Method and system for whole-process engineering consultation in EPC project

Abstract

The invention discloses a method and system for whole-process engineering consultation in an EPC project, and the method comprises the following steps: 1, a project starting and planning stage: starting a project planning module, and making a project overall target and a stage plan according to the overall demands of the EPC project; 2, a design optimization stage: starting a design optimization module according to a target and a plan formulated in the planning stage; 3, a purchase management stage: starting a purchase management module, and making a detailed equipment and material purchase plan according to the optimized design scheme; 4, a construction supervision and quality control stage: starting a construction supervision module, and arranging a high-definition camera and a sensor to monitor a construction site in real time; and 5, a completion acceptance and delivery stage: starting a completion acceptance module. The system integrates multiple links, depends on an informatization system and utilizes an intelligent technology, realizes efficient collaboration, intelligent management and accurate risk control, and improves EPC project management benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project management, and in particular to a method and system for full-process engineering consulting in an EPC project. Background Art

[0002] In EPC projects, traditional engineering consulting methods often adopt a segmented management model, where the planning, design, procurement, construction and other aspects of the project are assigned to different teams or organizations.

[0003] Although this approach can meet project needs to a certain extent, the lack of effective coordination and communication between various links can easily lead to information gaps, resource waste, and schedule delays. With the expansion of project construction scale and the increase in complexity, the limitations of the traditional segmented management model are becoming increasingly prominent. In addition, some existing engineering consulting methods, such as entrusting a third-party supervision agency to conduct full-process supervision or adopting an information management system, also have problems such as high cost, easy dependence, and insufficient system integration. Therefore, a method and system for full-process engineering consulting in EPC projects are proposed. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for full-process engineering consulting in an EPC project to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for full-process engineering consulting in an EPC project, comprising the following steps: Step 1: Project Initiation and Planning: Start the project planning module. Based on the overall requirements of the EPC project, formulate the overall project goals and phased plans, clarify the division of responsibilities and time nodes for each link, and determine the storage and management methods for project data, including selecting an appropriate database platform. Step 2, Design Optimization Phase: Start the design optimization module and use BIM technology to optimize the design scheme based on the goals and plans established in the planning phase to ensure the accuracy and operability of the design scheme while improving design efficiency and quality. During the design optimization process, the design optimization module interacts with the database platform to obtain design data and reference materials. Step 3, Procurement Management Phase: Start the procurement management module, formulate a detailed equipment and material procurement plan based on the optimized design plan, and implement procurement process management to ensure that the quality and progress of purchased materials meet project requirements; the procurement management module obtains supplier information and material price data through the database platform; Step 4: Construction Supervision and Quality Control: Activate the construction supervision module, equipped with high-definition cameras and sensors to monitor the construction site in real time to ensure that construction progress and quality meet design requirements. Use BIM technology for construction simulation and collision detection to identify and resolve potential problems in advance. The construction supervision module uploads on-site data to the database platform in real time for sharing and analysis by other modules. Step 5, Completion Acceptance and Delivery Phase: Launch the completion acceptance module and organize relevant parties to conduct project acceptance and delivery. Based on the contract requirements and project goals, conduct a comprehensive assessment of the project's quality, progress, and cost to ensure smooth project delivery and commissioning. The completion acceptance module obtains data and records from the database platform throughout the project lifecycle as the basis for acceptance and evaluation. The systematic process of full-process engineering consultation in this EPC project has significant advantages. During the project initiation and planning phase, by formulating detailed overall project goals and phased plans, clarifying the division of responsibilities and time nodes, and selecting an appropriate database platform, a solid foundation was laid for the orderly development of the project, ensuring the efficient storage and management of project data. Entering the design optimization phase, the use of BIM technology to optimize the design solution not only improved the accuracy and operability of the design, but also significantly improved the design efficiency and quality. At the same time, the interaction between the design optimization module and the database platform made the design process more data-driven and scientific. During the procurement management phase, a detailed procurement plan is developed based on the optimized design plan, and supplier information and material price data are obtained through the database platform, effectively ensuring the quality and progress of purchased materials and reducing procurement costs. During the construction supervision and quality control phase, high-definition cameras and sensors are used to monitor the construction site in real time. Construction simulation and collision detection are combined with BIM technology to detect and resolve potential problems in advance, ensuring construction progress and quality. At the same time, the real-time uploading of on-site data also promotes the sharing and analysis of project information. Finally, during the completion acceptance and delivery phase, a comprehensive assessment is conducted based on contract requirements and project objectives to ensure the smooth delivery and commissioning of the project. The full-cycle data and records provided by the database platform provide a strong basis for acceptance and evaluation. The entire process, through the close cooperation of various modules and the data support of the database platform, achieves efficient project management and quality control, significantly improving the overall efficiency and competitiveness of the EPC project.

