CN111353673B - Judgment system for blockchain project - Google Patents
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Abstract
The invention provides a judging system for a blockchain project, which comprises a first information acquisition unit, a second information acquisition unit, a first operation unit, a second operation unit and a judging unit; the first information acquisition unit and the second information acquisition unit respectively acquire inherent information about the attribute of the blockchain item and interaction information between the blockchain item and an external user, the first operation unit and the second operation unit respectively calculate and obtain a first grading value M1 and a second grading value M2 based on the inherent information and the interaction information, and finally the evaluation system calculates and obtains an overall evaluation index value Q about the blockchain item based on the first grading value M1 and the second grading value M2.
Description
Technical Field
The invention relates to the technical field of computer networks, in particular to a judging system for blockchain projects.
Background
With the development and update of internet technology, blockchains are becoming an innovative technology in the internet and gradually enter people's life and work. The blockchain is a decentralized, non-tamperable, traceable and multiparty commonly maintained distributed database, which can integrate a plurality of independent databases which are maintained by a traditional unilateral and only relate to self business, and is stored in a distributed manner on a plurality of nodes commonly maintained by the multiparty, wherein any party cannot obtain single complete control right on the databases. It is the block chain that has the above-mentioned characteristics, many internet projects or financial investment projects are all developed based on the block chain technology, and this kind of internet projects or financial investment projects based on the block chain technology have higher security and more accurate pertinence than traditional development projects, so that can provide the investment mode of low risk and high return for relevant participants.
With development and popularization of the blockchain technology, the number and the scale of the existing blockchain related investment projects are different, but not all potential investors have corresponding degree of blockchain technical knowledge, most potential investors can only select corresponding blockchain projects to invest based on fragmented information or other unproven information, the decision mode does not have scientificity and accuracy, meanwhile, the fact that investors can correctly know the actual conditions of different blockchain projects cannot be guaranteed, and the blockchain industry needs a judgment system or judgment system capable of scientifically and accurately scoring different blockchain projects. The scoring mechanism existing in the existing internet, such as bean scoring or group scoring, can only collect and score popular opinions in a single field such as movies or food, the number of scoring items is too small, the scoring mode is too simple, and the scoring mechanism is not suitable for blockchain items with complex attributes to obtain scientific and objective scoring. The current blockchain industry only simply lists the real-time price and the rising and falling amplitude of the blockchain in a mode similar to stock quotes, and the mode does not judge and score different blockchain projects, so that investors cannot obtain visual scoring results about different blockchain projects.
Disclosure of Invention
At present, the blockchain industry can only simply list and display the prices and the rising and falling magnitudes of different blockchain projects, the display mode can not exclude the stir-fried ingredients of the blockchain projects to reflect the real values of the different blockchain projects, and investors without blockchain related knowledge cannot obtain the most intuitive scoring results of the different blockchain projects from the display mode and make scientific and correct decisions, so that the development of the blockchain industry is not facilitated, and the investors are easily misled by external factors.
Aiming at the defects of the prior blockchain industry on a blockchain judging mode, the invention provides a judging system for blockchain projects, which obtains inherent information of the blockchain projects and external interaction information for different scoring projects related to the blockchain projects, obtains the scoring value related to the blockchain projects based on the inherent information and the interaction information by means of a corresponding calculation method, and in addition, the judging system gathers the formed historical curve related to the scoring value through the scoring of vast external users and the change condition of the scoring based on the external users with time, thereby ensuring the scientificity and fairness of the scoring process of the judging system, and also accurately reflecting the true value of the blockchain projects and providing scientific and objective references for investors.
