Financial Data Intelligent Management System

Abstract

The present invention relates to a financial data intelligent management system. The system comprises a data extraction mechanism, a content generation mechanism, an object reshaping mechanism, an information analysis device, and a settlement request device. The system can realize intelligent financial data management.

Description

Technical Field

[0001] The present invention relates to the field of financial management, and more specifically, to an intelligent financial data management system. Background Art

[0002] The importance of financial management is reflected in many aspects. For individuals, good financial management can help achieve financial freedom and cope with various uncertainties in life, such as sudden illness and unemployment. It can allow individuals to maintain a high quality of life after retirement. For enterprises, effective financial management is the cornerstone of survival and development. It can optimize capital allocation, improve capital utilization efficiency, reduce financing costs, and enhance the competitiveness and risk resistance of enterprises. At the macro level, the quality of financial management is related to the stability and sustainable development of the entire economic system. Reasonable financial policies and supervision can prevent the accumulation and spread of financial risks, maintain the order of the financial market, and promote stable economic growth.

[0003] CN119273448A discloses a method and device for processing financial data, an electronic device and a storage medium, which belongs to the field of data processing technology and is applicable to the field of financial technology. The method includes: obtaining the total value of financial virtual resource demand and the original interest rate under a fixed period; obtaining the financial virtual resource data of the total value of financial virtual resource demand in multiple months under a fixed period, and determining the target total value of virtual resources based on multiple financial virtual resource data; in each cycle, performing a binary split processing based on the current search interval to obtain the middle interest rate in the corresponding search interval, and generating the corresponding estimated total value of virtual resources based on the middle interest rate in the current search interval and the total value of financial virtual resource demand; when the difference between the estimated total value of virtual resources and the target total value of virtual resources meets the cycle stop condition, the target interest rate under a fixed period is obtained based on the middle interest rate in the last search interval. This technology can improve the accuracy of actual interest rate calculation.

[0004] CN119272105A discloses a method and device for classifying financial data based on domain knowledge, which relates to the field of artificial intelligence and can also be used in the financial field, including: inputting the classified financial data in the annotated data set into various language models to determine the global domain keyword embedding representation and the expertise domain keyword embedding representation corresponding to the classified financial data; determining the large language model that matches the financial data to be classified according to the global domain keyword embedding representation and the expertise domain keyword embedding representation; and using the matched large language model to generate the classification result of the financial data to be classified. This technology can predict the subdivided field to which the data to be tested belongs, and give full play to the advantages of the model in each subdivided field, so as to improve the classification effect of financial data.

[0005] CN119272329A discloses a privacy protection method, device and computer program product for financial data. After obtaining a sensitive image, the present invention first performs a first pixel scrambling process on the sensitive image based on an image scrambling model to obtain a first-level scrambled sensitive image; then, according to the key model, a scrambling key sequence, a scrambling key sequence and an encryption key sequence are generated; then, the first-level scrambled sensitive image is subjected to a second pixel scrambling process using the scrambling key sequence to obtain a second-level scrambled sensitive image; then, the second-level scrambled sensitive image is subjected to a pixel scrambling process based on the scrambling key sequence to obtain a scrambled sensitive image; finally, the scrambled sensitive image can be encrypted using the encryption key sequence to obtain an encrypted sensitive image; in this way, the technology performs multi-level encryption processing on the sensitive image, making the original image invisible; based on this, the storage security of the sensitive image in the database is guaranteed. Summary of the invention

[0006] In order to solve the technical problems in the related fields, the present invention provides a financial data intelligent management system, which obtains various configuration information of a set Internet supermarket, wherein the various configuration information of the set Internet supermarket is the number of blocks managed by the set Internet supermarket, the cumulative value of the number of residents corresponding to each block managed by the set Internet supermarket, the types of goods sold by the set Internet supermarket, and the opening hours of the set Internet supermarket, and at the same time obtains the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket, and obtains the single sales financial data corresponding to the same time segment as the current time segment of the set Internet supermarket on the day before the current day, thereby providing sufficient and comprehensive basic information for the intelligent analysis of the sales amount and the income amount of a future time segment, i.e., the current time segment, of the set Internet supermarket, and performs recurrent neural network execution. The reshaping is performed to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing various learning operations and using it as the AI ​​judgment model. What is particularly critical is that the number of various learning operations performed on the recurrent neural network is positively correlated with the number of blocks managed by the set Internet supermarket, thereby completing the structural customization of AI judgment models with different structures for different Internet supermarkets, and when the amount of money received by the set Internet supermarket in the current time segment of the day obtained by intelligent analysis is greater than or equal to the set amount value, it is determined that a settlement request signal associated with the set Internet supermarket is triggered at the end of the current time segment of the day; otherwise, it is determined that a suspended settlement signal associated with the set Internet supermarket is triggered at the end of the current time segment of the day, thereby realizing intelligent financial data management of the Internet supermarket.

