A method, system, medium, and procedure product for monitoring the implementation of an industrial project.

Abstract

A method, system, medium, and program product for supervising the implementation of industrial projects, relating to the field of internet data services, is disclosed. The method includes: identifying related projects corresponding to the new project based on the project data; monitoring the progress of the new project's process in real time to determine its approval efficiency; when the approval efficiency is lower than a preset efficiency threshold, determining the current process of the new project and the related processes of the corresponding related projects; generating an approval delay report when the approval confirmation time of the current process exceeds the historical approval time of the related processes; and sending the approval delay report to the user terminal. Implementing this method can improve the efficiency of project approval processing.

Description

Technical Field

[0001] This application relates to the field of Internet data services, and in particular to a method, system, medium, and program product for supervising the implementation of industrial projects. Background Technology

[0002] With the acceleration of urbanization and rapid economic and social development, urban project construction plays a vital role in promoting regional development and enhancing urban functions. For key projects involving land acquisition or planning approval, the implementation often requires the coordinated efforts of multiple departments.

[0003] Related technologies have been used to develop a project management system, which includes basic project information management and progress tracking functions. Users can enter project information or update project progress within the system. Regarding the approval process, the system enables online workflow, allowing approvers to view materials and fill in approval comments online.

[0004] However, the project management methods of related technologies involve multiple approval nodes, and at each node, there is a possibility of delays in the approval process, resulting in a slow progress in project approval. Summary of the Invention

[0005] This application provides a method, system, medium, and procedure product for supervising the implementation of industrial projects, which can improve the efficiency of project approval and processing.

[0006] Firstly, this application provides a method for supervising the implementation of industrial projects, applied to a supervision system. The method includes: determining related projects corresponding to the new project based on the project data of the new project; monitoring the progress of the new project in real time and determining the approval efficiency of the new project; when the approval efficiency is lower than a preset efficiency threshold, determining the current process of the new project and the related processes of the related projects corresponding to the current process; generating an approval delay report when the approval confirmation time of the current process exceeds the historical approval time of the related processes; and sending the approval delay report to the user terminal.

[0007] In the above embodiments, the monitoring system achieves real-time monitoring and early warning of the approval progress of new projects by identifying related projects, monitoring approval efficiency, comparing approval times, and generating delay reports.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, based on the project data of the newly created project, related projects corresponding to the newly created project are determined, specifically including: based on the project data of the newly created project, determining project characteristics including project type, land area, construction scale, investment amount and geographical location; based on the project characteristics, determining the similarity scores between multiple historical projects and the newly created project; and selecting historical projects with similarity scores higher than a preset similarity threshold as related projects.

[0009] In the above embodiments, the monitoring system analyzes project characteristics, calculates similarity scores, and filters related projects to achieve accurate matching of newly created projects and find the most similar historical projects as references, thereby improving the targeting and accuracy of monitoring.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, when the approval confirmation time of the current process exceeds the historical approval time of the related process, an approval delay report is generated. Specifically, this includes: when the approval confirmation time of the current process exceeds the historical approval time of the related process, obtaining the historical approval opinions of the related process; determining the cause analysis of the delay and suggested solutions based on the process feature data of the current process and the historical approval opinions; and generating an approval delay report based on the cause analysis of the delay and suggested solutions.

[0011] In the above embodiments, the regulatory system achieves in-depth diagnosis of approval delay problems by obtaining historical approval opinions, analyzing the reasons for delays and proposing solutions. It summarizes patterns from historical experience and provides targeted improvement suggestions for current projects, which helps to improve approval efficiency and optimize the approval process.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, after the steps of real-time monitoring of the process progress of newly created projects and determining the approval efficiency of newly created projects, the method further includes: in response to a project query request from a user terminal, sending a project display map including project information of multiple projects to the user terminal; in response to a user terminal's selection operation for a target project in the project display map, sending the target project data and target process progress of the corresponding target project to the user terminal; and in response to a user terminal's process reminder operation for the target project, sending approval prompt information to the business personnel terminal corresponding to the current process of the target project.

[0013] In the above embodiments, the monitoring system realizes the visualization and interactive management of project information through project display maps, target project queries, and approval reminder functions, providing users with an intuitive project monitoring interface, which helps to improve the efficiency of monitoring and user experience.

[0014] In conjunction with some embodiments of the first aspect, in some embodiments, before the step of sending a project display map including project information of multiple projects to the user terminal in response to a project query request from the user terminal, the method further includes: obtaining the identity information of the user terminal, determining the user permissions corresponding to the identity information; and determining multiple projects corresponding to the user permissions based on the user permissions.

[0015] In the above embodiments, the monitoring system achieves fine-grained control over access to project information through identity verification and access control, ensuring the security of sensitive information, while providing personalized project views for different users, thus improving the security and usability of the system.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of sending the approval delay report to the user terminal, the method further includes: obtaining a project display map of the area where the new project is located; updating the project information of the new project to the geographic location module corresponding to the project display map; binding a layer management component to the geographic location module corresponding to the new project to display the data and set the attributes of the new project; and updating the component parameters of the layer management component based on the parameter setting operation of the user terminal.

[0017] In the above embodiments, the monitoring system realizes dynamic display and flexible configuration of project information through map updates, layer management and parameter settings, providing users with rich visualization tools and customization options, which is conducive to improving the depth of data analysis and the flexibility of supervision.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of updating the component parameters of the layer management component based on the parameter setting operation of the user terminal, the method further includes: generating regional analysis results of the area where the new project is located based on the project display map; generating a project development trend report based on the regional analysis results and the monitored progress of the new project; and generating a project score based on the project development trend report and multi-source data from an external data system.

