CN110314368B - Auxiliary method, device, equipment and readable medium for billiard ball hitting - Google Patents

Auxiliary method, device, equipment and readable medium for billiard ball hitting Download PDF

Info

Publication number
CN110314368B
CN110314368B CN201910516326.2A CN201910516326A CN110314368B CN 110314368 B CN110314368 B CN 110314368B CN 201910516326 A CN201910516326 A CN 201910516326A CN 110314368 B CN110314368 B CN 110314368B
Authority
CN
China
Prior art keywords
hitting
ball
selection
batting
profit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910516326.2A
Other languages
Chinese (zh)
Other versions
CN110314368A (en
Inventor
梁栋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Liang Dong
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201910516326.2A priority Critical patent/CN110314368B/en
Publication of CN110314368A publication Critical patent/CN110314368A/en
Application granted granted Critical
Publication of CN110314368B publication Critical patent/CN110314368B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63D—BOWLING GAMES, e.g. SKITTLES, BOCCE OR BOWLS; INSTALLATIONS THEREFOR; BAGATELLE OR SIMILAR GAMES; BILLIARDS
    • A63D15/00—Billiards, e.g. carom billiards or pocket billiards; Billiard tables
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63D—BOWLING GAMES, e.g. SKITTLES, BOCCE OR BOWLS; INSTALLATIONS THEREFOR; BAGATELLE OR SIMILAR GAMES; BILLIARDS
    • A63D15/00—Billiards, e.g. carom billiards or pocket billiards; Billiard tables
    • A63D15/20—Scoring or registering devices

Landscapes

  • Cosmetics (AREA)
  • Image Analysis (AREA)

Abstract

The embodiment of the invention discloses an auxiliary method, a device, equipment and a readable medium for billiard ball hitting, wherein the method comprises the following steps: the method comprises the steps of obtaining table surface information of a billiard table and ball identification and position information of a plurality of balls on the current table surface; determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting point position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters; calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit values and the profit probabilities; and determining a target hitting selection in the hitting selection according to the expected profit value, and outputting the target hitting selection. By adopting the billiard ball hitting assisting method and device, the application range of billiard ball hitting assisting can be enlarged on the premise of improving accuracy of billiard ball hitting assisting, and user experience is improved.

