Whole-process engineering consultation information sharing method, server, medium and product

Abstract

The invention discloses a whole-process engineering consultation information sharing method, a server, a medium and a product. The method comprises the following steps: establishing a whole-process engineering consultation information sharing platform; acquiring real-time project data; determining a project risk problem and a solution corresponding to the project risk problem based on the real-time project data, the project progress plan, the project material plan and the project safety plan; according to the responsibility authority corresponding to each project participant, sending the project risk problem and the solution corresponding to the project risk problem as processing tasks to the responsibility project participant through the whole-process project consultation information sharing platform; when it is determined that the responsible project participant completes the processing task, a processing result uploaded by the responsible project participant through the whole-process engineering consultation information sharing platform is audited; and when the auditing is passed, determining that the project risk problem is solved. By implementing the method, the project risk problem is monitored in real time by establishing a whole-process engineering consultation information sharing platform, and the risk processing efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of information sharing, and in particular to a full-process engineering consulting information sharing method, server, medium and product. Background Art

[0002] In modern engineering project management, full-process engineering consulting has become an important means to ensure the smooth progress of projects and improve project quality. Full-process engineering consulting provides integrated consulting services by covering all stages of project implementation, including project progress management, material management, safety management and other aspects. Through this comprehensive consulting service, projects can be carried out more orderly in planning and control, reducing problems caused by information asymmetry or poor communication.

[0003] Existing full-process engineering consulting technology solutions usually rely on traditional information management systems, which establish a comprehensive project database to record project information, such as progress information, material information, personnel information, etc. Project managers can also manually upload and update real-time data of the project. The information management system periodically generates project reports and sends notifications to project stakeholders so that they can keep abreast of the latest status of the project and make adjustments as needed.

[0004] However, existing technologies have certain shortcomings. For example, in terms of project risk identification and management, existing systems lack the ability of intelligent analysis and automated processing. When multiple parties work together, information transmission and task allocation may not be timely or in place, resulting in inefficient risk management. Summary of the invention

[0005] The present application provides a full-process engineering consulting information sharing method, server, medium and product, which are used to monitor project risk issues in real time and improve risk handling efficiency by establishing a full-process engineering consulting information sharing platform.

[0006] In the first aspect, the present application provides a full-process engineering consulting information sharing method, which is applied to a server, and the method includes: establishing a full-process engineering consulting information sharing platform based on project basic data, the project basic data includes a project schedule, a project material plan and a project safety plan, and the full-process engineering consulting information sharing platform includes the corresponding responsibilities and authorities of each project participant; obtaining real-time project data uploaded by each project participant through the full-process engineering consulting information sharing platform; based on the real-time project data and the project schedule, the project material plan and the project safety plan, determining project risk issues and corresponding solutions to the project risk issues, the implementation project data includes real-time project progress, real-time project materials and real-time project safety reports; according to the corresponding responsibilities and authorities of each project participant, sending the project risk issues and corresponding solutions to the project risk issues as processing tasks to the responsible project participants through the full-process engineering consulting information sharing platform; when it is determined that the responsible project participant has completed the processing task, reviewing the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform; when the review is passed, it is determined that the project risk issue is resolved.

[0007] By adopting the above technical solutions and establishing a full-process engineering consulting information sharing platform, real-time sharing of project data and timely identification of risk issues are achieved. The full-process engineering consulting information sharing platform integrates the project schedule, project material plan and project safety plan, so that each project participant can grasp the project status in real time. The server automatically analyzes the deviation between the implementation project data and the project schedule, project material plan and project safety plan, quickly identifies project risk issues, and automatically assigns processing tasks according to responsibility and authority. This intelligent risk identification mechanism and task allocation mechanism greatly improves the efficiency of responding to project risk issues. At the same time, the review mechanism of processing results ensures the quality and effectiveness of risk solutions. The entire process significantly improves the efficiency and quality of project management by establishing a full-process engineering consulting information sharing platform, reduces problems caused by information asymmetry, and provides a strong guarantee for the smooth implementation of the project.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the project risk issues and solutions corresponding to the project risk issues are determined based on the real-time project data and the project schedule, the project material plan and the project safety plan, specifically including: when the real-time project progress lags behind the project schedule by more than a preset time threshold, determining the project progress risk; when the real-time project materials do not match the project material plan, determining the project material risk; when the real-time project safety report shows that a safety accident has occurred, determining the project safety risk; according to the project schedule risk, the project material risk and the project safety risk, query the risk knowledge base to determine the solution corresponding to the project risk issue.

