CN115187278A

CN115187278A - Prize drawing method and apparatus

Info

Publication number: CN115187278A
Application number: CN202210609995.6A
Authority: CN
Inventors: 刘子钰; 蔡雅; 王瑞雪; 钱刚
Original assignee: Zhiji Automobile Technology Co Ltd
Current assignee: Zhiji Automobile Technology Co Ltd
Priority date: 2022-05-31
Filing date: 2022-05-31
Publication date: 2022-10-14

Abstract

The invention provides a method and equipment for drawing prizes, wherein double-layer logic is adopted to determine the probability of drawing specific prizes, after the probability of each prize box is determined by a multivariate linear programming model, the probability of drawing different prizes in the same prize box is adjusted through a Roll value, and the design of the double-layer logic not only provides a way for enriching the types of prizes won at any time according to business requirements, but also can adjust the actual drawing probability of drawing different prizes from one prize box in time. The probability setting of the prize box based on the multivariate linear programming model meets the experience of most users, the experience of non-headman users is further improved by adopting a bottoming mechanism of a water level method, the difference between the actual lottery probability and the theoretical value of the users is monitored through a service data monitoring and early warning system, the prize pool setting is maintained, and the full-scale user experience is iteratively optimized.

Description

Prize drawing method and device

Technical Field

The invention relates to a prize drawing method and device.

Background

With the development of the internet, a user point system has become an important means for product operators to improve user loyalty. The experience closed loop of the user point system consists of acquisition and consumption of points. In addition to equity redemption, point lotteries are becoming an increasingly popular form of point consumption for younger consumers due to their uncertain enjoyment experience.

At present, common point lottery activities often have prize setting problems that the types of prizes are few, the acquisition difficulty of rare prizes is very high, the prize value of adjacent levels drops in a cliff type mode and the like, which have the influence on user experience, most point lottery activities have no bottom-preserving mechanism similar to games, and non-headedness experience that a small amount of users always have black faces inevitably occurs.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides a prize drawing method and device.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention provides a prize drawing method, which comprises the following steps:

step S1, determining constraint conditions of each prize box;

s2, obtaining a multivariate linear programming model based on the constraint conditions of each prize box;

s3, adjusting the lottery probability of prizes in each prize box;

s4, setting the probability that each lottery box cannot be drawn for n times continuously to be smaller than a preset threshold value;

step S5, obtaining the lottery drawing probability of each prize box based on the multivariate linear programming model and the probability that each prize box can not be drawn for n times continuously is smaller than a preset threshold value, obtaining the preset drawing probability of the medium prize of each prize box based on the lottery drawing probability of each prize box and the lottery drawing probability of the prize in the corresponding prize box, and carrying out a simulation test to obtain the actual drawing probability of each prize box based on the preset drawing probability of the medium prize of each prize box;

if the actual drawing probability of each prize box meets the randomness distribution requirement under the preset probability, the setting of the multivariate linear programming model, the lottery probability of prizes in each prize box and the bottom-preserving water level value is successful;

and if the actual drawing probability of each prize box does not meet the randomness distribution requirement under the preset probability, the step S2 is executed again.

Further, in the above method, the step S1 of determining the constraint condition of each prize box based on the value and the number of each prize in each prize box includes:

a number limit constraint is determined for a limited number of prizes in each prize box.

Further, in the above method, in step S1, determining the constraint condition of each prize box includes:

the limit constraint that the number of credits accrued for drawing prizes for each prize box is determined to be less than the number of credits consumed per time.

Further, in the method, in step S1, determining constraints of each prize box includes:

a constraint is determined that the value of each prize box is inversely proportional to the probability of the draw.

a constraint is determined that the value of the higher value bin multiplied by the probability of drawing the bin is higher.

the constraint that the user always draw any prize box with a value other than 0 is determined.

Further, in the above method, in step S2, obtaining a multivariate linear programming model based on the constraint conditions of each prize box includes:

constructing an objective function embodying cost/benefit minimization;

and obtaining a multivariate linear programming model based on the objective function with minimized cost/benefit and the constraint conditions of each prize box.

Further, in the above method, in step S6, performing a simulation test based on the multivariate linear programming model and the bottom-preserving water level value to obtain a lottery probability of each prize box, includes:

and carrying out a simulation test by using a Monte Carlo simulation test based on the multivariate linear programming model and the base water level value to obtain the lottery drawing probability of each prize box.

According to another aspect of the present invention, there is also provided a computer readable medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to implement the method of any one of the above.

