Energy industry-oriented equipment purchase payment prompting management method and related equipment

Abstract

The embodiment of the invention provides an energy industry-oriented equipment purchase payment prompting management method and related equipment, and belongs to the technical field of information management. The method comprises the following steps: acquiring production progress data and transportation state data of target equipment; the target equipment belongs to equipment in the energy industry; based on the type of the target equipment, calling a standard process template corresponding to the equipment type from a preset energy industry exclusive process library; the standard process template comprises at least one process and a standard construction period and a risk threshold value corresponding to the process; calculating the progress deviation of at least one current process in the target equipment according to the production progress data; and if it is determined that the progress deviation exceeds a preset risk threshold, generating and pushing graded early warning information based on the type and severity of the progress deviation. According to the embodiment of the invention, early identification and early prompt of production and transportation risks are realized, so that the controllability and response efficiency of the equipment delivery process can be improved.

Description

Technical Field

[0001] This application relates to the field of information management technology, and in particular to a method and related equipment for managing the expedited delivery of equipment procurement in the energy industry. Background Technology

[0002] The energy industry is a core pillar of the national economy, encompassing multiple sub-sectors such as offshore wind power, onshore wind power, coal-fired power generation, gas turbine power generation, and power grid engineering. Its equipment procurement is characterized by specialized product categories, long manufacturing cycles, complex cross-entity collaboration, and strong linkage to project schedules. For example, the manufacturing cycle for offshore wind turbines can reach three to six months; a single boiler in a coal-fired power plant weighs over a thousand tons and requires specialized logistics; and the installation of power grid transformers must be synchronized with the on-site civil engineering progress. The timeliness of equipment procurement and delivery directly determines whether a project can be put into operation on schedule. It is understood that the average daily cost of ship equipment for an offshore wind power project exceeds two million yuan, and a one-day delay in equipment procurement can result in a direct loss of over one million yuan. Summary of the Invention

[0003] The main objective of this application is to propose a method and related equipment for managing the procurement and delivery of equipment in the energy industry, which can improve the controllability and response efficiency of the equipment delivery process.

[0004] To achieve the above objectives, one aspect of this application proposes a method for managing the procurement and delivery of equipment in the energy industry. The method includes: acquiring production progress data and transportation status data of the target equipment; wherein the target equipment belongs to the energy industry. Based on the type of the target equipment, a standard process template corresponding to the equipment type is retrieved from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard construction period and risk threshold. Based on the production progress data, calculate the progress deviation of at least one current process in the target equipment; If the schedule deviation is determined to exceed the preset risk threshold, a graded early warning message is generated and pushed based on the type and severity of the schedule deviation.

[0005] In some embodiments, acquiring the production progress data and transportation status data of the target equipment includes: The system receives process information and on-site image data reported by user-authorized mobile terminals through a preset user port. The system automatically adds a watermark containing project identifier, equipment identifier, timestamp, and geographic location information to the on-site image data and verifies the logical consistency between the watermark information and the information entered. The verified process information is associated with and encrypted with watermarked on-site image data, and stored as part of the production progress data.

[0006] In some embodiments, receiving process reporting information and on-site image data reported by a user-authorized mobile terminal through a preset user port includes: Receive a user's request to authorize login via device identifier, and verify the binding relationship between the device identifier and at least one authorized item identifier; In response to the user's input, the standard process template matching the target equipment type is displayed; The system receives the user's selection of completed processes and time entries in the standard process template, and receives uploaded on-site image data for specific key processes.

[0007] In some embodiments, acquiring the production progress data and transportation status data of the target equipment includes: Based on the shipping information of the target equipment, the application programming interface of a third-party platform is invoked to obtain the real-time trajectory information of the target equipment during transportation; the transportation process includes sea freight or land transportation of large items; The real-time trajectory information is compared with the preset transportation plan route; When the comparison result exceeds the preset deviation threshold, a transportation anomaly alert is triggered, and the real-time trajectory information is associated with the anomaly status as part of the transportation status data.

[0008] In some embodiments, calculating the progress deviation of at least one current process in the target equipment based on the production progress data includes: For completed processes, the actual duration is calculated based on the actual start and end times in the production progress data, and the deviation is calculated between the actual duration and the standard duration in the process library. For incomplete processes, the estimated completion time is calculated based on the current time, the process start time, and the standard duration, and the estimated deviation is calculated from the standard duration. The overall schedule deviation of the target equipment is calculated based on the deviation value of each process and its weight in the standard duration.

[0009] In some embodiments, generating and pushing graded early warning information based on the type and severity of the progress deviation includes: Set a multi-level threshold including a warning threshold and a severe warning threshold; based on the comparison result between the progress deviation and the multi-level threshold, classify the warning level into a yellow warning or a red warning; For different warning levels, generate warning notifications containing device information, deviation details and handling suggestions, and push them to the responsible persons at different levels associated with the device through the preset user port messages and / or SMS. Establish a closed-loop system for early warning processing, track the input of early warning processing measures and subsequent progress changes, and automatically escalate the early warning if it is not processed within a preset time.

