CN110926489B - Body-building movement path planning method and system based on satellite navigation - Google Patents
Body-building movement path planning method and system based on satellite navigation Download PDFInfo
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- CN110926489B CN110926489B CN201911032695.0A CN201911032695A CN110926489B CN 110926489 B CN110926489 B CN 110926489B CN 201911032695 A CN201911032695 A CN 201911032695A CN 110926489 B CN110926489 B CN 110926489B
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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
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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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
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
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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
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
Abstract
The invention discloses a body-building movement path planning system based on satellite navigation, which comprises a CPU, intelligent equipment, a navigation APP, a GPS positioning chip, an MCU, a memory, a display and a buzzer, wherein the CPU is used for receiving the GPS positioning chip; the invention obtains the current position of a user by automatically using a GPS positioning chip after real-time distance information transmitted by intelligent equipment is transmitted to a CPU; matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU; then, a path with fewer intersections and smaller traffic flow can be automatically planned for the exercise of the user by means of the path intelligent planning step, and the path is planned for the user on the premise of ensuring safety; and the planning of the corresponding different paths can be realized when the user is at different positions, and if the user frequently exercises at the same position, the user can exercise by adopting the current data.
Description
Technical Field
The invention belongs to the field of path planning, relates to a fitness path planning technology, and particularly relates to a fitness movement path planning method and a fitness movement path planning system based on satellite navigation.
Background
Body building is always a topic which people pay attention to, at present, along with the attention of people to health and the improvement of living standard, more and more people start body building, running is body building exercise which is most frequently contacted by the public, the requirement on the field is not high, and complex equipment assistance is not needed, so that the body building becomes an activity which is more and more liked by many people; more and more people are beginning to exercise their bodies by running;
however, in some cases, people sometimes need to go to some strange places, and it is difficult to find a suitable running path, and a path with few intersections and low traffic flow can be found for exercise, so that the problem that people who run need to be solved is solved; there is currently no suitable system that can automatically plan a path; in order to solve this technical drawback, a solution is now provided.
Disclosure of Invention
The invention aims to provide a body-building movement path planning method and a body-building movement path planning system based on satellite navigation.
The purpose of the invention can be realized by the following technical scheme:
a fitness movement path planning method based on satellite navigation comprises the following steps:
the method comprises the following steps: firstly, receiving real-time distance information transmitted by intelligent equipment;
step two: the method comprises the steps that when fitness information transmitted by intelligent equipment is received, the current position of a user is automatically obtained by means of a GPS positioning chip;
step three: matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU;
the path intelligent planning method specifically comprises the following steps:
s1: acquiring real-time distance information and a current position;
s2: taking the current position as a starting point and an end point, and taking the real-time distance information as a path distance; automatically acquiring all routes meeting the two-point condition by means of a navigation APP, and marking the routes as information of the routes to be selected;
s3: marking all the information of the route to be selected as Di, i being 1.. n;
s4: acquiring the number of traffic lights on each to-be-selected route information Di, and marking the number of the traffic lights as Hi, wherein i is 1.. n; hi and Di are in one-to-one correspondence;
s5: according to the number Hi of the traffic lights, sequencing Di from large to small, and marking the front X1 as an initial route; marking the initial route as Ci, i 1.. X1;
s6: acquiring the current real-time, then marking the current real-time to be a preview time period after one hour, and primarily selecting average traffic flow information on the route Ci; the method specifically comprises the following steps:
SS 1: monitoring vehicles coming and going by utilizing a monitoring camera arranged at a traffic light;
SS 2: when the existence of the vehicle is detected once or once, adding one to the value of the traffic flow information;
SS 3: acquiring vehicle information of each traffic light in a preview time period every day three days before the current day, and adding the vehicle information after averaging; obtaining average flow information on each initially selected route Ci, and marking the average flow information as Pi, i-1.. X1; pi and Ci are in one-to-one correspondence;
s7: and marking the corresponding initial route Ci with the minimum Pi value as planning path information.
The body-building movement path planning system based on satellite navigation comprises a CPU, intelligent equipment, a navigation APP, a GPS positioning chip, an MCU, a memory, a display and a buzzer;
the MCU adopts a 51-chip microcomputer, and the specific model is AT89C 51; the memory is a ROM memory, and the intelligent equipment is carried by a user, in particular to a mobile phone; the display is an LCD display;
the intelligent device passes through GPRS network and CPU communication connection, CPU and navigation APP communication connection, CPU passes through wire and display electric connection, CPU and bee calling organ control connection, CPU still has the memory through wire electric connection, CPU and MCU communication connection, MCU and GPS positioning chip, memory are communication connection.
