CN102708509A - Prop transaction handling method in network games - Google Patents

Abstract

The invention discloses a prop transaction handling method in network games. For any prop, the method comprises the steps of: performing statistic on total sales of the prop in a predetermined time at a predetermined interval, and comparing the latest statically total sales with that of primary time; obtaining the minimum value of the price adjustment rate in a condition that yield change value is maximum when the reducing amplitude value of the total sales is greater than a predetermined amplitude value, and reducing the sale price of the prop according to the minimum value of the price adjustment rate and a first predetermined weight; and raising the sale price of the prop according to the raising amplitude value of the total sales and a second predetermined amplitude value when the raising amplitude value of the total sales is greater than the predetermined amplitude value. According to the prop transaction handling method in network games provided by the invention, the handle prop transaction can be handled flexibly in a condition that time and labor are saved.

Description

Stage property transaction processing method in a kind of online game

Technical field

The present invention relates to field of network game technology, stage property transaction processing method in particularly a kind of online game.

Background technology

The numerical value balance is a problem that all businessmans all pay close attention to always in the online game, if a online game numerical value is unbalance, will finish rapidly.And the store in the recreation is a very important aspect of numerical value.Owing to relate to each system, various operations want to be difficult to sometimes accomplish that through planning fixed number value balance is reasonable.

The stage property price is all planned based on through assaying in the general online game.Main like this is the experience level of seeing planning.Fix a price based on the planning experience, decide the commodity base price based on individual system is understood, the development of games initial stage experiences based on the player again and the adjusting of price is carried out in some data statistics to commodity.Price has decided to adjust hardly, is worth operation with this always and goes down.

Most of online games are based on the feedback modifiers of data statistics, through data such as the sales volume of stage property and sale crowd are analyzed.Through long-term statistics, carry out data correction, or increase makes its measures for balance.This kind disposal route manpower that expends time in, dirigibility is bad.

Summary of the invention

In view of this, the present invention provides stage property transaction processing method in a kind of online game, under the manpower situation of can saving time, handles the stage property transaction flexibly.

For solving the problems of the technologies described above, technical scheme of the present invention is achieved in that

Stage property transaction processing method in a kind of online game comprises a plurality of stage properties in the said online game, comprise for the said method of arbitrary stage property:

Every total sales volume at a distance from Preset Time statistics said stage property in said Preset Time compares the total sales volume and the preceding total sales volume of once adding up of recent statistics;

When the reduction range value of total sales volume during greater than preset range value, in the minimum value that guarantees to obtain under the maximum condition of income changing value the price adjustment rate, and the selling price of turning down said stage property according to the minimum value and the first preset weight of said price adjustment rate;

When the rising range value of total sales volume during, according to the range value of the rising of total sales volume and the selling price that the second preset weight is heightened said stage property greater than preset range value.

In sum; The present invention is through every at a distance from Preset Time statistics total sales volume to a certain stage property; And the total sales volume and a preceding total sales volume of recent statistics compared; When the increase rate value surpasses preset range value, in the selling price that guarantees to turn down under the maximum situation of this stage property income changing value said stage property; When the range value that reduces surpasses preset range value, heighten the selling price of said stage property, under the manpower situation of can saving time, handle the stage property transaction flexibly based on the range value that reduces.

Description of drawings

Fig. 1 is a stage property A transaction processing method schematic flow sheet in the online game in the embodiment of the invention.

Embodiment

For making the object of the invention, technical scheme and advantage clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, scheme according to the invention is done to specify further.

Propose stage property transaction processing method in a kind of online game in the embodiment of the invention, comprise a plurality of stage properties in this online game, identical for the disposal route of the arbitrary stage property transaction in a plurality of stage properties, below being example to stage property A transaction processing.

Referring to Fig. 1, Fig. 1 is a stage property A transaction processing method schematic flow sheet in the online game in the embodiment of the invention.Concrete steps are:

Step 101, whenever separated Preset Time is added up the total sales volume of stage property A in said Preset Time, and the total sales volume and the preceding once total sales volume of statistics of recent statistics compared.

Also pass through the sales volume information of log record stage property A in the embodiment of the invention; Current selling price through log record stage property A.

Whenever in this step, be at a distance from Preset Time statistics method of the total sales volume of stage property A in said Preset Time: Preset Time then, the total sales volume of selling this stage property in this Preset Time of sales volume Information Statistics according to the said stage property of said log record.

Sales situation that can real time record stage property A during concrete the realization, as when selling several stage property A, also can be in Preset Time stage property A of every sale, increase the stage property sales volume of record; To this time Preset Time then, finish the sales volume of record stage property A in this time Preset Time, and begin the record of stage property A sales volume in next Preset Time.The sales data of therefore adding up stage property A in the Preset Time can be directly to read the sales volume of stage property A, and the quantity addition of the stage property A that also can stage property A be sold in this Preset Time obtains the total sales volume of stage property A.