[0010] In some embodiments, the method further includes: In response to the data display request from the management end, a visual reminder dashboard is generated and displayed on the web page based on the production progress data and transportation status data. The reminder dashboard supports multi-perspective statistical analysis of equipment delivery progress, warning distribution, and transportation status by project dimension, equipment type dimension, or supplier dimension.

[0011] To achieve the above objectives, another aspect of this application proposes an equipment procurement expediting management device for the energy industry, the device comprising: The data acquisition module is used to acquire production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry. The template retrieval module is used to retrieve a standard process template corresponding to the type of the target equipment from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard construction period and risk threshold; The deviation calculation module is used to calculate the progress deviation of at least one current process in the target equipment based on the production progress data. The early warning push module is used to generate and push graded early warning information based on the type and severity of the progress deviation if it is determined that the progress deviation exceeds the preset risk threshold.

[0012] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above.

[0013] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described above.

[0014] To achieve the above objectives, another aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the methods described above. The embodiments of this application include at least the following beneficial effects: This application provides a method, device, electronic device, storage medium, and program product for equipment procurement and delivery management in the energy industry. This solution obtains production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry; based on the type of the target equipment, a standard process template corresponding to the equipment type is retrieved from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard duration and risk threshold; based on the production progress data, the progress deviation of at least one current process in the target equipment is calculated; if it is determined that the progress deviation exceeds the preset risk threshold, a graded early warning information is generated and pushed based on the type and severity of the progress deviation. Implementing the embodiments of this application, based on the specific type of equipment, the corresponding standard process template is matched and called from a pre-built energy industry-specific process library. By comparing the actual production progress with the standard schedule in the template, the progress deviation of the current process can be dynamically calculated. Once the deviation is detected to exceed the preset risk threshold, a differentiated graded early warning information will be automatically generated based on the nature and extent of the deviation, and pushed to relevant personnel in a timely manner. The establishment of the exclusive process library reflects a deep integration of the process characteristics of the energy industry, the standard process template provides a standardized benchmark for reference, and the graded early warning mechanism based on deviation analysis and threshold judgment enables early identification and early warning of production and transportation risks, thereby improving the controllability and response efficiency of the equipment delivery process. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of an implementation environment provided in an embodiment of this application; Figure 2 This is a flowchart of an equipment procurement expediting management method for the energy industry provided in an embodiment of this application; Figure 3 This is a flowchart of the equipment progress reporting process in one embodiment; Figure 4 This is a flowchart illustrating the risk warning logic in one embodiment; Figure 5 This is a schematic diagram of the structure of the equipment procurement expediting management device for the energy industry provided in the embodiments of this application; Figure 6 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0017] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0018] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0020] Before providing a detailed description of the embodiments of this application, some of the nouns and terms involved in the embodiments of this application will be explained first. The nouns and terms involved in the embodiments of this application are subject to the following interpretations.

