Digital cloud-based notarization file database storage supervision method and system

Abstract

The invention discloses a digital cloud-based notarization file database storage supervision method and system, and belongs to the technical field of database storage supervision. Collecting notarization archive record states when the notarization archives are dynamically modified, and constructing a state conversion chain for the notarization archives; judging whether the record state after the dynamic modification is matched with the record state before the next dynamic modification or not, calculating the correlation degree between different notarization files, and dividing the notarization files into different clustering groups; obtaining all clustering groups, performing state scoring on the clustering groups, presetting a state scoring threshold value, and performing analysis and supervision; according to the method, continuous verification of states among files is realized by constructing a state conversion chain and a state matching formula; on the basis of the correlation degree, archives with similar states are clustered in the grouping step, so that the data management efficiency is optimized; scoring is carried out based on the association degree of the archives in the clustering group and the normal state proportion, quantitative detection is carried out on abnormal conditions, and the effect of dynamic and intelligent management of the notarization archives is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of database storage supervision, and in particular to a notarial archive database storage supervision method and system based on digital cloud. Background Art

[0002] With the rapid development of cloud storage and digital transformation, database storage supervision technology based on cloud architecture has become an important research direction for notarial archive management; traditional notarial archive management systems are usually based on local storage, involving functions such as data retrieval, management and archiving, and are limited to the storage and access mode of a single organization or region; however, the generation volume and operation frequency of modern notarial archives have increased sharply, and the dynamic and timeliness requirements of archive status have gradually increased, which has put forward higher requirements for data real-time, accuracy and cross-platform storage security; with the help of digital cloud platforms, notarial archive management can achieve distributed storage and off-site backup, providing archive management agencies with higher data redundancy and disaster recovery capabilities; however, existing technologies are mostly single and linear records when recording changes in the status of notarial archives, which makes it difficult to effectively capture the integrity and relevance of the archive status before and after dynamic operations.

[0003] Current notarial archive storage supervision technology generally lacks a systematic management method when dealing with high-frequency dynamic modification records, and it is difficult to quickly identify abnormal states or the relationship between abnormal archives, resulting in low accuracy in identifying potential risks and real-time supervision. Archive matching in existing technologies mostly relies on linear comparison of adjacent archives or simple threshold judgments, which makes it difficult to fully characterize complex dynamic association relationships, and fails to effectively consider the status correlation between archives during the clustering process, thus affecting the accuracy and flexibility of archive supervision. Summary of the invention

[0004] The purpose of the present invention is to provide a notarial archive database storage supervision method and system based on digital cloud to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A notarial archive database storage supervision method based on digital cloud, the method comprising the following steps: establishing an operation log cache library of notarial archives, collecting notarial archive record states when notarial archives are dynamically modified, and constructing a notarial archive record state set; constructing a state transition chain for the notarial archive based on the notarial archive record states; judging whether the record state after dynamic modification matches the record state before the next dynamic modification based on the state transition chain, and calculating the correlation between different notarial archives; dividing the notarial archives into different cluster groups based on the correlation; obtaining all cluster groups in step S3, and constructing a cluster group set; scoring the cluster groups, presetting the state scoring threshold, analyzing and supervising.

[0007] As a preferred solution of the digital cloud-based notarial archive database storage supervision method described in the present invention, an operation log cache library of notarial archives is established, and the operation log cache library stores the notarial archive record status each time the notarial archive is dynamically modified, and each dynamic modification of the notarial archive corresponds to a notarial archive record status, and the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, the record status before dynamic modification represents the archive content of the notarial archive before the dynamic modification occurs, and the record status after dynamic modification represents the archive content of the notarial archive after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are unique; the mth notarial archive is recorded as NA m , record the record status before the i-th dynamic modification as PO im , record the state after the i-th dynamic modification as AO im .

