Electromechanical engineering cost and progress collaborative management system based on BIM

Abstract

The invention discloses a BIM-based electromechanical engineering cost and progress collaborative management system, relates to the technical field of electromechanical engineering management, and aims to solve the technical problem that an existing management system is difficult to realize cost and progress collaborative management, and the BIM-based electromechanical engineering cost and progress collaborative management system comprises a data acquisition module which is used for acquiring basic data of electromechanical engineering cost and progress, comprising material cost information in the purchase progress, an installation material list corresponding to each installation stage and estimated installation time; the cost budgeting module comprises a material data acquisition unit and a material cost calculation unit, the material data acquisition unit is used for acquiring material cost information, the material cost information comprises a material purchase order in a purchase progress, the material purchase order comprises material names, quantity and price information, and the material cost calculation unit calculates and predicts the total material cost by integrating multiple factors; material types, engineering quantities and engineering difficulty coefficients are considered; the method has the advantage of carrying out collaborative management on the cost and the progress in the electromechanical engineering construction process.

Description

Technical Field

[0001] The present invention relates to the technical field of electromechanical engineering management, and more specifically, to a BIM-based electromechanical engineering cost and schedule collaborative management system. Background Art

[0002] The cost and schedule coordination management of electromechanical engineering is a comprehensive management concept and method, which aims to ensure that electromechanical engineering projects are successfully completed within the scheduled time and at a reasonable cost. It emphasizes the close connection and mutual influence between cost management and schedule management, and achieves a balance and coordinated development between the two by integrating resources, optimizing processes and dynamically adjusting strategies.

[0003] In the field of electromechanical engineering, cost and schedule management are crucial to the successful implementation of projects. Traditional cost estimation methods, such as cost estimator estimation methods, budget estimator estimation methods, and construction experience accumulation methods, are often based on limited experience and conventional calculation methods. It is difficult to fully consider various practical factors in the installation project, resulting in high uncertainty in cost estimation. In terms of schedule control, traditional methods also have obvious shortcomings. In most cases, schedule calculations are mainly based on the theoretical engineering quantities of design drawings and construction specifications, ignoring the complex and changeable environmental factors of the construction site, which can easily lead to incorrect estimates of the project progress, either too optimistic, or due to insufficient calculation accuracy, leading to delays in construction and cost overruns.

[0004] At the same time, the traditional progress control method lacks detailed consideration of actual personnel allocation and cost investment, and only plans the construction sequence from an architectural perspective, without fully considering the actual construction time differences between different disciplines, as well as the mutual influence between different professional construction. When formulating the progress plan, the coordination and cooperation with related disciplines (such as civil engineering and electrical, HVAC, water supply and drainage, etc.) are often ignored, and the necessary cost data support is lacking, which makes the progress plan out of touch with the actual situation. Moreover, in the process of mechanical and electrical installation project progress control, usually only the rationality of the schedule is paid attention to, but it is not closely combined with the estimation of installation costs, or the cost estimation is not accurate enough to provide effective guidance for the subsequent process arrangement, which in turn affects the smooth progress and economic benefits of the entire mechanical and electrical engineering project. In view of this, we propose a BIM-based mechanical and electrical engineering cost and progress collaborative management system. Summary of the invention

[0005] The purpose of the present invention is to provide a BIM-based electromechanical engineering cost and schedule collaborative management system to solve the technical problem that existing management systems are difficult to achieve cost and schedule collaborative management.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a BIM-based electromechanical engineering cost and schedule collaborative management system, comprising:

[0007] Data collection module, used to collect basic data on mechanical and electrical engineering costs and progress, including material cost information in the procurement progress, the corresponding installation material list for each installation stage, and the estimated installation time;

[0008] The cost budget module includes a material data acquisition unit and a material cost calculation unit. The material data acquisition unit is used to obtain material cost information, including the material purchase order in the procurement schedule, which includes the material name, quantity and price information. The material cost calculation unit calculates the estimated total material cost by comprehensively considering multiple factors, taking into account the material type, engineering quantity and engineering difficulty coefficient, so as to achieve reasonable estimation and control of the cost;

