New digital recording method based on different application scenes

Abstract

The invention discloses a new digital recording method based on different application scenarios, and belongs to the technical field of data, and the digital recording method specifically comprises the following steps: I, extracting corresponding transaction data, and storing the transaction data through a server; iI, calculating a new numerical value by combining any transaction number with the same corresponding path in the transaction numerical values with a golden proportion; iII, storing and recording numerical values after calculation of any transaction numerical values with the same source and path and two groups of new numerical values after calculation of a golden proportion formula; the method combines the numerical value calculated by the golden proportion of the digital technology, optimizes the regularity, uniformity and storage and reading processes of transaction data, reduces the calculation redundancy, enables the data processing to be more efficient, is used as a judgment index for the cyclic utilization of digital economic resources, promotes the innovation and development of the green digital economic technology, and improves the economic efficiency. Therefore, an enterprise can understand information behind the transaction data more deeply, and a more accurate business strategy can be made.

Description

Technical Field

[0001] The present invention relates to the field of data technology, and in particular to a new digital recording method based on different application scenarios. Background Art

[0002] With the rapid development of the digital economy, especially in the widespread application of financial services, e-commerce and blockchain technology, the generation and processing of transaction data has shown explosive growth. How to efficiently and accurately store, manage and analyze these massive amounts of data has become one of the important challenges facing today's enterprises. Traditional relational databases often show performance bottlenecks when faced with such a large amount of transaction data, and cannot meet the needs of real-time data processing and high concurrent access. This leads to increased data delays, errors and security risks, affecting user experience and the accuracy of corporate decision-making. Therefore, it is urgent to explore novel data processing methods to improve the efficiency and reliability of data management; therefore, it becomes particularly important to invent a new digital recording method based on different application scenarios.

[0003] The existing new digital recording methods based on different application scenarios have complex storage and reading processes for transaction data, with a lot of computational redundancy, and are unable to efficiently process transaction data, reducing the response speed of the overall transaction system and not conducive to helping companies formulate accurate business strategies. To this end, we propose a new digital recording method based on different application scenarios. Summary of the invention

[0004] The purpose of the present invention is to solve the defects in the prior art and to propose a new digital recording method based on different application scenarios.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A new digital recording method based on different application scenarios, the specific steps of the digital recording method are as follows: Ⅰ. Extract the transaction data corresponding to the needle and store it through the server; Ⅱ. Calculate the new value of any transaction number with the same corresponding path in the transaction value through the golden ratio; III. Stores the calculated value of any transaction with the same record source and two new values ​​calculated by the golden ratio formula; IV. Accumulate and display the new value after the golden ratio calculation of the transaction value and generate an analysis report; V. After the transaction numbers are processed, the cumulative digital records of the transaction numbers with the same source are verified.

[0006] As a further solution of the present invention, the server storage specific steps in step I are as follows: Q1.1: Extract the specified transaction value from the front-end page, then the server receives and records the original transaction data, and temporarily stores the transaction data in the buffer area, and extracts the historical transaction data from the server to construct a set of transaction data sequences; Q1.2: Input each transaction value sequence into the LSTM model, and the model outputs the predicted value of the next transaction data, and obtains the reasonable range of the transaction amount based on the preset error range, and then compares the received current transaction data with the predicted range; Q1.3: If the transaction data is within the predicted range, the transaction value is considered valid; otherwise, it is marked as an abnormal transaction and triggers further manual verification or rejection of the transaction. After the verification is passed, the server stores the current transaction data and verification results in the server and updates the historical transaction data sequence.

[0007] As a further solution of the present invention, the specific steps of calculating the new value by the golden ratio in step II are as follows: Q2.1: Query the server to obtain the current transaction value, and calculate the new value based on the current transaction value using the golden ratio formula to obtain the larger value b after calculation and the smaller value c after ab; Q2.2: Use the golden ratio formula to verify the values ​​of b and c, calculate b+c, and compare the calculated value with the original transaction value a. If b+c=a, the golden ratio formula calculation is valid; if not, recalculate the value or record the error information; Q2.3: After confirming that the numerical result calculated by the golden ratio formula is valid, the server will insert the new transaction number b value and the new transaction number c value into the corresponding fields respectively, and record the new number time and all values ​​with the same source of the transaction ID.

