CN113177845A - Business abnormity monitoring method based on supply chain finance - Google Patents

Business abnormity monitoring method based on supply chain finance Download PDF

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Publication number
CN113177845A
CN113177845A CN202110269120.1A CN202110269120A CN113177845A CN 113177845 A CN113177845 A CN 113177845A CN 202110269120 A CN202110269120 A CN 202110269120A CN 113177845 A CN113177845 A CN 113177845A
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transaction
rule
center
check
module
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Inventor
姜勇
李印
王伟平
王玉娟
王江玉
陈娜娜
张新
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Zhongqi Scc Beijing Finance Information Service Co ltd
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Zhongqi Scc Beijing Finance Information Service Co ltd
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Priority to CN202110269120.1A priority Critical patent/CN113177845A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

The invention discloses a supply chain finance-based business abnormity monitoring method, which comprises the following steps: after a business application of a supply chain financial platform sends a transaction request, a transaction center receives the transaction request, asynchronously initiates an accounting application, and a safety monitoring center monitors instruction messages sent by the transaction center and checks a business action execution check rule; and the monitoring center executes data authentication of the check result after executing the check rule check, records the authenticated data, inquires the authentication result, updates the bill and the timing task state according to the returned result, and performs alarm notification on the business transaction of which the check rule check result is not passed. The invention realizes the safety monitoring of business transaction, carries out abnormal verification on business and transaction problems which can not be found in a supply chain financial system in time, realizes the functions of risk control and business audit, calls the switch of a safety monitoring center in real time, and carries out notification and alarm aiming at abnormal business scenes, transactions and other events to remind a user of processing in time.

Description

Business abnormity monitoring method based on supply chain finance
Technical Field
The invention relates to the technical field of computers, in particular to a supply chain finance-based business abnormity monitoring method.
Background
The globalization and the deepening of division of labor, the supply chain of modern enterprises is continuously prolonged, the characteristics of zero fragmentation, complication, geographical decentralization and the like appear, the financial information of the supply chain is opaque and asymmetric, the monitoring is difficult and the like, and the supply chain management is challenged layer by layer. According to statistics of research reports, the scale of the current supply chain financial market in China exceeds 10 trillion, and is expected to reach 14.98 trillion yuan by 2020.
However, in such a large-scale supply chain financial market in China, a plurality of pain problems exist. In order to solve the problem of difficulty in visualization of supply chain finance, a plurality of enterprises release an online supply chain finance platform, all businesses can be performed online, convenience and rapidness are realized, and information is safe and reliable.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a service abnormity monitoring method based on supply chain finance aiming at the defects related in the background technology, the service of a supply chain finance platform is verified in real time, the service error data is found to alarm, the service event and the fund event are registered and summarized in real time, and the auditing and monitoring are carried out by means of bookkeeping, account checking and verification, so that the safety and the reliability of the system are improved.
The technical problems of the invention are realized by adopting the following technical scheme:
a business abnormity monitoring method based on supply chain finance comprises the following steps:
(1) configuring a monitoring center in a supply chain financial system, wherein the monitoring center comprises a gateway, a transaction center, a safety monitoring center and a message center, and the transaction center receives a transaction request after the transaction request is sent by a service application of a supply chain financial platform; or, after the fund transaction application is initiated by the fund service of the financial platform of the supply chain, the transaction center receives the transaction request;
(2) after a business application of a supply chain financial platform sends a transaction request, a transaction center receives the transaction request, judges whether an accounting switch of a safety monitoring center is in an open state or not, if the accounting switch is in the open state, asynchronously initiates an accounting application, and sets a transaction business state as in transaction;
(3) the safety monitoring center monitors instruction messages sent by the transaction center, calls a safety monitoring center interface and checks a service action according to a check rule;
the checking method of the check rule comprises the following steps: initiating service application of a supply chain financial platform, asynchronously initiating a verification application, initializing a verification task by the security monitoring center, inquiring a rule detail list as an enabled rule, loading accounting subjects and rules, judging the rules, and feeding back a verification result according to a judgment result;
(4) the monitoring center executes data authentication of an inspection result after executing check rule inspection, records data after passing the authentication, executes a task of regularly inquiring an authentication state, the transaction center requests the security monitoring center to inquire the authentication result, if the authentication state is pass, a pass instruction message is sent, the next service operation is executed, if the authentication state is fail, the service is terminated;
(5) according to the returned result of the supply chain financial system service party, the checking rule check result is passed, the transaction state and the timing task state are updated, and the bookkeeping is successful; checking the rule to be failed, updating the states of the transaction and the timed task, recording the reason of authentication failure, and storing the transaction record;
(6) and the safety monitoring center carries out alarm notification on the business transaction and the fund transaction which do not pass the check result of the check rule.