[0009] A schedule simulation module is used to simulate and optimize the installation schedule of electromechanical engineering, including a cost preset unit and a schedule calculation unit. The cost preset unit is used to set a first preset cost threshold C1 and a second preset cost threshold C2 related to the engineering project. The schedule calculation unit calculates the installation engineering quantity, cycle and total man-hours according to the installation material list, generates an estimated total cost of the actual production schedule, and adjusts the staffing by comparing with the preset cost threshold;

[0010] A collaborative analysis module is used to analyze the correlation between cost and schedule, including a correlation data integration unit and a cost-schedule correlation analysis unit. The correlation data integration unit is used to integrate the estimated total material cost, total installation personnel working hours and installation cycle data in the cost budget module and the schedule simulation module. The cost-schedule correlation analysis unit deeply analyzes the mutual influence of cost and schedule through an algorithm, generates a correlation curve and an analysis report, and assists in decision-making;

[0011] The electromechanical engineering management module centrally manages system data and operations by integrating the cost budget module, schedule simulation module and collaborative analysis module, and feeds back simulation results to the operation terminal to assist decision-making.

[0012] Preferably, the material cost calculation unit calculates the estimated total material cost in the following specific manner:

[0013] Collect the material purchase order under the current procurement progress and identify the material name and quantity. Based on the preset material type matching rules and preset engineering quantity conversion coefficient, generate the material engineering quantity required under the current procurement progress;

[0014] Among them, the preset material type matching rule is to obtain the classification attributes of the current material, obtain the engineering quantity conversion coefficient, engineering difficulty coefficient and material quantity of each type of material under the classification attributes, and the engineering project difficulty coefficient is stored in a difficulty dictionary with the classification attributes as the index and the difficulty of each type of material in the classification attributes as the value.

[0015] Preferably, the material cost calculation unit calculates the estimated total material cost using the following formula: Q' i =Q i ×R i , where Q' i is the calculated engineering quantity of the i-th material, Q i is the purchase quantity of the i-th material, R i is the engineering quantity conversion factor of the i-th material based on its classification attributes;

[0016] Obtain the engineering difficulty coefficient of each installation stage and the material quantity of the corresponding installation stage, and generate the material cost based on the preset engineering difficulty coefficient matching rule and material engineering quantity. The preset engineering difficulty coefficient matching rule is to obtain the engineering difficulty coefficient of each type of material indexed by the classification attribute, and then generate the material cost according to the material quantity of the type of material under the classification attribute. The calculation formula is: C i =Q' i ×P i ×(1+E i ), where C i is the cost of the i-th material, P i is the purchase price of the i-th material, E i is the engineering difficulty coefficient of the installation phase corresponding to the i-th material, and the estimated total material cost Where n is the number of material types.

[0017] Preferably, the progress calculation unit calculates the total working hours of the installers by obtaining the material engineering quantity corresponding to each stage of the project, obtaining the installation period corresponding to each stage and the number of installers in each stage, and generating the total working hours of the installers in each installation period in combination with the preset work plan model of the installers. The calculation formula is: Among them, H total is the total working hours of the installers, m is the number of installation cycles, W j is the number of installation workers in the jth installation cycle, T j is the duration of the jth installation cycle.

[0018] Preferably, the formula for calculating the estimated total cost of the actual production schedule by the schedule calculation unit is: production =C total +(H total ×L), where C production is the estimated total cost of the actual production schedule, L is the labor cost per unit hour;

[0019] The staffing adjustment algorithm is: when C production >C2, if W j >W min , then W j =Wj -1, where W min The minimum number of installation workers is limited;

[0020] If W j =W min And C production >C2, then the target installation period T is generated new and target project progress P new ;

[0021] When C production When <C1, adjust the number of installation workers W in each installation cycle j and installation cycle T j , generate the target installation period T new and target estimated completion time F new ;

[0022] When C1≤C production When ≤C2, the progress simulation results are output and a simulation curve chart of cost and progress is generated.

[0023] Preferably, the cost budget module is further used to optimize the estimated total material cost based on cost change forecast information using a preset material cost change model, wherein the cost change forecast information includes material price information, and the preset material cost change model is: Among them, f1(t) is the cost function at time t after the cost change, F is the total project cost, F0 is the starting cost, t is the total contract period of the corresponding material, t0 is the changed contract period, K is the cost change risk caused by the change in the total contract period, and C*1 is the unit period with unchanged cost.

