CN108970083A - A kind of golf ball-batting paths planning method - Google Patents
A kind of golf ball-batting paths planning method Download PDFInfo
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- CN108970083A CN108970083A CN201810607857.8A CN201810607857A CN108970083A CN 108970083 A CN108970083 A CN 108970083A CN 201810607857 A CN201810607857 A CN 201810607857A CN 108970083 A CN108970083 A CN 108970083A
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- batting
- drop point
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- distance
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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
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
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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
- A63B69/00—Training appliances or apparatus for special sports
- A63B69/36—Training appliances or apparatus for special sports for golf
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of golf ball-batting paths planning methods, comprising the following steps: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；User selects the match play for needing to plan, obtains the match play standard rod and corresponding place data；According to the Historical Results data of user, the match play standard rod and place data schema stroke path and push to front end.Stroke path in the present invention plans that the Historical Results data based on court, the GPS information of match play and user generate feasible scheme list, then pass through Scheme Choice algorithms selection optimal path and present, it ensures that user can get the personalized path planning scheme in matching self-ability and place, effectively user is helped to promote achievement of playing ball.
Description
Technical field
The invention belongs to Path Planning Technique fields, and in particular to a kind of golf ball-batting paths planning method.
Background technique
Current golf is mainly taken as a kind of amusement and recreation activity at home, does not there is sufficient exploitation.Player plays ball
Path planning mainly based on experience, auxiliary is with the non-dedicated equipment or software of such as rangefinder etc to promote achievement of playing ball.
Do not find that in industry there are software and hardware methods or equipment that stroke path is actively planned based on user's history achievement.Together
When, the hardware and software devices such as rangefinder can only measure point-to-point transmission linear distance that can be visual, and ranging hardware device relative volume compared with
Greatly, inconvenient to carry.
Summary of the invention
It is an object of the invention to: above-mentioned deficiency in the prior art is solved, a kind of golf ball-batting path planning is provided
Method provides the personalized path planning scheme in matching self-ability and place for user, effectively helps user to be promoted and play ball into
Achievement.
To achieve the goals above, the technical solution adopted by the present invention are as follows:
A kind of golf ball-batting paths planning method, comprising the following steps:
Step 1: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 2: user selects the match play for needing to plan, obtains the match play standard rod and corresponding place data；
Step 3: it according to the Historical Results data of user, the match play standard rod and place data schema stroke path and pushes away
It send to front end.
Further, the Historical Results data of user include mean difference point and each hitting distance of the user in above-mentioned steps one
The realization probability of range.
Further, in above-mentioned steps two place data packet include the continuous of boundary, alley, greens, obstacle and match play or from
Dissipate latitude and longitude coordinates data.
Further, above-mentioned step three specifically:
Step 101: generating batting feasibility side according to the Historical Results data of user, the match play standard rod and place data
Case list；
Step 102: feasible scheme being ranked up by Scheme Choice algorithm, the feasibility of accomplished maximum probability
Scheme；
Step 103: the feasible scheme for realizing maximum probability being pushed into front end and is shown.
Further, above-mentioned step 101 specifically includes the following steps:
Step 201: obtaining current hole bogie x and alley total distance l；
Step 202: calculating push rod number xtIf x is less than or equal to 4, xt=1, if x is greater than 4, xt=2；
Step 203: calculating several x that swingh, calculation formula are as follows: xh=x-xt；
Step 204: from high to low according to the realization probability of each hitting distance range in user data, passing through circular recursion
Mode combine, formed be no more than xtSecondary batting reaches all feasible scheme lists of total distance l；
Step 205: rejecting drop point in the feasible scheme of barrier according to place data, obtain batting feasible scheme column
Table.
Further, in above-mentioned step 204, user without Historical Results data and provide standard it is not good enough when, system compare
The not good enough similar user's history achievement data of standard, is combined by way of circular recursion, is formed to be no more than xtSecondary batting is arrived
Up to all feasible scheme lists of total distance l；If user is without historical data and without standard is not good enough or system is in cold start-up shape
State, the then default built-in path planning scheme of system automatically generated.
