Digital intelligent supervision early warning management method and system, and storage medium

Abstract

The invention relates to a digital intelligent supervision early warning management system and method and a computer storage medium, and the system comprises a risk knowledge base which is used for obtaining and storing operation risk data information in a business operation process; the risk index library is used for acquiring the operation risk data information and modeling based on the operation risk data information to form risk index data information; and the risk monitoring and early warning platform is used for acquiring risk index data information and comparing the acquired risk index data information with a corresponding risk threshold range to obtain risk early warning information, thereby realizing real-time monitoring of key supervision contents of key links of the supply chain, perfecting the index monitoring capability of abnormal risk points, and improving the risk early warning capability of the supply chain. The method focuses on improving key nodes, highlights the problem supervision capability, and focuses on risk management from the perspective of compliance to carry out operation management and control. And compliance dynamic diagnosis is carried out on supply chain participants, the overall compliance level of supply is accurately improved, and intelligent management of supervision is realized.

Description

Technical Field

[0001] The present invention relates to the field of information management, and in particular to a digital supervision and early warning management method, system and storage medium. Background Art

[0002] At this stage, after the construction of the smart supply chain, based on the compliance operation guarantee of the entire supply chain, an operation supervision section is built to achieve real-time monitoring of key supervision contents of key links in the supply chain, improve the monitoring capabilities of abnormal risk point indicators, focus on improving the supervision capabilities of key nodes and prominent issues, and carry out operation control from a compliance perspective and focus on risk management.

[0003] The digital early warning and monitoring system has taken shape, but the existing digital early warning and monitoring system lacks risk monitoring and early warning, such as the lack of active risk identification, regular business compliance, and business performance monitoring and early warning. Summary of the invention

[0004] Based on this, it is necessary to provide a digital supervision and early warning management method, system and storage medium to address the problem that the existing digital early warning monitoring system lacks the function of actively identifying risk monitoring and early warning.

[0005] A digital intelligent supervision and early warning management system, comprising:

[0006] Risk knowledge base, used to obtain and store operational risk data information in business operation processes;

[0007] A risk indicator library, used to obtain the operation risk data information, and to perform modeling based on the operation risk data information to form risk indicator data information;

[0008] The risk monitoring and early warning platform is used to obtain risk indicator data information and compare the obtained risk indicator data information with the corresponding risk threshold range to obtain risk early warning information.

[0009] In one of the preferred embodiments, the risk database includes a risk list data module and a risk case data module. The risk list data module is used to store a historical problem list regarding the target event, as well as a risk level and risk policy list of the corresponding risks; the risk case data module is used to store historical risk case events.

[0010] In one preferred embodiment, the risk list data module includes:

[0011] A risk list management unit, used to obtain risk data applications and obtain data storage authority information for storing the applied risk data information in a risk knowledge base based on the risk data application process;

[0012] and a risk list detail unit, which is used to store risk data information corresponding to the acquired authority based on the storage authority information.

[0013] In one preferred embodiment, the risk case data module includes:

[0014] The risk case management unit is used to obtain risk case applications and obtain case storage permission information of the risk case data applied for in the risk case library based on the risk case application process;

[0015] The risk case detail unit is used to store permission information based on the case and store risk case data corresponding to the application for which permission has been obtained.

[0016] In one preferred embodiment, the risk indicator library includes:

[0017] An indicator acquisition module, used to acquire corresponding operation risk data information from the risk knowledge base and the risk indicator library;

[0018] and an indicator configuration module, which obtains data configuration information, and based on the data configuration information, collects statistics of risk indicator information corresponding to the operation risk data information from corresponding dimensions.

[0019] In one preferred embodiment, the risk monitoring and early warning platform includes:

[0020] The display module is used to display the risk warning information through an interactive interface.

[0021] In one preferred embodiment, the display module can also display the operation risk data information and risk indicator data information.