[0009] By adopting the above technical solutions, risk identification becomes more scientific and comprehensive. Project schedule risks are judged by preset time thresholds, project material risks are identified by comparing real-time project materials with project material plans, and project safety risks are judged by analyzing real-time project safety reports. This multi-dimensional risk assessment method comprehensively covers the key aspects of the project, especially the introduction of a risk knowledge base, which combines historical experience with the current situation to provide more accurate and effective solutions to project risk issues. This risk identification and response mechanism based on data analysis and experience accumulation not only improves the accuracy of risk management, but also promotes the accumulation and inheritance of project management experience, laying the foundation for long-term project management capability improvement.

[0010] In combination with some embodiments of the first aspect, in some embodiments, when it is determined that the responsible project participant has completed the processing task, the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform are reviewed, specifically including: conducting an integrity review on the uploaded processing results; when it is determined that the processing results are complete, sending the processing results to multiple audit project participants; and after the multiple audit project participants approve them, determining that the audit is completed.

[0011] By adopting the above technical solution and setting up multiple audit project participants, the quality and reliability of risk handling results are ensured. First, the server conducts an integrity review of the processing results to avoid misjudgment caused by missing information. Then the server sends the processing results to multiple audit project participants, which can not only discover potential problems and loopholes, but also integrate opinions from different professional backgrounds to improve the comprehensiveness and scientificity of decision-making. The audit is completed only after multiple audit project participants have passed. This strict quality control mechanism greatly reduces the secondary risks caused by improper risk handling. At the same time, this multi-party audit process also promotes communication and collaboration among project participants, which is conducive to forming a more coordinated and consistent project management atmosphere.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of sending the processing result to multiple audit project participants when determining that the processing result is complete, the method also includes: if there is an audit project participant who does not approve the processing result, sending a prompt to resubmit the processing result to the responsible project participant.

[0013] By adopting the above technical solution and introducing a feedback mechanism when the audit fails, the quality and efficiency of risk handling are effectively improved. When there is an audit project participant who does not pass the processing result, the server will automatically send a prompt to the responsible project participant to resubmit the processing result. This instant feedback mechanism ensures that project risk issues can be corrected in a timely manner and avoids delays caused by poor communication. At the same time, this cyclic improvement process also promotes the responsible project participants to think deeply and analyze project risk issues, which helps to propose more complete and effective solutions. In addition, this feedback mechanism also enhances the interaction and collaboration between project participants.

[0014] In combination with some embodiments of the first aspect, in some embodiments, before the step of establishing a full-process engineering consulting information sharing platform based on the project basic data, the method also includes: extracting a project information sharing list from the project management system; sending the project information sharing list to each project participant to determine the accuracy of the project information sharing list; and obtaining the project basic data when it is determined that the project information sharing list is accurate.

[0015] By adopting the above technical solution, the server extracts the information sharing list from the project management system and sends it to each project participant for confirmation. This process ensures the integrity and accuracy of the basic project data. By involving all project participants in the data confirmation process, not only can potential data errors be discovered and corrected in a timely manner, but it can also ensure that all project participants have a consistent understanding of the project information. This participatory data confirmation mechanism effectively reduces subsequent misunderstandings and conflicts caused by inconsistent data, laying a solid data foundation for the smooth progress of the entire project.

[0016] In combination with some embodiments of the first aspect, in some embodiments, after the step of sending the project risk problem and the solution corresponding to the project risk problem as a processing task to the responsible project participant through the full-process engineering consulting information sharing platform according to the corresponding responsibilities and authorities of each project participant, the method also includes: obtaining the evaluation and correction of the solution by the responsible project participant; adjusting the solution corresponding to the project risk problem according to the evaluation and correction to obtain an optimized solution; and storing the project risk problem and the optimized solution in the risk knowledge base in an associated manner.