[0008] In the present invention, by accurately recording the record status before dynamic modification and the record status after dynamic modification of each dynamic modification, the changes in the archive content of the notarial archive can be accurately tracked, ensuring the controllability and traceability of the modification. Since the changes in the archive content of each modification will be recorded, data loss or tampering can be effectively prevented, thereby enhancing the security and consistency of archive management. In the subsequent step S2, by judging whether the record status after dynamic modification matches the record status before dynamic modification of the next modification, further judgment and optimization of the internal correlation of the notarial archive is achieved.

[0009] Collect the i-th dynamic modification notarization file NA m The notarial archive record status at that time is constructed, and the notarial archive record status set is recorded as BI im ={HW im |i∈[1,I],m∈[1,M]}, and,HW im =[PO im , AO im ], where HW im Indicates the i-th dynamic modification of the notarization file NA m The notarial file record status at that time, I represents the total number of dynamic modifications, M represents the total number of notarial files, [PO im , AO im ] indicates the record status PO before dynamic modification im And dynamically modify the record status AO im The label pair.

[0010] As a preferred solution of the notarial archive database storage supervision method based on digital cloud described in the present invention, based on the dynamic modification of the previous record status POim And dynamically modify the record status AO im The tag pair [PO im， AO im ], for notarized files NA m Construct a state transition chain as follows:

[0011] Chain m ={[PO im , AO im ]|i∈[1,I]}

[0012] Among them, I represents the total number of dynamic modifications, Chain im Represents a state transition chain.

[0013] Based on notarial archives NA m State transition chain Chain m , design a conditional judgment formula to judge the record status AO after the i-th dynamic modification im Whether to record the status PO before the i+1th dynamic modification (i+1)m Matching, as follows:

[0014]

[0015] Among them, PO (i+1)m Indicates the record status before the i+1th dynamic modification, X im Indicates notarized file NA m The state matching formula.

[0016] Based on notarial archives NA m The status matching formula calculates the notarization file NA m With notarized archives NA n The correlation between them is calculated as follows:

[0017]

[0018] Among them, Rel(NA m , NA n ) indicates notarized file NA m With notarized archives NA n The correlation between them, and m≠n, X in Indicates notarized file NA n The state matching formula, F n Indicates notarized file NA n The number of abnormalities, ε represents the preset smoothing factor.

[0019] In the present invention, the correlation calculation formula is calculated by calculating the notarization file NA m With notarized archives NA nThe matching status of the operation state in each dynamic operation is counted. Specifically, when X im =X in When X im =1 and X in =1 or X im =0 and X in = 0, which means that at the i-th dynamic modification, the notarization file NA m With notarized archives NA n There are cases where both normal and abnormal matching occurs at the same time. In this case, (1-|X im -X in |)=1, when X im ≠X in When X im =1 and X in =0 or X im =0 and X in = 1, which means that at the i-th dynamic modification, the notarization file NA m With notarized archives NA n There is no situation where both normal and abnormal matching occurs at the same time. In this case, (1-|X im -X in |)=0; by (1-|X im -X in |) to sum, when X im =X in The more cases, that is, the notarial file NA m With notarized archives NA n The more cases there are of normal matching or abnormal matching at the same time, the The larger the value, the more NA the notarization file m With notarized archives NA n The states between them are highly matched and highly correlated. im ≠X in The more cases, that is, the notarial file NA m With notarized archives NA n The more cases where there is no normal match or abnormal match at the same time, the The smaller the value, the more NA the notarization file m With notarized archives NA n The states between them do not match and the correlation is low. This formula takes the dynamic matching value difference between archives as the core calculation indicator of the correlation, rather than simply based on the static attributes or characteristics of the archives. This method is particularly effective when processing archival data with a changing frequency, avoiding the limitations of traditional static matching methods.

[0020] As a preferred solution of the notarial archive database storage supervision method based on digital cloud described in the present invention, based on the correlation Rel(NAm , NA n ), group all notarization files as follows:

[0021] Select notarized file NA m As the core notarial archive, a cluster group is constructed, and the relevance threshold τ is preset, which is related to the notarial archive NA m All notarization files whose correlation degree is greater than the correlation threshold τ are added to the cluster group; repeat the above content, and stop repeating when all notarization files are added to the cluster group.

