Embedded supervision method, system and equipment based on enterprise digital management

Abstract

The invention relates to the technical field of digital management, and provides an embedded supervision method, system and equipment based on enterprise digital management, and the method comprises the steps: carrying out the digital conversion of supervision requirements, and constructing a risk library containing different risk level algorithms and calculation models; the supervision requirements in the risk library are mapped to an enterprise digital management system, and standardized supervision core data are generated; enabling the supervision requirements to correspond to a management process, generating first-level screening data according to the standardized supervision core data, and carrying out the risk operation of the first-level screening data, and generating second-level screening data; and performing multi-dimensional supervision on the management process by adopting standardized supervision core data, primary screening data and secondary screening data. According to the method, the accuracy and comprehensiveness of risk identification can be improved, the scientificity and timeliness of risk assessment are enhanced, resource configuration is optimized, the management efficiency is improved, information islands are broken, data sharing and collaboration are promoted, supervision compliance is enhanced, and violation risks are reduced.

Description

Technical Field

[0001] The present application relates to the field of digital management technology, and in particular to an embedded supervision method, system and device based on enterprise digital management. Background Art

[0002] With the rapid development of information technology, digital management of enterprises has become a key means to improve enterprise operational efficiency and enhance competitiveness. At present, the requirements for digital management of enterprises are gradually increasing, covering all aspects from daily operations to strategic decision-making. However, on the regulatory requirements side, there are still many shortcomings in digitalization, and the supervision of digitalization capabilities needs to be strengthened urgently.

[0003] Existing digital supervision systems are mostly based on the processing power of numbers themselves, which exposes many problems in practical applications. On the one hand, the resource utilization rate is high, and a large amount of computing resources are used for data processing and the execution of supervision logic, resulting in low system efficiency and difficulty in meeting the growing business needs of enterprises. On the other hand, the response speed is not timely, and it is impossible to effectively intervene in the first time when the problem occurs. Often, it can only be managed after the problem occurs, missing the best time to deal with it, causing unnecessary losses to the enterprise.

[0004] In addition, there are information islands between subjects with different supervision requirements, and data between subjects is difficult to share and circulate, resulting in untimely data synchronization. This makes it impossible for supervision to be based on comprehensive and accurate data, affecting the accuracy and effectiveness of supervision. At the same time, the supervision process lacks transparency, and the various links and decision-making basis in the supervision process are not clear enough, which is not conducive to internal communication and collaboration within the enterprise, nor is it conducive to supervision and guidance from external regulatory agencies.

[0005] To sum up, the existing digital supervision system has many defects in resource occupation, response speed, information sharing and process transparency, and cannot meet the high requirements of enterprises for digital management. A new technical solution is urgently needed to solve these problems in order to achieve efficient, timely and transparent digital supervision, provide strong support for enterprise digital management, and become a technical problem that needs to be solved urgently. Summary of the invention

[0006] In view of this, in order to overcome the shortcomings of the prior art, the present application aims to provide an embedded supervision method, system and device based on enterprise digital management.

[0007] According to a first aspect of the present application, there is provided an embedded supervision method based on enterprise digital management, the method comprising: Digitally transform regulatory requirements and build a risk library containing algorithms and calculation models for different risk levels; Map the regulatory requirements in the risk library to the enterprise digital management system to generate standardized regulatory core data; Match regulatory requirements to management processes, generate primary screening data based on standardized regulatory core data, perform risk calculations on primary screening data, and generate secondary screening data; Standardized regulatory core data, primary screening data and secondary screening data are used to conduct multi-dimensional supervision of management processes.

[0008] Optionally, in the embedded supervision method based on enterprise digital management of the present application, the risk library can capture information from the database and classify and display the captured information according to specified dimensions and types.

[0009] Optionally, in the embedded supervision method based on enterprise digital management of the present application, the supervision requirements in the risk library are mapped to the enterprise digital management system, including: mapping the supervision requirements to the enterprise digital management system through a self-organizing mapping algorithm.

[0010] Optionally, the present application generates standardized supervision core data in an embedded supervision method based on enterprise digital management, including: generating supervision core data according to the management process in the enterprise digital management system, and converting the generated supervision core data into standardized supervision core data through standardized processing.

[0011] Optionally, in the embedded supervision method based on enterprise digital management, the present application maps supervision requirements to management processes, including: establishing a correspondence between supervision requirements and management processes in the enterprise digital management system, and embedding supervision requirements into the management processes of the enterprise digital management system based on the correspondence between supervision requirements and management processes in the enterprise digital management system.

[0012] Optionally, in the embedded supervision method based on enterprise digital management of the present application, first-level screening data is generated according to standardized supervision core data, including: performing risk calculation on the standardized supervision core data through the corresponding risk level algorithm and calculation model in the risk library, screening the calculation results, and generating first-level screening results.

[0013] Optionally, in the embedded supervision method based on enterprise digital management of the present application, risk calculation is performed on the first-level screening data to generate second-level screening data, including: risk calculation is performed on the first-level screening data through the corresponding risk level algorithm and calculation model in the risk library to generate second-level screening data.

