A building electromechanical comprehensive optimization method and system based on BIM model

Abstract

The present invention relates to the field of construction engineering technology, specifically a building electromechanical comprehensive optimization method and system based on a BIM model, comprising the following steps: using a BIM model to extract data of multiple pipeline components in the building electromechanical system, combining pipeline design requirements and the physical characteristics of multiple components, analyzing the pipeline size and layout, determining the pipeline functional positioning, and obtaining a pipeline layout planning scheme. In the present invention, by accurately matching the flow demand and pressure loss of the pipeline, energy efficiency optimization during operation is ensured, while energy waste and performance loss caused by improper design are reduced. In the process of optimizing the pipeline layout, material use and construction difficulty assessment are combined to reduce unnecessary costs in the construction process and improve construction efficiency. By comprehensively analyzing and adjusting multiple scheduling parameters of the building electromechanical system, the energy efficiency and comfort of the building's internal environment are optimized, achieving dual optimization of energy efficiency and cost.

Description

Technical Field

[0001] The present invention relates to the field of construction engineering technology, and in particular to a building electromechanical integrated optimization method and system based on a BIM model. Background Art

[0002] The field of construction engineering technology involves the process of designing, constructing, and managing construction projects, encompassing subfields such as civil engineering, architectural design, building physics, and environmental engineering. It focuses on using various technologies and methods to improve building quality, efficiency, and sustainability, such as using modern information technology and Building Information Modeling (BIM) to coordinate project information and optimize building design, construction, and operations. Construction engineering also emphasizes balancing safety, economic efficiency, and environmental impact to address increasingly severe environmental challenges and improve building performance.

[0003] The BIM model's integrated MEP optimization approach utilizes building information modeling technology to coordinate and optimize the design and installation of MEP systems within a construction project. By integrating and analyzing data from diverse disciplines, it optimizes a building's energy efficiency and operating costs while also improving construction efficiency and accuracy. Key applications include reducing conflicts during design and construction, lowering energy consumption, and optimizing system performance, ensuring optimal performance standards are achieved at every stage of a construction project, from design to operation. Summary of the Invention

[0004] In order to solve the technical problems existing in the prior art in the lack of comprehensive data integration and collaborative optimization mechanism in the design of building mechanical and electrical systems, which leads to delayed information transmission and feedback between various disciplines. The design method of a single discipline cannot effectively identify the complex interactive effects in the operation of the system, resulting in unforeseen design conflicts and performance mismatches. During the construction phase, due to the lack of a comprehensive assessment of materials and construction difficulty, the pipeline design failed to match the actual construction conditions, increasing unnecessary costs and construction difficulties. Traditional technologies lack systematic and real-time optimization of various scheduling parameters of building mechanical and electrical systems, which makes it difficult to achieve refined management and continuous optimization during the building operation phase, and is prone to problems such as excessive energy consumption and cost overruns. The shortcomings affect the overall efficiency and cost control of the construction project, and it is difficult to achieve continuous performance improvement in a complex environment. An embodiment of the present invention provides a method and system for comprehensive optimization of building mechanical and electrical systems based on a BIM model. The technical solution is as follows:

[0005] On the one hand, a building electromechanical comprehensive optimization method based on a BIM model is provided, the method comprising:

[0006] S1: Use the BIM model to extract data on multiple piping components in the building's mechanical and electrical systems. Combined with piping design requirements and the physical properties of multiple components, analyze the piping size and layout, determine the piping's functional positioning, and obtain a piping layout plan.

[0007] S2: Using the pipeline layout planning scheme, calculate the matching between the pressure loss and flow demand of multiple pipelines, identify the flow demand and pressure loss range of the pipelines based on the pipeline size and layout, and generate flow and pressure optimization records;

[0008] S3: Using the flow and pressure optimization records, perform initial optimization of the size and layout of the building's mechanical and electrical pipelines, comprehensively evaluate pipeline material usage and construction difficulty, and generate pipeline network design measures;

[0009] S4: Based on the pipeline network design measures, adjust the materials, dimensions, and layout in the pipeline design, calculate and compare the energy efficiency and cost of differentiated pipeline layout planning schemes, and generate pipeline design optimization parameters;

[0010] S5: By optimizing the pipeline design parameters, multiple types of scheduling parameters in the building mechanical and electrical systems are input into the BIM model, the dependencies and impacts between the parameters are analyzed, and a scheduling parameter impact matrix is generated;

[0011] S6: Based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical systems are adjusted to optimize temperature, humidity, and lighting intensity, and the optimal scheduling plan is generated by comprehensively referring to energy efficiency and cost control.

[0012] As a further solution of the present invention, the pipeline layout planning scheme includes pipeline size, pipeline layout position, connection method, and pipeline arrangement order; the flow and pressure optimization record includes the pipeline flow demand range, pressure loss range, and flow and pressure matching situation; the pipeline network design measures include pipeline material selection, pipeline size adjustment, layout optimization scheme, and construction difficulty assessment; the pipeline design optimization parameters include pipeline material type, pipeline size, pipeline layout scheme, energy efficiency and cost-effectiveness evaluation results; the scheduling parameter influence matrix includes temperature control, humidity control, lighting intensity control, and the influence relationship between parameters; the optimal scheduling scheme includes temperature adjustment strategy, humidity control scheme, lighting intensity adjustment, and comprehensive energy efficiency and cost comparison of factors.

[0013] As a further solution of the present invention, the BIM model is used to extract data of multiple piping components in the building's mechanical and electrical systems. The piping dimensions and layout are analyzed based on piping design requirements and the physical properties of the multiple components to determine the piping functional positioning. The specific steps for obtaining a piping layout plan are as follows:

[0014] S101: Use the BIM model to extract data on multiple piping components in the building's mechanical and electrical systems, including geometric information, dimensional data, connection locations, and spatial coordinates of piping installation points. Analyze the connection relationships between piping components, analyze the start and end locations of piping paths, and extract design constraints to obtain a piping component dataset.

[0015] S102: Based on the pipeline component dataset, pipeline dimensions, layout information, flow requirements, and installation restrictions are sorted, and the impact between pipelines is compared to check whether there is a spatial conflict. Based on the flow characteristics of the pipelines, physical relationships are determined, and functional positioning is identified to generate a pipeline functional positioning table.