Preferably, the safety monitoring center comprises a data safety authentication module, a monitoring alarm module, a rule factory module and a data report module, the message center is connected with the monitoring alarm module and sends message notifications to users and all modules, the gateway is connected with a user interface, the internal service of the transaction center calls the nodes of the safety monitoring center through a third-party plug-in, a heartbeat mechanism is adopted to transmit real-time data and check the nodes of the safety monitoring center through the rule factory module, abnormal data reports are carried out after the check is completed, and real-time messages are sent through the message center.
Preferably, the security monitoring center further comprises an accounting module, a billing module, a daily cutting module, a subject module and a rule engine module, wherein when the billing operation is performed, the rule engine module performs rule check, after the rule check result is fed back, the subject module configures the subject, the accounting module performs real-time accounting, and the billing module performs single-stroke or batch billing and pushes the billing result; the daily cutting module executes a set daily cutting timing task, the accounting module receives instructions to perform subject accounting, accounting main body accounting and external system accounting, and then the accounting module performs accounting and pushes accounting results.
Preferably, the data security authentication module of the security monitoring center performs real-time authentication and analysis processing on transaction data, verifies the correctness of the data in real time, the rule factory performs dynamic rule loading, performs dynamic rule configuration, receives instruction management rule inquiry, disables starting and executes the management rule, the data reporting module provides report information for a system background, provides a data inquiry interface for the data security authentication module, performs abnormal data display, and the monitoring alarm module provides short message alarm for the data security authentication.
Preferably, the data of the transaction center is sent to a security monitoring center for data security authentication, an interface is checked, parameter basic check is carried out, the parameter basic check does not pass, and a result is directly returned to the transaction center; after the parameter basic check is passed, calling rule check, after the rule check is passed, obtaining a rule list according to the service type in a check rule base, reading rule information, configuring check according to the rule, executing check logic, obtaining a check result, and calling persistence; judging the inspection result, forming a data report by the inspection result data through a report tool, if the inspection result passes, storing the inspection success result, and returning the result to the transaction center; if the check result is not passed, the check failure result is stored, a message notification interface is called to send early warning information, the early warning information adopts a short message and mail form, and the final return result is sent to the transaction center.
Preferably, the rule information is stored in a database, and provides specific rule information including, but not limited to, execution sequence and method information; the database also comprises a pass record table for storing pass records and providing basis for rule logic check, and a fail record table for storing fail data of the check logic.
Preferably, the rule factory includes an offline rule base, and the rule factory receives an external instruction, performs dynamic loading configuration of the rule, enables and disables the rule, and executes and calls the offline rule base.
Preferably, the implementation architecture of the supply chain finance-based business anomaly monitoring method comprises an interface layer, an application layer, a field layer and a base layer, wherein the base layer comprises a message notification, a mysql cluster and a redis cluster, the interface layer comprises a user interface and an API interface, the user interface is connected with the API interface, the application layer comprises a data security authentication module, a rule factory module, a monitoring alarm module and a data report module, the field layer comprises an aggregation service and a field service, and the aggregation service integrates an entity and a value object.