[0008] As a further solution of the present invention, the specific calculation formula of the golden ratio formula in Q2.1 is as follows: , In the formula, A numerical value representing the golden ratio; represents the remaining value after deducting the golden ratio value from the a value of a single transaction, and The value can be used as the next step Differentiation calculation processing, where It is the calculation formula of the golden ratio, and the value of the golden ratio is the most scientific numerical formula, and it can be represented by any number in different application scenarios; Represents the value of this single transaction; and the values ​​of a, b, and c must all be positive numbers.

[0009] As a further solution of the present invention, the specific steps of calculating the value after calculating any transaction value with the same storage record source in step III and calculating two sets of new values ​​after calculating the golden ratio formula are as follows: Q3.1: The server establishes a preliminary storage model based on the storage requirements and the digital structure, and then preliminarily defines the digital table and fields based on the storage location of each group of numbers. It also constructs an optimized tree structure based on the preliminary storage model, and represents each group of nodes in the optimized tree as a storage option. Q3.2: The initial storage state is used as the root node of the optimization tree, and potential storage paths are added to the subsequent child nodes of the root node. Starting from the root node, the server randomly selects a storage path for simulation, and during the simulation, records the key indicators of storage and access time and success rate; Q3.3: Repeat the selection simulation multiple times until the preset number of simulations is reached. After the simulation is completed, the server summarizes the results of all simulated storage paths, calculates the average storage time and success rate of each path, and selects the path with the shortest storage time and the lowest failure rate as the best performing path, and records the characteristics of the path; Q2.4: The server uses the selected storage path to insert the values ​​of the new transaction number b and the new transaction number c into the server's internal database, and stores them along the optimal path, recording the metadata of the storage process. At the same time, the performance of the storage system is regularly evaluated, and the access speed and access error rate are recorded. If low storage efficiency or slow access speed is detected, re-optimization is performed.

[0010] As a further solution of the present invention, the specific steps of accumulating and displaying the new value after calculating the golden ratio of the transaction value and generating the analysis report in step IV are as follows: Q4.1: The server records the new transaction value of the golden ratio value of each transaction value, calculates the cumulative sum of the values ​​corresponding to the transaction values ​​of each group of golden ratio values, and displays the cumulative record on the page; Q4.2: Insert the accumulated new numerical results into a dedicated table and associate them with the corresponding transaction records, while recording the calculation time, transaction ID and corresponding metadata. Then verify, test and calculate the core value of the transaction value of the golden ratio value, and display the core value and corresponding verification information in a unified format on the user interface.

[0011] Compared with the prior art, the present invention has the following beneficial effects: 1. This new digital recording method based on different application scenarios extracts the specified transaction value from the front-end page, and then the server receives and records the original transaction data, and verifies each set of extracted transaction data. After the verification is passed, the current transaction data and verification results are stored in the server, and the server is queried to obtain the current transaction value. According to the current transaction value, the new value is calculated by the golden ratio formula to obtain the calculated larger value and the smaller value. The server verifies the two sets of calculated transaction data and compares the calculation result with the original transaction data. After confirming that the numerical result calculated by the golden ratio formula is valid, the server will insert the two sets of transaction data into the corresponding fields respectively, and record the segmentation time and transaction ID metadata. The server records the golden ratio value of each transaction value. The new transaction value is obtained, and the cumulative sum of the values ​​corresponding to the transaction values ​​of each group of golden ratio values ​​is calculated, and the cumulative records are displayed on the page. The cumulative new value results are inserted into a special table, and the corresponding transaction records are associated with the calculation time, transaction ID and corresponding metadata. After that, the core value of the transaction value of the golden ratio value is verified, tested and calculated, and the core value and the corresponding verification information are unified in format and displayed on the user interface. The values ​​calculated by the golden ratio of digital technology are used to optimize the regularity, uniformity, storage and reading processes of transaction data, reduce calculation redundancy, make data processing more efficient, and be used as a judgment indicator for the recycling of digital economic resources. It promotes the innovation and development of green digital economic technologies, enables enterprises to have a deeper understanding of the information behind transaction data, and helps to formulate more accurate business strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0013] Figure 1 This is a flowchart of a new digital recording method based on different application scenarios proposed by the present invention. DETAILED DESCRIPTION Example

[0014] Reference Figure 1 , a new digital recording method based on different application scenarios, the specific steps of the digital recording method are as follows: The transaction data corresponding to the needle is extracted and stored through the server.