The invention provides a judging system for a blockchain project, which can provide an acquisition interaction port of running state information about the blockchain project so as to realize real-time monitoring of the blockchain project, and is characterized by comprising a first information acquisition unit, a second information acquisition unit, a first operation unit, a second operation unit, a storage unit and a judging unit, and the judging system for the blockchain project is characterized in that:
the first information acquisition unit is used for acquiring inherent information about the attribute of the blockchain item and storing the inherent information into a first cache channel of the storage unit;
the second information acquisition unit is used for acquiring interaction information between the blockchain item and an external user and storing the interaction information into a second cache channel of the storage unit;
the first operation unit can perform picking of all data or part of data on the inherent information at specific time intervals from the first cache channel, and calculate and obtain a first grading value M1 related to the blockchain item by combining a first algorithm based on the picked data;
the second operation unit can pick all or part of data of the interaction information from the second cache channel at specific time intervals, and calculate and obtain a second grading value M2 related to the blockchain item by combining a second algorithm based on the picked data;
the evaluation unit can calculate and obtain an overall evaluation index value Q about the blockchain item according to the first evaluation value and the second evaluation value;
further, the specific process of the first information obtaining unit obtaining the inherent information is that the first information obtaining unit sends an access request to an internet terminal, and the internet terminal determines whether the access request is legal or not; if the access key is legal, the internet terminal returns an access key to the first information acquisition unit, then the first information acquisition unit generates an inherent information pickup list taking the access key as index information and sends the inherent information pickup list to the internet terminal, and the internet terminal feeds back the inherent information to the first information acquisition unit based on the inherent information pickup list; if not, the internet terminal terminates the access right of the first information acquisition unit;
further, the first information obtaining unit obtaining the inherent information includes obtaining at least one parameter of a real-time price, a circulation market value, a project price fluctuation range, a project type attribute, a project market liquidity index, a flowing fund parameter, a popular concept index, a project market share, an online search heat index, an application scenario index, or a 24-hour chain performance index with respect to the blockchain project;
further, the specific process of calculating and obtaining the first grading value M1 about the blockchain item by the first operation unit based on the picked data and the first algorithm is as follows: the first operation unit performs appraising processing on each parameter in the inherent information to obtain a corresponding number of parameter scores P1, P2, … and Pi, wherein i is the number of the parameters, the number of parameter scores P1, P2, … and Pi respectively have respective highest values P1max, P2max, … and Pimax, and P1max+P2max+ … +Pimax is less than or equal to Psum, wherein Psum represents the maximum value of SUM SUM corresponding to P1max and P2max … Pimax, and the first operation unit can convert the SUM SUM corresponding to the number of parameter scores P1, P2, … and Pi into the first score value M1;
further, the specific process of the second information obtaining unit obtaining the interaction information is that the second information obtaining unit is in communication connection with a plurality of equipment terminals to form a distributed information feedback channel network, different external users can feed back scores for a plurality of catalogues in the blockchain project to the second information obtaining unit through the corresponding equipment terminals, the second operation unit firstly calculates the sum of scores for a plurality of catalogues in the blockchain project, then calculates an actual score value X based on the second algorithm and the sum of scores of a plurality of catalogues, and then converts the actual score value X into a second score value M2;
further, the number of catalogs pertaining to the blockchain project specifically includes at least one of reliability, ease of use, scalability, maintainability, compatibility, progress tracking, market popularity, functionality, performance efficiency, security, team, breakthrough, structural framework, ecological operating conditions, or allocation schemes of the blockchain project;
further, the specific process of calculating the actual grading value X by the second operation unit is that the second operation unit calculates four parameters including a difficulty coefficient a, a layering value B, a drop value C and a sum D of scores of all external users corresponding to the plurality of directories according to the second algorithm, wherein the layering value b=the difficulty coefficient a, the drop value C and the sum d=d1+d2+ … +dk, wherein k is the number of the external users, and then the second operation unit calculates and obtains the actual grading value X according to an algorithm table defined by the second algorithm;
further, the specific process of calculating the actual scoring value by the second computing unit further includes determining the sum D, if D is less than or equal to Dthres, where Dthres represents a preset sum threshold, the second computing unit calculates the actual scoring value X according to the second algorithm and the sum D, and if D > Dthres, the second computing unit calculates the actual scoring value X according to the second algorithm, the difficulty coefficient a, the layering value B, the drop value C, and the sum D;
further, the first computing unit and the second computing unit may obtain a plurality of corresponding first score values M11, M12 … M1j and second score values M21, M22 … M2j at the same time interval within the same time period, and calculate a first score average value M1ave and a second score average value M2ave within the time period according to the same time interval, where m1ave= (m11+m12+ … +m1j)/j, m2ave= (m21+m22+ … +m2j)/j, and calculate the overall evaluation index value Q, q=m1ave+m2ave according to the following formula;
further, the evaluation system further includes a display unit capable of displaying an evaluation result of the evaluation system with respect to the blockchain item, wherein the evaluation result includes a distribution condition of the overall evaluation index value Q of the blockchain item within a specific history time interval and a change trend prediction graph of the overall evaluation index value Q of the blockchain item.