[0019] In the above embodiments, the monitoring system achieves a comprehensive assessment of project development through regional analysis, trend reports, and project scoring, providing decision-makers with an analytical perspective that combines macro and micro levels, which helps to formulate more scientific and reasonable project planning and management strategies.

[0020] In a second aspect, embodiments of this application provide a monitoring system comprising: one or more processors and a memory; the memory is coupled to the one or more processors and is used to store computer program code, the computer program code including computer instructions, wherein the one or more processors invoke the computer instructions to cause the monitoring system to perform the methods described in the first aspect and any possible implementation thereof.

[0021] Thirdly, embodiments of this application provide a computer program product containing instructions that, when the computer program product is run on a monitoring system, cause the monitoring system to execute the method described in the first aspect and any possible implementation thereof.

[0022] Fourthly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a monitoring system, cause the monitoring system to perform the method described in the first aspect and any possible implementation thereof.

[0023] Understandably, the monitoring system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the methods provided in the embodiments of this application. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0025] 1. By employing an approval efficiency monitoring and delay report generation mechanism based on related projects, the system can track the approval progress of new projects in real time. By comparing the historical approval times of related projects, the monitoring system can accurately determine whether there are any abnormal delays in the current approval process and generate a delay report. This effectively solves the problem of insufficient precise monitoring and early warning of project approval progress in related technologies, reduces unnecessary delays, and improves project approval efficiency.

[0026] 2. By employing interactive features such as project display maps, target project queries, and approval reminders, the system provides users with an intuitive and convenient project monitoring interface, enabling visualized display and real-time interaction of project information. Users can quickly locate and view projects via the map, obtain project data and progress information, and send approval reminders for specific projects. This effectively solves the problems of unintuitive project information display, inconvenient querying, and communication difficulties in related technologies, thus improving the user experience.

[0027] 3. Thanks to the adoption of map-based dynamic project information updates, layer management, and parameter setting functions, flexible display and personalized configuration of project data are achieved. The monitoring system can update new project information onto the map in real time and display and set attributes through the layer management component. Users can also customize component parameters according to their needs. This effectively solves the problems of insufficient dynamism and low visualization in related technologies, achieving intuitive data display. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating an implementation and supervision method for industrial projects in this application.

[0029] Figure 2 This is another flowchart illustrating the implementation and supervision method for industrial projects in this application embodiment;

[0030] Figure 3This is a schematic diagram of the physical device structure of the monitoring system in the embodiments of this application. Detailed Implementation

[0031] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification of this application, the singular expressions “a,” “an,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0032] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0033] To facilitate understanding, the application scenarios of the embodiments of this application are described below.

[0034] In a rapidly developing coastal city, relevant departments plan to implement N major industrial projects over the next five years, covering multiple fields such as new energy, high-end manufacturing, and biomedicine. However, with the increasing number and complexity of projects, traditional project management methods are proving inadequate. Lengthy project approval processes and difficulties in cross-departmental coordination have led to significant delays in several projects. Relevant departments need an efficient and intelligent industrial project implementation monitoring system to improve project approval efficiency and ensure the timely implementation of major projects.

[0035] In related technologies, basic information management and approval processes for industrial projects can be implemented by adopting basic project management systems and online approval processes.

[0036] The following describes scenarios for implementing and supervising industrial projects using relevant technologies.

[0037] The relevant departments used a traditional project management system to handle these N major industrial projects. The system had basic project information entry and progress tracking functions, and the approval process was also streamlined online. However, in actual operation, the system revealed numerous problems. When processing a chemical industrial park project, the system failed to detect approval delays, causing the project to stall for three months during the environmental impact assessment phase. Relevant personnel only became aware of this situation when the problem became severe.

[0038] The implementation and supervision method for industrial projects in this application, through intelligent project matching and real-time approval efficiency monitoring, realizes intelligent management of the entire project lifecycle, which not only improves approval efficiency but also provides decision-makers with a more comprehensive project display.

[0039] The following describes a scenario in which the implementation and supervision methods for industrial projects in this application were used.

[0040] Relevant departments have adopted the implementation and supervision methods for industrial projects outlined in this application. When handling multiple major industrial projects, the system first matches the most similar historical projects as a reference based on the characteristics of each new project. For example, for a new semiconductor manufacturing plant project, the system quickly identifies three similar completed projects, providing a benchmark for assessing approval efficiency. The system monitors the progress of each project in real time. When it detects that the land approval process for a semiconductor project exceeds the expected time by 20%, it immediately generates an approval delay report and pushes it to the relevant department head. Simultaneously, the system analyzes approval opinions from historical projects, providing suggestions for resolving current delays. Project managers can visually view the distribution and status of all projects on an interactive map and adjust the data display as needed. Through these functions, the overall approval time for semiconductor projects has been shortened compared to expectations, accelerating project implementation.

[0041] It is evident that the industrial project implementation and supervision method described in this application not only achieves efficient project management but also effectively solves problems such as information silos and insufficient analytical capabilities in traditional systems, thereby realizing intelligent and refined project management.

[0042] To facilitate understanding, the method provided in this implementation will be described in detail below, using the above scenario as an example. Please refer to [link / reference]. Figure 1 This is a flowchart illustrating an implementation and supervision method for industrial projects in this application.

[0043] S101. Based on the project data of the newly created project, determine the associated projects corresponding to the newly created project.

[0044] New projects refer to industrial projects that are currently under approval or about to be approved. Project data represents various information related to new projects, including but not limited to project type, land area, construction scale, investment amount, and geographical location. Related projects refer to historical projects with similar characteristics or attributes to new projects, used as benchmarks for reference and comparison.

