A big data financial information management system

Abstract

The present invention discloses a big data financial information management system, which relates to the field of information management technology and solves the problem that it is impossible to quickly perform one-to-one and timely find designated financial information data when tracing the source of data. The present invention confirms the characteristic value of the corresponding financial information according to specific information parameters, generates a characteristic value digital sequence according to the characteristic value, and then generates a reverse digital sequence. According to the reverse digital sequence, the data inside the source data of the financial information is assigned a value mark, and the corresponding financial information can be found in time later through the stored characteristic value and the assignment rule. In order to speed up the tracing rate and find the deleted financial information in time when tracing the data later, the deleted financial information can also be encrypted and the corresponding source data can be changed, thereby disrupting the sorting method of the source data, so that the source data is changed and trimmed, resulting in incorrect extracted source data.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to a big data financial information management system. Background Art

[0002] Financial information refers to the signals, instructions, data, situations, and messages generated in the process of organizing and managing currency circulation, various financial securities transactions, credit activities, and fund settlement. Its content includes government financial information, bank information, securities market information, customer credit information, etc. When conducting financial reconciliation, some personnel usually delete data by mistake due to irregular operations, resulting in errors in reconciliation results, and data tracing is extremely difficult;

[0003] The patent application with the publication number CN114356937B discloses a financial information management system based on blockchain and big data, including: a block unit, the block unit is used to record the financial information of the corresponding target; a management unit, the management unit is used to store the financial information of each block unit; a big data evaluation unit, the big data evaluation unit is used to perform data evaluation on the block unit and generate an evaluation signal; a sending unit, the sending unit transfers the financial information in the block unit to the management unit for storage based on the evaluation signal; a branch unit, the branch unit connects the block unit with the management unit; wherein the management unit is connected to a plurality of branch units, and the branch unit is connected to a plurality of block units, together forming a management system, which can reduce the control procedures and traceability procedures of the existing blockchain, and greatly reduce the risk of tampering of the blockchain storage data;

[0004] Most financial information will flow into the Recycle Bin after being accidentally deleted, but there is a large amount of financial information data in the Recycle Bin. When tracing the source, it is difficult and the amount of data is too large. When tracing the source of the data, it is impossible to quickly conduct one-to-one and find the specified financial information data in time, thereby reducing the workload of engineers. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a big data financial information management system, which solves the problem of being unable to quickly conduct one-to-one and timely find designated financial information data when tracing data.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a big data financial information management system, a deletion information acquisition unit, used to acquire parameter data of deleted financial information, wherein the acquired parameter data includes the generation time point, deletion time point and operator code of the financial information and the overall capacity of the financial information;

[0007] The characteristic value locking unit analyzes the acquired parameter data, confirms the characteristic value belonging to the financial information, and transmits the confirmed characteristic value to the storage unit for storage, specifically in the following manner:

[0008] From the parameter data, confirm the digital parameters at the time when this financial information is generated and mark them as SS i , and then confirm the digital parameters of the time point of deletion of this financial information and mark it as CS i , confirm the parameters in the operator code and mark them as BM i , where i represents different financial information;

[0009] Using TZ i =SS i ×C1+CS i ×C2+BM i ×C3 obtains the characteristic value TZ belonging to this financial information i , where C1, C2 and C3 are preset fixed coefficient factors, and then the eigenvalue TZ i The internal decimal points are removed to obtain the characteristic value digital sequence, and the characteristic value digital sequence corresponding to the financial information and the overall capacity parameter are transmitted to the storage unit for storage;

[0010] The characteristic value embedding unit receives the characteristic value digital sequence, analyzes and confirms the source data of the financial information, and marks the designated position of the source data according to the sorting method of the characteristic value digital sequence, specifically in the following manner:

[0011] According to the mark i, the digital sequence of the characteristic value of the financial information is confirmed, and the digital sequence of the characteristic value is reversed to obtain the digital reverse sequence belonging to the sequence, and then the source data of the financial information is confirmed;