[0021] 1) AIS (Automatic Identification System): The Automatic Identification System for ships can collect key trajectory information such as ship position, heading, and speed in real time. This invention realizes the visual tracking of the maritime transport process of offshore wind power equipment by connecting to the standardized AIS information service integrated and processed by a third-party maritime data service platform, and ensures the traceability of special transportation. 2) GPS (Global Positioning System): The satellite navigation and positioning data access module used in this invention for collecting the location of heavy-duty transport vehicles does not directly participate in the underlying acquisition of positioning signals. Instead, it connects to the vehicle-mounted GPS hardware device through a standardized communication interface to receive a standardized vehicle positioning dataset (including real-time latitude and longitude, driving speed, heading angle, and other position and driving status information, with positioning accuracy meeting the civilian-grade requirement of ≤10 meters) output by the hardware, which is updated at a frequency of ≤3 minutes. This supports the implementation of energy equipment land transport trajectory monitoring and abnormal deviation alert functions. 3) MySQL: A relational database that uses a master-slave architecture to achieve read-write separation. It is dedicated to storing structured data such as device information, project progress, user permissions, and alert logs. It supports 1000+ concurrent accesses, ensuring data processing efficiency when managing multiple projects in parallel. 4) Redis: A high-performance caching database used to store frequently accessed data such as real-time alerts, user login status, and project progress snapshots. It sets a 30-minute cache expiration time and synchronizes with MySQL regularly to reduce database access pressure. 5) MinIO: A distributed file storage system that adapts to the needs of unstructured data storage, supports chunked upload and breakpoint resume (single file ≤ 100MB), and is dedicated to storing watermarked photos filled in on-site to ensure data security and fast retrieval; 6) Energy industry equipment: Specifically refers to core equipment adapted to sub-sectors such as wind power, coal-fired power, and gas turbines, including wind turbines, towers, boilers, and gas turbine modules. These equipment are characterized by long manufacturing cycles (3-6 months), high technical complexity, and large size requiring special transportation. Their delivery schedule directly affects the overall project schedule. 7) Process Library: A standardized data set specifically for the energy industry. Its core is to build a four-dimensional mapping relationship of "equipment type-process-standard duration-risk threshold". It has pre-set standard process templates for equipment in multiple fields, supports user-defined editing and version management, and provides a unified data basis for progress calculation and risk assessment. 8) Lightweight data entry: Based on WeChat mini-programs, this first-line data collection method is compatible with both iOS and Android systems. It supports simple operations such as process selection, time entry, and watermark photography. It also has an offline caching function (temporarily stores data when there is no network and automatically synchronizes when connected to the network), making it suitable for complex network environments in the factory area. 9) Watermarked photos: On-site photos automatically generated by the system with watermarks. The watermark contains six core pieces of information: project name, equipment type, equipment number, reporting time, GPS location, and user ID. It covers scenarios such as the actual completion of the process, equipment appearance, shipping documents, and signed receipts, ensuring the authenticity and immutability of the data from a technical perspective. 10) Risk warning: A graded reminder mechanism based on process-level progress deviation calculation is divided into yellow and red levels according to "warning threshold - severe warning threshold". The warning is pushed to multiple channels such as mini-programs and SMS, and is accompanied by a closed-loop management process with 24-hour processing and 48-hour escalation to achieve early risk handling. 11) Four-party collaboration: refers to the collaborative management model based on a unified system among the owner, general contractor, supplier, and supervision unit, which assigns fine-grained permissions (viewing / filling in / approving, etc.) according to roles, so as to realize the online flow and full traceability of progress data, delivery reminders, and acceptance records, and eliminate information barriers; 12) Data assets: Reusable resources accumulated during system operation, including standardized process templates, high-risk equipment overdue cases, supplier performance data, etc., which support keyword retrieval by project type, equipment type, etc., which can greatly reduce repetitive work in new projects and improve management efficiency; 13) Process-level deviation: The difference between the actual (completed process) or expected (uncompleted process) production process of a single piece of equipment and the standard process is the core calculation basis for risk warning. The overall progress deviation of the equipment can be further obtained by weighted averaging. 14) Responsive layout: Web interface adaptation technology can automatically adjust the layout according to the screen resolution of different terminals such as PCs and tablets, ensuring that management users can have a consistent browsing and operation experience on different devices, and improving management convenience.

[0022] In related technologies, with the deepening of industrial digitalization, the energy industry's supply chain management is undergoing a profound transformation. Its core objective is to shift from traditional, extensive management relying on manual labor and static forms to refined and intelligent control based on real-time data and visual monitoring. This transformation places particularly high demands on the procurement and delivery management of critical equipment, whose success depends on transparent and coherent tracking and collaboration throughout the entire lifecycle of equipment, from manufacturing and supervision to logistics and on-site delivery. This requires support from a corresponding technological system, including real-time automatic data collection from the field, refined progress control covering specific manufacturing processes, breaking down information barriers between stakeholders, proactive risk warnings based on schedule deviations, and comprehensive visualization of the entire supply chain status. However, currently widely used supply chain management systems often struggle to meet the complex processes and long-cycle management characteristics of energy industry equipment, while some specialized tools suffer from data silos and slow risk response. Therefore, the industry urgently needs to build a dedicated digital solution that deeply integrates with business characteristics, enabling integrated management of the entire process and proactive decision support.

[0023] In view of this, this application provides a method for managing the expedited delivery of equipment in the energy industry, which can improve the controllability and response efficiency of the equipment delivery process.

[0024] The equipment procurement and delivery management method for the energy industry provided in this application relates to the field of information management technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the equipment procurement and delivery management method for the energy industry, but is not limited to the above forms.

[0025] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics devices, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0026] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0027] like Figure 1 The diagram shown is a schematic representation of an implementation environment provided in an embodiment of this application. (Refer to...) Figure 1 The implementation environment includes at least one terminal 102 and a server 101. The terminal 102 and the server 101 can be connected via a network, either wirelessly or via a wired connection, to complete data transmission and exchange.

[0028] Server 101 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0029] Additionally, server 101 can also be a node server in a blockchain network. Blockchain is a novel application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms.

[0030] Terminal 102 can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. Terminal 102 and server 101 can be directly or indirectly connected via wired or wireless communication, and this embodiment of the application does not impose any limitations.

[0031] For example, based on Figure 1 The implementation environment shown in this application embodiment provides a method for managing the expedited delivery of equipment procurement in the energy industry. The following description uses the application of this method in server 101 as an example. It can be understood that this method can also be applied to terminal 102.

[0032] Figure 2 This is an optional flowchart of an equipment procurement expediting management method for the energy industry provided in this application embodiment. The executing entity of this equipment procurement expediting management method for the energy industry can be any of the aforementioned electronic devices (including servers or terminals). Figure 2 The method may include, but is not limited to, steps S201 to S204.

[0033] Step S201: Obtain production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry.

