CN112084175A - Novel intellectual property trading system and index evaluation system based on block chain and big data technology - Google Patents
Novel intellectual property trading system and index evaluation system based on block chain and big data technology Download PDFInfo
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Abstract
The invention provides a novel intellectual property trading system and an index evaluation system based on a block chain and big data technology, which comprises the following steps: the system comprises a patent pool transaction data acquisition module, a data preprocessing module, a calculation module, an innovation index calculation module, a map area representation module and a chart making module, wherein each module is used for respectively monitoring microscopic indexes (latest transaction amount, user amount, platform transaction turnover rate, patent growth rate, patent input realization rate and citation index) and measuring and calculating macroscopic indexes (national innovation index NII and regional innovation index RII). The invention realizes regional real-time monitoring of transaction dynamic on time and space by using the mass data of the patent transaction platform, creates good user ecology and improves the effectiveness of the patent financial market.
Description
Technical Field
The invention relates to big data analysis, block chain and patent pool technologies, in particular to a novel intellectual property trade index evaluation support system based on big data processing, which is a platform application based on big data and block chains.
Background
Under the large environment of rapid development and application of the block chain technology, at the present stage, a transaction platform established by taking the block chain technology as a support is subjected to large-scale practice and leap development. On the other hand, with the advent of the big data era, big data analysis also arose. Big data analytics refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within an affordable time frame. The method is a massive, high-growth rate and diversified information asset which can have stronger decision making power, insight discovery power and process optimization capability only by a new processing mode. Today, big data analysis has been applied in many fields such as banks and securities, communication media, medical treatment, education, retail and transportation, and is precisely combined with data characteristics specific to each industry.
Meanwhile, under the background of a new era, the high and new technology industry is developed vigorously, more and more initial enterprises take the independently developed technology as own city-protecting rivers, and a certain number of high-value core patents become core elements for the enterprises to turn into markets and improve competitive strength. The expansion of the patent supply end well-jet type provides a new appeal for the construction of a patent trading market. When the intellectual property trade scale is continuously enlarged, the data processing and application have new value. At present, intellectual property trade is individualized and decentralized, most intellectual property operating organizations in China select one of an intermediary mode and a patent pool operating mode when selecting the operating mode, the two operating modes are combined to construct an intermediary platform index number depending on a patent pool, a systematic intellectual property operating system is not formed, a resource integration type operating cooperation service platform and a monitoring index are lacked, dynamic and active degrees of the whole market are tracked by patent trading main bodies in real time, and decision bases can be provided for investors and policy makers. Further, intellectual property as an intangible asset creating productivity can realize financial innovation by being recombined with various financial elements, thereby improving market depth and liquidity.
Disclosure of Invention
Aiming at the phenomena of low transaction frequency and dispersed transaction information of the prior intellectual property, the invention finally solves the problems of unsmooth patent achievement transformation market, retardation of innovation and entrepreneurship and the like by introducing a block chain and a patent pool technology. The invention provides a novel intellectual property trade index evaluation support system based on big data processing, aiming at solving the problems that the prior intellectual property field lacks a systematic operation system, lacks a resource integration type operation cooperative service platform, lacks a monitoring index and the like, and aims to give full play to the financial value of intangible assets by means of data statistics and analysis of liquidity of inventory market patents. Specifically, the invention solves the problems through the following technical scheme:
in a first aspect, the invention establishes a novel intellectual property trade index evaluation support system based on big data processing, which comprises the following modules:
In the technical scheme of the invention, all data come from an intellectual property trading platform based on a block chain and a patent pool, all registered users in platform trading are involved, all processes are completed on line, and the manufactured indexes, maps and charts are displayed in an IP index module of the platform for the browsing of platform users and can be used as bottom data for commercial analysis and financial product design.
Preferably, step 1 specifically comprises:
step 1-1, existing patents register uplink: uploading patent information which is successfully registered in the national patent office to a block chain, and determining the corresponding relation between the patent and a specific holder;
step 1-2, entering a patent pool: providing a service of entering a pool for registered patents, and linking the information of entering the pool of the patents to an uplink;
step 1-3, putting into the market: after step 2 is completed, the patent owner can sell the patents which are not sold in the form of the hang-up statement, fill in the relevant information, and after the platform passes the examination, sell the patents to enter the trading market in the form of orders;
step 1-4, purchase patent: a buyer screens a patent list according to needs in a patent transaction market, selects a patent expected to be purchased, fills purchase information, drafts a contract and then completes the purchase;
step 1-5, transaction information cochain: and (4) packaging the transaction information purchased and completed by the buyer in the step (4), storing the transaction information into the block, integrating, packaging and uploading the transaction information into a block chain for storage and display, and inputting a hash block number for checking.