[0014] Optionally, in the embedded supervision method based on enterprise digital management of the present application, standardized supervision core data, first-level screening data and second-level screening data are used to conduct multi-dimensional supervision of management processes, including: according to the risk type and risk level, standardized supervision core data, first-level screening data and second-level screening data are used to conduct multi-dimensional identification and evaluation of corresponding risks in the management process.

[0015] According to a second aspect of the present application, there is provided an embedded supervision system based on enterprise digital management, the embedded supervision system comprising an embedded supervision server, the embedded supervision server comprising: The risk library construction module is used to digitally convert regulatory requirements and build a risk library containing algorithms and calculation models for different risk levels; Standardized regulatory core data generation module, used to map regulatory requirements in the risk library to the enterprise digital management system and generate standardized regulatory core data; The multi-level screening data generation module is used to map regulatory requirements to management processes, generate primary screening data based on standardized regulatory core data, perform risk calculations on primary screening data, and generate secondary screening data; The multi-angle supervision module is used to conduct multi-angle supervision of management processes using standardized core supervision data, primary screening data and secondary screening data.

[0016] According to a third aspect of the present application, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect of the present application when executing the program.

[0017] The embedded supervision method, system and device of this application based on enterprise digital management have the following significant beneficial technical effects: 1. Improving the accuracy and comprehensiveness of risk identification Accurately locate risks: Refine regulatory requirements into quantifiable digital indicators, so that risk identification no longer relies on vague subjective judgments, but is based on clear and specific data standards; Comprehensive coverage of risks: The constructed risk library covers algorithms and calculation models of different risk levels, which can comprehensively identify various risks.

[0018] II. Enhance the scientificity and timeliness of risk assessment Scientifically quantify risks: The algorithms and computational models in the risk library can quantitatively assess risks and convert abstract risks into specific values ​​or levels for easy understanding and comparison; Real-time dynamic assessment: Combine standardized regulatory core data, primary screening data and secondary screening data to conduct multi-dimensional, real-time dynamic assessment of risks in the management process.

[0019] 3. Optimize resource allocation and improve management efficiency Reduce resource utilization: Compared with the existing digital monitoring system, the present invention avoids the ineffective processing and calculation of a large amount of irrelevant data through accurate risk identification and scientific risk assessment, thus significantly reducing resource utilization; Improve management decision-making efficiency: Multi-dimensional risk identification and assessment results provide comprehensive and accurate information support for management decisions, enabling managers to quickly and accurately grasp the risk status and make reasonable decisions in a timely manner.

[0020] 4. Break down information silos and promote data sharing and collaboration Realize data integration and sharing: In the process of risk identification and assessment, the present invention involves data from different sources, including standardized regulatory core data, primary screening data and secondary screening data. This encourages enterprises to break information silos, integrate data resources from various departments and links, and realize data sharing and circulation; Improve regulatory transparency: The risk identification and assessment process based on multi-dimensional data is clear and transparent, making it easier for internal departments of the enterprise and external regulatory agencies to understand the basis and methods of risk supervision.

[0021] 5. Strengthen regulatory compliance and reduce the risk of non-compliance Strictly follow regulatory requirements: The present invention starts from regulatory requirements, breaks them down into specific digital requirements, and runs through the entire process of risk identification and assessment, ensuring that the enterprise's risk management activities strictly follow the regulations of the regulatory agency; Early warning and risk prevention: Multi-dimensional, real-time dynamic risk assessment can provide early warning of potential risks, allowing companies to have enough time to take preventive measures to avoid the occurrence and expansion of risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 This is an example diagram of the architecture of an embedded supervision system based on enterprise digital management according to an embodiment of the present application; Figure 2 This is an example diagram of the architecture of an embedded supervision server of an embedded supervision system based on enterprise digital management according to an embodiment of the present application; Figure 3 This is another example diagram of the architecture of an embedded supervision system based on enterprise digital management according to an embodiment of the present application; Figure 4 A flowchart of the steps of an embedded supervision method based on enterprise digital management according to an embodiment of the present application; Figure 5 A schematic diagram of the structure of the device provided in this application. DETAILED DESCRIPTION

[0024] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0025] It should be noted that the following embodiments and features in the embodiments may be combined with each other in the absence of conflict; and, based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making any creative work are within the scope of protection of the present disclosure.

[0026] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0027] The technical principles of this application are as follows: Taking regulatory requirements as the starting point, minimizing investment as the basis, combining with the enterprise digital management system, based on the digital conversion of regulatory requirements, by breaking down regulatory requirements into digital requirements, forming a risk library containing algorithms and calculation models of different risk levels, and by mapping regulatory requirements to the digital management system to clarify the core regulatory data, the core regulatory data is standardized and converted, the regulatory requirements are mapped to the existing management process, and the digital platform is used for calculation and screening at idle time, and the first-level screening results, i.e., the preliminary risk interception results, are displayed. The second-level screening results are formed by re-calculating the first-level screening results (for example, multi-angle support for a certain type of problem), and supervision from different angles is achieved by comparing and screening the first-level screening results, the second-level screening results, and the original data at the same time.