[0017] By adopting the above technical solutions and introducing the feedback mechanism of responsible project participants, dynamic optimization and knowledge accumulation of solutions are achieved. The server obtains the evaluation and correction of the solution by the responsible project participants and adjusts the solution accordingly. This process makes full use of the experience and insights of the actual executors to make the solution more feasible. Storing the optimized solution in the risk knowledge base in association with the project risk issues not only enriches the content of the risk knowledge base, but also improves the efficiency and accuracy of future risk response. This continuous optimization mechanism based on practical feedback enables the risk knowledge base to continuously improve and evolve itself to adapt to the special needs of different projects.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the step of determining that the project risk problem has been resolved when the review is passed, the method also includes: obtaining the processing efficiency of each project risk problem; improving the solution corresponding to the project risk problem whose processing efficiency is lower than a preset threshold and associating the improved solution with the project risk problem, and storing it in the risk knowledge base.

[0019] By adopting the above-mentioned technical solution and introducing risk handling efficiency evaluation and continuous improvement mechanisms, self-optimization of risk management is achieved, ensuring continuous improvement of risk response capabilities. Storing the improved solution in the risk knowledge base not only optimizes the existing risk handling solution, but also provides a better reference for the handling of similar risks in the future. This continuous improvement mechanism based on data analysis enables the risk management system to continuously learn and evolve to adapt to the special needs of different projects and the ever-changing project environment. In the second aspect, an embodiment of the present application provides a server, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the server to execute the method described in the first aspect and any possible implementation of the first aspect.

[0020] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a server, enables the server to execute the method described in the first aspect and any possible implementation of the first aspect.

[0021] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a server, enable the server to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] It is understandable that the server 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 method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Due to the adoption of a full-process engineering consulting information sharing platform and a real-time risk identification mechanism, the present invention can realize dynamic risk management throughout the entire life cycle of the project, effectively solving the problems of delayed risk identification and untimely information sharing in the prior art, thereby realizing forward-looking prevention and efficient handling of project risks.

[0024] 2. Due to the adoption of a multi-level audit mechanism and a dynamically optimized risk knowledge base, the present invention can ensure the high quality and continuous improvement of risk management solutions, effectively solving the problems of uneven quality of risk response solutions and difficulty in accumulating experience in the prior art, thereby achieving continuous improvement in risk management levels and enhancement of organizational learning capabilities.

[0025] 3. Due to the adoption of a participatory information confirmation mechanism and an efficiency evaluation improvement mechanism, the present invention can ensure the accuracy of data and the continuous optimization of the server, effectively solving the problems of misunderstandings and conflicts caused by inconsistent data in the prior art and the rigidity of the server in adapting to new situations, thereby achieving a more coordinated project management atmosphere and evolving risk response capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of the whole process engineering consulting information sharing method in the embodiment of the present application; Figure 2 It is another flowchart of the whole process engineering consulting information sharing method in the embodiment of the present application; Figure 3 It is a schematic diagram of a physical device structure of a server in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0028] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0029] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the full-process engineering consulting information sharing method in an embodiment of the present application.

[0030] S101. Establish a full-process engineering consulting information sharing platform based on the basic project data. The basic project data includes the project schedule, project material plan and project safety plan. The full-process engineering consulting information sharing platform includes the corresponding responsibilities and authorities of each project participant; Project basic data refers to the basic information set used to describe and plan the entire project, including project schedule, project material plan and project safety plan, etc., which are not limited here. The project schedule is used to indicate the expected completion timetable of each stage of the project, such as the design stage is expected to be completed within 3 months, the construction stage is expected to be completed within 18 months, etc. The project material plan refers to the expected use quantity and expected time schedule of various materials and equipment in the project, such as the expected use of 5,000 tons of steel and 10,000 cubic meters of concrete. The project safety plan is used to indicate the safety management measures and project quality goals in the project, including safety emergency plans, etc. The full-process engineering consulting information sharing platform is used to achieve information sharing and collaboration throughout the life cycle of the project. Responsibility and authority indicate the scope of responsibilities and decision-making authority of each project participant in the project, such as the general contractor is responsible for overall construction management, and the supervision unit is responsible for quality supervision, etc.

