CN112702410B - Evaluation system, method and related equipment based on blockchain network - Google Patents
Evaluation system, method and related equipment based on blockchain network Download PDFInfo
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Abstract
The embodiment of the application discloses an evaluation system, a method and related equipment based on a blockchain network, which can be applied to medical platforms, in particular to group risk evaluation, wherein the method comprises the following steps: receiving a data acquisition request sent by an evaluation platform, wherein the data acquisition request carries identification information of a target object and a digital signature of the evaluation platform; verifying the evaluation platform according to the digital signature; if the verification is passed, target data corresponding to the target object stored in advance is obtained from the blockchain according to the identification information of the target object, and the target data is returned to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By adopting the mode, the anti-tampering technical characteristic of the blockchain storage can be combined, the evaluation method for preventing data from being tampered and improving the safety and reliability of the data is provided, and the reliability and accuracy of the evaluation result are improved.
Description
Technical Field
The present application relates to the field of block storage systems, and in particular, to an evaluation system, method and related device based on a blockchain network.
Background
With the rapid development of internet technology, users can inquire a large amount of consultation information from a webpage or a network database before making a behavior decision, evaluate the object of the behavior decision according to the consultation information, and adjust their behavior decision according to the evaluation result. For example, a job seeker or investor of an enterprise typically needs to query or obtain the enterprise consulting information to learn about the development or business status of the enterprise so that he or she can later make specific decisions about the job seeker or investment of the enterprise. However, because the internet information is good and bad, and the data is at risk of being tampered by lawbreakers, the reliability and accuracy of the evaluation result are reduced due to the fact that the data is easy to tamper due to insufficient security.
Therefore, how to provide a safe and reliable data evaluation method to improve the reliability and accuracy of the evaluation result is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides an evaluation method and device based on a blockchain network, node equipment and a storage medium, which improve the safety and reliability of data, thereby improving the reliability and accuracy of an evaluation result.
In a first aspect, an embodiment of the present application provides a blockchain network-based evaluation system, where the blockchain network-based evaluation system includes an evaluation platform for evaluating a target object, a user terminal device for receiving an evaluation result corresponding to the target object, and a node device in the blockchain network, where:
The user terminal equipment is used for sending an evaluation request aiming at the target object to the evaluation platform and receiving an evaluation result sent after the evaluation platform evaluates the target object;
The evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, evaluating the target object according to an AHP (advanced high-performance) analytic hierarchy process, a Z-value model method and the target data, and sending an evaluation result of the target object to the user terminal equipment;
The node equipment is used for receiving the data acquisition request, acquiring target data corresponding to the target object stored in advance from a blockchain according to the data acquisition request, and sending the target data to the evaluation platform.
In a second aspect, an embodiment of the present application provides a blockchain network-based evaluation method, which is performed by a node device in a blockchain network-based evaluation system, where the blockchain network-based evaluation system further includes an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, and the method includes:
Receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and a digital signature of the evaluation platform;
Verifying the evaluation platform according to the digital signature;
and if the verification is passed, acquiring target data corresponding to the target object stored in advance from a blockchain according to the identification information of the target object, and returning the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In a third aspect, an embodiment of the present application provides a blockchain network-based evaluation device, where the device is disposed in a node device in a blockchain network-based evaluation system, and is used for an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, where the blockchain network-based evaluation device includes:
The acquisition module is used for receiving a data acquisition request sent by the evaluation platform, wherein the data acquisition request carries identification information of the target object and a digital signature of the evaluation platform;
the processing module is used for verifying the evaluation platform according to the digital signature;
The acquisition module is further used for acquiring target data corresponding to the target object from a blockchain according to the identification information of the target object if the verification is passed;
and the output module is used for sending the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In a fourth aspect, an embodiment of the present application provides a node device, including a processor, a storage device, and a communication interface, where the processor, the storage device, and the communication interface are connected to each other, where the storage device is configured to store a computer program supporting a terminal to execute the method described above, where the computer program includes program instructions, and where the processor is configured to invoke the program instructions to execute the method described in the second aspect.
In a fifth aspect, an embodiment of the present application provides a computer storage medium having stored therein program instructions for implementing the method according to the second aspect when the program instructions are invoked for execution.
According to the embodiment of the application, the node equipment can receive the data acquisition request sent by the evaluation platform, wherein the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform, and further, the node equipment verifies the evaluation platform according to the digital signature, if the verification is passed, the node equipment acquires the target data corresponding to the target object from the blockchain according to the identification information of the target object, and returns the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By the method for evaluating the combined blockchain network, the safety and reliability of evaluation data can be improved.
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In order to more clearly illustrate the embodiments of the application 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 application, 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 blockchain network-based evaluation system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another blockchain network-based evaluation system in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of a block chain network based evaluation system according to an embodiment of the present application;
FIG. 4 is a flow chart of a blockchain network-based evaluation method according to an embodiment of the present application;
FIG. 5 is a block chain network based evaluation device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a node device according to an embodiment of the present application.
