User emergency insurance supply'finger singing confirmation 'digital platform system based on component visual angle

Abstract

The invention relates to the technical field of industrial Internet of Things, and discloses a user emergency insurance supply'finger singing confirmation 'digital platform system based on a component visual angle, which comprises an information acquisition module; a real-time monitoring module; a visual display module; an early warning module; the man-hour management module is used for storing and dynamically correcting the standard work man-hour of each part, and the correction is based on the deviation between the historical actual man-hour and the standard man-hour of big data mining analysis; and the collaborative confirmation module is in communication connection with the visual display module and the early warning module, and is used for distributing responsibility departments and persons in charge based on the RACI matrix for each finger singing confirmation element. According to the system, a set of efficient monitoring and early warning mechanism is established, and lean production is driven through digitization. The digital finger singing confirmation mode based on the user parts can be quickly copied and expanded to other machining centers, and has the potential of copying and popularizing user insurance supply services of other enterprises in the iron and steel manufacturing industry.

Description

Technical Field

[0001] This invention relates to the field of industrial Internet of Things (IoT) technology, specifically to a digital platform system for emergency supply confirmation of users based on component perspective. Background Technology

[0002] As manufacturing supply chains become increasingly complex, especially in highly competitive market environments, customers are demanding higher speeds and accuracy in parts delivery. Particularly in the case of urgent orders and special needs scenarios, ensuring efficient and accurate production processes to meet customer demands has become a crucial factor in a company's continued competitiveness. However, traditional customer supply chain management methods, while guaranteeing supply chain operation to some extent, have revealed many shortcomings when facing modern production and highly flexible market demands.

[0003] 1. Limitations of traditional information transmission methods

[0004] In existing supply chain management, information transmission largely relies on manual communication and paper records, requiring extensive coordination and communication between different departments and positions. This not only increases the time cost and difficulty of communication but also easily leads to information delays, distortions, or losses. Due to the inefficient flow of information, if information is not transmitted in a timely manner or is erroneous at any stage, it may cause delays throughout the entire supply chain, thereby affecting the delivery time of parts and components, damaging the company's operational efficiency and market reputation.

[0005] 2. Lack of effective inter-departmental coordination mechanisms

[0006] Traditional supply chain management models often lack a unified information platform and standardized collaboration processes. Inter-departmental and inter-position communication relies heavily on manual processes, lacking efficient coordination mechanisms. This results in slow response times when faced with sudden demands or urgent orders, hindering timely adjustments to production plans and resource allocation, leading to low delivery efficiency and even missed opportunities.

[0007] 3. Inadequacies of existing monitoring and early warning mechanisms

[0008] Currently, most companies lack real-time monitoring and early warning mechanisms for their supply chain management. Problems are often only discovered and addressed after they occur and impact production. The lack of an effective early warning system prevents potential supply chain bottlenecks and issues from being identified and resolved in a timely manner, increasing operational risks and reducing customer satisfaction.

[0009] 4. Poor dependence on and adaptability to information technology

[0010] With the rapid development of information technology, especially the widespread application of technologies such as cloud computing, big data, and the Internet of Things, many traditional enterprises have not fully utilized these new technologies to optimize supply chain management. As a result, their management models remain at the traditional paper-based and manual operation stage, lacking intelligent and digital support. This outdated management model can no longer meet the increasingly complex market demands and the requirements of lean production.

[0011] 5. Changing Needs in Supply Chain Management

[0012] As businesses expand their production scale and market competition intensifies, traditional supply chain management methods are unable to cope with more flexible and rapid demands. The market environment is constantly changing, and customers' delivery requirements are becoming increasingly stringent. Businesses need more efficient, transparent, and intelligent supply chain management systems to handle increasingly complex production tasks and customer needs.

[0013] In view of this, the existing traditional supply chain management model is no longer suitable for the needs of modern supply chains. Enterprises urgently need to find a new solution to improve the efficiency, transparency and responsiveness of supply chain management and meet rapidly changing market demands and customer expectations. Summary of the Invention

[0014] This invention provides a digital platform system for emergency supply confirmation based on user components, establishing an efficient monitoring and early warning mechanism to drive lean production through digitalization. This digital confirmation model based on user components can be quickly replicated and expanded to other processing centers, and also has the potential to be replicated and promoted to other enterprises in the steel manufacturing industry.

[0015] The present invention solves the above-mentioned technical problems through the following technical solution:

[0016] A digital platform system for emergency supply confirmation of user data based on component perspective includes:

[0017] The information acquisition module is used to receive and summarize user order information, standard operating time data for parts and components, and parallel operation factors.

[0018] The real-time monitoring module is connected to the information acquisition module and is used to monitor the status and update the data of multiple key confirmation elements in the order process. The key confirmation elements include eleven elements: raw material warehousing, pallet ordering, order form preparation, production and processing, vehicle entry and exit from the factory, and customer arrival.

