KR20110088286A - System and method for providing recommendation number of lotto lottery using analysis win probability - Google Patents

Abstract

PURPOSE: A lottery number recommendation system and method thereof are provided to recommend the lottery number of high probability. CONSTITUTION: A user terminal(100) receives a service for a lottery number recommendation service. A recommendation number supplying server(300) analyzes lottery probability according to various standard based on winning probability number. The recommendation number supplying server calculates the wining probability number of a recommendation number. A database(400) stores data transmitted from the optimum number supplying server.

Description

Lotto number recommendation system and method through lottery winning probability analysis {SYSTEM AND METHOD FOR PROVIDING RECOMMENDATION NUMBER OF LOTTO LOTTERY USING ANALYSIS WIN PROBABILITY}

The present invention relates to a lottery number recommendation system and method through the analysis of the probability of winning the lottery, and more particularly through the analysis of the probability of winning the lottery to recommend a number with a high probability of winning based on the winning number from the first to the latest winning number. Lotto number recommendation system and method.

Lottery is a ticket followed by a lottery generated / sold for the purpose of raising a specific business fund in a public institution. The lottery is divided into a lottery and an instant lottery, depending on how to determine the lottery.

However, the lottery is limited to attract buyers' interest because the lottery and the number of lottery tickets for each lottery are pre-determined, and it is not sufficient to meet the expectations of the large-sized suspension. In addition, the so-called lotto lottery ticket is decided and used after the end of the sale.

It is a buyer-oriented participant lottery that checks the winning ranking through a television broadcast after purchasing a lottery by selecting a number directly from a lotto terminal which is connected to a central computer center and a dedicated communication network. However, it is different from the internet lottery, which buys a lottery ticket on a web page in that it is connected to a dedicated network.

It is a '6/45' method that randomly selects 6 numbers that one wants among numbers from 1 or 45 released in Korea. The winners of the 1st to 4th prizes, except for the 5th place (5,000 won), are not confirmed. The winning amount increases according to the sales amount, and the probability of winning the 1st place where all six numbers must be correct is 1,814,050.

In selecting the lottery number, the lotto lottery user selects the number by automatic selection using a program that automatically extracts the number randomly, combines his / her favorite numbers, or combines the numbers that are meaningful to himself or his family. Choose a number as a way to participate in the lottery. However, these methods have very low odds of winning and are not a systematic or efficient way to determine your lottery lottery number.

In addition, the conventional winning number providing system has a problem that the data of the winning number only accumulates in the database as the number of drawing increases, but this database is not sufficiently utilized for the prediction of the winning number.

The present invention is to overcome the above-mentioned conventional problems, the problem to be solved by the present invention is the probability of winning according to each criterion based on the item that can be statistically based on the winning number from one time to the latest winning number Provides a lottery number recommendation system and method through the lottery winning probability analysis to calculate the winning probability of randomly extracted expected numbers by using the data stored in the database and to calculate the winning probability of the winning numbers. It is to.

According to an aspect of the present invention, a user terminal for applying for and receiving service of the lotto number recommendation providing service; Based on the winning number for each round, we analyze the winning statistics according to various criteria to calculate the winning probability, and by using the winning probability data for each criterion, calculate the winning probability of the randomly extracted recommendation numbers and recommend them in the order of high probability of winning. A recommendation number providing server for selecting a number and providing the number to the user terminal; A database for storing data transmitted from the recommendation number providing server; And a lottery number recommendation system through a lottery winning probability analysis including a communication network connected for data transmission between the user terminal, the recommendation number providing server, and the database.