Detailed Description
Referring to fig. 1, an embodiment of the present application proposes a blockchain network-based evaluation system, which includes an evaluation platform for evaluating a target object, a user terminal device for receiving an evaluation result of the target object, and a node device in the blockchain network. The evaluation platform may be a server, which may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers. Terminal devices corresponding to the user terminal device include, but are not limited to, mobile phones, portable computers, desktop computers, intelligent mobile terminals, vehicle-mounted terminals, and the like.
The user terminal equipment is used for sending an evaluation request for the target object to the evaluation platform and receiving an evaluation result sent after the evaluation platform evaluates the target object.
The evaluation request carries identification information of the target object, where the identification information may refer to description information for uniquely identifying the target object, and the description information may be set in the XX enterprise, for example.
It can be appreciated that the blockchain network-based evaluation system provided by the embodiment of the application can be applied to any field needing to be evaluated, for example, a job seeker evaluates the development potential or market prospect of an enterprise, an investor or stakeholder evaluates the growth capacity of the enterprise, a parent evaluates the teaching and learning strength of a school, or a medical and health person evaluates the risk of a group, and the like. Based on this, the above-mentioned target object of evaluation may be an evaluation institution or individual to be evaluated, such as a dining enterprise, school, or the like. The user terminal device may be a terminal device corresponding to a person or an organization that needs to obtain the evaluation result.
The evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, evaluating the target object according to the AHP analytic hierarchy process, the Z-value model process and the target data, and sending an evaluation result of the target object to the user terminal equipment.
The evaluation platform sends a data acquisition request to the node equipment according to the identification information of the target object carried in the received evaluation request (namely, the data acquisition request carries the identification information), further receives target data corresponding to the target object returned by the node equipment according to the identification information, evaluates the target object according to an AHP (advanced high performance) analytic hierarchy process, a Z value model process and the target data, and sends an evaluation result of the target object to the user terminal equipment.
It should be understood that the AHP hierarchy analysis is a decision method that decomposes elements always related to a target decision task into levels of targets, criteria, schemes, etc., and performs qualitative and quantitative analysis on the basis of the decomposition. Taking an enterprise growth capacity assessment as an example, that is, assessing enterprise growth capacity as a target decision task, enterprise growth capacity is targeted. Further, the total asset growth rate, the fixed asset growth rate, the sales revenue growth rate, the profit growth rate and the scientific research investment of the enterprise related to the growth capacity of the enterprise can be determined as criteria according to the AHP analytic hierarchy process, wherein each criterion corresponds to a specific quantization scheme and a corresponding weight parameter. Furthermore, the values corresponding to the criteria can be obtained according to the specific quantization schemes corresponding to the criteria, and the values corresponding to the enterprise growth capacity can be obtained according to the values corresponding to the criteria and the weight parameters corresponding to the criteria. The weight parameters are preset weight parameters which pass the consistency verification, the preset weight parameters are obtained by developers or experts in the field according to the experimental field and the scene, and the weight parameters can be correspondingly adjusted according to the specific application scene or the specific application field.
Illustratively, the target data corresponding to the target object is enterprise financial data including a total asset growth rate, a fixed asset growth rate, a sales revenue growth rate, a profit growth rate, and a scientific research investment for the enterprise. In this case, the objective determined by the evaluation platform according to the AHP hierarchical analysis method is an enterprise growth ability evaluation value, the calculation criterion corresponding to the objective is that the first evaluation result corresponds to a first weight value, the second evaluation result corresponds to a second weight value, and the preset weight parameters corresponding to the respective criteria in sequence are 5, 3, 9, 7 and 1. Consistency verification is carried out on preset weight parameters, namely a judgment matrix is constructed according to the preset weight parameters of 5, 3, 9, 7 and 1 as follows:
And calculating a consistency index value CI according to the judgment matrix, wherein the calculation formula is shown in a formula (1):
Wherein λ is the maximum feature root of the judgment matrix, and n is the order of the judgment matrix. Further, the consistency verification coefficient CR may be calculated according to the consistency index value CI, where the calculation formula of CR is shown in formula (2):
Wherein RI is a random consistency index, RI varies with the order n of the judgment matrix, and specifically, see table 1:
TABLE 1
If the evaluation platform calculates the consistency verification coefficient CR is smaller than 0.1 according to the judgment matrix, confirming that the judgment matrix passes consistency verification, and standardizing all preset weight parameters to obtain weight parameters corresponding to the total asset growth rate of 5/25, weight parameters corresponding to the fixed asset growth rate of 3/25, weight parameters corresponding to the sales income growth rate of 9/25, weight parameters corresponding to the profit growth rate of 7/25 and weight parameters corresponding to scientific research investment of 1/25. The estimated value of the enterprise growth capacity model is obtained by utilizing an AHP analytic hierarchy process as a y value, and the calculation method of the y value is shown in a formula (3):
y＝0.2X1+0.12X2+0.36X3+0.28X4+0.04X5 (3)
Wherein, X 1 is the total asset growth rate of the enterprise, X 2 is the fixed asset growth rate, X 3 is the sales income growth rate, X 4 is the profit growth rate, and X 5 is the scientific research investment ratio.
