CN117273974A - Large enterprise expense reimbursement data generation and verification method based on block chain consensus - Google Patents
Large enterprise expense reimbursement data generation and verification method based on block chain consensus Download PDFInfo
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Abstract
The invention relates to a large enterprise expense reimbursement data generation and verification method based on block chain consensus, which comprises the following steps: performing hash operation on the reimbursement key data of the same push batch, generating three types of hash values, packaging the three types of hash values together with a time stamp and a unique index into a block, sending the block to a blockchain system, and simultaneously storing the time stamp, the unique index and the reimbursement key data into a local database; and in the process of payment of the fee, carrying out batch hash value verification and comparison on the reimbursement key data in the same push batch, initiating payment if the comparison is successful, suspending payment if the comparison is unsuccessful, and positioning the tampered reimbursement key data according to the document hash value and the detail hash value. The invention can locate the tampered detail data and effectively ensure the authenticity and non-tamper property of the related expense reimbursement key data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a large-scale enterprise expense reimbursement data generation and verification method based on block chain consensus.
Background
At present, in large enterprises, the expense reimbursement is still a more common scene in daily offices, and the development trend of the expense reimbursement is changing to online reimbursement and man reimbursement modes, so that the reimbursement modes of 'comprehensive paperless reimbursement and man reimbursement' are realized, and the convenience and timeliness of the expense reimbursement are greatly improved.
However, cost reimbursement in large enterprises has its own uniqueness. Because the staff number is numerous in the enterprise, the quantity of the expense reimbursement receipts, invoices, money and the like related to the enterprise is often huge, and each staff has the authority of creating, inputting and modifying the receipts, so that the data sources are extremely wide. Thus, large enterprises have a large amount of complex expense reimbursement data, and key parts of the data are directly related to the practical interests of the enterprises, so that the authenticity and the non-tamper property of the data are very important. How to guarantee the authenticity and the non-falsifiability of the reimbursement key data becomes a pain point and a difficulty in popularizing a novel expense reimbursement mode in a current large enterprise.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a large-scale enterprise expense reimbursement data generation and verification method based on block chain consensus, which can locate tampered detail data and effectively ensure the authenticity and non-tamper property of related expense reimbursement key data.
The technical scheme adopted for solving the technical problems is as follows: the large enterprise expense reimbursement data generation and verification method based on block chain consensus comprises the following steps:
performing hash operation on the reimbursement key data of the same push batch, generating three types of hash values, packaging the three types of hash values together with a time stamp and a unique index into a block, sending the block to a blockchain system, and simultaneously storing the time stamp, the unique index and the reimbursement key data into a local database; the three hash values are respectively: the method comprises the steps of calculating a batch hash value, a document hash value and a detail hash value, wherein the batch hash value is obtained by calculating according to a reimbursement single number, reimbursement key data, a time stamp of pushing time, an operation user ID and a unique index of the same pushing batch; the receipt hash value is obtained by calculation according to the reimbursement single number and reimbursement key data; the detail hash value is obtained by calculation according to single reimbursement key data;
and in the process of payment of the fee, carrying out batch hash value verification and comparison on the reimbursement key data in the same push batch, initiating payment if the comparison is successful, suspending payment if the comparison is unsuccessful, and positioning the tampered reimbursement key data according to the document hash value and the detail hash value.
The reimbursement key data comprises invoice amount, invoice code, invoice number, verification result, reimbursement amount and approval history.
The batch hash value is obtained by: and carrying out SHA-256 hash operation on the reimbursement single number, reimbursement key data, the time stamp of the pushing time, the operation user ID and the unique index of the same pushing batch to obtain a batch hash value.
The document hash value is obtained by the following steps: carrying out SHA-256 hash operation on the reimbursement single number and reimbursement key data of each single according to the reimbursement single number to obtain N bill hash values, and numbering, storing and packaging according to the reimbursement single number; wherein N represents the number of reimbursement sheets.
The detail hash value is obtained by the following method: carrying out SHA-256 hash operation on each item of reimbursement key data in each reimbursement list number to obtain N multiplied by M detail hash values, and numbering, storing and packaging according to reimbursement document numbers; wherein N represents the number of reimbursement unit numbers, and M represents the number of items of reimbursement key data.