Step 1-6, platform transaction monitoring: and 5, taking the transaction information in the step 5 as background data statistics and analysis, and collecting all patent transaction data including user quantity, patent number, transaction quantity and quoted times in the last month and last hour of the platform.
Preferably, step 2 specifically comprises:
and the data cleaning is to judge the reasonability of the data cleaning from logic and experience on the basis of data screening, optimize and adjust the data cleaning and then selectively clean the data, namely to clean selectively according to requirements.
And data preprocessing, namely performing normalization processing, standardization processing and the like on the data subjected to the stationary processing and the abnormal value elimination, so that the subsequent display and calculation of indexes are facilitated.
Preferably, step 3 specifically comprises:
and calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent investment realization rate and the citation index, inserting the calculated values into an index page, and changing in real time.
Wherein, the latest transaction amount is the sum of the money amounts of all current trades; the user quantity is the total user quantity of the platform; the platform transaction turnover rate is equal to the patent traffic per hour/total number of patents sold in the patent pool x 100%; the patent growth rate is the number of newly added patents in the month/the number of patents in the previous month x100 percent; patent investment achievement rate is patent value or pledge credit/government investment; citation index is the absolute total number of times a patent is cited by a subsequent patent.
Preferably, step 4 specifically includes:
calculating the NII/RII by the formula 0.2X1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6, and inserting the calculated value into the macroscopic index page; wherein X1 represents the sum of RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents the achievement rate of investment, which is the patent value or pledge credit/government invested funds; x4 represents the mortgage loan success rate, which is the sum of the successful application of the mortgage loan patent/application of the mortgage loan patent; x5 denotes the citation index, which is the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, which is the number of patents added to the platform in a month/the number of patents in the previous month;
preferably, step 5 specifically comprises:
and (4) map marking, namely distinguishing different regions on the map according to the depth of the region innovation index and the color, and reflecting the region accumulated transaction amount by using a light beam.
And dynamically updating and tracking, namely updating data on the map in real time according to the transaction information achieved by the platform, if a transaction is not achieved, the block of the area is lightened, and when the transaction activity of the platform reaches a certain level, the dynamic map presents a prosperous transaction scene.
Preferably, step 6 specifically includes:
a chart 1 is prepared, a national innovation index industry ranking list is prepared according to the national innovation index ranking, and the annual ranking list is divided into three dimensions of invention, practical innovation and appearance design;
a chart 2 is prepared, a national annual innovation index variation graph is prepared according to the national annual innovation indexes, the national annual innovation level variation of the last three years is shown, and industry instructive opinions are provided;
and (3) making a chart 3, making a ranking histogram of the indexes of each region of the year according to the innovation indexes of each province and each city of the year, and directly showing the distribution condition of the regions of the national innovation level in the chart, thereby being beneficial to policy coordination and resource allocation.
The invention has the beneficial effects that: according to the scheme, the chaining operation is performed on the patent information data, the order data and the transaction data, historical information is recorded by utilizing the distributed book characteristic of the block chain, and traceable and verifiable historical records and predictable and stable future cash flows are achieved. Meanwhile, the technology of the alliance chain and the intelligent contract is adopted, so that information disclosure, access control, automatic triggering and fair transaction are effectively achieved, and penetrating (real-time) supervision of government agencies and supervision agencies on the alliance chain is facilitated. The invention discloses a platform transaction rate and transaction amount and IP indexes obtained through measurement and calculation in real time by monitoring mass transaction data, presents the transaction condition of a specific time point to a user, presents the industry acceptance of the platform and increases the user flow; meanwhile, trend analysis based on the trading index trend graph can assist investors and policy makers in optimizing decisions and play a role in price discovery. After the platform enters the maturity period, the transaction flow tends to be stable, the trend index is used as the standard of financial derivatives, financial innovation aiming at enhancing risk management capacity is facilitated, and the mobility of financial assets and the effectiveness of markets are improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below.
Fig. 1 is a schematic workflow diagram of a novel intellectual property trade index evaluation support system based on big data processing according to an embodiment of the present invention;
fig. 2 is a presentation diagram of microscopic indexes in a novel intellectual property trade index evaluation support system based on big data processing provided in the embodiment of the present invention;
fig. 3 is a presentation diagram and a ranking chart of national and regional innovation indexes in a novel intellectual property trade index evaluation support system based on big data processing according to an embodiment of the present invention.
FIG. 4 shows a specific process of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, the invention discloses a novel intellectual property trade index evaluation support system based on big data processing, which specifically comprises the following steps:
As shown in fig. 2, the present invention utilizes a patent transaction platform based on blockchain and patent pool technology, and the specific steps are as follows:
Referring to fig. 1-4, the invention provides a micro index and a macro index in order to give accurate trading index evaluation.