[0045] Upon receiving an application for a new project or project information submitted by relevant departments, the monitoring system identifies related historical projects to facilitate subsequent evaluation and comparison of approval efficiency. Specifically, the system first analyzes the project data of the new project to extract key features; then, it searches the historical project database for projects with similar features; finally, it selects the most relevant project as the associated project based on a similarity score.

[0046] In some embodiments, the determination of associated projects can be achieved in several ways: Optionally, the monitoring system can employ machine learning algorithms, such as cluster analysis or similarity calculation, to classify and match historical projects. First, the system vectorizes the features of new projects; then, it uses algorithms such as cosine similarity to calculate the similarity between new projects and historical projects; finally, it selects the projects with the highest similarity as associated projects. Optionally, the monitoring system can establish a multi-level screening mechanism. First, it performs preliminary screening based on project type; second, it further narrows down the scope according to investment scale and geographical location; finally, it determines the final set of associated projects by combining detailed indicators such as land area and construction scale. It is understood that other methods can also be used to determine associated projects, such as expert systems or rule engines, which are not limited here.

[0047] S102. Monitor the progress of new projects in real time and determine the approval efficiency of new projects.

[0048] Process progress refers to the stage and completion status of a new project during the approval process. Approval efficiency indicates the speed of the project approval process and can be measured by the ratio of approval time to expected time.

[0049] Once a new project enters the approval process, the monitoring system continuously tracks its progress to identify potential problems and delays. Specifically, the system first establishes a standard process model for project approval, including each approval step and its expected timeframe. Then, by connecting with the information systems of various approval departments, the system obtains real-time updates on the project's status at each stage. Next, the system compares the actual time taken with the expected time to calculate the current approval efficiency. Finally, the system records and updates the calculation results to the project monitoring panel.

[0050] In some embodiments, approval efficiency can be determined in several ways: Optionally, the monitoring system can use the milestone method. First, several key nodes are set as milestones for the project approval process; second, the actual completion time of each milestone is recorded; then, the actual completion time is compared with a preset standard time; finally, the overall approval efficiency is calculated based on the comparison results. Optionally, the monitoring system can use the cumulative flow diagram method. First, the system records the project's dwell time at each approval stage in real time; second, a cumulative flow diagram is drawn to show the trend of workload changes at each stage; then, the slope and area in the diagram are analyzed to identify efficiency bottlenecks; finally, the overall approval efficiency is calculated based on the analysis results. It is understood that other methods can also be used to determine approval efficiency, such as the critical path method or statistical process control, etc., which are not limited here.

[0051] S103. When the approval efficiency is lower than the preset efficiency threshold, determine the current process of the new project and the associated process of the related projects corresponding to the current process.

[0052] The preset efficiency threshold refers to a pre-defined approval efficiency standard set by the system to determine whether the current approval efficiency is within the normal range. The current process refers to the approval stage currently in progress for a new project. Related processes refer to the approval stages in related projects that correspond to the current process.

[0053] When the monitoring system detects abnormal approval efficiency, it further pinpoints the specific step where the problem occurs and identifies relevant historical cases. Specifically, the system first compares the calculated approval efficiency with a preset efficiency threshold; if it falls below the threshold, an anomaly handling process is triggered. Next, the system determines the current approval stage of the new project. Then, it identifies historical approval records corresponding to this stage within previously identified related projects. Finally, the system integrates this information to prepare for subsequent analysis and report generation.

[0054] S104. When the approval confirmation time of the current process exceeds the historical approval time of the related process, generate an approval delay report.

[0055] The approval confirmation time refers to the actual time required for the current process from start to completion. Historical approval time represents the average or standard approval time for related projects within the corresponding process. The approval delay report is a document explaining the details of the approval delay, the reasons for the delay, and suggestions for improvement.

[0056] When the monitoring system detects an abnormally long approval time, it generates a report for relevant personnel to refer to and make decisions. Specifically, the system first compares the approval confirmation time of the current process with the historical approval time of related processes; if it exceeds the historical time, it triggers the report generation process; next, the system collects various data related to the delay, including specific time differences, historical statistics, and possible reasons for the delay; then, the system uses a preset report template to integrate this information into a structured report; finally, the system also generates some improvement suggestions based on historical experience and best practices using a large language model.

[0057] In some embodiments, approval delay reports can be generated in several ways: Optionally, the regulatory system can use a template-filling method. First, the system prepares a set of report templates containing various delay scenarios; second, it selects the most suitable template based on the actual delay situation; then, it fills the collected specific data into the corresponding positions in the template; finally, it generates analysis conclusions and recommendations based on the filled data. Optionally, the regulatory system can use Natural Language Generation (NLG) technology. First, the system performs structured processing on the collected delay data; second, it uses an NLG algorithm to convert the structured data into natural language descriptions; then, it organizes the generated text content according to a preset report structure; finally, it adds visualization charts to enhance the report's readability. It is understood that other methods can also be used to generate approval delay reports, such as intelligent report generation based on knowledge graphs or multimodal fusion reports, etc., which are not limited here.

[0058] S105. Send an approval delay report to the user terminal.

[0059] In this context, a user terminal refers to a device capable of receiving and displaying reports, such as a computer, smartphone, or tablet computer.

[0060] After generating an approval delay report, the monitoring system will transmit the report to relevant personnel so that they are aware of the situation and can take necessary measures. Specifically, the system first determines the recipients of the report, which may include project leaders, heads of approval departments, or other relevant personnel; then, based on preset user preferences or system settings, the system selects an appropriate sending method, such as email, SMS, or internal system message; next, the system packages the report content and sends it out through the selected channel; finally, the system can also record a sending log and wait for confirmation of receipt.

