CN104667511A - Competition ranking promoting system and method based on big data - Google Patents
Competition ranking promoting system and method based on big data Download PDFInfo
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Abstract
The invention provides a competition ranking promoting system based on big data, comprising a big data system and a client, wherein the client is arranged on a mobile terminal of a competitor, and comprises a user interface and a communication module; the competitor sets an initial level, records and uploads competition data through the user interface of the client; the communication module of the client uploads the competition data to the background big data system; the competition data at least comprise all competitor information and competition results; the big data system calculates an accumulative win rate of the competitor according to the received competition data, and checks whether the competitor can be promoted, demoted or leveled based on the win rate according to a certain algorithm. By employment of the technical scheme disclosed by the invention, mass data of competitors and various competition results can be recorded, the problems of regional defect and subjective determination in the competitor ranking are solved by means of analyzing large amounts of competition data.
Description
Technical field
The present invention relates to large data fields, particularly relate to a kind of match ranking based on large data and be promoted to system and method thereof.
Background technology
In many sports events, professional athlete by the professional race of the association and organization that takes exercises, can obtain corresponding integration according to games results, thus obtains appropriate level and the rank of Physical Culture and Sports Association.But for amateur, if want to know that oneself rank in this motion and corresponding ranking are very difficult, on the one hand, professional athlete and amateur larger in the competitive ability gap of same project, amateurish competitor usually cannot participate in professional race, cannot obtain corresponding achievement and integration, nature cannot obtain rank; On the other hand, the record that the games results of various amateur games are ununified, so also makes players to carry out unified periodicals grading and rank.In addition, even if there is the grading for amateurish competitor to compete, zonal match often, has the defects such as certain limitation, subjectivity (such as depending on the judgement of judge) or contingency (the unbalanced achievement that causes of player's level such as participating in grading is insincere); Meanwhile, the contestant of amateur games is uneven, and some projects even can be high and be mixed into professional player because of some reasons bonus of such as competing, and causes amateur games to lose fairness and athletics.
Amateur that is single or double exercise project compares concern for this rank, such as bead motion tennis, shuttlecock etc.But carry out Data Collection and data processing also not for this requirement developing in prior art, thus realize system that match ranking is promoted to and method thereof.Along with the arrival of large data age, meeting the demand becomes possibility, and therefore the present invention mainly solves following problem:
Record is carried out, to obtain a large amount of data bases to all games results (achievement is opposing teams or judge's accreditation) of certain sports events;
A large amount of data are processed and analyzed, to analyze in a certain object rank and rank sportsman, provides reliable objectively result;
Objective periodicals grading and rank stimulus movement person progress, thus promote moving whole development.
Summary of the invention
Based on the problems referred to above in background technology, central scope of the present invention is that the large data platform system of a large amount of sportsman and various result of the match thereof is recorded in design one, and the sportsman comprising amateurish competitor like this can know oneself rank in some projects and the overall rank of this rank according to the regulation game achievement of individual typing and computer to the analysis that these competition datas carry out in large data system.
The invention provides a kind of match ranking based on large data and be promoted to system, described system comprises large data system and client; Described client is installed on the mobile terminal of player, and it comprises user interface and communication module, and player is set initial level by the user interface of this client, recorded and upload competition data; Competition data is uploaded to the large data system on backstage by the communication module of this client, and competition data at least comprises opposing teams' information and result of the match; Large data system calculates the accumulative winning rate of this player according to the competition data received, and checks whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.
Preferably, described user interface provides the rule description carrying out periodicals grading, and player sets according to this rules selection initial level, and initial level is minimum rank, if or had the rank of accreditation just to set this rank.
Preferably, after user class setting, do not allow individual to modify adjustment, follow-up rank promotion and demotion are all that large data system carries out after backstage calculates automatically according to the achievement of match and default algorithm.
Preferably, described client has selection opponent, and the function of reservation match.
Preferably, the competition data uploading to large data system also comprises at least one item in following information: fixture, competition venue, represent the information that this result of the match is authentic and valid.