[0016] S103: Using the pipeline function positioning table and combining it with the spatial layout requirements, the spatial distribution, pipeline paths, and pipeline access points of the pipelines are optimized and adjusted, the pipeline directions and intersection positions are evaluated, and the influence of the building structure is referred to to generate a pipeline layout planning scheme.

[0017] As a further solution of the present invention, the pipeline layout planning scheme is used to calculate the matching of pressure loss and flow demand of multiple pipelines, identify the flow demand and pressure loss range of the pipelines based on the pipeline size and layout, and generate flow and pressure optimization records in the following steps:

[0018] S201: Implement the pipeline layout planning scheme, analyze the flow demand and design flow range of each pipeline based on the geometric size, layout position and connection relationship of the pipeline, and obtain pipeline flow demand data;

[0019] S202: Based on the pipeline flow demand data, the Darcy-Weisbach formula is used to calculate the pressure loss. The pressure loss of each section of the pipeline is calculated by taking into account the influencing factors of the pipeline size, layout position, flow resistance, elbows, and valves to obtain pipeline pressure loss data.

[0020] S203: Using the pipeline pressure loss data, combined with the flow demand and the pressure loss range, the pipeline is optimized and adjusted, the pressure loss and the pipeline that does not meet the demand are identified and recorded, and the flow and pressure optimization record is generated.

[0021] As a further embodiment of the present invention, the Darcy-Weisbach formula is as follows:

[0022]

[0023] Where ΔP z represents the pressure loss of the zth section of the pipeline, f z represents the friction coefficient of the zth section of the pipeline, L z represents the length of the zth section of the pipeline, D z represents the diameter of the z-th section of the pipe, ρ z represents the density of the fluid in segment z, v z represents the flow rate in the zth section of the pipeline, K bends,z Represents the elbow coefficient of the z-th section of the pipeline, K valves,z Represents the valve coefficient of the z-th section of the pipeline.

[0024] As a further solution of the present invention, the flow and pressure optimization records are used to perform initial optimization of the size and layout of the building's mechanical and electrical pipelines, comprehensively evaluate the use of pipeline materials and construction difficulty, and generate pipeline network design measures in the following steps:

[0025] S301: Optimize the size and layout of the pipeline using the flow and pressure optimization records, adjust the diameter of the pipeline, the number and position of elbows, optimize the pipeline direction, avoid areas of pressure loss, and generate a pipeline optimization draft;

[0026] S302: Based on the pipeline optimization draft, combined with pipeline material requirements, construction space and structural limitations, evaluate pipeline material selection, analyze the impact of differentiated pipeline materials on construction difficulty, cost and durability, and generate pipeline material and construction evaluation results;

[0027] S303: Generate pipeline network design measures based on the pipeline material and construction evaluation results, with comprehensive reference to material selection, construction feasibility, and building mechanical and electrical pipeline optimization requirements.

[0028] As a further solution of the present invention, the steps of adjusting the materials, dimensions, and layout in the pipeline design according to the pipeline network design measures, calculating and comparing the energy efficiency and cost of the differentiated pipeline layout planning schemes, and generating the pipeline design optimization parameters are specifically as follows:

[0029] S401: Based on the pipe network design measures, a genetic algorithm is used to adjust the size, material, wall thickness, and layout of the building's mechanical and electrical pipes, modify the pipe paths to avoid energy consumption and control costs, and generate an adjusted pipe optimization draft;

[0030] S402: Using the adjusted pipeline optimization draft, calculating the energy efficiency of each optimization draft, evaluating the energy consumption of pipelines under different layout, material and size conditions, and generating energy efficiency and cost evaluation results based on construction and maintenance costs;

[0031] S403: Using the energy efficiency and cost evaluation results, compare the energy efficiency and cost differences of the differentiated pipeline optimization drafts, determine the optimal design solution, and generate pipeline design optimization parameters.

[0032] As a further solution of the present invention, the formula of the genetic algorithm is as follows:

[0033]

[0034] Among them, f represents the pipeline design optimization target value, D represents the pipeline diameter, L represents the pipeline length, S represents the pipeline material strength, T1 represents the energy consumption value, T2 represents the expected consumption standard value of the pipeline design, C1 represents the pipeline installation cost, C2 represents the installation cost of traditional pipelines, and W1, W2 and W3 are weight coefficients.

[0035] As a further solution of the present invention, the steps of inputting multiple types of scheduling parameters in the building mechanical and electrical systems into the BIM model through the pipeline design optimization parameters, analyzing the dependencies and impacts between the parameters, and generating a scheduling parameter impact matrix are as follows:

[0036] S501: Using the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical system are input into the BIM model, including flow, pressure, temperature, and regulating valve settings. The matching degree between the multiple types of parameters and the geometric information and flow characteristics of the pipeline is analyzed to obtain scheduling parameter input data.

[0037] S502: Analyze the dependency relationships between differentiated scheduling parameters based on the scheduling parameter input data, calculate the impact of each parameter, identify the impact path of the scheduling parameters on pipeline performance, and generate a scheduling parameter dependency analysis table;

[0038] S503: According to the scheduling parameter dependency analysis table, the impact relationships of multiple scheduling parameters are sorted, and the impact levels are prioritized to generate a scheduling parameter impact matrix.

[0039] As a further solution of the present invention, based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical system are adjusted to optimize temperature, humidity, and lighting intensity, and the optimal scheduling solution is generated by comprehensively referring to energy efficiency and cost control. Specifically, the steps are as follows:

[0040] S601: Using the scheduling parameter impact matrix, adjust multiple scheduling parameters in the building mechanical and electrical system, optimize parameter settings, adjust operating conditions, and generate a scheduling parameter adjustment plan;

[0041] S602: Based on the scheduling parameter adjustment plan, combined with the building energy efficiency requirements and cost control objectives, perform an analysis of the impact of multiple parameters on energy efficiency and cost, evaluate the balance between energy efficiency optimization and cost savings under the differentiated scheduling parameter adjustment plan, and generate energy efficiency and cost optimization results;

[0042] S603: Based on the energy efficiency and cost optimization results, the optimal combination of temperature, humidity and lighting intensity is comprehensively referenced, the parameters are checked to match the operating requirements of the building, and the effects of energy efficiency and cost control are evaluated to generate an optimal scheduling plan.

