An intelligent supervision system for online data processing and transaction processing services

Abstract

The present invention discloses an online data processing and transaction processing business intelligent supervision system, belonging to the field of transaction processing supervision technology; periodic monitoring and statistics are implemented for all transaction processing businesses of a target, and processing and analysis of periodic transaction states and data combination are implemented for a target transaction type according to the monitoring and statistical data, so as to obtain a local transaction processing business supervision sequence corresponding to the target transaction type in the monitoring period; transaction qualification analysis of different aspects is implemented for the target transaction type according to the local transaction processing business supervision sequence corresponding to different monitoring periods, so as to obtain transaction qualification identifications corresponding to different aspects, and through integration and analysis of transaction qualification identifications of different aspects, dynamic management of target transaction marketing plans associated with the target transaction type is adaptively performed; the present invention is used to solve the technical problems that the autonomous supervision and analysis processing effect of pre-stored transaction processing business in the existing plan is poor, and the autonomous optimization management effect is poor.

Description

Technical Field

[0001] The present invention relates to the technical field of transaction processing supervision, and in particular to an online data processing and transaction processing business intelligent supervision system. Background Art

[0002] Online data processing and transaction processing business refers to a series of services provided through the Internet or other network technologies. These services involve the collection, storage, processing of data, and various transaction activities based on these data; such business usually includes but is not limited to electronic payment, e-commerce platform, online financial services, data processing services and logistics information service platform.

[0003] When implementing the existing online data processing and transaction processing business supervision plan, it is impossible to implement multi-dimensional data processing analysis for the supervision analysis of pre-deposit transaction processing business, and to adaptively and dynamically optimize the existing pre-deposit payment business plan based on the analysis results of different dimensions, resulting in poor autonomous supervision and analysis of the pre-deposit transaction processing business, as well as poor autonomous optimization management. Summary of the invention

[0004] The purpose of the present invention is to provide an online data processing and transaction processing business intelligent supervision system to solve the technical problems of poor autonomous supervision and analysis of pre-stored transaction processing services and poor autonomous optimization management in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An online data processing and transaction processing business intelligent supervision system, comprising a supervision platform, and a transaction processing business supervision data processing module and a transaction processing business supervision data analysis management module connected to the supervision platform;

[0007] The transaction processing business supervision data processing module is used to implement periodic monitoring and statistics on all target transaction processing businesses through the supervision platform, and implement periodic transaction status processing and data combination for the target transaction type based on the monitoring and statistical data to obtain the local transaction processing business supervision sequence corresponding to the monitoring period; the local transaction processing business supervision sequence is obtained by combining the local transaction implementation degree and the overall transaction implementation degree obtained by processing;

[0008] The transaction processing business supervision data evaluation module is used to implement different aspects of transaction eligibility analysis on the target transaction type according to the local transaction processing business supervision sequence corresponding to different monitoring periods, and dynamically manage the target transaction marketing plan associated with the target transaction type adaptively based on the analysis results of different aspects.

[0009] Preferably, within a preset monitoring period, the transaction types and transaction amounts corresponding to all transaction processing businesses of the target are counted; the transaction validity corresponding to all transaction amounts is screened and classified;

[0010] If a refund occurs subsequently to the transaction amount, the transaction amount will be marked as an invalid transaction amount; if no refund occurs subsequently to the transaction amount, the transaction amount will be marked as a valid transaction amount;

[0011] And, the total amount of invalid transactions WJ and the total number of invalid transactions WC corresponding to the target transaction type are obtained, and data analysis is performed through the invalid transaction identification function to output the invalid impact identifier WY corresponding to the target transaction type.

[0012] Preferably, the expression of the invalid transaction identification function is: In the formula, WJ0 and WC0 are the total amount of invalid transaction standards and the total number of invalid transaction standards respectively;

[0013] The invalid impact flag contains a value of 0 or 1, indicating whether the invalid impact corresponding to the target transaction type is normal or abnormal;

[0014] Generate a transaction service optimization plan for the target transaction type based on the invalid impact indicator with a value of 1.