Preferably, the information that this result of the match of described expression is authentic and valid is opponent or third party's signing messages.
Preferably, this Operation system setting opposing teams rank is identical or close is just effective competition data, this function realizes one of in the following manner: mode one: this function realizes in client, namely client is arranged, make only identical in opposing teams' rank or difference certain rank time could record and upload competition data; Mode two: this function realizes in large data system, namely large data system verifies whether the competition data received satisfies condition " opposing teams' rank identical or only poor certain rank ", only has to meet this condition and be just designated as called game data.
Preferably, this system can verify whether the ratio of the number of times that some opponents of match occur in the code of this user or appearance is less than default threshold value, this function realizes one of in the following manner: mode one: this function can realize in client, namely client is arranged, when making the occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value, could record and upload competition data; Mode two: this function realizes in large data system, namely large data system verifies whether the competition data received satisfies condition " occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value ", only has to meet this condition and be just designated as called game data.
Preferably, this system can verify competition data real effectiveness, and this function realizes one of in the following manner: mode one: the competition data of client upload comprises the information representing that this result of the match is authentic and valid, and large data system is verified above-mentioned information; Mode two: only have when opposing teams all upload competition data, and when the competition data uploaded is identical, large data system is just designated as called game data; Mode three: large data system reception upload to the side competed competition data time, checking request is sent to match the opposing party or third party, when receiving match the opposing party or third-party the result, and when the result display is authentic and valid, be just designated as called game data.
Preferably, this system, when the competition sessions of a certain rank have reached some, carries out rank in this rank according to winning rate.
Preferably, it is as follows that algorithm is promoted in the ranking that large data system adopts:
1) the current match result of user and code are before gathered rear calculating winning rate: have recorded n field at current level before supposing and compete, m wins the victory field, the winning rate before of this user is m/n; If current race is won, then winning rate becomes (m+1)/(n+1); Otherwise current race is defeated, then winning rate becomes m/ (n+1); Record this user's winning rate;
2) if code number (n+1) <K of current level, then this user's code sample is insufficient, skips promotion and demotion process and returns; If current race record count (n+1) >=K, then carry out following judgement: if judge winning rate >=first threshold, this user rises one-level; If winning rate <=Second Threshold, one-level falls in this user; If Second Threshold < winning rate < first threshold, skips promotion and demotion process and returns; Wherein K is the arena number of times that can carry out promotion and demotion process set in advance.
Present invention also offers a kind of match ranking promotion method based on large data, comprise the steps:
Step 1: be promoted to client setting initial level by match ranking;
Step 2: be promoted to client upload competition data to large data system by match ranking, competition data at least comprises opposing teams' information and result of the match;
Step 3: large data system carries out data analysis to determine promotion and demotion, and namely the large data system in backstage calculates the accumulative winning rate of this player, and check whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.
Preferably, client is promoted in described match ranking provides the rule description carrying out periodicals grading, and player sets according to this rules selection initial level, and initial level is minimum rank, if or had the rank of accreditation just to set this rank.
Preferably, in the method, after user class setting, do not allow individual to modify adjustment, follow-up rank promotion and demotion are all that large data system carries out after backstage calculates automatically according to the achievement of match and default algorithm.
Preferably, also comprise between step 1 and step 2 and select opponent by described client, and the step of reservation match.
Preferably, the competition data uploading to large data system also comprises at least one item in following information: fixture, competition venue, represent the information that this result of the match is authentic and valid.
Preferably, the information that this result of the match of described expression is authentic and valid is opponent or third party's signing messages.
Preferably, also comprise in step 2: judge the whether identical or only poor certain rank of the rank of opposing teams, if so, then record and upload competition data; If not, then the operation of recording and uploading is not carried out.Or, also comprise in step 3: large data system verifies whether the competition data received satisfies condition " opposing teams' rank identical or only poor certain rank ", only have and meet this condition and be just designated as called game data, large data system only to called game data analysis to determine promotion and demotion.
