CN112084175B - Novel intellectual property transaction system and index evaluation system based on blockchain and big data technology - Google Patents
Novel intellectual property transaction system and index evaluation system based on blockchain and big data technology Download PDFInfo
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Abstract
The utility model provides a novel intellectual property transaction system and an index evaluation system based on a blockchain and big data technology, which comprises the following components: 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 respectively monitors microscopic indexes (latest transaction amount, user amount, platform transaction turnover rate, patent growth rate, patent input realization rate and quotation index) and calculates macroscopic indexes (national innovation indexes NII and regional innovation indexes RII). The utility model realizes regional real-time monitoring of transaction dynamics in time and space by using mass data of the patent transaction platform, builds good user ecology, and improves the effectiveness of patent money melting markets.
Description
Technical Field
The utility model relates to big data analysis, blockchain and patent pool technology, in particular to a novel intellectual property transaction index evaluation support system based on big data processing, which is a platform application based on big data and blockchain.
Background
Under the large environment of rapid development and application of the blockchain technology, the transaction platform established by taking the blockchain technology as a basis obtains a large-scale practice and leap development at the present stage. On the other hand, with the advent of the big data age, big data analysis has also been developed. Big data analysis refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within an affordable time frame. Is a massive, high growth rate and diversified information asset requiring new processing modes to have stronger decision making, insight discovery and process optimization capabilities. Today, big data analysis has been applied in a number of fields of banking and securities, communication media, medical, educational, retail and transportation, etc., in combination with the accuracy of specific data features of various industries.
Meanwhile, under the new era background, the high and new technology industry is vigorously developed, and more initially created enterprises take the independently developed technology as own urban protection river, and have a certain number of high-value core patents to become core elements for improving competitive strength of enterprises from market to market. The expansion of patent supply end blowout has presented new appeal to the construction of patent trading markets. As intellectual property trade continues to expand in size, data processing and applications have new value. When the intellectual property transaction is more individuated and decentralized, the intellectual property operation mechanism in China mostly selects one of an intermediary mode and a patent pool operation mode when the operation mode is selected, and the intermediary mode and the patent pool operation mode are combined to construct an intermediary platform with a flexible index depending on a patent pool, a systematic intellectual property operation system is not formed yet, an operation collaborative service platform and a monitoring index with integrated resources are lacked, and decision-making basis can be provided for investors and policy makers while a patent transaction main body is helped to track the dynamic and active degree of the whole market in real time. Further, intellectual property is an intangible asset creating productivity, and financial innovation can be realized by recombination with various financial elements, so that market depth and liquidity are improved.
Disclosure of Invention
Aiming at the phenomena of low frequency and scattered transaction information of the existing intellectual property transaction, the utility model finally solves the problems of unsmooth market conversion of patent achievements, blocking innovation and creation and the like by introducing a blockchain technology and a patent pool technology. Aiming at the problems of lack of a systematic operation system in the prior intellectual property field, lack of a resource integration type operation cooperative service platform, monitoring index and the like, the utility model provides a novel intellectual property transaction index evaluation support system based on big data processing, and aims to fully exert the financial value of intangible assets by means of data statistics and analysis of liquidity of the disc-living market patent. Specifically, the utility model solves the problems by the following technical scheme:
in a first aspect, the present utility model provides a novel intellectual property trade index evaluation support system based on big data processing, comprising the following modules:
step 1, a patent pool transaction data acquisition module: collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced times in the month and hour of the platform;
step 2, a data preprocessing module: in the collected data, carrying out stable processing on the data, and eliminating 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 input realization rate and the quotation index, inserting the calculated value into an index page, and changing in real time;
step 4, an innovation index calculating module: calculation by formula
NII/rii=0.2x1+0.17x2+0.16x3+0.17x4+0.14x5+0.16x6, and inserting the calculated value into the macro-index page where X1 represents the sum of RMBs for all transactions currently within the platform; x2 represents the number of platform members; x3 represents a deposit achievement rate, the deposit achievement rate=a patent value or mortgage credit amount/government deposit funds; x4 represents a mortgage success rate, a mortgage success rate = a sum of a successfully applied mortgage patent/an applied mortgage patent; x5 represents a citation index = the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, patent growth rate = number of patents that the platform has newly increased in one month/number of patents in the previous month;
step 5, map area representation module: different areas are distinguished on the map according to the innovation index of the areas by using the darkness of the colors, and the accumulated transaction amount of the areas is reflected by using light columns;
step 6, a chart making module: and (5) preparing an annual national innovation index industry ranking list, an annual national innovation index change chart and an annual regional index ranking histogram.