[0024] Preferably, the specific method of integrating data by the associated data integration unit is: obtaining the estimated total material cost C through the cost budget module total And the calculated engineering quantity Q' of each material i , obtain the total working hours H of the installers through the progress calculation unit total and installation cycle T j .

[0025] Preferably, the analysis algorithm adopted by the cost-schedule correlation analysis unit is:

[0026] Calculate the cost change rate and the rate of change of progress in, and are the estimated total cost of actual production progress at different time points, and They are the target installation cycles at different time points.

[0027] Preferably, by constructing a cost-schedule association model C relation =f(ΔC rate ,ΔT rate ), analyze the quantitative relationship between cost and progress, generate a cost-progress correlation curve, and intuitively display the coordinated change trend of the two;

[0028] Based on the analysis results, an analysis report is generated that includes cost-schedule correlation analysis conclusions, influencing factor assessments, and optimization suggestions.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention collects multi-source data of material cost information of procurement progress, installation material list and estimated installation time through the data acquisition module, providing a comprehensive and accurate data basis for cost budgeting. The material cost calculation unit in the cost budgeting module accurately calculates the estimated total material cost based on preset material type matching rules, engineering quantity conversion coefficient and engineering difficulty coefficient, ensuring that the cost is always within a reasonable and controllable range, greatly improving the accuracy and flexibility of cost control, and solving the problem that existing management systems are difficult to achieve coordinated management of cost and progress.

[0031] 2. The present invention also uses the progress calculation unit in the progress simulation module to calculate the installation project volume, cycle and total man-hours in detail according to the installation material list, generates the estimated total cost of the actual production progress, and realizes dynamic adjustment of the installation personnel configuration by comparing with the preset cost threshold.

[0032] 3. The collaborative analysis module of the present invention integrates the key data in the cost budget and schedule simulation modules through the associated data integration unit, providing comprehensive data support for the cost-schedule association analysis. The cost-schedule association analysis unit uses a specific algorithm to calculate the cost change rate and the schedule change rate, build a cost-schedule association model, deeply analyze the quantitative relationship between cost and schedule, and generate intuitive association curves and detailed analysis reports. These reports contain the conclusions of the cost-schedule association analysis, the evaluation of influencing factors, and optimization suggestions, providing managers with a scientific basis for decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the system framework of the present invention; DETAILED DESCRIPTION

[0034] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0035] like Figure 1 As shown, the present invention provides a BIM-based electromechanical engineering cost and schedule collaborative management system, including:

[0036] Data collection module, used to collect various basic data on the cost and progress of mechanical and electrical engineering, including material cost information in the procurement progress, the installation material list corresponding to each installation stage, and the estimated installation time;

[0037] Cost budgeting module, used to calculate and manage mechanical and electrical engineering costs;

[0038] Schedule simulation module, used to simulate and optimize the installation schedule of mechanical and electrical engineering;

[0039] Collaborative analysis module, used to analyze the relationship between cost and schedule;

[0040] The electromechanical engineering management module integrates the cost budget module, schedule simulation module and collaborative analysis module to centrally manage system data and operations, and feeds back simulation results to the operation terminal, assisting personnel to fully understand the project cost and schedule status and make scientific decisions;

[0041] The cost budget module includes:

[0042] Material data acquisition unit, used to obtain material cost information, including material purchase orders in the procurement schedule, which covers material name, quantity and price information;

[0043] The material cost calculation unit calculates the estimated total material cost based on multiple factors, taking into account material type, engineering quantity and engineering difficulty coefficient, to achieve reasonable cost estimation and control;

[0044] The schedule simulation module includes:

[0045] A cost preset unit is used to set a first preset cost threshold C1 and a second preset cost threshold C2 related to the engineering project, providing a basis for adjusting the configuration of installation personnel in the progress simulation, and the threshold is set based on the preset duration of the engineering project, the expected installation progress and historical data;

[0046] The first preset cost threshold C1 is mainly used to determine whether the estimated total cost of the actual production progress is too low. If it is lower than this threshold, it indicates that the current cost investment may not meet the normal project progress requirements, and it is necessary to adjust the personnel allocation to speed up the progress while ensuring that the cost investment is reasonable;

[0047] The second preset cost threshold C2 is mainly used to determine whether the estimated total cost of the actual production progress is too high. If it is higher than this threshold, it indicates that the risk of cost overruns is high and it is necessary to consider reducing costs, such as reducing staffing. These two thresholds are set based on factors such as the preset construction period of the project, the estimated installation progress of the project, and historical engineering data. They provide key reference standards for adjusting the installation staffing during the progress simulation process. When the estimated total cost of the actual production progress is within different threshold ranges, different adjustment strategies are triggered.