Furthermore, the intelligent device is used for inputting real-time distance information by a user, wherein the real-time distance information is the distance of the user in the running process; the memory is used for storing past fitness information of the user, wherein the past fitness information comprises starting point information, fitness distance information and inertia path information; the starting point information is the starting point position of the user during running, the body-building distance information is the running distance corresponding to the starting point position, and the inertia path information is the running path of the user during the running;
the intelligent equipment is used for transmitting the real-time distance information to the CPU, the CPU receives the key real-time distance information transmitted by the intelligent equipment and carries out path planning by combining the navigation APP, the GPS positioning chip and the memory, and the specific planning steps are as follows:
the method comprises the following steps: firstly, receiving real-time distance information transmitted by intelligent equipment;
step two: the method comprises the steps that when fitness information transmitted by intelligent equipment is received, the current position of a user is automatically obtained by means of a GPS positioning chip;
step three: matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU;
the path intelligent planning method specifically comprises the following steps:
s1: acquiring real-time distance information and a current position;
s2: taking the current position as a starting point and an end point, and taking the real-time distance information as a path distance; automatically acquiring all routes meeting the two-point condition by means of a navigation APP, and marking the routes as information of the routes to be selected;
s3: marking all the information of the route to be selected as Di, i being 1.. n;
s4: acquiring the number of traffic lights on each to-be-selected route information Di, and marking the number of the traffic lights as Hi, wherein i is 1.. n; hi and Di are in one-to-one correspondence;
s5: according to the number Hi of the traffic lights, sequencing Di from large to small, and marking the front X1 as an initial route; marking the initial route as Ci, i 1.. X1;
s6: acquiring the current real-time, then marking the current real-time to be a preview time period after one hour, and primarily selecting average traffic flow information on the route Ci; the method specifically comprises the following steps:
SS 1: monitoring vehicles coming and going by utilizing a monitoring camera arranged at a traffic light;
SS 2: when the existence of the vehicle is detected once or once, adding one to the value of the traffic flow information;
SS 3: acquiring vehicle information of each traffic light in a preview time period every day three days before the current day, and adding the vehicle information after averaging; obtaining average flow information on each initially selected route Ci, and marking the average flow information as Pi, i-1.. X1; pi and Ci are in one-to-one correspondence;
s7: marking the corresponding initial route Ci with the minimum Pi value as planning path information;
the CPU is used for marking the current position as starting point information, marking the real-time distance information as body-building distance information and marking the planned path information as inertial path information; the CPU is used for fusing the starting point information, the fitness distance information and the inertia path information to form passing fitness information and transmitting the passing fitness information to the memory for storage;
and the CPU is used for transmitting the planned path information to the display for real-time display.
Further, when receiving a maintaining signal transmitted by the CPU, the MCU automatically acquires inertial path information corresponding to the start point information and the exercise distance information in the memory, and marks the inertial path information as planned path information;
and the MCU is used for transmitting the planned path information to the display for real-time display and automatically driving the buzzer to warn one sound.
Further, the value of X1 is specifically 5.
The invention has the beneficial effects that:
according to the invention, the real-time distance information transmitted by the intelligent equipment is transmitted to the CPU, and the current position of a user is automatically obtained by means of the GPS positioning chip when the fitness information transmitted by the intelligent equipment is received; matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU; then, a path with fewer intersections and smaller traffic flow can be automatically planned for the exercise of the user by means of the path intelligent planning step, and the path is planned for the user on the premise of ensuring safety; and the planning of the corresponding different paths can be realized when the user is at different positions, and if the user frequently exercises at the same position, the user can exercise by adopting the current data.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a method for planning a fitness exercise path based on satellite navigation comprises the following steps:
the method comprises the following steps: firstly, receiving real-time distance information transmitted by intelligent equipment;
step two: the method comprises the steps that when fitness information transmitted by intelligent equipment is received, the current position of a user is automatically obtained by means of a GPS positioning chip;
step three: matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU;
the path intelligent planning method specifically comprises the following steps:
s1: acquiring real-time distance information and a current position;
s2: taking the current position as a starting point and an end point, and taking the real-time distance information as a path distance; automatically acquiring all routes meeting the two-point condition by means of a navigation APP, and marking the routes as information of the routes to be selected;
s3: marking all the information of the route to be selected as Di, i being 1.. n;
s4: acquiring the number of traffic lights on each to-be-selected route information Di, and marking the number of the traffic lights as Hi, wherein i is 1.. n; hi and Di are in one-to-one correspondence;
s5: according to the number Hi of the traffic lights, sequencing Di from large to small, and marking the front X1 as an initial route; marking the initial route as Ci, i 1.. X1;
s6: acquiring the current real-time, then marking the current real-time to be a preview time period after one hour, and primarily selecting average traffic flow information on the route Ci; the method specifically comprises the following steps:
SS 1: monitoring vehicles coming and going by utilizing a monitoring camera arranged at a traffic light;
SS 2: when the existence of the vehicle is detected once or once, adding one to the value of the traffic flow information;
SS 3: acquiring vehicle information of each traffic light in a preview time period every day three days before the current day, and adding the vehicle information after averaging; obtaining average flow information on each initially selected route Ci, and marking the average flow information as Pi, i-1.. X1; pi and Ci are in one-to-one correspondence;
s7: and marking the corresponding initial route Ci with the minimum Pi value as planning path information.