[0007] The present invention needs to have at least the following important invention points: First, obtaining various configuration information of the Internet supermarket, including the number of blocks managed by the Internet supermarket, the cumulative value of the number of residents corresponding to each block managed by the Internet supermarket, the types of goods sold by the Internet supermarket, and the opening hours of the Internet supermarket. At the same time, obtaining the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and obtaining the single sales financial data corresponding to the same time segment as the current time segment of the Internet supermarket on the day before the current day, so as to provide sufficient and comprehensive basic information for intelligent analysis of the sales amount and the income amount of the Internet supermarket in a future time segment, i.e., the current time segment; Second, reshaping the recurrent neural network to obtain an AI judgment model, wherein reshaping the recurrent neural network to obtain an AI judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing various learning operations and using it as the AI ​​judgment model, and it is particularly important that the number of various learning operations performed on the recurrent neural network is positively correlated with the number of blocks managed by the Internet supermarket, thereby completing the structural customization of AI judgment models with different structures for different Internet supermarkets; The third part: when the amount of money received by the set Internet supermarket in the current time segment of the day obtained by intelligent analysis is greater than or equal to the set amount value, it is determined that a settlement request signal associated with the set Internet supermarket is triggered at the end of the current time segment of the day; otherwise, it is determined that a suspended settlement signal associated with the set Internet supermarket is triggered at the end of the current time segment of the day, thereby realizing intelligent financial data management of the Internet supermarket.

[0008] According to the present invention, there is provided a financial data intelligent management system, the system comprising: A data extraction mechanism is used to obtain various configuration information of the set Internet supermarket, wherein the various configuration information of the set Internet supermarket is the number of blocks managed by the set Internet supermarket, the cumulative value of the number of residents corresponding to each block managed by the set Internet supermarket, the types of goods sold in the set Internet supermarket, and the opening time of the set Internet supermarket; The content generation mechanism is used to obtain the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtain the single sales financial data corresponding to the same time segment as the current time segment on the day before the current day of the set Internet supermarket; The object reshaping mechanism is used to reshape the recurrent neural network to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing various learning operations and use it as the AI ​​judgment model; The information analysis device is connected to the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively, and is used to introduce an AI judgment model to intelligently analyze the sales amount and the income amount of the Internet supermarket in the current time segment of the day according to the various configuration information of the Internet supermarket, the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and the single sales financial data corresponding to the same time segment as the current time segment of the day before the current time segment of the Internet supermarket; A settlement request device, connected to the information analysis device, is used to determine to trigger a settlement request signal associated with the set Internet supermarket at the end of the current time segment of the day when the amount of money received by the set Internet supermarket in the current time segment of the day is greater than or equal to the set amount value; The settlement request device is further used to determine to trigger a suspended settlement signal associated with the set Internet supermarket at the end of the current time segment of the day when the received amount of money received by the set Internet supermarket in the current time segment of the day is less than the set amount value; Wherein, obtaining the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining the single sales financial data corresponding to the same time segment as the current time segment on the day before the current time segment of the set Internet supermarket includes: the single sales financial data corresponding to each time segment of the set Internet supermarket is the sales amount and the income amount of the set Internet supermarket in the time segment; Among them, obtaining each set of sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining a single set of sales financial data corresponding to the same time segment as the current time segment on the day before the current day include: the current time segment of the current day takes the current moment as the starting moment and the duration of each time segment is the same.

[0009] The financial data intelligent management system of the present invention has reliable logic and stable operation. Since it can obtain various configuration information of the set Internet supermarket, it can then analyze the sales amount and the income amount of the set Internet supermarket in a future time segment, namely the current time segment, and when the income amount of the set Internet supermarket in the current time segment of the day obtained by intelligent analysis is greater than or equal to the set amount value, it is determined to trigger a settlement request signal associated with the set Internet supermarket at the end of the current time segment of the day, thereby realizing intelligent financial data management of the Internet supermarket. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0011] Figure 1It is a structural diagram of a financial data intelligent management system according to the primary embodiment of the present invention.

[0012] Figure 2 It is a structural diagram of a financial data intelligent management system according to a secondary embodiment of the present invention.

[0013] Figure 3 It is a structural diagram of a financial data intelligent management system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0014] In the prior art, since it is impossible to effectively predict the sales amount and revenue amount of each Internet supermarket in the current time segment, it is impossible to trigger the settlement request signal associated with the Internet supermarket when the revenue amount of the Internet supermarket in the current time segment of the day is greater than or equal to the set amount value, there is a disadvantage that the revenue amount stays in the remote branch financial account for a long time or the revenue financial settlement is too frequent.