[0031] The establishment of a full-process engineering consulting information sharing platform based on the basic project data is usually carried out in the initial stage or preparatory stage of the engineering project, laying the foundation for subsequent project management and risk control. Specifically, the server first receives and processes the basic project data, including the project schedule, project material plan and project safety plan. Then, the server designs and builds the framework and functional modules of the full-process engineering consulting information sharing platform based on these basic project data, including data storage, information display, interactive interface, etc. At the same time, the server sets the account ID and corresponding responsibility authority of each project participant in the full-process engineering consulting information sharing platform according to the pre-set project organizational structure and project management system. Finally, the server tests and optimizes the full-process engineering consulting information sharing platform to ensure that it can operate normally and meet project management needs.

[0032] S102, obtaining real-time project data uploaded by each project participant through the full-process engineering consulting information sharing platform; Project participants refer to the units or individuals involved in the project, including but not limited to the owner, design unit, construction unit, supervision unit, etc. Real-time project data is used to represent the latest information reflecting the current status of the project, and is used for real-time monitoring and management of the project. Real-time project progress is used to indicate the actual completion of various tasks in the project, such as a single project has been completed 80%. Real-time project materials are used to indicate the actual use of various materials and equipment in the project, such as 4,000 tons of steel have been used. Real-time project safety reports are used to record safety incidents and the implementation of measures in the project, such as a minor safety accident occurred this month and rectification has been completed.

[0033] After the full-process engineering consulting information sharing platform is established and officially put into operation, the server will continue to obtain the real-time project data uploaded by each project participant through the full-process engineering consulting information sharing platform to ensure that the latest project status can be obtained in a timely manner. Specifically, the server monitors and receives the implementation project data uploaded by each project participant in real time through the data interface of the full-process engineering consulting information sharing platform. These real-time project data may exist in various forms, such as text reports, data tables, image files, etc. The server performs preliminary processing on the received real-time project data, including format conversion, data verification, and classified storage. At the same time, the server will also record the upload time and source of the real-time project data for subsequent data analysis and tracing. If the data is found to be abnormal or missing, the server will automatically send a reminder or request a supplement to the relevant project participants.

[0034] S103, determining the project risk problem and the solution corresponding to the project risk problem based on the real-time project data and the project schedule, the project material plan and the project safety plan, wherein the implementation project data includes the real-time project schedule, the real-time project material and the real-time project safety report; Project risk issues refer to potential events or conditions that may have a negative impact on the project. Solutions refer to the countermeasures and treatment methods proposed for specific project risk issues.

[0035] After obtaining the real-time project data, the server first compares and analyzes the real-time project data with the corresponding planned data. For project progress, the server calculates the deviation between the actual progress and the planned progress; for project materials, the server compares the difference between the actual materials and the planned materials; for project safety, the server analyzes abnormalities in the real-time project safety report. Then, the server determines whether there is a project risk problem based on the preset risk judgment criteria. If a project risk problem is identified, the server will further analyze the type, severity and possible impact of the project risk problem. Finally, the server will match and generate corresponding solutions from the pre-established risk knowledge base based on the risk characteristics. These solutions may include specific measures such as adjusting plans, increasing resources, and strengthening management, which are not limited here.

[0036] Optionally, under normal circumstances, based on the real-time project data and the project schedule, the project material plan and the project safety plan, determining the project risk issues and the solutions corresponding to the project risk issues can be achieved in the following ways: when the real-time project progress lags behind the project schedule by more than a preset time threshold, determining the project progress risk; when the real-time project materials do not match the project material plan, determining the project material risk; when the real-time project safety report shows that a safety accident has occurred, determining the project safety risk; based on the project schedule risk, the project material risk and the project safety risk, query the risk knowledge base to determine the solutions corresponding to the project risk issues.

[0037] S104. According to the corresponding responsibilities and authorities of each project participant, the project risk problem and the solution corresponding to the project risk problem are sent as a processing task to the responsible project participant through the full-process engineering consulting information sharing platform; After the server determines the project risk issues and corresponding solutions, it immediately executes this step to ensure that all responsible project participants are informed of the risk information in a timely manner and clarify their respective responsibilities. Specifically, the server first uploads the project risk issues and solutions to the designated area of ​​the full-process engineering consulting information sharing platform so that all project participants can view them. Then, the server matches the tasks in the solution with the corresponding project participants based on the pre-set responsibilities and permissions. The matching process will take into account factors such as the project participants' professional fields, permission levels, and current workloads. Next, the server sends task notifications to each relevant project participant (i.e., responsible project participant) through the task allocation module of the full-process engineering consulting information sharing platform, including task descriptions, expected goals, completion deadlines, and other information. At the same time, the server will also set the priorities and dependencies of the tasks to ensure that the solution can be implemented in an orderly manner.