[0048] The schedule calculation unit calculates the installation engineering quantity, cycle and total man-hours based on the installation material list, generates the estimated total cost of the actual production schedule, and adjusts the staffing by comparing it with the preset cost threshold to achieve accurate simulation and optimization of the schedule;

[0049] Collaborative analysis modules include:

[0050] The associated data integration unit is used to integrate the estimated total material cost, total man-hours of the installers and the installation cycle data in the cost budget module and the schedule simulation module;

[0051] The cost-progress correlation analysis unit uses algorithms to deeply analyze the mutual impact of cost and progress, generate correlation curves and analysis reports, and assist in decision-making.

[0052] In an embodiment of the present invention, the material cost calculation unit calculates the estimated total material cost in the following specific manner: collect the material purchase order under the current procurement schedule and identify and obtain the material name and material quantity, and generate the material engineering quantity required under the current procurement schedule based on the preset material type matching rule and the preset engineering quantity conversion coefficient;

[0053] Among them, the preset material type matching rule is to obtain the classification attribute of the current material, obtain the engineering quantity conversion coefficient, engineering difficulty coefficient and material quantity of each type of material under the classification attribute, and the engineering project difficulty coefficient is stored in a difficulty dictionary with the classification attribute as the index and the difficulty of each type of material in the classification attribute as the value; the calculation formula is: Q' i =Q i ×R i , where Q' i is the calculated engineering quantity of the i-th material, Q i is the purchase quantity of the i-th material, R i is the engineering quantity conversion factor of the i-th material based on its classification attributes;

[0054] Obtain the engineering difficulty coefficient of each installation stage and the material quantity of the corresponding installation stage, and generate the material cost based on the preset engineering difficulty coefficient matching rule and material engineering quantity. The preset engineering difficulty coefficient matching rule is to obtain the engineering difficulty coefficient of each type of material indexed by the classification attribute, and then generate the material cost according to the material quantity of the type of material under the classification attribute. The calculation formula is: C i =Q' i ×P i ×(1+E i ), where C i is the cost of the i-th material, P i is the purchase price of the i-th material, E i is the engineering difficulty coefficient of the installation phase corresponding to the i-th material, and the estimated total material cost Where n is the number of material types.

[0055] In an embodiment of the present invention, the progress calculation unit calculates the total working hours of the installers by obtaining the material engineering quantity corresponding to each stage of the project, obtaining the installation period corresponding to each stage and the number of installers in each stage, and generating the total working hours of the installers in each installation period in combination with the preset installation worker work plan model. The calculation formula is: Among them, H total is the total working hours of the installers, m is the number of installation cycles, W j is the number of installation workers in the jth installation cycle, T j is the duration of the jth installation cycle;

[0056] The formula for calculating the estimated total cost of actual production schedule is: C production =C total +(H total ×L), where C production is the estimated total cost of the actual production schedule, L is the labor cost per unit hour;

[0057] The staffing adjustment algorithm is: when C production >C2, if W j >W min , then W j =W j -1, where W min The minimum number of installation workers is limited;

[0058] If W j =W min And C production >C2, then the target installation period T is generated new and target project progress P new ;

[0059] When C production When <C1, adjust the number of installation workers W in each installation cycle j and installation cycle T j , generate the target installation period T new and target estimated completion time F new ;

[0060] When C1≤C production When ≤C2, the progress simulation results are output and a simulation curve chart of cost and progress is generated.