Preferably, also comprise in step 2: judge the occurrence number of opponent in the code of the current rank of user or occur whether ratio is less than or equal to predetermined threshold value, if so, then record and upload competition data; If not, then the operation of recording and uploading is not carried out.Or, also comprise in step 3: large data system verifies whether the competition data received satisfies condition " occurrence number of opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value ", only have and meet this condition and be just designated as called game data, large data system only to called game data analysis to determine promotion and demotion.
Preferably, also comprise client in step 2 and obtain and/or generate the information representing that this result of the match is authentic and valid, the competition data uploaded comprises the information representing that this result of the match is authentic and valid; Also comprise large data system in step 3 to verify above-mentioned information; Or, in step 3, only have when opposing teams all upload competition data, and when the competition data uploaded is identical, large data system is just designated as called game data, large data system only to called game data analysis to determine promotion and demotion; Or, in step 3, large data system reception upload to match one side competition data time, checking request is sent to match the opposing party or third party, when receiving match the opposing party or third-party the result, and the result display authentic and valid time, be just designated as called game data, large data system only to called game data analysis to determine promotion and demotion.
Preferably, the method also comprises step 4: when the competition sessions of a certain rank have reached some, carry out rank in this rank according to winning rate.
Preferably, it is as follows that algorithm is promoted in the ranking adopted in step 3:
1) the current match result of user and code are before gathered rear calculating winning rate: have recorded n field at current level before supposing and compete, m wins the victory field, the winning rate before of this user is m/n; If current race is won, then winning rate becomes (m+1)/(n+1); Otherwise current race is defeated, then winning rate becomes m/ (n+1); Record this user's winning rate;
2) if code number (n+1) <K of current level, then this user's code sample is insufficient, skips promotion and demotion process and returns; If current race record count (n+1) >=K, then carry out following judgement: if judge winning rate >=first threshold, this user rises one-level; If winning rate <=Second Threshold, one-level falls in this user; If Second Threshold < winning rate < first threshold, skips promotion and demotion process and returns; Wherein K is the arena number of times that can carry out promotion and demotion process set in advance.
It should be noted that, although original intention of the present invention is developed for amateur games, can be used for the data processing of professional race, periodicals grading and rank equally, and same effect can be obtained.
The present invention has the following advantages compared to existing technology:
1. can record the mass data of sportsman and various result of the match thereof, and large data are processed and analyzed;
2. by the comparative analysis of a large amount of result of the match data, eliminate the regional defect of player's ranking and subjectivity assert on problem.Data volume is larger, and the contingency of periodicals grading is less.Thus for the amateur of sports events, objective periodicals grading and rank can be obtained; For professional player, periodicals grading and the rank of acquisition are more objective;
3. for amateur games, the player having had periodicals grading can limit same rank participates in match, increases the severity of match, promotes the meaning of sports.
Accompanying drawing explanation
Fig. 1 is the network architecture schematic diagram that system is promoted in the match ranking based on large data of the present invention;
Fig. 2 is the structural representation that system is promoted in the match ranking based on large data of the present invention;
Fig. 3 is that method flow diagram is promoted in the match ranking based on large data of the present invention;
Fig. 4 is the job step flow chart that system is promoted in the match ranking based on large data of the present invention.
Detailed description of the invention
Hereafter describe the preferred embodiments of the present invention with detailed reference to accompanying drawing, to the present invention, how application technology means solve technical problem whereby, and the implementation procedure reaching technique effect can fully understand and implement according to this.In order to complete understanding the present invention, refer to many details in the following detailed description, but it should be appreciated by those skilled in the art that the present invention can realize without the need to these details.