[0022] As a preferred solution of the notarial archive database storage supervision method based on digital cloud described in the present invention, all cluster groups in step S3 are obtained to construct a cluster group set, which is recorded as CCS = {C(NA m )|m∈[1,M]}, where C(NA m ) indicates that it is based on the notarized file NA m The clustering groups.

[0023] For cluster group C(NA m ) to score the status, the scoring formula is as follows:

[0024]

[0025] Among them, Score[C(NA m )] represents cluster group C(NA m ) status score, |C(NA m )| represents the statistical cluster group C (NA m ) in the number of notarized files, A g Represents the statistical cluster group C (NA m ) The number of normal notarization files.

[0026] The judgment of the normal notarization file is as follows:

[0027] Statistics Notary Archives NA m The number of exceptions is as follows:

[0028]

[0029] Among them, F m Indicates notarized file NA m The number of exceptions.

[0030] Preset the abnormal number threshold θ, if F m <θ, then the notarization file NA m Recorded as normal notarization file.

[0031] In the present invention, the formula first sums up the correlation of all the files in the group to obtain the overall correlation within the cluster group. If the correlation between the files in the group is high, it means that the rationality of them belonging to the same cluster group is strong, so the score is high; then cluster group C (NA m The proportion of normal notarized files in It will affect the final score. If the proportion of normal notarized files is high, the score should be increased. This formula makes the scoring result more accurate through the ratio of the sum of correlation degrees to the number of normal files. It can clearly reflect the degree of abnormality in the cluster and realize real-time monitoring of the health status of the cluster. Whenever a new file is added or the status is updated, the score can be automatically recalculated to provide real-time and accurate regulatory information. This formula can be used to quickly screen cluster groups with higher potential risks, which helps to improve response efficiency and optimize the file management process.

[0032] Preset Status Score Threshold like Then determine the cluster group C(NA m ) and prompts the staff to perform a clustering operation on the cluster group C(NA m ) to conduct supervision and review of all notarial files within the jurisdiction.

[0033] A notarial archive database storage supervision system based on digital cloud, the system comprises: a log record and state cache module, a state conversion and correlation analysis module, an archive clustering grouping module and a cluster group scoring and anomaly detection module.

[0034] The log record and status cache module: establishes an operation log cache library for notarial archives, collects the notarial archive record status when the notarial archives are dynamically modified, and constructs a notarial archive record status set.

[0035] The state transition and correlation analysis module: constructs a state transition chain for the notarial archive based on the record status of the notarial archive; based on the state transition chain, determines whether the record status after dynamic modification matches the record status before the next dynamic modification, and calculates the correlation between different notarial archives.

[0036] The file clustering grouping module is used to divide the notarization files into different clustering groups based on the correlation degree.

[0037] The cluster group scoring and anomaly detection module: obtains all cluster groups in step S3 and constructs a cluster group set; scores the status of the cluster groups, presets the status score threshold, analyzes and supervises.

[0038] Furthermore, the log record and status cache module includes a dynamic record status cache unit and an archive status set construction unit.

[0039] The dynamic record status cache unit: establishes an operation log cache library for notarial archives, wherein the operation log cache library stores the notarial archive record status each time the notarial archives are dynamically modified, and each dynamic modification of the notarial archives corresponds to a notarial archive record status, wherein the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, wherein the record status before dynamic modification represents the archive content of the notarial archive before the dynamic modification occurs, and the record status after dynamic modification represents the archive content of the notarial archive after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are unique.

[0040] The archive status set construction unit collects the notarial archive record status when the notarial archive is dynamically modified, and constructs a notarial archive record status set, wherein the elements in the notarial archive record status set are composed of the record status before the dynamic modification and the record status after the dynamic modification.