Compared with the prior art, the evaluation system for the blockchain project provided by the invention requires external users to fill in corresponding scoring reasons while submitting the scoring values, and after the scoring values and the scoring reasons are audited by professionals, web pages are shown by the scoring values and the scoring reasons after the auditing is passed, so that all historical scoring values and the scoring reasons thereof can be queried and traced, and the scoring acquisition process has the advantage of transparency disclosure; in addition, the evaluation system realizes the evaluation of the blockchain project based on the scores of the vast outside users, so that the influence of subjective factors in the scoring process of the outside users can be effectively reduced; meanwhile, the original score values corresponding to a plurality of scoring items are used as the basis, and the subjective human factors existing in the scoring process of the scoring items from the outside are removed to the maximum extent by means of a complex score calculation mechanism, so that the evaluation system can calculate and obtain scientific and objective scoring results about different blockchain items.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system for evaluating blockchain items according to an embodiment of the invention.
FIG. 2 is a flowchart illustrating an embodiment of a system for evaluating blockchain items.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.
Referring to fig. 1, a schematic structure diagram of a judging system for blockchain items according to an embodiment of the invention is shown. The judging system for the blockchain comprises a first information acquisition unit, a second information acquisition unit, a first operation unit, a second operation unit, a storage unit and a judging unit. The judging system for the blockchain project can execute judging and scoring operation on various technical indexes of the blockchain project by the various technical indexes through a corresponding data statistics method, the result of the judging and scoring operation can be used for judging important reference indexes of whether the blockchain project is good or bad, and the result of the judging and scoring operation can also be used as a direct objective parameter for users to know characteristics of the blockchain project. Because the judging system for the blockchain project needs to update and reflect the conditions of different blockchain projects in time, the judging system comprises an acquisition interaction port for the running state information of the blockchain project about a system, wherein the running state information can comprise, but is not limited to, the information such as the real-time price, the fluctuation range, the transaction stopping or not of the blockchain, and the like, so that the real-time monitoring of the blockchain project is realized, and the judging result of the judging system is ensured to be updated in time and the problem of time lag does not exist.
Briefly, the evaluation system for a blockchain project performs a scoring operation based on data such as intrinsic information of the attribute of the blockchain project and interaction information between an external user and the blockchain project, and accordingly, the evaluation system includes a first information acquisition unit for acquiring intrinsic information about the attribute of the blockchain project and a second information acquisition unit for acquiring interaction information about the blockchain project and the external user. Correspondingly, the first information acquisition unit can store the inherent information into a first cache channel of a storage unit, and the first operation unit can calculate a first grading value M1 based on the inherent information and according to a first algorithm; the second information obtaining unit can store the interaction information into a second cache channel of the storage unit, and the second computing unit can calculate a second grading value M2 based on the interaction information and according to a second algorithm. Finally, the judging unit of the judging system can calculate an overall judging index value Q about the blockchain item according to the first grading value M1 and the second grading value M2; preferably, the calculation process of the overall evaluation index value Q may be q=m1+m2; preferably, the overall evaluation index value Q may adopt, but is not limited to, a scoring mode such as a percentile or a ten-way score; preferably, when the overall evaluation index value Q is 100, the first and second score values M1 and M2 may have values of 0.ltoreq.M1.ltoreq.40, 0.ltoreq.M2.ltoreq. 60,0.ltoreq.Q.ltoreq.100. Regardless of the scoring mode adopted by the overall evaluation index value Q, as long as the overall evaluation index value Q is higher, the corresponding blockchain item real value and quality level are also higher.