In the technical scheme of the utility model, all data come from an intellectual property transaction platform based on blockchain and patent pools, all registered users in platform transaction are involved, all processes are completed on line, and the manufactured indexes, maps and charts are displayed on an IP index module of the platform for the platform users to browse and can be used as bottom data for business analysis and financial product design.
Preferably, step 1 specifically includes:
step 1-1, existing patent registration uplink: uploading patent information which is successfully registered in the national patent office to a blockchain, and determining the corresponding relation between the patent and a specific holder;
step 1-2, patent entering pool: providing pooling service for registered patents, and linking the pooling information of the patents;
step 1-3, putting into the market: after the step 2 is completed, the patent owner can sell the patent which is held by the owner and is not sold in the form of a hanging bill, and after relevant information is filled in and the platform is checked and passed, the sold patent enters the trade market in the form of an order;
step 1-4, purchase patent: the buyers screen patent lists according to the needs in the patent transaction market, select the patents which want to be purchased, fill in purchase information, draft contracts and complete purchase;
step 1-5, transaction information is uplink: and (3) packaging the transaction information purchased by the buyer in the step (4), storing the transaction information in a block, integrating and packaging the transaction information, uploading the transaction information to a block chain for storage and display, and inputting the hash block number for viewing.
Step 1-6, platform transaction monitoring: and 5, using the transaction information in the step as background data statistics and analysis, and collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced number of times within the month and hour of the platform.
Preferably, step 2 specifically includes:
the data cleaning is firstly based on data screening, the rationality of the data cleaning is judged logically and empirically, optimization and adjustment are made, and then the cleaning is selectively carried out, namely 'selective cleaning on demand'.
The data preprocessing, which is to perform normalization processing, standardization processing and the like on the data subjected to the stable processing and abnormal value elimination, is convenient for the subsequent display and calculation of indexes.
Preferably, step 3 specifically includes:
calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent input realization rate and the quotation index, wherein the latest transaction amount is the sum of the RMB amounts of all the current transactions; the user quantity is the total user quantity of the platform; platform transaction turnover = per hour patent volume/total number of hanging patents in patent pool x100%; patent growth rate = number of patents newly added in one month/number of patents in previous month x100%; patent input achievement rate = patent value or mortgage credit amount/government input funds; citation index = absolute total times a patent is cited by a subsequent patent.
Preferably, step 4 specifically includes:
NII/RII=0.2X1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6 is calculated by the formula and the calculated value is inserted into the macroexponent page; wherein X1 represents the sum of the RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents a deposit achievement rate, the deposit achievement rate=a patent value or mortgage credit amount/government deposit funds; x4 represents a mortgage success rate, a mortgage success rate = a sum of a successfully applied mortgage patent/an applied mortgage patent; x5 represents a citation index = the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, patent growth rate = number of patents that the platform has newly increased in one month/number of patents in the previous month;
preferably, step 5 specifically includes:
the map is marked, different areas are distinguished on the map according to the innovation index of the areas by using the depth of the color, and the accumulated transaction amount of the areas is reflected by using light columns.
Dynamically updating and tracking, updating data on a map in real time according to transaction information achieved by the platform, wherein a transaction is not achieved, a 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 picture.
Preferably, step 6 specifically includes:
the method comprises the steps of (1) making a chart, namely making a annual national innovation index industry ranking list according to the national innovation index ranking, and performing annual listing in three dimensions of utility model, practical innovation and appearance design;
the chart 2 is manufactured, a annual national innovation index change chart is manufactured according to the annual national innovation index, the change of the recent three-year national innovation level is displayed, and the industrial guiding opinion is provided;
and (3) making a chart 3, namely making an index ranking histogram of each region of the year according to the innovation index of each province of the year, and intuitively displaying the distribution condition of the region of the national innovation level in the chart, thereby being beneficial to policy coordination and resource allocation.