As depicted in figs. 1 and 2, the promotion of the match ranking based on the large data system of the embodiment of the present invention comprises large data system and client.Described client is installed on the mobile terminal of player, and it comprises user interface and communication module, and player sets initial level by the user interface of this client, selects opponent and/or reservation match, records and upload competition data.Described user interface provides the rule description to carrying out the identification of this levels of motion, and player can set according to this rules selection initial level, and initial level is minimum rank, if or had the rank of accreditation just to set this rank.After grade setting, do not allow individual to modify adjustment in principle, to be all the large data system in backstage carry out after backstage calculates automatically according to the achievement of match and the algorithm preset in follow-up rank promotion and demotion.Player participate in various oneself reservation match (needing mutual concession), government department or public organization tissue sparetime or professional race, the player both sides of these matches need the rank identical or close (such as set maximum poor one-level or maximum poor two-stage in advance, the nearlyer result of the match of rank is more reliable) in this system platform.Competition data is uploaded to the large data system on backstage by the communication module of this client, competition data at least comprises opposing teams' information (name, rank etc.), result of the match, also can comprise the information such as fixture, place, also can comprise the information (such as opponent or judge's signing messages etc.) representing that this result of the match is authentic and valid in addition.
Large data system calculates the accumulative winning rate of this player, and checks whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.Simultaneously according to certain rule (such as after 5 codes of this rank), start to carry out rank in this rank according to winning rate.Large data system adopts distributed structure/architecture, and the technology being applicable to large data comprises MPP (MPP) database, data mining electrical network, distributed file system, distributed data base, cloud computing platform, internet and extendible storage system.It is more that players participate in, and it is more that games results are uploaded, and data volume is larger, and periodicals grading and the rank of each player are more objective.As shown in Figure 3, algorithmic descriptions is as follows:
1. the current match result of user and code are before gathered rear calculating winning rate.Have recorded the match of n field at current level before supposing, m wins the victory field, and before this user, winning rate is m/n;
2. if current race is won, then winning rate becomes (m+1)/(n+1);
Otherwise current race is defeated, then winning rate becomes m/ (n+1);
Record this user's winning rate;
If 3.a) code number (n+1) <K of current level, then this user's code sample is insufficient, skips promotion and demotion process and returns;
If b) current race record count (n+1) >=K, just do following judgement: judge winning rate >=first threshold (such as 70%), this user rises one-level (until highest); Winning rate <=Second Threshold (such as 30%), one-level (until lowermost level) falls in this user; Second Threshold < winning rate < first threshold, skips promotion and demotion process and returns;
Wherein K is the arena number of times that can carry out promotion and demotion process set in advance, such as, set K=5 or K=10 etc.
4., for improving reliability and the diversity of match sample, system also needs after realizing to do a little adjustment and restriction according to the data of actual conditions to input, comprising:
A) before match, both sides' rank can only differ from certain rank (such as poor one-level), to improve reliability.This function can realize in client, namely arranges client, make only identical in opposing teams' rank or difference certain rank time could record and upload competition data; This function also can realize in the large data system in backstage, and namely the large data system in backstage verifies whether the competition data received satisfies condition " opposing teams' rank identical or only poor certain rank ", only has to meet this condition and be just designated as called game data.
B) the some opponents competed can only occur that in the code of this user certain number of times is to improve diversity.Suppose to compete for n time, the match that some opponents can only participate at most 10% can be limited, namely in 50 codes, record at most 5 matches of same opponent.
This function can realize in client, namely arranges client, when making the occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value, could record and upload competition data; This function also can realize in the large data system in backstage, namely the large data system in backstage verifies whether the competition data received satisfies condition " occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value ", only has to meet this condition and be just designated as called game data.
C) for ensureing competition data real effectiveness, take one of following manner: the competition data that 1) mobile terminal APP uploads comprises the information (such as opponent or judge's signing messages etc.) representing that this result of the match is authentic and valid, and the large data system in backstage is verified above-mentioned information; 2) only have when opposing teams all upload competition data, and when the competition data uploaded is identical, the large data system in backstage is just designated as called game data; 3) the large data system reception in backstage to match a side upload competition data time, checking request is sent to match the opposing party or third party's (such as judging), when receiving match the opposing party or third-party the result, and the result display authentic and valid time, be just designated as called game data.
Referring to Fig. 4, illustrate how technical scheme of the present invention works for shuttlecock:
A) each player downloads corresponding APP
By means of easily available mobile terminal, APP is promoted in the match ranking of downloading for corresponding operating system development.