[0041] Furthermore, the state transition and correlation analysis module includes a state transition chain generation unit and a correlation condition judgment unit.

[0042] The state transition chain generating unit constructs a label pair with the record state before dynamic modification and the record state after dynamic modification, and constructs a state transition chain for the notarization archive.

[0043] The association condition judgment unit: designs a condition judgment formula based on the state transition chain of the notarial archives to judge whether the record state after the previous dynamic modification matches the record state before the next dynamic modification; calculates the association between different notarial archives based on the state matching formula of the notarial archives.

[0044] Furthermore, the archive clustering grouping module includes a core archive clustering group building unit.

[0045] The core archive cluster group construction unit: based on the correlation, all notarial archives are grouped, specifically as follows: a notarial archive is selected as a core notarial archive, a cluster group is constructed, a correlation threshold is preset, and all notarial archives whose correlation with the notarial archive is greater than the correlation threshold are added to the cluster group; the above content is repeated, and when all notarial archives are added to the cluster group, the repetition is stopped.

[0046] Furthermore, the cluster group scoring and anomaly detection module includes a cluster group state scoring unit and an anomaly scoring threshold detection unit.

[0047] The cluster group status scoring unit obtains all cluster groups, builds a cluster group set, and performs status scoring on the cluster groups.

[0048] The abnormal score threshold detection unit is: a preset status score threshold, if the score is less than the status score threshold, it is determined that there are abnormal notarization files in the cluster group, and the staff is prompted to supervise and review all notarization files in the cluster group.

[0049] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in a notarial archive database storage and supervision method and system based on digital cloud provided by the present invention, by establishing an operation log cache library, a state transition chain and a state matching formula, the recording and consistency verification of each dynamic modification of the notarial archive is realized, and a grouping and scoring mechanism is constructed based on the correlation between archives to realize efficient and accurate archive supervision; firstly, the log cache library records the status before and after each modification, ensuring the traceability of the archive change; by constructing a state transition chain and a state matching formula, the continuity verification of the status between archives is realized, and the risk of information disconnection is effectively avoided; based on the correlation, the grouping step clusters archives with similar status, thereby optimizing data management efficiency; the scoring mechanism realizes quantitative detection of abnormal situations based on the correlation of archives in the cluster and the proportion of normal status, and provides real-time supervision information, and finally achieves the effect of dynamic and intelligent management of notarial archives. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] 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.

[0051] Figure 1 It is a schematic diagram of the steps of a digital cloud-based notarial archive database storage supervision method of the present invention;

[0052] Figure 2 It is a structural schematic diagram of a notarial archive database storage and supervision system based on digital cloud of the present invention. DETAILED DESCRIPTION

[0053] 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.

[0054] See also Figure 1 In the first embodiment of the present invention, a method for supervising the storage of notarial archives database based on digital cloud is provided, and the method comprises the following steps:

[0055] Step S1: Establish an operation log cache library of notarial archives, collect the notarial archive record status when the notarial archives are dynamically modified, and construct a notarial archive record status set.

[0056] Specifically, an operation log cache of notarial archives is established, wherein the operation log cache stores the record status of the notarial archives each time the notarial archives are dynamically modified, and each dynamic modification of the notarial archives corresponds to a notarial archive record status, wherein the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, wherein the record status before dynamic modification represents the archive content of the notarial archives before the dynamic modification occurs, and the record status after dynamic modification represents the archive content of the notarial archives after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are both unique; the mth notarial archive is recorded as NA m , record the record status before the i-th dynamic modification as PO im , record the state after the i-th dynamic modification as AO im .

[0057] Furthermore, the i-th dynamic modification notarization file NA is collected m The notarial archive record status at that time is constructed, and the notarial archive record status set is recorded as BI im ={HW im |i∈[1,I],m∈[1,M]}, and,HW im =[PO im , AO im ], where HW im Indicates the i-th dynamic modification of the notarization file NA m The notarial file record status at that time, I represents the total number of dynamic modifications, M represents the total number of notarial files, [PO im , AO im ] indicates the record status PO before dynamic modification im And dynamically modify the record status AO im The label pair.