[0043] On the other hand, a building electromechanical integrated optimization system based on a BIM model is provided. The system is applied to a building electromechanical integrated optimization method based on a BIM model. The system includes:

[0044] The pipeline data extraction module extracts data on multiple pipeline components in the building's mechanical and electrical systems based on the BIM model, including pipeline length, diameter, connection method, and installation location. Combining pipeline design requirements with the physical properties of components, it analyzes pipeline dimensions and layout and generates a pipeline layout plan.

[0045] The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines based on the size and layout of differentiated pipelines, performs pressure and flow matching analysis, and generates flow and pressure optimization records;

[0046] The layout optimization module optimizes the size and layout of the building's mechanical and electrical pipelines based on the flow and pressure optimization records, evaluates the material usage, construction difficulty, and feasibility of the overall pipeline design plan, and generates pipeline network design measures;

[0047] The design adjustment module adopts the pipeline network design measures, adjusts the material, size and layout of the pipeline, compares and evaluates the energy efficiency and cost of differentiated pipeline network design measures, and generates pipeline design optimization parameters;

[0048] The scheduling parameter optimization module inputs multiple scheduling parameters in the building mechanical and electrical systems into the BIM model based on the pipeline design optimization parameters, analyzes the dependencies and impacts between the scheduling parameters, optimizes temperature, humidity and lighting intensity, and comprehensively refers to energy efficiency and cost control to generate the optimal scheduling plan.

[0049] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0050] By using the BIM model to extract data on piping components in building mechanical and electrical systems, a comprehensive analysis of pipeline size and layout is conducted to achieve precise optimization of pipeline functional positioning and layout planning. By accurately matching the flow demand and pressure loss of the pipeline, energy efficiency optimization during operation is ensured, while energy waste and performance loss caused by improper design are reduced. In the process of optimizing the pipeline layout, the combination of material usage and construction difficulty assessment reduces unnecessary costs in the construction process and improves construction efficiency. By comprehensively analyzing and adjusting multiple scheduling parameters of building mechanical and electrical systems, the energy efficiency and comfort of the building's internal environment are optimized, achieving dual optimization of energy efficiency and cost. Throughout the design and operation process, various parameters can be adjusted and optimized in real time to avoid energy efficiency loss, conflicts, and extended construction periods, improve the overall performance of the building project, and ensure efficient coordination and continuous optimization from design, construction to operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0052] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0053] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0054] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0055] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0056] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0057] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0058] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0059] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0060] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0061] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0062] See also Figure 1 The embodiment of the present invention provides a building electromechanical comprehensive optimization method based on the BIM model. The processing flow of the method may include the following steps:

[0063] S1: Using the BIM model, extract the data of multiple piping components in the building's mechanical and electrical systems. Combining the piping design requirements with the physical properties of the components, analyze the piping dimensions and layout, iteratively determine the piping's functional positioning and layout planning, and obtain a piping layout plan.

[0064] S2: Implement the pipeline layout planning scheme, calculate the matching between pressure loss and flow demand for multiple pipelines, refer to the impact of pipeline size and layout on pressure and flow, identify the flow demand and pressure loss range of each pipeline, and generate flow and pressure optimization records;

[0065] S3: Utilize flow and pressure optimization records to optimize the size and layout of the initial building mechanical and electrical piping. By comprehensively considering the fluid flow patterns within the building, comprehensively assess the use of piping materials and construction difficulty, and generate pipe network design measures.

[0066] S4: Based on the pipeline network design measures, adjust the materials, dimensions, layout and construction technology in the pipeline design. By calculating and comparing the energy efficiency and cost of differentiated pipeline layout planning schemes, determine the optimal settings of pipeline parameters and generate pipeline design optimization parameters;

[0067] S5: By optimizing the parameters of pipeline design, multiple scheduling parameters in the building's mechanical and electrical systems are input into the BIM model, including temperature, humidity, lighting intensity, and wind speed. The dependencies and impacts between multiple scheduling parameters are analyzed to generate a scheduling parameter impact matrix.

[0068] S6: Based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical systems are adjusted to optimize temperature, humidity, and lighting intensity. Energy efficiency and cost control are comprehensively considered to generate the optimal scheduling plan.

[0069] The pipeline layout planning scheme includes pipeline size, pipeline layout location, connection method, and pipeline arrangement order. The flow and pressure optimization record includes the pipeline flow demand range, pressure loss range, and flow and pressure matching. The pipeline network design measures include pipeline material selection, pipeline size adjustment, layout optimization plan, and construction difficulty assessment. The pipeline design optimization parameters include pipeline material type, pipeline size, pipeline layout plan, energy efficiency and cost-effectiveness evaluation results. The scheduling parameter influence matrix includes temperature control, humidity control, lighting intensity control, and the influence relationship between parameters. The optimal scheduling plan includes temperature adjustment strategy, humidity control plan, lighting intensity adjustment, and comprehensive energy efficiency and cost comparison of factors.

[0070] See also Figure 2 , using the BIM model to extract data on multiple piping components in the building's mechanical and electrical systems, combining piping design requirements with the physical characteristics of multiple components, analyzing piping dimensions and layout, determining piping functional positioning, and obtaining a piping layout plan. Specific steps are as follows:

[0071] S101: Use the BIM model to extract data on multiple pipe components in the building's mechanical and electrical systems, including geometric information, dimensional data, connection locations, and spatial coordinates of pipe installation points. Analyze the connection relationships between pipe components, analyze the start and end locations of pipe paths, and extract design constraints to obtain a pipe component dataset. The execution process is as follows:

[0072] An in-depth analysis of the piping components within the BIM model is performed. Advanced algorithms are used to precisely identify each component's geometry, dimensions, and spatial coordinates. This data is then extracted to create a detailed component dataset. The coordinates of key connection locations and piping installation points are also accurately recorded. This coordinate information is crucial for subsequent spatial analysis and collision detection. During the analysis process, each component's data is systematically categorized and coded to ensure accuracy and operability. The functional positioning of each piping component is determined, providing data support for subsequent project planning and implementation, ultimately resulting in a piping component dataset.

