Building electromechanical comprehensive optimization method and system based on BIM model

Abstract

The invention relates to the technical field of building engineering, in particular to a building electromechanical comprehensive optimization method and system based on a BIM model, and the method comprises the following steps: extracting the data of a plurality of pipeline assemblies in building electromechanical through the BIM model, analyzing the size and layout of a pipeline in combination with the design requirements of the pipeline and the physical characteristics of the multiple assemblies, determining the function positioning of the pipeline, and carrying out the building electromechanical comprehensive optimization. And obtaining a pipeline layout planning scheme. According to the method, the flow demand and the pressure loss of the pipeline are accurately matched, energy efficiency optimization in operation is ensured, meanwhile, energy waste and performance loss caused by improper design are reduced, in the pipeline layout optimization process, material use and construction difficulty evaluation are combined, the unnecessary cost in the construction process is reduced, the construction efficiency is improved, and the construction cost is reduced. By comprehensively analyzing and adjusting a plurality of scheduling parameters of building electromechanical, the energy efficiency and comfort level of the internal environment of the building are optimized, and dual optimization of energy efficiency and cost is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of building engineering, and in particular to a building electromechanical comprehensive 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, including sub-fields such as civil engineering, architectural design, building physics and environmental engineering. It focuses on using various technologies and methods to improve construction 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 operation. Construction engineering also emphasizes the balance between safety, economic benefits and environmental impact to meet increasingly severe environmental challenges and improve building performance.

[0003] Among them, the BIM model's building electromechanical integrated optimization method refers to the use of building information modeling technology to coordinate and optimize the design and installation of electromechanical systems in construction projects. By integrating and analyzing data from different disciplines, the energy efficiency and operating costs of buildings are optimized, while the efficiency and accuracy of construction are improved. The main uses include reducing conflicts in the design and construction process, reducing energy consumption, optimizing system performance, and ensuring that the construction project can achieve the best performance standards at all stages from design to operation. Summary of the invention

[0004] In order to solve the technical problems existing in the prior art that the design of building mechanical and electrical systems lacks comprehensive data integration and collaborative optimization mechanisms, resulting in 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 difficulties, 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, resulting in difficulty in refined management and continuous optimization during the building operation phase, and 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 the data of multiple pipeline components in the building mechanical and electrical system, combine the pipeline design requirements and the physical characteristics of multiple components, analyze the pipeline size and layout, determine the pipeline function positioning, and obtain the pipeline layout planning scheme;

[0007] S2: using the pipeline layout planning scheme, performing pressure loss and flow demand matching calculations for multiple pipelines, identifying the flow demand and pressure loss range of the pipelines according to the pipeline size and layout, and generating 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 the use of pipeline materials and construction difficulty, and generate pipeline network design measures;

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

[0010] S5: Through the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical are input into the BIM model, the dependency and influence between the parameters are analyzed, and a scheduling parameter influence matrix is ​​generated;

[0011] S6: Based on the scheduling parameter influence matrix, multiple scheduling parameters in the building mechanical and electrical systems 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.

[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 flow demand range, pressure loss range, and flow and pressure matching of the pipeline; 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 data of multiple pipeline components in the building mechanical and electrical system are extracted using the BIM model, and the pipeline size and layout are analyzed in combination with the pipeline design requirements and the physical characteristics of multiple components to determine the pipeline function positioning. The specific steps of obtaining the pipeline layout planning scheme are as follows:

[0014] S101: Use the BIM model to extract data of multiple pipeline components in the building mechanical and electrical system, including geometric information, size data, connection positions, and spatial coordinates of pipeline installation points, analyze the connection relationship between pipeline components, analyze the starting and ending positions of pipeline paths, and extract design constraints to obtain a pipeline component data set;

[0015] S102: Based on the pipeline component data set, pipeline dimensions, layout information, flow requirements and installation restrictions are sorted out, the impact between pipelines is compared, whether there is a spatial conflict, and the physical relationship is determined in combination with the flow characteristics of the pipelines, and the 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 of the pipeline, the pipeline path and the pipeline access point are optimized and adjusted, the pipeline direction and intersection position 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 adopted to perform pressure loss and flow demand matching calculation of multiple pipelines, and the flow demand and pressure loss range of the pipelines are identified according to the pipeline size and layout, and the steps of generating flow and pressure optimization records are specifically as follows:

[0018] S201: Implement the pipeline layout planning scheme, analyze the flow demand and design flow range of each pipeline according to 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, and the pressure loss of each section of the pipeline is calculated in combination with the size, layout position, flow resistance, elbows and valves of the pipeline 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 records are generated.