Step 102; When the reduction range value of total sales volume during greater than preset range value; Under the condition that guarantees income changing value maximum, obtain the minimum value of price adjustment rate, and preset the selling price that weight is turned down stage property A according to the minimum value and first of said price adjustment rate.

Preset range value can be according to concrete application setting, as 10% in this step.The said method that under the condition that guarantees income changing value maximum, obtains the minimum value of price adjustment rate is:

If the cost price of stage property A is c, current selling price is p, and current sales volume is n,

N=N (p), sales volume is the function of selling price, the income changing value is Δ W,

ΔW＝(p-c)(N _θ(θp)-N(p))，

The regulation of price is θ, when adjusted profit value equals to adjust preceding profit value,

$N_{\mathrm{\θ}}\left(\mathrm{\θp}\right)-N\left(p\right)=\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}N\left(p\right),$

Then $\mathrm{\Δ\; W}=(p-c)(N_{\mathrm{\θ}}\left(\mathrm{\θ\; p}\right)-N\left(p\right))=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θ\; p}-c}N\left(p\right),$

Δ W to the p differentiate is:

$\frac{\mathrm{\ΔW}}{\mathrm{\Δp}}=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}{N}^{\′}\left(p\right)+(1-\mathrm{\θ})\frac{{\mathrm{\θp}}^2-2\mathrm{pc}+c^2}{{(\mathrm{\θp}-c)}^2}N\left(p\right),$

As

N ' (p)=0 time,

is the minimum value of price adjustment rate.The minimum value that obtains the price adjustment rate in this step is preset the selling price that weight is adjusted stage property A jointly with first, but the amplitude of adjustment can not be lower than the minimum regulation of price, and promptly the first preset weighted value is greater than 1.

Step 103 is when the rising range value of total sales volume during greater than preset range value, according to the range value of the rising of total sales volume and the selling price that the second preset weight is heightened said stage property.

The second preset weight is confirmed according to actual needs in this step; As as required the adjusting range of idea price less than the rising amplitude of total sales volume; Then the second preset weight is made as less than 1; If the adjusting range of idea price greater than the rising amplitude of total sales volume, then is made as the second preset weight greater than 1.

In order to guarantee the data stationarity, can also obtain experience sale price scale value through the method for interpolation, and revise the sale price scale value that above-mentioned theory is obtained in the specific embodiment of the present invention.Concrete implementation method is:

Obtain the different selling prices of up-to-date stage property A preset times; Obtain the adjusted experience selling price of the current selling price of said stage property according to the different selling price of the said preset times of obtaining and the preset times mode through the quadratic function match, and the selling price heightened of the selling price of turning down according to the said stage property of experience selling price correction that the mode through the quadratic function match obtains or said stage property.Wherein, the said method of obtaining the different selling prices of up-to-date stage property A preset times is: the different sale price lattice that obtain the said stage property of up-to-date preset times through said log record.

When concrete the realization; Preset times is set to 10; Be the x axle then with price correction number of times 10; Selling price with stage property A is that the y axle carries out data fitting, as selects for use quadratic function to carry out match, can be through the selling price of regression function according to this less important adjustment of selling price tendency expection of recent stage property A.

How to obtain the minimum value of price adjustment rate when detailed description needs the current selling price of downward modulation in the following specific embodiment:

If the cost price of stage property A is c in the recreation, this is the underlying price of stage property A, and actual selling price is p (p >=c) in recreation; The sales volume of stage property A is expressed as n in print, usually with actual selling price is relevant in the ban, is the function of p; N=N (p); Some extra purchase conditions are abstract here in the sale is expressed as e, and the profit of sale is w, can be expressed as w=(p-c) * N (p)+e.

When the price adjustment rate was θ, the profit statement of sale was shown: w _θ=(θ p-c) * N _θ(θ p)+e _θBut regulate and finally will guarantee w _θ>=w just has following condition: (θ p-c) * N _θ(θ p)>=(p-c) * N (p)+e-e _θ

Thereby obtain: $\mathrm{\θ}\≥\frac{c}{p}+(1-\frac{c}{p})\frac{N\left(p\right)}{N_{\mathrm{\θ}}\left(\mathrm{\θ\; p}\right)}+\frac{e-e_{\text{\θ}}}{{\mathrm{PN}}_{\mathrm{\θ}}\left(\mathrm{\θ\; p}\right)}.$

Extra purchase condition in ignoring recreation, or during price adjustment, when extra purchase condition is constant, and the hypothesis equal sign has when setting up:

$N_{\mathrm{\θ}}\left(\mathrm{\θp}\right)-N\left(p\right)=\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}N\left(p\right).$

If the income changing value is Δ W, and order $\mathrm{\Δ\; W}=(p-c)(N_{\mathrm{\θ}}\left(\mathrm{\θ\; p}\right)-N\left(p\right))=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θ\; p}-c}N\left(p\right)$ The time, differentiate is to Δ W:

$\frac{\mathrm{\ΔW}}{\mathrm{\Δp}}=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}{N}^{\′}\left(p\right)+(1-\mathrm{\θ})\frac{{\mathrm{\θp}}^2-2\mathrm{pc}+c^2}{{(\mathrm{\θp}-c)}^2}N\left(p\right).$

When

The time Δ W have maximal value, and when N ' (p)=0, θ p ²-2pc+c ²=0,

Then obtain the minimum price regulation for

In sum; Pass through a certain stage property every in the specific embodiment of the invention at a distance from Preset Time statistics total sales volume; And the total sales volume and a preceding total sales volume of recent statistics compared; When the increase rate value surpasses preset range value, in the selling price that guarantees to turn down under the maximum situation of this stage property income changing value said stage property; When the range value that reduces surpasses preset range value, heighten the selling price of said stage property, under the manpower situation of can saving time, handle the stage property transaction flexibly according to the range value that reduces.

Also simulate selling price in the future in the specific embodiment of the invention, revise adjusted stage property selling price, the selling price of each said stage property adjustment is tended to be steady according to adjustment number of times and each adjusted price of the selling price of this stage property.

The above is merely preferred embodiment of the present invention, is not to be used to limit protection scope of the present invention.All within spirit of the present invention and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (5)

1. stage property transaction processing method in the online game comprises a plurality of stage properties in the said online game, it is characterized in that, comprises for the said method of arbitrary stage property:

Every total sales volume at a distance from Preset Time statistics said stage property in said Preset Time compares the total sales volume and the preceding total sales volume of once adding up of recent statistics;

When the reduction range value of total sales volume during greater than preset range value, in the minimum value that guarantees to obtain under the maximum condition of income changing value the price adjustment rate, and the selling price of turning down said stage property according to the minimum value and the first preset weight of said price adjustment rate;

When the rising range value of total sales volume during, according to the range value of the rising of total sales volume and the selling price that the second preset weight is heightened said stage property greater than preset range value.

2. method according to claim 1 is characterized in that, the said minimum value that under the condition that guarantees income changing value maximum, obtains the price adjustment rate comprises:

The cost price of said stage property is c, and current selling price is p, and current sales volume is n, and n=N (p), income changing value are Δ W, Δ W=(p-c) (N _θ(θ p)-N (p)), the regulation of price is θ,

When the adjusted profit value of selling price equals the profit value before selling price is adjusted,

$N_{\mathrm{\θ}}\left(\mathrm{\θp}\right)-N\left(p\right)=\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}N\left(p\right),$

$\mathrm{\ΔW}=(p-c)(N_{\mathrm{\θ}}\left(\mathrm{\θp}\right)-N\left(p\right))=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}N\left(p\right),$

Δ W to the p differentiate is:

$\frac{\mathrm{\ΔW}}{\mathrm{\Δp}}=(p-c)\frac{(1-\mathrm{\θ})p}{\mathrm{\θp}-c}{N}^{\′}\left(p\right)+(1-\mathrm{\θ})\frac{{\mathrm{\θp}}^2-2\mathrm{pc}+c^2}{{(\mathrm{\θp}-c)}^2}N\left(p\right),$

As N ' (p)=0 time, is the minimum value of price adjustment rate.

3. method according to claim 2 is characterized in that, said method further comprises:

Obtain the different selling prices of up-to-date said stage property preset times; Obtain the adjusted experience selling price of the current selling price of said stage property according to the different selling price of the said preset times of obtaining and the preset times mode through the quadratic function match, and the selling price heightened of the selling price of turning down according to the said stage property of experience selling price correction that the mode through the quadratic function match obtains or said stage property.

4. according to any described method of claim 1-3, it is characterized in that said method further comprises: through the sales volume information of the said stage property of log record;

Said every separated Preset Time statistics method of the total sales volume of said stage property in said Preset Time is:

Preset Time then, according to the total sales volume of selling this stage property in this Preset Time of sales volume Information Statistics of the said stage property of said log record.

5. method according to claim 3 is characterized in that, during said sales volume information through the said stage property of log record, said method further comprises: through the selling price of the said stage property of log record;

The said method of obtaining the different selling prices of the up-to-date preset times of said stage property is:

Obtain the different selling prices of the said stage property of up-to-date preset times through said log record.

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