[0061] In some embodiments, the sending of approval delay reports can be implemented in multiple ways: Optionally, the monitoring system can adopt a multi-channel push method. First, the system maintains a database of user contact information and preference settings; second, it selects one or more sending channels based on the urgency and importance of the report; then, the system adapts the report content to different channel formats; finally, the report is sent simultaneously or sequentially according to priority through the selected channels. Optionally, the monitoring system can use an intelligent push strategy. First, the system analyzes users' historical behavioral data, such as report reading time and feedback; second, based on the analysis results, it calculates the optimal push time and method for each user; then, the system sends the report at the calculated optimal time; finally, it records the user's reception and reading status for further optimization of the push strategy.

[0062] The following provides supplementary information regarding the scenario in this embodiment.

[0063] With the deepening application of the system, relevant departments have further optimized their methods for supervising the implementation of industrial projects. The system now not only focuses on the progress of individual projects but also conducts comprehensive regional analysis. For example, when planning a new smart manufacturing industrial park, the system generates a regional analysis report, including multi-dimensional information such as surrounding infrastructure, human resources, and supply chain support. Based on this data, the system predicts the development trends of various projects within the industrial park and provides optimization suggestions. Furthermore, the system integrates external data sources, such as environmental monitoring data and economic indicators, to generate dynamic scores for each project. This allows decision-makers to more comprehensively assess project value and risks. Through these optimizations, the efficiency of industrial project management across the city has been improved, providing strong support for the city's sustainable development.

[0064] In light of the above scenarios, the method provided in this implementation will now be described in more detail. Please refer to [link / reference]. Figure 2 This is another flowchart illustrating the implementation and supervision method for industrial projects in this application.

[0065] S201. Based on the project data of the newly created project, determine the associated projects corresponding to the newly created project.

[0066] Referring to step S101, the monitoring system will identify the associated projects.

[0067] In some embodiments, the monitoring system determines project characteristics, including project type, land area, construction scale, investment amount and geographical location, based on the project data of the new project; determines the similarity scores between multiple historical projects and the new project based on the project characteristics; and filters out historical projects with similarity scores higher than a preset similarity threshold as associated projects.

[0068] Project data refers to a comprehensive set of information describing various characteristics of a new project. Project features represent key project attributes, including project type, land area, construction scale, investment amount, and geographical location. Similarity score is a numerical indicator that measures the degree of similarity between two projects. Preset similarity threshold represents a pre-defined criterion used by the system to filter highly similar projects.

[0069] After receiving a new project application or project information submitted by relevant departments, the system identifies related historical projects to facilitate subsequent evaluation and comparison of approval efficiency. Specifically, the system first extracts key features from the new project data, including project type, land area, construction scale, investment amount, and geographical location. Then, it compares these features with projects in the historical project database across multiple dimensions, calculating a similarity score. Next, the system sets a similarity threshold and filters out historical projects with scores higher than this threshold. Finally, the system marks these highly similar historical projects as related projects, preparing for subsequent analysis.

[0070] In some embodiments, the determination of associated projects can be achieved in several ways: Optionally, the system can employ a multi-dimensional vector space model. First, project features are converted into multi-dimensional vectors, with each dimension representing a feature attribute; second, algorithms such as cosine similarity or Euclidean distance are used to calculate the similarity between the vectors of new projects and historical project vectors; then, historical projects are sorted according to the calculation results; finally, the projects with the highest similarity are selected as associated projects. Optionally, the system can use machine learning classification methods. First, a classification model, such as a support vector machine (SVM) or random forest, is trained using historical project data; second, the features of new projects are input into the trained model; then, the model outputs the category of the project most similar to the new project; finally, representative projects are selected from this category as associated projects. It is understood that other methods can also be used to determine associated projects, such as semantic similarity calculation based on knowledge graphs or feature matching based on deep learning, etc., which are not limited here.

[0071] S202. Monitor the progress of new projects in real time to determine the approval efficiency of new projects.

[0072] Referring to step S102, the regulatory system will determine the approval efficiency.

[0073] S203. In response to the project query request from the user terminal, send a project display map containing project information of multiple projects to the user terminal.

[0074] In this context, a user terminal refers to a device used by a user to access and operate the monitoring system, such as a computer, tablet, or smartphone. A project query request represents a user's instruction sent through the terminal to retrieve project information. Project information refers to data related to each project, including but not limited to project name, location, type, and progress. A project display map is a visual geographic information system interface used to intuitively display the distribution and basic information of multiple projects on a map.

[0075] When the monitoring system receives a project query request from a user via their terminal, it prepares and returns a map view containing information on multiple projects. Specifically, the system first verifies the user's identity and permissions to determine the scope of projects they can access; then, the system retrieves project data that meets the criteria from the database; next, the system combines this project data with a Geographic Information System (GIS) to generate an interactive project display map; finally, the system packages the generated map data and sends it to the user's terminal device via the network.

[0076] In some embodiments, the monitoring system first obtains the user terminal's identity information and determines the user permissions corresponding to the identity information; based on the user permissions, it determines multiple items corresponding to the user permissions.

[0077] Identity information refers to data used to identify and verify a user's identity, such as username, password, and ID number. User permissions represent the operations and resource scope that a specific user is allowed to perform within the system. The corresponding items for user permissions refer to the specific set of items that the system allows a user to view and operate based on their permission level.

[0078] Before a user attempts to access project information, the system performs authentication and permission checks to ensure information security and access control. Specifically, the system first receives identity information sent by the user's terminal, which may include username, password, or other authentication credentials; then, the system verifies the authenticity and validity of this information to confirm the user's identity; next, the system queries a preset permission configuration database to determine the user's specific permission level; finally, based on the user's permission level, the system filters the project database to retrieve a list of projects that the user is authorized to access.