[0015] Preferably, all corresponding valid transaction amounts are summed up according to the transaction type to obtain the total transaction amount of the type;

[0016] Get the target total number of valid transactions and target total amount of valid transactions corresponding to the target transaction type, and use the formula Calculate and obtain the local transaction implementation degree JS corresponding to the target transaction type in the monitoring period; where JC and JJ are the target total number of valid transactions and the target total amount of valid transactions corresponding to the target transaction type in the monitoring period; ZC and ZJ are the total number of valid transactions and the total amount of valid transactions corresponding to all transaction processing businesses in the monitoring period; A and B are the standard proportion of the total number of transactions and the standard proportion of the total amount of transactions corresponding to the target transaction type in the monitoring period; is the floor rounding function;

[0017] The periodic transaction status of the target transaction type within the monitoring period is dynamically marked according to the local transaction implementation degree.

[0018] Preferably, if the local transaction implementation degree is 0, a completely abnormal prompt of the periodic transaction status is generated;

[0019] If the local transaction implementation degree is 1, a partial abnormal prompt of the periodic transaction status is generated;

[0020] If the local transaction implementation degree is greater than 1, a prompt indicating that the periodic transaction status is completely normal will be generated.

[0021] Preferably, by the formula Calculate and obtain the overall transaction implementation degree ZS corresponding to the target transaction type in the monitoring period; where JC′ and JJ′ are the total number of target transaction statistics and the total amount of target transaction statistics corresponding to the target transaction type in all monitoring periods; ZC′ and ZJ′ are the total number of all transaction statistics and the total amount of all transaction statistics corresponding to all transaction processing businesses in all monitoring periods; N is the total number corresponding to the monitoring period;

[0022] The overall transaction status of the target transaction type in all monitoring cycles is dynamically marked according to the overall transaction implementation degree.

[0023] Preferably, if the overall transaction implementation degree is 0, an overall transaction status abnormality prompt is generated;

[0024] If the overall transaction implementation degree is not 0, a prompt indicating that the overall transaction status is normal is generated;

[0025] The local transaction implementation degree and the overall transaction implementation degree obtained through monitoring period processing are sorted and combined to obtain the local transaction processing business supervision sequence.

[0026] Preferably, when performing transaction eligibility analysis in terms of local supervision on target transaction types according to the local transaction processing business supervision sequences corresponding to different monitoring periods;

[0027] Count the total number of local transaction implementation degrees NJ1 greater than 1 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and count the total number of overall transaction implementation degrees NJ2 greater than 0 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and perform data analysis on the obtained total number of local transaction implementation degrees NJ1 and total number of overall transaction implementation degrees NJ2 in the transaction qualification identification function, and output the transaction qualification identification HBi of the corresponding data item.

[0028] Preferably, the expression of the transaction qualification identification function is: Where, i = 1, 2; NZi is NZ1, NZ2, which are the total number of all local transaction implementation degrees and the total number of all overall transaction implementation degrees respectively; Ci is C1, C2, which are the qualified standard values ​​of local transactions and the qualified standard values ​​of overall transactions respectively;

[0029] The transaction qualification flag contains a value of 0 or 1, indicating that the transaction of the corresponding data item is qualified or unqualified;

[0030] The output different transaction qualification identifiers are sorted and combined to obtain a transaction qualification processing sequence.

[0031] Preferably, when dynamically managing the target transaction marketing scheme associated with the target transaction type according to the transaction qualification processing sequence;

[0032] The transaction qualification processing sequence is traversed and analyzed, and based on the analysis results, the target transaction marketing plan associated with the target transaction type is maintained for subsequent implementation, the target transaction marketing plan associated with the target transaction type is adjusted as a whole, or the target transaction marketing plan associated with the target transaction type is adjusted partially.

[0033] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0034] The present invention implements periodic monitoring and statistics on all transaction processing businesses of the target through the supervision platform, and performs periodic transaction status processing and data combination on the target transaction type based on the monitoring and statistical data, so as to obtain the local transaction implementation degree and periodic transaction status, the overall transaction implementation degree and the overall transaction status of the target transaction type corresponding to the monitoring period, and at the same time obtain the local transaction processing business supervision sequence through data combination, which can provide reliable multi-dimensional processing data support for subsequent transaction qualification analysis in different aspects, and improve the autonomous supervision analysis and processing effect of the pre-stored transaction processing business.

[0035] The present invention implements different aspects of transaction eligibility analysis on target transaction types according to the local transaction processing business supervision sequences corresponding to different monitoring periods, and obtains transaction qualification identifications corresponding to different aspects. By integrating and analyzing the transaction qualification identifications of different aspects, and adaptively and dynamically managing the target transaction marketing plans associated with the target transaction types, it realizes the expansion and mining analysis of different aspects of transaction supervision processing data in the early stage, and improves the autonomous optimization management effect of pre-stored transaction processing services. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 This is a module block diagram of an online data processing and transaction processing business intelligent supervision system of the present invention.