[0034] In some embodiments, the system serves as the entry point for direct interaction between the system and users, and is divided into a dual-terminal collaboration between WeChat Mini Programs and web pages. The WeChat Mini Program focuses on lightweight operations for frontline personnel, such as project completion engineers, supervisors, and suppliers. Core functions include project association, equipment progress reporting, uploading on-site photos, receiving early warning messages, and viewing logistics tracks. It supports offline caching and automatic online synchronization, adapting to complex network environments within the factory. The web page targets management users, providing multi-dimensional data dashboard visualization, centralized risk warning management, user permission configuration, process template maintenance, report export, and data dashboard display. It supports responsive layouts and is compatible with PCs and tablets. Management users include general contractors, owners, and system administrators.

[0035] As an optional implementation, the energy equipment process library module serves as the data core of the entire system, its fundamental function being to provide standardized benchmarks for progress control and risk warning throughout the entire process. This module deeply integrates typical equipment process data from multiple key sub-sectors of the energy industry. For example, for wind power equipment, it defines in detail the complete process sequence from hub placement to full-power testing, covering key manufacturing stages such as tower rolling, sandblasting for corrosion protection, and monopile circumferential welding. For coal-fired and gas turbine equipment, it includes standard timelines and risk thresholds for core processes such as boiler drum placement, heating surface installation, gas turbine module hoisting, and waste heat boiler assembly. Furthermore, the module design boasts high scalability and flexibility, allowing users to add types such as energy storage devices or transformers according to actual needs, and fully supports customized configuration of process composition, standard timelines, graded risk thresholds, and key quality control points such as the requirement to photograph welding. At the technical implementation level, the module uses a relational database to structurally store process data, ensuring data integrity and consistency through a correlation model between equipment type and process information. Meanwhile, the system provides a convenient visual web page editing tool, allowing users to adjust process flows through intuitive drag-and-drop operations, and supports batch import and export of template data as well as version management. When a user selects a specific device in the system, the system will automatically match and load the corresponding standard process template based on the device type, achieving seamless integration and intelligent support for business operations.

[0036] In some embodiments, process reporting information and on-site image data reported by a user-authorized mobile terminal are received through a preset user port; a watermark containing project identifier, equipment identifier, timestamp and geographic location information is automatically added to the on-site image data, and the logical consistency between the watermark information and the reporting information is verified; the verified process reporting information and the watermarked on-site image data are associated and encrypted and stored as part of the production progress data.

[0037] It operates using smartphones carried by personnel responsible for delivery supervision, manufacturing oversight, and supplier oversight. These devices must be capable of running pre-defined user ports, such as WeChat mini-programs, and equipped with cameras that meet on-site photography requirements and GPS modules supporting location services. They must also be compatible with both mobile and wireless networks to ensure stable connectivity. This system not only strengthens data anti-counterfeiting capabilities and credibility through watermarking and consistency verification, but also enhances data security and traceability efficiency through associated encrypted storage, ultimately providing a solid data foundation for accurate monitoring and management decisions regarding production progress.

[0038] Furthermore, the system receives user requests for authorized login via device identifiers and verifies the binding relationship between the device identifier and at least one authorized project identifier. In response to user input, it displays a standard process template matching the target device type. It receives user selections and time entries for completed processes within the standard process templates and, for specific key processes, receives uploaded on-site image data. Upon login, users can quickly verify their identity using the WeChat mini-program's one-click authorization function with their mobile phone number. The system automatically verifies the mobile phone number against the project permissions pre-assigned by the administrator, ensuring that users can only access their authorized project data. After successful verification, the login status will be effectively cached for a certain period, simplifying repeated login operations.

[0039] After logging into the system, users first select a target project from the list of authorized projects. The system then dynamically loads a list of equipment to be reported under that project. Once the user selects specific equipment, the system automatically matches and presents the corresponding standard process template based on the equipment type, clearly listing the name of each process and its estimated duration. In the progress reporting stage, users update the progress by checking completed processes, entering the actual start and finish times, selecting the production status, and adding necessary textual notes. For critical quality control points such as welding and acceptance, the system mandates on-site photo documentation. During photo taking, the program uses the phone's camera and supports selecting photos from the album, but it performs a secondary verification of the photo's location to ensure authenticity. All uploaded photos are automatically watermarked with anti-tampering information including the project, equipment, time, location, and operator. Before submission, the system automatically verifies logical rules, such as the completion time not being earlier than the start time and the requirement to upload photos for critical processes. Only after successful verification is the data allowed to be submitted. The submitted data is synchronized to the cloud business database in real time through an encrypted interface, and the cached project progress snapshot is refreshed, ensuring that the reminder board on the web can be updated synchronously in a very short time, thereby realizing instant linkage between on-site dynamics and the management backend.

[0040] Precise access control was achieved by binding equipment identification to projects in advance. The matching of standard process templates ensured the standardization and uniformity of the information entered. Furthermore, the image recording of key processes enhanced the verifiability of on-site progress and the traceability of the process, thereby improving the overall reliability, standardization, and transparency of progress data collection.

