of the one or more paths are divided into predetermined nodes and including an altitude of each node and an inclination 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, and the moving body information is characterized in that it further comprises the displacement of the vehicle, moving speed, moving section, and 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.
Hereinafter, an energy consumption prediction apparatus according to a preferred embodiment will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail to avoid unnecessarily obscuring the subject matter of the present invention.
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
In addition, the calorie
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 of a calorie consumption predictor according to a preferred embodiment of the present invention.
2, the
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 original map, 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 are displayed on the screen, the screens appearing around the world cannot be represented the same.
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
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
More specifically, it calculates using the following Formula 1.
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.
Here, the map data among the data used by the
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
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
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 fuel consumption predicting unit according to an exemplary embodiment of the present invention.
Referring to FIG. 4, the
In addition, the
The
In the foregoing detailed description of the present invention, specific examples have been described. However, various modifications are possible within the scope of the present 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 by the claims and equivalents thereof.
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 illustrating a fuel consumption prediction unit in accordance with one preferred embodiment of the present invention.
Description of the Related Art [0002]
100: calorie consumption prediction device 110: user information input unit
120: calorie
140, 340: information transmission unit 160: calorie consumption measurement unit
210, 410: navigation map 220: calorie map
230: calorie consumption calculator 310: driver environment input unit
320: fuel consumption prediction unit 420: fuel map
430: fuel consumption calculator
Claims (14)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020090076686A KR20110019104A (en) | 2009-08-19 | 2009-08-19 | Apparatus for estimation of energy consumption |
PCT/KR2010/004559 WO2011021776A2 (en) | 2009-08-19 | 2010-07-14 | Apparatus for estimating energy consumption |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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KR1020090076686A KR20110019104A (en) | 2009-08-19 | 2009-08-19 | Apparatus for estimation of energy consumption |
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KR20110019104A true KR20110019104A (en) | 2011-02-25 |
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KR1020090076686A KR20110019104A (en) | 2009-08-19 | 2009-08-19 | Apparatus for estimation of energy consumption |
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WO (1) | WO2011021776A2 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20220015527A (en) * | 2020-07-31 | 2022-02-08 | 주식회사 다산네트웍스 | Electric bicycle driving system |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102010030309A1 (en) | 2010-06-21 | 2011-12-22 | Ford Global Technologies, Llc | Method and device for determining an energy consumption optimized route |
US8849499B2 (en) | 2011-01-06 | 2014-09-30 | Ford Global Technologies, Llc | Methods and systems for monitoring a vehicle's energy source |
US8907776B2 (en) | 2011-10-05 | 2014-12-09 | Ford Global Technologies, Llc | Method and apparatus for do not disturb message delivery |
US8849742B2 (en) | 2012-01-24 | 2014-09-30 | Ford Global Technologies, Llc | Method and apparatus for providing charging state alerts |
US9462545B2 (en) | 2013-03-14 | 2016-10-04 | Ford Global Technologies, Llc | Method and apparatus for a battery saver utilizing a sleep and vacation strategy |
US9066298B2 (en) | 2013-03-15 | 2015-06-23 | Ford Global Technologies, Llc | Method and apparatus for an alert strategy between modules |
US9488493B2 (en) | 2014-01-16 | 2016-11-08 | Ford Global Technologies, Llc | Method and apparatus for electric vehicle trip and recharge planning |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2000002553A (en) * | 1998-06-18 | 2000-01-07 | Hino Motors Ltd | Navigation apparatus |
JP2004109100A (en) * | 2002-09-18 | 2004-04-08 | Fumio Mizoguchi | Navigation system for health control |
KR100613910B1 (en) * | 2005-10-26 | 2006-08-22 | 한국전자통신연구원 | Belt-type vibrotactile system |
JP5170081B2 (en) * | 2007-03-30 | 2013-03-27 | 富士通株式会社 | Walking motion support device |
-
2009
- 2009-08-19 KR KR1020090076686A patent/KR20110019104A/en not_active Application Discontinuation
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2010
- 2010-07-14 WO PCT/KR2010/004559 patent/WO2011021776A2/en active Application Filing
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20220015527A (en) * | 2020-07-31 | 2022-02-08 | 주식회사 다산네트웍스 | Electric bicycle driving system |
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WO2011021776A2 (en) | 2011-02-24 |
WO2011021776A3 (en) | 2011-04-21 |
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