In the process of paying the fees, verifying and comparing batch hash values of the reimbursement key data in the same push batch, if the comparison is successful, then the payment is initiated, and if the comparison is failed, the payment is suspended, specifically:
searching a block storing the batch of reimbursement key data in a block chain system according to the unique index, and acquiring a time stamp, a batch hash value, a receipt hash value and a detail hash value stored in the block;
performing hash operation on the unique index, the reimbursement single number corresponding to the unique index, the acquired time stamp, reimbursement key data stored in a local database and the operation user ID to obtain a current batch hash value;
comparing the consistency of the current batch hash value with the obtained batch hash value, and if the current batch hash value is consistent with the obtained batch hash value, indicating that the batch reimbursement key data is not tampered, and initiating payment; if the two types of the data are inconsistent, indicating that one or more single types in the batch of reimbursement key data are tampered, and suspending payment.
The method for positioning tampered reimbursement key data according to the document hash value and the detail hash value specifically comprises the following steps:
according to the reimbursement receipts of the batch stored in the local database, carrying out hash operation on key reimbursement data of the reimbursement receipts one by one to obtain N receipt hash values, carrying out one-to-one comparison with the obtained receipt hash values, and positioning receipt numbers inconsistent in receipt hash value comparison, wherein N represents the number of reimbursement receipts;
and aiming at the document numbers inconsistent in comparison, acquiring reimbursement key data corresponding to the document numbers from a local database, performing hash operation on each item in the reimbursement key data one by one, performing one-to-one comparison with the acquired detail hash values, and positioning the detail data inconsistent in comparison of the detail hash values.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: according to the invention, the reimbursement key data is calculated in batches through a reimbursement data consensus uplink mechanism, and is packaged into blocks together with the time stamp and the unique index, and finally the reimbursement key data generated in the expense reimbursement bill and the approval process is ensured to be true and reliable through the consensus process of the distributed nodes in the block chain system. Meanwhile, through comparison and verification of the hash values of the reimbursement data, the consistence comparison of the hash values of the reimbursement key data in the bill of lading approval process and the hash values of the reimbursement key data in the payment process is carried out step by step, the tampered data is positioned, the tamper resistance of the data is effectively improved, and the practical benefit of enterprises is further maintained.
Drawings
FIG. 1 is a flow chart of a large enterprise expense reimbursement data generation verification method based on blockchain consensus in accordance with an embodiment of the present invention.
Detailed Description
The invention will be further illustrated with reference to specific examples. It is to be understood that these examples are illustrative of the present invention and are not intended to limit the scope of the present invention. Further, it is understood that various changes and modifications may be made by those skilled in the art after reading the teachings of the present invention, and such equivalents are intended to fall within the scope of the claims appended hereto.
The embodiment of the invention relates to a large-scale enterprise expense reimbursement data generation and verification method based on block chain consensus, which is shown in fig. 1 and comprises two parts of contents of reimbursement data consensus uplink and reimbursement data hash value comparison verification, wherein the reimbursement data consensus uplink is as follows: hash operation is carried out on the reimbursement key data of the same push certificate batch, the unique index, the operation user ID and the timestamp together to generate a batch hash value, hash operation is carried out on the reimbursement key data of single pairs together and independently to generate a bill hash value and a detail hash value, and finally the generated 3 types of hash values, the unique index and the timestamp are packed into a block for consensus and uplink. The comparison and verification of the hash value of the reimbursement data are as follows: and searching hash values corresponding to the same batch of reimbursement key data stored on the blockchain according to the unique index, performing consistency comparison step by step with hash values generated by the stock data corresponding to the local database to obtain a comparison verification result, and positioning tampered reimbursement key data.
In this embodiment, a data consensus uplink mechanism is introduced in the cost reimbursement process. After the user performs OCR recognition on the invoice to be reimbursed, the system acquires the recognized return value and stores the return value into a local database. And then, a cloud service invoice verification interface is called, an invoice verification result is further obtained, and the authenticity of important invoice information such as the non-tax amount, the price tax total, the invoice code, the invoice number and the like is confirmed. And the invoice verification result is simultaneously stored in a local database. And the subsequent user creates a reimbursement bill and associates the invoice to be reimbursed, fills in the related reimbursement information, submits the reimbursement information, and examines and approves step by step until the examination and approval is finished. The amount to be reimbursed and the approval history (approval person, approval opinion and approval time) are synchronously stored in a local database.