[0041] In other embodiments, based on the shipment information of the target device, the application programming interface of a third-party platform is invoked to obtain the real-time trajectory information of the target device during transportation; the transportation process includes sea transportation or land transportation of large items; the real-time trajectory information is compared with the preset transportation plan route; when the comparison result exceeds the preset deviation threshold, a transportation anomaly alert is triggered, and the real-time trajectory information is associated with the anomaly status as part of the transportation status data.

[0042] Based on the confirmed shipping information of the target equipment, the system continuously acquires real-time trajectory information of the equipment during sea or land transportation of large items by calling the application programming interface (API) agreed upon with the third-party logistics platform. This API serves as a standardized data channel between the electronic device and external services, enabling automatic acquisition and exchange of information across platforms. Subsequently, the electronic device automatically compares and analyzes the acquired real-time trajectory data against a pre-defined standard transportation plan route. When the algorithm identifies a deviation between the actual trajectory and the planned route exceeding a preset deviation threshold, a transportation anomaly alert mechanism is automatically triggered. The real-time trajectory information at this time is then associated and bound with this anomaly status, and both are integrated and recorded as an important component of the transportation status data.

[0043] The automated invocation of external interfaces enables visualized monitoring of the transportation process, and the use of intelligent comparison and threshold judgment enables real-time perception and early warning of transportation deviation risks. Its beneficial effect is that it significantly enhances the transparency and controllability of the supply chain logistics links, enabling managers to proactively grasp anomalies in transit and intervene in a timely manner to ensure the timeliness and safety of large equipment transportation.

[0044] Figure 3 This is a flowchart of the equipment progress reporting process in one embodiment, such as... Figure 3As shown, after logging in with WeChat mobile phone number authorization and project ID, the user selects the authorized project, loads the equipment list grouped by type under the project, selects specific equipment and suppliers, and the system automatically loads the corresponding process template. Then, the user checks the completed process, fills in the start and end time and production status. If the current process is a non-critical control point, the user can choose to upload a photo. If it is a critical control point, the user must first take a photo and upload it (automatically adding a watermark) and verify the photo (GPS location and watermark integrity). After the verification is passed, all cases must undergo pre-submission data verification (time logic and required fields). If the verification is successful, the data is encrypted and transmitted to the cloud database, and the Redis cache is updated to synchronize the web-based dashboard. Finally, a filling record is generated, including operation logs and data snapshots. If the verification fails at any stage, an error will be prompted and the user will be returned for modification.

[0045] Step S202: Based on the type of the target equipment, retrieve the standard process template corresponding to the equipment type from the pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard construction period and risk threshold.

[0046] In some embodiments, a smart matching mechanism precisely retrieves corresponding standard process templates from a pre-built energy industry-specific process library. This process library, as the core carrier of domain knowledge, systematically integrates standardized manufacturing processes for various typical equipment such as wind power and gas turbines. The retrieved standard process template is essentially a digital blueprint for the equipment manufacturing process, clearly defining at least one critical process that must be performed from start to finish, and pre-setting quantified standard lead times and early warning thresholds and severe early warning thresholds for each process for risk assessment.

[0047] Step S203: Calculate the progress deviation of at least one current process in the target equipment based on the production progress data.

[0048] In some embodiments, based on real-time collected and integrated production progress data, schedule deviation calculations are performed on at least one critical process currently in progress on the target equipment. That is, the actual start and finish times recorded in the process reporting information are precisely compared with the standard duration retrieved from a standard process template. The deviation between actual progress and the planned baseline is quantified by calculating the time difference. This quantification result is defined as the schedule deviation. The calculation of schedule deviation not only reveals whether the process execution is behind schedule or ahead of schedule, but also provides an objective basis for process monitoring through standardized measurement methods.

[0049] As an optional implementation, for completed processes, the actual duration is calculated based on the actual start and end times in the production progress data, and the deviation is calculated compared with the standard duration in the process library; for incomplete processes, the estimated completion time is calculated based on the current time, process start time, and standard duration, and the estimated deviation is calculated compared with the standard duration; the overall progress deviation of the target equipment is calculated according to the deviation value of each process and its weight in the standard duration.

[0050] For completed processes, the actual execution time is calculated based on the actual start and end times recorded in the production schedule data. This actual execution time is then compared with the preset standard execution time extracted from the process library to obtain a specific schedule deviation value. This deviation directly reflects the time difference between the actual execution and the planned baseline. For processes that are not yet completed, the estimated completion time is calculated using an algorithm based on the current time, the recorded start time of the process, and its standard execution time. This estimated completion time is then compared with the standard execution time to generate an estimated deviation, thereby predicting the future progress of processes in progress. Furthermore, the deviation data of all processes are integrated, and a weighted calculation is performed based on the relative weights of the standard execution times of each process. Finally, the overall schedule deviation of the target equipment is calculated.