Further, above-mentioned steps 102 are specially each batting feasibility side for batting feasible scheme list
Case follows the steps below:
Step 301: the distance x between each drop point is obtained from the batting feasible scheme1To xn, wherein n is the total of drop point
Number, x1For first drop point to the distance for platform of serving a ball；
Step 302: obtaining x from Historical Results data1To xnProbability p is realized in corresponding batting1To pm；:
Step 303: calculating x1To xnSection t on corresponding system defaultuWith section t under system defaultlRange, system
Default upper section tuThe sum of the distance between court coboundary and corresponding drop point, section t under system defaultlBetween corresponding drop point
The difference of distance and court lower boundary；
Step 304: system traverses target range in [tl,tu] in all realization Probability psx, reject a maximum and minimum
Value after, obtain maximum realizing probability value pbWith Minimal Realization probability value pw；
Step 305: calculating the corresponding planning probability of distance between each drop point
Step 306: according to planning Probability p f1To pfnCalculate the realization Probability p of the programme, calculation formula are as follows: p=∏
pfn；
Further, in above-mentioned step three, user can actively modify stroke path, the active modification batting road
Diameter includes: to delete any drop point；Any drop point is dragged to adjust drop point site；Any non-drop point region is clicked newly to fall to be inserted into
The relationship of point, the system-computed new drop point and existing drop point simultaneously plans stroke path again.
A kind of manual planing method in golf ball-batting path, comprising the following steps:
Step 401: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 402: system obtains current geographic position by GPS, then obtains the match play number of user's selection and shows and is somebody's turn to do
The top view of match play；
Step 403: user is disposably arranged the position of each drop point by way of multiple point touching, or by click screen according to
The position of secondary each drop point of setting；
Step 404: system calculates the distance between each drop point and is sent to front end according to each drop point site；
Step 405: system according to the distance between the Historical Results data and each drop point of the user, calculate between each drop point away from
From corresponding realization probability and it is sent to front end；
Step 406: user is according to distance realization probability selection confirmation batting scheme corresponding with its between each drop point or returns
Return step 403.
By adopting the above-described technical solution, the beneficial effects of the present invention are:
Stroke path in the present invention plans that the Historical Results data based on court, the GPS information of match play and user generate
Then feasible scheme list passes through Scheme Choice algorithms selection optimal path and presents, it is ensured that user can get matching certainly
Body ability and the personalized path planning scheme in place effectively help user to promote achievement of playing ball；
The present invention can both plan personalized route scheme automatically according to historical data, can also be manually operated according to user
Plan stroke path, user can be by clicking each path point cooked up, and the functions such as realizing route point deletion, increase, movement are
The data such as distance between number of strokes, drop point site and each point are calculated and be shown automatically according to interaction results dynamic in system.
Detailed description of the invention
Fig. 1 is stroke path planning process schematic diagram of the invention.
Fig. 2 is automatic path planning flow diagram of the invention.
Fig. 3 is manual path planning process schematic diagram of the invention.
Specific embodiment
Referring to attached drawing 1-3, specific description is done to embodiments of the present invention.
A kind of golf ball-batting paths planning method, comprising the following steps:
Step 1: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 2: user selects the match play for needing to plan, obtains the match play standard rod and corresponding place data；
Step 3: it according to the Historical Results data of user, the match play standard rod and place data schema stroke path and pushes away
It send to front end.
Further, the Historical Results data of user include mean difference point and each hitting distance of the user in above-mentioned steps one
The realization probability of range.
Further, in above-mentioned steps two place data packet include the continuous of boundary, alley, greens, obstacle and match play or from
Dissipate latitude and longitude coordinates data.
Further, above-mentioned step three specifically:
Step 101: generating batting feasibility side according to the Historical Results data of user, the match play standard rod and place data
Case list；
Step 102: feasible scheme being ranked up by Scheme Choice algorithm, the feasibility of accomplished maximum probability
Scheme；
Step 103: the feasible scheme for realizing maximum probability being pushed into front end and is shown.