[0028] Figure 1FIG. 1 is an example diagram of an architecture of an embedded supervision system based on enterprise digital management according to an embodiment of the present application, such as Figure 1 As shown, the system may include an embedded supervision server 101, a communication network 102 and / or one or more embedded supervision clients 103. Figure 1 The example shown is a plurality of embedded supervision clients 103 .

[0029] The embedded supervision server 101 can be any appropriate server for storing information, data, programs and / or any other suitable type of content. In some embodiments, the embedded supervision server 101 can perform appropriate functions. For example, in some embodiments, the embedded supervision server 101 can be used for embedded supervision based on enterprise digital management. As an optional example, in some embodiments, the embedded supervision server 101 can be used to: digitally convert regulatory requirements, build a risk library containing different risk level algorithms and calculation models; map the regulatory requirements in the risk library to the enterprise digital management system to generate standardized supervision core data; correspond regulatory requirements to management processes, generate primary screening data based on standardized supervision core data, perform risk calculations on primary screening data, and generate secondary screening data; use standardized supervision core data, primary screening data, and secondary screening data to perform multi-dimensional supervision of management processes.

[0030] Figure 2 FIG. 1 is an example diagram of the architecture of an embedded supervision server of an embedded supervision system based on enterprise digital management according to an embodiment of the present application, such as Figure 2 As shown, the embedded supervision server of this embodiment includes: The risk library construction module is used to digitally convert regulatory requirements and build a risk library containing algorithms and calculation models for different risk levels; Standardized regulatory core data generation module, used to map regulatory requirements in the risk library to the enterprise digital management system and generate standardized regulatory core data; The multi-level screening data generation module is used to map regulatory requirements to management processes, generate primary screening data based on standardized regulatory core data, perform risk calculations on primary screening data, and generate secondary screening data; The multi-angle supervision module is used to conduct multi-angle supervision of management processes using standardized core supervision data, primary screening data and secondary screening data.

[0031] As another example, in some embodiments, the embedded supervision server 101 may send the embedded supervision method based on enterprise digital management to the embedded supervision client 103 for user use based on the request of the embedded supervision client 103 .

[0032] Figure 3 FIG. 1 is another example of an architecture of an embedded supervision system based on enterprise digital management according to an embodiment of the present application, such as Figure 3 As shown, in this embodiment, the embedded supervision system based on enterprise digital management includes: Database module, used to collect and store various types of supervision data; The risk library module is used to capture information from the database and display it by category according to the specified dimensions, types and categories, so as to achieve real-time monitoring and early warning of risks; The function library module is used to process the captured data again and analyze and calculate the data according to actual needs, so as to realize the specified functions; The supervision chain module is used to anchor specific process requirements and improve the digital supervision system by jointly building approval flows with various departments and setting up parallel nodes.

[0033] This embodiment achieves synchronous adjustment, real-time update and multi-dimensional analysis of data through the collaborative work of the above modules, while ensuring the transparency and efficiency of the supervision process.

[0034] As an optional example, in some embodiments, the embedded supervision client 103 is used to provide a visual embedded supervision interface, which is used to receive a user's selection input operation for embedded supervision based on enterprise digital management, and to, in response to the selection input operation, obtain an embedded supervision interface corresponding to the option selected by the selection input operation from the embedded supervision server 101 and display the embedded supervision interface, wherein the embedded supervision interface at least displays information on embedded supervision based on enterprise digital management and operation options for the information on embedded supervision based on enterprise digital management.

[0035] In some embodiments, the communication network 102 can be any suitable combination of one or more wired and / or wireless networks. For example, the communication network 102 can include any one or more of the following: the Internet, an intranet, a wide area network (WAN), a local area network (LAN), a wireless network, a digital subscriber line (DSL) network, a frame relay network, an asynchronous transfer mode (ATM) network, a virtual private network (VPN), and / or any other suitable communication network. The embedded supervision client 103 can be connected to the communication network 102 via one or more communication links (e.g., communication link 104), and the communication network 102 can be linked to the embedded supervision server 101 via one or more communication links (e.g., communication link 105). The communication link can be any communication link suitable for transmitting data between the embedded supervision client 103 and the embedded supervision server 101, such as a network link, a dial-up link, a wireless link, a hard-wired link, any other suitable communication link, or any suitable combination of such links.

[0036] The embedded supervision client 103 may include any one or more clients that present an interface related to embedded supervision based on enterprise digital management in an appropriate form for use and operation by a user. In some embodiments, the embedded supervision client 103 may include any suitable type of device. For example, in some embodiments, the embedded supervision client 103 may include a mobile device, a tablet computer, a laptop computer, a desktop computer, and / or any other suitable type of client device.