Description

Auxiliary method, device, equipment and readable medium for billiard ball hitting
Technical Field
The invention relates to the technical field of billiard sports and the technical field of artificial intelligence, in particular to an auxiliary method, device, equipment and readable medium for billiard hitting.
Background
Machine vision and artificial intelligence have recently begun to be applied to electronic scoring for billiard games or auxiliary systems for billiard practice. In the prior art, shooting and video acquisition can be carried out on the process of billiard competition or billiard practice through a shooting device, the position of each billiard on a billiard table surface is obtained, and then follow-up operation is carried out to realize electronic scoring or recommended billiard practice.
In the related technical scheme, the technical scheme that the next hitting route of the user can be recommended and guided in the process of hitting the billiards is to recommend the corresponding hitting direction according to the number of scores of a plurality of optional hitting routes existing on the current billiard table surface; or recommending a corresponding hitting direction according to whether a certain hitting ball can enter a corresponding bag opening or not; also, in the course of recommending a putting plan, it is generally considered only whether the hitting direction can make the corresponding target ball enter the pocket to score. However, in the above recommendation scheme for ball hitting selection, a goal scene is considered, that is, a bagless billiard ball is considered, and a recommendation of a ball hitting route of a bagless billiard ball (for example, Kairan billiard ball) is not considered, so that the recommendation of the corresponding ball hitting route can only realize a recommendation of a simple ball hitting direction of the bagless billiard ball, and is not suitable for the bagless billiard ball.
Disclosure of Invention
Based on the above, the invention provides a method and a device for assisting billiard hitting, which are applicable to bagless billiards and bagless billiards, and improve the application range of billiard hitting assistance.
In a first aspect of the invention, a method of assisting in the striking of a billiard ball is provided.
A method of assisting in the hitting of a billiard ball, comprising:
the method comprises the steps of obtaining table surface information of a billiard table and ball identification and position information of a plurality of balls on the current table surface;
determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting point position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters;
calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value and the profit probability;
determining a target stroke selection among the at least one stroke selection according to the expected profit value, and outputting the target stroke selection.
Optionally, the step of determining a hitting return value corresponding to each hitting selection further comprises:
determining a ball walking route corresponding to the ball hitting selection according to the ball hitting parameters, the ball marks of the balls and the position information, wherein the ball walking route comprises one or more of collision edges, collision balls, goal marks and/or goal bag openings, and calculating the ball hitting profit value according to the ball walking route and a preset ball hitting score calculation model.
Optionally, the step of determining at least one hitting selection corresponding to the current playing surface and hitting parameters corresponding to the hitting selection further includes:
determining a plurality of batting combinations according to batting directions, batting force and/or preset value ranges of batting point positions;
judging whether the batting combination is matched with a preset batting rule or not; and if so, taking the hitting ball combination as the hitting ball selection corresponding to the current table top.
Optionally, before the step of calculating an expected profit value corresponding to each shot selection according to a preset profit calculation model, the method further includes:
classifying the at least one batting selection according to the batting parameters and the batting income values, and determining at least one batting combination cluster, wherein batting choices in the same batting combination cluster have the same batting income value and batting parameters are continuous;
calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value and the profit probability; determining a target shot selection among the at least one shot selection based on the expected profit value, further comprising:
calculating an expected profit value corresponding to the batting combination cluster according to a preset profit calculation model;
determining a target shot selection in the at least one shot combination cluster based on the expected profit value.
Optionally, the step of calculating an expected profit value corresponding to the batting combination cluster according to a preset profit calculation model further includes:
determining the number of the ball hitting choices contained in the ball hitting combination cluster, and determining the expected profit value corresponding to the ball hitting combination cluster through the ball hitting profit value and the number of the ball hitting choices contained in the ball hitting combination cluster.
Optionally, the step of determining an expected profit value corresponding to the ball striking combination cluster by the ball striking profit value and the number of ball striking selections of the ball striking combination cluster includes:
the expected profit value is the profit value for a shot x the number of shots selected.
Optionally, the ball hitting selection comprises a first hit ball;
the step of calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value and the profit probability further comprises:
calculating a first expected income corresponding to the first batting according to the batting income value and the income probability;
calculating a second expected return for the stroke selection, the second expected return being indicative of a scored return for a second and/or multiple stroke at the first stroke;
determining the expected revenue value according to the first expected revenue and the second expected revenue.
Optionally, the step of determining a target stroke selection among the at least one stroke selection according to the expected profit value further comprises:
determining the shot selection with the largest expected profit value as the shot selection to be selected;
and determining that the expected profit value of the selection of the candidate ball is greater than or equal to a preset score threshold value.
Optionally, after the step of determining that the expected profit value of the selection of the candidate ball is greater than or equal to the preset score threshold, the method further includes:
determining a defending profit value corresponding to each batting selection under the condition that the expected profit value of the batting selection to be selected is smaller than a preset score threshold value, wherein the defending profit value is used for representing the scoring profit of batting of the opposite player under the batting selection;
and determining target batting selection according to the income probability and the defense profit value.
Optionally, the step of determining a target hitting selection according to the profit probability and the defensive profit value further includes:
and calculating an expected profit value under defense with each batting selection according to the profit probability and the defense profit value corresponding to each batting selection, wherein the expected profit value is positively correlated with the profit probability and inversely correlated with the defense profit value.
In addition, in the invention, a device for recommending the selection of the hitting ball is also provided.
A ball selection recommendation device comprising:
the information acquisition module is used for acquiring the table top information of the billiard table and the ball identification and position information of a plurality of balls on the current table top;
the hitting selection determining module is used for determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters;
the expected profit calculation module is used for calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value and the profit probability;
and the target hitting selection determining module is used for determining a target hitting selection in the at least one hitting selection according to the expected profit value and outputting the target hitting selection.
In the present invention, a terminal device is also provided, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the method for assisting a billiard ball as described above when executing the computer program.
In the present invention, a computer-readable storage medium is also presented, which comprises computer instructions, which when run on a computer, cause the computer to perform the method of assisting a billiard shot as described above.
The embodiment of the invention has the following beneficial effects:
after the method, the device, the equipment and the computer readable medium for assisting the hitting of the billiards are adopted, in the process of assisting the hitting of the billiards, the hitting choices which can be carried out at present are determined by collecting the position information of the billiards on the billiard table surface and the hitting parameters such as the hitting direction, the hitting force, the hitting point position and the like which are considered, and the hitting profit value and the profit probability corresponding to each hitting choice are calculated; the expected profit value for each shot selection is then calculated and the best of the alternative shot selections is selected for recommendation based on the expected profit maximization principle. Moreover, the method for assisting billiard ball hitting can be applied to baggy billiards (snooker and the like) and bagless billiards (openwork billiards), the application range of billiard ball hitting assistance is expanded, the method, the device, the equipment and the computer readable medium for assisting billiard ball hitting can be adopted in the process of training any type of billiards by players, and user experience is improved.
Furthermore, in this embodiment, when considering which hitting selection and the corresponding hitting parameter to recommend, the profit condition and the profit probability under the hitting selection are comprehensively considered, and how to maximize the profit is fully considered, so that the accuracy of the hitting assistance is higher, the referential performance and operability of the provided hitting selection are higher, the practicability of the billiard hitting assistance is improved, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a schematic flow diagram of a method of assisting in the striking of a billiard ball in one embodiment;
FIG. 2 is a schematic view of a ball striking point location in one embodiment;
FIG. 3 is a schematic flow diagram illustrating calculation of expected profit values for a two shot hit in one embodiment;
FIG. 4 is a schematic diagram of a ball selection recommender in accordance with one embodiment;
fig. 5 is a schematic configuration diagram of a computer apparatus for executing the method for assisting a billiard ball hitting in one embodiment.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Based on this, in the present embodiment, an auxiliary method for a billiard shot is proposed. The method is used for recommending the optimal ball hitting selection by considering whether each ball hitting selection can score and the corresponding score, considering the goal difficulty of the target ball corresponding to each ball hitting selection and integrating the score and the goal difficulty, and is suitable for baggy billiards (such as snooker, eight billiards and the like) and bagless billiards (such as openning billiards), so that the application range and the accuracy of the ball hitting selection recommendation in the billiard auxiliary system are improved, and the user experience is improved.
It should be noted that, in the present embodiment, the hitting aid takes into account the score corresponding to the goal after each hit, that is, the application scenario corresponding to the hit may be snooker. The service ball of snooker includes 1 white ball (or mother ball, main ball), 15 red balls and 6 color balls (yellow, green, coffee, blue, pink, black). Players or players need to complete the hitting and bagging of other balls by the white ball according to the rules of snooker, thereby scoring. When a player strikes a ball, the player can judge the ball which can be struck, a bag opening into which the ball enters, a corresponding striking direction, force and the like according to the fact that the target ball in the current step is a red ball or a color ball with a certain color.
In another embodiment, the process of ball striking assistance also considers the score of each ball striking under bagless billiards, and the corresponding application scenario may be Karan billiards, and during the ball striking process of a player, a cue ball needs to hit a certain number of times of the pool edge or the target ball to score. When a player hits a ball, the direction, force and the like of the current hit ball need to be judged according to the positions of a cue ball and a target ball on the current table board.
Generally, players strike the ball by comparing the striking difficulty and the score of each line through own experience, and the judgment is subjective; particularly, it is difficult for the first-class player to determine each stroke selection and the corresponding stroke difficulty, so that the billiard auxiliary system provides an auxiliary for billiard stroke, and can provide a user with a stroke with high score and high score probability to assist the player in hitting the stroke.
The implementation of the method for assisting in hitting a billiard ball described above may rely on a computer program that is executable on a computer system based on the von neumann architecture, which may be based on a billiard ball assisting system or an application program to which the corresponding application is applied. It should be noted that, in this embodiment, the implementation of the method is based on collecting and storing the position information and the like of each ball on the billiard table surface through video collection or other manners, that is, the distribution information of the balls on the billiard table surface that needs to be monitored or assisted is collected through other equipment, or the corresponding video information is acquired through a camera device provided on the equipment on which the current method is based, or the distribution information of the balls on the billiard table surface is acquired according to the video information.
In this embodiment, the attribute information of the billiard table, such as the size of the billiard table and the pocket information (which is the case when there is a pocket of billiards), is obtained in advance, for example, by the size information of the billiard table; the parameters are input into the computer equipment in advance, so that the billiard ball auxiliary system can read the information for analysis or calculation when the information needs to be acquired in the subsequent analysis and calculation processes.
Specifically, as shown in fig. 1, the method for assisting a billiard ball hitting includes the following steps S101 to S103:
step S101: the method comprises the steps of obtaining table surface information of the billiard table and ball identification and position information of a plurality of balls on the current table surface.
As described above, the attribute information of the billiard table such as the size and the like is information that can be acquired in advance by measurement and stored in the computer device to be acquired, for example, the size, the frame position and the like of the billiard ball, and the bag opening position and the like in the case of the baggy billiard ball. Furthermore, the computer device on which the method is based is also connected with a camera device, and the camera device is used for acquiring corresponding video information/image information on the billiard table so as to determine the position information and the ball identification (such as color) of each ball on the billiard table. That is, in this step, the position information of the plurality of balls (and the position information of the pocket openings) on the current table top of the billiard table can be obtained. The position information of the ball can be coordinate information, and the specific position of the ball on the table top can be identified, so that the related position of the ball can be conveniently positioned in the subsequent calculation process; the ball identification of the ball is used to identify the kind, color, etc. of the different balls for calculating the corresponding score in the subsequent process. In this embodiment, the different balls may be identified by letters or numbers. For example, in snooker, the cue ball is marked W1, the red ball is marked R, and the color ball is marked by the color of the color ball, wherein the yellow ball is marked Y, the green ball is marked G, the coffee ball is marked C, the blue ball is marked B, the pink ball is marked P, and the black ball is marked H. For another example, in Karre billiards, the cue ball or the main ball is identified as W or Y, and the red ball is identified as R. The specific classification and determination can be carried out according to the number and specific identification of the balls in the corresponding billiard ball type.
After the position of each ball on the playing surface is determined, all of the selections that the player can currently make to hit the ball are determined.
Step S104: determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting point position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters.
In this embodiment, each hitting can be determined according to hitting parameters such as hitting direction (hitting direction), hitting point position, hitting force and the like, and any change of hitting parameters may cause a difference in route, collision condition and score of the hit ball, that is, different hitting parameters correspond to different results.
For example, in the case of considering 3 factors including the hitting direction, the hitting point position, and the hitting force (other factors may also affect hitting, but are not considered in this embodiment), the hitting direction includes a horizontal direction and a vertical direction (a binding angle), and the horizontal direction includes 0 to 360 °; the hitting point position is a position where the club hits a white ball, for example, a high-low position and a left-right position of the hitting point; the hitting power is expressed as an initial speed when the white ball is hit, and the like.