[0006] Preferably, the project planning module in step 1 further includes a preliminary assessment of project risks and the formulation of risk response strategies to provide a reference for subsequent design, procurement and construction steps; In the project planning module in step one, a preliminary assessment of the project's risks and the formulation of risk response strategies are added. This measure significantly improves the scientific nature and foresight of the EPC project's full-process engineering consulting method. Through comprehensive identification and assessment of potential project risks, the project team can identify possible challenges and obstacles at the beginning of the project, and thus formulate risk response strategies in a targeted manner. This not only provides an important reference basis for subsequent design, procurement and construction links, helps the team avoid risks and reduce unnecessary losses in the decision-making process, but also enhances the overall risk resistance of the project. In addition, the formulation of risk response strategies also helps the project team to respond to emergencies more calmly during the project execution process, ensure that the project can proceed smoothly according to the established goals and plans, and ultimately improve the overall efficiency of project management and the quality of project results.

[0007] Preferably, the design optimization module in step 2 further includes the introduction of artificial intelligence technology, which analyzes historical design data through machine learning algorithms to provide intelligent suggestions for the current design, thereby improving design efficiency and quality; By using machine learning algorithms to conduct in-depth analysis of historical design data, artificial intelligence technology can provide intelligent suggestions for current design tasks, greatly improving design efficiency and quality. This innovation not only makes the design process more scientific and precise, reducing errors and omissions caused by human factors, but also can quickly identify potential optimization points in the design and promote the continuous optimization of design solutions. In addition, the introduction of artificial intelligence technology has also promoted the accumulation and inheritance of design knowledge, enabling the design team to make full use of historical experience, avoid repetitive work, and accelerate design innovation. In short, this initiative not only improves the intelligence level of design work, but also significantly enhances the core competitiveness of EPC project full-process engineering consulting, laying a solid foundation for the efficient and high-quality completion of the project.

[0008] Preferably, the procurement management module in step 3 further includes evaluating and managing suppliers, establishing a supplier database, and ensuring the quality of purchased materials and supply stability; Through strict evaluation of suppliers, suppliers with good reputation and reliable quality can be screened out, thereby ensuring that the quality of purchased materials meets project requirements. At the same time, the establishment of a supplier database facilitates unified management and tracking of materials required for the project, thereby improving the transparency and efficiency of the procurement process. This not only helps to reduce procurement costs, but also ensures the stability of supply and avoids project delays or quality risks caused by supplier problems. In addition, continuous management and regular evaluation of suppliers can motivate suppliers to continuously improve service quality, form a healthy competition mechanism, and further ensure the smooth implementation and high-quality completion of EPC projects. This measure reflects the professionalism and refinement of the whole-process engineering consulting in the procurement management link, and provides strong support for the successful implementation of the project.

[0009] Preferably, the completion acceptance module in step 5 also includes post-evaluation of the project, summarizing and analyzing the implementation effect of the project to provide reference and inspiration for subsequent projects; By comprehensively and systematically summarizing and analyzing the project implementation effects, the post-evaluation work can not only objectively reflect the actual results of the project, but also deeply explore the successful experiences and shortcomings in the project implementation process. This initiative provides valuable reference and reference for subsequent projects, and helps the project team learn lessons, optimize processes, and improve project management in various links such as project planning, design, procurement and construction. At the same time, the post-evaluation work can also enhance the project team's risk awareness and continuous improvement awareness, and promote the continuous improvement and innovation of the project management system. In short, the introduction of post-evaluation work enables EPC project full-process engineering consulting to focus not only on the current implementation of the project, but also on the long-term development of the project, providing strong support for improving project management efficiency and project results quality.