[0037] Although the embedded administration server 101 is illustrated as one device, in some embodiments, any suitable number of devices may be used to perform the functions performed by the embedded administration server 101. For example, in some embodiments, multiple devices may be used to implement the functions performed by the embedded administration server 101. Alternatively, the functions of the embedded administration server 101 may be implemented using a cloud service.

[0038] Based on the above system, an embodiment of the present application provides an embedded supervision method based on enterprise digital management, which is illustrated by the following embodiments.

[0039] Figure 4 1 is a flowchart of the steps of an embedded supervision method based on enterprise digital management according to an embodiment of the present application. The embedded supervision method based on enterprise digital management of this embodiment can be executed on the embedded supervision server, such as Figure 4 As shown, the embedded supervision method based on enterprise digital management includes the following steps: Step S201: Digitally convert regulatory requirements and build a risk library containing different risk level algorithms and calculation models.

[0040] In this embodiment, the risk library can capture information from the database and classify and display the captured information according to the specified dimensions and types. The algorithms and calculation models of different risk levels in the risk library can quantify and evaluate the risks in actual application scenarios.

[0041] The method of this embodiment is further described below in a specific scenario.

[0042] Scenario 1: A financial enterprise is facing increasingly stringent regulatory requirements for its credit business and needs to accurately assess and effectively monitor the credit risks of its credit customers to ensure the safety and compliance of credit funds.

[0043] Implementation process: Deconstruction of regulatory requirements: Deconstruction of regulatory requirements of financial regulatory agencies on credit business, such as customer credit rating standards, loan use compliance checks, overdue risk warnings, etc., into specific digital requirements. For example, deconstruction of customer credit rating standards into specific quantifiable digital indicators such as income stability indicators, debt ratio indicators, and repayment record indicators.

[0044] Risk library construction: According to the requirements of digitalization after disassembly, a credit risk library is constructed. The risk library contains algorithms and calculation models for different risk levels. For example, for low-risk customers, a simple linear scoring model based on income stability and good repayment records is adopted; for medium-risk customers, a multivariate regression model of debt ratio and industry volatility factors is introduced; for high-risk customers, a deep neural network model is constructed by combining big data analysis and machine learning algorithms to conduct risk assessment by comprehensively considering multiple complex factors.

[0045] Through the method of this embodiment, financial enterprises can achieve real-time and accurate assessment of credit customer risks, identify potential risks in advance, and effectively reduce the non-performing loan rate. At the same time, it can meet the strict regulatory requirements of financial regulatory agencies on credit business and improve the company's risk management level and regulatory compliance.

[0046] Scenario 2: A large manufacturing company, which involves many complex process flows and equipment operations during production, faces the pressure of supervision of production safety accidents. The company needs to effectively identify and supervise various safety hazards in the production process to ensure the safety of employees and production continuity.

[0047] Implementation process: Decomposition of regulatory requirements: Decomposition of regulatory requirements of production safety regulatory authorities for manufacturing enterprises, such as equipment operation safety standards, employee operation specifications, environmental monitoring indicators, etc., into specific digital requirements. For example, decomposition of equipment operation safety standards into specific digital parameters that can be monitored, such as equipment temperature, pressure, vibration frequency, etc.

[0048] Risk library construction: According to the requirements of digitalization after disassembly, a production safety risk library is constructed. The risk library contains algorithms and calculation models of different risk levels. For example, for the risk of abnormal equipment temperature, a prediction model based on time series analysis is used to predict the future temperature change trend based on the historical temperature data of the equipment; for the risk of employee illegal operation, an algorithm model based on image recognition and behavior analysis is constructed in combination with video surveillance data and operating process specifications; for the risk of excessive environmental pollutants, a multivariate linear regression model is established for evaluation using environmental monitoring data and meteorological conditions data.

[0049] Through the method of this embodiment, the manufacturing enterprise can grasp the various safety risks in the production process in real time, take preventive measures in advance, effectively reduce the probability of production safety accidents, ensure the life safety of employees and the stable operation of the enterprise's production, while also meeting the supervision requirements of the production safety supervision department and improving the enterprise's production safety management level and supervision compliance.

[0050] Step S202: Map the regulatory requirements in the risk library to the enterprise digital management system to generate standardized regulatory core data.

[0051] As an optional example, this embodiment maps the regulatory requirements to the enterprise digital management system through a self-organizing map algorithm, generates regulatory core data according to the management process in the enterprise digital management system, and converts the generated regulatory core data into standardized regulatory core data through standardization processing.

[0052] The method of this embodiment is further described below in a specific scenario.

[0053] Scenario 1: A large retail company has a complex supply chain system involving many suppliers, logistics links and warehousing management. In order to ensure the efficient operation and compliance of the supply chain, the company needs to integrate the supply chain supervision requirements into its own digital management system to achieve effective supervision of all links in the supply chain.

