A method for full-process cost control of prefabricated industrial plant projects based on EMPC integration

Abstract

This invention discloses a method for full-process cost control of prefabricated industrial plant projects based on EMPC integration, belonging to the field of building engineering technology. The invention includes an EMPC integrated cost control platform for data integration, and constructs design, production, construction, and operation and maintenance phases based on this platform. In the design phase, quota indicators are broken down according to the total cost benchmark, and costs are calculated using BIM parameters to generate compliance coefficients, which are then compared with tiered thresholds to complete quota optimization. This invention achieves deep collaboration between cost data and project progress and quality indicators, fully releasing the value of the EMPC integrated model in the industrial chain integration, fundamentally solving the problems of disconnected control and insufficient collaboration at each stage. Operation and maintenance data is used to feed back into design optimization, and combined with decommissioning and recycling accounting to complete full life-cycle cost optimization, achieving a dual improvement in project cost and construction efficiency, comprehensively extending the plant's service life and reducing overall life-cycle costs.

Description

Technical Field

[0001] This invention relates to the field of building engineering technology, specifically to a method for full-process cost control of prefabricated industrial plant projects based on EMPC integration. Background Technology

[0002] Prefabricated industrial plants, with their advantages of fast construction speed, green environmental protection, and high degree of industrial integration, have become the core carrier for the green transformation and efficient construction of industrial buildings. The EMPC (design, procurement, manufacturing, and construction) integrated model integrates factory manufacturing links on the basis of the traditional engineering general contracting model, realizing the integration of resources across the entire industrial chain of prefabricated projects. Full-process cost control, as the core management means adapted to the EMPC model, covers the entire life cycle of design, production, construction, and operation and maintenance. It is a key technology to ensure that the cost of prefabricated industrial plants is controllable, the cycle is compliant, and the benefits are optimal. Existing cost control technologies mostly adopt segmented control and static accounting as the main implementation methods.

[0003] Based on the above, it should be noted that: existing prefabricated industrial plant cost control technologies have significant shortcomings. In the traditional model, design, production, construction, and operation and maintenance are implemented by different entities, resulting in fragmented and isolated cost data, creating information silos. The lack of unified control standards easily leads to disjointed control at each stage. The EMPC integrated model has not established a full-process cost data linkage mechanism, and cost data cannot be coordinated with project progress and quality indicators, making it difficult to realize the value of integrated control. The control method relies on static cost estimation, which cannot cope with dynamic changes such as component production losses, material price fluctuations, and construction delays, making it very easy to cause cost overruns. At the same time, the control focus is concentrated on the construction stage, ignoring operation and maintenance cost feedback and decommissioning recovery accounting, and a full life-cycle cost optimization mechanism is completely lacking.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a method for full-process cost control of prefabricated industrial plant projects based on EMPC integration, in order to solve the problems mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for full-process cost control of prefabricated industrial plant projects based on EMPC integration, including an EMPC integrated cost control platform for data integration, and constructing design, production, construction, and operation and maintenance phases based on the EMPC integrated cost control platform.

[0007] During the design phase, the quota indicators are broken down based on the total cost benchmark, and the cost is calculated by combining BIM parameters and generating compliance coefficients. The quota is then optimized by comparing the coefficients with the graded thresholds.

[0008] During the production phase, component production data is collected, compared with the quota benchmark to calculate the deviation, generate cost coefficients, and match thresholds to achieve early warning and production optimization.

[0009] During the construction phase, based on on-site operational data, the deviation between progress and cost is calculated to generate a coordination coefficient, and the process adjustment and change approval are completed by comparing with the threshold.

[0010] During the operation and maintenance phase, full-cycle coefficients are generated based on performance and maintenance data, and the design is fed back by comparison thresholds. During the decommissioning phase, cost optimization is completed by combining recycled data. Throughout the process, dynamic cost control is achieved through step-by-step collection, item-by-item comparison, weighted calculation, and hierarchical judgment.

[0011] Furthermore, the EMPC integrated cost control platform is equipped with a cloud computing server, an IoT data acquisition terminal, and a mobile data entry device. The data layer establishes a unified database to store the total cost control benchmark. BIM component basic parameters The application layer is set up with five functional units: data acquisition, cost conversion, coefficient generation, threshold comparison, and instruction push.