[0015] Figure 1 1 is a schematic diagram of the structure of a financial data intelligent management system according to the primary embodiment of the present invention, the system comprising: A data extraction mechanism is used to obtain various configuration information of the set Internet supermarket, wherein the various configuration information of the set Internet supermarket is the number of blocks managed by the set Internet supermarket, the cumulative value of the number of residents corresponding to each block managed by the set Internet supermarket, the types of goods sold in the set Internet supermarket, and the opening time of the set Internet supermarket; Specifically, the data extraction mechanism includes a plurality of data capture components, which are used to respectively obtain the number of blocks managed by the set Internet supermarket, the cumulative values ​​of the number of residents corresponding to each block managed by the set Internet supermarket, the types of goods sold by the set Internet supermarket, and the opening time of the set Internet supermarket; The content generation mechanism is used to obtain the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtain the single sales financial data corresponding to the same time segment as the current time segment on the day before the current day of the set Internet supermarket; The object reshaping mechanism is used to reshape the recurrent neural network to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing various learning operations and use it as the AI ​​judgment model; The information analysis device is connected to the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively, and is used to introduce an AI judgment model to intelligently analyze the sales amount and the income amount of the Internet supermarket in the current time segment of the day according to the various configuration information of the Internet supermarket, the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and the single sales financial data corresponding to the same time segment as the current time segment of the day before the current time segment of the Internet supermarket; A settlement request device, connected to the information analysis device, is used to determine to trigger a settlement request signal associated with the set Internet supermarket at the end of the current time segment of the day when the amount of money received by the set Internet supermarket in the current time segment of the day is greater than or equal to the set amount value; The settlement request device is further used to determine to trigger a suspended settlement signal associated with the set Internet supermarket at the end of the current time segment of the day when the received amount of money received by the set Internet supermarket in the current time segment of the day is less than the set amount value; Wherein, obtaining the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining the single sales financial data corresponding to the same time segment as the current time segment on the day before the current time segment of the set Internet supermarket includes: the single sales financial data corresponding to each time segment of the set Internet supermarket is the sales amount and the income amount of the set Internet supermarket in the time segment; Among them, obtaining the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining the single sales financial data corresponding to the same time segment as the current time segment on the day before the current time segment includes: the current time segment of the current day takes the current time as the starting time and the duration of each time segment is the same; Among them, the object reshaping mechanism is used to reshape the recurrent neural network to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing each learning operation and using it as the AI ​​judgment model includes: the number of each learning operation performed on the recurrent neural network is positively correlated with the number of blocks managed by the set Internet supermarket.

[0016] Figure 2 It is a structural diagram of a financial data intelligent management system according to a secondary embodiment of the present invention.

[0017] and Figure 1 different, Figure 2 The financial data intelligent management system in the system can also include the following components: an image processing component, connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, respectively, for respectively improving the image quality of the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, so as to obtain respective image quality improved images corresponding to the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism; The image quality of the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism are respectively improved to obtain the image quality improved images corresponding to the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively, including: the first-layer image quality improvement performs dynamic range expansion operation on the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively; Wherein, the image quality of the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism are respectively improved to obtain the image quality improved images corresponding to the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively, and the sub-layer image quality improvement also includes: performing gamma correction operation on the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively; The image quality of the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism are respectively improved to obtain the image quality improved images corresponding to the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, and the like, further comprising: performing a point image restoration operation on the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively in the second layer image quality improvement; Among them, the image quality of each output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism is improved respectively to obtain each image quality improved image corresponding to the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, and also includes: the last layer image quality improvement performs median filtering operation on the output image signal of each of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism.

[0018] Figure 3 It is a structural diagram of a financial data intelligent management system according to another embodiment of the present invention.

[0019] and Figure 1 different, Figure 3 The financial data intelligent management system in the system can also include the following components: A serial configuration interface, connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, respectively, for respectively performing real-time configuration of the respective operating data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism; Wherein, the address configuration component is connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively, and is used to respectively perform real-time configuration of the respective operation data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, including: the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively have different serial configuration addresses; And wherein, the address configuration component is respectively connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, and is used to respectively perform real-time configuration of the respective operating data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, including: the address configuration component is an IIC configuration interface.

[0020] In addition, in the financial data intelligent management system, an AI judgment model is introduced to intelligently analyze the sales amount and the income amount of the Internet supermarket in the current time segment of the day according to the various configuration information of the Internet supermarket, the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and the single sales financial data corresponding to the same time segment as the current time segment of the Internet supermarket on the day before the current day. The sales amount and the income amount of the Internet supermarket in the current time segment of the day are set, including: inputting the various configuration information of the Internet supermarket, the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and the single sales financial data corresponding to the same time segment as the current time segment of the Internet supermarket on the day before the current day into the AI ​​judgment model in parallel, and running the AI ​​judgment model to obtain the sales amount and the income amount of the Internet supermarket in the current time segment of the day output by the AI ​​judgment model.