[0010] Preferably, the database platform uses a cloud server for remote access and backup of project data, improving data security and reliability. The cloud server provides high availability and scalability, ensuring that project data can be accessed and used safely and quickly at any time, while supporting multi-user concurrent access and large-scale data storage requirements; Cloud servers not only enable remote access and backup of project data, greatly improving data security and reliability, but also ensure that project data can be safely and quickly accessed and used at any time through their high availability and scalability. This feature is crucial for EPC projects that require frequent data interaction and real-time data updates, effectively avoiding project risks caused by data loss or access delays. At the same time, cloud servers support multi-user concurrent access and large-scale data storage requirements, meeting the project team's needs for data sharing and collaboration in all aspects, and improving team work efficiency. In short, the application of cloud servers makes data management of the entire engineering consulting process of EPC projects more efficient, flexible and secure, providing a solid technical guarantee for the smooth implementation and high-quality completion of projects.

[0011] Preferably, the high-definition camera in the construction supervision module is based on a drone device, which performs panoramic monitoring and real-time data transmission of the construction site; Drone equipment can perform panoramic monitoring, breaking through the limitations of the field of view of traditional monitoring equipment, and providing a more comprehensive and all-round view of the construction site, which helps supervisors to capture details and potential problems in construction in a timely manner. At the same time, drone equipment has real-time data transmission capabilities, which can quickly transmit real-time images of the construction site back to the monitoring center, so that supervisors can immediately grasp the construction dynamics and respond quickly. The application of this technology not only improves the efficiency and accuracy of construction supervision, but also enhances the safety management level of the construction site, which helps to prevent the occurrence of construction accidents. In addition, the flexibility and convenience of drone equipment also greatly reduces the workload of supervisors and improves the intelligence level of construction supervision. In short, the introduction of drone equipment has injected new vitality into the construction supervision module and provided a strong guarantee for the smooth progress of EPC projects.

[0012] Preferably, the system further includes step 6, performance monitoring and strategy optimization: continuously monitoring the system's operating status and key performance indicators, optimizing and adjusting the system strategy based on the monitoring results to ensure long-term stable operation of the system and adapt to changes in project requirements; Optimize and adjust strategies and standards; 1. Dynamic threshold warning and response mechanism, monitoring indicators: Set dynamic thresholds for key performance indicators (KPIs) (such as cost deviation rate, schedule delay days, quality defect density, etc.), and develop graded warning standards (such as green / normal, yellow / warning, red / alarm) based on historical data, industry benchmarks, and project goals; Response strategy: Red alert: Trigger an emergency meeting and formulate a corrective plan within 24 hours (such as adjusting resource allocation and optimizing construction plans); Yellow alert: Initiate special analysis (such as supplier performance review, design plan review), and provide optimization suggestions within 5 working days; Green normal: Generate regular analysis reports (such as monthly performance summary) to identify potential improvement points; 2. Data-driven intelligent optimization model and machine learning algorithm: Using regression analysis, decision tree algorithms, and other algorithms, this model learns from historical project data (e.g., cost overrun cases, causes of construction delays) to generate predictive models (e.g., cost risk prediction, probability of construction delays). Optimized decision support includes: supplier selection: automatically recommending priorities based on supplier historical performance data (on-time delivery rate, quality compliance rate); design solution adjustment: recommending more economical alternatives based on BIM model collision detection results and cost databases. 3. Supply chain flexibility management standards and supplier tiering: Establish a supplier database, categorizing suppliers into three levels (A / B / C) based on qualifications, cooperation history, and response speed, with priority given to purchasing materials from Class A suppliers. Dynamic inventory adjustments: Based on construction progress forecasts (e.g., demand over the next 30 days) and market price fluctuations, dynamically adjust safety stock levels (e.g., steel inventory levels controlled at 15%-20% of weekly demand); 4. Schedule-cost collaborative optimization rules, Critical Path Method (CPM): Update the project network diagram weekly, identify the critical path, and prioritize key node resources (such as personnel and equipment). Earned Value Method (EVM): Calculate cost variance (CV) and schedule variance (SV). If CV < -10% or SV < -15%, initiate the change management process (such as adjusting procurement plans and optimizing construction processes). 5. Closed-loop management of quality risks and root cause analysis (RCA): For quality defects (such as substandard concrete strength), the "5 Why analysis method" is used to trace the cause back to the design, construction, or material links, and to formulate targeted improvement measures (such as adjusting the mix ratio or changing suppliers). Improvement effect verification: After implementing the improvement measures, the results are verified through on-site sampling and testing (such as a sampling rate of ≥10% for each batch of materials), forming a closed-loop record. This strategy uses a database platform (cloud server) to achieve data integration and automated analysis, ensuring that each module (design optimization, procurement management, construction supervision, etc.) is collaboratively optimized based on a unified data source. The performance monitoring module generates a daily "Project Health Report" including a KPI dashboard, risk warning list, and optimization suggestions for reference by decision-makers.