[0079] In some embodiments, user permissions and project filtering can be implemented in several ways: Optionally, the system can adopt a role-based access control (RBAC) model. First, the system defines different user roles, such as ordinary users, project managers, system administrators, etc.; second, it assigns a corresponding set of permissions to each role; then, it maps users to specific roles based on their identity information; finally, it filters the list of projects that users can access based on the role's permission settings. Optionally, the system can use a dynamic permission management mechanism. First, the system maintains a real-time updated user-permission mapping table; second, when a user logs in, the system queries this mapping table to obtain the latest permission configuration; then, the system dynamically generates a list of accessible projects based on the user's current permission status; finally, during the user session, the system continuously monitors permission changes and adjusts the scope of accessible projects. It is understood that other methods can also be used to implement user permissions and project filtering, such as attribute-based access control (ABAC) or context-aware adaptive permission management, etc., which are not limited here.

[0080] S204. In response to the user terminal's selection of a target project in the project display map, send the target project data and target process progress of the corresponding target project to the user terminal.

[0081] The selection action refers to the user's interactive behavior of clicking or otherwise selecting a specific project on the project display map. The target project represents the specific project the user has currently selected and wants to view detailed information about. Target project data refers to the collection of detailed information related to the selected project. Target process progress indicates the current approval status and completion level of the project.

[0082] Once the monitoring system detects that a user has selected a specific item on the map, it will respond quickly and provide detailed information about that item. Specifically, the system first captures the user's selection action and identifies the selected target item; then, the system retrieves comprehensive information about the item from the database, including basic attributes, related documents, and historical records; next, the system queries and organizes the latest approval process progress information for the item; finally, the system organizes this data into a structured format and transmits it to the user's terminal device via the network.

[0083] S205. In response to the user terminal's process reminder operation for the target project, send an approval prompt message to the business personnel terminal corresponding to the current process of the target project.

[0084] Among these, "process reminder" refers to an interactive action triggered by the user through the terminal interface, designed to remind relevant personnel to pay attention to project progress. "Approval prompts" represent system-generated notifications used to remind business personnel to pay attention to and process specific approval matters. "Business personnel terminal" refers to the device used by staff responsible for handling the current process of the target project.

[0085] After receiving a process reminder request from a user, the monitoring system will notify relevant business personnel to pay attention to the project progress. Specifically, the system first verifies whether the user who initiated the reminder has the necessary permissions; then, based on the current process status of the target project, the system determines the business personnel who need to receive the reminder; next, the system generates an approval prompt message containing project information, current status, and pending tasks; finally, the system sends this prompt message to the corresponding business personnel's terminal device through a pre-defined communication channel.

[0086] In some embodiments, the generation and sending of approval prompts can be achieved in multiple ways: Optionally, the monitoring system can adopt an intelligent message push strategy. First, the system analyzes the work patterns and response habits of business personnel; second, based on the analysis results, it selects the most suitable push time and method; then, the system generates personalized prompt content; finally, it sends the prompt information through the selected channel (such as SMS, email, or App notification). Optionally, the monitoring system can use a workflow integration method. First, the system integrates the approval prompts into the workflow platform used daily by business personnel; second, it creates a new to-do task on the workflow platform; then, it attaches project-related information and approval requirements to the task description; finally, it assigns the task to the corresponding business personnel through the workflow platform's built-in notification mechanism. It is understood that other methods can also be used to generate and send approval prompts, such as AI-based context-aware reminders or cross-platform unified message push, etc., which are not limited here.

[0087] S206. When the approval efficiency is lower than the preset efficiency threshold, determine the current process of the new project and the associated process of the related projects corresponding to the current process.

[0088] Referring to step S103, the regulatory system will determine the current process and related processes when the approval efficiency is low.

[0089] S207. When the approval confirmation time of the current process exceeds the historical approval time of the related process, obtain the historical approval opinions of the related process.

[0090] The approval confirmation time refers to the actual time required for the current process from start to finish. Historical approval time represents the average or standard approval time for related projects within the corresponding process. Related processes refer to the approval steps in previously identified related projects that correspond to the current process. Historical approval opinions refer to the evaluations, suggestions, or decisions given by approvers in related processes.

[0091] When the monitoring system detects an abnormally long approval time, it reviews historical cases to find possible causes and solutions. Specifically, the system first compares the approval confirmation time of the current process with the historical approval times of related processes. If a timeout is found, the system triggers a retrieval process for historical approval opinions. Then, the system searches the database for related process records corresponding to the current process. Next, the system extracts historical approval opinions from these related processes, including the approver, approval time, approval result, and specific opinion content. Finally, the system organizes and categorizes these historical approval opinions to prepare for subsequent analysis.

[0092] In some embodiments, historical approval opinions can be obtained in several ways: Optionally, the regulatory system can employ semantic retrieval technology. First, the system uses Natural Language Processing (NLP) technology to perform semantic analysis on historical approval opinions; second, it establishes a semantic-based index database; then, it constructs semantic query conditions based on the characteristics of the current process; finally, it retrieves the most relevant historical approval opinions from the index database. Optionally, the regulatory system can use a case-based reasoning method. First, the system represents each historical approval case as a set of feature vectors; second, it calculates the similarity between the current process and historical cases; then, it selects several cases with the highest similarity; finally, it extracts the approval opinions from these cases as a reference. It is understood that other methods can also be used to obtain historical approval opinions, such as knowledge graph-based association analysis or deep learning model-based opinion extraction, etc., which are not limited here.

