CN117635324A - Data processing method, device, equipment and medium based on block chain network - Google Patents

Abstract

The disclosure provides a data processing method, a device, equipment and a medium based on a blockchain network, which can be applied to the technical field of blockchains, the technical field of big data and the technical field of finance. The data processing method comprises the following steps: obtaining transaction data from the first blockchain network by a dominant resource party in the second blockchain network; generating a total instruction by a dominant resource party based on the transaction data and the resource fusion request, and splitting the total instruction into N sub-instructions; in response to the N sub-instructions, resource data operations associated with the N sub-instructions are performed by the N target resource parties.

Description

Data processing method, device, equipment and medium based on block chain network

Technical Field

The present disclosure relates to the field of blockchain technology and the field of big data technology, and in particular, to a data processing method, apparatus, device, medium and program product based on a blockchain network.

Background

With the development of blockchain technology, the application of blockchain technology in the financial field is also becoming more and more widespread, for example, in a supply chain business scenario, a supply chain business participant includes a fund demand party, a fund supplier party, a core enterprise party, and a financial platform party, and a four-class entity is included, and trade streams, fund streams, transaction streams, and logistics four-stream data are generated around the participant entity. Because the four types of main bodies are scattered around the country and four streams of data are redundant, the problem of information asymmetry is serious, and the fund supply and demand links are not smooth.

At present, aiming at a blockchain technology in a supply chain service scene, a single blockchain-based processing method is adopted, an upstream client, a downstream client and a single fund party are connected through the single blockchain, data sharing between a multi-stage client and the multi-stage fund party cannot be realized, if the multi-stage client and the multi-stage fund party coexist in the same blockchain, a data interaction identity authentication mechanism becomes very complex, the technical realization difficulty is high, and the data interaction efficiency and the data security are difficult to guarantee.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a data processing method, apparatus, device, medium, and program product based on a blockchain network.

In one aspect of the present disclosure, a data processing method based on a blockchain network is provided, including:

obtaining transaction data from a first blockchain network by a dominant resource party in a second blockchain network, wherein a node in the first blockchain network comprises a plurality of transaction parties, the node in the second blockchain network comprises a target transaction party, the dominant resource party and M auxiliary resource parties in the plurality of transaction parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, and M is a positive integer;

Generating a total instruction by a dominant resource party based on transaction data and a resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by a target transaction party in a second blockchain network, N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties comprise the dominant resource party and/or comprise part or all of M auxiliary resource parties, and N is a positive integer;

in response to the N sub-instructions, resource data operations associated with the N sub-instructions are performed by the N target resource parties.

According to an embodiment of the present disclosure, the node in the first blockchain network further includes a notarized resource party, and the obtaining transaction data from the first blockchain network includes:

an operation authentication request is sent to a notary resource party through a notary authentication contract interface,

and under the condition that the certification of the notarized resource party passes, acquiring transaction data from the first blockchain network.

According to an embodiment of the present disclosure, wherein:

the notarized resource party and the dominant resource party correspond to the same subject body.

According to an embodiment of the present disclosure, splitting the total instruction into N sub-instructions includes:

calculating to obtain respective comprehensive scores of the M auxiliary resource parties;

according to the respective comprehensive scores of the M auxiliary resource parties, sequencing the M auxiliary resource parties to generate respective priority sequence numbers of the M auxiliary resource parties;

Sequentially sending intention instructions to the M auxiliary resource parties based on the priority sequence numbers of the M auxiliary resource parties;

receiving feedback data of M auxiliary resource parties for the intention instruction;

and splitting the total instruction into N sub-instructions according to the feedback data.

According to an embodiment of the disclosure, historical financing record data about M auxiliary resource parties is stored in a second blockchain network;

the calculation to obtain the respective comprehensive scores of the M auxiliary resource parties comprises the following steps:

acquiring historical financing record data from a second blockchain network;

and calculating and obtaining the respective comprehensive scores of the M auxiliary resource parties based on the historical financing record data.

According to an embodiment of the present disclosure, wherein executing the resource data operation associated with the N sub-instructions includes:

generating execution sequence numbers of N target resource sides according to the sequence represented by the priority sequence numbers of the M auxiliary resource sides;

and executing the resource data operation associated with the N sub-instructions in a serial execution mode based on the sequence characterized by the execution sequence numbers of the N target resource parties.

According to an embodiment of the present disclosure, after the generating of the total instruction by the dominant resource party, the method further includes:

performing passability verification on the total instruction;

If the result of the pass-through check is that the pass-through check is not passed, the operation of splitting the total instruction into N sub-instructions is terminated.

Another aspect of the present disclosure provides a blockchain network-based data processing apparatus, comprising:

an acquisition module configured to acquire transaction data from a first blockchain network by a dominant resource party in a second blockchain network, wherein a node in the first blockchain network includes a plurality of transaction parties, the node in the second blockchain network includes a target transaction party of the plurality of transaction parties, the dominant resource party, and M co-resource parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, the M is a positive integer;

the instruction processing module is used for generating a total instruction by the dominant resource party based on the transaction data and the resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by the target transaction party in the second blockchain network, the N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties comprise the dominant resource party and/or comprise part or all of the M auxiliary resource parties, and the N is a positive integer;

And the instruction execution module is used for responding to the N sub-instructions and completing the resource data operation associated with the N sub-instructions by the N target resource parties.

According to an embodiment of the present disclosure, the acquisition module includes:

an authentication request sending unit for sending an operation authentication request to the notary resource party through the notary authentication contract interface,

and the acquisition unit is used for acquiring transaction data from the first blockchain network under the condition that the certification of the notarized resource party passes.