Preferably, the implementation method of the supply chain finance-based business anomaly monitoring method is as follows: the user clicks a user interface, the gateway sends registration service to the nacos service center registration cluster for registration, a service list is obtained and returned to the gateway, the transaction center sends a service registration and discovery command to the nacos service center registration cluster for registration, data is sent to one of the nodes of the safety monitoring center, data real-time monitoring is carried out through a heartbeat mechanism, the data enters a rule factory module for verification, a verification result is returned to the transaction center, fund transaction monitoring is carried out according to the verification result, abnormal transactions refuse to enter a fund pool, an abnormal transaction report is generated and handed in for manual intervention.
Preferably, the transaction center is provided with a degraded switch, an automatic refreshing function is configured in the nacos service center to call the switch of the security monitoring center, and when the security monitoring center is down or the network is abnormal, the service of the security monitoring center is disconnected.
The invention realizes the safety monitoring of business transaction, monitors and records the abnormal scenes of the business of a supply chain financial platform and a supply chain financial system, carries out abnormal verification on the business and the transaction problems which can not be found in time in the operation process of the supply chain financial system, realizes the functions of risk control and business audit in a billing mode, calls a switch of a safety monitoring center in real time, carries out rule check, carries out notification and alarm aiming at the abnormal business scenes, the fund transaction and other events, reminds a user to process in time, can carry out offline safety monitoring service without restarting when the safety monitoring system is down or network abnormality and other conditions occur, can realize low invasion and high expansion of the system and improves the availability and stability of the system when the supply chain financial platform or the system of the safety monitoring center is configured.
Detailed Description
The technical solution of the present invention will be described in further detail below. It is understood that the embodiments described are only a few embodiments, not all embodiments, and that all other embodiments obtained by those skilled in the art without the use of inventive faculty are within the scope of the invention.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components and/or sections, these elements, components and/or sections should not be limited by these terms.
A business abnormity monitoring method based on supply chain finance comprises the following steps:
(1) configuring a monitoring center in a supply chain financial system, wherein the monitoring center comprises a gateway, a transaction center, a safety monitoring center and a message center, and the transaction center receives a transaction request after the transaction request is sent by a service application of a supply chain financial platform; or, after the fund transaction application is initiated by the fund service of the financial platform of the supply chain, the transaction center receives the transaction request;
(2) after a business application of a supply chain financial platform sends a transaction request, a transaction center receives the transaction request, judges whether an accounting switch of a safety monitoring center is in an open state or not, if the accounting switch is in the open state, asynchronously initiates an accounting application, and sets a transaction business state as in transaction;
(3) the safety monitoring center monitors instruction messages sent by the transaction center, calls a safety monitoring center interface and checks a service action according to a check rule;
the checking method of the check rule comprises the following steps: initiating service application of a supply chain financial platform, asynchronously initiating a verification application, initializing a verification task by the security monitoring center, inquiring a rule detail list as an enabled rule, loading accounting subjects and rules, judging the rules, and feeding back a verification result according to a judgment result;
(4) the monitoring center executes data authentication of an inspection result after executing check rule inspection, records data after passing the authentication, executes a task of regularly inquiring an authentication state, the transaction center requests the security monitoring center to inquire the authentication result, if the authentication state is pass, a pass instruction message is sent, the next service operation is executed, if the authentication state is fail, the service is terminated;
(5) according to the returned result of the supply chain financial system service party, the checking rule checks that the result is passed, the bill and the timing task state are updated, and the bookkeeping is successful; checking the rule to be failed, updating the bill and the timing task state, recording the reason of authentication failure, and storing a transaction order and a fund record;
(6) and the safety monitoring center carries out alarm notification on the business transaction and the fund transaction which do not pass the check result of the check rule.
