CN104574150A

CN104574150A - Patent permission price calculating method and system

Info

Publication number: CN104574150A
Application number: CN201510014883.6A
Authority: CN
Inventors: 陶冶
Original assignee: Individual
Current assignee: Individual
Priority date: 2015-01-12
Filing date: 2015-01-12
Publication date: 2015-04-29

Abstract

The invention provides a patent permission price calculating method and system. The system comprises a variable input module, a variable output module, a permission mode selection module and an algorithm module. A patent permission mode is selected, the input variable is calculated through a corresponding algorithm, and then the output variable is obtained. According to the calculating method, the permission period variable change rule is analyzed to predict the annual patent earning change in the patent permission period, the sum of annual earnings in the patent permission period is obtained through certain algorithms according to the discount rate, and then the patent permission price is obtained. The method effectively solves the problem of calculation of annual patent earnings in the permission period, and the patent permission price is accurately worked out through the dismounting adding calculating. The method effectively solves the problem of valuation of a patent in the permission period, and the vacancy in the prior art is filled up.

Description

The computing method of patent grant price and system

Technical field

The present invention relates to a kind of computing method and system of patent grant price.

Background technology

In the prior art, patent assets assessment is exactly the assessment to patent transfer price, the entitlement but if obligee does not sell a patent, only to be ready to amortize the right to use of patent, or the right to use in certain hour, and may some objects be permitted implement simultaneously, in this case, how does the license of patent fix a price?

Summary of the invention

The technical problem to be solved in the present invention is the patent grant pricing problem of insurmountable selected Licensing Model and license terms in prior art, a kind of computing method and system of patent grant price are proposed, after selected Licensing Model, discount by the income of algorithms of different to patent each year in license terms and add and calculate, thus finally obtaining science patent grant price accurately.

The present invention is solved the problems of the technologies described above by following technical proposals:

The present invention proposes a kind of computing method and system of patent grant price, after selected Licensing Model, by the annual growth rate of market within the patent grant phase of product involved by patent, technical field involved by patent is the variable such as annual effectively patent rate of growth within the patent grant phase, under certain algorithm, patent income is converted to the patent income in each year in the patent grant phase, then under certain algorithm, the patent income in year each in the patent grant phase discounted with discount rate variable and add and calculate.

This computing method are formulated as:

Formula 1:

\begin{matrix} P_{P} = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + {nr}_{k})}] \end{matrix}

\begin{matrix} = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) R_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

Formula 2:

\begin{matrix} P_{N} = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + n r_{k})}] \\ = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) {(1 + p_{2}) R}_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

P _p---patent Exclusive License price;

P (P)---patent income;

M---product involved by patent is annual growth rate of market within the patent grant phase;

P---technical field involved by patent is annual effectively patent rate of growth within the patent grant phase;

R---discount rate;

R---discount factor;

K---the patent grant phase;

P _n---patent General License price;

C---patent General License number of objects;

If Exclusive License, then formula 1 is used to calculate patent Exclusive License price.If General License, then formula 2 is used to calculate patent General License price.

Wherein, patent income refers to the patent that calculates by analysis in income instantly.The annual growth rate of market within the patent grant phase of product involved by patent also can be the product profit perannum rate of growth within the patent grant phase involved by every annual sales revenue rate of growth or patent within the patent grant phase of product involved by patent.The patent grant phase must be less than or equal to term of a patent.Patent General License number of objects be greater than 1 integer.Discount rate is the bank's fixed-term deposit rate same period, or the bank's loan interest rate same period.

The present invention also proposes a kind of system calculating patent grant price, comprises variable load module, variable output module, and Licensing Model selects module, and algoritic module.First select patent grant pattern, by respective algorithms, input variable is calculated, namely obtain output variable.Variable in variable load module comprises: patent income, and product involved by patent is annual growth rate of market within the patent grant phase, and technical field involved by patent is annual effectively patent rate of growth within the patent grant phase, discount rate, discount factor, patent grant phase, patent General License number of objects etc.Variable in variable output module comprises: patent Exclusive License price, patent General License price etc.Algorithm in algoritic module is exactly as above shown in formula.

System, after selected Licensing Model, carries out analysis and calculation by algoritic module to the variable in variable load module, finally draws patent grant price and exports.

Positive progressive effect of the present invention is: the present invention proposes a kind of computing method and system of patent grant price, it has used for reference the computing method (" computing method of patent transfer price and system " CN201410264685.0) of patent transfer price, introduce the variablees such as patent grant pattern, patent grant phase, patent grant number of objects, obtain the patent grant price under the different Licensing Model of patent by certain mathematical operation.The present invention add after using and patent income annual in license terms being discounted and method calculate the exercise price of patent, ensured the science of patent grant calculation of price result, objectivity, accuracy and authenticity.Technical scheme proposed by the invention, effectively solves as patent is under Licensing Model, the valuation of patent assets and pricing problem.

Accompanying drawing explanation

Fig. 1 is the computing system principle schematic of patent grant price of the present invention.

Fig. 2 is patent grant Price Algorithm principle schematic of the present invention.

Embodiment

Mode below by embodiment further illustrates the present invention, but does not therefore limit the present invention among described scope of embodiments.

Embodiment 1

For patent of invention " dark door absorption device " CN102182371B, this patent is filed an application on April 26th, 2011, and on February 19th, 2014 obtains the authorization, and patentee is Shanghai Yangyang Daduoli Special Tack Co., Ltd..

As shown in Figure 1-2, first selected patent grant pattern is General License; License terms is 5 years, i.e. k=5; Intending permission object quantity is 2, i.e. c=2.