[0054] Implementation process: Regulatory requirements mapping: First, collect supply chain regulatory requirements, including supplier qualification review, product quality inspection, logistics and distribution timeliness, etc. Then, use the self-organizing mapping algorithm to map these regulatory requirements to the corresponding modules in the enterprise digital management system. For example, map supplier qualification review requirements to the supplier management module, map product quality inspection requirements to the product warehousing acceptance module, and map logistics and distribution timeliness requirements to the logistics tracking module.

[0055] Generation of core data for supervision: In the enterprise digital management system, data related to supply chain supervision is automatically collected according to the management process. For example, in the supplier management module, the basic information of the supplier, historical transaction records, validity period of qualification certificates and other data are recorded; in the commodity warehousing acceptance module, the quality inspection report, sampling results, warehousing time and other data of the commodity are recorded; in the logistics tracking module, the transportation status, estimated arrival time, actual arrival time and other data of the goods are recorded. These data are the generated core data for supervision.

[0056] Standardization: Standardize the generated core regulatory data. For example, the validity period of supplier qualification certificates is uniformly converted into the number of days until expiration; for product quality inspection reports, the quality inspection standards and results of different suppliers are uniformly converted into the company's standard quality inspection score; for logistics distribution timeliness, the difference between the estimated arrival time and the actual arrival time is uniformly converted into the number of days of delay. Through this standardization process, the generated core regulatory data is converted into standardized core regulatory data, which is convenient for subsequent analysis and supervision.

[0057] By implementing the method of this application, the retail enterprise can deeply integrate the supply chain supervision requirements with its own digital management system to achieve real-time and accurate supervision of all links in the supply chain. The standardized core supervision data provides strong support for the company's supply chain decision-making, helps optimize supplier selection, improve product quality, and improve logistics and distribution efficiency, thereby enhancing the company's supply chain competitiveness and meeting the regulatory authorities' requirements for supply chain compliance.

[0058] Scenario 2: A medical company, focusing on drug production, faces strict drug production supervision requirements. In order to ensure the compliance of the drug production process and the stability of drug quality, the company needs to embed drug production supervision requirements into the digital management system to achieve effective supervision of the entire drug production process.

[0059] Implementation process: Regulatory requirements mapping: Collect regulatory requirements for drug production, including raw material quality control, production environment cleanliness, production process parameter control, drug quality inspection, etc. Use the self-organizing mapping algorithm to map these regulatory requirements to the raw material management module, production environment monitoring module, production process control module, and quality inspection module in the enterprise digital management system. For example, map raw material quality control requirements to the raw material procurement and acceptance process, map production environment cleanliness requirements to the environmental monitoring system of the production workshop, map production process parameter control requirements to the parameter setting and monitoring system of the production equipment, and map drug quality inspection requirements to the finished product inspection process.

[0060] Generation of core regulatory data: In the enterprise digital management system, data related to supervision is automatically collected according to the drug production management process. For example, in the raw material management module, data such as the purchase batch, supplier information, and quality inspection report of raw materials are recorded; in the production environment monitoring module, environmental data such as the temperature, humidity, and cleanliness of the production workshop are recorded; in the production process control module, data such as the operating parameters, production batches, and production time of production equipment are recorded; in the quality inspection module, data such as drug inspection items, inspection results, and inspection dates are recorded. These data are the generated core regulatory data.

[0061] Standardization: Standardize the generated core regulatory data. For example, for raw material quality inspection reports, the inspection standards and results of different suppliers are uniformly converted into the company's standard quality score; for production environment data, temperature, humidity and other data are uniformly converted into standardized indicators that meet the cleanliness requirements of drug production; for production process parameters, the parameter settings of different equipment are uniformly converted into standardized process parameter ranges; for drug quality inspection results, the results of various inspection indicators are uniformly converted into standardized judgments of pass or fail. Through this standardization process, the generated core regulatory data is converted into standardized core regulatory data, which is convenient for subsequent analysis and supervision.

[0062] Through the method of the present application in the embodiment, the medical enterprise can accurately embed the drug production supervision requirements into the digital management system, and realize real-time and accurate supervision of the entire drug production process. The standardized core supervision data provides strong support for the company's production decisions, helps to ensure the quality of raw materials, optimize the production environment, stabilize the production process, and ensure the quality of drugs, thereby improving the company's drug production compliance and quality stability, meeting the strict requirements of drug regulatory authorities, and ensuring the safety of public drug use.

[0063] Step S203: Match the regulatory requirements to the management process, generate primary screening data based on the standardized regulatory core data, perform risk calculation on the primary screening data, and generate secondary screening data.

[0064] As an optional example, in this embodiment, a correspondence between regulatory requirements and management processes in the enterprise digital management system is constructed, and according to the correspondence between regulatory requirements and management processes in the enterprise digital management system, regulatory requirements are embedded in the management processes of the enterprise digital management system. Risk calculation is performed on the standardized regulatory core data through the corresponding risk level algorithm and calculation model in the risk library, and the calculation results are screened to generate the first-level screening results. Risk calculation is performed on the first-level screening data through the corresponding risk level algorithm and calculation model in the risk library to generate the second-level screening data.