[0061] In an embodiment of the present invention, the cost budget module is further used to optimize the estimated total material cost based on the cost change prediction information using a preset material cost change model, the cost change prediction information includes material price information, and the preset material cost change model is: Among them, f1(t) is the cost function at time t after the cost changes, F is the total project cost, F0 is the starting cost, t is the total contract duration of the corresponding material, t0 is the changed contract duration, k is the cost change risk caused by the change of the total contract duration, C*1 is the unit duration with unchanged cost, and this model is used to calculate the purchase unit price P when calculating the estimated total material cost in the material cost calculation unit. i Make dynamic adjustments to further improve the accuracy of cost budgeting.

[0062] When calculating the estimated total material cost in the material cost calculation unit, this model is used to calculate the material price P i Make dynamic adjustments to further improve the accuracy of cost budgeting;

[0063] According to the current time t, the cost function f1(t) at time t after the cost change is calculated using the preset material cost change model;

[0064] Substitute the relevant parameters in the calculated cost function f1(t) into the material price adjustment formula to obtain the adjusted material price P' i , the adjustment formula is Use the adjusted material price P' i Recalculate the estimated total material cost C total ;

[0065] F and F0 are obtained based on the budget documents and initial cost estimate documents of the engineering project. t and t0 are determined based on the relevant clauses in the material procurement contract. K is obtained through statistical analysis of data on cost changes caused by changes in contract duration in historical engineering projects. Analysis factors include market price fluctuations, difficulty in resource allocation, etc. C*1 is determined based on industry standards and the company's past experience in similar projects.

[0066] In the embodiment of the present invention, the specific method of integrating data by the associated data integration unit is: obtaining the estimated total material cost C through the cost budget module total And the calculated engineering quantity Q' of each material i , obtain the total working hours H of the installers through the progress calculation unit total and installation cycle T j ,

[0067] In the embodiment of the present invention, the analysis algorithm adopted by the cost-schedule correlation analysis unit is:

[0068] Calculate the cost change rate and the rate of change of progress in, and are the estimated total cost of actual production progress at different time points, and They are the target installation cycles at different time points;

[0069] By building a cost-schedule association model C relation =f(ΔC rate ,ΔT rate ), analyze the quantitative relationship between cost and progress, generate a cost-progress correlation curve, and intuitively display the coordinated change trend of the two;

[0070] Based on the analysis results, an analysis report containing the cost-progress correlation analysis conclusions, influencing factor evaluation and optimization suggestions is generated to provide decision support for managers. For example, when the cost change rate exceeds a certain threshold and the progress change rate is negatively correlated, the report recommends re-evaluating the material procurement strategy or staffing plan.

[0071] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A BIM-based electromechanical engineering cost and progress collaborative management system, characterized in that: include: Data collection module, used to collect basic data on mechanical and electrical engineering costs and progress, including material cost information in the procurement progress, the corresponding installation material list for each installation stage, and the estimated installation time; The cost budget module includes a material data acquisition unit and a material cost calculation unit. The material data acquisition unit is used to obtain material cost information, including the material purchase order in the procurement schedule, which includes the material name, quantity and price information. The material cost calculation unit calculates the estimated total material cost by comprehensively considering multiple factors, taking into account the material type, engineering quantity and engineering difficulty coefficient, so as to achieve reasonable estimation and control of the cost; A schedule simulation module is used to simulate and optimize the installation schedule of electromechanical engineering, including a cost preset unit and a schedule calculation unit. The cost preset unit is used to set a first preset cost threshold C1 and a second preset cost threshold C2 related to the engineering project. The schedule calculation unit calculates the installation engineering quantity, cycle and total man-hours according to the installation material list, generates an estimated total cost of the actual production schedule, and adjusts the staffing by comparing with the preset cost threshold; A collaborative analysis module is used to analyze the correlation between cost and schedule, including a correlation data integration unit and a cost-schedule correlation analysis unit. The correlation data integration unit is used to integrate the estimated total material cost, total installation personnel working hours and installation cycle data in the cost budget module and the schedule simulation module. The cost-schedule correlation analysis unit deeply analyzes the mutual influence of cost and schedule through an algorithm, generates a correlation curve and an analysis report, and assists in decision-making; The electromechanical engineering management module centrally manages system data and operations by integrating the cost budget module, schedule simulation module and collaborative analysis module, and feeds back simulation results to the operation terminal to assist decision-making.