According to another aspect of the present invention, there is also provided an apparatus for information processing at a network device, the apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform any of the methods described above.

In summary, the invention adopts double-layer logic to determine the probability of drawing out a specific prize, and after the probability of each prize box is determined by the multivariate linear programming model, the probability of drawing out different prizes in the same prize box is adjusted through the Roll value, and the design of the double-layer logic not only provides a way for enriching the types of the prizes won at any time according to the business requirements, but also can adjust the actual drawing probability of drawing out different prizes from one prize box in time.

The invention solves the problem of poor user experience of the existing point lottery activity by combining a multivariate linear programming model and a double-layer prize box logic and water level law bottom-preserving mechanism which can adjust the winning probability at any time, and simultaneously realizes the minimization of cost/benefit.

The probability setting of the prize box based on the multivariate linear programming model meets the experience of most users, the experience of non-headman users is further improved by adopting a bottoming mechanism of a water level method, the difference between the actual lottery probability and the theoretical value of the users is monitored through a service data monitoring and early warning system, the prize pool setting is maintained, and the full-scale user experience is iteratively optimized.

Drawings

FIG. 1 is a flow chart of a prize draw method according to an embodiment of the invention;

FIG. 2 is a flow chart of the Monte Carlo simulation randomness test according to an embodiment of the present invention;

fig. 3 is a structural diagram of a blind box card extracting device according to an embodiment of the invention.

Detailed Description

The present invention is described in further detail below with reference to the attached drawing figures.

In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.

As shown in fig. 1, the present invention relates to a prize drawing method including: step S1 to step S5.

Step S1, constraint conditions of each prize box are determined.

here, the linear programming model: one special form of mathematical programming model, namely, a mathematical programming model in which the objective function and the constraints are linear functions, linear equations, or linear inequalities of the variables to be solved. It can be used to solve the problem of extreme value in various fields. The typical problem it describes is the problem of how to allocate limited resources among activities in an optimal way;

a multivariate linear programming model: refers to a linear programming model with decision variables greater than 1.

S3, adjusting the lottery probability (Roll value) of prizes in each prize box;

the prize box to which the prize belongs is determined according to the value of the prize, and the actual drawing probability of each prize in the prize box is adjusted by adjusting the Roll value of the prize box. In the lottery process, the Roll value can be timely adjusted according to the remaining amount of each prize in the prize box, so that the condition that one or more prizes in the prize box are in storage urgency in advance is avoided. The business requirements can also be fulfilled by adjusting the Roll value so that certain defined prizes occur only within a certain time. Taking box A as an example, if 5 prizes can be awarded in box A, their Roll values are r ₁ ，r ₂ ，r ₃ ，r ₄ ，r ₅ Then, the probabilities of drawing 5 prizes after drawing prize box a are:

in the whole card drawing experience, the probabilities of actually drawing 5 prizes are respectively as follows:

。

here, since the probability of drawing a card is based on an expected outcome of a large number of experiments, there are no few "cacique" players who are missing during the actual drawing process, and who always have a shoulder-lift with the jackpot, the game experience is very poor. In order to avoid the occurrence of the situations and guarantee the experience of the user, a bottom-protecting mechanism is arranged in a plurality of games, namely, the game is playedThe prizes with higher rarity can be certainly drawn by the number of times. The invention protects the bottom of the prize box instead of specific prizes when the bottom protection setting is carried out, so that a user can obtain curiosity of different prizes even if the user reaches the bottom protection water level. The water level setting rule related by the invention is as follows: assuming that the probability of drawing a prize box A at a time is p (A), the probability of not drawing A n consecutive times is (1-p (A)) ⁿ Statistically, it is common practice to make the probability of occurrence less than or equal to 5% (denoted as p) ₀ ) Called a small probability event, therefore, the water level mechanism is designed to avoid the occurrence of the small probability event, so that the probability of not drawing A for n consecutive times cannot be higher than 5 percent (1-p (A)) ⁿ ＜5%；

The method is obtained by simple simplification:

；

it can be seen that the specific value of the bottom-preserving water level value is defined by a small probability standard p ₀ And the drawing probability of box a.

The probability of the specific prize being drawn is determined by adopting double-layer logic, after the probability of each prize box is determined by the multivariate linear programming model, the probability of different prizes being drawn in the same prize box is adjusted through the Roll value, and the design of the double-layer logic not only provides a way for enriching the types of the prizes won at any time according to business requirements, but also can adjust the actual drawing probability of different prizes drawn by one prize box in time.