[0021] As a further solution of the present invention, the formula of 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 zth 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 zth section of the pipeline, K valves,z Represents the valve coefficient of the zth pipeline section.

[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 mechanical and electrical pipelines, and the use of pipeline materials and construction difficulty are comprehensively evaluated to generate the steps of pipeline network design measures:

[0025] S301: Utilizing the flow and pressure optimization records, optimizing the size and layout of the pipeline, adjusting the diameter of the pipeline, the number and position of elbows, optimizing the direction of the pipeline, avoiding areas of pressure loss, and generating a pipeline optimization draft;

[0026] S302: Based on the pipeline optimization draft, combined with pipeline material requirements, construction space and structural limitations, evaluate the selection of pipeline materials, 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, according to the pipeline network design measures, the material, size 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 of generating 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 path to avoid energy consumption and perform cost control, 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 the pipeline under differentiated layout, material and size conditions, and generating energy efficiency and cost evaluation results in combination with 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 the traditional pipeline, and W1, W2 and W3 are weight coefficients.

[0035] As a further solution of the present invention, through the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical are input into the BIM model, the dependency and influence between the parameters are analyzed, and the steps of generating the scheduling parameter influence matrix are specifically 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, and 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 relationship between the differentiated scheduling parameters based on the scheduling parameter input data, identify the impact path of the scheduling parameters on pipeline performance by calculating the impact degree of each parameter, 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 degrees are prioritized to generate a scheduling parameter impact matrix.

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

[0040] S601: using the scheduling parameter influence matrix, adjusting multiple scheduling parameters in the building mechanical and electrical system, optimizing parameter setting values, adjusting operating conditions, and generating a scheduling parameter adjustment plan;

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

[0044] The pipeline data extraction module extracts the data of multiple pipeline components in the building mechanical and electrical system based on the BIM model, including pipeline length, diameter, connection method and installation location. It analyzes the size and layout of the pipeline in combination with the pipeline design requirements and the physical characteristics of the components, and generates a pipeline layout planning scheme.

[0045] The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines according to 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, 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 the 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 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, comprehensively refers to energy efficiency and cost control, and generates 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] The BIM model is used to extract the data of pipeline components in the building's mechanical and electrical systems, and a comprehensive analysis of the pipeline size and layout is performed to achieve precise optimization of the pipeline's 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 use of materials and the assessment of construction difficulty 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's 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 losses, 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 "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0061] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, 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 pipeline components in the building mechanical and electrical system, analyze the size and layout of the pipelines in combination with the design requirements of the pipelines and the physical characteristics of multiple components, iteratively determine the functional positioning and layout planning of the pipelines, and obtain the pipeline layout planning scheme;

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

[0065] S3: Use flow and pressure optimization records to initialize the size and layout optimization of the building's mechanical and electrical pipelines, comprehensively refer to the flow rules of the fluid inside the building, comprehensively evaluate the use of pipeline materials and construction difficulty, and generate pipeline network design measures;

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

[0067] S5: Through pipeline design optimization parameters, multiple types of scheduling parameters in building mechanical and electrical systems are input into the BIM model, including temperature, humidity, lighting intensity and wind speed, and 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, and the optimal scheduling plan is generated by comprehensively referring to energy efficiency and cost control.

[0069] The pipeline layout planning scheme includes pipeline size, pipeline layout location, connection method, and pipeline arrangement order. The flow and pressure optimization records include 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 , use the BIM model to extract the data of multiple pipeline components in the building mechanical and electrical, combine the pipeline design requirements and the physical characteristics of multiple components, analyze the pipeline size and layout, determine the pipeline function positioning, and obtain the pipeline layout planning plan in the following steps:

[0071] S101: Use the BIM model to extract data of multiple pipeline components in the building mechanical and electrical system, including geometric information, size data, connection positions, and spatial coordinates of pipeline installation points, analyze the connection relationship between pipeline components, analyze the starting and ending positions of the pipeline path, and extract design constraints. The execution process of obtaining the pipeline component data set is as follows;

[0072] The pipeline components in the BIM model are deeply analyzed. The geometric shape, dimensional data and spatial coordinates of each component are accurately identified through advanced algorithms, and the data is extracted to create a detailed component data set. The coordinates of key connection locations and pipeline installation points are also accurately recorded. Coordinate information is essential for subsequent spatial analysis and collision detection. During the analysis process, the data of each component is systematically classified and coded to ensure the accuracy and operability of the information. The functional positioning of each pipeline component is determined, and data support is provided for subsequent project planning and implementation to obtain a pipeline component data set.