The Z-value model method (also called as Z-value analysis method) is a method for measuring the breaking risk of enterprises, wherein the Z value is related to the type of the enterprises, and when a target object is a marketing enterprise, the Z value obtained by the Z-value model method is shown as Z 1 in a formula (4):
Z1＝0.012X1+0.014X2+0.033X3+0.006X4+0.999X5 (4)
Wherein X 1 is the ratio of the operational capital of the enterprise to the total assets of the enterprise, X 2 is the ratio of the accumulated reserve income of the enterprise to the total assets of the enterprise, X 3 is the ratio of the profit before tax administration of the enterprise to the total assets of the enterprise, X 4 is the ratio of the market value of equity rights of the enterprise to the total liabilities of the enterprise, and X 5 is the ratio of the sales income to the total assets of the enterprise.
When the target object is a non-marketing enterprise, the Z value obtained by using the Z value model method is shown as Z 2 in the formula (5):
Z2＝0.717X1+0.847X2+3.107X3+0.420X4+0.998X5 (5)
wherein X 1 is the ratio of the operational capital of the enterprise to the total assets of the enterprise, X 2 is the ratio of the accumulated reserve income of the enterprise to the total assets of the enterprise, X 3 is the ratio of the profit before tax administration of the enterprise to the total assets of the enterprise, X 4 is the ratio of the total value of the accounting of the enterprise to the total liabilities of the enterprise, and X 5 is the ratio of the sales income to the total assets of the enterprise.
In a feasible implementation method, after receiving target data corresponding to a target object returned by node equipment, an evaluation platform obtains a first evaluation result according to an AHP (advanced high performance analysis) and the target data, obtains a second evaluation result according to a Z-value model method, and obtains an evaluation result of the target object according to the first evaluation result and the second evaluation result. Optionally, the evaluation platform may perform weighted summation on the first evaluation result and the second evaluation result to obtain an evaluation result of the target object, in other words, the first evaluation result corresponds to a first weight value, the second evaluation result corresponds to a second weight value, and the evaluation platform performs weighted summation on the first evaluation result and the second evaluation result according to the first weight value and the second weight value to obtain an evaluation result of the target object. The first weight value and the second weight value are obtained by measuring and calculating according to experimental application scenes by a developer, and can be adjusted correspondingly according to specific application scenes, and the method is not limited in detail.
The node equipment is used for receiving the data acquisition request, acquiring target data corresponding to a pre-stored target object from the blockchain according to the data acquisition request, and returning the target data to the evaluation platform.
The node equipment receives a data acquisition request sent by the data evaluation platform, acquires target data corresponding to a prestored target object corresponding to the identification information from the blockchain according to the identification information of the target object carried in the data acquisition request, and returns the target data to the evaluation platform. The target data corresponding to the prestored target object is target data comprising at least one object and prestored by a developer or an evaluation platform manager, and the target data takes identification information of each object as an index, namely, the target data of the target object corresponding to the identification information can be obtained through the identification information.
In the system provided by the embodiment of the application, the user terminal equipment sends an evaluation request aiming at the target object to the evaluation platform, wherein the evaluation request carries the identification information of the target object. And after receiving the evaluation request, the evaluation platform sends a data acquisition request to the node equipment, wherein the data acquisition request carries the identification information of the target object. After receiving the data acquisition request, the node equipment acquires target data corresponding to a pre-stored target object from the blockchain according to the identification information, and returns the target data to the evaluation platform. Further, the evaluation platform can evaluate the target object according to the AHP analytic hierarchy process, the Z-value model process and the target data to obtain an evaluation result, and send the evaluation result to the user terminal equipment.
According to the implementation of the application, the tamper-proof technical characteristics of the blockchain storage can be combined, so that the data safety and reliability assessment method is provided, and the reliability and accuracy of the assessment result are improved.
Referring to fig. 2, on the basis of fig. 1, the above-mentioned blockchain network-based evaluation system further includes a data acquisition device, where the data acquisition device may be a server, and the server may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers. Wherein:
the data acquisition equipment is used for acquiring target data corresponding to the target object and sending a data storage request carrying the target data to the node equipment. In this case, the node device is further configured to verify the target data according to the received data storage request, and if the verification is passed, store the target data in the blockchain.
In a specific implementation, the data collection device may be a terminal device corresponding to a target object, in this case, the data collection device may periodically collect target data corresponding to the target object, taking an enterprise growth capability assessment as an example, where the target object is an enterprise to be assessed, and then the data collection device may be an enterprise terminal device, specifically, the enterprise terminal device may periodically obtain the target data of the target object (to be assessed) according to a preset duration (for example, 1 month), and send the target data to the node device, where the target data should also carry a digital signature of the data collection device. After the digital signature passes verification, the node device stores the target data in the blockchain. The preset time length is obtained by measuring and calculating by a developer according to an experimental environment, and can be adjusted correspondingly according to a specific application scene, so that the method is not limited in detail.
From the above, by implementing the application, the data acquisition equipment can be utilized to acquire the target data periodically, update the target data in time and ensure the timeliness of the data.