[0012] Furthermore, the design phase first extracts the total cost control benchmark approved in the project initiation. The cost limits for each subsystem are calculated by weighting the costs of the structure, enclosure, and electromechanical systems. Then, the BIM component foundation parameters are obtained by extracting the component dimensions, materials, and quantities from the BIM software through the EMPC integrated cost control platform interface. The preliminary cost of the subsystem is obtained by calculating each item in accordance with the cost quota. .

[0013] Furthermore, the design phase will include the preliminary cost estimates for each system. Subtract the corresponding cost limit benchmark The cost limit offset value is obtained. ; Retrieve preset subsystem cost percentage parameters Offset value from the cost limit The weighted calculation yields the cost limit compliance coefficient. Retrieve the cost limit grading threshold from the platform Compliance coefficient with cost limit By comparing and judging the current range, the compliance status and overspending status are obtained, and optimization instructions are pushed out.

[0014] Furthermore, during the production stage, data on component material usage, processing time, and mold wear are collected piece by piece via IoT terminals, and these data are aggregated to obtain the basic parameters for component production. Production basic parameters Subtract cost quota benchmarks item by item The cost quota deviation value is obtained. Retrieve preset production turnover parameters The production loss offset value was calculated. .

[0015] Furthermore, the production stage will include cost quota deviation values. Offset value with production loss The component production cost coefficient is obtained by weighted calculation. Retrieve production cost grading threshold A warning is triggered by comparing each file individually.

[0016] Furthermore, during the construction phase, the number of components installed, man-days, and machine hours are recorded daily via mobile devices, and the data are summarized to obtain practical construction parameters. Construction practice parameters Subtract the schedule baseline Obtain the progress offset value Completed project cost parameters Subtract the planned cost benchmark Obtain the cost fluctuation value .

[0017] Furthermore, the construction phase will include a schedule offset value. With cost fluctuation value The weighted calculation yields the schedule-cost coordination coefficient. Retrieve progress cost classification threshold Coordination coefficient between schedule and cost Compare and generate process adjustment plans; submit construction changes through the platform, along with BIM change data and cost impact calculation results, complete time-limited approval and update cost benchmarks.

[0018] Furthermore, during the operation and maintenance phase, operation and maintenance monitoring parameters are obtained by collecting data on component cracks and leaks through sensors. The maintenance record parameters are obtained by summarizing the maintenance cost records. ; Maintain record parameters Subtracting the baseline of operation and maintenance costs Obtain the operation and maintenance cost offset value Combined with operation and maintenance monitoring parameters The performance degradation coefficient was calculated. .

[0019] Furthermore, the operation and maintenance phase will offset the operation and maintenance cost value. With performance degradation coefficient Weighted calculation yields the life-cycle cost optimization coefficient. Retrieve the full lifecycle grading threshold Life cycle cost optimization coefficient Comparison and feedback design completes full-cycle cost optimization.

[0020] The beneficial effects of this invention are:

[0021] 1. This invention achieves seamless data integration across the entire process of design, production, construction, and operation and maintenance through the EMPC integrated cost management platform, completely solving the problems of fragmented data and information silos in traditional management and control, and building an integrated cost data system; at the same time, it establishes a full-process cost linkage mechanism to achieve deep collaboration between cost data and project progress and quality indicators, fully releasing the value of the EMPC integrated model in the industrial chain integration, and fundamentally solving the problems of disconnection and insufficient collaboration in management and control at each stage.

[0022] 2. This invention adopts a dynamic cost control method to monitor costs in real time at key nodes such as component production and construction changes, significantly improving the accuracy of cost control and effectively avoiding cost overruns caused by dynamic factors. At the same time, it breaks through the limitations of traditional control that emphasizes construction and neglects operation and maintenance. By using operation and maintenance data to feed back into design optimization and combining it with decommissioning and recycling accounting to complete the optimization of the entire life cycle cost, it achieves a dual improvement in project cost and construction efficiency, comprehensively extends the service life of the plant and reduces the total life cycle cost. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1: Please refer to Figure 1As shown, this embodiment is a method for full-process cost control of prefabricated industrial plant projects based on EMPC integration. It includes an EMPC integrated cost control platform for data integration. Based on the EMPC integrated cost control platform, the design, production, construction and operation and maintenance stages are constructed: In the design stage, the quota indicators are broken down according to the total cost benchmark, the cost is calculated in combination with BIM parameters and compliance coefficients are generated, and the quota optimization is completed by comparing with the graded threshold.