[0073] S102: Based on the pipeline component data set, the pipeline size, layout information, flow requirements and installation restrictions are sorted, the impact between pipelines is compared, and whether there is a spatial conflict is checked. Combined with the flow characteristics of the pipeline, the physical relationship is determined, and the functional positioning is identified. The execution process of generating the pipeline functional positioning table 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 pipeline. In the formula, 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 calculation of the cross-sectional area A is 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 with the spatial layout requirements, the spatial distribution, pipeline path and pipeline access point of the pipeline are optimized and adjusted, the pipeline direction and intersection position are evaluated, and the influence of the building structure is referred to to generate the execution process of the pipeline layout planning scheme as follows;

[0076] Each data item in the pipeline function positioning table was analyzed in detail, including the specific location and function of each pipeline. Based on the data, the pipeline path was adjusted using advanced optimization algorithms to reduce intersections and conflicts between pipelines and improve the overall efficiency and safety of the system. The structural characteristics of the building, such as the location of beams and columns, were also taken into account to ensure the harmonious coexistence of the pipeline layout and the building structure. Through detailed planning and adjustment, effective support was provided for the building's mechanical and electrical systems, generating a pipeline layout planning scheme.

[0077] See also Figure 3 , using the pipeline layout planning scheme, calculate the pressure loss and flow demand matching 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 according to the geometric size, layout position 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 pipeline section is set to 100 Pa and the flow resistance R is 8, the flow Q can pass through This calculation process ensures the consistency between flow demand and pipeline design, and provides accurate basic data for subsequent flow adjustment.

[0080] 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 combining the size, layout position, flow resistance, elbows and valves of the pipeline. The execution process of obtaining the pipeline pressure loss data is as follows;

[0081] The formula for 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 zth 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 zth section of the pipeline, K valves,zRepresents the valve coefficient of the zth pipeline section.

[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, setting L z =1000m;

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

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

[0089] Flow rate z It can be obtained by flow meter or fluid measuring equipment, and the flow velocity obtained by measurement is set as 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 practical applications, 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 flow. The type, size, and opening of the valve will affect this coefficient. Suppose there is a fully open valve in the pipeline, and according to the fluid dynamics data, set K valves,z =0.8;

[0092] Calculation process:

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

[0094]

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

[0096] S203: Using pipeline pressure loss data, combined with flow demand and pressure loss range, optimizing and adjusting pipelines, identifying and recording pressure losses and pipelines that do not meet the requirements, and generating flow and pressure optimization records. The execution process is as follows;

[0097] The pipeline pressure loss data was analyzed in detail, including the starting and ending pressures of each pipeline section. The data was obtained by real-time monitoring through high-precision pressure sensors. According to the flow demand, the pressure loss of each pipeline was evaluated using a calculation model to identify pipelines with pressure losses outside the expected range. Through analysis, the pipeline diameter was adjusted or the pipeline layout was changed to optimize the flow and pressure distribution of the entire system. The process not only ensured the efficiency of the system, but also met the design standards, improved the reliability and safety of the system, and generated flow and pressure optimization records.

[0098] See also Figure 4 , 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:

[0099] S301: Utilize the flow and pressure optimization records to optimize the size and layout of the pipeline, adjust the diameter of the pipeline, the number and position of elbows, optimize the pipeline direction, avoid the area of ​​pressure loss, and generate the execution process of the pipeline optimization draft 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 pressure loss, Q represents flow rate, L represents pipe length, g represents gravity acceleration, and D represents 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 2. If the original diameter D is 0.5 meters, calculate the pressure loss In this way, the diameter is adjusted or the pipeline is re-routed to reduce pressure loss and ensure efficient operation of the pipeline system.

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

[0102] Select suitable pipe materials from a variety of materials such as steel, PVC, etc., consider the mechanical properties and cost-effectiveness of the materials, and analyze the performance of each material in actual construction. For example, although steel pipes are durable, they are expensive, while PVC pipes are cheap but not suitable for high-temperature environments. By comparing material properties and combining construction space limitations, optimize material selection and construction plans. Such analysis helps ensure that the selected materials not only meet construction requirements, but also meet long-term operational needs, achieve the optimal balance between cost and benefit, and generate pipeline material and construction evaluation results.