[0019] The visualization module communicates and connects with the real-time monitoring module to display the progress and status of each confirmation element in the form of a visual dashboard on multiple terminals.

[0020] The early warning module communicates with the real-time monitoring module and the visualization display module. Based on the standard operating hours of the components and the critical path method CPM early warning model, it dynamically calculates the latest completion time and outputs flashing prompts according to four levels of early warning status: green, yellow, red, and orange.

[0021] The time management module is used to store and dynamically correct the standard working hours of each component. The correction is based on big data mining and analysis of the deviation between historical actual working hours and standard working hours.

[0022] The collaborative confirmation module communicates with the visualization and early warning modules to assign responsible departments and personnel based on the RACI matrix to each confirmation element, and automatically pushes to-do and early warning notifications to the corresponding responsible personnel and their superiors when a timeout occurs.

[0023] In one specific embodiment, the visualization module presents the completion rate, remaining working hours, and warning status of each finger-singing confirmation element in real time on the same dashboard in the form of interactive charts.

[0024] In one specific embodiment, the early warning module is further equipped with a WeChat push unit, which automatically pushes a message to the mobile phone of the corresponding person in charge when any finger-singing confirmation element enters the yellow, red or orange state.

[0025] In one specific embodiment, the time management module includes a "measurement-analysis-improvement-control" closed-loop correction submodule, which is used to periodically adjust and optimize standard work hours based on newly collected actual work data.

[0026] In one specific embodiment, the information acquisition module connects with the enterprise's ERP and MES systems via API to retrieve business data such as production, warehousing, and logistics in real time.

[0027] In a specific embodiment, the real-time monitoring module uses IDEF0 modeling to perform functional analysis on the user supply guarantee process in order to identify and manage eleven key elements, including raw material warehousing, pallet ordering, plan preparation, production and processing, vehicle entry and exit from the factory, and reaching customers.

[0028] In a specific embodiment, the collaborative confirmation module constructs an early warning model based on the Critical Path Method (CPM) and dynamically adjusts the calculation formula for the latest completion time of each element in conjunction with the parallel operation factor.

[0029] In one specific embodiment, the multiple terminals include a browser-based web application and a native mobile application, both of which support real-time operation, confirmation, and message push functions.

[0030] In one specific embodiment, the visualization module provides multi-dimensional filtering and query functions by department, project, or component type.

[0031] In a specific embodiment, the warning module triggers different flashing frequencies and color displays according to the warning level, wherein the yellow flashes once per second, the red is always on, and the orange flashes slowly once every three seconds.

[0032] The "Digital Platform System for Emergency Supply Confirmation Based on Components" has the following main beneficial effects in its implementation:

[0033] 1. Full-process visualization and transparent management: The visualization module presents the completion rate, remaining working hours and warning status of eleven key confirmation elements in real time through multi-terminal dashboards, enabling management and front-line personnel to have a clear understanding of the entire supply guarantee process, avoiding information silos and delayed transmission, and improving decision-making efficiency.

[0034] 2. Dynamic early warning and proactive intervention: The early warning module is based on standard operating hours and the critical path method (CPM) model to dynamically calculate the latest completion time of each element and flash the warning according to four levels of status: green, yellow, red, and orange. In the embodiment, the warning can also be pushed to WeChat at the yellow level or above, realizing "1+1" dual alarm and greatly reducing the risk of timeout.

[0035] 3. Standard working hours management and continuous optimization: The working hours management module uses a closed-loop correction sub-module of "measurement-analysis-improvement-control" to regularly use big data to mine the deviation between historical actual working hours and standard working hours, dynamically adjust and optimize the standard working hours of each component, and ensure the accuracy of early warning calculations and the long-term applicability of the system.

[0036] 4. End-to-end automated data collection: The information collection module connects with back-end systems such as ERP and MES in real time via API, automatically summarizing user order information, working hours data and parallel operation factors, eliminating manual input errors and delays, and making the platform run more efficiently and stably.

[0037] 5. Refined division of responsibilities and collaboration: The collaboration confirmation module is based on the RACI matrix, which accurately assigns eleven key confirmation elements to responsible departments and individuals; when a certain step exceeds the time limit, the system automatically pushes to-do and early warning notifications to the responsible person and their superiors, realizing closed-loop management and efficient collaboration. Detailed Implementation

[0038] The technical solutions in the embodiments of this utility model are described clearly and completely below. Obviously, the described embodiments are only some embodiments of this utility model, and not all embodiments. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0039] A specific embodiment of the present invention, “A Digital Platform System for Emergency Supply Confirmation of User’s Finger Singing Based on Component Perspective,” is described below, but the present invention is not limited to this embodiment.