Further, above-mentioned step 101 specifically includes the following steps:
Step 201: obtaining current hole bogie x and alley total distance l；
Step 202: calculating push rod number xtIf x is less than or equal to 4, xt=1, if x is greater than 4, xt=2；
Step 203: calculating several x that swingh, calculation formula are as follows: xh=x-xt；
Step 204: from high to low according to the realization probability of each hitting distance range in user data, passing through circular recursion
Mode combine, formed be no more than xtSecondary batting reaches all feasible scheme lists of total distance l；
Step 205: rejecting drop point in the feasible scheme of barrier according to place data, obtain batting feasible scheme column
Table.
Further, in above-mentioned step 204, user without Historical Results data and provide standard it is not good enough when, system compare
The not good enough similar user's history achievement data of standard, is combined by way of circular recursion, is formed to be no more than xtSecondary batting is arrived
Up to all feasible scheme lists of total distance l；If user is without historical data and without standard is not good enough or system is in cold start-up shape
State, then the default built-in path planning scheme of system automatically generated, cold start refer to the reset condition of system when first used.
Further, above-mentioned steps 102 are specially each batting feasibility side for batting feasible scheme list
Case follows the steps below:
Step 301: the distance x between each drop point is obtained from the batting feasible scheme1To xn, wherein n is the total of drop point
Number, x1For first drop point to the distance for platform of serving a ball；
Step 302: obtaining x from Historical Results data1To xnProbability p is realized in corresponding batting1To pm；:
Step 303: calculating x1To xnSection t on corresponding system defaultuWith section t under system defaultlRange, system
Default upper section tuThe sum of the distance between court coboundary and corresponding drop point, section t under system defaultlBetween corresponding drop point
The difference of distance and court lower boundary；
Step 304: system traverses target range in [tl,tu] in all realization Probability psx, reject a maximum and minimum
Value after, obtain maximum realizing probability value pbWith Minimal Realization probability value pw；
Step 305: calculating the corresponding planning probability of distance between each drop point
Step 306: according to planning Probability p f1To pfnCalculate the realization Probability p of the programme, calculation formula are as follows: p=∏
pfn；
Further, in above-mentioned step three, user can actively modify stroke path, the active modification batting road
Diameter includes: to delete any drop point；Any drop point is dragged to adjust drop point site；Any non-drop point region is clicked newly to fall to be inserted into
The relationship of point, the system-computed new drop point and existing drop point simultaneously plans stroke path again.
A kind of manual planing method in golf ball-batting path, comprising the following steps:
Step 401: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 402: system obtains current geographic position by GPS, then obtains the match play number of user's selection and shows and is somebody's turn to do
The top view of match play；
Step 403: user is disposably arranged the position of each drop point by way of multiple point touching, or by click screen according to
The position of secondary each drop point of setting；
Step 404: system calculates the distance between each drop point and is sent to front end according to each drop point site；
Step 405: system according to the distance between the Historical Results data and each drop point of the user, calculate between each drop point away from
From corresponding realization probability and it is sent to front end；
Step 406: user is according to distance realization probability selection confirmation batting scheme corresponding with its between each drop point or returns
Return step 403.
By the boundary in the match play geography information of court in the present embodiment, alley, greens, match play, obstacle etc. are based on GIS data
It turns to continuous or discrete latitude and longitude coordinates and is recorded in spare in database.Wherein obstruction data attributes section be sand ground and
Water hazards.
The mode that front end is presented by APP the or H5 page in the present embodiment passes through cell phone display, and user can pass through this part
Obtain distance between the necessary information in relation to path planning, including number of strokes, drop point site and each point.