Referring to fig. 3, on the basis of fig. 1 and fig. 2, the above-mentioned blockchain network-based evaluation system further includes a data verification device, where the data verification device may be a server, and the server may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers. Wherein:
And the data verification device is used for receiving the data verification request, sent by the node device, of the target data corresponding to the target object, verifying the target data, and sending the data verification result of the target data to the node device. In this case, the node device is further configured to, after receiving a data storage request of target data corresponding to a target object, send a data verification request for the target data to the data verification device, receive a data verification result of the target data by the data verification device, and if the data verification result is passed, store the target data on the blockchain.
The data verification device may be the aforementioned node device, or may be a server device that exists independently of the blockchain network. For example, taking the target data as enterprise financial data as an example, the data verification device may be a tax office terminal device, where the tax office terminal device verifies the target data according to tax information of the enterprise to determine whether the target data is real data, and if the tax office terminal device verifies the target data as real data according to tax information of the enterprise (i.e., verifies passing), the data verification device sends a data verification result (real data) of the target data to the node device. After the node device receives the data verification result, the target data is stored on the blockchain. In this case, the data terminal device may be a node device in the blockchain network or may be a device independent of the blockchain network.
From the above, by implementing the application, the target data stored on the blockchain can be stored on the blockchain after being verified, namely after the target data is verified to be real data, so as to ensure the authenticity of the data, and further, the security and reliability (authenticity) of the data are improved by utilizing the tamper-proof technical characteristics of the blockchain.
The present application provides a blockchain network-based evaluation method, which is applicable to the blockchain network-based evaluation system set forth in fig. 1 to 3, and can be executed by a node device in the blockchain network-based evaluation system, and the blockchain network-based evaluation system further includes an evaluation platform for evaluating a target object and a user terminal device for receiving a result of the evaluation corresponding to the target object, referring to fig. 4, and the method in an embodiment of the present application includes the following steps.
S401: and receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform.
Wherein the identification information is used to indicate a unique target object (i.e. object to be evaluated), such as the name, code number, etc. of the target object. Digital signature is a signature by the evaluation platform using its own private key.
It should be appreciated that the blockchain network node device first creates a key pair for a device accessing the blockchain network (such as the aforementioned evaluation platform, data acquisition device) using an asymmetric encryption algorithm; the asymmetric encryption algorithm herein may include, but is not limited to: elgamal algorithm (an asymmetric encryption algorithm), rabin algorithm (an asymmetric encryption algorithm), diffie-Hellman algorithm (an asymmetric encryption algorithm), ECC algorithm (elliptic curve encryption algorithm). Wherein the key pair includes a public key and a private key. After creating the key pair, the evaluation platform may upload the public key of the key pair to the blockchain network, while the private key is kept by the evaluation platform so that subsequent blockchain node devices may decrypt the private key signature of the evaluation platform using the public key. It should be noted that each pair of key pairs in the blockchain network has uniqueness; that is, the public key may mark an evaluation platform to which the private key corresponds uniquely.
S402: and verifying the evaluation platform according to the digital signature.
And the node equipment decrypts and verifies the private key signature of the evaluation platform by using the public key of the evaluation platform, if the decryption is successful, the private key signature verification of the evaluation platform is confirmed to pass, and if the node equipment determines that the evaluation platform is legal.
S403: if the verification is passed, target data corresponding to the target object stored in advance is obtained from the blockchain according to the identification information of the target object, and the target data is returned to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
If the digital signature of the evaluation platform is verified by the node equipment, the node equipment acquires target data of a target object corresponding to the identification information from prestored target data in a blockchain according to the identification information of the target object, and then the node equipment can return the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
The evaluation result may be an evaluation value (score) corresponding to the growth ability, or may be a label corresponding to the growth ability evaluation value, for example, a label such as "short-term extended late strength is insufficient", "short-term extended business ability is strong", or "short-term business maintenance is stable".
In one embodiment, the blockchain network-based evaluation system further includes a data acquisition device and a data verification device, the target data corresponding to the target object includes resource data corresponding to the target object, the node device may further receive the resource data corresponding to the target object sent by the data acquisition device, and further, the node device may send a data verification request to the data verification device, where the data verification request includes identification information of the target object and the resource data, so that the data verification device verifies the resource data according to the identification information of the target object, and then obtains a verification result. Further, the node device receives the verification result sent by the data verification device, and if the verification result is that the verification is passed, the identification information of the target object and the resource data corresponding to the target object are associated and stored in the blockchain. The data verification device may be the aforementioned node device, or may be a server device that exists independently of the blockchain network.
Optionally, the private key signature of the data acquisition device is carried in the resource data corresponding to the target object sent by the data acquisition device, after the node device receives the resource data corresponding to the target object sent by the data acquisition device, the node device may decrypt the private key signature of the data acquisition device by using the public key corresponding to the private key of the data acquisition device stored in the blockchain, and if the decryption is successful, the node device receives the resource data corresponding to the target object sent by the data acquisition device. By adopting the method, the traceability of the resource data corresponding to the target object stored in the blockchain can be ensured.