In an embodiment of the prize extraction method of the present invention, the step S1 of determining the constraint condition of each prize box based on the value and the number of each prize in each prize box includes:

in step S11, the number limiting constraint condition of the limited prizes in each prize box is determined.

Here, a limit condition for limiting the number of limited prizes, such as the prize S drawn out of the prize box A, may be added to the limit condition ₁ Dispensing quantity limit R ₁ The number of extractions at a time is Q ₁ Then, there are:

P(A)*Q ₁ *T≤R ₁ ；

wherein T is the lottery drawing times and is related to the total amount X of the points used for drawing the card by the user and the integral amount Y of the single consumption,

. Total amount of points available to the user for drawing out the card

N is the number of users, x _i The probability distribution of the number of credits drawn by the user is actually a discrete probability distribution for the ith user, and may be based on history before the start of the activityThe activity data is fitted to the distribution, a continuous probability distribution function is used for simulation prediction,

normally distributed probability distribution function is often used, the probability density function is

. Considering that when the integral number is not integral multiple of the single consumption integral, certain integral loss exists, further adopting the expected value mu of the integral number distribution function as the integral number of the card drawable per capita, and the number of times of the card drawable per capita is the same

When certain redundancy is considered from a business perspective,

。

in an embodiment of the prize drawing method of the present invention, the step S1 of determining the constraint conditions of each prize box includes:

step S12, determining the limit constraint condition that the obtained returned number of the credits for the drawing of the prizes of each prize box is less than the number of the credits consumed at one time.

Here, the number of credits returned by adding a draw to the constraint is less than the limit of the number of credits consumed in a single pass to ensure that the purpose of consuming credits, i.e. Q, is fulfilled _e ＜Y，Q _e The expected value of the single draw back integration,

，P _j for drawing out the quantity Q in the activity _j The probability of integration of (a).

and step S12, determining a constraint condition that the value of each prize box is inversely proportional to the lottery probability.

Here, a condition that can reflect the scarcity effect is added to the constraint condition to increase the user engagement enthusiasm. If there are four prize boxes A, B, C, D with scarcity levels of a > B > C > D, then they should satisfy the following constraints:

four prize box values: v (A) > V (B) > V (C) > V (D);

the drawing probabilities of four boxes are P (A) < P (B) < P (C) < P (D).

The value of any prize that may be drawn from the prize box may be obtained. The prize may be physical or virtual in the user bonus lottery. The value of the physical prize is easy to quantify, and the quantification of the value of the virtual prize needs to determine an anchor, and the value of the virtual prize is determined by the relative value ratio. Preferably, the value of the virtual prize is determined by using the score as a value anchor and then determining the value of the other virtual prizes in a relative value ratio determined by trial and error.

If the number of the drawn prizes is the minimum unit; the total value is the prize unit price.

If the number of prizes to be drawn is not the minimum unit, the total value is the product of the minimum unit price and the number to be drawn.

in step S13, a constraint condition is determined in which the product of the value of a higher-value box and the drawing probability of the box is higher.

Here, a small and large lever effect is added to the constraints, which can enhance the user's excitement. In order to meet the consumption preference of the modern young consumer group for pursuing stimulation, the following components are added into the constraint condition:

V(A)*P(A)> V(B)*P(B)> V(C)*P(C)> V(D)*P(D)。

although the prize box A has high scarcity and is difficult to draw, the prize box A is endowed with corresponding high value, so that the expected value of the drawn prize box A is the highest, and users have enough power to be large and small, thereby improving the participation rate of lottery activities and perfecting the experience closed loop of point acquisition-consumption.

and step S14, determining the constraint condition that the user can always draw any one of the prize boxes with the value being not 0.

Here, a constraint condition is added to the probability limit of 100% winning. According to the actual research on the existing point lottery activities, a large proportion of 'thank you participate' in lottery results of a large number of activities can appear, although the highest reward attraction is extremely large, the users can get happy most of the time, but return to the original situation, and the user experience is not good enough. In order to satisfy the constraint condition of reducing the disappointment rate of the user, the constraint condition of 100% winning is added:

0<P(A)<1，0<P(B)<1，0<P(C)<1，0<P(D)<1；

P(A)+P(B)+P(C)+P(D)=1；

V(A)>0，V(B)>0，V(C)>0，V(D)>0；

that is, the user can always draw any prize box with a value other than 0.

In an embodiment of the prize extraction method of the present invention, in step S2, a multivariate linear programming model is obtained based on constraint conditions of each prize box, and the method includes:

step S21, constructing an objective function for embodying cost/benefit minimization;

and S22, obtaining a multivariate linear programming model based on the objective function of cost/benefit minimization and the constraint conditions of each prize box.