2. According to claim 1, a BIM-based electromechanical engineering cost and progress collaborative management system is characterized in that: The specific method for calculating the estimated total material cost by the material cost calculation unit is as follows: Collect the material purchase order under the current procurement progress and identify the material name and quantity. Based on the preset material type matching rules and preset engineering quantity conversion coefficient, generate the material engineering quantity required under the current procurement progress; Among them, the preset material type matching rule is to obtain the classification attributes of the current material, obtain the engineering quantity conversion coefficient, engineering difficulty coefficient and material quantity of each type of material under the classification attributes, and the engineering project difficulty coefficient is stored in a difficulty dictionary with the classification attributes as the index and the difficulty of each type of material in the classification attributes as the value.

3. According to claim 2, a BIM-based electromechanical engineering cost and progress collaborative management system is characterized in that: The material cost calculation unit calculates the estimated total material cost using the following formula: Q' i =Q i ×R i , where Q' i is the calculated engineering quantity of the i-th material, Q i is the purchase quantity of the i-th material, R i is the engineering quantity conversion factor of the i-th material based on its classification attributes; Obtain the engineering difficulty coefficient of each installation stage and the material quantity of the corresponding installation stage, and generate the material cost based on the preset engineering difficulty coefficient matching rule and material engineering quantity. The preset engineering difficulty coefficient matching rule is to obtain the engineering difficulty coefficient of each type of material indexed by the classification attribute, and then generate the material cost according to the material quantity of the type of material under the classification attribute. The calculation formula is: C i =Q' i ×P i ×(1+E i ), where C i is the cost of the i-th material, P i is the purchase price of the i-th material, E i is the engineering difficulty coefficient of the installation phase corresponding to the i-th material, and the estimated total material cost Where n is the number of material types.

4. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 3 is characterized in that: The progress calculation unit calculates the total working hours of the installers by obtaining the material engineering quantity corresponding to each stage of the project, obtaining the installation period corresponding to each stage and the number of installers in each stage, and generating the total working hours of the installers in each installation period in combination with the preset installation worker work plan model. The calculation formula is: Among them, H total is the total working hours of the installers, m is the number of installation cycles, W j is the number of installation workers in the jth installation cycle, T j is the duration of the jth installation cycle.

5. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 4 is characterized in that: The formula for calculating the estimated total cost of the actual production schedule by the schedule calculation unit is: C production =C total +(H total ×L), where C production is the estimated total cost of the actual production schedule, L is the labor cost per unit hour; The staffing adjustment algorithm is: when C production >C2, if W j >W min , then W j =W j -1, where W min The minimum number of installation workers is limited; If W j =W min And C production >C2, then generate the target installation period T new and target project progress P new ; When C production < When C1, adjust the number of installation workers W j and the installation cycle T j to generate the target installation cycle T new and the target estimated completion time F new ; When C1≤C production When ≤C2, the progress simulation results are output and a simulation curve chart of cost and progress is generated.

6. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 5 is characterized in that: The cost budget module is also used to optimize the estimated total material cost based on cost change prediction information using a preset material cost change model, wherein the cost change prediction information includes material price information, and the preset material cost change model is: Among them, f1(t) is the cost function at time t after the cost change, F is the total project cost, F0 is the starting cost, t is the total contract period of the corresponding material, t0 is the changed contract period, K is the cost change risk caused by the change in the total contract period, and C*1 is the unit period with unchanged cost.

7. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 6 is characterized in that: The specific method of integrating data by the associated data integration unit is: obtaining the estimated total material cost C through the cost budget module total And the calculated engineering quantity Q' of each material i , obtain the total working hours H of the installers through the progress calculation unit total and installation cycle T j .

8. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 7 is characterized in that: The analysis algorithm adopted by the cost-schedule correlation analysis unit is: Calculate the cost change rate and the rate of change of progress in, and are the estimated total cost of actual production progress at different time points, and They are the target installation cycles at different time points.

9. The BIM-based electromechanical engineering cost and schedule collaborative management system according to claim 8, characterized in that: By building a cost-schedule association model C relation =f(ΔC rate ,ΔT rate ), analyze the quantitative relationship between cost and progress, generate a cost-progress correlation curve, and intuitively display the coordinated change trend of the two; Based on the analysis results, an analysis report is generated that includes cost-schedule correlation analysis conclusions, influencing factor assessments, and optimization suggestions.

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