Optionally, when the data verification device is a server device existing independently of the blockchain network, the verification result sent by the data verification device carries a private key signature of the data verification device, further, the node device receives the verification result sent by the data verification device, decrypts the private key signature of the data verification device by using a public key corresponding to the private key of the data verification device stored in the blockchain, and if decryption is successful, the node device receives the verification result sent by the data verification device. By adopting the method, the validity of the device for verifying the target data can be ensured, in other words, the verification result sent by the data verification device has validity.
In one application scenario, the resource data corresponding to the target object is financial data of an object to be evaluated (or an enterprise to be evaluated), the data acquisition equipment is terminal equipment deployed in the enterprise to be evaluated, and the data verification equipment is tax office terminal equipment independent of the blockchain network. The node equipment receives financial data of the enterprise to be evaluated, which is sent by the data acquisition equipment, wherein the financial data comprises identification information of the enterprise to be evaluated and carries a private key signature of the data acquisition equipment. After the private key signature of the data acquisition device passes verification (namely after decryption is successful by using a corresponding public key), the node device sends a data verification request to the data verification device (tax bureau terminal device), wherein the data verification request carries identification information of a target object (enterprise to be evaluated) and financial data of the enterprise to be evaluated. After the data verification device (tax office terminal device) receives the data verification request, the tax information of the target object (enterprise to be evaluated) is obtained according to the identification information query of the target object (enterprise to be evaluated), further, financial data of the enterprise to be evaluated can be verified according to the tax information, and a verification result is sent to the node device, wherein the verification result carries a private key signature of the data verification device (tax office terminal device). After the private key signature of the data verification device (tax bureau terminal device) is verified, the node device (namely after decryption by using the corresponding public key) stores the financial data and the identification information of the enterprise to be evaluated in a blockchain in a correlated manner. By the method, traceability and authenticity of data stored on the blockchain are guaranteed.
In an embodiment, the target data corresponding to the target object further includes a preset weight parameter corresponding to the resource data, where the number of types of the resource data is at least one type, in this case, the node device may further receive the preset weight parameter corresponding to the resource data sent by the data acquisition device, where the number of preset weight parameters corresponds to the number of types of the resource data, and further, the node device verifies the preset weight parameter based on a consistency verification method, and if verification passes, stores the preset weight parameter on the blockchain.
In one application scenario, the assessment platform adopts an AHP analytic hierarchy process to assess the growth capacity of the enterprise. Further, the total asset growth rate, fixed asset growth rate, sales revenue growth rate, profit growth rate, and scientific investment of the enterprise related to the enterprise growth capacity may be determined as criteria according to the AHP hierarchy. In this case, the target data (financial data of the enterprise to be evaluated) corresponding to the target object (enterprise to be evaluated) includes a total asset growth rate, a fixed asset growth rate, a sales revenue growth rate, a profit growth rate, and a scientific research investment of the enterprise. The data acquisition equipment is terminal equipment (such as user equipment corresponding to an expert in the field of enterprise growth capacity assessment) for acquiring preset weight parameters, receives a weight parameter acquisition instruction sent by the assessment platform, and acquires preset weight parameters respectively corresponding to the total asset growth rate, the fixed asset growth rate, the sales income growth rate, the profit growth rate and the scientific research investment in enterprise growth capacity assessment according to the weight parameter acquisition instruction. After the data acquisition equipment acquires each preset weight parameter, the data acquisition equipment sends a data storage request to the node equipment, wherein the data storage request carries each preset weight parameter and a private key signature of the data acquisition equipment. After the private key signature of the data acquisition device passes the verification, the node device performs consistency verification on each preset weight parameter, wherein the specific implementation process of the consistency verification method can be referred to the related description in the foregoing embodiment, and redundant description is omitted herein. The node equipment stores the preset weight parameters on the block chain if the preset weight parameters pass verification based on a consistency verification method. By adopting the method, the preset weight parameters can not be changed or tampered, and objective fairness in the evaluation process is ensured.
In one embodiment, the node device may further receive an evaluation result of the evaluation platform on the target object, where the evaluation result carries a digital signature of the evaluation platform and identification information of the target object, and further, the node device verifies the evaluation platform according to the digital signature; and if the verification is passed, storing the evaluation result and the identification information of the target object in the blockchain in a correlated manner. By the method, when the evaluation platform receives the evaluation request for the target object again, the evaluation result can be obtained from the blockchain, so that the calculation time of the evaluation platform is saved, and the evaluation efficiency is improved.
For example, the user a sends an evaluation request for the enterprise B to the evaluation platform through the user terminal 1, the evaluation platform sends the evaluation result for the enterprise B to the node device after obtaining the evaluation result for the enterprise B according to the evaluation request, the evaluation result carries a digital signature of the evaluation platform (i.e. a private key signature of the evaluation platform), the node device verifies the digital signature (i.e. decrypts the private key signature by using the public key), and if the decryption is successful, the verification is passed. Further, the node device stores the evaluation result and the identification information of the enterprise B in the blockchain. When a user C sends an evaluation request for an enterprise B to an evaluation platform through a user terminal 2, the evaluation platform sends a data acquisition request for target data corresponding to the enterprise B to node equipment, and after receiving the data acquisition request, the node equipment obtains an evaluation result of the enterprise B and directly returns the evaluation result of the enterprise B to the evaluation platform.