[0027] The EMPC integrated cost control platform is equipped with a cloud computing server, an IoT data acquisition terminal, and a mobile data entry device. The data layer establishes a unified database to store the total cost control benchmark. BIM component basic parameters The application layer is set up with five functional units: data acquisition, cost conversion, coefficient generation, threshold comparison, and instruction push. The hardware layer deploys cloud computing servers for data storage and processing, IoT acquisition terminals for production data acquisition, and mobile input devices for on-site uploading of construction data. The data layer establishes a unified cost database to classify and store basic data and accounting data for all subsequent stages to avoid data dispersion. The application layer develops five functional units, which are respectively responsible for data acquisition, cost conversion, coefficient generation, threshold comparison, and optimization instruction push, forming a complete control closed loop.

[0028] The design phase first extracts the total cost control benchmark approved in the project initiation. By extracting data from project approval documents and local industrial plant construction cost control indicators, the upper limit of the project's total cost control is determined and summarized as the total cost control benchmark. The cost limit benchmarks for each subsystem are calculated by weighting the costs of the structure, enclosure, and electromechanical systems. Based on the cost proportion of the three core systems of prefabricated industrial plants, the structural system accounts for 50%, the enclosure system for 30%, and the electromechanical system for 20%, using the total cost control benchmark. By multiplying each by its corresponding percentage, the specific cost limit benchmarks for each subsystem are obtained. ;

[0029] The component dimensions, materials, and quantities are extracted from the BIM software through the EMPC integrated cost management platform interface, and then summarized to obtain the basic parameters of the BIM components. ;

[0030] Based on local construction engineering consumption quotas and material market prices, the basic parameters of BIM components are... Analyzing each component individually, the cost of a single component = the quantity of components × the corresponding unit price. By summing the costs of all components in the same system, the preliminary cost of the subsystem is obtained. .

[0031] The design phase will include the preliminary cost estimates for the subsystems. Subtract the corresponding cost limit benchmark By using item-by-item difference comparison, preliminary cost estimates for each subsystem are obtained. Subtract the corresponding subsystem cost limit benchmark The cost limit offset value is obtained. A positive result indicates an overspending, while a negative result indicates a surplus.

[0032] Retrieve preset subsystem cost percentage parameters Offset value from the cost limit Using a weighted integration formula: ,in, , Represented as the cost limit offset value Subsystem cost percentage parameters Weighting coefficients; This is represented as the cost limit offset value; This is expressed as a parameter representing the proportion of subsystem cost. This is expressed as the compliance coefficient for the cost limit;

[0033] Retrieve cost limit grading thresholds from the platform Cost limit tier threshold The value ranges from 1 to 1.5, which sets the threshold for different levels of cost limits. Compliance coefficient with cost limit Compare and determine the range:

[0034] If the cost limit compliance coefficient <Cost Limit Classification Thresholds If the lower limit is 1, it is judged to be in a compliant state;

[0035] If the cost limit is tiered threshold The lower limit 1 ≤ cost limit compliance coefficient ≤ Cost Limit Classification Threshold If the upper limit is 1.5, it is judged as a slight overspending situation;

[0036] If the cost limit compliance coefficient > Cost limit grading threshold If the upper limit is 1.5, it is judged as a severely overvalued state;

[0037] This information is used to determine compliance status and cost overrun status, and to push optimization instructions. For cost overrun status, instructions for adjusting component dimensions and replacing materials with economical ones are pushed.

[0038] Example 2: Production losses of prefabricated components are highly concealed and have large errors in manual statistics. It is necessary to collect data in real time through the Internet of Things and compare it with the quota item by item to achieve dynamic cost monitoring.

[0039] During the production phase, component production data is collected, compared with the quota benchmark to calculate deviations, generate cost coefficients, and match thresholds to achieve early warning and production optimization. Data is collected piece-by-piece and process-by-process using IoT weighing sensors and time recorders, including concrete usage, steel reinforcement usage, processing time, and mold wear counts for each precast component. This data is uploaded and summarized in real time to obtain the basic parameters for component production. ;

[0040] By retrieving industry standards for precast component production quotas, the unit component material consumption quota, labor hour quota, and mold wear quota are determined, which serve as the cost quota benchmark. By using item-by-item difference comparison, the basic parameters of component production are used. Subtract the cost quota benchmark from the actual usage and actual working hours for each item. The cost quota deviation value is calculated from the corresponding quota data. A positive result indicates excessive consumption, while a negative result indicates savings.