For convenience of calculation, in this embodiment, the hitting parameters may be discretely quantized, and the hitting directions include a horizontal direction and a vertical direction (a club binding angle), in this embodiment, only the horizontal direction is considered (it is mentioned that the hitting direction refers to a horizontal hitting direction), and for convenience of calculation, in a specific implementation, the hitting directions are quantized into 360 directions at intervals of 1 degree (in other embodiments, the intervals of 0.5 degree or other intervals may also be adopted); the hitting point position is a position where the ball is hit by the ball rod, as shown in fig. 2, the hitting point position may be quantized into 9 positions, such as a center pole, a high pole, a low pole, a center pole left plug, a high pole left plug, a low pole left plug, a center pole right plug, a high pole right plug, and a low pole right plug (in other embodiments, the hitting point position may be further divided); the hitting force is represented by the initial speed of the white ball when the white ball is hit out, and the hitting force can be quantized into 5 forces such as medium force, medium and small force, medium and large force, and large force (in other embodiments, the quantization of the hitting force can be further divided into more detail). Under the above quantification scheme, one shot includes 360 × 9 × 5 ═ 16200 possibilities, that is, there are 16200 shot choices, and each shot choice corresponds to different shot parameters.
That is, in the present embodiment, a plurality of ball striking parameter combinations (ball striking combinations) corresponding to different values of the ball striking parameters are determined according to possible value ranges (preset value ranges) of the ball striking parameters, such as the ball striking direction, the ball striking force, and/or the position of the ball striking point, and each ball striking combination is a ball striking selection.
Further, a combination of partial shots that score 0 during a particular calculation is invalid (e.g., no score, or an impassable handicap ball is present, etc.). In this case, when various ball selection is considered, it is also possible to directly not calculate such ball combination in the ball selection determined in step S104. Specifically, whether the determined hitting combination is matched with a preset hitting rule is judged, and the hitting rule is a rule of a corresponding billiard category, for example, a red ball should be hit in snooker. In the case where the determined ball striking combination matches the preset ball striking rule, the ball striking combination is taken as one of the ball striking selections corresponding to the current table determined in step S104.
In this embodiment, when the hitting parameters are considered, the hitting parameters are not limited to the 3 hitting parameters of the hitting direction, the hitting force, and the hitting point position, and may include other hitting parameters that may affect the hitting result. In other embodiments, the factors considered in the hitting process can be reduced, and only one or some of the 3 hitting parameters of the hitting direction, the hitting force and the hitting point position can be used as the factors considered in the hitting auxiliary recommendation process. For example, only the hitting direction may be considered for the low-rank player, but 3 hitting parameters of the hitting direction, the hitting power, and the hitting point position may be considered for the high-rank player. Therefore, before the ball striking assistance is performed, it is also necessary to determine the rank or preference of the player or the like in order to perform personalized setting.
After the hitting selection is determined according to the hitting parameters, the trajectory of the ball falling in the hitting selection, the collision condition with the library edge and/or the ball or whether the ball enters the pocket mouth can be determined according to the position information of the ball on the current table, so that the score corresponding to the hitting can be determined, and the score is the hitting profit value under the hitting selection.
Specifically, a ball walking route corresponding to the selection of the hitting balls is determined according to the hitting parameters, the ball identifiers and the position information of a plurality of balls and a preset physical model, namely, relevant collision information such as collision edges and collision balls of the balls in a moving track is determined, the moving track and the final stop position of each ball after collision are determined, and the ball entering condition under the condition of baggy billiards is also included, so that the corresponding hitting ball profit value is calculated according to the preset hitting score calculation model.
The different combinations between the hitting parameters determine the hitting choices, and the more combinations of hitting parameters a hitting choice corresponds to, the higher the probability of scoring. In this embodiment, one shot selection may correspond to only one combination of shot parameters, with a score probability (i.e., profit probability) of 1; in another example, one hitting selection may correspond to a combination of a plurality of hitting parameters (a combination of a set of hitting parameters), for example, the hitting direction is 90 degrees, the hitting positions may be 9 positions, such as a center stick, a high stick, a low stick, a center stick left plug, a high stick left plug, a low stick left plug, a center stick right plug, a high stick right plug, and a low stick right plug, and the hitting force is 3 force selections, such as a middle force, and a large force, and the hitting selection includes a combination of 1 × 9 × 3 — 27 hitting parameters, and has a profit probability of 27.
It should be noted that different hitting directions, hitting point positions, and hitting power may have different corresponding completion probabilities, for example, when the hitting power is a low power, a player is prone to hit a ball error, and when the hitting power is a medium power, a player is not prone to hit a ball error, so that when the profit probability is calculated, the difficulty corresponding to different hitting parameters may also be considered.
Step S106: and calculating an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value and the profit probability.
According to the foregoing, each hitting selection corresponds to a hitting profit value corresponding thereto and a profit probability corresponding thereto, and an expected profit situation corresponding to the hitting selection, that is, an expected profit value corresponding to the hitting selection, can be calculated according to the hitting profit value and the profit probability.
For example, in one embodiment, the expected profit value is equal to the product of the hitting profit value and the profit probability, that is, the predetermined profit computation model is:
the expected profit value is the batting profit value x profit probability.
In this embodiment, the expected profit value may be calculated by considering a defense situation in a case where a plurality of shots are taken or a first shot is not taken in exchange for an opponent shot. That is, the selection of shots includes a first shot and a second shot (second shot), and even a third shot.
In the case of considering multiple shots, the calculation of the expected profit value also needs to be performed in multiple steps.
Specifically, as shown in fig. 3, the method includes the following steps S202 to S206:
step S202: calculate the profit for the first hit: calculating a first expected profit corresponding to the first batting according to the batting profit value and the profit probability corresponding to the first batting;
step S204: calculating the hitting income and income probability corresponding to the batting or batting again under each batting selection of the first batting, and determining the corresponding second expected income, wherein the second expected income is used for representing the scoring income condition of batting again and/or batting many times under the batting selection;
step S206: the expected benefit value is determined based on the first expected benefit and the second expected benefit, for example, the expected benefit value is calculated according to a preset expected benefit formula.
The calculation of the expected profit value is explained below.
Specifically, the description will be made by taking only the current shot as an example, that is, the shot selection includes only the current shot, and the shot selection of the current shot is the first shot. That is, it is necessary to explain the score profit at the first shot.
The expected profit value is calculated by the formula:
E＝P1G1，
where the expected profit value, P, is E1To obtain a probability of profit, G1The ball hitting profit value is obtained.
In the case of considering two shots, in addition to calculating the profit of the first shot, it is necessary to estimate the situation after the first shot, consider hitting again each situation and calculate the profit.
The expected profit value is calculated by the formula:
E＝E1+E2＝P1G1+P1P2G2，
wherein E is the expected yield, E1For the first expected profit, E2For the second expected benefit, P1Probability of return for first hit, G1A ball strike return value for the first strike; p2Probability of return for second hit, G2The ball return value for the second shot.
Taking the foregoing quantification of the stroke parameters as an example, in the case of considering two strokes, 16200 would need to be included when considering stroke selection2Seed combination; by analogy, considering N consecutive shots, 16200 total shots need to be consideredNAnd (4) combination.
Step S108: determining a target stroke selection among the at least one stroke selection according to the expected profit value, and outputting the target stroke selection.
Generally, when a player hits a ball, it is desirable to maximize the benefit corresponding to the selection of the shot, and in this embodiment, the benefit maximization may be expressed as the maximization of the expected benefit value.