B) player sets initial level
In this APP, provide the rule description of identification shuttlecock being carried out to rank, player sets according to this rules selection initial level, if or had the rank of accreditation just to set this rank.
C) result of the match is uploaded
Player participates in the match (needing mutual concession) of various sparetime or professional race or oneself reservation, the player both sides of these matches need the rank identical or close (maximum poor one-level, the nearlyer result of the match of rank is more reliable) on this APP platform.Competition data (at least comprising opposing teams' information, result of the match) is uploaded to large data system by APP by post-games.
D) background analysis is to determine promotion and demotion
The large data system in backstage calculates the accumulative winning rate of this player, and checks whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.Simultaneously according to certain rule such as after 5 codes of this rank, start to carry out rank in this rank according to winning rate.Preferably, the large data system in backstage is verified the competition data received, to ensure its objectivity and/or real effectiveness.Such as, for ensureing objectivity, whether the rank of the large data system in backstage checking opposing teams is identical or close; Also can verify whether the ratio of the number of times that some opponents of match occur in the code of this user or appearance is less than default threshold value.For ensureing real effectiveness, the checking of one of mode described above can be taked.
The foregoing is only preferred embodiment of the present invention, be not limited to the present invention, all any amendments, equivalent replacement and improvement etc. made within the present invention's spirit and principle, are all contained within protection scope of the present invention.
Claims (12)
1. a system is promoted in the match ranking based on large data, comprises large data system and client; Described client is installed on the mobile terminal of player, and it comprises user interface and communication module, and player is set initial level by the user interface of this client, recorded and upload competition data; Competition data is uploaded to the large data system on backstage by the communication module of this client, and competition data at least comprises opposing teams' information and result of the match; Large data system calculates the accumulative winning rate of this player according to the competition data received, and checks whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.
2. system according to claim 1, it is characterized in that, described user interface provides the rule description carrying out periodicals grading, and player sets according to this rules selection initial level, initial level is minimum rank, if or had the rank of accreditation just to set this rank.
3. system according to claim 1 and 2, it is characterized in that, after user class setting, do not allow individual to modify adjustment, follow-up rank promotion and demotion are all that large data system carries out after backstage calculates automatically according to the achievement of match and default algorithm.
4. the system according to any one of claim 1-3, is characterized in that, described client has selection opponent, and the function of reservation match.
5. the system according to any one of claim 1-4, is characterized in that, the competition data uploading to large data system also comprises at least one item in following information: fixture, competition venue, represent the information that this result of the match is authentic and valid.
6. system according to claim 5, is characterized in that, the authentic and valid information of this result of the match of described expression is opponent or third party's signing messages.
7. the system according to any one of claim 1-6, is characterized in that, this Operation system setting opposing teams rank is identical or close is just effective competition data, and this function realizes one of in the following manner:
Mode one: this function realizes in client, namely arranges client, make only identical in opposing teams' rank or difference certain rank time could record and upload competition data;
Mode two: this function realizes in large data system, namely large data system verifies whether the competition data received satisfies condition " opposing teams' rank identical or only poor certain rank ", only has to meet this condition and be just designated as called game data.
8. the system according to any one of claim 1-7, it is characterized in that, this system can verify whether the ratio of the number of times that some opponents of match occur in the code of this user or appearance is less than default threshold value, and this function realizes one of in the following manner:
Mode one: this function can realize in client, namely arranges client, when making the occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value, could record and upload competition data;
Mode two: this function realizes in large data system, namely large data system verifies whether the competition data received satisfies condition " occurrence number of a certain opponent in the code of the current rank of user or occur that ratio is less than or equal to predetermined threshold value ", only has to meet this condition and be just designated as called game data.
9. the system according to any one of claim 1-8, is characterized in that, this system can verify competition data real effectiveness, and this function realizes one of in the following manner:
Mode one: the competition data of client upload comprises the information representing that this result of the match is authentic and valid, and large data system is verified above-mentioned information;
Mode two: only have when opposing teams all upload competition data, and when the competition data uploaded is identical, large data system is just designated as called game data;
Mode three: large data system reception upload to the side competed competition data time, checking request is sent to match the opposing party or third party, when receiving match the opposing party or third-party the result, and when the result display is authentic and valid, be just designated as called game data.