[0015] Specifically, the specified transaction value is extracted from the front-end page, and then the server receives and records the original transaction data, and temporarily stores the transaction data in the cache area. The historical transaction data is extracted from the server to construct a set of transaction data sequences. Each transaction value sequence is input into the LSTM model, and the model outputs the predicted value for the next transaction data, and obtains a reasonable range of transaction amounts based on a preset error range. The current transaction data received is then compared with the predicted range. If the transaction data is within the predicted range, the transaction value is considered valid; otherwise, it is marked as an abnormal transaction, and further manual verification or rejection of the transaction is triggered. After the verification is passed, the server stores the current transaction data and the verification result in the server, and updates the historical transaction data sequence at the same time.

[0016] For any transaction numbers with the same corresponding path in the transaction value, a new value is calculated using the golden ratio.

[0017] Specifically, query the server to obtain the transaction value of the current transaction, calculate the new value based on the transaction value through the golden ratio formula to obtain the larger value b after calculation and the smaller value c after ab, verify the values ​​b and c through the golden ratio formula, calculate b+c, and compare the calculated value with the original transaction value a. If b+c=a, it means that the golden ratio formula calculation is valid; if not, it is necessary to recalculate the value or record an error message. After confirming that the value calculated by the golden ratio formula is valid, the server will insert the new transaction number b and the new transaction number c into the corresponding fields respectively, and record the new number time and all values ​​with the same source of the transaction ID.

[0018] In this embodiment, the specific calculation formula of the golden ratio is as follows: , In the formula, A numerical value representing the golden ratio; represents the remaining value after deducting the golden ratio value from the a value of a single transaction, and The value can be used as the next step Differentiation calculation processing, where It is the formula for calculating the golden ratio; Represents the value of this single transaction; and the values ​​of a, b, and c must all be positive numbers. Example

[0019] Reference Figure 1 , a new digital recording method based on different application scenarios, the specific steps of the digital recording method are as follows: The storage records include the calculated value of any transaction with the same source and two new values ​​calculated by the golden ratio formula.

[0020] Specifically, the server establishes a set of preliminary storage models according to storage requirements and digital structures, and then preliminarily defines digital tables and fields according to the storage locations of each set of numbers, and constructs an optimization tree structure according to the preliminary storage model. At the same time, each set of nodes in the optimization tree is represented as a storage selection, and the initial storage state is used as the root node of the optimization tree, and potential storage paths are added for subsequent child nodes of the root node. Starting from the root node, the server randomly selects a storage path for simulation, and during the simulation process, records the key indicators of storage and access time and success rate, repeats the selection simulation for multiple times, and stops after reaching a preset number of simulations. After completing the simulation, the server summarizes the results of all simulated storage paths, calculates the average storage time and success rate of each path, and takes the path with the shortest storage time and the lowest failure rate as the best performing path, and records the characteristics of the path. The server uses the selected storage path to insert the values ​​of the new transaction number b and the new transaction number c into the internal database of the server, and stores them according to the optimal path, records the metadata of the storage process, and regularly evaluates the performance of the storage system, records the access speed and access error rate, and re-optimizes if low storage efficiency or slow access speed is detected.

[0021] The new value after the golden ratio calculation of the transaction value is cumulatively displayed and an analysis report is generated.

[0022] Specifically, the server records the new transaction value of the golden ratio value of each transaction value, calculates the cumulative sum of the values ​​corresponding to the transaction values ​​of each group of golden ratio values, and displays the cumulative records on the page, inserts the cumulative new value results into a special table, and associates the corresponding transaction records, and records the calculation time, transaction ID and corresponding metadata, and then verifies, examines and calculates the core value of the transaction value of the golden ratio value, and displays the core value and corresponding verification information in a unified format on the user interface.

[0023] After the transaction numbers are processed, the cumulative digital records of the transaction values ​​with the same source of the transaction numbers are verified.

Claims

1. A new digital recording method based on different application scenarios, characterized in that: The specific steps of the digital recording method are as follows: Ⅰ. Extract the transaction data corresponding to the needle and store it through the server; Ⅱ. Calculate the new value of any transaction number with the same corresponding path in the transaction value through the golden ratio; III. Stores the calculated value of any transaction with the same record source and two new values ​​calculated by the golden ratio formula; IV. Accumulate and display the new value after the golden ratio calculation of the transaction value and generate an analysis report; V. After the transaction numbers are processed, the cumulative digital records of the transaction numbers with the same source are verified.