In this step, for each shot selection, the selection whose return is maximized is the shot selection for which the return value is expected to be the greatest, i.e., the target shot selection. That is, it is equivalent to determine the optimum combination of the above-described plurality of hitting parameters, which is the target hitting selection, for the profit.
In the embodiment, according to the principle of expected profit maximization, a target hitting selection is determined in the hitting selection, and the target hitting selection hitting parameters are acquired and output, so that the player or the player is assisted in hitting. In this embodiment, the output shot selection may be a shot selection for more than one shot (a shot selection including only the current shot, or a shot selection including a plurality of shots).
Further, in this embodiment, the manner of outputting the target hitting selection may be outputting in a text manner (for example, outputting text through a display screen, or prompting through voice), or outputting in a visual manner, for example, outputting a simulated circuit diagram through a display screen, or displaying by projecting on a billiard table.
As described above, in the present embodiment, only the scoring yield (i.e., the first expected yield) of the current shot may be considered in consideration of the yield maximization, and the scoring yield (i.e., the second expected yield) of the shots other than the current shot may be considered. In order to further improve the user experience, the number of steps of the shots taken into account in the process of taking the scoring benefit into account may be set, for example, according to different levels of players, for example, only the current shot or two shots are taken into account for the first player, and two or more shots are taken into account for the higher-order players. That is, the determination may be made according to the rank of the player, or according to the input of the user.
It should be noted that, in this embodiment, when considering the target hitting option, it is also necessary to consider whether the expected profit value corresponding to the target hitting option is expected, and if not, the current profit may be considered too poor, and other schemes such as defense may be considered.
Specifically, in determining the target stroke selection, it is also necessary whether or not the expected profit value of the stroke selection having the largest expected profit value determined among the respective stroke selections is greater than or equal to a preset score threshold value, and the stroke selection is selected as the target stroke selection only in the case where the expected profit value thereof is greater than or equal to the preset score threshold value. Conversely, if the expected revenue value is less than the preset score threshold, other strategies may need to be considered. In this embodiment, the revenue situation in the defensive situation may continue to be considered.
Specifically, under the condition that the expected profit value of the ball hitting selection to be selected is smaller than a preset score threshold value, a defending profit value corresponding to each ball hitting selection is determined, wherein the defending profit value is used for representing the score profit of the opposite player in the ball hitting selection; and determining target batting selection according to the income probability and the defense profit value.
In consideration of not scoring at the first hit (G)10), the opponent may hit the ball and the opponent may score or may lose the score. In this case, the defensive profit margin E3The income of the opposite party under different batting choices, E is the expected income value:
E＝P1/E3＝P1/P3G3，
wherein, P3Probability of return for the other party to hit the ball, G3The hitting yield value of the opposite player.
That is, the target shot selection is determined such that the higher the expected profit value, the better, i.e., the higher the probability of hitting the ball in place for the first time, the lower the probability of success of the opposite shot, and the lower the profit.
In the hitting choices determined by different hitting parameters, a plurality of hitting choices are similar and adjacent, for example, only the hitting direction has a difference of 1 degree (210 degrees and 211 degrees), other hitting parameters are the same, and the score profit is also the same, that is, in this case, the player can select any angle of 210 degrees and 211 degrees.
In this embodiment, similar, adjacent shots as described above may also be selected as one cluster of combinations (shot cluster). Taking snooker as an example, assuming that the hitting direction is one of 50 degrees, 51 degrees and 52 degrees, the hitting point is one of a middle club, a high club and a low club, the hitting force is one of a middle force and a middle and large force, 3 × 3 × 2-18 hitting choices form a hitting combination cluster, and the hitting profit values of the 9 hitting choices are all 3 points, so that the hitting profit value is 3. For another example, the hitting direction is one of 210 degrees and 211 degrees, the hitting point is one of a middle-height left plug and a high-height left plug, the hitting force is one of middle force, middle force and middle force, a total of 2 × 2 × 3 to 12 hitting choices form a hitting combination cluster, the hitting profit value of the 12 hitting combinations is 5 points, and the hitting profit value is 5 points.
That is, in the present embodiment, the plurality of ball hitting selections are classified or clustered according to the ball hitting parameters and the corresponding ball hitting profit values, and all the ball hitting selections are divided into a plurality of ball hitting combination clusters, wherein the ball hitting profit values corresponding to all the ball hitting selections in each ball hitting combination cluster are the same, and the values of the ball hitting parameters are continuous.
Further, in this embodiment, the process of subsequently calculating the expected profit of the ball hitting selection may be a process of calculating an expected profit value corresponding to the ball hitting combination cluster, and the final output target ball hitting selection is also an optimal ball hitting combination cluster.
Specifically, in one embodiment, an expected profit value is calculated for each shot combination cluster. For example, a process of calculating a sum of the expected profit values corresponding to the plurality of shot selections contained in the shot combination cluster.
In a specific example, as in the foregoing example of the ball striking combination cluster, assuming that the ball striking direction is one of 50 degrees, 51 degrees, and 52 degrees, the ball striking position is one of a middle stick, a high stick, and a low stick, and the ball striking force is one of a middle force and a middle force, a total of 3 × 3 × 2 — 18 ball striking choices constitute the ball striking combination cluster, and the ball striking profit values of the 9 ball striking choices are all 3 points, so that the ball striking profit value is 3, the profit probability is 18, and the expected profit value is 18 × 3 — 54. For another example, the hitting direction is one of 210 degrees and 211 degrees, the hitting point is one of a middle-height left plug and a high-height left plug, the hitting force is one of middle force, middle force and middle force, a total of 2 × 2 × 3 to 12 hitting choices form a hitting combination cluster, the hitting profit value of all the 12 hitting combinations is 5 points, the hitting profit value is 5, the profit probability is 12, and the expected profit value is 12 × 5 to 60.
That is, the expected profit value of the ball striking combination cluster may be calculated by determining an expected profit value corresponding to the ball striking combination cluster from the ball striking profit value and a ball striking selection number determined according to the ball striking selection number included in the ball striking combination cluster, that is, a profit probability.
When a recommendation of a target shot selection is made, a shot combination cluster with the largest expected profit value is output. As previously described, assuming that only clusters where the two expected benefit values are non-zero or exceed a preset scoring threshold (e.g., 50) are available from all shot combination clusters, then only the second shot combination cluster where the expected benefit value is greatest may be clustered. Describing the shot combination cluster may take a description of shot parameters where the shot is as close to the center as possible, for example a second shot combination cluster may be described as: the hitting direction is 210 degrees, the hitting position is a left plug of a middle club, and the hitting force is middle force; a virtual shot cluster may also be constructed with its center position, for example, a second shot cluster may be described as: the hitting direction is 210.5 degrees, the hitting position is a middle-high left plug, and the hitting force is middle force.
Similarly, where two shots or multiple shots are considered, i.e., a cluster of multi-step shot combinations, the expected benefit value is calculated as E-P1G1+P1P2G2+…+P1P2…PNGN. The cluster of one or several multi-step ball hits with the highest or greater expected profit value is the recommended multiple hit plan for the player, for example: the first-club hitting direction is 210 degrees, the hitting point is a middle-club left plug, the hitting force is middle force, the second-club hitting direction is 120 degrees, the hitting point is a high club, and the hitting force is middle force.