[0051] By distinguishing between completed and in-process status, it enables refined assessment and forward-looking prediction of progress. Its beneficial effect is that it provides a comprehensive progress insight from micro-process to macro-equipment level, which not only helps managers accurately identify current delays, but also provides early warning of potential risks, providing quantitative decision-making basis for resource coordination and schedule optimization, thereby improving the controllability and responsiveness of the entire manufacturing process.

[0052] Step S204: If it is determined that the schedule deviation exceeds the preset risk threshold, then a graded early warning message is generated and pushed based on the type and severity of the schedule deviation.

[0053] In some embodiments, when the electronic device determines that the schedule deviation of the target equipment exceeds a pre-set risk threshold, it automatically triggers an early warning generation mechanism. This mechanism first intelligently analyzes the deviation, classifying it into different types based on its nature, such as schedule delays or work ahead of schedule. It then further assesses the severity level based on the deviation's magnitude relative to the threshold. Based on this analysis, the electronic device can dynamically generate early warning information corresponding to different levels and push it to predefined responsible personnel through an integrated messaging channel. The core of this approach is to transform a single deviation exceeding the threshold event into a tiered notification with clear direction and varying degrees of urgency.

[0054] As an optional implementation, a multi-level threshold system is set, including a warning threshold and a severe warning threshold. Based on the comparison results between the progress deviation and the multi-level thresholds, the warning level is divided into a yellow warning or a red warning. For different warning levels, a warning notification containing equipment information, deviation details, and handling suggestions is generated and pushed to the responsible persons at different levels associated with the equipment through preset user port messages and / or SMS. A closed loop for warning handling is established to track the input of warning handling measures and subsequent progress changes, and the warning is automatically upgraded if it is not handled within a preset time.

[0055] Electronic devices may include a risk warning module. As the core of the business application layer, the stable and efficient operation of this module relies on a high-performance elastic server cluster deployed on Alibaba Cloud. Sufficient computing power and storage resources ensure the real-time performance of warning calculations and information pushes in high-concurrency scenarios. The module's core logic begins with data acquisition. The system retrieves the latest progress data of equipment processes from the MySQL business database at a real-time or near-real-time frequency through structured queries. Based on this real-time data and the standard duration in the process library, the module uses a preset algorithm to calculate the progress deviation value for each process—for completed processes, the deviation is the difference between the actual duration and the standard duration; for incomplete processes, the expected deviation is calculated based on the current time and the start time.

[0056] Simultaneously, the electronic equipment comprehensively analyzes deviations across all processes, calculating the overall progress deviation based on process weights. The module then compares the individual process deviations with the overall equipment deviation against pre-set warning and severe warning thresholds to automatically determine the warning level and trigger corresponding processes: a yellow warning is generated if the deviation exceeds the warning threshold, and a red warning is generated if it exceeds a higher-level severe warning threshold or the equipment is in an abnormal shutdown state. For each warning, a complete notification is automatically generated, including specific equipment information, deviation details, and handling suggestions based on a historical case database. This notification is then pushed to responsible personnel at different levels via various channels such as mini-program messages and SMS, ensuring accurate information delivery. All warning records are fully archived, supporting multi-dimensional retrieval and traceability. To form a closed-loop management system, the module also establishes a warning tracking mechanism, urging responsible personnel to input handling measures within a specified time and continuously monitor subsequent progress. If a warning is not addressed within the specified time or the deviation is not improved, the system will automatically escalate the warning level, thus constructing a complete dynamic control loop from risk identification, tiered push, tracking and handling to automatic escalation, significantly improving the initiative and efficiency of risk response.

[0057] Figure 4 This is a flowchart illustrating the risk warning logic in one embodiment, such as... Figure 4As shown, based on the standard duration and warning values ​​of the processes in the process library, as well as the equipment process progress and production status data in the business database, the system extracts equipment progress and status data through scheduled tasks (by default, every hour). Then, it calculates the deviation of a single process or the overall deviation of the equipment using a weighted algorithm. Next, it determines whether the deviation value exceeds the threshold. If it does not exceed the threshold, it is marked as green and the progress snapshot is updated. If it exceeds the threshold, it is further determined whether it seriously exceeds the warning value. If it does not seriously exceed the threshold, it is marked as yellow and a warning notification is generated and pushed to the construction engineer and project manager. If it seriously exceeds the threshold, it is marked as red and a warning notification is generated and pushed to the construction engineer, project manager, purchasing director, and supplier. Afterward, the user views the notification and enters the handling measures. The system tracks the subsequent changes in progress deviation and then determines whether the deviation has fallen back to within the warning threshold. If it does, the warning is automatically closed and the record is archived. Otherwise, it determines whether the unprocessed time exceeds 48 hours. If it does, the warning is upgraded and pushed.