[0065] The method of this embodiment is further described below in a specific scenario.

[0066] Scenario 1: A large retail enterprise has a complex supply chain system involving multiple links such as supplier management, product procurement, and logistics distribution. In order to ensure the stability and compliance of the supply chain, it is necessary to meet the supervision requirements of relevant regulatory authorities on the supply chain, such as supplier qualification review, product quality inspection, and logistics timeliness monitoring.

[0067] Implementation process: Build a corresponding relationship: First, analyze the regulatory requirements of the regulatory authorities on the retail enterprise supply chain and build a corresponding relationship between them and the management process in the enterprise's digital management system. For example, correspond the supplier qualification review regulatory requirements to the supplier access process in the enterprise's digital management system; correspond the commodity quality inspection regulatory requirements to the commodity procurement acceptance process; and correspond the logistics timeliness monitoring regulatory requirements to the logistics distribution tracking process.

[0068] Embed regulatory requirements: Based on the established correspondence, regulatory requirements are embedded into the management process of the enterprise's digital management system. In the supplier access process, a qualification review module is set up to digitally review the supplier's business license, production license and other qualification documents in accordance with the standards of the regulatory authorities; in the commodity procurement and acceptance process, a quality inspection module is added to conduct random inspections and full inspections of commodities in accordance with the quality standards of the regulatory authorities; in the logistics distribution tracking process, a timeliness monitoring module is introduced to monitor the transportation trajectory and estimated arrival time of logistics vehicles in real time.

[0069] Risk Calculation and Screening: Level 1 screening: Risk calculations are performed on standardized core regulatory data through the corresponding risk level algorithms and calculation models in the risk library. For example, for supplier qualification review, the supplier's qualification information, historical cooperation records and other data are collected, and the qualification risk assessment model is used for calculation. If a supplier's qualification is about to expire, the risk value calculated by the model is high, and it will be screened as a level 1 screening result.

[0070] Secondary screening: The corresponding risk level algorithm and calculation model in the risk library are used again to calculate the risk of the primary screening data. Taking the commodity quality inspection link as an example, for commodities with abnormal quality inspection results in the primary screening, the deep quality risk analysis model is further used to conduct a comprehensive assessment in combination with factors such as the production batch of the commodity and the reputation of the supplier. If the quality problems of a batch of commodities are more serious and the supplier's reputation is not good, the secondary risk value calculated by the model is extremely high, and it is generated as the secondary screening data.

[0071] Through the method of the present application in the embodiment, the retail enterprise can accurately embed regulatory requirements into each link of supply chain management and realize all-round and multi-level supervision of the supply chain. The first-level screening can quickly identify potential risk points, and the second-level screening can further accurately locate high-risk factors, enabling enterprises to take targeted measures in a timely manner, such as suspending cooperation with suppliers with qualification issues and recalling substandard products, etc., effectively ensuring the stability and compliance of the supply chain, reducing the operational risks of enterprises, and also meeting the regulatory requirements of regulatory authorities.

[0072] Scenario 2: A construction company has undertaken multiple large-scale construction projects. During the construction process, it needs to comply with strict construction regulations and safety supervision requirements, such as construction qualification management, engineering quality supervision, and production safety supervision. In order to improve project management and regulatory compliance, the company needs to integrate regulatory requirements into the digital project management system.

[0073] Implementation process: Establish corresponding relationships: Sort out the supervision requirements of construction supervision departments for construction projects and establish corresponding relationships with the management processes in the enterprise digital project management system. For example, correspond the supervision requirements of construction qualification management to the project start-up approval process; correspond the supervision requirements of engineering quality supervision to the quality inspection process of the construction process; correspond the supervision requirements of production safety to the safety management process of the construction site.

[0074] Embed regulatory requirements: Based on the corresponding relationship, regulatory requirements are embedded in the corresponding processes of the enterprise's digital project management system. In the project start-up approval process, a qualification review link is set up to conduct a digital review of the construction team's qualification certificates and personnel qualifications in accordance with the qualification standards of the regulatory department; in the construction process quality inspection process, a quality supervision module is added to monitor and evaluate the quality of the project entity in real time according to the building quality specifications; in the construction site safety management process, a safety risk warning module is introduced to collect safety data of the construction site in real time, such as equipment operation status, personnel operation behavior, etc.

[0075] Risk Calculation and Screening: First-level screening: Use the risk level algorithm and calculation model in the risk library to calculate the risk of standardized supervision core data. For example, in the construction qualification management link, collect the qualification information of the construction team, past project performance and other data, and use the qualification risk assessment model for analysis. If the qualification level of a construction team does not meet the project requirements, the risk value calculated by the model is high, and it will be screened as a first-level screening result.

[0076] Secondary screening: Continue to use the model in the risk library to calculate the risk of the primary screening data. Taking the project quality supervision link as an example, for the project parts with defects in the quality inspection results in the primary screening, further use the project quality in-depth risk analysis model, combined with factors such as the quality of building materials and the complexity of construction technology to conduct a comprehensive assessment. If the quality defects of a certain project part are more serious and the materials used have quality problems, the secondary risk value calculated by the model is extremely high, and it is generated as secondary screening data.