[0040] Example 1

[0041] The platform in this embodiment consists of six subsystems: information acquisition module, real-time monitoring module, visualization display module, early warning module, work hour management module, and collaborative confirmation module. The subsystems are interconnected through an internal message bus and RESTful API to achieve efficient data flow and sharing.

[0042] The information collection module, through API integration with enterprise ERP and MES systems, retrieves user order information, standard operating hours data for parts, and parallel operation factors in real time. It employs an OAuth 2.0 authentication mechanism and periodically polls or uses event-driven methods to obtain new order and time change data, ensuring data accuracy and completeness.

[0043] The real-time monitoring module, based on the IDEF0 modeling method, performs functional analysis on the supply guarantee process, identifies 11 key confirmation elements, including raw material warehousing, pallet ordering, order preparation, production and processing, vehicle entry and exit from the factory, and customer arrival, and monitors and updates their status in real time.

[0044] Using a microservice architecture, each element is built as an independent monitoring service. After receiving data pushed by the information collection module, it calculates the current status and stores it in a time-series database for subsequent querying and analysis.

[0045] The visualization module displays the completion rate, remaining working hours, and warning status of each confirmation element in an interactive chart and dashboard format on both the web and native mobile applications; it supports multi-dimensional filtering and querying by department, project, or component type.

[0046] The front end uses React combined with ECharts components to achieve drag-and-drop layout and dynamic refresh; the back end provides a GraphQL interface to return view data on demand.

[0047] The early warning module, based on the Critical Path Method (CPM) early warning model, combines the standard operating hours of parts and the parallel operation factor to dynamically calculate the latest completion time of each element; it outputs corresponding flashing prompts according to the four levels of early warning status: green, yellow, red, and orange, and actively notifies the responsible person through WeChat push unit when the status is yellow or above.

[0048] Specifically, by introducing four colors to distinguish the urgency of current user supply guarantee elements, the system shifts from passive response to proactive intervention, providing clearer and more intuitive monitoring and management tools for various business positions.

[0049] They are:

[0050] Green: Represents supply elements that do not require processing, or elements that the singer confirms on time.

[0051] Yellow: If there are still half an hour left before the deadline for the current supply guarantee element is reached, it will automatically turn into a flashing yellow state.

[0052] Red: If the singer fails to confirm their performance by the current deadline for supply guarantee elements, the supply guarantee element will turn red.

[0053] Orange: If the singer completes the confirmation of the singing after the current deadline for the supply guarantee element, the supply guarantee element will turn orange.

[0054] Through the use of four colors and a tiered warning system with flashing indicators, each business unit can clearly and intuitively identify the current status of the user's supply guarantee work: which supply guarantee elements have been successfully completed, meaning that the corresponding resources or services have arrived on time and require no additional attention; which supply guarantee elements are about to exceed their time limit, prompting relevant units to take immediate action to avoid delays; which supply guarantee elements have already exceeded their time limit, reminding downstream units to accelerate progress and make up for lost time; and which supply guarantee elements have been completed while exceeding their time limit, requiring relevant units to analyze the reasons for the timeout, optimize processes, and prevent recurrence. This tiered warning system ensures that each supply guarantee unit can quickly identify and address potential problems and risks.

[0055] The establishment of a four-level early warning system further enhances the intelligence level of users' supply chain processes. By setting different early warning levels and thresholds, we can provide timely warnings and interventions for delayed nodes in the supply chain, or nodes that may cause delays. This early warning system not only improves the reliability and stability of users' supply chain, but also greatly enhances the emergency response capabilities of each business node.

[0056] The algorithm service periodically reads the latest status from the time-series database, performs CPM calculation, and updates the warning level; the UI dashboard adjusts the flashing frequency according to the warning level (yellow once / second, red always on, orange once / 3 seconds); the push service calls the WeChat API to implement message notifications.

[0057] The time management module stores and dynamically corrects the standard working hours of each component. Based on the four-step closed-loop correction sub-module of "measurement-analysis-improvement-control", it regularly uses big data mining to analyze the deviation between historical actual working hours and standard working hours and optimizes the time indicators.

[0058] The data warehouse aggregates the actual working hours of all elements, the analysis service generates a deviation report, and after management approval, the standard working hours are automatically updated and published to the information collection module.

[0059] The collaborative confirmation module assigns responsible departments and personnel to each confirmation element based on the RACI matrix; when an element is not completed within the time limit, the system automatically pushes pending tasks and early warning notifications to the corresponding responsible person and their superiors.

[0060] The responsibility allocation table is stored in the permission management service, the timeout detection trigger is executed in the early warning module, and the push service sends alarms through both WeChat and platform in-site notifications.