Specifically, the specific process of the first information obtaining unit obtaining the intrinsic information may include that the first information obtaining unit sends an access request to an internet terminal to which the blockchain item belongs, after the internet terminal receives the access request, it first determines whether the access request has validity, where the validity refers to whether the first information obtaining unit has the authority to obtain the intrinsic information, if the internet terminal determines that the access request has validity, an access key is fed back to the first information obtaining unit, and if the internet terminal determines that the access request does not have validity, the internet terminal interrupts a communication link with the first information obtaining unit to terminate the access authority of the first information obtaining unit. Then, after the first information acquisition unit receives the access key, generating an intrinsic information pickup list with index information, wherein the intrinsic information pickup list contains intrinsic information about the attribute of the blockchain item, which the first information acquisition unit allows to obtain, belonging to different types of parameters, so that the parameters are packed to form final intrinsic information; preferably, the different types of parameters may include, but are not limited to, at least one of real-time prices, circulation market values, item price rise and fall magnitudes, item type attributes, item market liquidity index, liquidity parameters, popular concept index, item market share, online search popularity index, application scenario index, or 24 hour chain performance index of the item.
In addition, the first information acquisition unit is further capable of saving the obtained intrinsic information in a first cache passage of a storage unit, the first cache passage belonging to a dedicated storage passage of the intrinsic information, and the intrinsic information being stored in the first cache passage in a time sequence in which it is acquired by itself. Then, the first computing unit can perform picking of all or part of the data of the stored inherent information in the first buffer channel at a specific time interval or frequency, and then calculate the first grading value M1 by combining the data obtained by the picking with a first algorithm. The calculation process of the first arithmetic unit may include: the first operation unit performs appraising processing on each parameter of the inherent information to obtain a corresponding number of parameter scores P1, P2, … and Pi, wherein i is the number of parameters in the inherent information, the number of parameter scores P1, P2, … and Pi respectively have respective highest values P1max, P2max, … and Pimax, and P1max+P2max+ … +Pimax is less than or equal to Psum, wherein Psum represents that P1max and P2max … Pimax correspond to the maximum value of SUM SUM, and preferably Psum can be any positive number; then, the first computing unit calculates the first score value M1 according to a formula defined by the first algorithm, preferably, the formula defined by the first algorithm may be m1=40 (p1+p1+ … +pi)/Psum.
For example, the first computing unit can determine the circulation market value, recent performance, fund attention, liveness, project type, popular concept, liquidity, search index, data on 24 hours chain and application scene of the blockchain, and the highest scores corresponding to the intrinsic information subparameters are 31 score, 51 score, 26 score, 51 score, 27 score, 10 score, 21 score, 36 score, 32 score and 44 score respectively, and the Psum corresponds to 329, so that the first computing unit can calculate the corresponding first score M1 according to the actual determination result of the different parameters in the intrinsic information and by combining the formula m1=40 (p1+p1+ … +pi)/Psum.
Specifically, the specific process of the second information obtaining unit obtaining the interaction information may include: the second information acquisition unit is in communication connection with a plurality of equipment terminals to form a distributed information feedback channel network, wherein the equipment terminals can be, but not limited to, smart phones or tablet personal computers and other portable mobile terminals, so that communication interaction between a user and the second information acquisition unit can be ensured at any time and any place through the equipment terminals, and the distributed information feedback channel network can effectively improve the acquisition speed and the acquisition range of interaction information; the external users feed back a plurality of catalogue scores related to the blockchain project to the second information acquisition unit through corresponding equipment terminals, and the second information acquisition unit can calculate an actual score value X by combining the second algorithm based on the number of the external users performing feedback operation and the sum of scores of each external user in the plurality of catalogues, and then convert the actual score value X into a second score value M2. Preferably, the calculation formula of the second score value M2 may be m2=60×x/Grade, where the parameter Grade may be any positive number, for example Grade may be 255.
For example, when one or more outside users feedback to the second information acquisition unit, the outside users may score according to at least one of the categories of team, breakthrough, structural framework, ecological operation, allocation scheme, progress tracking, market popularity, performance efficiency, scalability, maintainability, functionality, security, reliability, ease of use, compatibility, etc. of the blockchain; preferably, the highest score value corresponding to the listed catalogue may be set according to actual needs, for example, the highest score value corresponding to the listed catalogue may be 23, 12, 18.5, 10.5, 5.5, 10, 12, 21, 14, 45.5, 38, 11, 14, 8, and the sum of scores of all the catalogues for a single external user is 255.