[0041] Production basic parameters Subtract cost quota benchmarks item by item The cost quota deviation value is obtained. Retrieve preset production turnover parameters The production loss offset value was calculated. Combined with component production turnover parameters The production loss offset value is calculated by subtracting the standard loss rate from the actual loss rate and the number of production turnovers and inventory turnover days for each component. .

[0042] The production stage will include cost quota deviation values. Offset value with production loss Using a weighted integration formula: ,in, , Expressed as cost quota deviation value and production loss offset value The weighting coefficients, The possible value is 1.3. The possible value is 0.7; This is expressed as the component production cost coefficient;

[0043] Retrieve production cost grading threshold Production cost grading threshold The possible values ​​are 1.1-1.6, which will be used to classify the production cost threshold. With component production cost coefficient File-by-file comparison:

[0044] If the component production cost coefficient Production cost grading threshold If the lower limit is 1.1, it is considered normal;

[0045] If the production cost grading threshold The lower limit is 1.1 ≤ component production cost coefficient ≤ Production cost grading threshold The upper limit of 1.6 is judged as a mild warning;

[0046] If the component production cost coefficient > Production cost grading threshold The upper limit of 1.6 is judged as a severe warning;

[0047] Simultaneously using batch marginal cost =Total cost change ÷ Component production quantity change calculation, prioritize the production of components with low marginal cost, monitor production losses in real time, control component costs within the quota range, and solve the problems of production standard reduction and loss control.

[0048] Discrepancies between construction progress and cost during the construction phase can easily lead to idle work and invalid work orders. Therefore, it is essential to achieve coordinated control of progress and cost through comparison of actual operational data. During the construction phase, based on on-site operational data, deviations between progress and cost are calculated to generate a coordination coefficient. Comparison thresholds are used to complete process adjustments and change approvals. Daily on-site records are kept via a mobile app, including the actual number of components installed, on-site labor input days, and machinery usage time, summarizing these data to obtain actual construction parameters. ;

[0049] Using practical construction parameters The actual progress data, minus the schedule baseline. The planned installation quantity and planned construction period are used to calculate the schedule offset value. A negative result indicates a delay in progress.

[0050] Use completed project cost parameters Actual completed project cost minus completed project cost parameters The planned completed project cost has been calculated, and the cost fluctuation value has been obtained. A positive result indicates that the cost has exceeded the budget.

[0051] The construction phase will include schedule offset values. With cost fluctuation value Using a weighted integration formula: ,in, , Represented as progress offset value and cost fluctuation value The weighting coefficients, The possible value is 1.4. The possible value is 0.6; It is expressed as the schedule-cost coordination coefficient.

[0052] Retrieve progress cost classification threshold Schedule cost grading threshold The possible values ​​are 1.2-1.7, which will be used to classify the progress cost threshold. Coordination coefficient between schedule and cost Comparison:

[0053] If the schedule cost coordination coefficient ≤Schedule cost classification threshold If the lower limit is 1.2, it is determined that the progress and cost are in normal coordination and no adjustment measures are required.

[0054] If the progress cost classification threshold The lower limit is 1.2 ≤ schedule cost coordination coefficient ≤Schedule cost classification threshold If the lower limit is 1.7, it is judged as a collaborative warning, and the system identifies that there is a slight situation of manual labor idleness and machine idleness;

[0055] If the schedule cost coordination coefficient >Schedule cost grading threshold The lower limit value of 1.7 is judged as a collaborative alarm, and the system identifies that there is serious human idleness and machine idleness;

[0056] Extraction progress offset value The absolute value of the negative number is used to calculate the specific duration of the actual schedule lag. Then, the lag duration is multiplied by the average daily total cost of fixed on-site labor to automatically calculate the labor idle cost. Simultaneously, the lag duration is multiplied by the average daily total cost of rented machinery to automatically calculate the machinery idle cost. Finally, the labor idle cost and machinery idle cost are added together with the cost fluctuation value. If the two values ​​match, the cost source is confirmed to be idle labor and idle time.

[0057] When the construction party initiates a change request through the platform, it must upload the changed location and reason for the change. The platform automatically retrieves the BIM model before the change and generates the model after the change, comparing parameters such as component additions / reductions and dimensional adjustments. Subsequently, the platform automatically calculates the increase or decrease in cost due to the change according to the cost quota, and substitutes this amount into the recalculation of the progress cost coordination coefficient. ;

[0058] If the recalculated coefficients are still within the normal / warning range of the threshold, the system determines that the change is feasible and pushes it to the EMPC general contractor for approval within 24 hours.