[0013] By continuously monitoring the system's operating status and key performance indicators, the project team can understand the system's health status in real time, promptly identify potential performance bottlenecks or hidden faults, and optimize and adjust system strategies based on the monitoring results to ensure that the system always maintains the best operating state, improve system stability and reliability, and reduce project delays or losses caused by system failures. In addition, performance monitoring and strategy optimization steps also help the system adapt to changes in project requirements. As the project progresses and the external environment changes, the system can flexibly adjust its strategy to meet new business needs and maintain efficient operation. The introduction of this step reflects the forward-looking and dynamic nature of full-process engineering consulting, provides a strong guarantee for the long-term stable operation of the project, and improves the overall level of project management and the ability to respond to changes.

[0014] A system for full-process engineering consulting in an EPC project, based on the above-mentioned method for full-process engineering consulting in an EPC project, includes: Project planning module, used to formulate overall project goals and phased plans; Design optimization module, used to optimize the design scheme based on the output of the planning module; Procurement management module, used to manage the procurement process of equipment and materials; Construction supervision module, used to monitor construction progress and quality; Completion acceptance module, used to organize project acceptance and delivery; Database platform, used to realize data sharing and interaction among modules; Risk management module, used to conduct preliminary assessment of project risks and formulate response strategies; Supplier management module, used to evaluate and manage suppliers; Personnel training and assessment module, used to train and assess construction personnel; Performance monitoring and optimization module, used to continuously monitor the system's operating status and key performance indicators, and optimize and adjust system strategies based on the monitoring results; The full-process engineering consulting system in this EPC project integrates multiple key modules, providing comprehensive and efficient support for the smooth implementation of the project. The project planning module clarifies the project goals and plans, laying a solid foundation for subsequent work. The design optimization module makes fine adjustments to the design scheme based on the planning output, improving the rationality and feasibility of the design. The procurement management module ensures the timely supply and quality control of equipment and materials, reducing procurement costs and risks. The construction supervision module monitors the construction progress and quality in real time, ensuring the safety and efficiency of the project. The completion acceptance module strictly controls the project results and ensures the smooth delivery of the project. The database platform serves as the data hub between modules, enabling information sharing and interaction, improving work efficiency and decision-making accuracy. The risk management module identifies and addresses potential risks in advance, enhancing the project's risk resistance. The supplier management module optimizes the supplier selection and management process, ensuring the stability of material supply. The personnel training and assessment module enhances the professional skills and quality of construction personnel, providing a strong guarantee for project quality. The performance monitoring and optimization module is one of the highlights of the system. It continuously monitors the system's operating status and adjusts strategies based on key performance indicators to ensure the system's long-term stable operation and adapt to changing project requirements. The comprehensive application of this system not only improves the management level of EPC projects, but also significantly enhances the overall efficiency and competitiveness of the projects.

[0015] In summary, compared with the existing technology, the present invention provides a method and system for full-process engineering consulting in EPC projects, which has the following beneficial effects: through the integrated consulting model, it breaks the limitations of traditional segmented management, integrates project planning, design, procurement and construction into a unified framework, achieves seamless connection and efficient collaboration among all links, effectively avoids problems such as information gaps, resource waste and schedule delays, and greatly improves the overall efficiency and quality of project management; The highly integrated information management system utilizes high-performance servers or cloud servers as a database platform, supporting concurrent access by multiple users and ensuring real-time sharing and interaction of project data. Furthermore, the introduction of BIM technology, high-definition cameras, sensors, and artificial intelligence not only enables real-time monitoring and precise management of construction sites, but also enables early detection of potential problems through construction simulation and collision detection, further enhancing the intelligent level of project management. The intelligent risk prediction and response mechanism uses machine learning algorithms to conduct in-depth analysis of project data, accurately predict potential risks, and provide targeted solutions, thereby enhancing the project's risk resistance and ensuring the smooth progress and delivery of the project. In short, this invention provides a comprehensive, efficient, and intelligent engineering consulting solution for EPC projects, with broad application prospects and significant social and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the method of full-process engineering consulting in the EPC project of the present invention.