In the embodiment of the application, the node equipment receives a data acquisition request sent by the evaluation platform, wherein the data acquisition request carries identification information of a target object and a digital signature of the evaluation platform. Further, the node equipment verifies the evaluation platform according to the digital signature, if the verification is passed, target data corresponding to a pre-stored target object is obtained from the blockchain according to the identification information of the target object, and the target data is returned to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By adopting the mode, the anti-tampering technical characteristic of the blockchain storage is combined, and the data safety and reliability assessment method is provided, so that the reliability and accuracy of the assessment result can be improved.
Referring to fig. 5, a schematic structural diagram of a blockchain network-based evaluation device provided by an embodiment of the present application is configured in a node device in a blockchain network-based evaluation system, where the blockchain network-based evaluation system further includes an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, and the device includes:
The acquiring module 50 is configured to receive a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal device, where the evaluation request carries identification information of the target object, and the data acquisition request carries the identification information of the target object and a digital signature of the evaluation platform;
a processing module 51, configured to verify the evaluation platform according to the digital signature;
The obtaining module 50 is further configured to obtain, if the verification is passed, target data corresponding to the target object stored in advance from a blockchain according to identification information of the target object;
And the output module 52 is used for returning the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In one embodiment, the blockchain network-based evaluation system further includes a data acquisition device and a data verification device, where the target data corresponding to the target object includes resource data corresponding to the target object, and before the target data corresponding to the target object stored in advance is acquired from a blockchain according to the identification information of the target object, the acquisition module 50 is further configured to receive the resource data corresponding to the target object sent by the data acquisition device; the output module 52 is further configured to send a data verification request to the data verification device, where the data verification request includes identification information of the target object and the resource data, so that the data verification device verifies the resource data according to the identification information of the target object, and then obtains a verification result; the obtaining module 50 is further configured to receive the verification result sent by the data verification device, and if the verification result is that verification is passed, associate and store identification information of the target object with resource data corresponding to the target object in a blockchain.
In one embodiment, the target data corresponding to the target object further includes preset weight parameters corresponding to the resource data, the number of types of the resource data is at least one type, and the obtaining module 50 is further configured to receive the preset weight parameters corresponding to the resource data sent by the data collecting device, where the number of preset weight parameters corresponds to the number of types of the resource data; the processing module 51 is further configured to verify the preset weight parameter based on a consistency verification method; and if the verification is passed, storing the preset weight parameters in a block chain.
In one embodiment, the obtaining module 50 is further configured to receive an evaluation result of the evaluation platform on the target object, where the evaluation result carries a digital signature of the evaluation platform and identification information of the target object; the processing module 51 is further configured to verify the evaluation platform according to the digital signature; and if the verification is passed, storing the evaluation result and the identification information of the target object in a blockchain in a correlated manner.
It should be noted that, the functions of each unit module of the routing forwarding apparatus described in the embodiment of the present application may be specifically implemented according to the method in the embodiment of the method described in fig. 4, and the specific implementation process may refer to the related description of the embodiment of the method in fig. 4, which is not repeated herein.
Based on the description of the method embodiment and the device embodiment, the embodiment of the application also provides node equipment. Referring to fig. 6, the node device may include at least a processor 601, an input device 602, an output device 603, and a memory 604; wherein the processor 601, input device 602, output device 603, and memory 604 may be connected by a bus or other connection. The memory 604 may further include a computer readable storage medium for storing a computer program comprising program instructions, and the processor 601 is configured to execute the program instructions stored in the memory 604. The processor 601 (or CPU (Central Processing Unit, central processing unit)) is a computing core and a control core of a node device, which is adapted to implement one or more instructions, in particular to load and execute one or more instructions to implement the corresponding method flows or corresponding functions in the data processing method embodiments described above. Wherein the processor 601 is configured to invoke the program instructions to execute: receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and a digital signature of the evaluation platform; verifying the evaluation platform according to the digital signature; and if the verification is passed, acquiring target data corresponding to the target object stored in advance from a blockchain according to the identification information of the target object, and returning the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In one embodiment, the blockchain network-based evaluation system further includes a data acquisition device and a data verification device, where the target data corresponding to the target object includes resource data corresponding to the target object, and before the processor 601 is further configured to, before acquiring, from a blockchain, the pre-stored target data corresponding to the target object according to the identification information of the target object: receiving resource data corresponding to the target object sent by the data acquisition equipment; sending a data verification request to the data verification device, wherein the data verification request comprises the identification information of the target object and the resource data, so that the data verification device verifies the resource data according to the identification information of the target object to obtain a verification result; and receiving the verification result sent by the data verification device, and if the verification result is verification passing, associating and storing the identification information of the target object with the resource data corresponding to the target object in a blockchain.
In one embodiment, the target data corresponding to the target object further includes a preset weight parameter corresponding to the resource data, where the number of kinds of the resource data is at least one kind, and the processor 601 is further configured to: receiving preset weight parameters corresponding to the resource data sent by the data acquisition equipment, wherein the number of the preset weight parameters corresponds to the type number of the resource data; verifying the preset weight parameters based on a consistency verification method; and if the verification is passed, storing the preset weight parameters in a block chain.