[0077] By implementing the method of the present application, the construction company can deeply integrate the construction supervision requirements into each process of project management, and realize the refined and digital supervision of construction projects. The first-level screening can timely discover the potential risk links in project management, and the second-level screening can further accurately lock in high-risk factors. The company can take measures quickly based on this, such as requiring unqualified construction teams to rectify and rework quality defective engineering parts, etc., which effectively guarantees the quality and safety of construction projects, improves the level of project management and regulatory compliance, reduces the legal risks and economic losses caused by illegal operations, and also meets the strict requirements of construction supervision departments.

[0078] Step S204: Use standardized core supervision data, primary screening data, and secondary screening data to conduct multi-dimensional supervision of the management process.

[0079] As an optional example, in this embodiment, based on the risk type and risk level, standardized regulatory core data, primary screening data, and secondary screening data are used to conduct multi-dimensional identification and assessment of corresponding risks in the management process.

[0080] The method of this embodiment is described in detail below in a specific scenario.

[0081] Scenario: A large logistics company handles a large amount of cargo transportation business every day and faces various risks such as cargo loss, damage, and delay. In order to improve the level of risk management and ensure that the goods are delivered to customers on time and safely, the company needs to accurately identify and evaluate various risks in the transportation process.

[0082] Implementation process: Risk types and levels: Based on the characteristics of the logistics industry, cargo transportation risks are divided into cargo loss risk, cargo damage risk, transportation delay risk, etc., and each risk is further divided into three levels: low, medium, and high. For example, among cargo loss risks, the risk of cargo loss with low value and short transportation routes is low; the risk of cargo loss with high value and complex transportation routes is high.

[0083] Standardized core data for supervision: Standardized core data for supervision are determined for different types and levels of risks. For example, for the risk of cargo loss, the core data include cargo tracking number, cargo value, transportation route, etc.; for the risk of cargo damage, the core data include cargo packaging type, cargo weight, transportation vehicle type, etc.; for the risk of transportation delay, the core data include estimated delivery time, actual departure time, transportation distance, etc.

[0084] Primary screening data and secondary screening data collection: In the cargo transportation management process, primary screening data and secondary screening data are collected. Primary screening data mainly comes from the preparation stage before cargo transportation, such as inspection records when cargo enters the warehouse, maintenance records of transportation vehicles, etc.; secondary screening data comes from real-time monitoring data during cargo transportation, such as vehicle positioning information, road condition information, cargo status monitoring data, etc.

[0085] Multi-dimensional identification and assessment: Based on the risk type and risk level, standardized core data, primary screening data, and secondary screening data are used to identify and assess the corresponding risks in the management process in multiple dimensions. For example, for a high-value cargo with a complex transportation route, it is first determined as a high-risk cargo loss risk object through standardized core data (cargo tracking number, cargo value, and transportation route); then, combined with the primary screening data (packaging inspection records when the cargo is put into storage, and maintenance records of the transport vehicle), the potential risks of the cargo before transportation are preliminarily assessed; finally, the secondary screening data (real-time vehicle positioning information, road condition information, and cargo status monitoring data) are used to dynamically assess the risks of the cargo during transportation. If during transportation, the vehicle positioning information shows that the vehicle deviates from the scheduled route, and the cargo status monitoring data shows that the cargo packaging has abnormal vibrations, the system determines that the risk level of the cargo loss has further increased based on these multi-dimensional data, and immediately sends an alarm to the logistics management personnel, and provides corresponding risk response suggestions, such as contacting the driver to verify the situation, arranging spare vehicles for cargo transfer, etc.

[0086] By implementing the method of this application, the logistics enterprise can comprehensively and accurately identify and evaluate various risks in the cargo transportation process, take effective risk response measures in advance, greatly reduce the probability of cargo loss, damage and delay, improve customer satisfaction, and also enhance the enterprise's risk management capabilities and operational efficiency.

[0087] This application is based on an embedded supervision method and system for enterprise digital management. By breaking down supervision requirements into specific digital requirements and building a risk library containing different risk level algorithms and calculation models, the application uses standardized supervision core data, primary screening data, and secondary screening data to identify and evaluate corresponding risks in the management process in multiple dimensions based on risk types and risk levels, achieving the following significant beneficial technical effects: 1. Improving the accuracy and comprehensiveness of risk identification Accurately locate risks: Refine regulatory requirements into quantifiable digital indicators, so that risk identification no longer relies on vague subjective judgments, but is based on clear and specific data standards; Comprehensive coverage of risks: The constructed risk library covers algorithms and calculation models of different risk levels, which can comprehensively identify various risks.

[0088] II. Enhance the scientificity and timeliness of risk assessment Scientifically quantify risks: The algorithms and computational models in the risk library can quantitatively assess risks and convert abstract risks into specific values ​​or levels for easy understanding and comparison; Real-time dynamic assessment: Combine standardized regulatory core data, primary screening data and secondary screening data to conduct multi-dimensional, real-time dynamic assessment of risks in the management process.