[0093] S208. Based on the current process characteristic data and historical approval opinions, determine the reasons for the delay and suggest solutions.

[0094] Among these, process characteristic data refers to a series of indicators describing the characteristics of the current approval process, such as process type, involved departments, and required documents. Delay cause analysis represents a systematic discussion of the possible factors causing approval delays. Suggested solutions refer to possible improvement measures or handling methods proposed to address the causes of delays.

[0095] After acquiring current process information and relevant historical approval opinions, the monitoring system conducts in-depth analysis to identify the causes of delays and propose solutions. Specifically, the system first organizes the characteristic data of the current process, including key information such as process type, involved departments, and required documents; then, the system compares and analyzes the commonalities and differences between the characteristics of the current process and historical approval opinions; next, the system uses a pre-set analysis model, combined with current data and historical experience, to infer possible causes of delays; finally, based on the causes of delays and referring to historical success cases and best practices, the system generates targeted solution suggestions.

[0096] In some embodiments, the determination of delay causes and solutions can be achieved in several ways: Optionally, the regulatory system can employ decision tree analysis. First, the system constructs a decision tree model based on historical data to classify different types of delay causes; second, the characteristic data of the current process is input into the decision tree model; then, based on the classification results of the decision tree, the most likely delay cause is determined; finally, for each cause, an appropriate suggestion is selected from a pre-set solution library. Optionally, the regulatory system can use an expert system approach. First, the system maintains a rule base containing the knowledge and experience of approval experts; second, the characteristics of the current process and historical approval opinions are input as facts into the expert system; then, through an inference engine, inference is performed based on the rules in the rule base; finally, the delay cause analysis and solution suggestions derived by the expert system are output. It is understood that other methods can also be used to determine the delay causes and solutions, such as anomaly detection and prediction models based on machine learning or multi-criteria decision analysis, etc., which are not limited here.

[0097] S209. Based on the analysis of the reasons for the delay and the suggested solutions, generate an approval delay report.

[0098] The approval delay report is a formal document that details the approval delay, the reasons for the delay, and suggestions for improvement. It includes several main parts such as basic project information, description of the delay, reasons for the delay, and suggested solutions.

[0099] After analyzing the causes of delays and proposing solutions, the monitoring system integrates this information into a structured report. Specifically, the system first determines the overall structure and content of the report based on a preset report template; then, it fills in the relevant sections of the report with basic project information, current process status, and other background data; next, it organizes the results of the delay analysis and suggested solutions into the report in an appropriate format; finally, the system can add data visualization charts to enhance the report's readability.

[0100] In some embodiments, approval delay reports can be generated in several ways: Optionally, the regulatory system can employ Natural Language Generation (NLG) technology. First, the system inputs structured data such as delay cause analysis and solutions into the NLG model; second, the NLG model generates fluent natural language descriptions based on preset language templates; then, the system organizes the generated text paragraphs according to the report structure; finally, appropriate charts and formatting effects are added to form a complete report. Optionally, the regulatory system can use a modular report generation method. First, the system divides the report into multiple functional modules, such as overview, analysis, and recommendations; second, for each module, the most suitable text and chart components are selected from a preset content library; then, these components are parametrically adjusted according to the specific circumstances of the current case; finally, all modules are combined and the layout is optimized to generate the final approval delay report. It is understood that other methods can also be used to generate approval delay reports, such as machine learning-based report generation or interactive report customization systems, etc., which are not limited here.

[0101] S210, Send an approval delay report to the user terminal.

[0102] Referring to step S105, the regulatory system will send an approval delay report.

[0103] S211. Obtain the project display map of the area where the new project is located.

[0104] The project display map refers to a visual geographic information system interface used to intuitively display the distribution and basic information of multiple projects within a specific area. The area where a new project is located indicates the geographical location of the new project and its surrounding area.

[0105] When the monitoring system needs to update project information, it first needs to obtain the basic map data of the corresponding area. Specifically, the system first determines the geographical coordinates of the new project; then, based on preset range parameters, it determines the map area to be displayed; next, the system retrieves map data for that area from the geographic information database, including information such as terrain, roads, and administrative divisions; finally, the system loads the retrieved map data into memory to prepare for subsequent information updates.

[0106] In some embodiments, the project display map can be obtained in several ways: Optionally, the monitoring system can use a dynamic map service call method. First, the system sends a map data request to an external map service provider, including the coordinate range and zoom level of the required area; second, it receives and parses the returned map data package; then, it converts the parsed data into the system's internal map object format; finally, it caches the converted map object locally for fast access and rendering. Optionally, the monitoring system can use an offline map database method. First, the system maintains a local database containing map data for each area; second, based on the location information of the newly created project, it retrieves the corresponding map tiles from the database; then, it stitches the retrieved map tiles into a complete regional map; finally, it performs necessary style adjustments and optimizations on the stitched map. It is understood that other methods can also be used to obtain the project display map, such as real-time rendering based on vector tiles or mixed reality (MR) map generation, etc., which are not limited here.

[0107] S212. Update the project information of the newly created project to the corresponding geographical location module on the project display map.

[0108] Project information refers to various data related to the new project, including but not limited to project name, type, status, and progress. The geolocation module represents a specific area or point on the project display map corresponding to the actual location of the new project.

[0109] After obtaining the project display map, the monitoring system will add or update the latest information of the newly created project to the map. Specifically, the system first locates the corresponding position on the project display map based on the geographical coordinates of the new project; then, the system creates or updates a geolocation module associated with that position; next, the system populates the geolocation module with various information about the new project; finally, the system can also adjust the display style of the module (such as color, icons, etc.) according to the characteristics or importance of the project.