Here, for the enterprise operating the lottery event, the control cost is a necessary condition for the event to continue to be performed, but at the same time, the economic benefit brought by the event needs to be considered, so a cost-benefit function is constructed based on the business rules, and the objective function of minimizing the cost/benefit can be expressed as:

min(f ₁ (P(A),P(B) ,P(C) ,P(D))/ f ₂ (P(A),P(B) ,P(C) ,P(D)))；

wherein f is ₁ As a cost function, f ₂ Is a benefit function.

Based on the aforementioned objective function and constraint conditions, a complete multivariate linear programming model is constructed, i.e.,

；

wherein P, B, beq, lb and ub are column vectors, ap and Aeq are matrixes, decision vectors P are (P (A), P (B), P (C) and P (D)), and the probabilities of four prize boxes obtained by subsequently solving the model are P (A), P (B), P (C) and P (D).

In an embodiment of the prize drawing method of the present invention, in step S6, based on the multivariate linear programming model and the base-preserving water level value, a simulation test is performed to obtain a drawing probability of each prize box, including:

and S61, carrying out a simulation test by using a Monte Carlo simulation experiment based on the multivariate linear programming model and the base water level value to obtain the lottery drawing probability of each prize box.

Here, as shown in fig. 2, the invention may use a monte carlo simulation experiment to perform algorithm design verification for multiple times, check the randomness of the algorithm from a statistical perspective according to a large number of repeated experiments, and evaluate the rationality of the algorithm result from a user experience perspective to iteratively improve the probability setting of the prize box.

In order to further verify whether the probability of the card drawing and the random algorithm of the card drawing obtained by the algorithm design meet the business expectation or not, the invention carries out computer simulation by using a Monte Carlo method which can truly simulate the actual physical process. The simulation process is as follows:

(1) And (3) constructing a probability process: on the basis of the initial probability obtained by planning and solving, calculating the preset extraction probability of each prize box after the design of the water level of the bottom-preserving water is considered, taking the preset extraction probability as the weight value of each prize box during blind box lottery drawing, and performing weighted random simulation extraction between (0,1);

(2) Random sampling of known distributions is achieved: using computer simulation experiments, M groups were resampled N times (M, N large enough). 10000 groups of experiments can be selected in practice, and each group of experiments is randomly sampled 10000 times;

(3) Establishing an estimator and carrying out statistical test: calculating each sample under each repeated sampling testThe actual drawing probability of each prize box is drawn, and the expected probability value of each prize box drawn under M groups of simulation experiments is calculated

And standard deviation S, assuming that the actual drawing probability of the prize box A is mu, and the expected probability value drawn under M groups of simulation experiments is

The standard deviation is S, and at the moment, the test statistic can be constructed according to a mean hypothesis test method with unknown gross variance of the large sample

And taking the statistically common significance level alpha =5% as a judgment standard, and if the value of the statistic satisfies | t | < t _α (M-1), the original test hypothesis can be accepted and statistically considered

The design and application of the algorithm accord with business expectation, namely the practice of the blind box card extraction algorithm provided by the invention obeys randomness under certain probability distribution, and has fairness and operability.

As shown in fig. 3, the present invention may also provide a double logic blind box card extracting apparatus based on a multivariate linear programming model, including:

a first prize box management module. For managing the double prize box logic in a lottery event. After the probability of winning a prize in each prize box is set, the probability is taken as the weight to realize random lottery drawing;

and a second prize box management module. For a specific prize box, roll values of different prizes of the prize box are set, and then random winning of the different prizes under the prize box is achieved by taking the Roll values as weights. When the lottery event runs, the probability of the prize box set based on the first prize box management module cannot be adjusted, but the Roll values of different prizes under a single prize box can be adjusted in time based on the second prize box management module;

and a third prize box management module. The probability of the prize box set by the first prize box management module is theoretical probability, and non-headman players are not considered, at the moment, the third prize box management module can set the base-preserving water level value n to improve the experience of the users, namely, if the highest-level prize box A is not drawn by a certain user n-1 times before, the nth prize box A can be drawn necessarily. After the water level bottom protection is set based on the third prize box management module, the actual winning probability of the prize box A can be improved, and the actual winning probability of other prize boxes can be reduced;

and a promotion management module. The module is used for sales promotion management of N continuous drawing, namely, consumed points are discounted when N continuous drawing is carried out;

and a monitoring and early warning management module. The module is used for monitoring the capacity and drawing probability of the lottery draw boxes, setting the capacity threshold of the lottery draw boxes, giving an alarm when the stock of the lottery draw boxes is lower than the threshold, and calculating the real-time probability of each lottery draw box actually; alarming when the deviation of the probability from the theoretical value exceeds a threshold value; the real-time probability of each prize in the prize box actually being drawn can be calculated, and an alarm is given when the deviation of the probability and a theoretical value exceeds a threshold value;

and a backflow calculating module. The module is used for calculating the return points and the number of points consumed when the limited prize is exhausted, and is used as a reference for point issuing.