[0073] S102: Based on the pipeline component dataset, pipeline dimensions, layout information, flow requirements, and installation restrictions are sorted, and the impact between pipelines is compared to check whether there is a spatial conflict. Combined with the flow characteristics of the pipelines, physical relationships are determined, and functional positioning is identified to generate a pipeline functional positioning table. The execution process is as follows;

[0074] Based on the pipeline component data set, the pipeline size, layout information, flow requirements and installation restrictions are sorted out according to the formula V = Q / A g , calculate the optimal size of the pipe. Where Q represents the flow rate, A g Represents the cross-sectional area. When designing a pipe, the correct flow rate Q is estimated based on the building requirements and the maximum capacity of the system. For example, if the building requires a flow rate of 500 cubic meters per hour, the cross-sectional area A is calculated based on the pipe diameter. For example, if the diameter is 0.5 meters, then A g =π×(0.25) 2 ≈0.196 m2. Substitute the value into the formula to calculate the conditions that the required pipe diameter should meet to ensure consistency between design and actual application.

[0075] S103: Using the pipeline function positioning table and combining it with the spatial layout requirements, optimize and adjust the spatial distribution, pipeline paths, and pipeline access points of the pipelines. The pipeline directions and intersection locations are evaluated, and the influence of the building structure is considered. The execution process of generating a pipeline layout plan is as follows;

[0076] Every data item in the pipeline functional positioning table was analyzed in detail, including the specific location and function of each pipeline. Based on this data, advanced optimization algorithms were used to adjust pipeline routing to reduce intersections and conflicts between pipelines, thereby improving the overall efficiency and safety of the system. Structural features of the building, such as the location of beams and columns, were also considered to ensure the harmonious coexistence of the pipeline layout with the building structure. Through meticulous planning and adjustments, effective support was provided for the building's mechanical and electrical systems, resulting in a pipeline layout plan.

[0077] See also Figure 3 , using the pipeline layout planning scheme, calculate the matching of pressure loss and flow demand of multiple pipelines, identify the flow demand and pressure loss range of the pipeline according to the pipeline size and layout, and generate the flow and pressure optimization records in the following steps:

[0078] S201: Implement the pipeline layout planning scheme, analyze the flow demand and design flow range of each pipeline based on the geometric dimensions, layout location, and connection relationship of the pipeline, and obtain the pipeline flow demand data. The execution process is as follows;

[0079] Analyze the flow demand of each pipeline according to the geometric size, layout position and connection relationship of the pipeline, and use the formula Calculate the design flow range. In the formula, ΔP represents the pressure difference and R represents the flow resistance. If the pressure difference ΔP of a certain pipe section is set to 100 Pa and the flow resistance R is 8, the flow rate Q can be This calculation process ensures the consistency between flow demand and pipeline design, and provides accurate basic data for subsequent flow adjustments.

[0080] S202: Based on the pipeline flow demand data, the Darcy-Weisbach formula is used to calculate the pressure loss. Taking into account the influencing factors of pipeline size, layout location, flow resistance, elbows, and valves, the pressure loss of each pipeline section is calculated. The execution process for obtaining pipeline pressure loss data is as follows;

[0081] The Darcy-Weisbach formula is as follows:

[0082]

[0083] Where ΔP z represents the pressure loss of the zth section of the pipeline, f z represents the friction coefficient of the zth section of the pipeline, L z represents the length of the zth section of the pipeline, D z represents the diameter of the z-th section of the pipe, ρ z represents the density of the fluid in segment z, v z represents the flow rate in the zth section of the pipeline, K bends,z Represents the elbow coefficient of the z-th section of the pipeline, K valves,zRepresents the valve coefficient of the z-th section of the pipeline.

[0084] The parameter interpretation and calculation process are as follows:

[0085] Friction coefficient f z It is a dimensionless coefficient that depends mainly on the flow state (laminar or turbulent) of the pipeline and the roughness of the pipeline surface. In most industrial applications, the friction coefficient can be calculated by the Reynolds number of the fluid and the relative roughness of the pipeline. Set f z =0.02;

[0086] The length of the pipe L z Usually determined by measurement or system design, in practical applications, the pipe length is known, for example, set L z =1000m;

[0087] Pipe diameter D z It is also obtained through design drawings or measurements, and the diameter of a certain section of pipe is set to D z =0.5m;

[0088] Density of the fluid ρ z It depends on the type and temperature of the fluid. In this example, the fluid is water. When the fluid temperature is 20℃, the density of water is approximately ρ z =998kg / m 3 ;

[0089] Flow rate v z It can be obtained by flow meter or fluid measuring equipment, and the flow velocity obtained by measurement is set to v z =2m / s;

[0090] Elbow coefficient K bends,z It is related to the degree of curvature of the pipeline and is obtained through pipeline design specifications or calculation charts. In actual application, if the pipeline has a 90° elbow, the elbow coefficient is about 0.5, and K is set. bends,z =0.5;

[0091] Valve coefficient K valves,z It reflects the resistance of the valve to the flow. The type, size, and opening of the valve will affect this coefficient. If there is a fully open valve in the pipeline, and according to the fluid dynamics data, K is set. valves,z =0.8;

[0092] Calculation process:

[0093] Substitute the above parameters into the formula for calculation:

[0094]

[0095] Calculated pressure loss ΔP z= 183801.6 Pa, meaning that during fluid flow in a pipeline, due to friction, elbows, valves, and other factors, the pressure loss in each section of the pipeline is 183801.6 Pa. This result shows that pipeline resistance and energy loss are determined by multiple factors, including pipeline length, diameter, flow rate, and the presence of elbows and valves.

[0096] S203: Using pipeline pressure loss data, combined with flow requirements and pressure loss range, optimize and adjust pipelines, identify and record pressure losses and pipelines that do not meet requirements, and generate flow and pressure optimization records. The execution process is as follows;

[0097] Detailed pipeline pressure loss data, including the starting and ending pressures of each pipeline segment, was analyzed in real time using high-precision pressure sensors. Based on flow requirements, a computational model was used to assess the pressure loss of each pipeline, identifying pipelines with pressure losses outside the expected range. This analysis enabled adjustments to pipeline diameters or layout to optimize flow and pressure distribution across the system. This process not only ensured system efficiency but also met design standards, improving system reliability and safety, and generating optimized flow and pressure records.