[0022] The above-mentioned implementation mode of the present invention builds an operation supervision section based on the compliance operation guarantee of the entire supply chain, realizes real-time monitoring of key supervision contents of key links of the supply chain, improves the monitoring capability of abnormal risk point indicators, focuses on improving the supervision capability of key nodes and prominent problems, and carries out operation control from the perspective of compliance and focuses on risk management. With the continuous deepening of the digital application of risk prevention and control systems, for the early warning problems discovered by monitoring indicators, relying on the ESC risk monitoring and early warning platform, online closed-loop rectification and supervision are carried out for the responsible parties of supply chain problems, dynamic compliance diagnosis is carried out for the participants of the supply chain, and the weak links in compliance management are supplemented for different participants in a differentiated manner, so as to accurately improve the overall compliance level of supply and realize the intelligent management of supervision.

[0023] A digital intelligent supervision and early warning management method, comprising:

[0024] Acquire and store operational risk data information in business operation processes;

[0025] Acquiring the operation risk data information, and performing modeling based on the operation risk data information to form risk indicator data information;

[0026] Obtain risk indicator data information, and compare the acquired risk indicator data information with the corresponding risk threshold range to obtain risk warning information.

[0027] In one preferred embodiment, the operational risk data information includes a historical problem list of target events and historical risk case events, and the historical problem list and historical risk case events are stored in a risk database.

[0028] The above-mentioned implementation mode of the present invention builds an operation supervision section based on the compliance operation guarantee of the entire supply chain, realizes real-time monitoring of key supervision contents of key links of the supply chain, improves the monitoring capability of abnormal risk point indicators, focuses on improving the supervision capability of key nodes and outstanding problems, and carries out operation control from the perspective of compliance and focuses on risk management. With the continuous deepening of the digital application of risk prevention and control systems, for the early warning problems discovered by monitoring indicators, relying on the ESC risk monitoring and early warning platform, online closed-loop rectification and supervision are carried out for the responsible parties of supply chain problems, dynamic compliance diagnosis is carried out for the participants of the supply chain, and the weak links in compliance management are supplemented for different participants in a differentiated manner, so as to accurately improve the overall compliance level of supply and realize the intelligent management of supervision.

[0029] A computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the execution process of the above-mentioned digital supervision and early warning management system is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A schematic diagram of a module of a digital supervision and early warning management system disclosed in the first preferred embodiment of the present invention;

[0031] Figure 2 A flowchart of a digital supervision and early warning management method disclosed in the second preferred embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0033] It should be noted that when an element is referred to as being "disposed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0035] like Figure 1 As shown, the first preferred embodiment of the present invention discloses a digital supervision and early warning management system 100, which includes a risk knowledge base 110, a risk indicator library 120, and a risk monitoring and early warning platform 130.

[0036] The risk knowledge base 110 is used to obtain and store operational risk data information in the business operation process;

[0037] Specifically, the risk database 110 includes a risk list data module 111 and a risk case data module 112. The risk list data module 111 is used to store a list of historical issues regarding target events, as well as a list of risk levels and risk policies corresponding to the risks; the risk case data module 112 is used to store historical risk case events.

[0038] The above-mentioned risk database 110 integrates the digital operation risks of each link of the supply chain, conducts online digital management based on the platform, realizes online co-construction and sharing of supervisors across the entire network, and achieves "one account for all network risks". The risk list data module 111 is a comprehensive review of the digital operation risks of the supply chain, and establishes a full-cycle digital risk file for each risk point from problem list, risk classification to risk strategy. The risk case data module 112 is a comprehensive tracing of historical risk issues, including internal and external inspections and audits, problems found in supervision and inspection, and monitoring and early warning of high-frequency issues.

[0039] In more detail, the risk list data module 111 includes a risk list management unit 1111 and a risk list detail unit 1112. The above risk list is also called risk points, which are mainly points where operational risks exist in the entire process of supply chain business.

[0040] The risk list data module 111 cooperates with various professionals to comprehensively sort out supply chain business risks. The risk list management unit 1111 mainly focuses on online management of risk points, and the risk list detail unit 1112 mainly focuses on query, display, and reference applications for a wider range of users.

[0041] The risk list management unit 1111 is used to obtain risk data application, and obtain data storage authority information for storing the applied risk data information in the risk knowledge base based on the risk data application process;

[0042] From the perspective of risk point management, the above-mentioned risk list management unit 1111, the municipal (district and county) companies, various professional departments and directly affiliated units of the provincial company serve as the main discoverers and providers of the above-mentioned risk list management unit 1111, and the provincial company's operation department mainly serves as the reviewer of the risk list and manages the risk list.