In one embodiment, the processor 601 is further configured to: receiving an evaluation result of the evaluation platform on the target object, wherein the evaluation result carries a digital signature of the evaluation platform and identification information of the target object; verifying the evaluation platform according to the digital signature; and if the verification is passed, storing the evaluation result and the identification information of the target object in a blockchain in a correlated manner.
It should be appreciated that in embodiments of the present application, the processor 601 may be a central processing unit (Central Processing Unit, CPU), the processor 601 may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, dsps), application SPECIFIC INTEGRATED circuits (asics), off-the-shelf programmable gate arrays (field-programmable GATE ARRAY, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete a hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 604 may include read only memory and random access memory and provides instructions and data to the processor 601. A portion of memory 604 may also include non-volatile random access memory. For example, the memory 604 may also store information of device type. The input device 602 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user), a microphone, a physical keyboard, etc., and the output device 603 may include a display (LCD, etc.), a speaker, etc.
In a specific implementation, the processor 601, the memory 604, the input device 602, and the output device 603 described in the embodiments of the present application may perform the implementation described in the embodiment of the method described in fig. 4 provided in the embodiments of the present application, and may also perform the implementation method of the blockchain network-based evaluation device described in fig. 5 in the embodiments of the present application, which is not described herein again.
In another embodiment of the present application, a computer readable storage medium is provided, where the computer readable storage medium stores a computer program, where the computer program includes program instructions, where the program instructions implement, when executed by a processor, the implementation manner described in implementing the method shown in fig. 4 provided in the embodiment of the present application, where the computer readable storage medium may be an internal storage unit of a node device, for example, a hard disk or a memory of the node device, where the internal storage unit is described in any one of the foregoing embodiments. The computer readable storage medium may also be an external storage device of the node device, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, which are provided on the node device. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the node device. The computer readable storage medium is used for storing the computer program and other programs and data required by the node device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the above-described embodiments of the methods.
The readable storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (Random Access Memory, RAM), or the like.
The above disclosure is only a few examples of the present application, and it is not intended to limit the scope of the present application, but it is understood that all or part of the procedures for implementing the above examples may be performed by persons skilled in the art, and equivalent changes may be made in the claims of the present application, which still fall within the scope of the present application.
Claims (9)
1. A blockchain network-based evaluation system, comprising an evaluation platform for evaluating a target object, a user terminal device for receiving an evaluation result of the target object, and a node device in the blockchain network, wherein:
The user terminal equipment is used for sending an evaluation request aiming at the target object to the evaluation platform and receiving an evaluation result sent after the evaluation platform evaluates the target object;
The evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, obtaining a first evaluation result according to an AHP (advanced high performance) analytic hierarchy process and the target data, obtaining a second evaluation result according to a Z-value model method, obtaining an evaluation result of the target object according to the first evaluation result and the second evaluation result, and sending the evaluation result of the target object to the user terminal equipment; the first evaluation result is used for indicating growth capability information of the target object, and the second evaluation result is used for indicating risk information of the target object; z values corresponding to the Z value model method are related to the object types, and the Z value model methods adopted by the different object types are different; the target data comprises resource data corresponding to a target object and preset weight parameters corresponding to the resource data, the number of types of the resource data is multiple, and the types of the resource data comprise the total asset growth rate, the fixed asset growth rate, the sales income growth rate, the profit growth rate and the scientific research investment of the target object;
the node device is configured to receive preset weight parameters corresponding to the resource data sent by the data acquisition device, where the number of the preset weight parameters corresponds to the number of types of the resource data; verifying the preset weight parameters by using a consistency verification coefficient based on a consistency verification method; if the verification is passed, storing the preset weight parameters in a block chain; the determination method of the consistency verification coefficient CR is as follows: RI is random consistency index, RI varies along with the order n of the judgment matrix, CI is the consistency index value; the CI is determined in the following way: /(I) Lambda is the maximum characteristic root of the judgment matrix, n is the order of the judgment matrix, and the judgment matrix is determined according to the preset weight parameters corresponding to the resource data;
The node equipment is used for receiving the data acquisition request, acquiring target data corresponding to the target object stored in advance from a blockchain according to the data acquisition request, and returning the target data to the evaluation platform.
2. The system of claim 1, wherein the blockchain network-based evaluation system further comprises a data acquisition device, wherein:
the data acquisition equipment is used for acquiring target data corresponding to the target object and sending a data storage request carrying the target data to the node equipment;
The node device is further configured to verify the target data according to the received data storage request, and if the verification is passed, store the target data in a blockchain.
3. The system of claim 1 or 2, wherein the blockchain network-based evaluation system includes a data verification device, wherein:
the data verification device is used for receiving a data verification request, sent by the node device, of target data corresponding to the target object, verifying the target data, and sending a data verification result of the target data to the node device;
The node device is further configured to send a data verification request for the target data to the data verification device after receiving a data storage request for the target data corresponding to the target object, and receive a data verification result of the data verification device for the target data, and if the data verification result is passed, store the target data on a blockchain.