Further, the second score M2 is substantially calculated based on the catalogue indexes of team, breakthrough, structure frame, ecological operation, allocation scheme, progress tracking, market popularity, performance efficiency, expandability, maintainability, functionality, security, reliability, usability, compatibility, etc. of the blockchain. In the algorithm calculation process, the calculation proportion of different catalogue indexes relative to the second grading value M2 is different, so that in order to determine the importance degree of different catalogue indexes in the blockchain project judgment process, the blockchain project is subjected to deeper analysis judgment, and the judgment system further performs importance degree analysis and sorting processing on different catalogue indexes through a corresponding algorithm model, so that the calculation process of the second grading value M2 is further optimized. Preferably, the evaluation system selects the more critical directory index in the blockchain project through a normalized linear model, which may be specifically referred to as a blockchain system evaluation directory index importance model. The linear model can also find out the evaluation catalog index with higher importance, and is also helpful for optimally predicting the second grading value M2.
In order to obtain a more scientific and accurate second score value M2, before calculating the second score value M2, a modeling mode needs to be adopted to determine what directory index in the blockchain item has more important relevance to the second score value M2, wherein the main idea of the modeling mode is that whether the corresponding directory index is worth preserving is finally determined after comparing and judging each importance coefficient value, preferably, by setting an importance coefficient threshold value, the importance coefficient threshold value can be 5%, and the like, if the importance coefficient value is lower than the importance coefficient threshold value, the corresponding directory index is not worth preserving, and if the importance coefficient value is lower than the importance coefficient threshold value, the corresponding directory index is not worth preserving, the corresponding directory index is removed from the final directory set.
Preferably, the scoring range of the evaluating system for different directory indexes can be set according to actual needs, for example, the scoring range can be 1-5 points, or 1-7 points, or 1-10 points, etc., and it is found by calculation that the specific numerical range of the scoring range is not directly related to the size and ordering relation of the directory index weights in practice, so that the weight vectors of different directory indexes can be obtained by using the blockchain system to evaluate the directory index importance model, and the size of the weight vectors is ordered, thereby determining the important directory indexes.
In order to construct the index importance model of the blockchain system evaluation catalog, firstly, corresponding modeling data are required to be prepared and divided into three different data sets, and accordingly, the first data set is a training data set which accounts for 50% of the whole modeling data, the second data set is a verification data set which accounts for 20% of the whole modeling data, and the third data set is a test data set which accounts for 30% of the whole modeling data; the training data set is used for constructing a linear model, the verification data set is used for searching the optimal parameters of the linear model, and the test data set is used for detecting the rationality of the linear model and verifying the operation effect of the linear model. The specific construction process of the blockchain system evaluation catalog index importance model comprises the following steps:
in the evaluation systemAssuming that there are m directory indexes scoring the blockchain item, when the external user scores each directory index, a directory index score vector x= [ x ] is correspondingly formed 1 ,x 2 ,...,x m ] T Before determining the importance of different catalogue indexes, external users need to give out the overall evaluation of the blockchain project through a questionnaire and give out the evaluation result in the form of score to each catalogue index, and the important catalogue indexes are determined based on the evaluation result; assume a score x for the ith directory index i The corresponding weight is w i Then a weight vector w= [ w ] can be obtained 1 ,w 2 ,..,w m ] T While the function for evaluating the overall score of a blockchain entry can be assumed to be a linear function f (x) =w T x, L is performed on the linear function f (x) 2 Optimization of norm regularization, while assuming that the loss function is L, then an optimized expression for the weight vector w is obtained:
for the optimized expression, the optimized result is that the optimized expression takes the minimum value and corresponds to a w vector, wherein n represents n evaluation records, the evaluation records refer to one time scoring data record of an external user on a certain blockchain item, L represents a loss function, lambda represents a weight parameter, w represents a weight vector, and y i Representing the overall score rating given by an outside user for a particular blockchain item,
in particular, the choice of λ is determined by the validation data set and preferably enables to generate, as parameters of the final importance model, the parameter λ optimally combined; the loss function L is defined as +.>
Wherein (1)>
The expression vector, namely the score vector of the directory index in an external user evaluation record, and y represents the overall evaluation of the scoring form given by the external user to a certain blockchain project, wherein the scoring form of the overall evaluation can be set according to actual needs and is not an indispensable factor for determining the importance of the directory index.