[0103] S303: Based on the pipeline material and construction evaluation results, the execution process of generating the pipeline network design measures is as follows, with comprehensive reference to 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 operation and maintenance. Advanced simulation technology is used to predict the performance of various materials in actual use environments, and the pipeline layout and size are adjusted accordingly. Taking into account the overall design requirements of the building's mechanical and electrical systems, especially thermal efficiency and fluid dynamics, this comprehensive evaluation ensures the scientific and practical nature of the pipeline network design, provides strong support for the energy efficiency and safety of the entire building, and generates pipeline network design measures.

[0105] See also Figure 5 , according to the pipeline network design measures, adjust the materials, dimensions and layout in the pipeline design, calculate and compare the energy efficiency and cost of the 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, the genetic algorithm is used to adjust the size, material, wall thickness and layout of the building's mechanical and electrical pipes, modify the pipe path to avoid energy consumption and control costs, and generate the adjusted pipe optimization draft. The execution process is as follows;

[0107] The formula of 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 the traditional pipeline, 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 pipeline diameter on the optimization target, which determines the influence of 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 influence of pipeline diameter on target optimization is greater, 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 needs of the project. The impact of energy consumption on the overall optimization is 0.3 (that is, in 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. The project has a high requirement for cost control, and 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 extracted 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 pipeline is made of steel. According to relevant standards, the tensile strength S of steel is 250MPa (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-hour);

[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 450 kWh (kilowatt-hours);

[0119] The pipeline installation cost C1 can be obtained through market research or real-time data. It is set according to 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, calculating the energy efficiency of each optimization draft, evaluating the energy consumption of the pipeline under differentiated layout, material and size conditions, and combining the construction and maintenance costs to generate the 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 layouts, materials and sizes. In the formula, E represents energy consumption, P represents pressure loss, Q represents flow rate, t represents operating time, and η represents system efficiency. If the pressure loss P of a pipeline system is 2 Pa, the flow rate Q is 0.1, the operating time t is 3600 seconds (1 hour), and the system efficiency η is 0.8, then the energy consumption E can be calculated by Joule calculation. This calculation method not only takes into account the physical parameters of the pipe, but also includes 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 execution process of the pipeline design optimization parameters as follows;

[0133] The energy efficiency data and construction and maintenance costs of each optimization draft were comprehensively analyzed, and the design scheme with the highest energy efficiency and the best cost was identified through advanced data analysis tools. The analysis tool takes into account a variety of factors, such as material costs, construction difficulty, and expected maintenance costs, and combines energy efficiency data for comprehensive evaluation. Through this method, it can be clearly determined that the design scheme can provide the best economic and environmental benefits in long-term operation, providing a scientific basis for decision makers to ensure that the selected design scheme is both economical and environmentally friendly, and generating pipeline design optimization parameters.

[0134] See also Figure 6 ,Through pipeline design optimization parameters, multiple types of scheduling parameters in building mechanical and electrical are input into the BIM model, and the dependencies and impacts between 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 building mechanical and electrical systems are input into the BIM model, including flow, pressure, temperature and regulating valve settings, and the matching degree between multiple types of parameters and the geometric information and flow characteristics of the pipeline is analyzed. The execution process of obtaining the scheduling parameter input data is as follows;

[0136] Each dispatch parameter is accurately entered into the BIM model through an advanced data input interface to ensure data accuracy and real-time performance. The powerful computing power of the BIM model is used to analyze in detail the interaction between the parameters and the geometric dimensions, material properties and flow conditions of the pipeline. For example, flow and pressure data help determine the water flow rate and the pressure bearing capacity of the pipeline, temperature affects the thermal expansion of the material, and the setting of the regulating valve directly regulates the flow characteristics. This analysis process ensures that the setting of the dispatch parameters is perfectly matched with the pipeline design, optimizes the performance and efficiency of the entire system, and obtains the dispatch parameter input data.