When user is dissatisfied to automatic open space planning, operation is as follows:
A) any drop point in front end page is clicked, the drop point can be deleted；
B) any drop point is dragged, can adjust the position of the drop point；
C) any non-drop point region is clicked, system calculates automatically and existing drop point relationship, and is inserted into new drop point；
D) distance between each drop point is calculated automatically and realizes probability；
E) distance and realization probability between display drop point.
Stroke path in the present invention plans that the Historical Results data based on court, the GPS information of match play and user generate
Then feasible scheme list passes through Scheme Choice algorithms selection optimal path and presents, it is ensured that user can get matching certainly
Body ability and the personalized path planning scheme in place effectively help user to promote achievement of playing ball；
The present invention can both plan personalized route scheme automatically according to historical data, can also be manually operated according to user
Plan stroke path, user can be by clicking each path point cooked up, and the functions such as realizing route point deletion, increase, movement are
The data such as distance between number of strokes, drop point site and each point are calculated and be shown automatically according to interaction results dynamic in system.
Claims (9)
1. a kind of golf ball-batting paths planning method, it is characterised in that the following steps are included:
Step 1: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 2: user selects the match play for needing to plan, obtains the match play standard rod and corresponding place data；
Step 3: it according to the Historical Results data of user, the match play standard rod and place data schema stroke path and pushes to
Front end.
2. a kind of golf ball-batting paths planning method according to claim 1, it is characterised in that: used in the step 1
The Historical Results data at family include the realization probability of mean difference point He each hitting distance range of the user.
3. a kind of golf ball-batting paths planning method according to claim 1, it is characterised in that: the step 2 midfield
Ground data include the continuous or discrete latitude and longitude coordinates data of boundary, alley, greens, obstacle and match play.
4. a kind of golf ball-batting paths planning method according to claim 2 or 3, it is characterised in that: the step
Three specifically:
Step 101: generating batting feasible scheme column according to the Historical Results data of user, the match play standard rod and place data
Table；
Step 102: feasible scheme being ranked up by Scheme Choice algorithm, the feasibility side of accomplished maximum probability
Case；
Step 103: the feasible scheme for realizing maximum probability being pushed into front end and is shown.
5. a kind of golf ball-batting paths planning method according to claim 4, it is characterised in that: the step 101
Specifically includes the following steps:
Step 201: obtaining current hole bogie x and alley total distance l；
Step 202: calculating push rod number xtIf x is less than or equal to 4, xt=1, if x is greater than 4, xt=2；
Step 203: calculating several x that swingh, calculation formula are as follows: xh=x-xt；
Step 204: from high to low according to the realization probability of each hitting distance range in user data, passing through the side of circular recursion
Formula combination is formed to be no more than xtSecondary batting reaches all feasible scheme lists of total distance l；
Step 205: rejecting drop point in the feasible scheme of barrier according to place data, obtain batting feasible scheme list.
6. a kind of golf ball-batting paths planning method according to claim 5, it is characterised in that: the step 204
In, user without Historical Results data and provide standard it is not good enough when, system compares standard almost similar user's history achievement data,
It is combined, is formed to be no more than x by way of circular recursiontSecondary batting reaches all feasible scheme lists of total distance l；If
User is without historical data and not good enough without standard or system is in cold start, then the default built-in path rule of system automatically generated
The scheme of drawing.
7. a kind of golf ball-batting paths planning method according to claim 4, it is characterised in that: step 102 tool
Body follows the steps below for each batting feasible scheme for batting feasible scheme list:
Step 301: the distance x between each drop point is obtained from the batting feasible scheme1To xn, wherein n is the total number of drop point,
x1For first drop point to the distance for platform of serving a ball；
Step 302: obtaining x from Historical Results data1To xnProbability p is realized in corresponding batting1To pm；:
Step 303: calculating x1To xnSection t on corresponding system defaultuWith section t under system defaultlRange, on system default
Section tuThe sum of the distance between court coboundary and corresponding drop point, section t under system defaultlBetween corresponding drop point distance with
The difference of court lower boundary；
Step 304: system traverses target range in [tl,tu] in all realization Probability psx, reject a maximum and the smallest value
Afterwards, maximum realization probability value p is obtainedbWith Minimal Realization probability value pw；
Step 305: calculating the corresponding planning probability of distance between each drop point
Step 306: according to planning Probability p f1To pfnCalculate the realization Probability p of the programme, calculation formula are as follows: p=∏ pfn.