Preferably, the safety monitoring center comprises a data safety authentication module, a monitoring alarm module, a rule factory module and a data report module, the message center is connected with the monitoring alarm module and sends message notifications to users and all modules, the gateway is connected with a user interface, the internal service of the transaction center calls the nodes of the safety monitoring center through a third-party plug-in, a heartbeat mechanism is adopted to transmit real-time data and check the nodes of the safety monitoring center through the rule factory module, abnormal data reports are carried out after the check is completed, and real-time messages are sent through the message center.
Preferably, the security monitoring center further comprises an accounting module, a billing module, a daily cutting module, a subject module and a rule engine module, wherein when the billing operation is performed, the rule engine module performs rule check, after the rule check result is fed back, the subject module configures the subject, the accounting module performs real-time accounting, and the billing module performs single-stroke or batch billing and pushes the billing result; the daily cutting module executes a set daily cutting timing task, the accounting module receives instructions to perform subject accounting, accounting main body accounting and external system accounting, and then the accounting module performs accounting and pushes accounting results.
Preferably, the data security authentication module of the security monitoring center performs real-time authentication and analysis processing on transaction data, verifies the correctness of the data in real time, the rule factory performs dynamic rule loading, performs dynamic rule configuration, receives instruction management rule inquiry, disables starting and executes the management rule, the data reporting module provides report information for a system background, provides a data inquiry interface for the data security authentication module, performs abnormal data display, and the monitoring alarm module provides short message alarm for the data security authentication.
Preferably, the data of the transaction center is sent to a security monitoring center for data security authentication, an interface is checked, parameter basic check is carried out, the parameter basic check does not pass, and a result is directly returned to the transaction center; after the parameter basic check is passed, calling rule check, after the rule check is passed, obtaining a rule list according to the service type in a check rule base, reading rule information, configuring check according to the rule, executing check logic, obtaining a check result, and calling persistence; judging the inspection result, forming a data report by the inspection result data through a report tool, if the inspection result passes, storing the inspection success result, and returning the result to the transaction center; if the check result is not passed, the check failure result is stored, a message notification interface is called to send early warning information, the early warning information adopts a short message and mail form, and the final return result is sent to the transaction center.
Preferably, the rule information is stored in a database, and provides specific rule information including, but not limited to, execution sequence and method information; the database also comprises a pass record table for storing pass records and providing basis for rule logic check, and a fail record table for storing fail data of the check logic.
Preferably, the rule factory includes an offline rule base, and the rule factory receives an external instruction, performs dynamic loading configuration of the rule, enables and disables the rule, and executes and calls the offline rule base.
Preferably, the implementation architecture of the supply chain finance-based business anomaly monitoring method comprises an interface layer, an application layer, a field layer and a base layer, wherein the base layer comprises a message notification, a mysql cluster and a redis cluster, the interface layer comprises a user interface and an API interface, the user interface is connected with the API interface, the application layer comprises a data security authentication module, a rule factory module, a monitoring alarm module and a data report module, the field layer comprises an aggregation service and a field service, and the aggregation service integrates an entity and a value object.
Preferably, the implementation method of the supply chain finance-based business anomaly monitoring method is as follows: the user clicks a user interface, the gateway sends registration service to the nacos service center registration cluster for registration, a service list is obtained and returned to the gateway, the transaction center sends a service registration and discovery command to the nacos service center registration cluster for registration, data is sent to one of the nodes of the safety monitoring center, data real-time monitoring is carried out through a heartbeat mechanism, the data enters a rule factory module for verification, a verification result is returned to the transaction center, fund transaction monitoring is carried out according to the verification result, abnormal transactions refuse to enter a fund pool, an abnormal transaction report is generated and handed in for manual intervention.
Preferably, the transaction center is provided with a degraded switch, an automatic refreshing function is configured in the nacos service center to call the switch of the security monitoring center, and when the security monitoring center is down or the network is abnormal, the service of the security monitoring center is disconnected.