According to another aspect of the present invention, using the winning number statistical data processing unit storing the winning number until the latest round in the winning number database; Applying a plurality of statistical processing criteria to each winning number, extracting statistical processing data corresponding to each statistical processing criterion, and storing the extracted statistical processing data in a winning number database; Calculating the winning probability for each item of each criterion using the statistical processing data for the stored winning numbers, and storing the calculated winning probability in a winning statistics database; Randomly extracting a recommendation number to be provided to the user through the recommendation number extraction unit; Applying statistical processing criteria identical to the winning number to the extracted recommendation number, extracting statistical processing data corresponding to each statistical processing criterion, and storing the same in the recommendation number database; And calculating a winning probability of randomly extracted numbers based on the stored probability data of each criterion using the recommendation number winning probability calculator and storing the recommendation number and the calculated winning probability data in the recommendation number database. Lotto number recommendation method is provided by analyzing the probability of winning the lottery.

As in the present invention, the probability of winning according to each criterion is calculated based on an item that can be statistically calculated based on the winning number from one time to the latest winning number, and the probability of winning the randomly extracted expected numbers by using the same. By recommending the number with a high probability of winning by calculating the, it is possible to provide the user with a higher probability of winning.

In addition, users can be provided with a lottery winning recommendation number in a more convenient way.

1 is a schematic block diagram of a lottery number recommendation system through a lottery probability analysis according to an exemplary embodiment of the present invention.
FIG. 2 is a schematic diagram of a recommendation number providing server illustrated in FIG. 1.
3 is a schematic structural diagram of a database shown in FIG. 1.
4 shows the contents of data stored in a winning number database.
5 is a diagram showing the contents of data stored in the winning statistics database.
6 is a diagram showing the contents of data stored in the recommendation number database.
7 is a schematic flowchart of a lottery number recommendation method through lottery probability analysis according to an exemplary embodiment of the present invention.
8 is a flowchart illustrating a process of calculating winning statistics illustrated in FIG. 7 in detail.
9 is a flowchart illustrating a process of providing a recommendation number shown in FIG. 7 in detail.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the present invention.

1 is a schematic configuration diagram of a lottery number recommendation system through a lottery winning probability analysis according to an exemplary embodiment of the present invention, FIG. 2 is a schematic configuration diagram of a recommendation number providing server shown in FIG. 1, and FIG. It is a schematic block diagram of the database shown in FIG.

Referring to FIG. 1, the lottery number recommendation system by analyzing the probability of winning the lottery includes a user terminal 100, a communication network 200, a recommendation number providing server 300, and a database 400.

The user terminal 100 may be a mobile communication terminal, for example, a mobile phone, a PDA, or the like. The user terminal is connected to the recommendation number providing server 300 through the communication network 200, wherein the communication network 200 may be the Internet, LAN, wireless communication network. The user accesses the recommendation number providing server 300 through the user terminal 100 and requests the lotto number recommendation providing service. Enter your personal details and payment information when you apply for service.

When the user requests the lottery number recommendation providing service, the recommendation number providing server 300 analyzes the winning statistics based on each criterion based on items that can be statistically based on the winning number from the first to the latest winning number. The winning probability is calculated, and the calculated winning probability is stored in the database 400. The winning probability of randomly extracted expected numbers is calculated using the winning probability data for each criterion stored in the database 400, and the winning probability numbers are sequentially selected. The selected recommendation number is transmitted to the user terminal 100 through the communication network 200 and provided to the user. In this case, the recommendation number once provided to the user is not provided to the other user. If the recommendation number is the same as the winning number, the recommendation number is not provided to the user and another recommendation number is provided.

2 and 3, the recommendation number providing server 300 and the database 400 will be described in more detail.

The recommendation number providing server 300 includes a winning number statistical data processing unit 310, a winning probability calculating unit 320, a recommendation number extracting unit 330, a recommendation number winning probability calculating unit 340, a data transmitting and receiving unit 350 and The control unit 360 includes a database, and the database 400 includes a winning number database 410, a winning statistics database 420, a recommendation number database 430, and a user information database 440.