[0058] Step S2: Based on the notarial archive record status, construct a state transition chain for the notarial archive; based on the state transition chain, determine whether the record status after dynamic modification matches the record status before the next dynamic modification, and calculate the correlation between different notarial archives.

[0059] Specifically, based on the dynamic modification of the previous record status PO im And dynamically modify the record status AO im The tag pair [PO im , AO im ], for notarized files NA m Construct a state transition chain as follows:

[0060] Chain m ={[PO im, AO im ]|i∈[1,I]}

[0061] Among them, I represents the total number of dynamic modifications, Chain im Represents a state transition chain.

[0062] Further, based on the notarized archives NA m State transition chain Chain m , design a conditional judgment formula to judge the record status AO after the i-th dynamic modification im Whether to record the status PO before the i+1th dynamic modification (i+1)m Matching, as follows:

[0063]

[0064] Among them, PO (i+1)m Indicates the record status before the i+1th dynamic modification, X im Indicates notarized file NA m The state matching formula.

[0065] Further, based on the notarized archives NA m The status matching formula calculates the notarization file NA m With notarized archives NA n The correlation between them is calculated as follows:

[0066]

[0067] Among them, Rel(NA m , NA n ) indicates notarized file NA m With notarized archives NA n The correlation between them, and m≠n, X in Indicates notarized file NA n The state matching formula, F n Indicates notarized file NA n The number of abnormalities, ε represents the preset smoothing factor.

[0068] For example, suppose the total number of dynamic modifications I is 5, X 11 =0, X 21 =1, X 21 =1, X 11 =0, X 12 =1, X 22 =1, X 22 =1, X 22 =0, ε is 0.01, and the correlation between notarization files NA1 and NA2 is calculated as follows:

[0069] Step S3: Based on the correlation degree, the notarization archives are divided into different cluster groups.

[0070] Specifically, based on the correlation Rel(NA m ,NA n ), group all notarization files as follows:

[0071] Select notarized file NA m As the core notarial archive, a cluster group is constructed, and the relevance threshold τ is preset, which is related to the notarial archive NA m All notarial archives whose correlation is greater than the correlation threshold τ are added to the cluster group.

[0072] Repeat the above steps and stop when all notarized files are added to the cluster group.

[0073] Step S4: Obtain all cluster groups in step S3 and construct a cluster group set; perform status scoring on the cluster groups, preset status scoring thresholds, analyze and supervise.

[0074] Specifically, all cluster groups in step S3 are obtained, and a cluster group set is constructed, which is recorded as CCS = {C(NA m )|m∈[1,M]}, where C(NA m ) indicates that it is based on the notarized file NA m The clustering groups;

[0075] Furthermore, for cluster group C(NA m ) to score the status, the scoring formula is as follows:

[0076]

[0077] Among them, Score[C(NA m )] represents cluster group C(NA m ) status score, |C(NA m )| represents the statistical cluster group C (NA m ) in the number of notarized files, A g Represents the statistical cluster group C (NA m ) The number of normal notarial files in the

[0078] The judgment of the normal notarization file is as follows:

[0079] Statistics Notary Archives NA m The number of exceptions is as follows:

[0080]

[0081] Among them, F mIndicates notarized file NA m The number of abnormalities;

[0082] Preset the abnormal number threshold θ, if F m <θ, then the notarization file NA m Recorded as normal notarization file.

[0083] Preset Status Score Threshold like Then determine the cluster group C(NA m ) and prompts the staff to perform a clustering operation on the cluster group C(NA m ) to conduct supervision and review of all notarial files within the jurisdiction.