[0017] Figure 2 It is a system diagram of the whole process engineering consultation in the EPC project of the present invention. DETAILED DESCRIPTION

[0018] This invention provides a technical solution, a method for full-process engineering consulting in EPC projects, please refer to Figure 1 and Figure 2, including the following steps: Step 1: Project Initiation and Planning: Start the project planning module. Based on the overall requirements of the EPC project, formulate the overall project goals and phased plans, clarify the division of responsibilities and time nodes for each link, and determine the storage and management methods for project data, including selecting an appropriate database platform. Step 2, Design Optimization Phase: Start the design optimization module and use BIM technology to optimize the design scheme based on the goals and plans established in the planning phase to ensure the accuracy and operability of the design scheme while improving design efficiency and quality. During the design optimization process, the design optimization module interacts with the database platform to obtain design data and reference materials. Step 3, Procurement Management Phase: Start the procurement management module, formulate a detailed equipment and material procurement plan based on the optimized design plan, and implement procurement process management to ensure that the quality and progress of purchased materials meet project requirements; the procurement management module obtains supplier information and material price data through the database platform; Step 4: Construction Supervision and Quality Control: Activate the construction supervision module, equipped with high-definition cameras and sensors to monitor the construction site in real time to ensure that construction progress and quality meet design requirements. Use BIM technology for construction simulation and collision detection to identify and resolve potential problems in advance. The construction supervision module uploads on-site data to the database platform in real time for sharing and analysis by other modules. Step 5, Completion Acceptance and Delivery Phase: Launch the completion acceptance module and organize relevant parties to conduct project acceptance and delivery. Based on the contract requirements and project goals, conduct a comprehensive assessment of the project's quality, progress, and cost to ensure smooth project delivery and commissioning. The completion acceptance module obtains data and records from the database platform throughout the project lifecycle as the basis for acceptance and evaluation. The systematic process of full-process engineering consultation in this EPC project has significant advantages. During the project initiation and planning phase, by formulating detailed overall project goals and phased plans, clarifying the division of responsibilities and time nodes, and selecting an appropriate database platform, a solid foundation was laid for the orderly development of the project, ensuring the efficient storage and management of project data. Entering the design optimization phase, the use of BIM technology to optimize the design solution not only improved the accuracy and operability of the design, but also significantly improved the design efficiency and quality. At the same time, the interaction between the design optimization module and the database platform made the design process more data-driven and scientific. During the procurement management phase, a detailed procurement plan is developed based on the optimized design plan, and supplier information and material price data are obtained through the database platform, effectively ensuring the quality and progress of purchased materials and reducing procurement costs. During the construction supervision and quality control phase, high-definition cameras and sensors are used to monitor the construction site in real time. Construction simulation and collision detection are combined with BIM technology to detect and resolve potential problems in advance, ensuring construction progress and quality. At the same time, the real-time uploading of on-site data also promotes the sharing and analysis of project information. Finally, during the completion acceptance and delivery phase, a comprehensive assessment is conducted based on contract requirements and project objectives to ensure the smooth delivery and commissioning of the project. The full-cycle data and records provided by the database platform provide a strong basis for acceptance and evaluation. The entire process, through the close cooperation of various modules and the data support of the database platform, achieves efficient project management and quality control, significantly improving the overall efficiency and competitiveness of the EPC project.

[0019] See also Figure 1 and Figure 2 ,The project planning module in step 1 also includes a preliminary assessment of the ,project risks and the formulation of risk response strategies to ,provide a reference for the subsequent design, procurement and ,construction stages; In the project planning module in step one, a preliminary assessment of project risks and the formulation of risk response strategies are added. This measure significantly improves the scientific nature and foresight of the EPC project's full-process engineering consulting method. Through comprehensive identification and assessment of potential project risks, the project team can identify possible challenges and obstacles at the beginning of the project, and thus formulate targeted risk response strategies. This not only provides an important reference basis for subsequent design, procurement and construction links, helps the team avoid risks and reduce unnecessary losses in the decision-making process, but also enhances the overall risk resistance of the project. In addition, the formulation of risk response strategies also helps the project team to deal with emergencies more calmly during project execution, ensure that the project can proceed smoothly according to the established goals and plans, and ultimately improve the overall efficiency of project management and the quality of project results.