L is performed on the linear function f (x) 2 The specific procedure for optimization of norm regularization comprises:
the weight vector w is optimally expressed as
Conversion of the optimized expression into a loss function L description results in +.>
Wherein X represents an N X M matrix of external user evaluation, each row in the matrix X represents an evaluation record, each column represents a score vector of a directory index, and the expression of the matrix X is +.>
w represents the weight vector of the directory index, i.e. w= [ w ] 1 ,w 2 ,..,w m ] T Y represents the overall scoring vector for a blockchain entry from n outside users, the symbol T represents the transpose of the matrix, ">
From this formula
Gradient function capable of solving weight vector w
Let G w =0, and the solution of the weight vector w is obtained, specifically,
i.e. X T (Xw-Y) +nλw=0, and solving this equation results in a final weight vector w being
w＝(X T X+nλI) -1 (X T Y)
Wherein X represents an n×m matrix of external user evaluations, N represents N evaluation records, λ represents a weight parameter, which can be adjusted according to actual needs, I is a matrix with m×m diagonal lines of 1, and symbol T represents a transpose of the matrix. It can be seen that the weight vector w obtained finally is an mx 1 vector, and can be obtained by actually calculating the matrix X for the external user evaluation and the overall scoring vector Y of the external user for a certain blockchain item. However, the value of the weight parameter λ plays a very critical role in optimizing the importance model during the actual application of the importance model, preferably, the weight parameter λ can take any value between 0 and 1, and the minimum two Fan Shi w of the weight vector w is | 2 In the calculation process, the weight parameter lambda can be updated by using 0.01 or other step values and the importance model is fitted on the verification data combination, namely the weight parameter lambda is changed by the preset step value, so that
With a minimum value.
Therefore, by calculating the weight vectors of different directory indexes, it can be determined that those directory indexes in the directory index set belong to the directory index most concerned by the external user, and accordingly, the directory index is retained in the directory index set and becomes the directory index required for obtaining the second grading value M2; through data training and verification of the importance model in the early stage, the directory indexes with higher importance, which are applicable by the judging system, comprise teams, breakthrough, structural frames, ecological operation, allocation schemes, progress tracking, market heat, performance efficiency, expandability, maintainability, functionality, safety, reliability, usability, compatibility and the like of the blockchain, namely the directory indexes are directory indexes which are concerned by external users, and each directory index has corresponding weight.
The operation of ranking the importance of the directory index applied in the evaluation system has several advantages: the blockchain system evaluation catalog index importance model is a linear model which can be conveniently realized in a computer and has a very solid theoretical basis; the block chain system evaluation directory index importance model can rapidly screen directory indexes with higher importance and reject directory indexes with lower importance, so that the directory indexes are accurately determined; in the practical process, the application of the block chain system evaluation catalog index importance model can effectively improve the efficiency and accuracy of calculating the second grading value M2 by the evaluation system.
In addition, the specific process of calculating the actual scoring value X by the second computing unit may include that the second computing unit calculates four parameters including a difficulty coefficient a, a layering value B, a drop value C, and a sum D of scores of all external users corresponding to the plurality of directories according to the second algorithm, where the layering value b=the difficulty coefficient a is the drop value C, the sum d=d1+d2+ … +dk, where k is the number of the external users, and then the second computing unit calculates the actual scoring value X according to an algorithm table defined by the second algorithm; further, the specific process of calculating the actual scoring value by the second computing unit further includes determining the sum D, if D is less than or equal to Dthres, where Dthres represents a preset sum threshold, the second computing unit calculates the actual scoring value X according to the second algorithm and the sum D, preferably, when x=d, and if D > Dthres, the second computing unit calculates the actual scoring value X according to the second algorithm, the difficulty coefficient a, the layering value B, the fall value C, and the sum D. For example, the second algorithm calculates the actual scoring value X according to an algorithm table, which is preferably as follows:
as can be seen from the above algorithm table, the difficulty coefficient a is preset in the second algorithm, and there is a positive correlation between the difficulty coefficient a and the sum D, and the higher the value of the sum D, the higher the value of the difficulty coefficient a corresponds to, wherein when the sum D is less than or equal to 30, the difficulty coefficient a=1, and the actual score value X is related to the sum D only, i.e. the actual score value x=d; when the sum D >30, the actual score value X is related to the hierarchical value B, the drop value C and the sum D at the same time; in addition, the second operation unit can automatically generate an algorithm table of five parameters, namely the difficulty coefficient A, the layering value B, the drop value C and the sum D, according to the second algorithm under the condition that the sum D >30, and directly output the corresponding actual grading value X under the condition that the sum D is given by a table look-up method, so that the calculation convenience of the actual grading value X is greatly improved.