[0098] See also Figure 4 , using flow and pressure optimization records, perform initial optimization of building mechanical and electrical pipeline size and layout, comprehensively evaluate pipeline material usage and construction difficulty, and generate pipeline network design measures in the following steps:

[0099] S301: Utilize flow and pressure optimization records to optimize the size and layout of the pipeline, adjust the pipeline diameter, number and location of elbows, optimize the pipeline direction, and avoid areas of pressure loss. The execution process for generating a pipeline optimization draft is as follows;

[0100] Optimize the size and layout of the pipeline according to the flow and pressure optimization records, according to the formula Calculate the adjusted pipe diameter to avoid the pressure loss area. Where P represents the pressure loss, Q represents the flow rate, L represents the pipe length, g represents the acceleration due to gravity, and D represents the pipe diameter. Set the flow rate Q of a specific pipe section to 0.1 cubic meters per second, the length L to 100 meters, and set g to 9.81 meters per second squared. If the original diameter D is 0.5 meters, calculate the pressure loss In this way, the diameter can be adjusted or the pipe layout can be rearranged to reduce pressure loss and ensure efficient operation of the piping system.

[0101] S302: Based on the pipeline optimization draft, combined with pipeline material requirements, construction space, and structural limitations, evaluate pipeline material selection, analyze the impact of differentiated pipeline materials on construction difficulty, cost, and durability, and generate pipeline material and construction evaluation results. The execution process is as follows;

[0102] When selecting suitable piping materials from a variety of materials, such as steel and PVC, consider their mechanical properties and cost-effectiveness, and analyze their performance in actual construction. For example, while steel piping is durable, it is costly, while PVC piping is inexpensive but unsuitable for high-temperature environments. By comparing material properties and considering construction space constraints, we can optimize material selection and construction plans. This analysis helps ensure that the selected materials not only meet construction requirements but also meet long-term operational needs, achieving the optimal balance between cost and benefit, and generating pipeline material and construction evaluation results.

[0103] S303: Based on the pipeline material and construction assessment results, the execution process of generating pipeline network design measures is as follows, taking into account material selection, construction feasibility, and building mechanical and electrical pipeline optimization requirements.

[0104] Detailed analysis of the physical and chemical properties of materials and how they affect construction and subsequent maintenance. Advanced simulation techniques predict the performance of various materials in actual use environments, allowing for adjustments to piping layout and sizing. This comprehensive assessment, taking into account the overall design requirements of the building's mechanical and electrical systems, particularly thermal efficiency and fluid dynamics, ensures the scientific and practical nature of the piping network design, providing strong support for overall building energy efficiency and safety, and generating network design measures.

[0105] See also Figure 5 ,According to the pipeline network design measures, adjust the materials, size and layout in the pipeline design, calculate and compare the energy efficiency and cost of differentiated pipeline layout planning schemes, and generate the pipeline design optimization parameters in the following steps:

[0106] S401: Based on the pipe network design measures, a genetic algorithm is used to adjust the size, material, wall thickness, and layout of the building's mechanical and electrical pipes. The pipe paths are modified to avoid energy consumption and control costs. The execution process for generating the adjusted pipe optimization draft is as follows;

[0107] The formula of the genetic algorithm is as follows:

[0108]

[0109] Among them, f represents the pipeline design optimization target value, D represents the pipeline diameter, L represents the pipeline length, S represents the pipeline material strength, T1 represents the energy consumption value, T2 represents the expected consumption standard value of the pipeline design, C1 represents the pipeline installation cost, C2 represents the installation cost of traditional pipelines, and W1, W2 and W3 are weight coefficients.

[0110] The explanation of the parameters and the calculation process of the formula are as follows:

[0111] W1 is the weight coefficient of the pipeline diameter on the optimization target, which determines the influence of the pipeline diameter on the optimization target (such as energy efficiency, cost, etc.). This coefficient can be determined through actual engineering experience or simulation analysis. The emphasis on pipeline diameter optimization in the project is set to 0.4 (that is, the pipeline diameter has a greater impact on the target optimization, but it is not an absolute dominant factor);

[0112] W2 is the weight coefficient of energy consumption on the optimization target. It is set according to the project requirements. The impact of energy consumption on the overall optimization is 0.3 (that is, during the optimization process of this project, the impact of energy consumption is second only to the pipe diameter).

[0113] W3 is the weight coefficient of pipeline cost to the optimization target. If the project has high requirements for cost control, the weight coefficient is 0.3.

[0114] The pipe diameter D can be obtained through actual measurement or design requirements. The pipe diameter obtained through BIM modeling is set to 0.15 m (15 cm), which is the pipe diameter value that meets the design specifications in this project.

[0115] The pipeline length L can be obtained through on-site measurement or BIM model. The pipeline length calculated through the BIM model is set to 100 meters;

[0116] The material strength S is obtained by material testing or referring to relevant standards. The pipe is made of steel. According to relevant standards, the tensile strength S of steel is 250 MPa (megapascals);

[0117] The energy consumption value T1 is obtained from actual operation monitoring and can be measured by the installed energy efficiency monitoring system. It is set in the pipeline system before optimization, and the energy consumption value is 500kWh (kilowatt-hours);

[0118] The expected energy consumption standard value T2 is generally determined by industry specifications, design requirements or best practices. The standard value in this project is set to 450kWh (kilowatt-hours);

[0119] The pipeline installation cost C1 can be obtained through market research or real-time data. Based on the on-site construction budget, the installation cost C1 is 50,000 yuan.

[0120] The cost C2 of the traditional piping system can refer to the installation cost data of historical projects and set the installation cost C2 of the traditional system to 45,000 yuan;

[0121] After substituting the actual values, the formula becomes:

[0122]

[0123] Step 1: Calculation 0.15 2=0.0225, 0.4 0.0225 = 0.009, 100 250 = 25000,

[0124]

[0125] Step 2: Calculation 1.1111 0.3 =1.0355;

[0126] Step 3: Calculation 50000-45000=5000, 0.1111 0.3 =0.7405;

[0127] Step 4: Substitute the results of the above steps into the formula to obtain:

[0128] f=0.000057×1.0355×0.7405=0.000043

[0129] The calculation result f = 0.000043 represents the optimization target value of the pipeline design, that is, the optimization effect index after comprehensively considering factors such as pipeline diameter, length, material strength, energy consumption and cost. The smaller the value, the more optimized the pipeline design is in terms of energy efficiency and cost control.