The data generated in the reimbursement process comprises invoice amount, invoice code, invoice number, verification result, reimbursement amount, approval history and the like which are reimbursement key data, and the original values of the reimbursement key data are stored in a local database and can be searched according to the document number. The cancellation key data is consensus-linked by the steps of:
(A) Aiming at the reimbursement bill number, invoice amount, invoice code, invoice number, verification result, reimbursement amount and approval history of the same push certificate batch, carrying out SHA-256 hash operation on the reimbursement bill number, invoice amount, invoice number, verification result, reimbursement amount and approval history, together with a time stamp of push time, an operation user ID and a unique index UID, and obtaining a 1 batch hash value;
(B) Aiming at the batch of reimbursement sheets (N sheets) related in the step (A), carrying out SHA-256 hash operation on reimbursement sheet numbers, invoice amounts, invoice codes, invoice numbers, verification results, reimbursement amounts and approval histories of each sheet according to reimbursement sheet numbers to obtain N document hash values, and numbering, storing and packaging according to reimbursement document numbers;
(C) Taking the reimbursement receipts of the batch in the step (B), independently carrying out SHA-256 hash operation on each item of 6 items of detail data of the invoice amount, the invoice code, the invoice number, the verification result, the reimbursement amount and the approval history under each receipt to obtain 6 XN detail hash values, and numbering, storing and packaging according to reimbursement receipt numbers;
(D) Packaging the batch hash value, the bill hash value, the detail hash value, the time stamp and the unique index obtained in the step (A), (B) and (C) into a block together, sending the block to a block chain system, and storing the time stamp and the unique index into a local database;
(E) The distributed nodes of the block chain system perform verification consensus on the blocks based on a Practical Bayesian Fault Tolerance (PBFT) consensus mechanism, and after the consensus is finished, the consensus result is returned to the system and broadcast to the whole network, and meanwhile, the blocks are uploaded to the block chain.
The present embodiment introduces a data hash value comparison verification mechanism in the fee payment process. After the expense reimbursement and approval process is finished, the certificate is pushed and the fund payment process is initiated. After the process is finished, the reimbursement personnel will receive reimbursement. If during this time the reimbursement critical data such as invoice amount, reimbursement amount is tampered with, the payment result will be directly affected.
Therefore, in the present embodiment, hash verification and comparison are performed on the reimbursement key data in the same push certificate batch in the fee payment process, if the comparison is successful, the payment is initiated, if the comparison is failed, the payment is suspended, and the tampered reimbursement key data is located, and the specific verification and comparison steps are as follows:
(a) Searching a block for storing the batch of reimbursement key data in a block chain system according to the unique index, and acquiring a time stamp, a batch hash value, N bill hash values and 6 multiplied by N detail hash values stored in the block;
(b) Carrying out SHA-256 hash operation again on the unique index, the reimbursement single number corresponding to the unique index, the time stamp obtained in the step (a), reimbursement key data stored in a local database and the operation user ID to obtain a current batch hash value;
(c) Comparing the consistency of the batch hash value obtained in the step (a) with the batch hash value calculated in the step (b), wherein if the comparison is consistent, the batch reimbursement key data is not tampered, and payment is initiated; if the comparison is inconsistent, indicating that one or more of the batch of reimbursement key data are tampered, and suspending payment;
(d) If the batch hash values compared in the step (c) are inconsistent, indicating that the batch reimbursement key data is tampered. According to the batch of reimbursement receipts stored in the local database, carrying out SHA-256 hash operation on reimbursement key data of the reimbursement receipts one by one to obtain N receipt hash values, carrying out one-to-one comparison with the N receipt hash values obtained in the step (a), and positioning to receipt numbers with inconsistent receipt hash value comparison;
(e) And (c) aiming at the document numbers inconsistent in comparison, acquiring reimbursement key data corresponding to the document numbers from a local database, performing SHA-256 hash operation singly one by one, performing one-to-one comparison with the detail hash values acquired in the step (a), positioning the detail hash values to compare the inconsistent detail data, and finding tampered data.
It is easy to find that the invention calculates 3 kinds of hash values of the reimbursement key data in batches through a reimbursement data consensus uplink mechanism, packages the reimbursement key data together with a time stamp and a unique index into blocks, and finally uploads the block chain through a consensus process of distributed nodes in the block chain system, thereby guaranteeing the real and reliable reimbursement key data generated in the expense reimbursement bill and approval process. Meanwhile, through comparison and verification of the hash values of the reimbursement data, the consistence comparison of the hash values of the reimbursement key data in the bill of lading approval process and the hash values of the reimbursement key data in the payment process is carried out step by step, the tampered data is positioned, the tamper resistance of the data is effectively improved, and the practical benefit of enterprises is further maintained.