[0084] For example, assuming the status score threshold is 0.6, there are three notarization files NA1, NA2, and NA3 in cluster group C(NA1), Rel(NA1, NA3) is 0.8, and the number of normal notarization files is 1. Substitute it into the formula to calculate Score[C(NA1)] = (0.75 + 0.8) * 0.33 = 0.5, then It is determined that there are abnormal notarial files in cluster group C (NA1), and the staff is prompted to supervise and review all notarial files in cluster group C (NA1).

[0085] See also Figure 2 In the second embodiment of the present invention, a notarial archive database storage supervision system based on digital cloud is provided, the system comprising: a log recording and state caching module, a state transition and correlation analysis module, an archive clustering grouping module and a cluster group scoring and anomaly detection module.

[0086] The log record and status cache module: establishes an operation log cache library for notarial archives, collects the notarial archive record status when the notarial archives are dynamically modified, and constructs a notarial archive record status set.

[0087] The state transition and correlation analysis module: constructs a state transition chain for the notarial archive based on the record status of the notarial archive; based on the state transition chain, determines whether the record status after dynamic modification matches the record status before the next dynamic modification, and calculates the correlation between different notarial archives.

[0088] The file clustering grouping module is used to divide the notarization files into different clustering groups based on the correlation degree.

[0089] The cluster group scoring and anomaly detection module: obtains all cluster groups in step S3 and constructs a cluster group set; scores the status of the cluster groups, presets the status score threshold, analyzes and supervises.

[0090] Furthermore, the log record and status cache module includes a dynamic record status cache unit and an archive status set construction unit.

[0091] The dynamic record status cache unit: establishes an operation log cache library for notarial archives, wherein the operation log cache library stores the notarial archive record status each time the notarial archives are dynamically modified, and each dynamic modification of the notarial archives corresponds to a notarial archive record status, wherein the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, wherein the record status before dynamic modification represents the archive content of the notarial archive before the dynamic modification occurs, and the record status after dynamic modification represents the archive content of the notarial archive after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are unique.

[0092] The archive status set construction unit collects the notarial archive record status when the notarial archive is dynamically modified, and constructs a notarial archive record status set, wherein the elements in the notarial archive record status set are composed of the record status before the dynamic modification and the record status after the dynamic modification.

[0093] Furthermore, the state transition and correlation analysis module includes a state transition chain generation unit and a correlation condition judgment unit.

[0094] The state transition chain generating unit constructs a label pair with the record state before dynamic modification and the record state after dynamic modification, and constructs a state transition chain for the notarization archive.

[0095] The association condition judgment unit: designs a condition judgment formula based on the state transition chain of the notarial archives to judge whether the record state after the previous dynamic modification matches the record state before the next dynamic modification; calculates the association between different notarial archives based on the state matching formula of the notarial archives.

[0096] Furthermore, the archive clustering grouping module includes a core archive clustering group building unit.

[0097] The core archive cluster group construction unit: based on the correlation, all notarial archives are grouped, specifically as follows: a notarial archive is selected as a core notarial archive, a cluster group is constructed, a correlation threshold is preset, and all notarial archives whose correlation with the notarial archive is greater than the correlation threshold are added to the cluster group; the above content is repeated, and when all notarial archives are added to the cluster group, the repetition is stopped.

[0098] Furthermore, the cluster group scoring and anomaly detection module includes a cluster group state scoring unit and an anomaly scoring threshold detection unit.

[0099] The cluster group status scoring unit obtains all cluster groups, builds a cluster group set, and performs status scoring on the cluster groups.

[0100] The abnormal score threshold detection unit is: a preset status score threshold, if the score is less than the status score threshold, it is determined that there are abnormal notarization files in the cluster group, and the staff is prompted to supervise and review all notarization files in the cluster group.

[0101] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0102] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A digital cloud-based notarial archive database storage supervision method, characterized in that: The method comprises the following steps: Step S1: Establish an operation log cache library for notarial archives, collect the notarial archive record status when the notarial archives are dynamically modified, and construct a notarial archive record status set; Step S2: Based on the notarial archive record status, construct a state transition chain for the notarial archive; based on the state transition chain, determine whether the record status after dynamic modification matches the record status before the next dynamic modification, and calculate the correlation between different notarial archives; Step S3: dividing the notarization files into different cluster groups based on the correlation degree; Step S4: Obtain all cluster groups in step S3 and construct a cluster group set; perform status scoring on the cluster groups, preset status scoring thresholds, analyze and supervise.