The microscopic indexes are respectively as follows:
1. the latest transaction amount: the latest transaction amount is the sum of the RMBs of all current transactions;
2. user quantity: the user quantity is the total user quantity of the platform;
3. the platform transaction turnover rate: the platform transaction turnover rate is equal to the patent traffic per hour/total number of patents sold in the patent pool x 100%;
4. the growth rate of the patent is as follows: the number of newly added patents in the month/the number of patents in the previous month is x100 percent;
5. patent input achievement rate: patent investment achievement rate is patent value or pledge credit/government investment;
6. citation index: citation index is the absolute total number of times a patent is cited by a subsequent patent;
the microscopic indexes are helpful for monitoring the real-time patent transaction state of the platform by calculating the transaction turnover rate, the latest transaction amount, the patent growth rate and the like of the platform. At the same time, they also show utilization and user traffic, attracting more potential new users.
In addition, the dynamic indexes improve the effectiveness of trend analysis of investors, help intellectual property rights with high value heterogeneity to realize price discovery, and help to realize pricing and quantitative analysis based on risk management. As a target asset of financial derivatives, dynamic indicators change with market strength to enhance market depth and liquidity at the application level.
The macro index calculation formula is as follows: NII/RII-0.2X 1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6
Wherein, each character has the following meaning:
x1 sum of RMBs of all transactions currently in the platform
X2 number of platform Member
X3 investment achievement rate is patent value or pledge loan amount/government investment
X4 sum of successful application of mortgage patent/application of mortgage patent
X5 citation index is the absolute total number of times a patent is cited by a subsequent patent
X6 patent growth rate (number of newly added patents in one month/number of patents in previous month) of platform
The invention fully considers the indexes and provides a novel intellectual property trade index evaluation support system based on big data processing, which comprises the following steps:
the transaction data acquisition module: acquiring all patent transaction data of the platform in the month and hour, including user quantity, patent number, transaction quantity and quoted times;
a data preprocessing module: in the collected data, performing stable processing on the data, and removing abnormal values and repeated values;
a calculation module: calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent investment realization rate and the citation index, inserting the calculated values into an index page, and changing in real time;
an innovation index calculation module: calculating the NII/RII by the formula 0.2X1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6, and inserting the calculated value into the macroscopic index page; wherein X1 represents the sum of RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents the achievement rate of investment, which is the patent value or pledge credit/government invested funds; x4 represents the mortgage loan success rate, which is the sum of the successful application of the mortgage loan patent/application of the mortgage loan patent; x5 denotes the citation index, which is the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, which is the number of patents added to the platform in a month/the number of patents in the previous month;
a map area representation module: according to the depth of the area innovation index, different areas are distinguished on the map by using the color depth, and the accumulated area trading volume is reflected by using light beams;
a chart making module: and making an annual national innovation index industry ranking list, an annual national innovation index variation graph and an annual provincial index ranking histogram.
By introducing macroscopic economic variables such as input achievement rate and the like, a national and regional innovation index (NII/RII) is also created and consists of six key indexes, and the weight of the six indexes is calculated by the data after regional classification. The National innovation Index (National innovation Index) and the Regional innovation Index (Regional innovation Index) are drawn on a map according to the difference of relative scores, and annual National innovation Index industry ranking lists (invention patent, utility model patent and appearance design patent) and annual provincial Index ranking bar chart displays are listed at the margins so as to present the intellectual property development conditions of the country and various regions, as shown in fig. 2 and 3.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (7)
1. A novel intellectual property trading system and index evaluation system based on block chains and big data technology is characterized by comprising:
step 1, a patent pool transaction data acquisition module: acquiring all patent transaction data of the platform in the month and hour, including user quantity, patent number, transaction quantity and quoted times;
step 2, the data preprocessing module: in the collected data, performing stable processing on the data, and removing abnormal values and repeated values;
step 3, a calculation module: calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent investment realization rate and the citation index, inserting the calculated values into an index page, and changing in real time;
step 4, an innovation index calculation module: calculating national and regional innovation indexes NII/RII through a formula;
step 5, the map area representation module: according to the depth of the area innovation index, different areas are distinguished on the map by using the color depth, and the accumulated area trading volume is reflected by using light beams;
step 6, a chart making module: and making a national innovation index industry ranking list of the year, a national innovation index variation graph of the year and an index ranking histogram of each region of the year.