[0038] S105. When it is determined that the responsible project participant has completed the processing task, the processing result uploaded by the responsible project participant through the full-process engineering consulting information sharing platform is reviewed; After assigning processing tasks to the responsible project participants, the server continues to execute this step until all processing tasks are completed. The purpose of this step is to timely grasp the implementation progress and effect of the risk solution. Specifically, the server monitors and receives the task completion feedback and processing results uploaded by each responsible project participant in real time through the data interface of the full-process engineering consulting information sharing platform. These task completion feedback and processing results usually include quantitative and qualitative parts: quantitative data such as task completion percentage, quality inspection results, etc.; qualitative data such as descriptive evaluation of risk resolution effect. The server will perform preliminary data verification on the received task completion feedback and processing results to ensure the integrity and consistency of the data. If the task completion feedback and / or processing results are found to be abnormal or incomplete, the server will automatically send a reminder to the relevant responsible project participants, requesting additional or verification information. At the same time, the server will also record the submission time and frequency of task completion feedback in order to evaluate the response speed and enthusiasm of project participants.

[0039] Optionally, under normal circumstances, when it is determined that the responsible project participant has completed the processing task, the review of the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform can be achieved in the following ways: conduct an integrity review of the uploaded processing results; when it is determined that the processing results are complete, send the processing results to multiple audit project participants; after the multiple audit project participants pass, determine that the audit is completed; if there is an audit project participant that does not pass the processing results, send a prompt to resubmit the processing results to the responsible project participant.

[0040] S106. When the review is passed, it is determined that the project risk issues have been resolved.

[0041] After receiving the processing results uploaded by the responsible project participants through the full-process engineering consulting information sharing platform, the server immediately executes this step to determine whether the project risk problem has been resolved and whether further risk management measures are needed. Specifically, the server first summarizes the completion feedback of all processing tasks and calculates the comprehensive completion of the entire solution. The calculation of the comprehensive completion may take into account the weights of different processing tasks to reflect their importance in the entire solution. Then, the server analyzes the feedback on the completion quality of the processing tasks and the risk resolution effect to evaluate the effectiveness of the solution, which may involve multi-dimensional evaluations, such as the degree of reduction in risk probability and the degree of mitigation of potential impacts. Next, the server compares the calculated comprehensive completion with the preset completion threshold. If the comprehensive completion reaches or exceeds the preset completion threshold, it means that the review has passed and it is determined that the project risk problem has been resolved. The server will update the status of the project risk problem and may mark it as "resolved" or "need continuous monitoring". If the comprehensive completion does not reach the preset completion threshold, it means that the review has not passed and it is determined that the project risk problem has not been resolved. The server may keep the risk status as "processing" and may trigger additional risk response measures.

[0042] By adopting the above technical solutions and establishing a full-process engineering consulting information sharing platform, real-time sharing of project data and timely identification of risk issues are achieved. The full-process engineering consulting information sharing platform integrates the project schedule, project material plan and project safety plan, so that each project participant can grasp the project status in real time. The server automatically analyzes the deviation between the implementation project data and the project schedule, project material plan and project safety plan, quickly identifies project risk issues, and automatically assigns processing tasks according to responsibility and authority. This intelligent risk identification mechanism and task allocation mechanism greatly improves the efficiency of responding to project risk issues. At the same time, the review mechanism of processing results ensures the quality and effectiveness of risk solutions. The entire process significantly improves the efficiency and quality of project management by establishing a full-process engineering consulting information sharing platform, reduces problems caused by information asymmetry, and provides a strong guarantee for the smooth implementation of the project.

[0043] After combining the above scenarios, the following is a more detailed description of the process of the method provided by this implementation. Figure 2 , which is another flow chart of the full-process engineering consulting information sharing method in an embodiment of the present application.

[0044] S201, extracting a project information sharing list from a project management system; Project management system refers to a comprehensive software platform used to plan, organize, control and coordinate project resources, such as Microsoft Project or Primavera P6. Project information sharing list is used to represent the list of various information items that need to be shared among project participants, including but not limited to design drawings, construction progress, quality inspection reports, etc. Extraction refers to the process of selectively obtaining specific information from a large amount of data.