According to an embodiment of the present disclosure, wherein:

the notarized resource party and the dominant resource party correspond to the same subject body.

According to an embodiment of the present disclosure, wherein the instruction processing module comprises:

the computing unit is used for computing and obtaining the respective comprehensive scores of the M auxiliary resource parties;

the sequencing unit is used for sequencing the M auxiliary resource parties according to the respective comprehensive scores of the M auxiliary resource parties, and generating respective priority sequence numbers of the M auxiliary resource parties;

the intention instruction sending unit is used for sequentially sending the intention instructions to the M cooperative resource parties based on the priority sequence numbers of the M cooperative resource parties;

the feedback receiving unit is used for receiving feedback data of the M cooperative resource parties aiming at the intention instruction;

And the splitting unit is used for splitting the total instruction into N sub-instructions according to the feedback data.

According to an embodiment of the disclosure, historical financing record data about M auxiliary resource parties is stored in a second blockchain network;

the calculation unit includes:

the acquisition subunit is used for acquiring historical financing record data from the second blockchain network;

and the calculating subunit is used for calculating and obtaining the comprehensive scores of the M auxiliary resource parties based on the historical financing record data.

According to an embodiment of the present disclosure, wherein the instruction execution module comprises:

the execution sequence number generation unit is used for generating N execution sequence numbers of the target resource parties according to the sequence represented by the priority sequence numbers of the M auxiliary resource parties;

and the execution unit is used for executing the resource data operation associated with the N sub-instructions in a serial execution mode based on the sequence represented by the execution sequence numbers of the N target resource parties.

According to an embodiment of the present disclosure, after the generating of the total instruction by the dominant resource party, the method further includes:

the verification module is used for carrying out passability verification on the total instruction;

and the termination module is used for terminating the operation of splitting the total instruction into N sub-instructions under the condition that the result of the pass verification is not passed.

Another aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the data processing method described above.

Another aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described data processing method.

Another aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described data processing method.

According to the embodiment of the disclosure, by establishing a dual-blockchain network mechanism, the method is different from the existing single-chain processing mode, the functions are distinguished by the dual-chain processing mode, the first blockchain mainly executes the transaction function, the second blockchain mainly executes the financing function, further, transaction data are acquired from the first blockchain network through the second blockchain network, namely, data sharing between the two blockchain networks is realized in the second blockchain network, and data sharing and resource fusion operations between the multilevel clients and the multilevel fund parties are realized in the second blockchain network. The implementation difficulty of the block chain technology is reduced, and the technical problem that the block chain network in the related technology cannot realize data sharing between the multi-stage clients and the multi-stage fund parties is solved. In addition, the block chain network is functionally distinguished, only a single functional business purpose is realized in the single block chain network, the data interaction and the identity authentication mechanism in the network are greatly reduced, and the efficiency of the data interaction is improved. In addition, in terms of business, the transaction flow is decoupled from the financing flow, so that complex procedures of operation of the financing party are reduced, invalid rollback of the system is avoided, resources are occupied, and the data interaction efficiency and data security of the whole blockchain network are improved.

According to the embodiment of the disclosure, unlike conventional business operation, a financing party needs to submit a plurality of instructions for financing application respectively, the method of the embodiment of the disclosure generates the total instruction based on transaction data and a resource fusion request by a dominant resource party, splits the total instruction into N sub-instructions, and the transaction party only needs to submit one financing application instruction and then performs instruction splitting processing by the dominant resource party.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of a blockchain network-based data processing method, apparatus, device, medium, and program product according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a blockchain network-based data processing method in accordance with an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow diagram for acquiring transaction data from a first blockchain network in accordance with embodiments of the present disclosure;

FIG. 4 schematically illustrates a network structure diagram of a first blockchain network and a second blockchain network in accordance with embodiments of the present disclosure;

FIG. 5 schematically illustrates a block diagram of a block chain network based data processing apparatus in accordance with an embodiment of the present disclosure;

fig. 6 schematically illustrates a block diagram of an electronic device adapted to implement a blockchain network-based data processing method in accordance with an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc., of the data involved (including, but not limited to, user personal information) all comply with relevant legal regulations, are used for legal purposes, and do not violate well-known. In particular, necessary measures are taken for personal information of the user, illegal access to personal information data of the user is prevented, and personal information security, network security and national security of the user are maintained.

In embodiments of the present disclosure, the user's authorization or consent is obtained before the user's personal information is obtained or collected.

It should be noted that, the data processing method and apparatus according to the embodiments of the present disclosure are applied to the blockchain technical field and the big data technical field, and may also be applied to the financial technical field, and may also be applied to any field other than the blockchain technical field, the big data technical field and the financial field, and the application field of the data processing method and apparatus according to the embodiments of the present disclosure is not limited.

The embodiment of the disclosure provides a data processing method based on a blockchain network, which comprises the following steps: obtaining transaction data from a first blockchain network by a dominant resource party in a second blockchain network, wherein a node in the first blockchain network comprises a plurality of transaction parties, the node in the second blockchain network comprises a target transaction party, the dominant resource party and M auxiliary resource parties in the plurality of transaction parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, and M is a positive integer; generating a total instruction by a dominant resource party based on transaction data and a resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by a target transaction party in a second blockchain network, N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties comprise the dominant resource party and/or comprise part or all of M auxiliary resource parties, and N is a positive integer; in response to the N sub-instructions, resource data operations associated with the N sub-instructions are performed by the N target resource parties.