[0012] Prioritize confirming the first group of numbers A in the reverse digital sequence, and confirm the starting data of the source data at the same time, start counting from the starting data, assign a value of 1 to the lower right end of the Ath data, and then confirm the second group of numbers B in the reverse digital sequence, take the data with the value of 1 as the starting data, and assign a value of 1 again to the lower right end of the Bth data at the end of this data. Similarly, the subsequent data are assigned values ​​and marked by the numbers in the reverse digital sequence in turn;

[0013] During the normal assignment process, when the source data is being assigned and there is no data that can be assigned in the back end, a loop assignment is performed. During the first group of assignments, there is a group of numbers C in the reverse sequence of numbers. After the first two groups of numbers are assigned, according to the number C, if no subsequent data that can be assigned can be found in the source data, the initial data of the source data is directly used as the subsequent data, and the specified position of the data is found, and the assignment mark 2 is assigned to the lower right end of the data. When the third round of loops is performed, assignment 3 is performed, and so on, until the reverse sequence of numbers is assigned, the financial information is transmitted to the recycle bin.

[0014] Preferably, it also includes an adaptive tracing end, wherein the adaptive tracing end includes a capacity confirmation unit, a first feature confirmation unit and an information locking unit;

[0015] The adaptive tracing end preferentially extracts the overall capacity parameter and characteristic value of the corresponding financial information from the storage unit according to the received tracing signal, removes the decimal point inside the characteristic value to obtain the characteristic value digital sequence, and then reverses the characteristic value digital sequence to obtain the digital reverse sequence belonging to the sequence;

[0016] The capacity confirmation unit confirms the capacity values ​​of different deleted financial information in the recycling bin according to the extracted overall capacity parameter, marks the overall capacity parameter as RL, and then combines it with the preset value Y1 in a combination manner of RL±Y1 to obtain an identification interval, confirms the financial information belonging to the identification interval, and obtains a preliminary financial information package;

[0017] The first characteristic confirmation unit confirms the source data of different financial information in the preliminary financial information package, confirms the data with the value 1 from the source data of different financial information, analyzes the arrangement position of the data, confirms the first characteristic parameter of the corresponding financial information, confirms the financial information whose first characteristic parameter is the same as the first digit of the reverse sequence of numbers, and bundles the confirmed financial information into a subsequent financial information package;

[0018] The information locking unit confirms the source data of the subsequent internal information of the financial information package, and according to the assignment mark inside the source data, confirms the characteristic codes belonging to different source data in turn, and then compares the characteristic codes with the digital reverse sequence to confirm the same financial information, and deletes the assignment mark of the source data inside the corresponding financial information to obtain the original financial information, and displays the restored financial information.

[0019] Beneficial Effects

[0020] The present invention provides a big data financial information management system. Compared with the prior art, it has the following advantages:

[0021] Beneficial effects:

[0022] The present invention performs preliminary processing on the deleted information. First, according to the specific information parameters, the characteristic value of the corresponding financial information is confirmed, and the characteristic value digital sequence is generated according to the characteristic value, and then the reverse digital sequence is generated. According to the reverse digital sequence, the data inside the source data of the financial information is assigned a value and marked. Subsequently, the corresponding financial information can be found in time through the stored characteristic value and the assignment rule. In order to speed up the tracing rate and find the deleted financial information in time when tracing the data later, the deleted financial information can also be encrypted and the corresponding source data can be changed, which disrupts the sorting method of the source data, so that the source data is changed and trimmed, resulting in incorrect extracted source data.