2. The system for supporting intellectual property trading index evaluation based on big data processing according to claim 1, wherein in the step 1, the invention builds a patent trading platform based on a block chain and a patent pool, and the system for supporting intellectual property trading index evaluation based on big data processing is characterized by comprising:
step 1-1, existing patents register uplink: uploading patent information which is successfully registered in the national patent office to a block chain, and determining the corresponding relation between the patent and a specific holder;
step 1-2, entering a patent pool: providing a service of entering a pool for registered patents, and linking the information of entering the pool of the patents to an uplink;
step 1-3, putting into the market: after step 2 is completed, the patent owner can sell the patents which are not sold in the form of the hang-up statement, fill in the relevant information, and after the platform passes the examination, sell the patents to enter the trading market in the form of orders;
step 1-4, purchase patent: a buyer screens a patent list according to needs in a patent transaction market, selects a patent expected to be purchased, fills purchase information, drafts a contract and then completes the purchase;
step 1-5, transaction information cochain: and (4) packaging the transaction information purchased and completed by the buyer in the step (4), storing the transaction information into the block, integrating, packaging and uploading the transaction information into a block chain for storage and display, and inputting a hash block number for checking.
Step 1-6, platform transaction monitoring: and 5, taking the transaction information in the step 5 as background data statistics and analysis, and collecting all patent transaction data including user quantity, patent number, transaction quantity and quoted times in the last month and last hour of the platform.
3. The system for supporting intellectual property trading index evaluation based on big data processing as claimed in claim 1, wherein in step 2, the data preprocessing is to smooth the data and remove abnormal values and repeated values;
step 2-1, in the data analysis process, incomplete and abnormal data in a large amount of original data may trigger interference and influence modeling efficiency. Firstly, on the basis of data screening, the reasonability of data cleaning is judged logically and empirically, optimization and adjustment are made, and then cleaning is carried out selectively, namely 'selective cleaning on demand'.
And 2-2, aiming at the data which is subjected to the stationary processing and the abnormal value elimination, normalization processing, standardization processing and the like are carried out, so that the subsequent display and calculation of indexes are facilitated.
4. The system according to claim 1, wherein in step 3, the calculation module calculates the following method:
and calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent investment realization rate and the citation index, inserting the calculated values into an index page, and changing in real time.
Step 3-1, calculating the latest transaction amount by a calculation module to be the sum of the money amounts of all current trades;
step 3-2, calculating the user quantity calculated by the calculation module as the total user quantity of the platform;
3-3, the method for calculating the platform transaction turnover rate calculated by the module comprises the following steps: the platform transaction turnover rate is equal to the patent traffic per hour/total number of patents sold in the patent pool x 100%;
and 3-4, the method for calculating the patent growth rate by the calculation module comprises the following steps: the patent growth rate is the number of newly added patents in the month/the number of patents in the previous month x100 percent;
and 3-5, the method for calculating the patent input achievement rate by the calculation module comprises the following steps: patent investment achievement rate is patent value or pledge credit/government investment;
3-6, the method for calculating the quotation indexes by the calculating module comprises the following steps: citation index is the absolute total number of times a patent is cited by a subsequent patent.
5. The system of claim 1, wherein in the step 4, the innovation index calculation module calculates the method as follows:
calculating the NII/RII by the formula 0.2X1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6, and inserting the calculated value into the macroscopic index page; wherein X1 represents the sum of RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents the achievement rate of investment, which is the patent value or pledge credit/government invested funds; x4 represents the mortgage loan success rate, which is the sum of the successful application of the mortgage loan patent/application of the mortgage loan patent; x5 denotes the citation index, which is the absolute total number of times a patent is cited by a subsequent patent; x6 represents the patent growth rate, which is the number of patents added by the platform in a month/the number of patents in the previous month.
6. The system of claim 1, wherein in the step 5, the map area representation module is made by the following method:
step 5-1, distinguishing different regions on a map according to the depth of the region innovation index, and reflecting the accumulated regional trading volume by using light beams;
and 5-2, updating data on the map in real time according to the transaction information achieved by the platform, if no transaction is achieved, lightening the block of the area, and when the transaction activity of the platform reaches a certain level, displaying a prosperous transaction scene on the dynamic map.
7. The system of claim 1, wherein in the step 6, the charting module is designed as follows:
step 6-1, making a national innovation index industry ranking list of the years according to the innovation index ranking of each industry in the country, and performing annual listing according to three dimensions of invention, practical innovation and appearance design;
step 6-2, a national annual innovation index variation graph is manufactured according to the national annual innovation indexes, the national annual innovation level variation of the last three years is shown, and industry guiding opinions are provided;
and 6-3, making an index ranking histogram of each region of each year according to the innovation indexes of each province and each city of the year, and directly showing the distribution condition of the nationwide innovation level region in a chart, thereby being beneficial to policy coordination and resource allocation.
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