Fig. 1 schematically illustrates an application scenario diagram of a blockchain network-based data processing method, apparatus, device, medium and program product according to an embodiment of the present disclosure.

As shown in fig. 1, an application scenario 100 according to this embodiment may include a first blockchain network 101 and a second blockchain network 102.

The first blockchain network 101 and the second blockchain network 102 respectively comprise a plurality of nodes, the plurality of nodes in the first blockchain network 101 are used for data interaction through a network, and the plurality of nodes in the second blockchain network 102 are used for data interaction through the network. Cross-chain interactions between the first blockchain network 101 and the second blockchain network 102 may also occur over a network.

The first blockchain network 101 and the second blockchain network 102 may each be a network carrier that serves the purpose of implementing different functions, enabling data sharing between network nodes. For example, the first blockchain network 101 is used for achieving transaction purposes through request corresponding operations between nodes, sharing transaction data between network nodes, and the second blockchain network 102 is used for achieving financing purposes through instruction interaction between nodes, sharing financing data between network nodes.

Cross-data interaction sharing may also be implemented between the first blockchain network 101 and the second blockchain network 102, e.g., transaction data in the first blockchain network 101 may be shared to nodes in the second blockchain network 102, and financing data in the second blockchain network 102 may also be shared to nodes in the first blockchain network 101.

It should be understood that the number of first and second blockchain networks 101 and 102 in fig. 1 is merely illustrative. There may be any number of blockchain networks as desired for an implementation.

The data processing method of the disclosed embodiment will be described in detail below with reference to fig. 2 to 6 based on the scenario described in fig. 1.

Fig. 2 schematically illustrates a flowchart of a blockchain network-based data processing method in accordance with an embodiment of the present disclosure.

As shown in fig. 2, the data processing method of this embodiment includes operations S201 to S203.

In operation S201, transaction data is obtained from a first blockchain network by a dominant resource party in a second blockchain network, wherein a node in the first blockchain network includes a plurality of transaction parties, the node in the second blockchain network includes a target transaction party, the dominant resource party, and M co-resource parties among the plurality of transaction parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, and M is a positive integer;

In operation S202, generating a total instruction by a dominant resource party based on transaction data and a resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by a target transaction party in a second blockchain network, the N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties include the dominant resource party and/or include part or all of M co-resource parties, and N is a positive integer;

in operation S203, in response to the N sub-instructions, resource data operations associated with the N sub-instructions are performed by the N target resource parties.

The data processing method based on the blockchain network according to the embodiment can be applied in a financial financing scenario, in which a business participant includes a plurality of transaction parties having a fund demand and a plurality of resource parties providing a fund supply, and the resource parties can be further divided into a dominant resource party and an assisting resource party.

The blockchain network structure upon which the data processing method according to this embodiment is based may include a first blockchain network and a second blockchain network. The first and second blockchain networks each include a plurality of nodes therein. The first blockchain network and the second blockchain network are respectively used as network carriers for achieving different functional purposes, and data sharing among network nodes is achieved. Specifically, the first blockchain network is used for realizing transaction purposes through corresponding operation of requests among nodes, realizing sharing of transaction data among network nodes, and the second blockchain network is used for realizing financing purposes through instruction interaction among the nodes, and realizing sharing of financing data among the network nodes.

In the context of embodiments of the present disclosure, a plurality of nodes in a first blockchain network include a plurality of transaction parties (e.g., a core enterprise and a subordinate provider) that have a funds requirement, transaction data is generated through trade transactions between the core enterprise and the subordinate provider, and the transaction data is shared to the first blockchain network, enabling sharing of the transaction data between the nodes.

The plurality of nodes in the second blockchain network comprise target transaction parties in the plurality of transaction parties, wherein the target transaction parties serve as financing clients and are sponsors of financing requests, and financing application pushing can be initiated in the supply chain platform system based on the digital certificates.

The plurality of nodes in the second blockchain network also include a plurality of resource parties (e.g., financial institutions, financial corporations, warranty corporations, other cooperating financial institutions, etc.) that provide funding, which can be further divided into dominant and auxiliary resource parties.

Cross-data interaction sharing may be achieved between the first and second blockchain networks, e.g., transaction data in the first blockchain network may be shared to nodes in the second blockchain network, and financing data in the second blockchain network may also be shared to nodes in the first blockchain network.

Specifically, in the embodiment of the present disclosure, sharing of transaction data in the second blockchain network is achieved by acquiring transaction data from the first blockchain network by a dominant resource party in the second blockchain network in operation S201.

The dominant resource party is used as a head-involved resource party for financing, and the M auxiliary resource parties are used as resource providers for assisting financing. After the target transaction party initiates the resource fusion request in the second blockchain network, the master resource party serves as a head-of-line resource party for financing, and in response to the resource fusion request initiated by the target transaction party, the master resource party generates a total instruction based on the acquired transaction data and the resource fusion request, and the master resource party is responsible for sending financing intent to the M auxiliary resource parties, and splits the total instruction into N sub-instructions according to feedback results of the M auxiliary resource parties. In the financial institution providing resources, since credit risk is involved, transaction data between a plurality of transaction parties needs to be acquired, risk assessment is performed based on transaction amount and the like, and the amount of resources suitable for providing by the financial institution is determined so as to reduce the credit risk.