8. a kind of golf ball-batting paths planning method according to claim 1, it is characterised in that: the step three
In, user can actively modify stroke path, and the stroke path of actively modifying includes: to delete any drop point；Dragging is any
Drop point is to adjust drop point site；Any non-drop point region is clicked to be inserted into new drop point, the system-computed new drop point and existing drop point
Relationship and plan stroke path again.
9. a kind of manual planing method in golf ball-batting path, it is characterised in that the following steps are included:
Step 401: the GPS information in initialization court and match play, the Historical Results data of initialising subscriber；
Step 402: system obtains current geographic position by GPS, then obtains the match play number of user's selection and shows the match play
Top view；
Step 403: the position of each drop point is disposably arranged in user by way of multiple point touching, or is successively set by clicking screen
Set the position of each drop point；
Step 404: system calculates the distance between each drop point and is sent to front end according to each drop point site；
Step 405: system calculates the distance pair between each drop point according to the distance between the Historical Results data and each drop point of the user
The realization probability answered simultaneously is sent to front end；
Step 406: user is according to distance realization probability selection confirmation batting scheme corresponding with its between each drop point or returns to step
Rapid 403.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810607857.8A CN108970083B (en) | 2018-06-13 | 2018-06-13 | Golf hitting path planning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810607857.8A CN108970083B (en) | 2018-06-13 | 2018-06-13 | Golf hitting path planning method |
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| CN108970083A true CN108970083A (en) | 2018-12-11 |
| CN108970083B CN108970083B (en) | 2020-06-02 |
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| CN201810607857.8A Expired - Fee Related CN108970083B (en) | 2018-06-13 | 2018-06-13 | Golf hitting path planning method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114980985A (en) * | 2019-10-22 | 2022-08-30 | 标准点高尔夫有限责任公司 | System and method for scoring golf |
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| CN101318068A (en) * | 2008-06-23 | 2008-12-10 | 柯文生 | Method for establishing performance data base of golf ball player with global positioning system |
| CN103252070A (en) * | 2012-02-15 | 2013-08-21 | 幻音科技(深圳)有限公司 | Auxiliary method and system in clock-golf |
| CN103648593A (en) * | 2011-04-05 | 2014-03-19 | 耐克国际有限公司 | Systems and methods for storing and analyzing golf data, including community and individual golf data collection and storage at a central hub |
| CN107050813A (en) * | 2017-01-03 | 2017-08-18 | 深圳市酷高网络科技有限公司 | The householder method of golf |
| GB2551535A (en) * | 2016-06-21 | 2017-12-27 | Alexander Borrie John | A golf swing analyser |
-
2018
- 2018-06-13 CN CN201810607857.8A patent/CN108970083B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101318068A (en) * | 2008-06-23 | 2008-12-10 | 柯文生 | Method for establishing performance data base of golf ball player with global positioning system |
| CN103648593A (en) * | 2011-04-05 | 2014-03-19 | 耐克国际有限公司 | Systems and methods for storing and analyzing golf data, including community and individual golf data collection and storage at a central hub |
| CN103252070A (en) * | 2012-02-15 | 2013-08-21 | 幻音科技(深圳)有限公司 | Auxiliary method and system in clock-golf |
| GB2551535A (en) * | 2016-06-21 | 2017-12-27 | Alexander Borrie John | A golf swing analyser |
| CN107050813A (en) * | 2017-01-03 | 2017-08-18 | 深圳市酷高网络科技有限公司 | The householder method of golf |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114980985A (en) * | 2019-10-22 | 2022-08-30 | 标准点高尔夫有限责任公司 | System and method for scoring golf |
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