[0043] The risk list detail unit 1112 is used to store the corresponding risk data information of the obtained authority based on the storage authority information. The operations of the risk list detail unit 1112 include adding, editing, deleting, reviewing, approving, taking effect / expiring, associating / disassociating the headquarters list, associating / disassociating risk indicators, associating / disassociating risk cases, etc.

[0044] The risk case data module 112 is used to store historical risk case events. Risk case events are historical traces of business risks, including problems found in the company's internal and external inspections and audits and supervision and inspections in recent years. Each risk case event has a corresponding risk point. The historical problems corresponding to the risk points of each professional operation are sorted out to form risk cases, and a supply chain risk case library is built on the platform.

[0045] The risk case data module 112 includes a risk case management unit 1121 and a risk case detail unit 1122 .

[0046] The risk case management unit 1121 is used to obtain risk case applications and obtain case storage authority information of risk case data stored in the risk case library based on the risk case application process;

[0047] From a management perspective, the various professionals in municipal and provincial companies are the main discoverers and providers of risk cases, and the operations professionals are mainly reviewers of risk lists and manage risk cases.

[0048] The risk case detail unit 1122 is used to store the permission information based on the case, and store the risk case data of the corresponding application for which the permission has been obtained.

[0049] The risk indicator library 120 is used to obtain the operation risk data information and perform modeling based on the operation risk data information to form risk indicator data information;

[0050] Specifically, the risk indicator library 120 includes an indicator acquisition module 121 and an indicator configuration module 122. The indicator acquisition module 121 is used to acquire corresponding operation risk data information from the risk knowledge base and the risk indicator library;

[0051] In this implementation, the risk indicator management function is implemented on the basis of ESC auxiliary tools-configuration management-early warning indicator management.

[0052] The indicator configuration module 122 is used to obtain data configuration information, and based on the data configuration information, collect statistics of risk indicator information corresponding to the operation risk data information from corresponding dimensions.

[0053] The indicator configuration module 122 can selectively perform the configuration operation of the warning notification in the newly added warning indicator page.

[0054] The risk monitoring and early warning platform 130 is used to obtain risk indicator data information, and compare the obtained risk indicator data information with the corresponding risk threshold range to obtain risk early warning information.

[0055] Specifically, the risk monitoring and early warning platform 130 includes a display module 131, which is used to display the risk early warning information through an interactive interface. The display module 131 can also display the operation risk data information and risk indicator data information.

[0056] The risk monitoring and early warning platform 130 is a closed-loop control platform that includes risk warnings and risk events. Based on the platform, online supervision is carried out on the "activated" indicators in the risk indicator library. Through the two-level ESC platform channel interface, professional departments and local companies are promptly supervised to carry out closed-loop rectification of problems.

[0057] The above-mentioned implementation mode of the present invention builds an operation supervision section based on the compliance operation guarantee of the entire supply chain, realizes real-time monitoring of key supervision contents of key links of the supply chain, improves the monitoring capability of abnormal risk point indicators, focuses on improving the supervision capability of key nodes and outstanding problems, and carries out operation control from the perspective of compliance and focuses on risk management. With the continuous deepening of the digital application of risk prevention and control systems, for the early warning problems discovered by monitoring indicators, relying on the ESC risk monitoring and early warning platform, online closed-loop rectification and supervision are carried out for the responsible parties of supply chain problems, dynamic compliance diagnosis is carried out for the participants of the supply chain, and the weak links in compliance management are supplemented for different participants in a differentiated manner, so as to accurately improve the overall compliance level of supply and realize the intelligent management of supervision.

[0058] like Figure 2As shown, the second preferred embodiment of the present invention is a digital intelligent supervision and early warning management method, comprising:

[0059] S10: Acquire and store operational risk data information in the business operation process;

[0060] The operational risk data information includes a historical problem list of target events and historical risk case events, and the historical problem list and historical risk case events are stored in a risk database.

[0061] Specifically, the risk database includes a risk list data module and a risk case data module. The risk list data module is used to store a historical problem list about the target event, as well as a risk level and risk policy list of the corresponding risks; the risk case data module is used to store historical risk case events.