[0110] In some embodiments, map updates for project information can be implemented in several ways: Optionally, the monitoring system can employ layer overlay technology. First, the system creates a transparent layer specifically for displaying project information; second, marker points or polygonal regions are added to this layer based on the project's geographic coordinates; then, the project information is associated with these geographic features, and appropriate visualization effects are set; finally, this layer containing project information is overlaid onto the base map. Optionally, the monitoring system can use a dynamic marker method. First, the system creates an interactive dynamic marker object for each project; second, the project information is encapsulated within this marker object; then, based on the project's geographic location, the marker object is placed at the corresponding location on the map; finally, click events for the marker object are set so that users can obtain more project details through interaction. It is understood that other methods can also be used to implement map updates for project information, such as WebGL-based 3D project model display or augmented reality (AR) information overlay, etc., which are not limited here.

[0111] S213. Bind a layer management component to the geolocation module corresponding to the new project to display the data and set the attributes of the new project.

[0112] The layer management component refers to a software module used to control the display of different types of information on a map, allowing users to selectively display or hide specific data and adjust the display attributes of this data.

[0113] Specifically, the system first creates a dedicated layer management component for new projects; then, it associates this component with the corresponding geolocation module of the project; next, the system sets the component's default parameters, such as visibility, display order, and data filtering conditions; finally, the system can also configure some interactive controls for this component, allowing users to dynamically adjust the way data is displayed.

[0114] In some embodiments, the binding and configuration of layer management components can be implemented in several ways: Optionally, the monitoring system can adopt a modular component design approach. First, the system selects a layer management component template suitable for the characteristics of the new project from a predefined component library; second, it customizes the component template according to the specific needs of the project; then, it associates the configured component instance with the geolocation module; finally, it initializes the component's various functions, such as data loading, style rendering, and interactive responses. Optionally, the monitoring system can use dynamic component generation technology. First, the system analyzes the data structure and display requirements of the new project; second, based on the analysis results, it dynamically generates a layer management component that meets the requirements; then, it injects the generated component into the map rendering process; finally, it sets the component's data binding rules and update mechanism to ensure the real-time nature of data display. It is understood that other methods can also be used to implement the binding and configuration of layer management components, such as a pluggable component system based on a micro-frontend architecture or remote component loading configured in the cloud, etc., which are not limited here.

[0115] S214. Based on the parameter setting operation of the user terminal, update the component parameters of the layer management component.

[0116] In this context, parameter setting refers to the interactive behavior of users adjusting various configurations of the layer management component through the terminal interface. Component parameters include, but are not limited to, configuration items such as layer visibility, data filtering conditions, display style, and interaction method.

[0117] The monitoring system responds to users' personalized needs, allowing them to adjust the display of project information according to specific circumstances. Specifically, the system first captures the parameter setting operations performed by the user on the terminal; then, it parses these operations to identify the specific parameters the user wishes to adjust and their new values; next, it applies these new parameter values ​​to the corresponding layer management components; finally, the system can also trigger a map re-rendering to immediately reflect the effects of the parameter changes. This process includes multiple steps such as event listening, parameter verification, state updates, and view refresh.

[0118] In some embodiments, component parameters can be updated in several ways: Optionally, the monitoring system can employ real-time parameter synchronization technology. First, the system establishes a real-time communication channel, such as a WebSocket connection, between the user terminal and the server. Second, when the user performs parameter setting operations, the changes are immediately sent to the server through this channel. Then, the server receives and verifies the parameter change request and updates the component configuration in the database. Finally, the server broadcasts the update results to all relevant clients to ensure parameter consistency in a multi-user environment. Optionally, the monitoring system can use a local-first parameter management strategy. First, the system maintains a copy of the layer management component's parameters locally on the user terminal. Second, the user's parameter setting operations are directly applied to this local copy, achieving immediate response. Then, the system periodically or under specific triggering conditions synchronizes local parameter changes to the server. Finally, the server processes and stores these changes, resolving potential conflicts when necessary. It is understood that other methods can also be used to update component parameters, such as blockchain-based distributed parameter management or AI-assisted intelligent parameter optimization, etc., which are not limited here.

[0119] In some embodiments, the monitoring system generates regional analysis results for the area where the new project is located based on the project display map; generates a project development trend report based on the regional analysis results and the monitored progress of the new project; and generates a project score based on the project development trend report and multi-source data from external data systems.

[0120] The regional analysis results refer to comprehensive assessment information on the area where the new project is located, including economic development status, industrial structure, and resource allocation. The project development trend report represents a predictive analysis of the project's future development direction based on historical data and current progress. Multi-source data from external data systems refers to relevant data from different channels and fields, such as economic indicators, policy information, and market dynamics. The project score is a quantitative evaluation of the project's overall performance based on a comprehensive analysis of various factors.

[0121] After displaying basic project information and monitoring progress, the system conducts deeper analysis and evaluation to provide comprehensive decision support. Specifically, the system first collects and organizes various indicator data for the area where the new project is located based on the project display map, generating regional analysis results. Then, the system combines these regional analysis results with the project's real-time progress information and uses a predictive model to generate a project development trend report. Next, the system obtains multi-dimensional supplementary data from external data systems, such as industry policies and market demands. Finally, the system comprehensively considers the trend report and external data, and calculates the project's overall score using a pre-set scoring model.