2. According to the digital cloud-based notarial archive database storage supervision method of claim 1, it is characterized in that: The specific implementation process of step S1 includes: Step S11: Establish an operation log cache of notarial archives, wherein the operation log cache stores the record status of the notarial archives each time the notarial archives are dynamically modified, and each dynamic modification of the notarial archives corresponds to a notarial archive record status, wherein the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, wherein the record status before dynamic modification represents the archive content of the notarial archives before the dynamic modification occurs, and the record status after dynamic modification represents the archive content of the notarial archives after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are both unique; the mth notarial archive is recorded as NA m , record the record status before the i-th dynamic modification as PO im , record the state after the i-th dynamic modification as AO im ; Step S12: Collect the i-th dynamic modification notarization file NA m The notarial archive record status at that time is constructed, and the notarial archive record status set is recorded as BI im ={HW im |i∈[1,I],m∈[1,M]}, and, HW im =[PO im ,AO im ], where HW im Indicates the i-th dynamic modification of the notarization file NA m The notarial file record status at that time, I represents the total number of dynamic modifications, M represents the total number of notarial files, [PO im ,AO im ] indicates the record status PO before dynamic modification im And dynamically modify the record status AO im The label pair.

3. A digital cloud-based notarial archive database storage supervision method according to claim 2, characterized in that: The specific implementation process of step S2 includes: Step S21: Based on the dynamic modification of the previous record state PO im And dynamically modify the record status AO im The tag pair [PO im ,AO im ], for notarized files NA m Construct a state transition chain as follows: Chain m ={[PO im ,AO im ]|i∈[1,I]} Among them, I represents the total number of dynamic modifications, Chain im Represents a state transition chain; Step S22: Based on the notarization file NA m State transition chain Chain m , design a conditional judgment formula to judge the record status AO after the i-th dynamic modification im Whether to record the status PO before the i+1th dynamic modification (i+1)m Match, as follows: Among them, PO (i+1)m Indicates the record status before the i+1th dynamic modification, X im Indicates notarized file NA m The state matching formula of ; Step S23: Based on the notarization file NA m Status matching formula, calculate notarization file NA m With notarized archives NA n The correlation between them is calculated as follows: Among them, Rel(NA m ,NA n ) indicates notarized file NA m With notarized archives NA n The correlation between them, and m≠n, X in Indicates notarized file NA n The state matching formula, F n Indicates notarized file NA n The number of abnormalities, ε represents the preset smoothing factor.

4. A digital cloud-based notarial archive database storage supervision method according to claim 3, characterized in that: The specific implementation process of step S3 includes: Step S32: Based on the correlation Rel(NA m ,NA n ), group all notarization files as follows: Step S32.1: Select notarization file NA m As the core notarial archive, a cluster group is constructed, and the relevance threshold τ is preset, which is related to the notarial archive NA m All notarial archives whose correlation degree is greater than the correlation threshold τ are added to the cluster group; Step S32.2: Return to step S32.

1. When all notarized archives are added to the cluster group, stop returning to step S32.1 and enter step S4.

5. A digital cloud-based notarial archive database storage supervision method according to claim 4, characterized in that: The specific implementation process of step S4 includes: Step S41: Obtain all cluster groups in step S3 and construct a cluster group set, denoted as CCS = {C(NA m )|m∈[1,M]}, where C(NA m ) indicates that it is based on the notarized file NA m The clustering groups; Step S42: cluster group C(NA m ) to score the status, the scoring formula is as follows: Among them, Score[C(NA m )] represents cluster group C(NA m ) status score, |C(NA m )| represents the statistical cluster group C (NA m ) in the number of notarized files, A g Represents the statistical cluster group C (NA m ) The number of normal notarial files in the Preset Status Score Threshold like Then determine the cluster group C(NA m ) and prompts the staff to perform a clustering operation on the cluster group C(NA m ) to conduct supervision and review of all notarial files within the jurisdiction.