4. A blockchain network-based evaluation method, wherein the method is performed by a node device in a blockchain network of a blockchain network-based evaluation system, the blockchain network-based evaluation system further comprising an evaluation platform for evaluating a target object and a user terminal device for receiving a result of the evaluation corresponding to the target object, the method comprising:
Receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and a digital signature of the evaluation platform;
Verifying the evaluation platform according to the digital signature;
If the verification is passed, acquiring target data corresponding to the target object stored in advance from a blockchain according to the identification information of the target object, and returning the target data to the evaluation platform so that the evaluation platform obtains a first evaluation result according to an AHP (advanced high performance) analytic hierarchy process and the target data, obtains a second evaluation result according to a Z-value model method, and obtains an evaluation result of the target object according to the first evaluation result and the second evaluation result; the first evaluation result is used for indicating growth capability information of the target object, and the second evaluation result is used for indicating risk information of the target object; z values corresponding to the Z value model method are related to the object types, and the Z value model methods adopted by the different object types are different;
The target data comprises resource data corresponding to a target object and preset weight parameters corresponding to the resource data, the number of types of the resource data is multiple, and the types of the resource data comprise the total asset growth rate, the fixed asset growth rate, the sales income growth rate, the profit growth rate and the scientific research investment of the target object; the method further comprises the steps of:
Receiving preset weight parameters corresponding to the resource data sent by the data acquisition equipment, wherein the number of the preset weight parameters corresponds to the type number of the resource data;
Verifying the preset weight parameters by using a consistency verification coefficient based on a consistency verification method; the determination method of the consistency verification coefficient CR is as follows: RI is random consistency index, RI varies along with the order n of the judgment matrix, CI is the consistency index value; the CI is determined in the following way: /(I) Lambda is the maximum characteristic root of the judgment matrix, n is the order of the judgment matrix, and the judgment matrix is determined according to the preset weight parameters corresponding to the resource data;
And if the verification is passed, storing the preset weight parameters in a block chain.
5. The method of claim 4, wherein the blockchain network-based evaluation system further comprises a data acquisition device and a data verification device, and wherein before the target data corresponding to the target object is obtained from the blockchain according to the identification information of the target object, the method further comprises:
receiving resource data corresponding to the target object sent by the data acquisition equipment;
sending a data verification request to the data verification device, wherein the data verification request comprises the identification information of the target object and the resource data, so that the data verification device verifies the resource data according to the identification information of the target object to obtain a verification result;
and receiving the verification result sent by the data verification device, and if the verification result is verification passing, associating and storing the identification information of the target object with the resource data corresponding to the target object in a blockchain.
6. The method according to any one of claims 4-5, further comprising:
Receiving an evaluation result of the evaluation platform on the target object, wherein the evaluation result carries a digital signature of the evaluation platform and identification information of the target object;
Verifying the evaluation platform according to the digital signature;
And if the verification is passed, storing the evaluation result and the identification information of the target object in a blockchain in a correlated manner.
7. A blockchain network-based evaluation apparatus, wherein the apparatus is deployed in a node device in a blockchain network-based evaluation system, the blockchain network-based evaluation system further comprising an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, the blockchain network-based evaluation apparatus comprising:
The acquisition module is used for receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform;
the processing module is used for verifying the evaluation platform according to the digital signature;
The acquisition module is further used for acquiring target data corresponding to the target object from a blockchain according to the identification information of the target object if the verification is passed;
The output module is used for returning the target data to the evaluation platform so that the evaluation platform obtains a first evaluation result according to an AHP (advanced high performance) analytic hierarchy process and the target data, obtains a second evaluation result according to a Z-value model method and obtains an evaluation result of the target object according to the first evaluation result and the second evaluation result; the first evaluation result is used for indicating growth capability information of the target object, and the second evaluation result is used for indicating risk information of the target object; z values corresponding to the Z value model method are related to the object types, and the Z value model methods adopted by the different object types are different; the target data comprises resource data corresponding to a target object and preset weight parameters corresponding to the resource data, the number of types of the resource data is multiple, and the types of the resource data comprise the total asset growth rate, the fixed asset growth rate, the sales income growth rate, the profit growth rate and the scientific research investment of the target object;
The acquisition module is further configured to receive preset weight parameters corresponding to the resource data sent by the data acquisition device, where the number of the preset weight parameters corresponds to the number of types of the resource data;
the processing module is further used for verifying the preset weight parameters based on a consistency verification method by utilizing a consistency verification coefficient; if the verification is passed, storing the preset weight parameters in a block chain; the determination method of the consistency verification coefficient CR is as follows: RI is random consistency index, RI varies along with the order n of the judgment matrix, CI is the consistency index value; the CI is determined in the following way: /(I) Lambda is the maximum characteristic root of the judgment matrix, n is the order of the judgment matrix, and the judgment matrix is determined according to the preset weight parameters corresponding to the resource data.
8. A node device comprising a processor and a storage means, the processor and the storage means being interconnected, wherein the storage means is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 4-6.
9. A computer storage medium having stored therein program instructions which, when executed, are adapted to carry out the method of any of claims 4-6.
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