Details of the embodiments of the apparatuses of the present invention may specifically refer to corresponding parts of the embodiments of the methods, and are not described herein again.

The method of the invention may be integrated in a specific control device.

The control device of the present invention may be a computer program product, wherein the computer program product, when run on a computer, causes the computer to perform some or all of the steps of the method as in the above method embodiments.

The control device of the present invention may be an application distribution platform for distributing a computer program product, wherein the computer program product, when run on a computer, causes the computer to perform part or all of the steps of the method as in the above method embodiments.

In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply a necessary order of execution, and the order of execution of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

The various systems and elements of the invention, if implemented as software functional elements, may be stored in a computer accessible memory. With this understanding, part or all of the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several requests to enable one or more computer devices (such as a personal computer, a server, or a network device, and may specifically be a processor in the computer device) to execute part or all of the steps of the above methods according to the embodiments of the present invention.

Those skilled in the art will appreciate that all or a portion of the steps of the various illustrated embodiments of the invention may be performed by associated hardware as instructed by a computer program, which may be stored centrally or distributed on one or more computer devices, such as a readable storage medium. Such computer devices may include Read-Only Memory (ROM), random Access Memory (RAM), programmable Read-Only Memory (PROM), erasable Programmable Read-Only Memory (EPROM), one-time Programmable Read-Only Memory (OTPROM), electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, tape storage, or any other medium from which a computer can Read or store data.

It should be understood by those skilled in the art that the above embodiments are only for illustrating the present invention and are not to be used as a limitation of the present invention, and that changes and modifications to the above described embodiments are within the scope of the claims of the present invention as long as they are within the spirit and scope of the present invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

It should be noted that the present invention may be implemented in software and/or in a combination of software and hardware, for example, as an Application Specific Integrated Circuit (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software program of the present invention may be executed by a processor to implement the steps or functions described above. Also, the software programs (including associated data structures) of the present invention can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Further, some of the steps or functions of the present invention may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.

In addition, some of the present invention can be applied as a computer program product, such as computer program instructions, which when executed by a computer, can invoke or provide the method and/or technical solution according to the present invention through the operation of the computer. Program instructions which invoke the methods of the present invention may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with the program instructions. An embodiment according to the invention comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or solution according to embodiments of the invention as described above.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims

1. A prize drawing method, comprising:

step S1, determining constraint conditions of each prize box;

s3, adjusting the lottery probability of prizes in each prize box;

if the actual drawing probability of each prize box meets the randomness distribution requirement under the preset probability, the setting of the multivariate linear programming model, the lottery drawing probability of prizes in each prize box and the bottom-preserving water level value is successful;

2. A prize drawing method according to claim 1, wherein the step S1 of determining constraints for each prize box based on the value and number of each prize in each box comprises:

3. A prize drawing method as claimed in claim 1, wherein the step S1 of determining constraints for each prize box includes:

4. A prize drawing method as claimed in claim 1, wherein the step S1 of determining constraints for each prize box includes:

5. The prize extraction method as claimed in claim 4, wherein the step S1 of determining the constraints for each prize box includes:

a constraint condition is determined that the value of a higher-value box multiplied by the drawing probability of that box is higher.

6. A prize drawing method as claimed in claim 5, wherein the step S1 of determining constraints for each prize box includes:

7. A prize extraction method as claimed in claim 1, wherein the step S2 of obtaining a multivariate linear programming model based on constraints of each prize box comprises:

constructing an objective function embodying cost/benefit minimization;

and obtaining a multivariate linear programming model based on the objective function of cost/benefit minimization and the constraint conditions of each prize box.

8. A prize drawing method as claimed in claim 1, wherein the step S6 of performing a simulation test to obtain the drawing probability of each prize box based on the multivariate linear programming model and the base water level value comprises:

9. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 8.

10. An apparatus for information processing at a network device, the apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform the method of any one of claims 1 to 8.