The winning number statistical data processing unit 310 records the winning number from the first round to the latest round in the winning number database 410, and applies various statistical processing criteria to each winning number, thereby corresponding to each statistical processing standard. To process The processed data is transmitted to the winning number database 410 through the data transmission / reception unit 350 and stored. There are seven statistical processing criteria applied in this embodiment, and these seven criteria and data processing methods for each criterion are as follows, and the data calculated by applying seven statistical processing criteria to each winning number is a winning number database. Save at 410.

(1) standard

The criterion is to calculate the sum of the winning numbers, and then the remainder of the first digit (ie, one digit). Theoretically, there may be 21 cases ranging from 20 to 230, but the middle number 120-160 occupies the highest ratio and the 20, 30, 210, 220, 230 rarely exist.

(2) high and low standard

According to the high and low criterion, the number of numbers of 23 or less is counted as the low number and the number of 24 or more is counted as the high number. If the number belonging to the reservoir is one, the number belonging to the master is five, so the six winning numbers belong to the master or the reservoir, and the sum of the master and the reservoir is six. In the present embodiment, the number for the reservoir is not counted, but only the number for the reservoir.

(3) toast

According to the odd even criterion, the odd number and the even number are counted as in the height. Since the sum of the odd and even numbers is 6, in the present exemplary embodiment, the numerical values for the odd numbers are input without inputting the numerical values for the even numbers.

(4) Criteria for duplicate previous number

The number of duplicates of the number won in the previous order is counted. The data range from 0 to 6, but the probability of getting six identical numbers will be the lowest.

(5) fractional basis

Find the distribution of the ending number of winning numbers. It has a distribution from 0 to 9. Statistical data based on the fractional criteria are not calculated by grouping each round, but are calculated based on all winning numbers drawn up to the last round.

(6) decimal

Returns the number of winning numbers with a minority, which ranges from 0 to 6. That is, the number of winning numbers belongs to 2, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43.

(7) multiple standard of 3

The number of winning numbers corresponding to a multiple of 3 of the winning numbers is counted, which has a distribution from 0 to 6.

Seven statistical processing criteria applied in the present embodiment is merely an example to facilitate the description of the present invention, but the present invention is not limited thereto. 4 is a diagram showing the contents of the data stored in the winning number database, and illustrates the results of applying the above seven criteria to the 371 times and 372 times.

The winning probability calculator 320 calculates a winning probability for each item of each criterion by using seven statistical processing data for each winning number stored in the winning number database 410, and calculates the calculated winning probability for the winning statistics. Stored in the database 420. At this time, the winning probability calculator 320 calculates by applying different weights to each criterion. In other words, a weighting factor is set large for a criterion having a high probability of winning, and a weighting factor is set small for a criterion which is not a good probability. (For example, the sum of criteria: 0.4, the basis of criteria: 0.2, the odd criteria: 0.2, the previous number of duplicate criteria: 0.2) FIG. 5 is a diagram showing the content of data stored in the winning statistics database.

The recommendation number extraction unit 330 randomly extracts a recommendation number to be provided to the user, and the recommendation number winning probability calculator 340 extracts the recommendation number based on the winning probability data for each criterion stored in the winning statistics database 420. In step 330, the probability of winning randomly extracted numbers is calculated. The recommendation number extracted through the recommendation number extracting unit 330 and the probability of winning the recommendation number calculated in the recommendation number winning probability calculator 340 are transmitted to the recommendation number database 430 through the data transmission / reception unit 350. Stored. 6 is a diagram showing the contents of data stored in the recommendation number database.

The controller 360 controls the operation of each of the components, and selects a recommendation number having a high probability of winning among the recommendation numbers stored in the recommendation number database 430 in order to provide the user with the request for the service. do.

FIG. 7 is a schematic flowchart of a lottery number recommendation method through lottery winning probability analysis according to an exemplary embodiment of the present invention, and FIG. 8 is a flowchart illustrating a process of calculating winning statistics shown in FIG. 7 in detail. 9 is a flowchart illustrating a process of providing a recommendation number shown in FIG. 7 in detail.