[0089] 3. Optimize resource allocation and improve management efficiency Reduce resource utilization: Compared with the existing digital monitoring system, the present invention avoids the ineffective processing and calculation of a large amount of irrelevant data through accurate risk identification and scientific risk assessment, thus significantly reducing resource utilization; Improve management decision-making efficiency: Multi-dimensional risk identification and assessment results provide comprehensive and accurate information support for management decisions, enabling managers to quickly and accurately grasp the risk status and make reasonable decisions in a timely manner.

[0090] 4. Break down information silos and promote data sharing and collaboration Realize data integration and sharing: In the process of risk identification and assessment, the present invention involves data from different sources, including standardized regulatory core data, primary screening data and secondary screening data. This encourages enterprises to break information silos, integrate data resources from various departments and links, and realize data sharing and circulation; Improve regulatory transparency: The risk identification and assessment process based on multi-dimensional data is clear and transparent, making it easier for internal departments of the enterprise and external regulatory agencies to understand the basis and methods of risk supervision.

[0091] 5. Strengthen regulatory compliance and reduce the risk of non-compliance Strictly follow regulatory requirements: The present invention starts from regulatory requirements, breaks them down into specific digital requirements, and runs through the entire process of risk identification and assessment, ensuring that the enterprise's risk management activities strictly follow the regulations of the regulatory agency; Early warning and risk prevention: Multi-dimensional, real-time dynamic risk assessment can provide early warning of potential risks, allowing companies to have enough time to take preventive measures to avoid the occurrence and expansion of risks.

[0092] like Figure 5 As shown, the present application also provides a device, including a processor 310, a communication interface 320, a memory 330 for storing a computer program executable by the processor, and a communication bus 340. The processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 implements the above-mentioned embedded supervision method based on enterprise digital management by running the executable computer program.

[0093] Among them, the computer program in the memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0094] The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected based on actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0095] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0096] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. An embedded supervision method based on enterprise digital management, characterized in that: The method comprises: Digitally transform regulatory requirements and build a risk library containing algorithms and calculation models for different risk levels; Map the regulatory requirements in the risk library to the enterprise digital management system to generate standardized regulatory core data; Match regulatory requirements to management processes, generate primary screening data based on standardized regulatory core data, perform risk calculations on primary screening data, and generate secondary screening data; Standardized regulatory core data, primary screening data and secondary screening data are used to conduct multi-dimensional supervision of management processes.

2. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: The risk library can capture information from the database and classify and display the captured information according to specified dimensions and types.

3. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: Mapping the regulatory requirements in the risk library to the enterprise digital management system, including: mapping the regulatory requirements to the enterprise digital management system through a self-organizing mapping algorithm.

4. The embedded supervision method based on enterprise digital management according to claim 3 is characterized in that: Generate standardized regulatory core data, including: generate regulatory core data according to the management process in the enterprise digital management system, and convert the generated regulatory core data into standardized regulatory core data through standardized processing.

5. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: Matching regulatory requirements to management processes includes: establishing a correspondence between regulatory requirements and management processes in the enterprise's digital management system; and embedding regulatory requirements into the management processes of the enterprise's digital management system based on the correspondence between regulatory requirements and management processes in the enterprise's digital management system.

6. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: Generate first-level screening data based on standardized regulatory core data, including: perform risk calculation on standardized regulatory core data through corresponding risk level algorithm and calculation model in the risk library, screen the calculation results, and generate first-level screening results.

7. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: Performing risk calculation on the primary screening data to generate secondary screening data includes: performing risk calculation on the primary screening data through the corresponding risk level algorithm and calculation model in the risk library to generate secondary screening data.

8. The embedded supervision method based on enterprise digital management according to claim 1 is characterized in that: Standardized core regulatory data, primary screening data and secondary screening data are used to conduct multi-dimensional supervision of management processes, including: based on risk types and risk levels, standardized core regulatory data, primary screening data and secondary screening data are used to conduct multi-dimensional identification and assessment of corresponding risks in the management process.

9. An embedded supervision system based on enterprise digital management, characterized in that: The embedded supervision system includes an embedded supervision server, and the embedded supervision server includes: The risk library construction module is used to digitally convert regulatory requirements and build a risk library containing algorithms and calculation models for different risk levels; Standardized regulatory core data generation module, used to map regulatory requirements in the risk library to the enterprise digital management system and generate standardized regulatory core data; The multi-level screening data generation module is used to map regulatory requirements to management processes, generate primary screening data based on standardized regulatory core data, perform risk calculations on primary screening data, and generate secondary screening data; The multi-angle supervision module is used to conduct multi-angle supervision of management processes using standardized core supervision data, primary screening data and secondary screening data.

10. A computer device, characterized in that: The computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method according to any one of claims 1 to 8 when executing the program.

Images