The beneficial effects of the utility model are as follows: the scheme performs the uplink operation on the patent information data, the order data and the transaction data, and utilizes the distributed account book characteristic record history information of the blockchain to achieve traceable and verifiable history records and predictable and stable future cash flows. 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 penetration (real-time) supervision by government authorities and supervision authorities on the alliance chain is facilitated. According to the utility model, by monitoring mass transaction data, various indexes such as the platform transaction rate and the transaction amount and the IP index obtained through calculation are published in real time, transaction conditions at specific time points are presented to users, industry acceptance of the platform is presented, and user flow is increased; meanwhile, trend analysis based on the transaction index trend graph can assist investors and policy makers in optimizing decisions, and plays a role in price discovery. The transaction flow tends to be stable after the platform enters the maturity stage, and the trend index is used as the target of the financial derivative, so that financial innovation aiming at enhancing the risk management capability is realized, and the liquidity of the financial asset and the effectiveness of the market are improved.
Drawings
In order to more clearly illustrate the technical solution of the present utility model, the drawings that are used in the embodiments will be briefly described below.
FIG. 1The utility model provides a workflow diagram of a novel intellectual property transaction index evaluation support system based on big data processing;
FIG. 2Is a specific flow of the utility model.
Detailed Description
The utility model will be further described with reference to the accompanying drawings.
Such asFIG. 1The utility model discloses a novel intellectual property transaction index evaluation support system based on big data processing, which specifically comprises the following steps:
step 1, a patent pool transaction data acquisition module: collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced times in the month and hour of the platform;
step 2, a data preprocessing module: in the collected data, carrying out stable processing on the data, and eliminating 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 input realization rate and the quotation index, inserting the calculated value into an index page, and changing in real time;
step 4, an innovation index calculating module: calculating national and regional innovation indexes NII/RII through a formula;
step 5, map area representation module: different areas are distinguished on the map according to the innovation index of the areas by using the darkness of the colors, and the accumulated transaction amount of the areas is reflected by using light columns;
step 6, a chart making module: and (5) preparing an annual national innovation index industry ranking list, an annual national innovation index change chart and an annual regional index ranking histogram.
The utility model discloses a patent transaction platform based on a blockchain and patent pool technology, which comprises the following specific steps:
step 1, existing patent registration uplink: the patent owner uploads the patent information which is successfully registered in the national patent office to the blockchain, and the corresponding relation between the patent and a specific holder is determined;
step 2, patent entering pool: the patent owner puts the patent into a patent pool, and the system links the patent information;
step 3, putting into the market: the patent owner fills out sales information, sells the patent which is held by the owner and is not sold by the hanging bill, and after the system is checked, the patent enters the trade market in an order form;
step 4, purchasing a patent: the buyer screens a patent list according to the needs in the patent transaction market, selects the patent which is expected to be purchased, and generates transaction information after the buyer and the buyer agree with each other by a system draft contract;
step 5, transaction information is uplink: the system packages and links the transaction information to generate a block chain hash, and a buyer can input the hash block number to check the transaction information on the chain.
Such asFIGS. 1-2In order to give accurate transaction index evaluation, the utility model provides a microscopic index and a macroscopic index.
The microscopic indexes are respectively as follows:
1. latest transaction amount: latest transaction amount = sum of RMBs of all transactions at present;
2. user amount: user quantity = total user quantity of the platform;
3. platform transaction turnover rate: platform transaction turnover = per hour patent volume/total number of hanging patents in patent pool x100%;
4. patent growth rate: the number of patents newly added in one month/the number of patents in the last month is x100%;
5. patent input implementation rate: patent input achievement rate = patent value or mortgage credit amount/government input funds;
6. index of introduction: citation index = absolute total times a patent is cited by a subsequent patent;
the microscopic indexes such as the transaction turnover rate, the latest transaction amount, the patent growth rate and the like of the computing platform are helpful for monitoring the real-time patent transaction state of the platform. At the same time, they also show utilization and user traffic, thereby attracting more potential new users.