7 to 9, when a user requests a service for a recommendation number providing server through a user terminal, the recommendation number providing server selects a recommendation number and provides the same to the user through the process described below.

First, a process of storing a winning number from the first round to the latest round in the winning number database is performed using the winning number statistical data processor (S10).

Then, various statistical processing criteria are applied to each winning number, and a process of extracting statistical processing data corresponding to each statistical processing criteria is performed (S20). There are seven statistical processing criteria applied in this embodiment, and these seven criteria and the data processing method for each criterion are as described above.

The statistical data extracted through the data transceiver is transmitted to the winning number database and stored (S30).

Using the statistical processing data for each winning number stored in the winning number database, a process of calculating the winning probability for each item of the criterion and storing the calculated winning probability in the winning statistical database is performed (S40).

A process of randomly extracting a recommendation number to be provided to the user through the recommendation number extraction unit is performed (S50).

By applying the same statistical processing criteria as the winning number to the extracted recommendation number, the process of extracting the statistical processing data corresponding to each statistical processing criteria, and stores in the recommendation number database (S60).

Then, the number of randomly extracted numbers is calculated based on the probability of winning data for each criterion stored in the statistics database through the recommendation number probability calculation unit, and the recommendation number and the calculated probability of winning data are stored in the recommendation number database. To perform the process (S70).

The controller selects a recommendation number having a high probability of winning among the recommendation numbers stored in the recommendation number database in order, and provides the requesting service to the user (S80).

Referring to FIG. 8, a process of calculating a winning probability for each item of each criterion is first calculated, and a winning probability for each item based on the sum criteria is calculated (S41). In other words, the number of sums in the 20th generation is divided by the total number of lotteries, and then multiplied by 100 and multiplied by the weight. Such a calculation is calculated to the sum of the 30th to 230th generation to calculate the odds of winning each sum.

Calculate the odds of winning each item based on the criteria of adherence (S42). That is, the number of cases where the master is 0 is divided by the total number of lotteries, and the result is multiplied by 100 and the weight. Such calculation is calculated until the number of sticks is 1 to 6 to calculate the odds of winning each piece. Calculation of odds for each item based on odd number (S43), Calculation of odds for each item based on previous number overlapping criteria (S44), Calculation of odds for each item based on decimal criteria (S46) Item winning probability calculation (S47) is performed, and they are performed in the same manner as the above calculation method. On the other hand, in the calculation of the probability of winning by each item based on the number of points, the number of cases where the number of points is zero is divided by the total number of draws * 6, and the result is multiplied by 100 and the weight. This calculation is calculated until the end is 1 to 9 to calculate the winning probability for each end. In the present embodiment, but proceeded to determine the order from the process S41 to S47, this order is only an example for explanation and the order may be changed, the above process may be performed at the same time.

Referring to FIG. 9, the process of providing the recommendation number to the user will be described in detail. First, a process of selecting a recommendation number having a high probability of winning among the recommendation numbers stored in the recommendation number database is performed through the control unit (S81).

A process of comparing whether the selected recommendation number is the previous winning number is performed (S82). As a result of the determination, if it is the same as the previous winning number, the selected recommendation number is excluded. Next, a recommendation number having a high probability of winning is selected (S83). Then, the process returns to S82.

On the other hand, if the determination result is not the same as the previous winning number, and performs the process of providing the selected recommendation number to the user (S84). Then, the information of the user who provided the recommendation number is stored in the user information database (S85).

What has been described above is merely an exemplary embodiment of the lottery number recommendation system and method through the Lotto winning probability analysis according to the present invention, the present invention is not limited to the above-described embodiment, as claimed in the following claims Likewise, without departing from the gist of the present invention, any person having ordinary knowledge in the field of the present invention will have the technical spirit of the present invention to the extent that various modifications can be made.