[0137] S502: Based on the scheduling parameter input data, the dependency relationship between the differentiated scheduling parameters is analyzed, and the impact path of the scheduling parameters on the pipeline performance is identified by calculating the impact degree of each parameter. The execution process of generating the 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. In the formula, ΔP represents the pressure change, μ represents the viscosity of the fluid, L represents the length of the pipeline, Q represents the flow rate, and r represents the radius of the pipeline. Set the viscosity of the water in the pipeline μ to 1×10 -3 Pa·second, 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 influence relationships of multiple scheduling parameters are sorted out, and the influence degrees are prioritized to generate the scheduling parameter influence matrix. The execution process is as follows;

[0140] The interdependence and influence between various parameters such as flow, pressure, temperature and control valve settings are comprehensively analyzed, the specific impact of each parameter on system performance is calculated, and the parameters are prioritized according to the impact. This ranking is based on the evaluation of the impact on system efficiency and safety, ensuring that key parameters are adjusted first. Such analysis not only improves the response efficiency of the system, but also ensures the reliability and stability of the system operation, making the overall design more scientific and reasonable, and generating a scheduling parameter impact matrix.

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

[0142] S601: Using the scheduling parameter impact matrix, multiple scheduling parameters in the building mechanical and electrical system are adjusted, the setting values ​​of the parameters are optimized, the operating conditions are adjusted, and the execution process of generating a scheduling parameter adjustment plan 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 formula E total =∑(P i ×C i ×T), the setting value of the optimization parameter. total Represents the total energy consumption, P i represents the power consumption caused by the i-th parameter, C i Represents the cost per unit of 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 ensures that energy consumption and cost are controlled at the optimal state.

[0144] S602: 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, and the balance between energy efficiency optimization and cost savings under the differentiated scheduling parameter adjustment scheme is evaluated. The execution process of generating energy efficiency and cost optimization results is as follows;

[0145] Use advanced simulation tools to evaluate the impact of different scheduling parameter settings on the energy consumption of the entire building. For example, adjusting the temperature setting reduces the energy consumption of the air conditioning system, but at the same time, the balance with human comfort must be considered. Adjusting the lighting intensity can save electricity, but sufficient light must be ensured to meet the needs of the working environment. Through this comprehensive evaluation, the most cost-effective parameter settings can be identified, and operating costs can be controlled while ensuring the energy efficiency of the building, 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 operation requirements of the building, and the effects of energy efficiency and cost control are evaluated. The execution process of generating the optimal scheduling plan is as follows;

[0147] The specific impact of scheduling parameters such as temperature, humidity and lighting intensity on energy efficiency and cost is analyzed in detail. For example, appropriately lowering the temperature setting can significantly reduce the energy consumption of the air-conditioning system, while adjusting the humidity setting can improve air quality and reduce the burden on the air handling device. At the same time, optimizing the control strategy of the lighting system, such as using smart sensors and timers, not only saves energy but also extends the service life of the equipment. Through optimization measures, the efficient operation and cost control of the building are ensured, providing users with an economical and environmentally friendly operating environment, and generating the optimal scheduling plan.

[0148] See also Figure 8 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, and the system comprises:

[0149] The pipeline data extraction module extracts the data of multiple pipeline components in the building mechanical and electrical system based on the BIM model, including pipeline length, diameter, connection method and installation location. It analyzes the size and layout of the pipeline in combination with the pipeline design requirements and the physical characteristics of the components, and generates a pipeline layout planning scheme.

[0150] The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines according to 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 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, 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 into the BIM model, analyzes the dependencies and impacts between the scheduling parameters, optimizes temperature, humidity and lighting intensity, comprehensively refers to energy efficiency and cost control, and generates the optimal scheduling plan.

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

Claims

1. A building electromechanical comprehensive optimization method based on BIM model, characterized in that: The method comprises: Use the BIM model to extract data on multiple pipeline components in the building's mechanical and electrical systems, analyze pipeline size and layout based on pipeline design requirements and the physical characteristics of multiple components, determine pipeline functional positioning, and obtain pipeline layout planning solutions; The pipeline layout planning scheme is adopted to calculate the matching of pressure loss and flow demand of multiple pipelines, identify the flow demand and pressure loss range of the pipelines according to the pipeline size and layout, and generate flow and pressure optimization records; 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 the use of pipeline materials and construction difficulty, and generate pipeline network design measures; According to 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; Through the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical are input into the BIM model, the dependency and influence between the parameters are analyzed, and the scheduling parameter influence matrix is ​​generated; Based on the scheduling parameter influence 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.