[0038] Figure 2 The present invention is a flowchart of the implementation steps of an online data processing and transaction processing business intelligent supervision system. DETAILED DESCRIPTION

[0039] 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.

[0040] like Figure 1 to Figure 2 As shown, the present invention is an online data processing and transaction processing business intelligent supervision system, including a supervision platform, and a transaction processing business supervision data processing module and a transaction processing business supervision data analysis management module connected to the supervision platform;

[0041] The transaction processing business supervision data processing module is used to implement periodic monitoring and statistics on all target transaction processing businesses through the supervision platform, and implement periodic transaction status processing and data combination for the target transaction type based on the monitoring and statistical data to obtain the local transaction processing business supervision sequence corresponding to the monitoring period; including:

[0042] Within the preset monitoring period, the transaction types and transaction amounts corresponding to all transaction processing businesses of the target are counted;

[0043] The target may be a shopping mall; the transaction processing business includes offline transaction processing and online transaction processing;

[0044] The unit of monitoring period is day, which can be 30 days;

[0045] Transaction types include but are not limited to mobile payment transaction types, such as Alipay, WeChat Pay, etc.;

[0046] Credit / debit card payment type, such as POS card payment;

[0047] Prepaid payment transaction types, such as prepaid cards and e-wallets, where users need to pre-deposit a certain amount of money into a prepaid card or e-wallet;

[0048] Screen and classify the transaction validity corresponding to all transaction amounts;

[0049] If a refund is subsequently made to the transaction amount, the corresponding transaction amount will be marked as an invalid transaction amount;

[0050] If there is no subsequent refund for the transaction amount, the transaction amount will be marked as a valid transaction amount;

[0051] It should be noted that, in the embodiment of the present invention, by screening and classifying the transaction validity corresponding to all transaction amounts in the early stage, all transactions in which refunds have occurred can be eliminated, thereby ensuring the reliability of subsequent transaction supervision data processing and analysis in different aspects, and at the same time providing reliable processing data support for the dynamic implementation of transaction service optimization plans for target transaction types.

[0052] And, obtaining the total amount of invalid transactions WJ and the total number of invalid transactions WC corresponding to the target transaction type, and performing data analysis through the invalid transaction identification function to output the invalid impact identifier WY corresponding to the target transaction type; the target transaction type is specifically a pre-stored transaction processing business;

[0053] Among them, the expression of the invalid transaction identification function is: Wherein, WJ0 and WC0 are the standard total amount of invalid transactions and the standard total number of invalid transactions, respectively. They can be determined based on the median of the total amount of all invalid transactions and the median of the total number of all invalid transactions corresponding to all transaction types, or customized based on the actual application requirements of the actual application scenario.

[0054] It should be noted that the invalid impact identifier is used to calculate all invalid transaction data corresponding to the target transaction type to digitally represent the invalid impact corresponding to the target transaction type;

[0055] The invalid impact flag contains a value of 0 or 1, indicating whether the invalid impact corresponding to the target transaction type is normal or abnormal;

[0056] Maintain the existing target transaction type transaction service plan according to the invalid impact flag with a value of 0;

[0057] Generate a target transaction type transaction service optimization plan according to the invalid impact flag with a value of 1, which may specifically be to improve and perfect the service content and service requirements of the existing target transaction type transaction service plan to reduce the number of subsequent invalid transactions of the target transaction type;

[0058] It should be noted that prepaid services have many advantages for service providers, which can help enterprises improve operational efficiency, reduce risks and enhance customer relationships; for example, cash flow improvement, reduction of bad debt risk, cost forecasting and planning, and improved customer loyalty, etc. However, if the prepaid transaction processing business is in an abnormal state of invalid impact in terms of invalid transactions, it is necessary to take proactive measures to reduce invalid transactions in the prepaid transaction processing business, thereby improving the positive impact of prepaid services;

[0059] Sum up all corresponding valid transaction amounts according to the transaction type to obtain the total transaction amount of that type;