100: User terminal
200: communication network
300: recommendation number providing server
400: database

Claims (8)

In the lotto number recommendation system by analyzing the probability of winning the lottery,
A user terminal for a user to apply for a lottery number recommendation providing service and to receive a service;
Based on the winning number for each round, we analyze the winning statistics according to various criteria to calculate the winning probability, and by using the winning probability data for each criterion, calculate the winning probability of the randomly extracted recommendation numbers and recommend them in the order of high probability of winning. A recommendation number providing server for selecting a number and providing the number to the user terminal;
A database for storing data transmitted from the recommendation number providing server; And
Lotto number recommendation system through the lottery winning probability analysis, characterized in that it comprises a communication network connected for data transmission between the user terminal, the recommendation number providing server and the database.
The method of claim 1,
The recommendation number providing server,
A winning number statistical data processing unit for recording the winning number for each round in the database and applying a plurality of statistical processing criteria to each winning number to process data corresponding to each statistical processing criteria;
A winning probability calculation unit that calculates a winning probability for each item of each criterion by using each statistical processing data for each winning number stored in the database;
A recommendation number extraction unit for randomly extracting a recommendation number to be provided to the user;
A recommendation number winning probability calculator for calculating a probability of winning the numbers randomly extracted from the recommendation number extracting unit based on the winning probability data for each criterion; And
Lotto number recommendation system through the lottery winning probability analysis, characterized in that it comprises a data transceiver for transmitting and receiving data between the database and the user terminal.
The method of claim 2,
Lotto by controlling the operation of each component, and further comprising a control unit for controlling to transmit the selection of the recommendation number in the order of the highest probability of the recommendation number to the user terminal. Number recommendation system.
The method of claim 2,
The lottery number recommendation system through the lottery winning probability analysis, characterized in that the calculation of the probability of calculating the winning by applying different weights for each criterion.
The method of claim 2,
The statistical processing criteria is a lotto number recommendation system through the probability analysis of the lotto, characterized in that any one or a combination of the sum criteria, high or low criteria, odd number criteria, previous number overlap criteria, fractional criteria, decimal standards and multiples of three criteria. .
In the lotto number recommendation method by analyzing the probability of winning the lottery,
Storing a winning number up to the last round in a winning number database using a winning number statistical data processor;
Applying a plurality of statistical processing criteria to each winning number, extracting statistical processing data corresponding to each statistical processing criterion, and storing the extracted statistical processing data in a winning number database;
Calculating the winning probability for each item of each criterion using the statistical processing data for the stored winning numbers, and storing the calculated winning probability in a winning statistics database;
Randomly extracting a recommendation number to be provided to the user through the recommendation number extraction unit;
Applying statistical processing criteria identical to the winning number to the extracted recommendation number, extracting statistical processing data corresponding to each statistical processing criterion, and storing the same in the recommendation number database; And
Calculating a probability of winning the numbers randomly extracted based on the stored probability data for each criterion using a recommendation number probability calculating unit, and storing the recommendation number and the calculated probability of winning data in the recommendation number database; Lotto number recommendation method by analyzing the probability of winning the lottery, characterized in that.
The method of claim 6,
Lotto number recommendation method through the lottery winning probability analysis, characterized in that it further comprises the step of selecting the recommendation number having a high probability of winning among the recommendation numbers stored in the recommendation number database through a control unit.
The method of claim 7, wherein
Providing the recommendation number to the user,
Selecting a recommendation number having a high probability of winning among the recommendation numbers stored in the recommendation number database;
Comparing whether the selected recommendation number is a previous winning number;
If the determination result is not the same as the previous winning number, the method includes providing the selected recommendation number to the user and storing the information of the user who provided the recommendation number in the user information database.
As a result of the decision, the same number as the previous winning number is selected, except for the selected recommendation number, and then selecting a recommendation number having a high probability of winning, and then returning to the comparing step. How to recommend lottery numbers.

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