[0122] In some embodiments, regional analysis, trend prediction, and project scoring can be implemented in various ways: Optionally, the system can employ Geographic Information System (GIS) combined with big data analytics. First, spatial data analysis of the project area is performed using GIS technology to generate a regional feature map. Second, time series analysis algorithms are applied to predict project development trends based on historical data and current progress. Then, relevant information is collected from multiple external data sources through data crawling and API interfaces. Finally, machine learning algorithms, such as random forests or gradient boosting trees, are used to calculate the project score by integrating all factors. Optionally, the system can use an expert system combined with fuzzy comprehensive evaluation. First, industry experts are invited to develop an indicator system for regional analysis and assign weights. Second, project development trends are analyzed based on an expert knowledge base and rule engine. Then, multi-level fuzzy evaluation indicators are designed, covering internal progress and external environmental factors. Finally, a comprehensive project score is calculated using a fuzzy mathematical model. It is understood that other methods can also be used to implement regional analysis, trend prediction, and project scoring, such as blockchain-based distributed data analysis or deep reinforcement learning-based dynamic scoring systems, etc., which are not limited here.

[0123] In this embodiment, by employing technologies such as intelligent project matching, real-time approval efficiency monitoring, multi-dimensional data analysis, and visualized geographic information display, the system can comprehensively improve the management efficiency and decision-making quality of industrial projects. By identifying similar historical projects, the system can provide more accurate approval benchmarks for new projects; through real-time monitoring and intelligent early warning, the system can identify and resolve potential approval delays; and by integrating multi-source data and advanced analytics, the system can generate in-depth project trend reports and scores. These functions effectively solve the problems of information silos, insufficient analytical capabilities, and low visualization in traditional project management systems, achieving intelligent, refined, and visualized project management.

[0124] The monitoring system in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference needed]. Figure 3 This is a schematic diagram of the physical device structure of the monitoring system in the embodiments of this application.

[0125] It should be noted that, Figure 3 The structure of the regulatory system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0126] like Figure 3As shown, the monitoring system includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 302 or programs loaded from storage section 308 into Random Access Memory (RAM) 303, such as performing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0127] The following components are connected to I / O interface 305: input section 306 including audio input devices, push-button switches, etc.; output section 307 including a liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 308 including a hard disk, etc.; and communication section 309 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 309 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0128] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs the various functions defined in the present invention.

[0129] It will be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0130] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0131] Specifically, the monitoring system in this embodiment includes a processor and a memory. The memory stores a computer program, and when the computer program is executed by the processor, it implements the industrial project implementation monitoring method provided in the above embodiment.

[0132] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the monitoring system described in the above embodiments; or it may exist independently and not incorporated into the monitoring system. The storage medium carries one or more computer programs that, when executed by a processor of the monitoring system, enable the monitoring system to implement the industrial project implementation monitoring method provided in the above embodiments.

[0133] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0134] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0135] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method of supervising implementation of an industrial project, characterized in that, The method is applied to a supervision system, and comprises the following steps: According to the project data of the newly-built project, determine the associated project corresponding to the newly-built project; According to the project data of the newly-built project, determine the project characteristics including project type, land area, construction scale, investment amount and geographical location; According to the project characteristics, determine the similarity scores of a plurality of historical projects and the newly-built project; Screen out the historical projects with similarity scores higher than a preset similarity threshold as the associated projects; Real-time monitoring of the process progress of the newly-built project to determine the approval efficiency of the newly-built project; Obtain the identity information of the user terminal and determine the user authority corresponding to the identity information; According to the user authority, determine a plurality of projects corresponding to the user authority; In response to the project query request of the user terminal, send the project information of the project display map including a plurality of projects to the user terminal; In response to the selection operation of the target project in the project display map by the user terminal, send the target project data and the target process progress corresponding to the target project to the user terminal; In response to the process reminder operation of the target project by the user terminal, send the approval prompt information to the business personnel terminal corresponding to the current process of the target project; When the approval efficiency is lower than a preset efficiency threshold, determine the current process of the newly-built project and the associated process of the associated project corresponding to the current process; The current process represents the current approval link of the newly-built project, and the associated process refers to the approval link corresponding to the current process in the associated project; When the approval confirmation time of the current process exceeds the historical approval time of the associated process, obtain the historical approval opinion of the associated process; According to the process feature data of the current process and the historical approval opinion, determine the delay cause analysis and the recommended solution; According to the delay cause analysis and the recommended solution, generate an approval delay report; Send the approval delay report to the user terminal; Obtain the project display map of the region where the newly-built project is located; Update the project information of the newly-built project to the geographical location module corresponding to the project display map; The geographical location module represents a specific area or point corresponding to the actual location of the newly-built project on the project display map; Bind a layer management component to the geographical location module corresponding to the newly-built project for data display and attribute setting of the newly-built project; Update the component parameters of the layer management component based on the parameter setting operation of the user terminal.

2. The method of claim 1, wherein, After the step of updating the component parameters of the layer management component based on the parameter setting operation of the user terminal, the method further comprises the following steps: Based on the project display map, generate the regional analysis result of the region where the newly-built project is located; According to the regional analysis result and the monitored process progress of the newly-built project, generate a project development trend report; According to the project development trend report and the multi-source data of the external data system, generate a project score.

3. A regulatory system characterized by, The supervisory system comprises one or more processors and a memory; the memory is coupled with the one or more processors, the memory is configured to store computer program code, the computer program code comprises computer instructions, the one or more processors invoke the computer instructions to enable the supervisory system to perform the method as claimed in claim 1 or 2.

4. A computer-readable storage medium comprising instructions, characterized in that, The instructions, when running on a supervisory system, enable the supervisory system to perform the method as claimed in claim 1 or 2.

5. A computer program product, characterised in that, The computer program product, when running on a supervisory system, enables the supervisory system to perform the method as claimed in claim 1 or 2.

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