[0023] Subsequently, during the data tracing process, a large amount of financial information in the recycling bin is preliminarily screened according to the capacity value, and then the financial information is screened again according to the confirmed first feature. Subsequently, the information is locked, the same financial information is confirmed, and then displayed. Compared with the original tracing method, this method is more convenient and faster, with timely tracing and processing, which improves the tracing rate while ensuring the accuracy of the tracing information. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0025] Figure 2 This is a schematic diagram of the adaptive tracing end of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Embodiment 1

[0028] See also Figure 1 The present application provides a big data financial information management system, including a deletion information acquisition unit, a recycling bin and an information tracing management center, wherein the information tracing management center includes a characteristic value locking unit, a storage unit, a characteristic value embedding unit and an adaptive tracing end, wherein the characteristic value locking unit is electrically connected to the storage unit and the characteristic value embedding unit input end respectively, and the adaptive tracing end includes a capacity confirmation unit, a first characteristic confirmation unit and an information locking unit, wherein the capacity confirmation unit is electrically connected to the first characteristic confirmation unit input end, and the first characteristic confirmation unit is electrically connected to the information locking unit input end;

[0029] The deletion information acquisition unit is used to acquire parameter data of the deleted financial information, wherein the acquired parameter data includes the generation time point, deletion time point, operator code and overall capacity of the financial information;

[0030] The characteristic value locking unit analyzes the acquired parameter data, confirms the characteristic value belonging to the financial information, and transmits the confirmed characteristic value to the storage unit for storage, wherein the specific method of confirming the characteristic value of the financial information is:

[0031] From the parameter data, confirm the digital parameters at the time when this financial information is generated and mark them as SS i , and then confirm the digital parameters of the time point of deletion of this financial information and mark it as CS i , confirm the parameters in the operator code and mark them as BM i , where i represents different financial information;

[0032] Using TZ i =SS i ×C1+CS i ×C2+BM i ×C3 obtains the characteristic value TZ belonging to this financial information i , where C1, C2 and C3 are preset fixed coefficient factors, and then the eigenvalue TZ i The internal decimal points are removed to obtain the characteristic value digital sequence, and the characteristic value digital sequence corresponding to the financial information and the overall capacity parameter are transmitted to the storage unit for storage.

[0033] The characteristic value embedding unit receives the characteristic value digital sequence, analyzes and confirms the source data of the financial information, and marks the designated position of the source data according to the sorting method of the characteristic value digital sequence, so as to facilitate the rapid tracing of such financial information in the later stage. The specific method of marking is as follows:

[0034] According to the mark i, the digital sequence of the characteristic value of the financial information is confirmed, and the digital sequence of the characteristic value is reversed to obtain the digital reverse sequence belonging to the sequence, and then the source data of the financial information is confirmed;

[0035] Prioritize confirming the first group of numbers A in the reverse digital sequence, and confirm the starting data of the source data at the same time, start counting from the starting data, assign a value of 1 to the lower right end of the Ath data, and then confirm the second group of numbers B in the reverse digital sequence, take the data with the value of 1 as the starting data, and assign a value of 1 again to the lower right end of the Bth data after this data. Similarly, the subsequent data are assigned values ​​and marked by the numbers in the reverse digital sequence in turn. For example: assuming that a reverse digital sequence is 132, and its source data is "yuanshuju", according to the number 1, assign 1 to the lower end of the first group of data, which is "y1uanshuju", and then according to the number 3, assign 1 to the lower end of the fourth group of data, which is "y1uans1huju", and then according to the number 2, assign 1 to the lower end of the sixth group of data, which is "y1uans1hu1ju";

[0036] In the normal assignment process, when the source data is being assigned and there is no data that can be assigned in the back end, a loop assignment is performed. In the first group of assignments, there is a group of numbers C in the reverse sequence of numbers. After the first two groups of numbers are assigned, according to number C, if no subsequent data that can be assigned can be found in the source data, the initial data of the source data is directly used as the subsequent data, and the specified position of the data is found, and then the corresponding assignment mark 2 is assigned at the lower right end of the data. When the third round of cycles is performed, the assignment 3 is performed, and so on, until the reverse sequence of numbers is assigned, the gold is assigned. The information is transferred to the recycling bin. It can be understood as follows: assuming that a set of reverse digital sequences is 1324, and its source data is "yuanshuju", according to the number 1, the value 1 is assigned to the bottom of the first set of data, which is "y1uanshuju", and then according to the number 3, the value 1 is assigned to the bottom of the fourth set of data, which is "y1uan1shuju", and then according to the number 2, the value 1 is assigned to the bottom of the sixth set of data, which is "y1uan1sh1uju", and then according to the number 4, the source data is not enough for assignment, so a second round of assignment is required, which is "y1uan1sh1uju". 12 uan1sh1uju", similarly, the subsequent three rounds of assignment and subsequent assignment are all assigned in the same way;

[0037] The assignment process is performed here. Firstly, it is to speed up the tracing rate and find the deleted financial information in time when tracing the data later. Secondly, it can also encrypt the deleted financial information and change its corresponding source data, thus disrupting the sorting method of the source data and changing and modifying the source data, resulting in incorrect extracted source data.