For example, the target transaction party a provider initiates 1000 ten thousand financing applications, the dominant resource party a financial institution generates a total instruction indicating that the first provider needs 1000 ten thousand financing and sends financing intent queries to M auxiliary resource parties, and according to feedback results of the M auxiliary resource parties, intent resource parties among the M auxiliary resource parties have financing intent and feedback intent financing quantity to the dominant resource party (e.g., the first resource party intent provides 200 ten thousand and the second resource party intent provides 300 ten thousand … …), and the dominant resource party itself may also have financing intent (e.g., the dominant resource party intent provides 200 ten thousand), so that the intent resource parties among the M auxiliary resource parties and the dominant resource party together form N target resource parties.

The financial institution of the dominant resource party A further splits the total instruction into N sub-instructions according to the intent financing amount fed back by the M auxiliary resource parties, wherein the N sub-instructions are in one-to-one correspondence with the N target resource parties, and if the sub-instruction 1 indicates that the dominant resource party provides 200 ten thousands; sub-instruction 2 instructs the alpha resource party to provide 200 tens of thousands; sub-instruction 3 instructs the b resource party to provide 300 tens of thousands … ….

Finally, in operation S203, the N target resource parties execute resource data operations associated with the N sub-instructions one by one, thereby completing the release of the financing loan.

In a resource fusion scene based on a blockchain technology, due to the fact that multiple business functions such as transaction among multiple levels of transaction parties, resource fusion among multiple levels of resource parties and the like are involved, business operation among multiple parties is complex, if the multi-level transaction party is implemented based on the same blockchain network, data interaction and identity authentication mechanisms between multiple levels of clients and multiple levels of fund parties become very complex, technical implementation difficulty is high, and data interaction efficiency and data security are difficult to guarantee. Therefore, in the related art, the processing method based on the single blockchain is mostly used for connecting the upstream client, the downstream client and the single fund party through the single blockchain, and data sharing between the multi-stage client and the multi-stage fund party cannot be realized.

According to the embodiment of the disclosure, by establishing a dual-blockchain network mechanism, the method is different from the existing single-chain processing mode, the functions are distinguished by the dual-chain processing mode, the first blockchain mainly executes the transaction function, the second blockchain mainly executes the financing function, further, transaction data are acquired from the first blockchain network through the second blockchain network, namely, data sharing between the two blockchain networks is realized in the second blockchain network, and data sharing and resource fusion operations between the multilevel clients and the multilevel fund parties are realized in the second blockchain network. The implementation difficulty of the block chain technology is reduced, and the technical problem that the block chain network in the related technology cannot realize data sharing between the multi-stage clients and the multi-stage fund parties is solved. In addition, the block chain network is functionally distinguished, only a single functional business purpose is realized in the single block chain network, the data interaction and the identity authentication mechanism in the network are greatly reduced, and the efficiency of the data interaction is improved. In addition, in terms of business, the transaction flow is decoupled from the financing flow, so that complex procedures of operation of the financing party are reduced, invalid rollback of the system is avoided, resources are occupied, and the data interaction efficiency and data security of the whole blockchain network are improved.

According to the embodiment of the disclosure, unlike conventional business operation, a financing party needs to submit a plurality of instructions for financing application respectively, the method of the embodiment of the disclosure generates the total instruction based on transaction data and a resource fusion request by a dominant resource party, splits the total instruction into N sub-instructions, and the transaction party only needs to submit one financing application instruction and then performs instruction splitting processing by the dominant resource party.

Fig. 3 schematically illustrates a flow diagram for acquiring transaction data from a first blockchain network in accordance with an embodiment of the disclosure.

As shown in fig. 3, acquiring transaction data from a first blockchain network includes operations S301-S303.

In operation S301, an operation authentication request is sent to a notary resource party by a master resource party through a notary authentication contract interface;

in operation S302, transaction data is obtained from a first blockchain network in the event that the notarized party authentication passes.

According to the embodiment of the disclosure, the security of data interaction in two blockchain networks is improved through the operation of notarization resource party authentication.

Further, the notarized resource party and the dominant resource party correspond to the same subject entity, e.g., to the same financial institution.

Fig. 4 schematically illustrates a network structure diagram of a first blockchain network and a second blockchain network in accordance with embodiments of the present disclosure.

As shown in fig. 4, each of the first and second blockchain networks includes a plurality of nodes therein.

The plurality of nodes in the first blockchain network include a plurality of transaction parties having a funding requirement, such as a core enterprise and a level 1-N provider. Transaction data is generated through trade transactions between the core enterprise and the subordinate suppliers and between the subordinate suppliers, and the transaction data is shared to the first blockchain network, so that sharing of the transaction data among nodes is realized.

The first blockchain network also includes a notarized resource party, such as a financial institution. The core enterprise, the first-level provider and the N-level provider initiate transactions in a supply chain platform system, the supply chain platform system generates digital certificates of the liability and liability relationships between buyers and sellers under basic transaction contract terms, the certificates can be freely split and circulated, and relevant certificate information is uploaded to financial institutions serving as notarized resource parties according to supply chain trade circulation interface specifications. The electronic digital certificate flow financing records the upper block chain on the whole supply chain, so that information sharing among notarized resource parties, supply chain platform systems, core enterprises and suppliers at all levels is ensured, and data cannot be tampered.

The plurality of nodes in the second blockchain network include a target transaction party of the plurality of transaction parties, e.g., a target provider of level 1-N providers as a target transaction party, the target provider as a financing client, as an initiator of the financing request, may initiate a financing application push based on a supply chain platform system holding digital credentials in the second blockchain network.