Claims (7)
1. The large enterprise expense reimbursement data generation verification method based on block chain consensus is characterized by comprising the following steps of:
performing hash operation on the reimbursement key data of the same push batch, generating three types of hash values, packaging the three types of hash values together with a time stamp and a unique index into a block, sending the block to a blockchain system, and simultaneously storing the time stamp, the unique index and the reimbursement key data into a local database; the three hash values are respectively: the method comprises the steps of calculating a batch hash value, a document hash value and a detail hash value, wherein the batch hash value is obtained by calculating according to a reimbursement single number, reimbursement key data, a time stamp of pushing time, an operation user ID and a unique index of the same pushing batch; the receipt hash value is obtained by calculation according to the reimbursement single number and reimbursement key data; the detail hash value is obtained by calculation according to single reimbursement key data;
and in the process of payment of the fee, carrying out batch hash value verification and comparison on the reimbursement key data in the same push batch, initiating payment if the comparison is successful, suspending payment if the comparison is unsuccessful, and positioning the tampered reimbursement key data according to the document hash value and the detail hash value.
2. The blockchain consensus-based large-scale business fee reimbursement data generation verification method according to claim 1, wherein the reimbursement key data comprises an invoice amount, an invoice code, an invoice number, a verification result, a reimbursement amount and an approval history.
3. The blockchain consensus-based large enterprise expense reimbursement data generation verification method according to claim 1, wherein the batch hash value is obtained by: and carrying out SHA-256 hash operation on the reimbursement single number, reimbursement key data, the time stamp of the pushing time, the operation user ID and the unique index of the same pushing batch to obtain a batch hash value.
4. The blockchain consensus-based large enterprise expense reimbursement data generation verification method according to claim 1, wherein the document hash value is obtained by: carrying out SHA-256 hash operation on the reimbursement single number and reimbursement key data of each single according to the reimbursement single number to obtain N bill hash values, and numbering, storing and packaging according to the reimbursement single number; wherein N represents the number of reimbursement sheets.
5. The blockchain consensus-based large enterprise expense reimbursement data generation verification method according to claim 1, wherein the detail hash value is obtained by: carrying out SHA-256 hash operation on each item of reimbursement key data in each reimbursement list number to obtain N multiplied by M detail hash values, and numbering, storing and packaging according to reimbursement document numbers; wherein N represents the number of reimbursement unit numbers, and M represents the number of items of reimbursement key data.
6. The large-scale enterprise expense reimbursement data generation verification method based on blockchain consensus according to claim 1, wherein the verification and comparison of the batch hash value are carried out on reimbursement key data in the same push batch in the expense payment process, the payment is initiated if the comparison is successful, and the payment is suspended if the comparison is failed, specifically:
searching a block storing the batch of reimbursement key data in a block chain system according to the unique index, and acquiring a time stamp, a batch hash value, a receipt hash value and a detail hash value stored in the block;
performing hash operation on the unique index, the reimbursement single number corresponding to the unique index, the acquired time stamp, reimbursement key data stored in a local database and the operation user ID to obtain a current batch hash value;
comparing the consistency of the current batch hash value with the obtained batch hash value, and if the current batch hash value is consistent with the obtained batch hash value, indicating that the batch reimbursement key data is not tampered, and initiating payment; if the two types of the data are inconsistent, indicating that one or more single types in the batch of reimbursement key data are tampered, and suspending payment.
7. The blockchain consensus-based large-scale enterprise expense reimbursement data generation verification method according to claim 6, wherein the positioning the tampered reimbursement key data according to the document hash value and the detail hash value specifically comprises:
according to the reimbursement receipts of the batch stored in the local database, carrying out hash operation on key reimbursement data of the reimbursement receipts one by one to obtain N receipt hash values, carrying out one-to-one comparison with the obtained receipt hash values, and positioning receipt numbers inconsistent in receipt hash value comparison, wherein N represents the number of reimbursement receipts;
and aiming at the document numbers inconsistent in comparison, acquiring reimbursement key data corresponding to the document numbers from a local database, performing hash operation on each item in the reimbursement key data one by one, performing one-to-one comparison with the acquired detail hash values, and positioning the detail data inconsistent in comparison of the detail hash values.
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| CN117273974B (en) | 2024-02-06 |
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