[0130] S402: Using the adjusted pipeline optimization draft, calculate the energy efficiency of each optimization draft, evaluate the energy consumption of pipelines under different layout, material and size conditions, and combine the construction and maintenance costs to generate energy efficiency and cost evaluation results. The execution process is as follows;

[0131] The energy efficiency of each draft is calculated using the adjusted pipeline optimization draft according to the formula Evaluate the energy consumption of pipelines under different layout, material and size conditions. Where E represents energy consumption, P represents pressure loss, Q represents flow rate, t represents running time, and η represents system efficiency. Assuming that the pressure loss P of a pipeline system is 2 Pa, the flow rate Q is 0.1, the running time t is 3600 seconds (1 hour), and the system efficiency η is 0.8, the energy consumption E can be calculated by Joule calculation. This calculation method takes into account not only the physical parameters of the pipes but also the system efficiency, providing a comprehensive energy efficiency assessment.

[0132] S403: Using the energy efficiency and cost evaluation results, compare the energy efficiency and cost differences of the differentiated pipeline optimization drafts, determine the optimal design solution, and generate the pipeline design optimization parameters. The execution process is as follows;

[0133] A comprehensive analysis of energy efficiency data and construction and maintenance costs for each optimized design was conducted. Advanced data analysis tools were used to identify the design with the highest energy efficiency and the lowest cost. The analysis tool considered various factors, such as material costs, construction difficulty, and expected maintenance expenses, while also integrating energy efficiency data for a comprehensive evaluation. This approach clearly identified the design that would provide the best economic and environmental benefits in long-term operation, providing a scientific basis for decision makers to ensure that the selected design is both economical and environmentally friendly, and generating optimized pipeline design parameters.

[0134] See also Figure 6 ,Through the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical systems are input into the BIM model, and the dependencies and impacts between the parameters are analyzed. The specific steps to generate the scheduling parameter impact matrix are as follows:

[0135] S501: Using pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical system are input into the BIM model, including flow, pressure, temperature, and control valve settings. The matching degree between these multiple types of parameters and the geometric information and flow characteristics of the pipeline is analyzed. The execution process for obtaining the scheduling parameter input data is as follows;

[0136] Each scheduling parameter is precisely entered into the BIM model through an advanced data input interface, ensuring data accuracy and real-time availability. Leveraging the BIM model's powerful computing capabilities, a detailed analysis is performed on the interactions between these parameters and the pipeline's geometry, material properties, and flow conditions. For example, flow and pressure data help determine water velocity and the pipeline's pressure-bearing capacity, while temperature influences the thermal expansion of the material, and the control valve settings directly regulate flow characteristics. This analysis process ensures that the scheduling parameter settings are perfectly aligned with the pipeline design, optimizing the performance and efficiency of the entire system and capturing the scheduling parameter input data.

[0137] S502: Based on the scheduling parameter input data, the dependency relationship between the differentiated scheduling parameters is analyzed. By calculating the impact degree of each parameter, the impact path of the scheduling parameter on the pipeline performance is identified, and the execution process of generating a scheduling parameter dependency analysis table is as follows;

[0138] Based on the scheduling parameter input data, the dependency between the differentiated scheduling parameters is analyzed and the formula Calculate the influence of each parameter. Where ΔP represents the pressure change, μ represents the viscosity of the fluid, L represents the pipe length, Q represents the flow rate, and r represents the pipe radius. Set the viscosity of water in the pipe μ to 1×10 -3 Pa·s, the pipe length L is 100 meters, the flow rate Q is 0.1, and the pipe radius r is 0.05 meters, then the pressure change Through this calculation method, the specific impact of different scheduling parameters such as flow and viscosity changes on pressure can be accurately evaluated, providing a scientific basis for optimizing scheduling strategies.

[0139] S503: According to the scheduling parameter dependency analysis table, the impact relationships of multiple scheduling parameters are sorted and the impact levels are prioritized to generate a scheduling parameter impact matrix. The execution process is as follows;

[0140] A comprehensive analysis of the interdependencies and influences between various parameters, such as flow, pressure, temperature, and control valve settings, calculates the specific impact of each parameter on system performance, and prioritizes parameters based on their impact. This prioritization is based on an assessment of their impact on system efficiency and safety, ensuring that key parameters are prioritized for adjustment. This analysis not only improves system response efficiency but also ensures operational reliability and stability, making the overall design more scientific and rational, and generating a scheduling parameter impact matrix.

[0141] See also Figure 7 Based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical systems are adjusted to optimize temperature, humidity, and lighting intensity. The steps for generating the optimal scheduling solution are as follows:

[0142] S601: Using the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical system are adjusted to optimize the parameter settings, adjust the operating conditions, and generate a scheduling parameter adjustment plan. The execution process is as follows:

[0143] The scheduling parameter influence matrix is used to adjust multiple scheduling parameters in the building mechanical and electrical system. According to the formula E total =∑(P i ×C i ×T), the setting value of the optimization parameter. total Represents total energy consumption, P i represents the power consumption caused by the i-th parameter, C i Represents the cost per unit power, and T represents the operating time. There are three main scheduling parameters, the power consumption of each parameter is P1 = 5 kW, P2 = 3 kW, P3 = 2 kW, the cost coefficients are C1 = 0.1 yuan / kW·hour, C2 = 0.15 yuan / kW·hour, C3 = 0.2 yuan / kW·hour, and the operating time T is 24 hours. The total energy consumption E total =(5×0.1+3×0.15+2×0.2)×24=28.8 yuan. This calculation method helps optimize parameter settings and ensure optimal energy consumption and cost control.

[0144] S602: Based on the scheduling parameter adjustment plan, combined with the building energy efficiency requirements and cost control objectives, the impact of multiple parameters on energy efficiency and cost is analyzed to evaluate the balance between energy efficiency optimization and cost savings under the differentiated scheduling parameter adjustment plan. The execution process for generating energy efficiency and cost optimization results is as follows;

[0145] Advanced simulation tools are used to evaluate the impact of different scheduling parameter settings on overall building energy consumption. For example, adjusting temperature settings can reduce air conditioning system energy consumption, but this must be balanced with human comfort. Adjusting lighting intensity can save electricity, but sufficient lighting must be maintained to meet the needs of the work environment. This comprehensive assessment can identify the most cost-effective parameter settings, ensuring building energy efficiency while controlling operating costs, achieving the best economic and environmental benefits, and generating energy efficiency and cost optimization results.