2. A new digital recording method based on different application scenarios according to claim 1, characterized in that: The specific steps of server storage in step I are as follows: Q1.1: Extract the specified transaction value from the front-end page, then the server receives and records the original transaction data, and temporarily stores the transaction data in the buffer area, and extracts the historical transaction data from the server to construct a set of transaction data sequences; Q1.2: Input each transaction value sequence into the LSTM model, and the model outputs the predicted value of the next transaction data, and obtains the reasonable range of the transaction amount based on the preset error range, and then compares the received current transaction data with the predicted range; Q1.3: If the transaction data is within the predicted range, the transaction value is considered valid; otherwise, it is marked as an abnormal transaction and triggers further manual verification or rejection of the transaction. After the verification is passed, the server stores the current transaction data and verification results in the server and updates the historical transaction data sequence.

3. A new digital recording method based on different application scenarios according to claim 2, characterized in that: The specific steps for calculating the new value through the golden ratio in step II are as follows: Q2.1: Query the server to obtain the current transaction value, and calculate the new value based on the current transaction value using the golden ratio formula to obtain the larger value b after calculation and the smaller value c after ab; Q2.2: Use the golden ratio formula to verify the values ​​of b and c, calculate b+c, and compare the calculated value with the original transaction value a. If b+c=a, the golden ratio formula calculation is valid; if not, recalculate the value or record the error information; Q2.3: After confirming that the numerical result calculated by the golden ratio formula is valid, the server will insert the new transaction number b value and the new transaction number c value into the corresponding fields respectively, and record the new number time and all values ​​with the same source of the transaction ID.

4. A new digital recording method based on different application scenarios according to claim 3, characterized in that: The specific calculation formula of the golden ratio mentioned in Q2.1 is as follows: , In the formula, The value representing the golden ratio; represents the remaining value after deducting the golden ratio value from the a value of a single transaction, and The value can be used as the next step Differentiation calculation processing, where It is the formula for calculating the golden ratio; Represents the value of this single transaction; and the values ​​of a, b, and c must all be positive numbers.

5. A new digital recording method based on different application scenarios according to claim 3, characterized in that: The specific steps of calculating the value after calculating any transaction value with the same storage record source in step III and the two sets of new values ​​calculated by the golden ratio formula are as follows: Q3.1: The server establishes a preliminary storage model based on the storage requirements and the digital structure, and then preliminarily defines the digital table and fields based on the storage location of each group of numbers. It also constructs an optimized tree structure based on the preliminary storage model, and represents each group of nodes in the optimized tree as a storage option. Q3.2: The initial storage state is used as the root node of the optimization tree, and potential storage paths are added to the subsequent child nodes of the root node. Starting from the root node, the server randomly selects a storage path for simulation, and during the simulation, records the key indicators of storage and access time and success rate; Q3.3: Repeat the selection simulation multiple times until the preset number of simulations is reached. After the simulation is completed, the server summarizes the results of all simulated storage paths, calculates the average storage time and success rate of each path, and selects the path with the shortest storage time and the lowest failure rate as the best performing path, and records the characteristics of the path; Q3.4: The server uses the selected storage path to insert the values ​​of the new transaction number b and the new transaction number c into the server's internal database, and stores them along the optimal path, recording the metadata of the storage process. At the same time, the performance of the storage system is regularly evaluated, and the access speed and access error rate are recorded. If low storage efficiency or slow access speed is detected, re-optimization is performed.

6. A new digital recording method based on different application scenarios according to claim 5, characterized in that: The specific steps for calculating the new value after calculating the golden ratio of the cumulative display transaction value and generating an analysis report in step IV are as follows: Q4.1: The server records the new transaction value of the golden ratio value of each transaction value, calculates the cumulative sum of the values ​​corresponding to the transaction values ​​of each group of golden ratio values, and displays the cumulative record on the page; Q4.2: Insert the accumulated new numerical results into a dedicated table and associate them with the corresponding transaction records, while recording the calculation time, transaction ID and corresponding metadata. Then verify, test and calculate the core value of the transaction value of the golden ratio value, and display the core value and corresponding verification information in a unified format on the user interface.

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