The plurality of nodes in the second blockchain network also include a plurality of resource parties (e.g., financial institutions, financial corporations, warranty corporations, other cooperating financial institutions, etc.) that provide funding, which can be further divided into dominant and auxiliary resource parties. The master resource party is used as a head-of-traction resource party for financing, is responsible for generating a total instruction based on a financing request initiated by a target transaction party, and is responsible for splitting and pushing the instruction. All levels of provider electronic digital certificate financing records the blockchain, and ensures that information sharing and data non-falsification of all fund parties are ensured.

Under the scene of the embodiment of the disclosure, cross-data interaction sharing can be realized between the first blockchain network and the second blockchain network, before the second blockchain network acquires information from the first blockchain network, an operation authentication request needs to be sent to a notarized resource party in the first blockchain network, and under the condition that the request authentication passes, the party can acquire data.

As shown in fig. 4, the notarized resource party and the dominant resource party correspond to the same subject entity, e.g., to the same financial institution. The object body belongs to a node of the first blockchain network and also belongs to a node of the second blockchain network, so that the object body holds transaction data information in the first blockchain network and financing data information in the second blockchain network at the same time, and therefore, the object body is set as a notary, and the safety of data sharing can be ensured.

Based on Notary authentication mechanism (Notary) blockchain cross-chain technology, a Notary resource party (dominant resource party) serves as a cross-chain Notary, data information is transmitted in two blockchain network cross-chain interoperation through unified Notary authentication contract interface intervention, and electronic certificate numbers of core enterprise issuing and sub-client splitting, circulation and financing are recorded.

According to an embodiment of the present disclosure, after the generating of the total instruction by the dominant resource party, the method further includes: performing a passability check on the total instruction in the second blockchain network by the dominant resource party; if the result of the pass-through check is that the pass-through check is not passed, the operation of splitting the total instruction into N sub-instructions is terminated.

The total instruction includes a total application amount of resources for initiating the resource fusion application and transaction data (such as transaction amount) generated by initiating the transaction by the target transaction party, and the total instruction is subjected to pass verification, for example, a master resource party performs risk assessment based on the transaction data to determine the amount of resources suitable for being provided by the resource party so as to reduce credit risk. Further, the passing verification of the total instruction also comprises partner admittance check, client admittance control, service admittance control, account blacklist, gray list and special list control, accident risk identification, service processing flow compliance judgment, fund flow monitoring and the like, and if the total instruction is not passed, the subsequent quota splitting processing flow is not entered, and the financing of the financing party is returned to fail.

According to an embodiment of the present disclosure, splitting the total instruction into N sub-instructions includes performing, by the dominant resource party, the following operations in the second blockchain network:

and (2) operating 1, and calculating to obtain the respective comprehensive scores of the M auxiliary resource parties. The comprehensive score reflects the financing intention of the resource party, and the higher the score is, the higher the financing intention of the resource party is.

2, sorting the M auxiliary resource parties according to the respective comprehensive scores of the M auxiliary resource parties, and generating respective priority sequence numbers of the M auxiliary resource parties; for example, the priority numbers of the M co-resource parties may be generated by sorting the combined scores in order from high to low.

And 3, sequentially sending intention instructions to the M auxiliary resource parties based on the priority sequence numbers of the M auxiliary resource parties. For example, according to the sequence of the priority sequence numbers, firstly, an intention instruction is sent to the assistance resource party with higher financing intention, and secondly, an intention instruction is sent to the assistance resource party with lower financing intention.

For example, the target transaction party a provider initiates a 1000 ten thousand financing application, and the dominant resource party a financial institution generates a total instruction indicating that the party a provider needs 1000 ten thousand financing. If there is a financing intent on the dominant resource party itself, the dominant resource party first determines an intent amount, e.g., 200 ten thousand dominant resource party intent offers. Then the dominant resource party splits the quota, the split remaining quota is 800 ten thousand.

And 4, receiving feedback data of the M auxiliary resource parties for the intention instruction.

For example, after the dominant resource party splits the quota, the remaining quota is assembled into an intent instruction, indicating that 800 ten thousand financing intent is currently available. The financial institution of the leading resource party A firstly sends an intention instruction to the resource party 1 with the forefront priority according to the sequence of the priority sequence numbers, and receives a feedback result, for example, the intention of the resource party 1 provides 200 ten thousand. Then the dominant resource party again splits the credit, assembles the remaining credit (600 ten thousand) into the intent instruction, and sends the intent instruction … … to the resource party 2 in the next order until the 1000 ten thousand money is claimed.

And 5, splitting the total instruction into N sub-instructions according to the feedback data. The master resource party A financial institution further splits the total instruction into N sub-instructions according to the intent financing amount for assisting the feedback of the resource party, the N sub-instructions are in one-to-one correspondence with N target resource parties, and if the sub-instruction 1 indicates that the master resource party provides 200 ten thousands; sub-instruction 2 instructs the alpha resource party to provide 200 tens of thousands; sub-instruction 3 instructs the b resource party to provide 300 tens of thousands … ….

After the master resource party splits the total instruction into N sub-instructions, a supply chain joint financing protocol maintenance table can be assembled and generated, and the table fields comprise, for example, the joint financing share, a host network point number, an affiliated client manager, personalized contract execution interest rate, personalized interest rate floating point number and the like, are associated with an inventory client information table, a supply chain service table and the like, and are newly added with fields such as a hanging service handling mode, a product type, a supply chain platform and the like.