[0038] Embodiment 2

[0039] Based on the above embodiment, this embodiment further includes:

[0040] Combination Figure 2 , an adaptive tracing end, wherein the adaptive tracing end includes a capacity confirmation unit, a first feature confirmation unit and an information locking unit, wherein the capacity confirmation unit is electrically connected to an input end of the first feature confirmation unit, and the first feature confirmation unit is electrically connected to an input end of the information locking unit;

[0041] The adaptive tracing end preferentially extracts the overall capacity parameter and characteristic value of the corresponding financial information from the storage unit according to the received tracing signal, removes the decimal point inside the characteristic value to obtain the characteristic value digital sequence, and then reverses the characteristic value digital sequence to obtain the digital reverse sequence belonging to the sequence;

[0042] The capacity confirmation unit confirms the capacity values ​​of different deleted financial information in the recycling bin according to the extracted overall capacity parameter, marks the overall capacity parameter as RL, and then combines it with a preset value Y1, wherein the specific value of Y1 is determined by the operator based on experience, and the combination method is RL±Y1 to obtain an identification interval, and confirms the financial information belonging to the identification interval to obtain a preliminary financial information package;

[0043] The first characteristic confirmation unit confirms the source data of different financial information in the preliminary financial information package, confirms the data with the value 1 from the source data of different financial information, analyzes the arrangement position of the data, confirms the first characteristic parameter of the corresponding financial information, confirms the financial information whose first characteristic parameter is the same as the first digit of the reverse sequence of numbers, and bundles the confirmed financial information into a subsequent financial information package;

[0044] The information locking unit confirms the source data of the subsequent internal information of the financial information package, and according to the assignment mark in the source data, sequentially confirms the characteristic codes belonging to different source data, and then compares the characteristic codes with the digital reverse sequence to confirm the same financial information, and deletes the assignment mark of the internal source data of the corresponding financial information to obtain the original financial information, and displays the restored financial information for direct viewing by external personnel;

[0045] Specifically, when tracing the information, first, a large amount of financial information in the recycling bin is preliminarily screened according to the capacity value, and then the financial information is screened again according to the confirmed first feature. Subsequently, the information is locked, the same financial information is confirmed, and then displayed. Compared with the original tracing method, this method is more convenient and faster, and it can trace and process in time, which improves the tracing rate while ensuring the accuracy of the tracing information.

[0046] Embodiment 3

[0047] In the specific implementation process of this embodiment, as a further embodiment of the second embodiment:

[0048] The information locking unit, in the process of confirming the source data of the subsequent internal information of the financial information package, sequentially confirms the characteristic codes belonging to different source data according to the assignment marks inside the source data, and then compares the characteristic codes with the digital reverse sequence. If the same financial information cannot be confirmed, the financial information package is traced, and the assignment marks of the corresponding internal source data of the financial information are deleted, and displayed at the same time;

[0049] Embodiment 4

[0050] The specific implementation process of this embodiment includes all the implementation processes of the above three groups of embodiments.