10. the system according to any one of claim 1-9, is characterized in that, this system, when the competition sessions of a certain rank have reached some, carries out rank in this rank according to winning rate.
11. systems according to any one of claim 1-10, is characterized in that, it is as follows that algorithm is promoted in the ranking that large data system adopts:
1) the current match result of user and code are before gathered rear calculating winning rate: have recorded n field at current level before supposing and compete, m wins the victory field, the winning rate before of this user is m/n; If current race is won, then winning rate becomes (m+1)/(n+1); Otherwise current race is defeated, then winning rate becomes m/ (n+1); Record this user's winning rate;
2) if code number (n+1) <K of current level, then this user's code sample is insufficient, skips promotion and demotion process and returns; If current race record count (n+1) >=K, then carry out following judgement: if judge winning rate >=first threshold, this user rises one-level; If winning rate <=Second Threshold, one-level falls in this user; If Second Threshold < winning rate < first threshold, skips promotion and demotion process and returns; Wherein K is the arena number of times that can carry out promotion and demotion process set in advance.
12. 1 kinds, based on the match ranking promotion method of large data, comprise the steps:
Step 1: be promoted to client setting initial level by match ranking;
Step 2: be promoted to client upload competition data to large data system by match ranking, competition data at least comprises opposing teams' information and result of the match;
Step 3: large data system carries out data analysis to determine promotion and demotion, and namely the large data system in backstage calculates the accumulative winning rate of this player, and check whether this winning rate can allow this player's promotion and demotion or sane level according to certain algorithm.
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| CN105931421A (en) * | 2015-08-13 | 2016-09-07 | 石峰 | Cloud big data infant anti-losing system |
| CN106390460A (en) * | 2016-09-30 | 2017-02-15 | 上海冰穹网络科技有限公司 | Amateur electronic sports player and team information obtaining method and system and server |
| CN106528841A (en) * | 2016-11-24 | 2017-03-22 | 简极科技有限公司 | Intelligent football match result recording and analyzing system and method |
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| CN109499072A (en) * | 2018-11-07 | 2019-03-22 | 合肥禾斗技汇科技有限公司 | User's game ratings division methods |
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| CN117557192A (en) * | 2023-11-10 | 2024-02-13 | 江苏财经职业技术学院 | Sport equipment monitoring management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105931421A (en) * | 2015-08-13 | 2016-09-07 | 石峰 | Cloud big data infant anti-losing system |
| CN106390460A (en) * | 2016-09-30 | 2017-02-15 | 上海冰穹网络科技有限公司 | Amateur electronic sports player and team information obtaining method and system and server |
| CN106528841A (en) * | 2016-11-24 | 2017-03-22 | 简极科技有限公司 | Intelligent football match result recording and analyzing system and method |
| CN106528841B (en) * | 2016-11-24 | 2017-11-03 | 简极科技有限公司 | Intelligent football race track record analysis system and method |
| CN106984029A (en) * | 2017-05-18 | 2017-07-28 | 陕西诺维北斗信息科技股份有限公司 | The monitoring in real time of location-based car race and match judgment system |
| CN109499072A (en) * | 2018-11-07 | 2019-03-22 | 合肥禾斗技汇科技有限公司 | User's game ratings division methods |
| CN110597819A (en) * | 2019-09-19 | 2019-12-20 | 腾讯科技（深圳）有限公司 | Level upgrading method and related device |
| CN110597819B (en) * | 2019-09-19 | 2023-11-03 | 腾讯科技（深圳）有限公司 | Method for level-raising and related device |
| CN111035936A (en) * | 2019-12-17 | 2020-04-21 | 腾讯科技（深圳）有限公司 | Account set adjusting method and device, storage medium and electronic device |
| CN117557192A (en) * | 2023-11-10 | 2024-02-13 | 江苏财经职业技术学院 | Sport equipment monitoring management system and method |
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Application publication date: 20150603 |