According to the embodiment of the disclosure, the intention instruction is sequentially sent to the M auxiliary resource parties based on the priority sequence numbers of the M auxiliary resource parties. Then firstly sending an intention instruction to the assisting resource party with higher financing intention, and secondly sending an intention instruction to the assisting resource party with lower financing intention. Therefore, invalid intent query operation is reduced, financing success rate can be improved, and efficiency of data processing and business processing is improved.

According to the embodiment of the disclosure, after the master resource side generates the total instruction, the block link point information data table can be called, the supply chain code, the core enterprise code and the multi-level sub-client code are matched according to the current total instruction sequence number, the supply chain basic information table and the trade information table of each node are obtained, and the total instruction table of the supply chain financing application is recorded.

According to the embodiment of the disclosure, after the master resource party splits the total instruction into N sub-instructions, a data complement instruction may be sent to N target resource parties, and each target resource party is instructed to complement data, so as to generate a sub-instruction table.

The target resource party can acquire key data for feedback by calling various data interfaces, for example, calling a legal customer service sharing service interface, acquiring a region to which a service of the customer sharing data belongs, acquiring a region to which a service in a regional uploading cooperation protocol table belongs, determining a service variety uploading insurance service, setting personnel uploading a customer manager teller number in the cooperation protocol table, and the like.

The target resource party can be added to judge whether the operation of the loan account of the corresponding settlement house of the sub-client manager exists. And judging whether the payment account is equal to the settlement account on the instruction, the area where the loan account is located is equal to the area where the business of the joint loan agreement list is located, and the like by calling a legal customer loan account information inquiry interface. If the loan account corresponding to the settlement house is stored, automatically inputting, if the loan account does not exist, continuing to execute the loan account corresponding to the settlement house by the open sub-customer sponsor, calling the direct drive open loan account interface by the legal customer, uploading the host area code in the joint loan agreement table by the host area code, uploading the host network point code in the joint loan agreement table by the host network point code, uploading the area where the loan account belongs to the business in the joint loan agreement table to the area where the loan account belongs, and uploading the settlement account on the instruction by the settlement account.

According to the embodiment of the disclosure, after a master resource party splits a total instruction into N sub-instructions 1, a joint loan agreement query interface can be called to obtain a joint loan agreement table, all fund party parameters of a cooperation agreement are traversed, parameters of which area codes are the same as those of an area to which a business on the instruction belongs are obtained, supply chain codes and current total instruction serial numbers are matched, a financing instruction comparison table is written, a splitting generation instruction number, an application number, a contract number, a borrowing number, an area to which the business belongs (an input mechanism and a final modification mechanism), a host area number, a host network point number and a customer manager teller number are split according to an agreement table amount ratio and an interest rate parameter, and a loan amount and a personalized interest level are generated to generate the total instruction table.

For example, table 1 below illustrates an example of the type of information in the total instruction table and the various sub-instruction tables.

TABLE 1

According to an embodiment of the disclosure, historical financing record data for M auxiliary resource parties is stored in a second blockchain network; in the above operation 1, calculating, by the dominant resource party, the respective integrated scores of the M dominant resource parties in the second blockchain network includes:

first, historical financing record data of M auxiliary resource parties is obtained from a second blockchain network. The historical financing record data for the assisting resource party may specifically include data in several dimensions:

1. Supply chain financing dimension: traversing the block chain node information data table by the dominant resource party to acquire records of whether the auxiliary resource party participates in the financing application or not;

2. financing client dimension: traversing financing contract borrowing data in a blockchain node information data table by a dominant resource party to acquire resource lending times of an auxiliary resource party;

3. historical approval efficiency dimension: determining a resource issuing time interval, such as a payment day, by associating the financing application time in the blockchain node information data table with the resource issuing time in the financing contract by a dominant resource party;

and then, calculating and obtaining the respective comprehensive scores of the M auxiliary resource parties based on the historical financing record data.

Specifically, based on the three-dimensional data, the comprehensive score of each auxiliary resource party comprises:

and according to the record of whether the assisting resource party participates in the financing application, if so, assigning 1, and if not, assigning 0.

And according to the resource lending times of the auxiliary resource party, if the resource lending times are greater than or equal to the preset times, assigning 1, otherwise assigning 0, for example, if the resource lending times are greater than or equal to 1 and assigning 1, assigning 0 to the non-resource lending record.

And according to the length of the resource release time interval, if the resource release time is greater than the preset threshold value and is assigned to 0, and if the resource release time is less than the preset threshold value and is assigned to 1, for example, if the resource release time is greater than 1 day and is assigned to 0, the resource release time is assigned to 1 day.

And adding the scores of the dimensions to obtain the comprehensive score of the resource party.

The score calculated by the method can comprehensively reflect the financing intention of the resource party, is convenient for searching the optimal combination to realize supply chain joint financing matching, and improves the service processing efficiency.

According to an embodiment of the present disclosure, performing a resource data operation associated with N sub-instructions includes:

firstly, generating execution sequence numbers of N target resource sides according to the sequence represented by the priority sequence numbers of each of M auxiliary resource sides; for example, among the 10 auxiliary resource parties, 4 auxiliary resource parties have resource providing intention, and as 4 target resource parties, priority sequence numbers thereof are respectively: resource Fang Yi: 3. resource Fang Jia: 2; resource Fang Bing: 5. square blocks of resources: 7, regenerating the execution sequence numbers of the 4 auxiliary resource parties according to the sequence of the priority sequence numbers: resource Fang Jia: 1, a step of; resource Fang Yi: 2. resource Fang Bing: 3. square blocks of resources: 4.