[0020] See also Figure 1 and Figure 2 ,The design optimization module in step 2 also includes the introduction of artificial intelligence ,technology, which analyzes historical design data through machine learning ,algorithms, and provides intelligent suggestions for the current design to ,improve design efficiency and quality; By using machine learning algorithms to conduct in-depth analysis of historical design data, artificial intelligence technology can provide intelligent suggestions for current design tasks, greatly improving design efficiency and quality. This innovation not only makes the design process more scientific and precise, reducing errors and omissions caused by human factors, but also can quickly identify potential optimization points in the design and promote the continuous optimization of design solutions. In addition, the introduction of artificial intelligence technology has also promoted the accumulation and inheritance of design knowledge, enabling the design team to make full use of historical experience, avoid repetitive work, and accelerate design innovation. In short, this initiative not only improves the intelligence level of design work, but also significantly enhances the core competitiveness of EPC project full-process engineering consulting, laying a solid foundation for the efficient and high-quality completion of the project.

[0021] See also Figure 1 and Figure 2 ,The procurement management module in step three also includes evaluating and managing ,suppliers, establishing a supplier database to ensure the quality and ,stable supply of purchased materials; Through strict evaluation of suppliers, suppliers with good reputation and reliable quality can be screened out, thereby ensuring that the quality of purchased materials meets project requirements. At the same time, the establishment of a supplier database facilitates unified management and tracking of materials required for the project, thereby improving the transparency and efficiency of the procurement process. This not only helps to reduce procurement costs, but also ensures the stability of supply and avoids project delays or quality risks caused by supplier problems. In addition, continuous management and regular evaluation of suppliers can motivate suppliers to continuously improve service quality, form a healthy competition mechanism, and further ensure the smooth implementation and high-quality completion of EPC projects. This measure reflects the professionalism and refinement of the whole-process engineering consulting in the procurement management link, and provides strong support for the successful implementation of the project.

[0022] See also Figure 1 and Figure 2 ,The completion acceptance module in step five also includes post-evaluation of the project, ,which summarizes and analyzes the implementation effect of the project, ,providing reference and reference for subsequent projects; By comprehensively and systematically summarizing and analyzing the project implementation effects, the post-evaluation work can not only objectively reflect the actual results of the project, but also deeply explore the successful experiences and shortcomings in the project implementation process. This initiative provides valuable reference and reference for subsequent projects, and helps the project team learn lessons, optimize processes, and improve project management in various links such as project planning, design, procurement and construction. At the same time, the post-evaluation work can also enhance the project team's risk awareness and continuous improvement awareness, and promote the continuous improvement and innovation of the project management system. In short, the introduction of post-evaluation work enables EPC project full-process engineering consulting to focus not only on the current implementation of the project, but also on the long-term development of the project, providing strong support for improving project management efficiency and project results quality.

[0023] See also Figure 1 and Figure 2 The database platform uses cloud servers for remote access and backup of project data, improving data security and reliability. Cloud servers provide high availability and scalability, ensuring that project data can be accessed and used securely and quickly at any time, while supporting multi-user concurrent access and large-scale data storage requirements. Cloud servers not only enable remote access and backup of project data, greatly improving data security and reliability, but also ensure that project data can be safely and quickly accessed and used at any time through their high availability and scalability. This feature is crucial for EPC projects that require frequent data interaction and real-time data updates, effectively avoiding project risks caused by data loss or access delays. At the same time, cloud servers support multi-user concurrent access and large-scale data storage requirements, meeting the project team's needs for data sharing and collaboration in all aspects, and improving team work efficiency. In short, the application of cloud servers makes data management of the entire engineering consulting process of EPC projects more efficient, flexible and secure, providing a solid technical guarantee for the smooth implementation and high-quality completion of projects.

[0024] See also Figure 1 and Figure 2 ,The high-definition camera in the construction supervision module is based on ,UAV equipment, which performs panoramic monitoring and real-time data transmission of the ,construction site; Drone equipment can perform panoramic monitoring, breaking through the limitations of the field of view of traditional monitoring equipment, and providing a more comprehensive and all-round view of the construction site, which helps supervisors to capture details and potential problems in construction in a timely manner. At the same time, drone equipment has real-time data transmission capabilities, which can quickly transmit real-time images of the construction site back to the monitoring center, so that supervisors can immediately grasp the construction dynamics and respond quickly. The application of this technology not only improves the efficiency and accuracy of construction supervision, but also enhances the safety management level of the construction site, which helps to prevent the occurrence of construction accidents. In addition, the flexibility and convenience of drone equipment also greatly reduces the workload of supervisors and improves the intelligence level of construction supervision. In short, the introduction of drone equipment has injected new vitality into the construction supervision module and provided a strong guarantee for the smooth progress of EPC projects.