The body-building movement path planning system based on satellite navigation comprises a CPU, intelligent equipment, a navigation APP, a GPS positioning chip, an MCU, a memory, a display and a buzzer;
the MCU adopts a 51-chip microcomputer, and the specific model is AT89C 51; the memory is a ROM memory, and the intelligent equipment is carried by a user, in particular to a mobile phone; the display is an LCD display;
the intelligent device passes through GPRS network and CPU communication connection, CPU and navigation APP communication connection, CPU passes through wire and display electric connection, CPU and bee calling organ control connection, CPU still has the memory through wire electric connection, CPU and MCU communication connection, MCU and GPS positioning chip, memory are communication connection.
The intelligent equipment is used for inputting real-time distance information by a user, wherein the real-time distance information is the distance of the user in the running process; the memory is used for storing past fitness information of the user, wherein the past fitness information comprises starting point information, fitness distance information and inertia path information; the starting point information is the starting point position of the user during running, the body-building distance information is the running distance corresponding to the starting point position, and the inertia path information is the running path of the user during the running;
the intelligent equipment is used for transmitting the real-time distance information to the CPU, the CPU receives the key real-time distance information transmitted by the intelligent equipment and carries out path planning by combining the navigation APP, the GPS positioning chip and the memory, and the specific planning steps are as follows:
the method comprises the following steps: firstly, receiving real-time distance information transmitted by intelligent equipment;
step two: the method comprises the steps that when fitness information transmitted by intelligent equipment is received, the current position of a user is automatically obtained by means of a GPS positioning chip;
step three: matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU;
the path intelligent planning method specifically comprises the following steps:
s1: acquiring real-time distance information and a current position;
s2: taking the current position as a starting point and an end point, and taking the real-time distance information as a path distance; automatically acquiring all routes meeting the two-point condition by means of a navigation APP, and marking the routes as information of the routes to be selected; the route planning is to combine all possible roads to be passed through according to the conditions of the nearby roads, and finally, the distance can be real-time distance information;
s3: marking all the information of the route to be selected as Di, i being 1.. n;
s4: acquiring the number of traffic lights on each to-be-selected route information Di, and marking the number of the traffic lights as Hi, wherein i is 1.. n; hi and Di are in one-to-one correspondence;
s5: according to the number Hi of the traffic lights, sequencing Di from large to small, and marking the front X1 as an initial route; marking the initial route as Ci, i 1.. X1;
s6: acquiring the current real-time, then marking the current real-time to be a preview time period after one hour, and primarily selecting average traffic flow information on the route Ci; the method specifically comprises the following steps:
SS 1: monitoring vehicles coming and going by utilizing a monitoring camera arranged at a traffic light;
SS 2: when the existence of the vehicle is detected once or once, adding one to the value of the traffic flow information;
SS 3: acquiring vehicle information of each traffic light in a preview time period every day three days before the current day, and adding the vehicle information after averaging; obtaining average flow information on each initially selected route Ci, and marking the average flow information as Pi, i-1.. X1; pi and Ci are in one-to-one correspondence;
s7: marking the corresponding initial route Ci with the minimum Pi value as planning path information;
the CPU is used for marking the current position as starting point information, marking the real-time distance information as body-building distance information and marking the planned path information as inertial path information; the CPU is used for fusing the starting point information, the fitness distance information and the inertia path information to form passing fitness information and transmitting the passing fitness information to the memory for storage;
and the CPU is used for transmitting the planned path information to the display for real-time display.
When receiving a maintaining signal transmitted by the CPU, the MCU automatically acquires inertial path information corresponding to the starting point information and the body-building distance information in the memory, and marks the inertial path information as planning path information;
and the MCU is used for transmitting the planned path information to the display for real-time display and automatically driving the buzzer to warn one sound.
Wherein, the X1 value is 5.