And then, executing the resource data operation associated with the N sub-instructions in a serial execution mode based on the sequence characterized by the execution sequence numbers of the N target resource parties.

Specifically, in the process of serial execution, before the execution of the next sub-instruction, the execution result of the previous instruction is obtained, the execution result is checked, and when the check of the execution result of the previous instruction passes, the next sub-instruction is executed. Otherwise, the subsequent sub-instruction processing flow is not entered, and the financing failure of the financing party is returned.

According to the embodiment of the disclosure, the resource data operation is executed in a serial execution mode, compared with the parallel execution mode in the conventional technology, although the whole execution time is prolonged, under the condition that the previous instruction execution result is checked and passed, the subsequent sub-instruction processing flow is not entered, so that the execution of invalid instructions by wasting computing resources can be avoided, and the waste of database resources caused by frequent execution of data rollback after the execution error is avoided.

Based on the data processing method, the disclosure also provides a data processing device. The device will be described in detail below in connection with fig. 5.

FIG. 5 schematically illustrates a block diagram of a block chain network based data processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 5, the blockchain network-based data processing apparatus 500 of this embodiment includes an acquisition module 501, an instruction processing module 502, and an instruction execution module 503.

An obtaining module 501, configured to obtain transaction data from a first blockchain network by a dominant resource party in a second blockchain network, where a node in the first blockchain network includes a plurality of transaction parties, and a node in the second blockchain network includes a target transaction party, the dominant resource party, and M assisted resource parties in the plurality of transaction parties, where the transaction data is generated in the first blockchain network by the plurality of transaction parties, and M is a positive integer;

the instruction processing module 502 is configured to generate, by the dominant resource party, a total instruction based on the transaction data and a resource fusion request, and split the total instruction into N sub-instructions, where the resource fusion request is initiated by the target transaction party in the second blockchain network, the N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties include the dominant resource party and/or include part or all of the M auxiliary resource parties, and the N is a positive integer;

An instruction execution module 503, configured to respond to the N sub-instructions, and complete, by the N target resource parties, resource data operations associated with the N sub-instructions.

According to the embodiments of the present disclosure, by establishing a dual-blockchain network mechanism, different from the existing single-chain processing manner, by differentiating functions through the dual-chain processing manner, transaction data is acquired from a first blockchain network through an acquisition module 501 by a second blockchain network, that is, data sharing between two blockchain networks is performed, and data sharing and resource fusion operations between a multi-stage client and a multi-stage fund party are implemented in the second blockchain network through an instruction processing module 502 and an instruction execution module 503. The implementation difficulty of the block chain technology is reduced, and the technical problem that the block chain network in the related technology cannot realize data sharing between the multi-stage clients and the multi-stage fund parties is solved. In addition, the block chain network is functionally distinguished, only a single functional business purpose is realized in the single block chain network, the data interaction and the identity authentication mechanism in the network are greatly reduced, and the efficiency of the data interaction is improved. In addition, in terms of business, the transaction flow is decoupled from the financing flow, so that complex procedures of operation of the financing party are reduced, invalid rollback of the system is avoided, resources are occupied, and the data interaction efficiency and data security of the whole blockchain network are improved.

According to the embodiment of the disclosure, unlike conventional business operations, the financing party needs to submit a plurality of instructions to apply for financing respectively, the instruction processing module 502 in the embodiment of the disclosure generates the total instruction based on the transaction data and the resource fusion request by the dominant resource party, and splits the total instruction into N sub-instructions, and the transaction party only needs to submit one financing application instruction, and then the dominant resource party performs instruction splitting processing, thereby reducing the processing complexity of submitting a plurality of instructions by the financing party and improving the business processing efficiency.

According to an embodiment of the present disclosure, the acquisition module 501 includes an authentication request transmitting unit, an acquisition unit.

The authentication request sending unit is used for sending an operation authentication request to the notary resource party through the notary authentication contract interface; and the acquisition unit is used for acquiring transaction data from the first blockchain network under the condition that the certification of the notarized resource party passes.

According to an embodiment of the present disclosure, wherein the notarized resource partner and the dominant resource partner correspond to the same object principal.

According to an embodiment of the present disclosure, the instruction processing module 502 includes a calculating unit, a sorting unit, an intent instruction sending unit, a feedback receiving unit, and a splitting unit.

The computing unit is used for computing and obtaining the respective comprehensive scores of the M auxiliary resource parties; the sequencing unit is used for sequencing the M auxiliary resource parties according to the respective comprehensive scores of the M auxiliary resource parties, and generating respective priority sequence numbers of the M auxiliary resource parties; the intention instruction sending unit is used for sequentially sending the intention instructions to the M cooperative resource parties based on the priority sequence numbers of the M cooperative resource parties; the feedback receiving unit is used for receiving feedback data of the M cooperative resource parties aiming at the intention instruction; and the splitting unit is used for splitting the total instruction into N sub-instructions according to the feedback data.

According to an embodiment of the disclosure, historical financing record data for M co-resource parties is stored in a second blockchain network.

The calculating unit comprises an acquisition subunit and a calculating subunit.

The acquisition subunit is used for acquiring historical financing record data from the second blockchain network; and the calculating subunit is used for calculating and obtaining the comprehensive scores of the M auxiliary resource parties based on the historical financing record data.

According to an embodiment of the present disclosure, the instruction execution module 503 includes an execution sequence number generation unit and an execution unit.