[0146] S603: Based on the energy efficiency and cost optimization results, the optimal combination of temperature, humidity, and lighting intensity is comprehensively referenced. The parameters are checked to match the building's operating requirements. The effectiveness of energy efficiency and cost control is evaluated to generate the optimal scheduling plan. The execution process is as follows;

[0147] The specific impacts of scheduling parameters such as temperature, humidity, and lighting intensity on energy efficiency and costs were analyzed in detail. For example, appropriately lowering the temperature setting can significantly reduce air conditioning system energy consumption, while adjusting the humidity setting can improve air quality and reduce the burden on air handling units. Furthermore, optimizing lighting system control strategies, such as using smart sensors and timers, not only saves energy but also extends equipment life. These optimization measures ensure efficient building operation and cost control, providing users with an economical and environmentally friendly operating environment and generating an optimal scheduling solution.

[0148] See also Figure 8 On the other hand, a building electromechanical integrated optimization system based on a BIM model is provided, which is applied to a building electromechanical integrated optimization method based on a BIM model, and the system includes:

[0149] The pipeline data extraction module extracts data on multiple pipeline components in the building's mechanical and electrical systems based on the BIM model, including pipeline length, diameter, connection method, and installation location. Combining pipeline design requirements with the physical properties of components, it analyzes pipeline dimensions and layout and generates a pipeline layout plan.

[0150] The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines based on the size and layout of differentiated pipelines, conducts pressure and flow matching analysis, and generates flow and pressure optimization records;

[0151] The layout optimization module optimizes the size and layout of building mechanical and electrical pipelines based on flow and pressure optimization records, evaluates the material usage, construction difficulty, and feasibility of the overall pipeline design plan, and generates pipeline network design measures;

[0152] The design adjustment module uses pipeline network design measures to adjust the material, size and layout of the pipeline, compares and evaluates the energy efficiency and cost of differentiated pipeline network design measures, and generates pipeline design optimization parameters;

[0153] The scheduling parameter optimization module is based on the pipeline design optimization parameters, inputs multiple scheduling parameters in the building mechanical and electrical systems into the BIM model, analyzes the dependencies and impacts between the scheduling parameters, optimizes temperature, humidity, and lighting intensity, and comprehensively refers to energy efficiency and cost control to generate the optimal scheduling plan.

[0154] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A building electromechanical comprehensive optimization method based on BIM model, characterized in that: The method comprises: Use BIM models to extract data on multiple piping components in building mechanical and electrical systems. Combined with piping design requirements and the physical characteristics of multiple components, analyze piping dimensions and layout, determine piping functional positioning, and obtain a piping layout plan. Using the pipeline layout planning scheme, the pressure loss and flow demand matching calculation of multiple pipelines is performed, the flow demand and pressure loss range of the pipelines are identified according to the pipeline size and layout, and the flow and pressure optimization records are generated; Using the flow and pressure optimization records, perform initial optimization of the size and layout of the building's mechanical and electrical pipelines, comprehensively evaluate pipeline material usage and construction difficulty, and generate pipeline network design measures; Based on the pipeline network design measures, adjust the materials, dimensions and layout in the pipeline design, calculate and compare the energy efficiency and cost of differentiated pipeline layout planning schemes, and generate pipeline design optimization parameters; By optimizing the pipeline design parameters, multiple types of scheduling parameters in the building mechanical and electrical systems are input into the BIM model, the dependencies and impacts between the parameters are analyzed, and a scheduling parameter impact matrix is generated; Based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical systems are adjusted to optimize temperature, humidity, and lighting intensity, and an optimal scheduling plan is generated by comprehensively referring to energy efficiency and cost control; Using the flow and pressure optimization records, the initial optimization of the size and layout of the building's mechanical and electrical pipelines is performed, and the use of pipeline materials and construction difficulty are comprehensively evaluated. The specific steps for generating pipeline network design measures are as follows: Utilizing the flow and pressure optimization records, the size and layout of the pipeline are optimized, the diameter of the pipeline, the number and position of elbows are adjusted, the pipeline direction is optimized, areas of pressure loss are avoided, and a pipeline optimization draft is generated; Based on the pipeline optimization draft, combined with pipeline material requirements, construction space and structural limitations, evaluate pipeline material selection, analyze the impact of differentiated pipeline materials on construction difficulty, cost and durability, and generate pipeline material and construction evaluation results; Generate pipeline network design measures based on the pipeline material and construction assessment results, taking into account material selection, construction feasibility, and building mechanical and electrical pipeline optimization requirements; Based on the pipeline network design measures, the materials, dimensions, and layout in the pipeline design are adjusted, the energy efficiency and cost of the differentiated pipeline layout planning schemes are calculated and compared, and the steps for generating the pipeline design optimization parameters are as follows: Based on the above-mentioned pipe network design measures, a genetic algorithm is used to adjust the size, material, wall thickness and layout of the building's mechanical and electrical pipes, modify the pipe paths to avoid energy consumption and control costs, and generate an adjusted pipe optimization draft; Using the adjusted pipeline optimization draft, calculate the energy efficiency of each optimization draft, evaluate the energy consumption of pipelines under different layout, material and size conditions, and generate energy efficiency and cost evaluation results based on construction and maintenance costs; Using the energy efficiency and cost evaluation results, compare the energy efficiency and cost differences of the differentiated pipeline optimization drafts, determine the optimal design scheme, and generate pipeline design optimization parameters; The formula of the genetic algorithm is as follows: Among them, f represents the pipeline design optimization target value, D represents the pipeline diameter, L represents the pipeline length, S represents the pipeline material strength, T1 represents the energy consumption value, T2 represents the expected consumption standard value of the pipeline design, C1 represents the pipeline installation cost, C2 represents the installation cost of traditional pipelines, and W1, W2 and W3 are weight coefficients.

2. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: The pipeline layout planning scheme includes pipeline size, pipeline layout location, connection method, and pipeline arrangement order; the flow and pressure optimization record includes the pipeline flow demand range, pressure loss range, and flow and pressure matching situation; the pipeline network design measures include pipeline material selection, pipeline size adjustment, layout optimization scheme, and construction difficulty assessment; the pipeline design optimization parameters include pipeline material type, pipeline size, pipeline layout scheme, energy efficiency and cost-effectiveness evaluation results; the scheduling parameter influence matrix includes temperature control, humidity control, lighting intensity control, and the influence relationship between parameters; the optimal scheduling scheme includes temperature adjustment strategy, humidity control scheme, lighting intensity adjustment, and comprehensive energy efficiency and cost comparison of factors.

3. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: The BIM model is used to extract data on multiple piping components in a building's mechanical and electrical systems. The pipeline dimensions and layout are analyzed based on the pipeline design requirements and the physical characteristics of the components. The pipeline functional positioning is determined, and the specific steps for obtaining a pipeline layout plan are as follows: Use the BIM model to extract data on multiple piping components in the building's mechanical and electrical systems, including geometric information, dimensional data, connection locations, and the spatial coordinates of piping installation points. Analyze the connection relationships between piping components, analyze the start and end points of piping paths, and extract design constraints to obtain a piping component dataset. Based on the pipeline component dataset, pipeline dimensions, layout information, flow requirements, and installation restrictions are sorted out, the impact between pipelines is compared, and whether there is a spatial conflict is checked. Based on the flow characteristics of the pipelines, physical relationships are determined, and functional positioning is identified to generate a pipeline functional positioning table. The pipeline function positioning table is used in combination with the spatial layout requirements to optimize the spatial distribution, pipeline paths and pipeline access points of the pipelines, evaluate the pipeline directions and intersection positions, and refer to the influence of the building structure to generate a pipeline layout planning scheme.

4. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: The pipeline layout planning scheme is used to calculate the matching between the pressure loss and flow demand of multiple pipelines. The flow demand and pressure loss range of the pipelines are identified according to the pipeline size and layout. The specific steps for generating flow and pressure optimization records are as follows: Implement the pipeline layout planning scheme, analyze the flow demand and design flow range of each pipeline based on the geometric dimensions, layout position and connection relationship of the pipeline, and obtain pipeline flow demand data; Based on the pipeline flow demand data, the Darcy-Weisbach formula is used to calculate the pressure loss. The pressure loss of each section of the pipeline is calculated by taking into account the influencing factors of the pipeline size, layout position, flow resistance, elbows and valves to obtain the pipeline pressure loss data; The pipeline pressure loss data is used to optimize and adjust the pipeline in combination with the flow demand and the pressure loss range, identify and record the pressure loss and pipelines that do not meet the requirements, and generate flow and pressure optimization records.

5. The building electromechanical comprehensive optimization method based on the BIM model according to claim 4 is characterized in that: The Darcy-Weisbach formula is as follows: Where ΔP z represents the pressure loss of the zth section of the pipeline, f z represents the friction coefficient of the zth section of the pipeline, L z represents the length of the zth section of the pipeline, D z represents the diameter of the z-th section of the pipe, ρ z represents the density of the fluid in segment z, v z represents the flow rate in the zth section of the pipeline, K bends,z Represents the elbow coefficient of the z-th section of the pipeline, K valves,z Represents the valve coefficient of the z-th section of the pipeline.

6. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: By using the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical systems are input into the BIM model, and the dependencies and impacts between the parameters are analyzed to generate the scheduling parameter impact matrix. The specific steps are as follows: Using the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical system are input into the BIM model, including flow, pressure, temperature, and regulating valve settings. The matching degree between the multiple types of parameters and the geometric information and flow characteristics of the pipeline is analyzed to obtain the scheduling parameter input data. Analyzing the dependencies between the differentiated scheduling parameters based on the scheduling parameter input data, identifying the impact path of the scheduling parameters on pipeline performance by calculating the impact degree of each parameter, and generating a scheduling parameter dependency analysis table; According to the scheduling parameter dependency analysis table, the impact relationships of multiple scheduling parameters are sorted out, and the impact levels are prioritized to generate a scheduling parameter impact matrix.

7. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: Based on the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical systems are adjusted to optimize temperature, humidity, and lighting intensity. The optimal scheduling solution is generated by comprehensively considering energy efficiency and cost control. The specific steps are as follows: Using the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical system are adjusted to optimize parameter settings, adjust operating conditions, and generate a scheduling parameter adjustment plan; Based on the scheduling parameter adjustment scheme, combined with the building energy efficiency requirements and cost control objectives, the impact of multiple parameters on energy efficiency and cost is analyzed, the balance between energy efficiency optimization and cost savings under the differentiated scheduling parameter adjustment scheme is evaluated, and energy efficiency and cost optimization results are generated; Through the energy efficiency and cost optimization results, the optimal combination of temperature, humidity and lighting intensity is comprehensively referenced, the parameters are checked to match the operating needs of the building, and the effects of energy efficiency and cost control are evaluated to generate the optimal scheduling plan.

8. A building electromechanical integrated optimization system based on BIM model, characterized in that: According to the BIM model-based building electromechanical integrated optimization method according to any one of claims 1 to 7, the system comprises: The pipeline data extraction module extracts data on multiple pipeline components in the building's mechanical and electrical systems based on the BIM model, including pipeline length, diameter, connection method, and installation location. Combining pipeline design requirements with the physical properties of components, it analyzes pipeline dimensions and layout and generates a pipeline layout plan. The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines based on the size and layout of differentiated pipelines, performs pressure and flow matching analysis, and generates flow and pressure optimization records; The layout optimization module optimizes the size and layout of the building's mechanical and electrical pipelines based on the flow and pressure optimization records, evaluates the material usage, construction difficulty, and feasibility of the overall pipeline design plan, and generates pipeline network design measures; The design adjustment module adopts the pipeline network design measures, adjusts the material, size and layout of the pipeline, compares and evaluates the energy efficiency and cost of differentiated pipeline network design measures, and generates pipeline design optimization parameters; The scheduling parameter optimization module inputs multiple scheduling parameters in the building mechanical and electrical systems into the BIM model based on the pipeline design optimization parameters, analyzes the dependencies and impacts between the scheduling parameters, optimizes temperature, humidity and lighting intensity, and comprehensively refers to energy efficiency and cost control to generate the optimal scheduling plan.

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