In addition, in order to reduce the influence of the random factor on the operation of the evaluation system, the first computing unit and the second computing unit may acquire several corresponding first score values M11, M12 … M1j and second score values M21, M22 … M2j at the same time interval within the same time period, respectively, and calculate a first score average value M1ave and a second score average value M2ave within the time period, where m1ave= (m11+m12+ … +m1j)/j, m2ave= (m21+m22+ … +m2j)/j, and calculate the overall evaluation index value Q according to formula (3) q=m1ave+m2 ave, preferably, the overall evaluation index value Q may have a value range of 0 Σ or less than or equal to 100.
In addition, in order to enable the external users to timely and intuitively obtain the judging results of the judging system on different blockchain projects, the judging system can further comprise a display unit, and the display unit can display the judging results of the judging system on the blockchain projects; the judging result comprises the distribution condition of the overall judging index value Q of the blockchain project in a specific historical time interval and a change trend prediction chart of the overall judging index value Q of the blockchain project. Through the judging result, external users can intuitively obtain the development conditions and trends of the history, the current and the future of different blockchain projects.
Referring to fig. 2, a workflow diagram of a system for evaluating blockchain items according to an embodiment of the present invention is provided. The workflow of the evaluation system mainly comprises five steps of acquiring inherent information by a first information acquisition unit, acquiring interactive information by a second information acquisition unit, acquiring a first grading value M1 by a first operation unit, acquiring a second grading value M2 by a second operation unit, and acquiring an overall evaluation index value Q by an evaluation unit, wherein the specific implementation process of each step is the same as that of the description, and further description is omitted.
According to the embodiment, the evaluation system for the blockchain items can be used for carrying out original scoring on the corresponding blockchain items through different scoring items, and obtaining the scoring value of the blockchain items by means of a corresponding calculation mode according to the original scoring result, so that subjective thinking factors existing in the original scoring process of the blockchain items can be effectively eliminated, and the scoring result of the evaluation system can accurately reflect the true value of the blockchain items, so that scientific and objective references are provided for investors.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A system for evaluating a blockchain project, the system for evaluating a blockchain project being capable of providing an acquisition interaction port for operational status information of a blockchain project to enable real-time monitoring of the blockchain project, the system comprising a first information acquisition unit, a second information acquisition unit, a first operation unit, a second operation unit, a storage unit and an evaluation unit, the system being characterized in that:
the first information acquisition unit is used for acquiring inherent information about the attribute of the blockchain item and storing the inherent information into a first cache channel of the storage unit;
the second information acquisition unit is used for acquiring interaction information between the blockchain item and an external user and storing the interaction information into a second cache channel of the storage unit; the first operation unit can perform picking of all data or part of data on the inherent information at specific time intervals from the first cache channel, and calculate and obtain a first grading value M1 related to the blockchain item by combining a first algorithm based on the picked data;
the second operation unit can pick all or part of data of the interaction information from the second cache channel at specific time intervals, and calculate and obtain a second grading value M2 related to the blockchain item by combining a second algorithm based on the picked data;
the evaluation unit can calculate and obtain an overall evaluation index value Q about the blockchain item according to the first evaluation value and the second evaluation value;
the specific process of the first information acquisition unit acquiring the inherent information is that the first information acquisition unit sends an access request to an internet terminal, and the internet terminal determines whether the access request is legal or not; if the access key is legal, the internet terminal returns an access key to the first information acquisition unit, then the first information acquisition unit generates an inherent information pickup list taking the access key as index information and sends the inherent information pickup list to the internet terminal, and the internet terminal feeds back the inherent information to the first information acquisition unit based on the inherent information pickup list; if not, the internet terminal terminates the access right of the first information acquisition unit;