[0051] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0052] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A big data financial information management system, characterized in that: include: A deletion information acquisition unit, used to acquire parameter data of the deleted financial information, wherein the acquired parameter data includes the generation time point, the deletion time point, the operator code and the overall capacity of the financial information; The characteristic value locking unit analyzes the acquired parameter data, confirms the characteristic value belonging to the financial information, and transmits the confirmed characteristic value to the storage unit for storage, specifically in the following manner: From the parameter data, confirm the digital parameters at the time when this financial information is generated and mark them as SS i , and then confirm the digital parameters of the time point of deletion of this financial information and mark it as CS i , confirm the parameters in the operator code and mark them as BM i , where i represents different financial information; Using TZ i =SS i ×C1+CS i ×C2+BM i ×C3 obtains the characteristic value TZ belonging to this financial information i , where C1, C2 and C3 are preset fixed coefficient factors, and then the eigenvalue TZ i The internal decimal points are removed to obtain the characteristic value digital sequence, and the characteristic value digital sequence corresponding to the financial information and the overall capacity parameter are transmitted to the storage unit for storage; The eigenvalue embedding unit receives the eigenvalue digital sequence, analyzes and confirms the source data of the financial information, and marks the specified position of the source data according to the sorting method of the eigenvalue digital sequence. The specific method is as follows: According to the mark i, the digital sequence of the characteristic value of the financial information is confirmed, and the digital sequence of the characteristic value is reversed to obtain the digital reverse sequence belonging to the sequence, and then the source data of the financial information is confirmed; Prioritize confirming the first group of numbers A in the digital reverse sequence, and at the same time confirm the starting data of the source data, start counting from the starting data, assign mark 1 to the lower right end of the Ath data, and then confirm the second group of numbers B in the digital reverse sequence, with the data assigned mark 1 as the starting data, and assign mark 1 again to the lower right end of the Bth data at the rear end of this data. Similarly, the subsequent data are assigned marks in sequence by the numbers inside the digital reverse sequence.

2. A big data financial information management system according to claim 1, characterized in that: The feature value embedding unit further performs marking in the form of: During the normal assignment process, when the source data is being assigned and there is no data that can be assigned in the back end, a loop assignment is performed. During the first group of assignments, there is a group of numbers C in the reverse sequence of numbers. After the first two groups of numbers are assigned, according to the number C, if no subsequent data that can be assigned can be found in the source data, the initial data of the source data is directly used as the subsequent data, and the specified position of the data is found, and the assignment mark 2 is assigned to the lower right end of the data. When the third round of loops is performed, assignment 3 is performed, and so on, until the reverse sequence of numbers is assigned, the financial information is transmitted to the recycle bin.

3. A big data financial information management system according to claim 1, characterized in that: It also includes an adaptive tracing end, which includes a capacity confirmation unit, a first feature confirmation unit and an information locking unit.

4. A big data financial information management system according to claim 3, characterized in that: The adaptive tracing end preferentially extracts the overall capacity parameters and eigenvalues ​​of the corresponding financial information from the storage unit according to the received tracing signal, removes the decimal points inside the eigenvalues ​​to obtain a eigenvalue digital sequence, and then reverses the eigenvalue digital sequence to obtain a digital reverse sequence belonging to this sequence.

5. A big data financial information management system according to claim 4, characterized in that: The capacity confirmation unit confirms the capacity values ​​of different deleted financial information in the recycling bin based on the extracted overall capacity parameter, marks the overall capacity parameter as RL, and then combines it with the preset value Y1 in a combination method of RL±Y1 to obtain an identification interval, confirms the financial information belonging to this identification interval, and obtains a preliminary financial information package.

6. A big data financial information management system according to claim 5, characterized in that: The first feature confirmation unit confirms the source data of different financial information within the preliminary financial information package, confirms the data with the assignment mark 1 from the source data of the different financial information, analyzes the arrangement position of the data, confirms the first feature parameter of the corresponding financial information, confirms the financial information whose first feature parameter is the same as the first digit of the reverse digital sequence, and bundles the confirmed financial information into a subsequent financial information package.

7. A big data financial information management system according to claim 6, characterized in that: The information locking unit confirms the source data of the subsequent internal information of the financial information package, and according to the assignment mark inside the source data, confirms the characteristic codes belonging to different source data in turn, and then compares the characteristic codes with the digital reverse sequence to confirm the same financial information, and deletes the assignment mark of the source data inside the corresponding financial information to obtain the original financial information, and displays the restored financial information.

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