The execution sequence number generation unit is used for generating the execution sequence numbers of the N target resource parties according to the sequence represented by the priority sequence numbers of the M auxiliary resource parties; and the execution unit is used for executing the resource data operation associated with the N sub-instructions in a serial execution mode based on the sequence represented by the execution sequence numbers of the N target resource parties.

According to the embodiment of the disclosure, after the master resource side generates the total instruction, a checking module and a termination module are further included.

The verification module is used for carrying out passability verification on the total instruction; and the termination module is used for terminating the operation of splitting the total instruction into N sub-instructions under the condition that the result of the pass verification is not passed.

Any of the fetch module 501, the instruction processing module 502, the instruction execution module 503 may be combined in one module to be implemented, or any of the modules may be split into multiple modules, according to embodiments of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. At least one of the acquisition module 501, the instruction processing module 502, the instruction execution module 503 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or by hardware or firmware, such as any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware, in accordance with embodiments of the present disclosure. Alternatively, at least one of the acquisition module 501, the instruction processing module 502, the instruction execution module 503 may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

Fig. 6 schematically illustrates a block diagram of an electronic device adapted to implement a blockchain network-based data processing method in accordance with an embodiment of the present disclosure.

As shown in fig. 6, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. The processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. Processor 601 may also include on-board memory for caching purposes. The processor 601 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. The processor 601 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or the RAM 603. Note that the program may be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 600 may also include an input/output (I/O) interface 605, the input/output (I/O) interface 605 also being connected to the bus 604. The electronic device 600 may also include one or more of the following components connected to an input/output (I/O) interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to an input/output (I/O) interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 602 and/or RAM 603 and/or one or more memories other than ROM 602 and RAM 603 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code means for causing a computer system to carry out the data processing methods provided by the embodiments of the present disclosure when the computer program product is run on the computer system.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 601. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of signals over a network medium, and downloaded and installed via the communication section 609, and/or installed from the removable medium 611. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 601. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims (11)

1. A data processing method based on a blockchain network, comprising:

obtaining transaction data from a first blockchain network by a dominant resource party in a second blockchain network, wherein nodes in the first blockchain network comprise a plurality of transaction parties, the nodes in the second blockchain network comprise a target transaction party, the dominant resource party and M auxiliary resource parties in the plurality of transaction parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, and M is a positive integer;

Generating a total instruction by the dominant resource party based on the transaction data and a resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by the target transaction party in the second blockchain network, the N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties comprise the dominant resource party and/or comprise part or all of the M auxiliary resource parties, and the N is a positive integer;

responsive to the N sub-instructions, completing, by the N target resource parties, resource data operations associated with the N sub-instructions.

2. The method of claim 1, the node in the first blockchain network further comprising a notarized party, the obtaining transaction data from the first blockchain network comprising:

sending an operation authentication request to the notary resource party through a notary authentication contract interface;

and under the condition that the certification of the notarized resource party passes, acquiring transaction data from a first blockchain network.

3. The method according to claim 2, wherein:

the notarized resource party and the dominant resource party correspond to the same subject entity.

4. The method of claim 1, wherein splitting the total instruction into N sub-instructions comprises:

Calculating to obtain respective comprehensive scores of the M auxiliary resource parties;

according to the respective comprehensive scores of the M auxiliary resource parties, sequencing the M auxiliary resource parties to generate respective priority sequence numbers of the M auxiliary resource parties;

sequentially sending intention instructions to the M auxiliary resource parties based on the priority sequence numbers of the M auxiliary resource parties;

receiving feedback data of the M auxiliary resource parties for the intention instruction;

and splitting the total instruction into N sub-instructions according to the feedback data.

5. The method of claim 4, wherein the second blockchain network has stored therein historical financing record data for the M co-resource parties;

the calculation to obtain the respective comprehensive scores of the M auxiliary resource parties comprises the following steps:

acquiring the historical financing record data from the second blockchain network;

and calculating and obtaining the comprehensive scores of the M auxiliary resource parties based on the historical financing record data.

6. The method of claim 4, wherein completing the resource data operation associated with the N sub-instructions comprises:

generating execution sequence numbers of the N target resource sides according to the sequence represented by the priority sequence numbers of the M auxiliary resource sides;

And executing the resource data operation associated with the N sub-instructions in a serial execution mode based on the sequence represented by the execution sequence numbers of the N target resource parties.

7. The method of claim 1, wherein after generating the overall instruction by the dominant resource party, further comprising:

performing pass verification on the total instruction;

and if the result of the pass verification is that the pass verification is not passed, terminating the operation of splitting the total instruction into N sub-instructions.

8. A blockchain network-based data processing device, comprising:

an acquisition module configured to acquire transaction data from a first blockchain network by a dominant resource party in a second blockchain network, wherein a node in the first blockchain network includes a plurality of transaction parties, the node in the second blockchain network includes a target transaction party of the plurality of transaction parties, the dominant resource party, and M co-resource parties, wherein the transaction data is generated in the first blockchain network by the plurality of transaction parties, the M is a positive integer;

the instruction processing module is used for generating a total instruction by the dominant resource party based on the transaction data and the resource fusion request, and splitting the total instruction into N sub-instructions, wherein the resource fusion request is initiated by the target transaction party in the second blockchain network, the N sub-instructions are in one-to-one correspondence with N target resource parties, the N target resource parties comprise the dominant resource party and/or comprise part or all of the M auxiliary resource parties, and the N is a positive integer;

And the instruction execution module is used for responding to the N sub-instructions and completing the resource data operation associated with the N sub-instructions by the N target resource parties.

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.

11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.