[0060] Get the target total number of valid transactions and target total amount of valid transactions corresponding to the target transaction type, and use the formula Calculate and obtain the local transaction implementation degree JS corresponding to the target transaction type in the monitoring period; where JC and JJ are the target total number of valid transactions and the target total amount of valid transactions corresponding to the target transaction type in the monitoring period; ZC and ZJ are the total number of valid transactions and the total amount of valid transactions corresponding to all transaction processing businesses in the monitoring period; A and B are the standard proportion of the total number of transactions and the standard proportion of the total amount of transactions corresponding to the target transaction type in the monitoring period, which can be determined based on the median of the proportion of the total number of transactions and the median of the proportion of the total amount of transactions corresponding to all previous monitoring periods; is the floor rounding function;

[0061] It should be noted that the local transaction implementation degree is used to calculate the beneficial transaction data of different aspects corresponding to the target transaction type within the monitoring period, so as to digitally represent the periodic transaction status of the target transaction type within the monitoring period;

[0062] Dynamically mark the periodic transaction status of the target transaction type within the monitoring period according to the local transaction implementation degree;

[0063] If the local transaction implementation degree is 0, a prompt indicating that the periodic transaction status is completely abnormal is generated;

[0064] If the local transaction implementation degree is 1, a partial abnormal prompt of the periodic transaction status is generated;

[0065] If the local transaction implementation degree is greater than 1, a prompt indicating that the periodic transaction status is completely normal is generated;

[0066] In the embodiment of the present invention, by performing data calculation and analysis prompts on the periodic transaction status of the target transaction type within the monitoring period, it is possible to achieve periodic periodic transaction status supervision and processing of the target transaction type, and at the same time provide reliable local supervision and analysis data support for subsequent transaction eligibility analysis corresponding to different aspects of the target transaction type.

[0067] And, through the formula Calculate and obtain the overall transaction implementation degree ZS corresponding to the target transaction type in the monitoring period; where JC′ and JJ′ are the total number of target transaction statistics and the total amount of target transaction statistics corresponding to the target transaction type in all monitoring periods; ZC′ and ZJ′ are the total number of all transaction statistics and the total amount of all transaction statistics corresponding to all transaction processing businesses in all monitoring periods; N is the total number corresponding to the monitoring period;

[0068] It should be noted that the overall transaction implementation degree is used to calculate all target transaction data of the target transaction type within the monitoring period to digitally represent the overall transaction status of the target transaction type in all monitoring periods;

[0069] Dynamically mark the overall transaction status of the target transaction type in all monitoring cycles based on the overall transaction implementation degree;

[0070] If the overall transaction implementation degree is 0, an abnormal prompt for the overall transaction status is generated;

[0071] If the overall transaction implementation degree is not 0, a prompt indicating that the overall transaction status is normal is generated;

[0072] The local transaction implementation degree and the overall transaction implementation degree obtained by monitoring period processing are sorted and combined to obtain the local transaction processing business supervision sequence;

[0073] In the embodiment of the present invention, periodic monitoring and statistics are implemented on all transaction processing businesses of the target through the supervision platform, and the processing and analysis of the periodic transaction status and data combination are implemented on the target transaction type based on the monitoring and statistical data, so as to obtain the local transaction implementation degree and periodic transaction status, the overall transaction implementation degree and the overall transaction status of the target transaction type in the monitoring period, and at the same time, the local transaction processing business supervision sequence is obtained through data combination, which can provide reliable multi-dimensional processing data support for subsequent transaction qualification analysis in different aspects, and improve the autonomous supervision analysis and processing effect of the pre-stored transaction processing business.

[0074] The transaction processing business supervision data evaluation module is used to perform different aspects of transaction eligibility analysis on target transaction types according to the local transaction processing business supervision sequences corresponding to different monitoring periods, and dynamically manage the target transaction marketing plans associated with the target transaction types according to the analysis results of different aspects; including:

[0075] When conducting transaction eligibility analysis for local supervision of target transaction types according to the local transaction processing business supervision sequence corresponding to different monitoring periods;

[0076] Count the total number of local transaction implementation degrees NJ1 greater than 1 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and count the total number of overall transaction implementation degrees NJ2 greater than 0 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and perform data analysis on the obtained total number of local transaction implementation degrees NJ1 and the total number of overall transaction implementation degrees NJ2 through the transaction qualification identification function, and output the transaction qualification identification HBi of the corresponding data item;