[0058] In some embodiments, the logistics tracking module, as another core component of the business application layer, aims to meet the special transportation management needs of large equipment in the energy industry. It achieves full-process visualized tracking and status control from factory shipment to on-site receipt through digital means, effectively solving the pain points of opaque information and difficulty in monitoring status in traditional transportation processes. The module's operation begins with the expediting engineer entering complete shipping information via a mini-program, including transportation mode, vehicle number, equipment list, and shipping document photos. The electronic device automatically establishes a connection between the transportation task, project, and equipment. During trajectory tracking, the module intelligently connects to different data sources based on the transportation mode: for sea transport, it obtains real-time dynamic data such as ship position and speed by calling the ship's AIS system application interface; for land transport, it connects to the GPS platform interface to obtain the vehicle's real-time location and status. For individual transportation vehicles that cannot be directly connected, the system supports manual reporting of location information by transportation personnel, supplemented by photo and location verification to ensure data authenticity. All acquired trajectory data is visually rendered on an electronic map on the web interface, clearly distinguishing between sections already traveled, en route, and not yet traveled using different colors. Users can click on icons to view detailed information about the transport vehicle, its equipment, and estimated arrival time. The module also incorporates intelligent anomaly monitoring rules. When situations such as trajectory deviation from the planned route, significant delays in estimated arrival time, or abnormally long-term vehicle stops are detected, an alert will be automatically triggered and the relevant responsible parties will be notified. At the transport destination, on-site personnel can upload a receipt via a mini-program. The system will then update the equipment status to "received" and automatically archive all transport and receipt documents, forming a complete and traceable closed-loop logistics management system.

[0059] In other embodiments, in response to a data display request from the management end, a visual reminder dashboard is generated and displayed on the web page based on production progress data and transportation status data. The reminder dashboard supports multi-perspective statistical analysis of equipment delivery progress, warning distribution, and transportation status by project dimension, equipment type dimension, or supplier dimension.

[0060] To ensure smooth operation, users need to access the platform via a compliant personal computer and a stable network. A series of multi-dimensional, visual dashboards provide clear and intuitive management views for users at different levels. For example, the project overview dashboard displays key delivery metrics for all projects in chart form; the equipment details dashboard provides in-depth information on the real-time progress, status, and details of each piece of equipment within a single project; the supplier dashboard focuses on statistical analysis of each supplier's performance; and the data dashboard, designed specifically for meeting scenarios, refreshes core dynamics in full screen. In terms of collaborative management, the module has a built-in, sophisticated permission hierarchy system, ensuring that different roles such as owners, general contractors, suppliers, and system administrators can perform their respective duties and collaborate efficiently within a unified platform. This achieves both transparent information sharing and strict differentiation of access permissions for viewing, filling out forms, approving, and system management. Furthermore, the module supports exporting various progress and warning data into standard-format reports for easy offline reporting and archiving. More importantly, the system continuously and automatically accumulates data such as process templates, early warning cases, and supplier performance during operation, forming a searchable and reusable data asset library. This transforms project operation experience into organizational knowledge for sustainable optimization, providing valuable historical references for future decision-making and risk management.

[0061] Steps S201 to S204 as shown in this embodiment involve acquiring production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry; based on the type of the target equipment, a standard process template corresponding to the equipment type is retrieved from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard duration and risk threshold; based on the production progress data, the progress deviation of at least one current process in the target equipment is calculated; if it is determined that the progress deviation exceeds the preset risk threshold, a graded early warning information is generated and pushed based on the type and severity of the progress deviation. Based on the specific type of equipment, the system matches and calls corresponding standard process templates from a pre-built energy industry-specific process library. By comparing the actual production progress with the standard schedule in the template, the system can dynamically calculate the progress deviation of the current process. Once the deviation exceeds the preset risk threshold, it will automatically generate differentiated graded early warning information based on the nature and extent of the deviation and promptly push it to relevant personnel. The establishment of the dedicated process library reflects a deep integration with the process characteristics of the energy industry. The standard process templates provide a standardized benchmark for reference, while the graded early warning mechanism based on deviation analysis and threshold judgment enables early identification and early warning of production and transportation risks, thereby improving the controllability and response efficiency of the equipment delivery process.

[0062] Please see Figure 5 This application also provides an equipment procurement expediting management device for the energy industry, which can implement the above-mentioned method. The device includes: Data acquisition module 501 is used to acquire production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry. The template retrieval module 502 is used to retrieve a standard process template corresponding to the type of target equipment from a pre-set energy industry-specific process library. The standard process template includes at least one process and its corresponding standard construction period and risk threshold. Deviation calculation module 503 is used to calculate the progress deviation of at least one current process in the target equipment based on production progress data; The early warning push module 504 is used to generate and push graded early warning information based on the type and severity of the progress deviation if it is determined that the progress deviation exceeds the preset risk threshold.

[0063] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0064] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0065] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0066] Please see Figure 6 , Figure 6 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 601 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 602 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 602 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 602 and is called and executed by the processor 601 using the methods described in the embodiments of this application. The input / output interface 603 is used to implement information input and output; The communication interface 604 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 605 transmits information between various components of the device (e.g., processor 601, memory 602, input / output interface 603, and communication interface 604); The processor 601, memory 602, input / output interface 603, and communication interface 604 are connected to each other within the device via bus 605.