In addition, the dynamic index improves the effectiveness of trend analysis of investors, helps intellectual property with great value heterogeneity to realize price discovery, and helps to realize pricing and quantitative analysis based on risk management. The dynamic index as a target asset of the financial derivative changes along with market strength, and enhances market depth and liquidity at the application level.
The macroscopic index calculation formula is as follows: NII/rii=0.2x1+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 within the platform
X2 platform membership
X3 rate of realization =patent value or mortgage credit amount/government fund input
X4 mortgage success rate = success application mortgage patent/sum of application mortgage patents
X5 quote index = absolute total number of times a patent is quoted by a subsequent patent
X6 patent growth rate = number of patents the platform has increased in one month/number of patents in one month above
The utility model fully considers the indexes and provides a novel intellectual property transaction index evaluation support system based on big data processing, which comprises the following steps:
transaction data acquisition module: collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced times in the month and hour of the platform;
and a data preprocessing module: in the collected data, carrying out stable processing on the data, and eliminating abnormal values and repeated values;
the calculation module: calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent input realization rate and the quotation index, inserting the calculated value into an index page, and changing in real time;
the innovation index calculating module is used for: calculated by the formula:
NII/rii=0.2x1+0.17x2+0.16x3+0.17x4+0.14x5+0.16x6, and inserting the calculated value into the macro-index page; wherein X1 represents the sum of the RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents a deposit achievement rate, the deposit achievement rate=a patent value or mortgage credit amount/government deposit funds; x4 represents a mortgage success rate, a mortgage success rate = a sum of a successfully applied mortgage patent/an applied mortgage patent; x5 represents a citation index = the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, patent growth rate = number of patents that the platform has newly increased in one month/number of patents in the previous month;
map region representation module: different areas are distinguished on the map according to the innovation index of the areas by using the darkness of the colors, and the accumulated transaction amount of the areas is reflected by using light columns;
the chart making module: and (5) preparing an annual national innovation index industry ranking list, an annual national innovation index change chart and an annual province index ranking histogram.
By introducing macroscopic economic variables such as investment realization rate, we also created national and regional innovation index (NII/RII) consisting of six key indexes, the six index weights being calculated from the above data after regional classification. The national innovation index (National Innovative Index) and the regional innovation index (Regional Innovative Index) are drawn on a map according to the relative amount, and annual national innovation index industry ranking bars (utility model patent, utility model patent and design patent) and annual province index ranking bar graph displays are listed on the page to present the intellectual property development status of the country and each region.
The foregoing is only a preferred embodiment of the utility model, it being 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 present utility model, and such modifications and adaptations are intended to be comprehended within the scope of the utility model.
Claims (6)
1. A novel intellectual property transaction system and index evaluation system based on blockchain and big data technology, comprising:
step 1, a patent pool transaction data acquisition module: collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced times in the month and hour of the platform;
step 2, a data preprocessing module: in the collected data, carrying out stable processing on the data, and eliminating 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 input realization rate and the quotation index, inserting the calculated value into an index page, and changing in real time;
step 4, an innovation index calculating module: calculating national and regional innovation indexes NII/RII through a formula;
step 5, map area representation module: different areas are distinguished on the map according to the innovation index of the areas by using the darkness of the colors, and the accumulated transaction amount of the areas is reflected by using light columns;
step 6, a chart making module: making an annual national innovation index industry ranking list, an annual national innovation index change chart and an annual regional index ranking histogram;
in the step 4, the innovation index calculating module calculates the following method:
NII/RII=0.2X1+0.17X2+0.16X3+0.17X4+0.14X5+0.16X6 is calculated by the formula and the calculated value is inserted into the macroexponent page; wherein X1 represents the sum of the RMBs of all transactions currently within the platform; x2 represents the number of platform members; x3 represents a deposit achievement rate, the deposit achievement rate=a patent value or mortgage credit amount/government deposit funds; x4 represents a mortgage success rate, a mortgage success rate = a sum of a successfully applied mortgage patent/an applied mortgage patent; x5 represents a citation index = the absolute total number of times a patent is cited by a subsequent patent; x6 represents a patent growth rate, patent growth rate = number of patents that the platform has newly increased in one month/number of patents in the previous month.