[0077] Among them, the expression of transaction qualification identification function is: Wherein, i=1, 2; NZi is NZ1 and NZ2, which are the total number of all local transaction implementation degrees and the total number of all overall transaction implementation degrees respectively; Ci is C1 and C2, which are the local transaction qualified standard value and the overall transaction qualified standard value respectively, which can be determined based on all historical local transaction qualified big data and overall transaction qualified big data, or customized according to the actual application requirements of the actual application scenario;

[0078] It should be noted that the transaction qualification mark is used to analyze the transaction processing data obtained from the previous supervision of different aspects, and digitally represent the transaction qualification status corresponding to different data items;

[0079] The transaction qualification flag contains a value of 0 or 1, indicating that the transaction of the corresponding data item is qualified or unqualified;

[0080] Sort and combine the output different transaction qualification identifiers to obtain a transaction qualification processing sequence;

[0081] In an embodiment of the present invention, by performing data analysis on the transaction processing data obtained from different aspects of the previous processing, the transaction qualification status corresponding to different data items can be obtained, which can provide reliable multi-dimensional supervision processing data support for the dynamic management of target transaction marketing plans associated with subsequent target transaction types.

[0082] When dynamically managing the target transaction marketing plans associated with the target transaction types according to the transaction qualification processing sequence;

[0083] Perform traversal analysis on the transaction qualification processing sequence. If the elements in the transaction qualification processing sequence are the same and all are 1, generate an overall maintenance instruction and maintain the subsequent implementation of the target transaction marketing plan associated with the target transaction type;

[0084] If the elements in the transaction qualified processing sequence are the same and are all 0, an overall adjustment instruction is generated and the target transaction marketing plan associated with the target transaction type is adjusted overall;

[0085] If the elements in the transaction qualification processing sequence are different, a local adjustment instruction is generated and a partial adjustment is made to the target transaction marketing plan associated with the target transaction type;

[0086] Among them, overall adjustment can specifically rectify and improve all the contents and rule requirements of the target transaction marketing plan associated with the target transaction type;

[0087] Partial adjustments can be made, specifically, selective rectification and improvement of some contents and rule requirements of the target transaction marketing plan associated with the target transaction type. The specific rectification content and rule requirements can be determined based on the actual application scenario.

[0088] In the embodiment of the present invention, different aspects of transaction eligibility analysis are implemented on the target transaction type according to the local transaction processing business supervision sequence corresponding to different monitoring periods, and transaction qualification identifications corresponding to different aspects are obtained. By integrating and analyzing the transaction qualification identifications of different aspects, and adaptively managing the target transaction marketing plans associated with the target transaction types, the expansion and mining analysis of the transaction supervision processing data of different aspects in the early stage is realized, and the autonomous optimization management effect of the pre-stored transaction processing business is improved.

[0089] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0090] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0091] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0092] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0093] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution 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 solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An online data processing and transaction processing business intelligent supervision system, characterized in that: It includes a supervision platform, and a transaction processing business supervision data processing module and a transaction processing business supervision data analysis management module connected to the supervision platform; The transaction processing business supervision data processing module is used to implement periodic monitoring and statistics on all target transaction processing businesses through the supervision platform, and implement periodic transaction status processing and data combination for the target transaction type based on the monitoring and statistical data to obtain the local transaction processing business supervision sequence corresponding to the monitoring period; the local transaction processing business supervision sequence is obtained by combining the local transaction implementation degree and the overall transaction implementation degree obtained by processing; The transaction processing business supervision data evaluation module is used to perform different aspects of transaction eligibility analysis on target transaction types according to the local transaction processing business supervision sequences corresponding to different monitoring periods, and dynamically manage the target transaction marketing plans associated with the target transaction types according to the analysis results of different aspects; Among them, when conducting transaction eligibility analysis on local supervision of target transaction types according to the local transaction processing business supervision sequence corresponding to different monitoring periods; Count the total number of local transaction implementation degrees NJ1 greater than 1 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and count the total number of overall transaction implementation degrees NJ2 greater than 0 in the local transaction processing business supervision sequence corresponding to all monitoring periods, and perform data analysis on the obtained total number of local transaction implementation degrees NJ1 and the total number of overall transaction implementation degrees NJ2 through the transaction qualification identification function, and output the transaction qualification identification HBi of the corresponding data item; Sort and combine the output different transaction qualification identifiers to obtain a transaction qualification processing sequence; When dynamically managing the target transaction marketing plans associated with the target transaction types according to the transaction qualification processing sequence; The transaction qualification processing sequence is traversed and analyzed, and based on the analysis results, the target transaction marketing plan associated with the target transaction type is maintained for subsequent implementation, the target transaction marketing plan associated with the target transaction type is adjusted as a whole, or the target transaction marketing plan associated with the target transaction type is adjusted partially.