[0059] If the recalculated coefficients exceed the threshold limit, the system determines that the change is not feasible, returns the proposal, and requests adjustments to the change plan; after approval, the platform automatically updates the progress schedule baseline. Compared with the planned cost benchmark The data is synchronized with the cost database to complete the benchmark correction, enabling simultaneous control of progress and cost, and significantly reducing issues such as additional construction work orders and idle time losses.

[0060] Traditional cost management emphasizes construction but neglects operation and maintenance (O&M), leading to continuously rising maintenance costs. It is essential to optimize the entire lifecycle cost by comparing and influencing the design based on O&M data. During the O&M phase, full-cycle coefficients are generated based on performance and maintenance data, and comparison thresholds are used to inform the design. In the decommissioning phase, cost optimization is completed by combining recycled data. Dynamic cost control is achieved throughout the process through step-by-step data collection, item-by-item comparison, weighted calculation, and hierarchical judgment. Sensors are used to monitor component crack width and roof leakage rate over a long period, and the O&M monitoring parameters are summarized as _XN. Manual records of each maintenance cost and frequency are also compiled to obtain the O&M monitoring parameters. ;

[0061] Use maintenance record parameters The average annual actual maintenance cost, minus the benchmark operation and maintenance cost. The annual preset maintenance cost is used to calculate the operation and maintenance cost offset value. Based on operation and maintenance monitoring parameters The leakage rate and crack width data are used to calculate the performance degradation coefficient using the formula: Degradation Coefficient = Actual Monitored Value ÷ Standard Allowable Value. .

[0062] The operation and maintenance phase will offset the operation and maintenance cost value. With performance degradation coefficient Using a weighted integration formula: ,in, , Represented as the offset value of operation and maintenance costs With performance degradation coefficient The weighting coefficients, The possible value is 1.5. The possible value is 0.5. It is represented as the life-cycle cost optimization coefficient.

[0063] Traditional cost control only calculates construction and maintenance costs, completely ignoring operation and maintenance losses and decommissioning recovery value, resulting in distorted cost accounting for the entire life cycle of the factory building; at the same time, operation and maintenance data cannot be fed back into the design, and similar components repeatedly experience high losses and high maintenance problems. Therefore, it is necessary to determine the optimization direction by using the full life cycle coefficient threshold, and then correct the overall cost by calculating the cost and benefits in the decommissioning stage, forming a closed-loop optimization.

[0064] Retrieve the full lifecycle grading threshold from the EMPC integrated cost management platform This threshold is pre-set based on the design service life, component type, and operation and maintenance standards of the prefabricated industrial plant. This time, a tiered threshold with a lower limit of 1.3 and an upper limit of 1.8 is adopted to classify the thresholds throughout the entire life cycle. Life cycle cost optimization coefficient Comparison:

[0065] If the life cycle cost optimization coefficient <Full Life Cycle Classification Threshold The lower limit of 1.3 indicates that the total life cycle cost is compliant, meaning that the operation and maintenance costs and component performance are within a reasonable range, and there is no need to adjust the component selection.

[0066] If the full life cycle grading threshold The lower limit is 1.3 ≤ life cycle cost optimization coefficient ≤Full life cycle grading threshold The upper limit of 1.8 indicates a full life cycle cost warning, suggesting that the operation and maintenance costs are too high and the components are showing moderate degradation. Optimization suggestions need to be fed back to the design stage.

[0067] If the life cycle cost optimization coefficient >Full lifecycle tiered threshold If the upper limit is 1.8, it is judged as a full life cycle cost alarm, indicating that the operation and maintenance cost is seriously exceeded and the component performance is significantly degraded. It is necessary to force feedback to replace the component type in the design stage.

[0068] When there are full lifecycle cost warnings or alarms, the platform automatically extracts the operation and maintenance cost offset value. High component type, performance degradation coefficient Areas exceeding the standard;

[0069] A component selection optimization list is generated and pushed to the design end. After receiving it, the design end directly applies the optimized component parameters in subsequent similar projects, reducing the later operation and maintenance costs from the source. It summarizes the full-process cost data of design source control, production loss control, construction collaboration cost saving, operation and maintenance feedback optimization, and decommissioning revenue reduction, and completes closed-loop cost control of prefabricated industrial plants from design to decommissioning, completely solving the industry defects of heavy construction, light operation and maintenance, and no recycling.