[0062] The above-mentioned risk database integrates the digital operation risks of each link in the supply chain, conducts online digital management based on the platform, and realizes online co-construction and sharing by supervisors across the entire network, so as to achieve "one account for all network risks". The risk list data module is a comprehensive review of the digital operation risks of the supply chain, and establishes a full-cycle digital risk file for each risk point, from problem list, risk classification to risk strategy. The risk case data module is a comprehensive tracing of historical risk issues, including internal and external inspections and audits, problems found in supervision and inspection, and monitoring and early warning of high-frequency issues.

[0063] In more detail, the risk list data module includes a risk list management unit and a risk list detail unit. The above risk list is also called risk points, which are mainly points where operational risks exist in the entire process of supply chain business.

[0064] The risk list data module collaborates with various professionals to comprehensively sort out supply chain business risks. The risk list management unit mainly focuses on online management of risk points, and the risk list detail unit mainly focuses on query, display, and reference applications for a wider range of users.

[0065] The risk list management unit is used to obtain risk data applications and obtain data storage authority information for storing the applied risk data information in the risk knowledge base based on the risk data application process;

[0066] From the perspective of risk point management, the above-mentioned risk list management units, municipal (district and county) companies, provincial company's various professional and directly affiliated units serve as the main discoverers and providers of the above-mentioned risk list management units, and the provincial company's operation professionals mainly serve as reviewers of the risk list and manage the risk list.

[0067] The risk list detail unit is used to store the corresponding risk data information of the obtained authority based on the storage authority information. The operations of the risk list detail unit include adding, editing, deleting, reviewing, approving, taking effect / expiring, associating / disassociating the headquarters list, associating / disassociating risk indicators, associating / disassociating risk cases, etc.

[0068] The risk case data module is used to store historical risk case events. Risk case events are historical traces of business risks, including problems found in the company's internal and external inspections, audits, and supervision and inspections in recent years. Each risk case event has a corresponding risk point. The historical problems corresponding to the risk points of each professional operation are sorted out to form risk cases, and a supply chain risk case library is built on the platform.

[0069] The risk case data module includes a risk case management unit and a risk case detail unit.

[0070] The risk case management unit is used to obtain risk case applications and obtain case storage permission information of the risk case data applied for in the risk case library based on the risk case application process;

[0071] From a management perspective, the various professionals in municipal and provincial companies are the main discoverers and providers of risk cases, and the operations professionals are mainly reviewers of risk lists and manage risk cases.

[0072] The risk case detail unit is used to store permission information based on the case, and store risk case data corresponding to the application for which permission has been obtained.

[0073] S20: Acquire the operation risk data information, and perform modeling based on the operation risk data information to form risk indicator data information;

[0074] Specifically, the risk indicator data information is stored in the risk indicator library 120, which includes an indicator acquisition module and an indicator configuration module. The indicator acquisition module is used to acquire corresponding operation risk data information from the risk knowledge base and the risk indicator library;

[0075] In this implementation, the risk indicator management function is implemented on the basis of ESC auxiliary tools-configuration management-early warning indicator management.

[0076] The indicator configuration module is used to obtain data configuration information, and based on the data configuration information, to collect statistics of risk indicator information corresponding to the operation risk data information from corresponding dimensions.

[0077] In the indicator configuration module, in the new warning indicator page, you can selectively configure the warning notification.

[0078] S30: Acquire risk indicator data information, and compare the acquired risk indicator data information with the corresponding risk threshold range to obtain risk warning information.

[0079] The risk indicator data information is displayed through the risk monitoring and early warning platform. The risk monitoring and early warning platform 130 is used to obtain risk indicator data information, and compare the obtained risk indicator data information with the corresponding risk threshold range to obtain risk early warning information.

[0080] Specifically, the risk monitoring and early warning platform includes a display module, which is used to display the risk early warning information through an interactive interface. The display module can also display the operation risk data information and risk indicator data information.