When the fitness movement path planning system based on satellite navigation works, firstly, real-time distance information transmitted by intelligent equipment is transmitted to a CPU, and when the fitness information transmitted by the intelligent equipment is received, the current position of a user is automatically acquired by means of a GPS positioning chip; matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU; then, a path with fewer intersections and smaller traffic flow can be automatically planned for the exercise of the user by means of the path intelligent planning step, and the path is planned for the user on the premise of ensuring safety; and can realize that the user when different positions, plans corresponding different route, if often take exercise in same position, can adopt the date of time data to let the user take exercise, can remind the user for conventional exercise route through bee calling organ simultaneously.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (1)
1. A body-building movement path planning system based on satellite navigation is characterized by comprising a CPU, intelligent equipment, a navigation APP, a GPS positioning chip, an MCU, a memory, a display and a buzzer;
the MCU adopts a 51-chip microcomputer, and the specific model is AT89C 51; the memory is a ROM memory, and the intelligent equipment is carried by a user, in particular to a mobile phone; the display is an LCD display;
the intelligent device is in communication connection with a CPU through a GPRS network, the CPU is in communication connection with a navigation APP, the CPU is electrically connected with a display through a conducting wire, the CPU is in control connection with a buzzer, the CPU is also electrically connected with a memory through a conducting wire, the CPU is in communication connection with an MCU, and the MCU is in communication connection with a GPS positioning chip and the memory;
the intelligent equipment is used for inputting real-time distance information by a user, and the real-time distance information is the distance of the user in the running process; the memory is used for storing past fitness information of the user, wherein the past fitness information comprises starting point information, fitness distance information and inertia path information; the starting point information is the starting point position of the user during running, the body-building distance information is the running distance corresponding to the starting point position, and the inertia path information is the running path of the user during the running;
the intelligent equipment is used for transmitting the real-time distance information to the CPU, the CPU receives the key real-time distance information transmitted by the intelligent equipment and carries out path planning by combining the navigation APP, the GPS positioning chip and the memory, and the specific planning steps are as follows:
the method comprises the following steps: firstly, receiving real-time distance information transmitted by intelligent equipment;
step two: the method comprises the steps that when fitness information transmitted by intelligent equipment is received, the current position of a user is automatically obtained by means of a GPS positioning chip;
step three: matching the current position and the real-time distance information with the starting point information and the fitness distance information in the memory, and entering a path intelligent planning step when any point is inconsistent; otherwise, generating a maintaining signal and transmitting the maintaining signal to the MCU;
the path intelligent planning method specifically comprises the following steps:
s1: acquiring real-time distance information and a current position;
s2: taking the current position as a starting point and an end point, and taking the real-time distance information as a path distance; automatically acquiring all routes meeting the two-point condition by means of a navigation APP, and marking the routes as information of the routes to be selected;
s3: marking all the information of the route to be selected as Di, i being 1.. n;
s4: acquiring the number of traffic lights on each to-be-selected route information Di, and marking the number of the traffic lights as Hi, wherein i is 1.. n; hi and Di are in one-to-one correspondence;
s5: according to the number Hi of the traffic lights, sequencing Di from large to small, and marking the front X1 as an initial route; marking the initial route as Ci, i 1.. X1;
s6: acquiring the current real-time, then marking the current real-time to be a preview time period after one hour, and primarily selecting average traffic flow information on the route Ci; the method specifically comprises the following steps:
SS 1: monitoring vehicles coming and going by utilizing a monitoring camera arranged at a traffic light;
SS 2: when the existence of the vehicle is detected once or once, adding one to the value of the traffic flow information;
SS 3: acquiring vehicle information of each traffic light in a preview time period every day three days before the current day, and adding the vehicle information after averaging; obtaining average flow information on each initially selected route Ci, and marking the average flow information as Pi, i-1.. X1; pi and Ci are in one-to-one correspondence;
s7: marking the corresponding initial route Ci with the minimum Pi value as planning path information;
the CPU is used for marking the current position as starting point information, marking the real-time distance information as body-building distance information and marking the planned path information as inertial path information; the CPU is used for fusing the starting point information, the fitness distance information and the inertia path information to form passing fitness information and transmitting the passing fitness information to the memory for storage;
the CPU is used for transmitting the planned path information to the display for real-time display;
when receiving a maintaining signal transmitted by the CPU, the MCU automatically acquires inertial path information corresponding to the starting point information and the body-building distance information in the memory, and marks the inertial path information as planning path information;
the MCU is used for transmitting the planned path information to the display for real-time display and automatically driving the buzzer to warn one sound;
the value of X1 is specifically 5.
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