2. According to claim 1, an online data processing and transaction processing business intelligent supervision system is characterized in that: During the preset monitoring period, the transaction types and transaction amounts corresponding to all transaction processing businesses of the target are counted; the transaction validity corresponding to all transaction amounts is screened and classified; If a refund occurs subsequently to the transaction amount, the transaction amount will be marked as an invalid transaction amount; if no refund occurs subsequently to the transaction amount, the transaction amount will be marked as a valid transaction amount; And, the total amount of invalid transactions WJ and the total number of invalid transactions WC corresponding to the target transaction type are obtained, and data analysis is performed through the invalid transaction identification function to output the invalid impact identifier WY corresponding to the target transaction type.

3. The online data processing and transaction processing business intelligent supervision system according to claim 2 is characterized in that: The expression of invalid transaction identification function is: In the formula, WJ0 and WC0 are the total amount of invalid transaction standards and the total number of invalid transaction standards respectively; The invalid impact flag contains a value of 0 or 1, indicating whether the invalid impact corresponding to the target transaction type is normal or abnormal; Generate a transaction service optimization plan for the target transaction type based on the invalid impact indicator with a value of 1.

4. The online data processing and transaction processing business intelligent supervision system according to claim 3 is characterized in that: Sum up all corresponding valid transaction amounts according to the transaction type to obtain the total transaction amount of that type; Get the target total number of valid transactions and target total amount of valid transactions corresponding to the target transaction type, and use the formula Calculate and obtain the local transaction implementation degree JS corresponding to the target transaction type in the monitoring period; where JC and JJ are the target total number of valid transactions and the target total amount of valid transactions corresponding to the target transaction type in the monitoring period; ZC and ZJ are the total number of valid transactions and the total amount of valid transactions corresponding to all transaction processing businesses in the monitoring period; A and B are the standard proportion of the total number of transactions and the standard proportion of the total amount of transactions corresponding to the target transaction type in the monitoring period; is the floor rounding function; The periodic transaction status of the target transaction type within the monitoring period is dynamically marked according to the local transaction implementation degree.

5. The online data processing and transaction processing business intelligent supervision system according to claim 4 is characterized in that: If the local transaction implementation degree is 0, a prompt indicating that the periodic transaction status is completely abnormal is generated; If the local transaction implementation degree is 1, a partial abnormal prompt of the periodic transaction status is generated; If the local transaction implementation degree is greater than 1, a prompt indicating that the periodic transaction status is completely normal will be generated.

6. The online data processing and transaction processing business intelligent supervision system according to claim 4 is characterized in that: By formula Calculate and obtain the overall transaction implementation degree ZS corresponding to the target transaction type in the monitoring period; where JC′ and JJ′ are the total number of target transaction statistics and the total amount of target transaction statistics corresponding to the target transaction type in all monitoring periods, respectively; ZC′ and ZJ′ are the total number of all transaction statistics and the total amount of all transaction statistics for all transaction processing businesses in all monitoring periods; N is the total number corresponding to the monitoring period; The overall transaction status of the target transaction type in all monitoring cycles is dynamically marked according to the overall transaction implementation degree.

7. An online data processing and transaction processing business intelligent supervision system according to claim 6, characterized in that: If the overall transaction implementation degree is 0, an abnormal prompt for the overall transaction status is generated; If the overall transaction implementation degree is not 0, a prompt indicating that the overall transaction status is normal is generated; The local transaction implementation degree and the overall transaction implementation degree obtained through monitoring period processing are sorted and combined to obtain the local transaction processing business supervision sequence.

8. The online data processing and transaction processing business intelligent supervision system according to claim 1 is characterized in that: The expression of transaction qualification identification function is: Where, i = 1, 2; NZi is NZ1, NZ2, which are the total number of all local transaction implementation degrees and the total number of all overall transaction implementation degrees respectively; Ci is C1, C2, which are the qualified standard values ​​of local transactions and the qualified standard values ​​of overall transactions respectively; The transaction qualification flag contains a value of 0 or 1, indicating whether the transaction of the corresponding data item is qualified or unqualified.

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