[0081] The above-mentioned implementation mode of the present invention builds an operation supervision section based on the compliance operation guarantee of the entire supply chain, realizes real-time monitoring of key supervision contents of key links of the supply chain, improves the monitoring capability of abnormal risk point indicators, focuses on improving the supervision capability of key nodes and outstanding problems, and carries out operation control from the perspective of compliance and focuses on risk management. With the continuous deepening of the digital application of risk prevention and control systems, for the early warning problems discovered by monitoring indicators, relying on the ESC risk monitoring and early warning platform, online closed-loop rectification and supervision are carried out for the responsible parties of supply chain problems, dynamic compliance diagnosis is carried out for the participants of the supply chain, and the weak links in compliance management are supplemented for different participants in a differentiated manner, so as to accurately improve the overall compliance level of supply and realize the intelligent management of supervision.

[0082] A computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the execution process of the above-mentioned digital supervision and early warning management system is realized.

[0083] The above-mentioned implementation mode of the present invention builds an operation supervision section based on the compliance operation guarantee of the entire supply chain, realizes real-time monitoring of key supervision contents of key links of the supply chain, improves the monitoring capability of abnormal risk point indicators, focuses on improving the supervision capability of key nodes and outstanding problems, and carries out operation control from the perspective of compliance and focuses on risk management. With the continuous deepening of the digital application of risk prevention and control systems, for the early warning problems discovered by monitoring indicators, relying on the ESC risk monitoring and early warning platform, online closed-loop rectification and supervision are carried out for the responsible parties of supply chain problems, dynamic compliance diagnosis is carried out for the participants of the supply chain, and the weak links in compliance management are supplemented for different participants in a differentiated manner, so as to accurately improve the overall compliance level of supply and realize the intelligent management of supervision.

[0084] It should be noted that the computer storage medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer storage medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0085] The computer storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0086] The computer storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0087] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0088] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A digital supervision and early warning management system, characterized in that: include: Risk knowledge base, used to obtain and store operational risk data information in business operation processes; A risk indicator library, used to obtain the operation risk data information, and to perform modeling based on the operation risk data information to form risk indicator data information; The risk monitoring and early warning platform is used to obtain risk indicator data information and compare the obtained risk indicator data information with the corresponding risk threshold range to obtain risk warning information.

2. The digital intelligent supervision and early warning management system according to claim 1 is characterized in that: The risk database includes a risk list data module and a risk case data module, wherein the risk list data module is used to store a list of historical issues related to target events, and a list of risk levels and risk policies corresponding to the risks; The risk case data module is used to store historical risk case events.

3. The digital intelligent supervision and early warning management system according to claim 2 is characterized in that: The risk list data module includes: A risk list management unit, used to obtain risk data applications and obtain data storage authority information for storing the applied risk data information in a risk knowledge base based on the risk data application process; and a risk list detail unit, which is used to store risk data information corresponding to the acquired authority based on the storage authority information.

4. The digital intelligent supervision and early warning management system according to claim 2 is characterized in that: The risk case data module includes: The risk case management unit is used to obtain risk case applications and obtain case storage permission information of the risk case data applied for in the risk case library based on the risk case application process; The risk case detail unit is used to store permission information based on the case and store risk case data corresponding to the application for which permission has been obtained.

5. The digital intelligent supervision and early warning management system according to claim 1 is characterized in that: The risk indicator library includes: An indicator acquisition module, used to acquire corresponding operation risk data information from the risk knowledge base and the risk indicator library; and an indicator configuration module, which obtains data configuration information, and based on the data configuration information, collects statistics of risk indicator information corresponding to the operation risk data information from corresponding dimensions.

6. The digital intelligent supervision and early warning management system according to claim 1 is characterized in that: The risk monitoring and early warning platform includes: The display module is used to display the risk warning information through an interactive interface.

7. The digital intelligent supervision and early warning management system according to claim 6 is characterized in that: The display module can also display the operation risk data information and risk indicator data information.

8. A digital supervision and early warning management method, characterized in that: include: Acquire and store operational risk data information in business operation processes; Acquiring the operation risk data information, and performing modeling based on the operation risk data information to form risk indicator data information; Obtain risk indicator data information, and compare the acquired risk indicator data information with the corresponding risk threshold range to obtain risk warning information.

9. A digital intelligent supervision and early warning management method according to claim 8, characterized in that: The operational risk data information includes a historical problem list of a target event and historical risk case events, and the historical problem list and historical risk case events are stored in a risk database.

10. A computer storage medium, characterized in that a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, it implements the execution process of a digital supervision and early warning management system described in any one of claims 1 to 7.

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