Similarly, when the recommended target hitting ball which is finally output is selected as one hitting ball combination cluster, the defense can be considered under the condition that the expected profit value of a plurality of hitting ball combination clusters is smaller than the preset score threshold value; i.e. G1The corresponding expected profit value E is calculated as follows:
E＝P1/E3＝P1/P3G3，
wherein, P3Probability of return for a ball hit by the opposite party, G3The ball hitting yield value of the ball hitting combined cluster for the opposite side.
Further, in the present embodiment, a ball-hitting selection recommending apparatus is also proposed.
Specifically, as shown in fig. 4, the device for recommending ball hitting selection includes the following modules:
the information acquisition module 102 is configured to acquire table top information of a billiard table and ball identifiers and position information of a plurality of balls on a current table top;
the hitting selection determining module 104 is configured to determine at least one hitting selection corresponding to the current table and hitting parameters corresponding to the hitting selection, determine a hitting profit value corresponding to each hitting selection, where the hitting parameters at least include one or more of a hitting direction, a hitting force, and/or a hitting position, and determine a profit probability corresponding to the hitting selection according to the hitting parameters;
an expected profit calculation module 106, configured to calculate an expected profit value corresponding to each batting selection according to a preset profit calculation model, the batting profit value, and the profit probability;
a target stroke selection determining module 108 for determining a target stroke selection among the at least one stroke selection according to the expected profit value, and outputting the target stroke selection.
In a specific embodiment, the ball hitting selection determining module 104 is further configured to determine a ball walking route corresponding to the ball hitting selection according to the ball hitting parameters, the ball identifiers of the plurality of balls, and the position information, where the ball walking route includes one or more of a collision edge, a collision ball, a goal identifier, and/or a goal mouth, and the ball hitting profit value is calculated according to the ball walking route and a preset ball hitting score calculation model.
In a specific embodiment, the hitting selection determining module 104 is further configured to determine a plurality of hitting combinations according to a preset value range of the hitting direction, the hitting force and/or the hitting point position; judging whether the batting combination is matched with a preset batting rule or not; and when the hitting combination is matched with the preset hitting rule, the hitting combination is used as the hitting selection corresponding to the current table top.
In a specific embodiment, the hitting choice determining module 104 is further configured to classify the at least one hitting choice according to the hitting parameters and hitting profit values, and determine at least one hitting combination cluster, where hitting choices in the same hitting combination cluster have the same hitting profit value and the hitting parameters are continuous; the expected profit calculation module 106 is further configured to calculate an expected profit value corresponding to the batting combination cluster according to a preset profit calculation model; the target shot selection determination module 108 is further configured to determine a target shot selection in the at least one shot combination cluster based on the expected profit value.
In a specific embodiment, the expected benefit calculation module 106 is further configured to determine a number of shot selections for the shot selections included in the shot combination cluster, and determine an expected benefit value corresponding to the shot combination cluster from the shot selection and the shot selection number included in the shot combination cluster.
In a particular embodiment, the expected revenue calculation module 106 is further operable to calculate a desired revenue based on the formula
Expected profit value-benefit value of hitting ball x number of hits selected
And calculating an expected profit value corresponding to the batting combination cluster.
In a particular embodiment, the ball hitting selection includes a first hit; the expected income calculating module 106 is further used for calculating a first expected income corresponding to the first batting according to the batting income value and the income probability; calculating a second expected return for the stroke selection, the second expected return being indicative of a scored return for a second and/or multiple stroke at the first stroke; determining the expected revenue value according to the first expected revenue and the second expected revenue.
In a particular embodiment, the target stroke selection determination module 108 is further configured to determine the stroke selection with the greatest expected profit value as the candidate stroke selection; and determining that the expected profit value of the selection of the candidate ball is greater than or equal to a preset score threshold value.
In a specific embodiment, the expected profit calculation module 106 is further configured to determine a defensive profit value corresponding to each ball hitting selection in the case that the expected profit value of the ball hitting selection to be selected is smaller than a preset score threshold, where the defensive profit value is used for representing the yield of the ball hitting of the opponent player under the ball hitting selection; the target stroke selection determination module 108 is further configured to determine a target stroke selection based on the profit probability and the defensive profit value.
In a specific embodiment, the target stroke selection determining module 108 is further configured to calculate an expected profit margin under defense with respect to each stroke selection according to the profit probability and the defense profit margin corresponding to the stroke selection, wherein the expected profit margin is positively correlated with the profit probability and inversely correlated with the defense profit margin.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
In one embodiment, as shown in fig. 5, fig. 5 illustrates a terminal of a von neumann-based computer system that runs the above-described method of assisting billiard ball striking. The computer system can be terminal equipment such as a smart phone, a tablet computer, a palm computer and a notebook computer. Specifically, an external input interface 1001 (which may be a video data input interface), a processor 1002, a memory 1003, and an output interface 1004 (which may be a video output interface) connected through a system bus may be included. The external input interface 1001 may optionally include at least a network interface 10012. Memory 1003 can include external memory 10032 (e.g., a hard disk, optical or floppy disk, etc.) and internal memory 10034. The output interface 1004 may include at least a display 10042 or the like.
In the present embodiment, the method is executed based on a computer program, the program file of which is stored in the external memory 10032 of the computer system based on the von neumann system, loaded into the internal memory 10034 at the time of execution, and then compiled into machine code and then transferred to the processor 1002 to be executed, so that each logical module is formed in the computer system based on the von neumann system and the corresponding function is realized. In the execution process of the billiard ball hitting assisting method, all input parameters are received through the external input interface 1001, transferred to the memory 1003 for buffering, then input to the processor 1002 for processing, and the processed result data is buffered in the memory 1003 for subsequent processing or transferred to the output interface 1004 for outputting.
After the method, the device, the equipment and the computer readable medium for assisting the hitting of the billiards are adopted, in the process of assisting the hitting of the billiards, the hitting choices which can be carried out at present are determined by collecting the position information of the billiards on the billiard table surface and the hitting parameters such as the hitting direction, the hitting force, the hitting point position and the like which are considered, and the hitting profit value and the profit probability corresponding to each hitting choice are calculated; the expected profit value for each shot selection is then calculated and the best of the alternative shot selections is selected for recommendation based on the expected profit maximization principle. Moreover, the method for assisting billiard ball hitting can be applied to baggy billiards (snooker and the like) and bagless billiards (openwork billiards), the application range of billiard ball hitting assistance is expanded, the method, the device, the equipment and the computer readable medium for assisting billiard ball hitting can be adopted in the process of training any type of billiards by players, and user experience is improved.
Furthermore, in this embodiment, when considering which hitting selection and the corresponding hitting parameter to recommend, the profit condition and the profit probability under the hitting selection are comprehensively considered, and how to maximize the profit is fully considered, so that the accuracy of the hitting assistance is higher, the referential performance and operability of the provided hitting selection are higher, the practicability of the billiard hitting assistance is improved, and the user experience is improved.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.