[0067] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0068] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0069] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0070] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0071] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0072] The equipment procurement expediting management method, device, electronic equipment, storage medium, and program product provided in this application for the energy industry acquires production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry; based on the type of the target equipment, a standard process template corresponding to the equipment type is retrieved from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard duration and risk threshold; based on the production progress data, the progress deviation of at least one current process in the target equipment is calculated; if it is determined that the progress deviation exceeds the preset risk threshold, a graded early warning information is generated and pushed based on the type and severity of the progress deviation, which can improve the controllability and response efficiency of the equipment delivery process.

[0073] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0074] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0075] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0076] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0077] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0078] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0079] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0080] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0081] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0082] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0083] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for managing the expedited delivery of equipment procurement in the energy industry, characterized in that, The method includes the following steps: Acquire production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry. Based on the type of the target equipment, a standard process template corresponding to the equipment type is retrieved from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard construction period and risk threshold. Based on the production progress data, calculate the progress deviation of at least one current process in the target equipment; If the schedule deviation is determined to exceed the preset risk threshold, a graded early warning message is generated and pushed based on the type and severity of the schedule deviation.

2. The method according to claim 1, characterized in that, The acquisition of production progress data and transportation status data of the target equipment includes: The system receives process information and on-site image data reported by user-authorized mobile terminals through a preset user port. The system automatically adds a watermark containing project identifier, equipment identifier, timestamp, and geographic location information to the on-site image data and verifies the logical consistency between the watermark information and the information entered. The verified process information is associated with and encrypted with watermarked on-site image data, and stored as part of the production progress data.

3. The method according to claim 2, characterized in that, The process reporting information and on-site image data reported by the user-authorized mobile terminal through the preset user port includes: Receive a user's request to authorize login via device identifier, and verify the binding relationship between the device identifier and at least one authorized item identifier; In response to the user's input, the standard process template matching the target equipment type is displayed; The system receives the user's selection of completed processes and time entries in the standard process template, and receives uploaded on-site image data for specific key processes.

4. The method according to claim 1, characterized in that, The acquisition of production progress data and transportation status data of the target equipment includes: Based on the shipping information of the target equipment, the application programming interface of a third-party platform is invoked to obtain the real-time trajectory information of the target equipment during transportation; the transportation process includes sea freight or land transportation of large items; The real-time trajectory information is compared with the preset transportation plan route; When the comparison result exceeds the preset deviation threshold, a transportation anomaly alert is triggered, and the real-time trajectory information is associated with the anomaly status as part of the transportation status data.

5. The method according to any one of claims 1 to 4, characterized in that, The step of calculating the progress deviation of at least one current process in the target equipment based on the production progress data includes: For completed processes, the actual duration is calculated based on the actual start and end times in the production progress data, and the deviation is calculated between the actual duration and the standard duration in the process library. For incomplete processes, the estimated completion time is calculated based on the current time, the process start time, and the standard duration, and the estimated deviation is calculated from the standard duration. The overall schedule deviation of the target equipment is calculated based on the deviation value of each process and its weight in the standard duration.

6. The method according to any one of claims 1 to 4, characterized in that, The generation and push of tiered early warning information based on the type and severity of the progress deviation includes: Set a multi-level threshold including a warning threshold and a severe warning threshold; based on the comparison result between the progress deviation and the multi-level threshold, classify the warning level into a yellow warning or a red warning; For different warning levels, generate warning notifications containing device information, deviation details and handling suggestions, and push them to the responsible persons at different levels associated with the device through the preset user port messages and / or SMS. Establish a closed-loop system for early warning processing, track the input of early warning processing measures and subsequent progress changes, and automatically escalate the early warning if it is not processed within a preset time.

7. The method according to any one of claims 1 to 4, characterized in that, The method further includes: In response to the data display request from the management end, a visual reminder dashboard is generated and displayed on the web page based on the production progress data and transportation status data. The reminder dashboard supports multi-perspective statistical analysis of equipment delivery progress, warning distribution, and transportation status by project dimension, equipment type dimension, or supplier dimension.

8. A device for managing the expedited delivery of equipment purchases in the energy industry, characterized in that, The device includes: The data acquisition module is used to acquire production progress data and transportation status data of the target equipment; the target equipment belongs to the energy industry. The template retrieval module is used to retrieve a standard process template corresponding to the type of the target equipment from a pre-set energy industry-specific process library; the standard process template includes at least one process and its corresponding standard construction period and risk threshold; The deviation calculation module is used to calculate the progress deviation of at least one current process in the target equipment based on the production progress data. The early warning push module is used to generate and push graded early warning information based on the type and severity of the progress deviation if it is determined that the progress deviation exceeds the preset risk threshold.

9. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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