[0070] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0071] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0072] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for full-process cost control of prefabricated industrial plant projects based on EMPC integration, characterized in that, This includes the EMPC integrated cost management platform for data integration, and the construction of the design, production, construction, and operation and maintenance phases based on the EMPC integrated cost management platform: During the design phase, the quota indicators are broken down based on the total cost benchmark, and the cost is calculated by combining BIM parameters and generating compliance coefficients. The quota is then optimized by comparing the coefficients with the graded thresholds. During the production phase, component production data is collected, compared with the quota benchmark to calculate the deviation, generate cost coefficients, and match thresholds to achieve early warning and production optimization. During the construction phase, based on on-site operational data, the deviation between progress and cost is calculated to generate a coordination coefficient, and the process adjustment and change approval are completed by comparing with the threshold. During the operation and maintenance phase, full-cycle coefficients are generated based on performance and maintenance data, and the design is fed back by comparison thresholds. During the decommissioning phase, cost optimization is completed by combining recycled data. Throughout the process, dynamic cost control is achieved through step-by-step collection, item-by-item comparison, weighted calculation, and hierarchical judgment.

2. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 1, characterized in that, The EMPC integrated cost control platform is equipped with a cloud computing server, an IoT data acquisition terminal, and a mobile data entry device. The data layer establishes a unified database to store the total cost control benchmark. BIM component basic parameters The application layer is set up with five functional units: data acquisition, cost conversion, coefficient generation, threshold comparison, and instruction push.

3. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 2, characterized in that, The design phase first extracts the total cost control benchmark approved in the project initiation. The cost limits for each subsystem are calculated by weighting the costs of the structure, enclosure, and electromechanical systems. Then, the BIM component foundation parameters are obtained by extracting the component dimensions, materials, and quantities from the BIM software through the EMPC integrated cost control platform interface. The preliminary cost of the subsystem is obtained by calculating each item in accordance with the cost quota. .

4. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 3, characterized in that, The design phase will include the preliminary cost estimates for the subsystems. Subtract the corresponding cost limit benchmark The cost limit offset value is obtained. ; Retrieve preset subsystem cost percentage parameters Offset value from the cost limit The weighted calculation yields the cost limit compliance coefficient. Retrieve the cost limit grading threshold from the platform Compliance coefficient with cost limit By comparing and judging the current range, the compliance status and overspending status are obtained, and optimization instructions are pushed out.

5. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 2, characterized in that, During the production phase, data on component material usage, processing time, and mold wear are collected piece by piece via IoT terminals, and these are summarized to obtain the basic parameters for component production. Production basic parameters Subtract cost quota benchmarks item by item The cost quota deviation value is obtained. Retrieve preset production turnover parameters The production loss offset value was calculated. .

6. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 5, characterized in that, The production stage will include cost quota deviation values. Offset value with production loss The component production cost coefficient is obtained by weighted calculation. Retrieve production cost grading threshold A warning is triggered by comparing each file individually.

7. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 2, characterized in that, During the construction phase, the number of components installed, man-days, and machine hours are recorded daily via mobile devices, and the data are summarized to obtain practical construction parameters. Construction practice parameters Subtract the schedule baseline Obtain the progress offset value Completed project cost parameters Subtract the planned cost benchmark Obtain the cost fluctuation value .

8. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 7, characterized in that, The construction phase will include schedule offset values. With cost fluctuation value The weighted calculation yields the schedule-cost coordination coefficient. Retrieve progress cost classification threshold Coordination coefficient between schedule and cost Compare and generate process adjustment plans; submit construction changes through the platform, along with BIM change data and cost impact calculation results, complete time-limited approval and update cost benchmarks.

9. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 2, characterized in that, During the operation and maintenance phase, operation and maintenance monitoring parameters are obtained by collecting component crack and leakage data through sensors. The maintenance record parameters are obtained by summarizing the maintenance cost records. ; Maintain record parameters Subtracting the baseline of operation and maintenance costs Obtain the operation and maintenance cost offset value Combined with operation and maintenance monitoring parameters The performance degradation coefficient was calculated. .

10. The method for full-process cost control of prefabricated industrial plant projects based on EMPC integration as described in claim 9, characterized in that, The operation and maintenance phase will offset the operation and maintenance cost value. With performance degradation coefficient Weighted calculation yields the life-cycle cost optimization coefficient. Retrieve the full lifecycle grading threshold Life cycle cost optimization coefficient By comparing and contrasting the design, we can optimize the cost throughout the entire lifecycle.

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