According to data investigation and analysis, the patent income P (P) of " dark door absorption device " CN102182371B is Renminbi 670,000 yuan.

r ₁＝0.03；r ₂＝0.0375；r ₃＝0.0425；r ₄＝0.0425；r ₅＝0.0475

R ₁＝1.03；R ₂＝1.08；R ₃＝1.13；R ₄＝1.17；R ₅＝1.24

Through door attraction device product scope marketing personal analyses and prediction, m ₁=m ₂=...=m ₅=0.02

Through the effective patent trend graph prediction of door attraction device,

p ₁＝0.4；p ₂＝0.2；p ₃＝0.1；p ₄＝0.05；p ₅＝0.01

According to formula

Formula 2:

\begin{matrix} P_{N} = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + n r_{k})}] \\ = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) {(1 + p_{2}) R}_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

P _n---patent General License price;

P (P)---patent income;

R---discount rate;

R---discount factor;

K---the patent grant phase;

C---patent General License number of objects;

Calculate,

P _n=91.12 (ten thousand yuan)

By analysis and calculate, patent of invention: " dark door absorption device " CN102182371B is when to intend permission object quantity be 2, and its five terms patent General License price is 91.12 ten thousand yuan.

Embodiment 2

As shown in Figure 1-2, for patent of invention " dark door absorption device " CN102182371B, this patent is filed an application on April 26th, 2011, and on February 19th, 2014 obtains the authorization, and patentee is Shanghai Yangyang Daduoli Special Tack Co., Ltd..

First selected patent grant pattern is Exclusive License; License terms is 5 years, i.e. k=5.

R ₁＝1.03；R ₂＝1.08；R ₃＝1.13；R ₄＝1.17；R ₅＝1.24

Through the effective patent trend graph prediction of door attraction device,

p ₁＝0.4；p ₂＝0.2；p ₃＝0.1；p ₄＝0.05；p ₅＝0.01

According to formula

Formula 1:

\begin{matrix} P_{P} = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + n r_{k})}] \\ = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) {(1 + p_{2}) R}_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

P _p---patent Exclusive License price;

P (P)---patent income;

R---discount rate;

R---discount factor;

K---the patent grant phase;

Calculate,

P _n=182.24 (ten thousand yuan)

By analysis and calculate, patent of invention: the five term patent Exclusive License prices of " dark door absorption device " CN102182371B are 182.24 ten thousand yuan.

Although the foregoing describe the specific embodiment of the present invention, it will be understood by those of skill in the art that these only illustrate, protection scope of the present invention is defined by the appended claims.Those skilled in the art, under the prerequisite not deviating from principle of the present invention and essence, can make various changes or modifications to these embodiments, but these change and amendment all falls into protection scope of the present invention.

Claims

1. computing method for patent grant price, is characterized in that, described computing method are formulated as:

Formula 1:

\begin{matrix} P_{P} = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) ({1 + m}_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + {nr}_{k})}] \\ = P (P) \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) R_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) ({1 + p}_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

Formula 2:

\begin{matrix} P_{N} = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) (1 + r_{1})} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) (1 + 2 r_{2})} \\ + . . . \frac{(1 + m_{1}) ({1 + m}_{2}) . . . (1 + m_{k})}{(1 + p_{1}) (1 + p_{2}) . . . (1 + p_{k}) (1 + {nr}_{k})}] \\ = \frac{P (P)}{c} \times [\frac{(1 + m_{1})}{(1 + p_{1}) R_{1}} + \frac{(1 + m_{1}) (1 + m_{2})}{(1 + p_{1}) (1 + p_{2}) R_{2}} \\ + . . . \frac{(1 + m_{1}) (1 + m_{2}) . . . (1 + m_{k})}{(1 + p_{1}) ({1 + p}_{2}) . . . (1 + p_{k}) R_{k}}] \end{matrix}

P _p---patent Exclusive License price;

P (P)---patent income;

R---discount rate;

R---discount factor;

K---the patent grant phase;

P _n---patent General License price;

C---patent General License number of objects;

If Exclusive License, then use formula 1 to calculate patent Exclusive License price, if General License, then use formula 2 to calculate patent General License price.

2. the computing method of patent grant price as claimed in claim 1, it is characterized in that, the annual growth rate of market within the patent grant phase of product involved by described patent also can be the product profit perannum rate of growth within the patent grant phase involved by every annual sales revenue rate of growth or patent within the patent grant phase of product involved by patent.

3. the computing method of patent grant price as claimed in claim 1, it is characterized in that, the described patent grant phase must be less than or equal to term of a patent.

4. the computing method of patent grant price as claimed in claim 1, is characterized in that, described patent General License number of objects be greater than 1 integer.

5. calculate a system for patent grant price, it is characterized in that, comprise variable load module, variable output module, Licensing Model selects module, and algoritic module, first select patent grant pattern, by respective algorithms, input variable is calculated, namely obtain output variable.

6. the system calculating patent grant price as claimed in claim 5, it is characterized in that, variable in described variable load module comprises: patent income, product involved by patent is annual growth rate of market within the patent grant phase, technical field involved by patent is annual effectively patent rate of growth within the patent grant phase, discount rate, discount factor, the patent grant phase, patent General License number of objects.

7. the system calculating patent grant price as claimed in claim 5, it is characterized in that, the variable in described variable output module comprises: patent Exclusive License price, patent General License price.

8. the as claimed in claim 5 system calculating patent grant price, is characterized in that, the algorithm in described algoritic module is formula 1 in claim 1 and formula 2.