6. A notarial archive database storage supervision system based on digital cloud, executing a notarial archive database storage supervision method based on digital cloud as claimed in any one of claims 1 to 5, characterized in that: The system includes: a log recording and state caching module, a state conversion and correlation analysis module, an archive clustering grouping module, and a cluster group scoring and anomaly detection module; The log record and status cache module: establishes an operation log cache library for notarial archives, collects the notarial archive record status when the notarial archives are dynamically modified, and constructs a notarial archive record status set; The state transition and correlation analysis module: based on the notarial archive record state, constructs a state transition chain for the notarial archive; based on the state transition chain, determines whether the record state after dynamic modification matches the record state before the next dynamic modification, and calculates the correlation between different notarial archives; The file clustering and grouping module is used to divide the notarization files into different clustering groups based on the correlation degree; The cluster group scoring and anomaly detection module: obtains all cluster groups in step S3 and constructs a cluster group set; scores the status of the cluster groups, presets the status score threshold, analyzes and supervises.

7. The notarial archive database storage and supervision system based on digital cloud according to claim 6 is characterized by: The log record and status cache module includes a dynamic record status cache unit and an archive status set construction unit; The dynamic record status cache unit: establishes an operation log cache library for notarial archives, wherein the operation log cache library stores the record status of the notarial archives each time the notarial archives are dynamically modified, and each dynamic modification of the notarial archives corresponds to a notarial archive record status, wherein the notarial archive record status includes a record status before dynamic modification and a record status after dynamic modification, wherein the record status before dynamic modification indicates the archive content of the notarial archives before the dynamic modification occurs, and the record status after dynamic modification indicates the archive content of the notarial archives after the dynamic modification is completed, and the record status before dynamic modification and the record status after dynamic modification corresponding to each dynamic modification are both unique; The archive status set construction unit collects the notarial archive record status when the notarial archive is dynamically modified, and constructs a notarial archive record status set, wherein the elements in the notarial archive record status set are composed of the record status before the dynamic modification and the record status after the dynamic modification.

8. The notarial archive database storage and supervision system based on digital cloud according to claim 7 is characterized by: The state transition and correlation analysis module includes a state transition chain generation unit and a correlation condition judgment unit; The state transition chain generating unit constructs a label pair with the record state before dynamic modification and the record state after dynamic modification, and constructs a state transition chain for the notarization archive; The association condition judgment unit: designs a condition judgment formula based on the state transition chain of the notarial archives to judge whether the record state after the previous dynamic modification matches the record state before the next dynamic modification; calculates the association between different notarial archives based on the state matching formula of the notarial archives.

9. The notarial archive database storage and supervision system based on digital cloud according to claim 8 is characterized by: The archive clustering grouping module includes a core archive clustering group building unit; The core archive cluster group construction unit: based on the correlation, groups all notarial archives, specifically as follows: selects a notarial archive as a core notarial archive, constructs a cluster group, presets a correlation threshold, and adds all notarial archives whose correlation with the notarial archive is greater than the correlation threshold to the cluster group; Repeat the above steps and stop when all notarized files are added to the cluster group.

10. The notarial archive database storage and supervision system based on digital cloud according to claim 9 is characterized in that: The cluster group scoring and anomaly detection module includes a cluster group state scoring unit and an anomaly scoring threshold detection unit; The cluster group status scoring unit: obtains all cluster groups, constructs a cluster group set, and performs status scoring on the cluster groups; The abnormal score threshold detection unit is: a preset status score threshold, if the score is less than the status score threshold, it is determined that there are abnormal notarization files in the cluster group, and the staff is prompted to supervise and review all notarization files in the cluster group.

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