[0025] See also Figure 1 and Figure 2 , also includes step 6, performance monitoring and strategy optimization step: continuously monitor the system's operating status and key performance indicators, and optimize and adjust the system strategy based on the monitoring results to ensure the long-term stable operation of the system and adapt to changes in project requirements; Optimize and adjust strategies and standards; 1. Dynamic threshold warning and response mechanism, monitoring indicators: Set dynamic thresholds for key performance indicators (KPIs) (such as cost deviation rate, schedule delay days, quality defect density, etc.), and develop graded warning standards (such as green / normal, yellow / warning, red / alarm) based on historical data, industry benchmarks, and project goals; Response strategy: Red alert: Trigger an emergency meeting and formulate a corrective plan within 24 hours (such as adjusting resource allocation and optimizing construction plans); Yellow alert: Initiate special analysis (such as supplier performance review, design plan review), and provide optimization suggestions within 5 working days; Green normal: Generate regular analysis reports (such as monthly performance summary) to identify potential improvement points; 2. Data-driven intelligent optimization model and machine learning algorithm: Using regression analysis, decision tree algorithms, and other algorithms, this model learns from historical project data (e.g., cost overrun cases, causes of construction delays) to generate predictive models (e.g., cost risk prediction, probability of construction delays). Optimized decision support includes: supplier selection: automatically recommending priorities based on supplier historical performance data (on-time delivery rate, quality compliance rate); design solution adjustment: recommending more economical alternatives based on BIM model collision detection results and cost databases. 3. Supply chain flexibility management standards and supplier tiering: Establish a supplier database, categorizing suppliers into three levels (A / B / C) based on qualifications, cooperation history, and response speed, with priority given to purchasing materials from Class A suppliers. Dynamic inventory adjustments: Based on construction progress forecasts (e.g., demand over the next 30 days) and market price fluctuations, dynamically adjust safety stock levels (e.g., steel inventory levels controlled at 15%-20% of weekly demand); 4. Schedule-cost collaborative optimization rules, Critical Path Method (CPM): Update the project network diagram weekly, identify the critical path, and prioritize key node resources (such as personnel and equipment). Earned Value Method (EVM): Calculate cost variance (CV) and schedule variance (SV). If CV < -10% or SV < -15%, initiate the change management process (such as adjusting procurement plans and optimizing construction processes). 5. Closed-loop management of quality risks and root cause analysis (RCA): For quality defects (such as substandard concrete strength), the "5 Why analysis method" is used to trace the cause back to the design, construction, or material links, and to formulate targeted improvement measures (such as adjusting the mix ratio or changing suppliers). Improvement effect verification: After implementing the improvement measures, the results are verified through on-site sampling and testing (such as a sampling rate of ≥10% for each batch of materials), forming a closed-loop record. This strategy uses a database platform (cloud server) to achieve data integration and automated analysis, ensuring that each module (design optimization, procurement management, construction supervision, etc.) is collaboratively optimized based on a unified data source. The performance monitoring module generates a daily "Project Health Report" including a KPI dashboard, risk warning list, and optimization suggestions for reference by decision-makers.

[0026] By continuously monitoring the system's operating status and key performance indicators, the project team can understand the system's health status in real time, promptly identify potential performance bottlenecks or hidden faults, and optimize and adjust system strategies based on the monitoring results to ensure that the system always maintains the best operating state, improve system stability and reliability, and reduce project delays or losses caused by system failures. In addition, performance monitoring and strategy optimization steps also help the system adapt to changes in project requirements. As the project progresses and the external environment changes, the system can flexibly adjust its strategy to meet new business needs and maintain efficient operation. The introduction of this step reflects the forward-looking and dynamic nature of full-process engineering consulting, provides a strong guarantee for the long-term stable operation of the project, and improves the overall level of project management and the ability to respond to changes.