2. The new intellectual property trading system and index evaluation system based on blockchain and big data technology according to claim 1, wherein in step 1, the utility model builds a patent trading platform based on blockchain and patent pool, comprising:
step 1-1, existing patent registration uplink: uploading patent information which is successfully registered in the national patent office to a blockchain, and determining the corresponding relation between the patent and a specific holder;
step 1-2, patent entering pool: providing pooling service for registered patents, and linking the pooling information of the patents;
step 1-3, putting into the market: after the step 2 is completed, the patent owner can sell the patent which is held by the owner and is not sold in the form of a hanging bill, and after relevant information is filled in and the platform is checked and passed, the sold patent enters the trade market in the form of an order;
step 1-4, purchase patent: the buyers screen patent lists according to the needs in the patent transaction market, select the patents which want to be purchased, fill in purchase information, draft contracts and complete purchase;
step 1-5, transaction information is uplink: packaging the transaction information purchased by the buyer in the step 4, storing the transaction information in a block, integrating and packaging the transaction information and uploading the transaction information to a block chain for storage and display, and inputting a hash block number for viewing;
step 1-6, platform transaction monitoring: and 5, using the transaction information in the step as background data statistics and analysis, and collecting all patent transaction data including user quantity, patent number, transaction quantity and introduced number of times within the month and hour of the platform.
3. The system for new intellectual property transaction and index evaluation based on blockchain and big data technology according to claim 1, wherein in step 2, the data preprocessing is to perform a smooth processing on the data, and reject 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, judging the rationality of data cleaning logically and empirically on the basis of data screening, optimizing and adjusting, and then selectively cleaning, namely 'selective cleaning on demand';
step 2-2, for the data which has been subjected to the stable processing and abnormal value elimination, we perform normalization processing, standardization processing and the like, so as to facilitate the subsequent display and calculation of the index.
4. The new intellectual property transaction system and index evaluation system based on blockchain and big data technology according to claim 1, wherein in the step 3, the calculation module calculates the method as follows: calculating the latest transaction amount, the user amount, the platform transaction turnover rate, the patent growth rate, the patent input realization rate and the quotation index, inserting the calculated value into an index page, and changing in real time;
step 3-1, the latest transaction amount calculated by the calculation module is the sum of the RMB amounts of all the current transactions;
step 3-2, the user quantity calculated by the calculation module is the total user quantity of the platform;
step 3-3, the method for calculating the platform transaction turnover rate calculated by the calculation module is as follows: platform transaction turnover = per hour patent volume/total number of hanging patents in patent pool x100%;
step 3-4, the method for calculating the patent growth rate by the calculation module comprises the following steps: patent growth rate = number of patents newly added in one month/number of patents in previous month x100%;
step 3-5, the method for calculating the patent input realization rate by the calculation module comprises the following steps: patent input achievement rate = patent value or mortgage credit amount/government input funds;
step 3-6, the method for calculating the quotation index by the calculation module comprises the following steps: citation index = absolute total times a patent is cited by a subsequent patent.
5. The new intellectual property transaction system and index evaluation system based on blockchain and big data technology according to claim 1, wherein in the step 5, the map area representation module manufacturing method is as follows:
step 5-1, distinguishing different areas on the map according to the innovation index of the areas by using the depth of the color, and reflecting the accumulated transaction amount of the areas by using light columns;
and 5-2, updating data on the map in real time according to the transaction information achieved by the platform, wherein 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 picture.
6. The new intellectual property trading system and index rating system based on blockchain and big data technology of claim 1, wherein in step 6, the diagramming module is designed as follows:
step 6-1, preparing a annual national innovation index industry ranking list according to the national innovation index ranking, and carrying out annual listing in three dimensions of utility model, practical innovation and appearance design;
step 6-2, preparing a annual national innovation index change map according to the annual national innovation index, showing the change of the national innovation level in the last three years, and providing industrial guiding opinion;
and 6-3, preparing an index ranking histogram of each region of the year according to the innovation index of each province of the year, and intuitively displaying the distribution condition of the region of the national innovation level in a chart, thereby being beneficial to policy coordination and resource allocation.
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| CN202010262228.3A CN112084175B (en) | 2020-04-06 | 2020-04-06 | Novel intellectual property transaction system and index evaluation system based on blockchain and big data technology |
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