[0061] Specifically, to further clarify the responsible parties for each karaoke confirmation element in the user supply chain, the project team introduced the RACI matrix model for responsibility allocation based on 11 karaoke confirmation elements. This model breaks through the boundaries of traditional job responsibilities, enabling each karaoke confirmation element to identify its corresponding responsible department and clarifying the karaoke confirmation entity. This clear division of responsibilities improves the reliability and stability of user supply chain karaoke confirmation.

[0062]

[0063] Table 1

[0064]

[0065]

[0066] Table 2

[0067] By linking the RACI matrix with responsible personnel, task assignment and progress tracking are automated. For example, when the "bill of lading creation" stage times out, the system automatically sends a reminder to the person in charge in the business department (Xie**) and simultaneously copies it to their superior, forming a closed-loop management system.

[0068] Typical process example

[0069] Order creation: When a user adds an urgent order on the ERP system, the information collection module simultaneously obtains the order details and delivery time.

[0070] Element activation: The real-time monitoring module activates the corresponding 11 finger-voice confirmation element monitoring services according to the IDEF0 model.

[0071] Progress tracking: Business personnel can click on the "Production and Processing" element in the visual dashboard to view the remaining working hours and warning status.

[0072] Warning Triggered: If the "Vehicle Entering the Factory" element is not confirmed within 30 minutes of the latest completion time, the system will mark the element in yellow and make it flash, and simultaneously push a notification to the responsible person via WeChat.

[0073] Timeout closed loop: After the timeout, the fingering is completed, the collaborative confirmation module records the actual completion time and feeds it back to the time management module to optimize the time standard for the next time.

[0074] Through the above specific implementation, the present invention realizes full-process digital management from automated information collection to multi-dimensional visual monitoring, and then to intelligent early warning and continuous optimization, effectively improving the efficiency, transparency and reliability of users' emergency supply guarantee.

[0075] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0076] The above description of the disclosed embodiments enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A user emergency supply "point singing confirmation" digital platform system based on the perspective of spare parts, characterized by, The application relates to a supply chain management system, comprising: an information collection module for receiving and aggregating user order information, parts standard operation time data and parallel operation factors; a real-time monitoring module in communication connection with the information collection module, for monitoring the state and updating the data of multiple confirmation elements of the order process; the confirmation elements include raw material storage, wood support ordering, plan sheet making, production processing, vehicle in and out of the factory and reaching the customer, a total of eleven elements; a visual display module in communication connection with the real-time monitoring module, for displaying the progress and state of each confirmation element in the form of a visual board on multiple terminals; an early warning module in communication connection with the real-time monitoring module and the visual display module, for dynamically calculating the latest completion time based on the parts standard operation time and the critical path method (CPM) early warning model, and outputting a flashing prompt according to four early warning states of green, yellow, red and orange; an operation time management module for storing and dynamically correcting the standard operation time of each part, the correction being based on the deviation between the historical actual operation time and the standard operation time through big data mining and analysis; a collaborative confirmation module in communication connection with the visual display module and the early warning module, for assigning the responsible department and the responsible person of each confirmation element based on the RACI matrix, and automatically pushing the to-do and early warning notifications to the corresponding responsible person and his / her superior when the time is up.

2. The system of claim 1, wherein, The visual display module presents the completion rate, remaining operation time and early warning state of each confirmation element in the form of an interactive chart on the same board in real time.

3. The system of claim 1, wherein, The early warning module further provides a WeChat push unit, which automatically pushes a message to the mobile phone of the corresponding responsible person when any confirmation element enters the yellow, red or orange state.

4. The system of claim 1, wherein, The operation time management module comprises a "measurement-analysis-improvement-control" closed-loop correction submodule for periodically adjusting and optimizing the standard operation time based on newly collected actual operation data.

5. The system of claim 1, wherein, The information collection module is connected with enterprise ERP and MES systems through API and pulls the business data of production, storage and logistics in real time.

6. The system of claim 1, wherein, The real-time monitoring module uses IDEF0 modeling to analyze the functions of the user supply process, so as to identify and manage eleven key elements including raw material storage, wood support ordering, plan sheet making, production processing, vehicle in and out of the factory and reaching the customer.

7. The system of claim 1, wherein, The collaborative confirmation module constructs an early warning model based on the critical path method (CPM) and dynamically adjusts the latest completion time calculation formula of each element in combination with the parallel operation factor.

8. The system of claim 1, wherein, The multiple terminals include a browser-based Web terminal and a native mobile terminal application, both of which support real-time operation, confirmation and message push functions.

9. The system of claim 1, wherein, The visual display module provides multi-dimensional filtering and query functions according to departments, projects or part types.

10. The system of claim 1, wherein, The early warning module triggers different flashing frequencies and color displays according to the early warning levels, wherein the yellow flashing frequency is once per second, the red color is always on, and the orange color is slow flashing once every three seconds.

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