[0027] A system for full-process engineering consulting in an EPC project, based on the above-mentioned method for full-process engineering consulting in an EPC project, includes: Project planning module, used to formulate overall project goals and phased plans; Design optimization module, used to optimize the design scheme based on the output of the planning module; Procurement management module, used to manage the procurement process of equipment and materials; Construction supervision module, used to monitor construction progress and quality; Completion acceptance module, used to organize project acceptance and delivery; Database platform, used to realize data sharing and interaction among modules; Risk management module, used to conduct preliminary assessment of project risks and formulate response strategies; Supplier management module, used to evaluate and manage suppliers; Personnel training and assessment module, used to train and assess construction personnel; Performance monitoring and optimization module, used to continuously monitor the system's operating status and key performance indicators, and optimize and adjust system strategies based on the monitoring results; The full-process engineering consulting system in this EPC project integrates multiple key modules, providing comprehensive and efficient support for the smooth implementation of the project. The project planning module clarifies the project goals and plans, laying a solid foundation for subsequent work. The design optimization module makes fine adjustments to the design scheme based on the planning output, improving the rationality and feasibility of the design. The procurement management module ensures the timely supply and quality control of equipment and materials, reducing procurement costs and risks. The construction supervision module monitors the construction progress and quality in real time, ensuring the safety and efficiency of the project. The completion acceptance module strictly controls the project results and ensures the smooth delivery of the project. The database platform serves as the data hub between modules, enabling information sharing and interaction, improving work efficiency and decision-making accuracy. The risk management module identifies and addresses potential risks in advance, enhancing the project's risk resistance. The supplier management module optimizes the supplier selection and management process, ensuring the stability of material supply. The personnel training and assessment module enhances the professional skills and quality of construction personnel, providing a strong guarantee for project quality. The performance monitoring and optimization module is one of the highlights of the system. It continuously monitors the system's operating status and adjusts strategies based on key performance indicators to ensure the system's long-term stable operation and adapt to changing project requirements. The comprehensive application of this system not only improves the management level of EPC projects, but also significantly enhances the overall efficiency and competitiveness of the projects.

[0028] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0029] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for full-process engineering consulting in an EPC project, characterized by: The steps include: Step 1: Project Initiation and Planning: Start the project planning module. Based on the overall requirements of the EPC project, formulate the overall project goals and phased plans, clarify the division of responsibilities and time nodes for each link, including selecting the database platform. Step 2: Design Optimization Phase: Start the design optimization module and use BIM technology to optimize the design scheme based on the goals and plans established in the planning phase; During the design optimization process, the design optimization module interacts with the database platform; Step 3, Procurement Management Phase: Start the procurement management module, formulate equipment and material procurement plans based on the optimized design plan, and implement procurement process management; The procurement management module obtains supplier information and material price data through the database platform; Step 4: Construction Supervision and Quality Control: Activate the construction supervision module, equip it with cameras and sensors to monitor the construction site in real time, and use BIM technology to perform construction simulation and collision detection. The construction supervision module uploads the on-site data to the database platform in real time. Step 5, Completion acceptance and delivery phase: Start the completion acceptance module, organize the project acceptance and delivery work, and conduct a comprehensive assessment of the project's quality, progress, and cost based on contract requirements and project goals. The completion acceptance module obtains data and records of the entire project cycle from the database platform.

2. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The project planning module in step one also includes a preliminary assessment of the project's risks and the formulation of risk response strategies.

3. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The design optimization module in step 2 also includes the introduction of artificial intelligence technology, which analyzes historical design data through machine learning algorithms.

4. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The procurement management module in step three also includes evaluating and managing suppliers and establishing a supplier database.

5. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The construction supervision module in step 4 also includes training and assessment of construction personnel.

6. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The completion acceptance module in step five also includes post-evaluation of the project and summarizing and analyzing the implementation effects of the project.

7. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The database platform uses a cloud server to perform remote access and backup of project data.

8. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: The high-definition camera in the construction supervision module is based on a drone device, which performs panoramic monitoring and real-time data transmission on the construction site.

9. The method for full-process engineering consulting in an EPC project according to claim 1, characterized in that: It also includes step six, performance monitoring and strategy optimization step: continuously monitor the system's operating status and key performance indicators, and optimize and adjust the system strategy based on the monitoring results.

10. A system for full-process engineering consulting in an EPC project, using a method for full-process engineering consulting in an EPC project as claimed in any one of claims 1 to 9, characterized in that: include: Project planning module, used to formulate overall project goals and phased plans; Design optimization module, used to optimize the design scheme based on the output of the planning module; Procurement management module, used to manage the procurement process of equipment and materials; Construction supervision module, used to monitor construction progress and quality; Completion acceptance module, used to organize project acceptance and delivery; Database platform, used to realize data sharing and interaction among modules; Risk management module, used to conduct preliminary assessment of project risks and formulate response strategies; Supplier management module, used to evaluate and manage suppliers; Personnel training and assessment module, used to train and assess construction personnel; The performance monitoring and optimization module is used to continuously monitor the system's operating status and key performance indicators, and optimize and adjust system strategies based on the monitoring results.

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