Claims (8)

1. A method of assisting in the hitting of a billiard ball, comprising:
the method comprises the steps of obtaining table surface information of a billiard table and ball identification and position information of a plurality of balls on the current table surface;
determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting point position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters;
classifying the at least one batting selection according to the batting parameters and the batting income values, and determining at least one batting combination cluster, wherein batting choices in the same batting combination cluster have the same batting income value and batting parameters are continuous;
calculating an expected profit value corresponding to each batting combination cluster according to a preset profit calculation model, the batting profit values and the profit probabilities;
determining a target shot selection in the at least one shot combination cluster based on the expected profit value, the target shot selection being output.
2. A method of assisting in hitting a billiard ball as recited in claim 1, wherein the step of determining a hitting return value corresponding to each hitting option further comprises:
determining a ball walking route corresponding to the ball hitting selection according to the ball hitting parameters, the ball marks of the balls and the position information, wherein the ball walking route comprises one or more of collision edges, collision balls, goal marks and/or goal bag openings, and calculating the ball hitting profit value according to the ball walking route and a preset ball hitting score calculation model.
3. A method of assisting in hitting a billiard ball as recited in claim 1, wherein the step of determining at least one ball hitting selection corresponding to the current playing surface and ball hitting parameters corresponding to the ball hitting selection further comprises:
determining a plurality of batting combinations according to batting directions, batting force and/or preset value ranges of batting point positions;
judging whether the batting combination is matched with a preset batting rule or not; and if so, the hitting ball combination is used as the hitting ball selection corresponding to the current table top.
4. A method for assisting in hitting a billiard ball according to claim 1, wherein the step of calculating an expected profit value corresponding to the hitting combination cluster based on a preset profit computation model further includes:
determining the number of the ball hitting choices contained in the ball hitting combination cluster, and determining the expected profit value corresponding to the ball hitting combination cluster through the ball hitting profit value and the number of the ball hitting choices contained in the ball hitting combination cluster.
5. A method of assisting in hitting a billiards ball according to claim 4, wherein the step of determining an expected profit value corresponding to the cluster of hit ball combinations from the hit ball selection and the number of hit ball selections included in the cluster of hit ball combinations further includes:
according to the formula
Expected profit value-benefit value of hitting ball x number of hits selected
And calculating an expected profit value corresponding to the batting combination cluster.
6. An aid to a billiard shot, comprising:
the information acquisition module is used for acquiring the table top information of the billiard table and the ball identification and position information of a plurality of balls on the current table top;
the hitting selection determining module is used for determining at least one hitting selection corresponding to the current table top and hitting parameters corresponding to the hitting selection, determining a hitting profit value corresponding to each hitting selection, wherein the hitting parameters at least comprise one or more of hitting direction, hitting force and/or hitting position, and determining a profit probability corresponding to the hitting selection according to the hitting parameters;
the expected profit calculation module is used for classifying the at least one batting selection according to the batting parameters and the batting profit values and determining at least one batting combination cluster, wherein batting choices in the same batting combination cluster have the same batting profit values and batting parameters are continuous; calculating an expected profit value corresponding to each batting combination cluster according to a preset profit calculation model, the batting profit values and the profit probabilities;
and the target hitting selection determining module is used for determining target hitting selection in the at least one hitting combination cluster according to the expected profit value and outputting the target hitting selection.
7. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 5 when executing the computer program.
8. A computer readable storage medium comprising computer instructions which, when executed on a computer, cause the computer to perform the method of any of claims 1-5.
CN201910516326.2A 2019-06-14 2019-06-14 Auxiliary method, device, equipment and readable medium for billiard ball hitting Active CN110314368B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910516326.2A CN110314368B (en) 2019-06-14 2019-06-14 Auxiliary method, device, equipment and readable medium for billiard ball hitting