the first information acquisition unit acquiring the inherent information includes acquiring at least one parameter of a real-time price, a circulation market value, a project price fluctuation range, a project type attribute, a project market liquidity index, a flowing fund parameter, a popular concept index, a project market share, an online search heat index, an application scene index, or a 24-hour chain performance index with respect to the blockchain project;
the specific process of the first computing unit calculating and obtaining the first grading value M1 about the blockchain item based on the picked data and the first algorithm is as follows: the first operation unit performs appraising processing on each parameter in the inherent information to obtain a corresponding number of parameter scores P1, P2, … and Pi, wherein i is the number of the parameters, the number of parameter scores P1, P2, … and Pi respectively have respective highest values P1max, P2max, … and Pimax, and P1max+P2max+ … +Pimax is less than or equal to Psum, wherein Psum represents the maximum value of SUM SUM corresponding to P1max and P2max … Pimax, and the first operation unit can convert the SUM SUM corresponding to the number of parameter scores P1, P2, … and Pi into the first score value M1;
the specific process of the second information obtaining unit obtaining the interactive information is that the second information obtaining unit is in communication connection with a plurality of equipment terminals to form a distributed information feedback channel network, different external users can feed back scores for a plurality of catalogues in the blockchain project to the second information obtaining unit through corresponding equipment terminals, the second operation unit firstly calculates the sum of scores for a plurality of catalogues in the blockchain project, then calculates an actual score value X based on the second algorithm and the sum of scores of the catalogues, and then converts the actual score value X into a second score value M2.
2. The judgment system for blockchain projects of claim 1, wherein the number of catalogs for the blockchain project specifically includes at least one of reliability, ease of use, scalability, maintainability, compatibility, progress tracking, market popularity, functionality, performance efficiency, security, team, breakthrough, structural framework, ecological operating conditions, or allocation schemes of the blockchain project.
3. The evaluation system for blockchain projects according to claim 1, wherein the specific process of the second computing unit calculating the actual scoring value X is that the second computing unit calculates four parameters, namely, a difficulty coefficient a, a layering value B, a drop value C, and a sum D of scores of all external users corresponding to the plurality of directories according to the second algorithm, wherein the layering value b=the difficulty coefficient a, the drop value C, and the sum d=d1+d2+ … +dk, wherein k is the number of the external users, and then the second computing unit calculates the actual scoring value X according to an algorithm table defined by the second algorithm.
4. The judging system for blockchain projects as in claim 3, wherein the specific process of calculating the actual scoring value by the second computing unit further includes first determining the sum D, if D is less than or equal to Dthres, wherein Dthres represents a preset sum threshold, the second computing unit calculates the actual scoring value X according to the second algorithm and the sum D, and if D > Dthres, the second computing unit calculates the actual scoring value X according to the second algorithm, the difficulty factor a, the layered value B, the fall value C, and the sum D.
5. The judging system for blockchain projects according to claim 1, wherein the first and second arithmetic units are capable of acquiring a plurality of corresponding first score values M11, M12 … M1j and second score values M21, M22 … M2j at the same time intervals within the same time period, respectively, and calculating therefrom a first score average value M1ave and a second score average value M2ave within the time period, wherein M1ave= (M11+M12+ … +M1j)/j, M2ave= (M21+M22+ … +M2j)/j, and calculating therefrom the overall judgment index value Q according to the following formula,
Q＝M1ave+M2ave。
6. the evaluation system for a blockchain project according to claim 1, further comprising a display unit capable of displaying an evaluation result of the evaluation system with respect to the blockchain project, wherein the evaluation result includes a distribution of the overall evaluation index value Q of the blockchain project within a specific historical time interval and a change trend prediction graph of the overall evaluation index value Q of the blockchain project.
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