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 flow demand range, pressure loss range, and flow and pressure matching of the pipeline. 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 the data of multiple pipeline components in the building mechanical and electrical system. The pipeline size and layout are analyzed in combination with the pipeline design requirements and the physical characteristics of multiple components to determine the pipeline function positioning. The specific steps for obtaining the pipeline layout planning scheme are as follows: Use the BIM model to extract data of multiple pipeline components in the building's mechanical and electrical systems, including geometric information, size data, connection locations, and spatial coordinates of pipeline installation points. Analyze the connection relationships between pipeline components, analyze the start and end locations of pipeline paths, and extract design constraints to obtain pipeline component data sets. Based on the pipeline component data set, pipeline dimensions, layout information, flow requirements and installation restrictions are sorted out, the impact between pipelines is compared, whether there is a spatial conflict, and the physical relationship is determined in combination with the flow characteristics of the pipelines, and the functional positioning is identified to generate a pipeline functional positioning table; The pipeline function positioning table is used to optimize the spatial distribution, pipeline path and pipeline access points of the pipeline in combination with the spatial layout requirements, evaluate the pipeline direction and intersection position, and generate a pipeline layout planning scheme with reference to the influence of the building structure.

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 adopted to calculate the matching of pressure loss and flow demand of multiple pipelines, and the flow demand and pressure loss range of the pipelines are identified according to the pipeline size and layout. The specific steps of 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 according to the geometric size, 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, and the pressure loss of each section of the pipeline is calculated in combination with 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 formula of the Darcy-Weisbach formula is as follows: Among them, 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 zth 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 zth section of the pipeline, K valves,z Represents the valve coefficient of the zth pipeline section.

6. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: 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, the pressure loss area is avoided, and a pipeline optimization draft is generated; According to the pipeline optimization draft, combined with the material requirements, construction space and structural limitations of the pipeline, evaluate the selection of pipeline materials, analyze the impact of differentiated pipeline materials on construction difficulty, cost and durability, and generate pipeline material and construction evaluation results; Through the pipeline material and construction evaluation results, the pipeline network design measures are generated with comprehensive reference to material selection, construction feasibility and building mechanical and electrical pipeline optimization requirements.

7. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: According to the pipe network design measures, the materials, dimensions and layout in the pipe design are adjusted, the energy efficiency and cost of the differentiated pipe layout planning schemes are calculated and compared, and the steps for generating the pipe design optimization parameters are as follows: 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 path to avoid energy consumption and control costs, and generate an adjusted pipe optimization draft; Using the adjusted pipeline optimization draft, calculating the energy efficiency of each optimization draft, evaluating the energy consumption of pipelines under differentiated layout, material and size conditions, and generating energy efficiency and cost evaluation results in combination with 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 the traditional pipeline, and W1, W2 and W3 are weight coefficients.

8. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: Through the pipeline design optimization parameters, multiple types of scheduling parameters in the building mechanical and electrical are input into the BIM model, the dependency and influence between the parameters are analyzed, and the steps of generating the scheduling parameter influence matrix 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, and 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; Based on the scheduling parameter input data, the dependency relationship between the differentiated scheduling parameters is analyzed, and by calculating the influence degree of each parameter, the influence path of the scheduling parameter on the pipeline performance is identified, and a scheduling parameter dependency analysis table is generated; According to the scheduling parameter dependency analysis table, the influence relationships of multiple scheduling parameters are sorted out, and the influence degrees are prioritized to generate a scheduling parameter influence matrix.

9. The building electromechanical comprehensive optimization method based on the BIM model according to claim 1 is characterized in that: Based on the scheduling parameter influence matrix, multiple scheduling parameters in the building mechanical and electrical system are adjusted to optimize temperature, humidity and lighting intensity, and the steps of generating the optimal scheduling solution by comprehensively referring to energy efficiency and cost control are as follows: The scheduling parameter influence matrix is ​​used to adjust multiple scheduling parameters in the building electromechanical system, optimize the setting values ​​of the parameters, adjust the 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.

10. A building electromechanical comprehensive optimization system based on BIM model, characterized in that: According to the method for comprehensive optimization of building electromechanical systems based on a BIM model according to any one of claims 1 to 9, the system comprises: The pipeline data extraction module extracts the data of multiple pipeline components in the building mechanical and electrical system based on the BIM model, including pipeline length, diameter, connection method and installation location. It analyzes the size and layout of the pipeline in combination with the pipeline design requirements and the physical characteristics of the components, and generates a pipeline layout planning scheme. The pressure-flow matching module uses the pipeline layout planning scheme to analyze the pressure loss and flow requirements of multiple pipelines according to 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, 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 the 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 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, comprehensively refers to energy efficiency and cost control, and generates the optimal scheduling plan.

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