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910516326.2A CN110314368B (en) 2019-06-14 2019-06-14 Auxiliary method, device, equipment and readable medium for billiard ball hitting

Publications (2)

Publication Number Publication Date
CN110314368A CN110314368A (en) 2019-10-11
CN110314368B true CN110314368B (en) 2021-01-05

Family

ID=68119593

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910516326.2A Active CN110314368B (en) 2019-06-14 2019-06-14 Auxiliary method, device, equipment and readable medium for billiard ball hitting

Country Status (1)

Country Link
CN (1) CN110314368B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113312997A (en) * 2021-05-19 2021-08-27 深圳市普汇智联科技有限公司 Billiard fighting strategy analysis method, system, terminal and storage medium

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130114512A (en) * 2012-04-09 2013-10-18 (주) 하나텍시스템 Automatic billiard game system using image recognition device
CN104147777A (en) * 2014-07-30 2014-11-19 上海斐讯数据通信技术有限公司 Auxiliary method and auxiliary system applied to billiard practice
KR101757788B1 (en) * 2015-12-17 2017-07-14 연세대학교 산학협력단 Method and Apparatus of Scoring Pool
CN105879371A (en) * 2016-04-29 2016-08-24 乐视控股（北京）有限公司 Billiard movement track real-time projection method, device and equipment
CN106055518A (en) * 2016-06-07 2016-10-26 北京瑞盖科技股份有限公司 Ball hitting path recommending method and device
WO2018035821A1 (en) * 2016-08-25 2018-03-01 深圳英麦吉科技有限公司 Billiard ball striking assistance method, billiard ball striking assistance system, and portable electronic device
CN108694466B (en) * 2018-05-18 2021-12-07 梁栋 Method and device for recommending batting route
CN109011534B (en) * 2018-08-08 2020-08-04 Oppo广东移动通信有限公司 Billiard ball hitting assisting method and device, storage medium and electronic equipment

Also Published As

Publication number Publication date
CN110314368A (en) 2019-10-11

Similar Documents

Publication Publication Date Title
CN109069909B (en) Player matching device and player matching method
CN108694466B (en) Method and device for recommending batting route
US11263462B2 (en) Non-transitory computer readable recording medium, extraction method, and information processing apparatus
CN111177396B (en) Automatic analysis and visualization method for basketball event shooting event combined with knowledge graph
CN108905095B (en) Athlete competition state evaluation method and equipment
JP6677319B2 (en) Sports motion analysis support system, method and program
US20230330485A1 (en) Personalizing Prediction of Performance using Data and Body-Pose for Analysis of Sporting Performance
US20230377336A1 (en) Method of operating server providing sports video-based platform service
Weeratunga et al. Application of computer vision and vector space model for tactical movement classification in badminton
CN107247942A (en) A kind of tennis Video Events detection method for merging multi-modal feature
CN110314368B (en) Auxiliary method, device, equipment and readable medium for billiard ball hitting
CN111184994A (en) Batting training method, terminal equipment and storage medium
JP7113335B2 (en) Play analysis device and play analysis method
JP7113336B2 (en) Play analysis device and play analysis method
WO2016067553A1 (en) Play segment extraction method and play segment extraction device
US20230267737A1 (en) Method, apparatus and computer program for generating sports game highlight video based on excitement of gameplay
US20230267736A1 (en) Method, apparatus and computer program for generating sports game highlight video based on winning probability
US20190206278A1 (en) A system and method for sportsman training
JP7296546B2 (en) Play analysis device and play analysis method
US20230031622A1 (en) Live Possession Value Model
JP2020145500A (en) System, method, program, and apparatus for verifying predetermined motion by person
Yue et al. Ready-to-Serve Detection in Badminton Videos
CN114565641A (en) Image recognition method, device, equipment, system and storage medium
AU2021204421A1 (en) Data extraction and prediction generation method and system for sporting events
IL310162A (en) Device for assisting sports coach and method implementing the same

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20211228

Address after: 518000 233, zone B, political and business center, No. 2229, Meilong Avenue, Longhua new area, Shenzhen, Guangdong

Patentee after: Tian Yong

Address before: 518000 room 512, building a, weidonglong business building, Qinghua community, Longhua street, Longhua District, Shenzhen City, Guangdong Province

Patentee before: Liang Dong

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20240509

Address after: 518000 Xinlong Building 2310, Baishilong Community, Minzhi Street, Longhua District, Shenzhen City, Guangdong Province

Patentee after: Liang Dong

Country or region after: China

Address before: 518000 233, zone B, political and business center, No. 2229, Meilong Avenue, Longhua new area, Shenzhen, Guangdong

Patentee before: Tian Yong

Country or region before: China