[0021] It is believed that the invention and many of its attendant advantages will be appreciated from the above description, and it is apparent that various changes may be made in the form, structure and arrangement of components without departing from the disclosed subject matter or sacrificing all of its substantial advantages. The form described is merely illustrative.

Claims

1. A financial data intelligent management system, characterized in that: The system comprises: A data extraction mechanism is used to obtain various configuration information of the set Internet supermarket, wherein the various configuration information of the set Internet supermarket is the number of blocks managed by the set Internet supermarket, the cumulative value of the number of residents corresponding to each block managed by the set Internet supermarket, the types of goods sold in the set Internet supermarket, and the opening time of the set Internet supermarket; The content generation mechanism is used to obtain the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtain the single sales financial data corresponding to the same time segment as the current time segment on the day before the current day of the set Internet supermarket; The object reshaping mechanism is used to reshape the recurrent neural network to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing various learning operations and use it as the AI ​​judgment model; The information analysis device is connected to the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively, and is used to introduce an AI judgment model to intelligently analyze the sales amount and the income amount of the Internet supermarket in the current time segment of the day according to the various configuration information of the Internet supermarket, the sales financial data corresponding to each time segment before the current time segment of the Internet supermarket, and the single sales financial data corresponding to the same time segment as the current time segment of the day before the current time segment of the Internet supermarket; A settlement request device, connected to the information analysis device, is used to determine to trigger a settlement request signal associated with the set Internet supermarket at the end of the current time segment of the day when the amount of money received by the set Internet supermarket in the current time segment of the day is greater than or equal to the set amount value; The settlement request device is further used to determine to trigger a suspended settlement signal associated with the set Internet supermarket at the end of the current time segment of the day when the received amount of money received by the set Internet supermarket in the current time segment of the day is less than the set amount value; Wherein, obtaining the sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining the single sales financial data corresponding to the same time segment as the current time segment on the day before the current time segment of the set Internet supermarket includes: the single sales financial data corresponding to each time segment of the set Internet supermarket is the sales amount and the income amount of the set Internet supermarket in the time segment; Among them, obtaining each set of sales financial data corresponding to each time segment before the current time segment of the set Internet supermarket and obtaining a single set of sales financial data corresponding to the same time segment as the current time segment on the day before the current day include: the current time segment of the current day takes the current moment as the starting moment and the duration of each time segment is the same.

2. The intelligent financial data management system according to claim 1, characterized in that: The object reshaping mechanism is used to reshape the recurrent neural network to obtain an AI judgment model, wherein the reshaping of the recurrent neural network to obtain the AI ​​judgment model includes: performing various learning operations on the recurrent neural network to obtain a recurrent neural network after completing each learning operation and using it as the AI ​​judgment model includes: the number of each learning operation performed on the recurrent neural network is positively correlated with the number of blocks managed by the set Internet supermarket.

3. The financial data intelligent management system according to claim 2, characterized in that: The system further comprises: an image processing component, connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, respectively, for respectively improving the image quality of the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, so as to obtain respective image quality improved images corresponding to the output image signals of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism; Among them, the image quality of each output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism is improved respectively to obtain each image quality improved image corresponding to the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively, including: the first layer image quality improvement performs dynamic range expansion operation on the output image signal of each of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism.

4. The intelligent financial data management system according to claim 3, characterized in that: The image quality of each output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism is improved respectively to obtain each image quality improved image corresponding to the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, and also includes: sub-layer image quality improvement performs gamma correction operation on the output image signal of each information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism.

5. The intelligent financial data management system according to claim 4, characterized in that: The image quality of each output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism is improved respectively to obtain each image quality improved image corresponding to the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, and further includes: performing a point image restoration operation on the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism respectively for the second layer of image quality improvement.

6. The intelligent financial data management system according to claim 5, characterized in that: The image quality of each output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism is improved respectively to obtain each image quality improved image corresponding to the output image signal of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism, and also includes: the last layer image quality improvement performs median filtering operation on the output image signal of each information analysis device, the data extraction mechanism, the content generation mechanism and the object reconstruction mechanism.

7. The intelligent financial data management system according to claim 3, characterized in that: The system further comprises: A serial configuration interface is connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, respectively, and is used to respectively perform real-time configuration of the respective operating data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism.

8. The intelligent financial data management system according to claim 7, characterized in that: An address configuration component is respectively connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, and is used to respectively perform real-time configuration of the respective operating data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, including: the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism respectively have different serial configuration addresses.

9. The intelligent financial data management system according to claim 7, characterized in that: The address configuration component is respectively connected to the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, and is used to respectively perform real-time configuration of the respective operating data of the information analysis device, the data extraction mechanism, the content generation mechanism and the object reshaping mechanism, including: the address configuration component is an IIC configuration interface.

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