[0045] This step is usually performed at the project launch phase or when the information sharing strategy needs to be updated. The purpose is to ensure that all project participants can obtain the necessary project information in a timely manner, promote collaboration and improve efficiency. Specifically, the server first connects to the database of the project management system, and then filters out data items related to information sharing according to the preset query conditions. These data items may include attributes such as document type, project phase, responsible department, and sharing frequency. Then, the server organizes the filtered data items into a structured project information sharing list, which may be sorted by information type, importance, or chronological order. In the process of generating the information sharing list, the server also checks the access permission settings for each information item to ensure that sensitive information is properly protected. Finally, the server may format the project information sharing list to make it easy to read and use, such as adding classification labels or generating chart summaries, etc., which are not limited here.

[0046] S202, sending the project information sharing list to each project participant to determine the accuracy of the project information sharing list; The server first prepares a personalized project information sharing list for each project participant based on the contact information and responsibility authority of the project participant. Then, the server sends the project information sharing list to each project participant through a preset communication channel (such as email, internal messages of the project management system, or a dedicated collaboration platform). During the sending process, the server will add a unique identifier to each project information sharing list for subsequent tracking and management. At the same time, the server will include clear instructions in the message sent, requiring each project participant to review the content of the project information sharing list and provide feedback. The server will also set a feedback deadline and configure an automatic reminder mechanism to ensure that the opinions of all project participants are collected in a timely manner. In addition, the server may provide online collaboration tools that allow project participants to directly mark and modify the project information sharing list, thereby improving the efficiency of the review.

[0047] S203. After confirming that the information sharing list of the project is accurate, obtain the basic data of the project; The server first confirms that all project participants have reviewed and agreed to the contents of the information sharing list. Then, the server identifies and extracts the various elements that constitute the basic data of the project from the confirmed information sharing list based on the preset data model and extraction rules. These elements may include key information such as project code, project type, contract number, start date, planned completion date, total investment amount, project leader, etc. During the extraction process, the server will format and standardize the data to ensure data consistency and availability. At the same time, the server may perform data validation procedures to check whether the extracted project basic data is complete and reasonable, and cross-validate with information in other related systems. If any anomalies or inconsistencies are found, the server will generate an alert and may initiate a manual review process.

[0048] S204. Establish a full-process engineering consulting information sharing platform based on the basic project data, where the basic project data includes a project schedule, a project material plan, and a project safety plan. The full-process engineering consulting information sharing platform includes the corresponding responsibilities and authorities of each project participant; For details, please refer to step S101, which will not be described in detail here.

[0049] S205, obtaining real-time project data uploaded by each project participant through the full-process engineering consulting information sharing platform; For details, please refer to step S102, which will not be described in detail here.

[0050] S206, determining the project risk problem and the solution corresponding to the project risk problem based on the real-time project data and the project schedule, the project material plan and the project safety plan, wherein the implementation project data includes the real-time project schedule, the real-time project material and the real-time project safety report; For details, please refer to step S103, which will not be described in detail here.

[0051] S207. According to the corresponding responsibilities and authorities of each project participant, the project risk problem and the solution to the project risk problem are sent as a processing task to the responsible project participant through the full-process engineering consulting information sharing platform; For details, please refer to step S104, which will not be described in detail here.

[0052] S208. Obtain the evaluation revision of the solution by the responsible project participants; Responsible project participants refer to those who are directly responsible for a specific solution or have professional evaluation capabilities, such as design units, construction units or professional consultants. Evaluation and modification refers to professional judgments and modification suggestions on the quality, feasibility and effectiveness of the original solution.