The invention realizes the safety monitoring of business transaction, monitors and records the abnormal scenes of the business of a supply chain financial platform and a supply chain financial system, carries out abnormal verification on the business and the transaction problems which can not be found in time in the operation process of the supply chain financial system, realizes the functions of risk control and business audit in a billing mode, calls a switch of a safety monitoring center in real time, carries out rule check, carries out notification and alarm aiming at the abnormal business scenes, the fund transaction and other events, reminds a user to process in time, can carry out offline safety monitoring service without restarting when the safety monitoring system is down or network abnormality and other conditions occur, can realize low invasion and high expansion of the system and improves the availability and stability of the system when the supply chain financial platform or the system of the safety monitoring center is configured.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the specification and its practical application, to thereby enable others skilled in the art to best understand the specification and its practical application. The specification is limited only by the claims and their full scope and equivalents.

Claims (10)

1. A business abnormity monitoring method based on supply chain finance is characterized by comprising the following steps:
(1) configuring a monitoring center in a supply chain financial system, wherein the monitoring center comprises a gateway, a transaction center, a safety monitoring center and a message center, and the transaction center receives a transaction request after the transaction request is sent by a service application of a supply chain financial platform; or, after the fund transaction application is initiated by the fund service of the financial platform of the supply chain, the transaction center receives the transaction request;
(2) after a business application of a supply chain financial platform sends a transaction request, a transaction center receives the transaction request, judges whether an accounting switch of a safety monitoring center is in an open state or not, if the accounting switch is in the open state, asynchronously initiates an accounting application, and sets a transaction business state as in transaction;
(3) the safety monitoring center monitors instruction messages sent by the transaction center, calls a safety monitoring center interface and checks a service action according to a check rule;
the checking method of the check rule comprises the following steps: initiating service application of a supply chain financial platform, asynchronously initiating a verification application, initializing a verification task by the security monitoring center, inquiring a rule detail list as an enabled rule, loading accounting subjects and rules, judging the rules, and feeding back a verification result according to a judgment result;
(4) the monitoring center executes data authentication of an inspection result after executing check rule inspection, records data after passing the authentication, executes a task of regularly inquiring an authentication state, the transaction center requests the security monitoring center to inquire the authentication result, if the authentication state is pass, a pass instruction message is sent, the next service operation is executed, if the authentication state is fail, the service is terminated;
(5) according to the returned result of the supply chain financial system service party, the checking rule check result is passed, the transaction state and the timing task state are updated, and the bookkeeping is successful; checking the rule to be failed, updating the states of the transaction and the timed task, recording the reason of authentication failure, and storing the transaction record;
(6) and the safety monitoring center carries out alarm notification on the business transaction and the fund transaction which do not pass the check result of the check rule.
2. The method for monitoring business abnormality based on supply chain finance is characterized in that the safety monitoring center comprises a data safety authentication module, a monitoring alarm module, a rule factory module and a data report module, the message center is connected with the monitoring alarm module and sends message notifications to users and all modules, the gateway is connected with a user interface, the internal service of the transaction center calls nodes of the safety monitoring center through a third-party plug-in, a heartbeat mechanism is adopted to transmit real-time data and check the rule factory module, after the check is completed, abnormal data reports are carried out, and real-time messages are sent through the message center.
3. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein the security monitoring center further comprises an accounting module, a billing module, a daily cutting module, a subject module and a rule engine module, wherein when the billing operation is performed, the rule engine module performs rule check, after the rule check result is fed back, the subject module configures the subject, the accounting module performs real-time accounting, and the billing module performs single-stroke or batch billing and pushes the billing result; the daily cutting module executes a set daily cutting timing task, the accounting module receives instructions to perform subject accounting, accounting main body accounting and external system accounting, and then the accounting module performs accounting and pushes accounting results.
4. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein a data security authentication module of the security monitoring center performs real-time authentication and analysis processing on transaction data, verifies correctness of the data in real time, the rule factory performs dynamic loading of rules, performs dynamic configuration of the rules, receives inquiry of instruction management rules, disables and executes the management rules, the data reporting module provides report information for a system background, provides a data inquiry interface for the data security authentication module, performs anomaly data display, and the monitoring alarm module provides short message alarm for the data security authentication.
5. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein the transaction center data is sent to a security monitoring center for data security authentication, an inspection interface is used for performing parameter basic inspection, the parameter basic inspection is not passed, and the result is directly returned to the transaction center; after the parameter basic check is passed, calling rule check, after the rule check is passed, obtaining a rule list according to the service type in a check rule base, reading rule information, configuring check according to the rule, executing check logic, obtaining a check result, and calling persistence; judging the inspection result, forming a data report by the inspection result data through a report tool, if the inspection result passes, storing the inspection success result, and returning the result to the transaction center; if the check result is not passed, the check failure result is stored, a message notification interface is called to send early warning information, the early warning information adopts a short message and mail form, and the final return result is sent to the transaction center.
6. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein the rule information is stored in a database, and provides specific rule information including but not limited to execution sequence and method information; the database also comprises a pass record table for storing pass records and providing basis for rule logic check, and a fail record table for storing fail data of the check logic.
7. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein the rule factory comprises an offline rule base, receives external instructions, performs dynamic loading configuration of the rules, enables and disables the rules, and executes and calls the offline rule base.
8. The supply chain finance-based business anomaly monitoring method according to claim 1, wherein the implementation architecture of the supply chain finance-based business anomaly monitoring method comprises an interface layer, an application layer, a domain layer and a base layer, the base layer comprises a message notification and mysql cluster and a redis cluster, the interface layer comprises a user interface and an API interface, the user interface and the API interface are connected, the application layer comprises a data security authentication module, a rule factory module, a monitoring alarm module and a data reporting module, the domain layer comprises an aggregation service and a domain service, and the aggregation service integrates an entity and a value object.
9. The method for monitoring business abnormity based on supply chain finance, as claimed in claim 1, is implemented by the following steps: the user clicks a user interface, the gateway sends registration service to the nacos service center registration cluster for registration, a service list is obtained and returned to the gateway, the transaction center sends a service registration and discovery command to the nacos service center registration cluster for registration, data is sent to one of the nodes of the safety monitoring center, data real-time monitoring is carried out through a heartbeat mechanism, the data enters a rule factory module for verification, a verification result is returned to the transaction center, fund transaction monitoring is carried out according to the verification result, abnormal transactions refuse to enter a fund pool, an abnormal transaction report is generated and handed in for manual intervention.
10. The method for monitoring business abnormality based on supply chain finance is characterized in that a degraded switch is configured in the transaction center, an automatic refreshing function is configured in the nacos service center to realize the calling of the switch of the safety monitoring center, and the service of the safety monitoring center is disconnected when the safety monitoring center is down or the network is abnormal and the like.
CN202110269120.1A 2021-03-12 2021-03-12 Business abnormity monitoring method based on supply chain finance Pending CN113177845A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113312538A (en) * 2021-07-30 2021-08-27 深圳市工易付电子科技有限公司 Transaction query method, device, equipment, readable storage medium and program product
CN115760125A (en) * 2023-01-09 2023-03-07 中企云链(北京)金融信息服务有限公司 Production and fusion data risk control method and system based on block chain and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113312538A (en) * 2021-07-30 2021-08-27 深圳市工易付电子科技有限公司 Transaction query method, device, equipment, readable storage medium and program product
CN113312538B (en) * 2021-07-30 2022-02-25 深圳市工易付电子科技有限公司 Transaction query method, device, equipment and readable storage medium
CN115760125A (en) * 2023-01-09 2023-03-07 中企云链(北京)金融信息服务有限公司 Production and fusion data risk control method and system based on block chain and storage medium

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