[0053] This step is usually performed after the preliminary solution is proposed and before it is officially implemented. Its purpose is to optimize the solution by gathering professional opinions and improve its feasibility and effectiveness. Specifically, the server first determines the responsible project participants who need to participate in the evaluation based on the content and nature of the solution. Then, the server sends evaluation correction requests to these responsible project participants through the project management system or a dedicated evaluation platform, and provides complete solution documents and evaluation guidelines. The evaluation guidelines may include key areas that need to be focused on, scoring criteria, and feedback formats. The server will set up a personalized evaluation interface for each responsible project participant, which may include a structured scoring table, an open opinion column, and a modification suggestion area. During the evaluation process, the server may monitor the evaluation progress in real time and send reminders when necessary. For the evaluation corrections received, the server will conduct preliminary data analysis to identify common problems and key modification points. If major differences are found in the evaluation corrections, the server may trigger additional coordination mechanisms, such as organizing online discussions. Finally, the server will summarize all evaluation suggestions and correction suggestions to generate a comprehensive report.

[0054] S209. According to the evaluation, the solution corresponding to the risk problem of the project is modified and adjusted to obtain an optimized solution; Adjustment is used to refer to the process of improving and perfecting the original solution based on the evaluation and revision. The optimized solution is a solution that is more effective, feasible and has lower risks after adjustment and improvement.

[0055] This step is usually performed immediately after collecting the evaluation and revision opinions of the responsible project participants. Its purpose is to use professional evaluation to improve the original solution and enhance its ability to deal with project risks. Specifically, the server first organizes and analyzes the collected evaluation revisions, which may include statistical analysis of quantitative scores to identify the parts of the solution with lower evaluations, and text analysis of qualitative opinions to extract key modification suggestions. Then, the server will sort the various modification suggestions according to the preset priority rules. High-priority modifications may include problems pointed out by multiple evaluators or suggestions directly related to core risks. Next, the server will review these modification suggestions one by one to assess their impact and feasibility. For the adopted modification suggestions, the server will adjust the relevant parts of the original solution accordingly. This process may involve modifying the solution text, updating risk assessment data, adjusting resource allocation plans, etc. During the adjustment process, the server will also check whether the modification introduces new potential risks or conflicts with other parts. If potential problems are found, the server may initiate additional evaluation processes. Finally, the server integrates all adjustments into a new optimized solution and generates a detailed modification report explaining the reasons and expected effects of each adjustment.

[0056] S210, associating the project risk problem and the optimization solution and storing them in the risk knowledge base; First, the server will standardize the project risk issues and optimization solutions, which may include assigning unique identifiers to project risk issues, classifying and quantifying attributes such as risk type, severity, and probability of occurrence. For optimization solutions, the server may extract key elements such as required resources, implementation steps, expected effects, etc. and structure them. Then, the server will create new entries or update existing entries in the risk knowledge base. In this process, the server will establish a clear link between the project risk problem and the optimization solution, which may use foreign key relationships in relational databases or edge connections in graph databases. At the same time, the server may also associate this pair of project risk problems-optimization solutions with other related entities, such as the project to which it belongs, the business area involved, the responsible parties involved, etc. In order to improve the usability of the risk knowledge base, the server may generate metadata tags, including keywords, timestamps, contributor information, etc. In addition, the server may perform data consistency checks to ensure that the newly added entries do not conflict with existing entries in the risk knowledge base. Finally, the server will update the indexing and search functions of the risk knowledge base so that the newly added entries can be effectively retrieved and utilized.

[0057] S211. When it is determined that the responsible project participant has completed the processing task, the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform are reviewed; For details, please refer to step S105, which will not be described in detail here.

[0058] S212. When the review is passed, it is determined that the project risk issues have been resolved.

[0059] For details, please refer to step S106, which will not be described in detail here.

[0060] S213. Obtain the processing efficiency of each project risk issue; In step S104, the server uploads the project risk issues and solutions to the designated area of ​​the full-process engineering consulting information sharing platform so that all project participants can view them, and sends task notifications to each relevant project participant (i.e., responsible project participant) through the task allocation module of the full-process engineering consulting information sharing platform. The above operations can be performed at the same time, and the server records this time as the first time. The server records the time of approval in step S106 as the second time. The time difference between the second time and the first time is used as the processing rate of the project risk issues.

[0061] S214: improving the solution corresponding to the project risk problem whose processing efficiency is lower than a preset threshold, associating the improved solution with the project risk problem, and storing the improved solution in the risk knowledge base.

[0062] The server will first evaluate the efficiency of all solutions in the risk knowledge base and determine the time required to complete each solution. The time difference obtained in step S213 is compared with the solution time corresponding to the solution to determine the time difference. If the time difference exceeds the preset time difference threshold, it means that the processing efficiency is lower than the preset threshold. The solution corresponding to the project risk problem can be improved and the improved solution can be associated with the project risk problem and stored in the risk knowledge base. The association and storage in the risk knowledge base can refer to step S210, which will not be repeated here.

[0063] The following describes the server in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , is a schematic diagram of a physical device structure of a server in an embodiment of the present application.

[0064] It should be noted that Figure 3 The structure of the server shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0065] like Figure 3 As shown, the server includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0066] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0067] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0068] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0069] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0070] Specifically, the server of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the full-process engineering consulting information sharing method provided in the above embodiment is implemented.

[0071] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the server described in the above embodiment; or may exist independently without being assembled into the server. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the server, the server implements the full-process engineering consulting information sharing method provided in the above embodiment.

[0072] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0073] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0074] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A whole-process engineering consulting information sharing method, characterized in that: Applied to a server, the method comprises: Establishing a full-process engineering consulting information sharing platform based on the basic project data, wherein the basic project data includes a project schedule, a project material plan, and a project safety plan, and the full-process engineering consulting information sharing platform includes the corresponding responsibilities and authorities of each project participant; Acquire real-time project data uploaded by each project participant through the full-process engineering consulting information sharing platform; Determine project risk issues and solutions corresponding to the project risk issues based on the real-time project data and the project schedule, the project materials plan, and the project safety plan, wherein the implementation project data includes real-time project schedule, real-time project materials, and real-time project safety reports; According to the corresponding responsibilities and authorities of each project participant, the project risk issues and the solutions corresponding to the project risk issues are sent as processing tasks to the responsible project participants through the full-process engineering consulting information sharing platform; When it is determined that the responsible project participant has completed the processing task, review the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform; When the review is passed, it is determined that the project risk issues are resolved.

2. The method according to claim 1, characterized in that The determining of project risk issues and solutions corresponding to the project risk issues based on the real-time project data and the project schedule, the project material plan, and the project safety plan specifically includes: When the real-time project progress lags behind the project progress plan by more than a preset time threshold, determining a project progress risk; When the real-time project material usage does not match the project material usage plan, determining the project material usage risk; Identify project safety risks when real-time project safety reports indicate safety incidents have occurred; According to the project progress risk, the project material risk and the project safety risk, the risk knowledge base is queried to determine the solution corresponding to the project risk problem.

3. The method according to claim 1, characterized in that When determining that the responsible project participant has completed the processing task, reviewing the processing results uploaded by the responsible project participant through the full-process engineering consulting information sharing platform, specifically including: Conduct integrity review on uploaded processing results; When it is determined that the processing result is complete, sending the processing result to multiple audit project participants; After the multiple audit project participants have passed, the audit is determined to be completed.

4. The method according to claim 3, characterized in that After the step of sending the processing result to multiple audit project participants when determining that the processing result is complete, the method further includes: If any audit project participant does not approve the processing result, a prompt to resubmit the processing result will be sent to the responsible project participant.

5. The method according to claim 1, characterized in that Before the step of establishing a full-process engineering consulting information sharing platform based on the project basic data, the method further includes: Extract the shared list of project information from the project management system; Sending the project information sharing list to each project participant to determine the accuracy of the project information sharing list; After confirming that the project information sharing list is accurate, the basic project data is obtained.

6. The method according to claim 2, characterized in that After the step of sending the project risk issues and the solutions corresponding to the project risk issues as processing tasks to the responsible project participants through the full-process engineering consulting information sharing platform according to the corresponding responsibilities and authorities of the respective project participants, the method further includes: Obtaining the evaluation revision of the solution by the responsible project participants; Correct and adjust the solution corresponding to the project risk problem according to the evaluation to obtain an optimized solution; The project risk problem and the optimization solution are associated and stored in the risk knowledge base.

7. The method according to claim 2, characterized in that After the step of determining that the project risk problem is resolved when the audit is passed, the method further includes: Obtain the efficiency of handling risk issues of each project; The solution corresponding to the project risk problem whose processing efficiency is lower than a preset threshold is improved, and the improved solution is associated with the project risk problem and stored in the risk knowledge base.

8. A server, characterized in that: The server includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the server to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a server, the server is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a server, the server is caused to execute the method according to any one of claims 1 to 7.

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