Constructional engineering project cost control method and system considering carbon reduction effect

Abstract

The invention discloses a construction engineering project cost management and control method and system considering a carbon reduction effect, and the method comprises the steps: recording and managing all cost information of a construction engineering project, generating a cost analysis report, calculating the carbon emission of the whole construction engineering project, carrying out the evaluation of the implementation effects of different carbon reduction measures, and carrying out the calculation of the carbon emission of the whole construction engineering project. The method comprises the following steps of: calculating the influence on the project cost, proposing optimization suggestions according to the data of a carbon emission calculation and carbon reduction benefit evaluation module, finally monitoring the carbon emission and cost conditions of the project in real time, and automatically generating a monitoring report in combination with the actual progress of the project. According to the method, evaluation and control of carbon emission are closely combined with cost management and control of the construction project, and the carbon reduction benefit is maximized in project management.

Description

Technical Field

[0001] The present invention relates to the field of construction project management, and in particular to a construction project cost control method and system taking carbon reduction effects into consideration. Background Art

[0002] With the growing severity of global climate change, carbon reduction has become a major challenge facing all industries worldwide, especially the construction industry. As a major energy consumer and carbon emitter, the construction industry significantly impacts carbon emissions through energy use, material production and transportation, and facility operations. Therefore, achieving a green and low-carbon transformation in construction projects has become a key goal of modern construction project management.

[0003] In traditional construction project management, cost control primarily focuses on capital budgeting, labor costs, and material procurement, lacking effective monitoring and management of carbon emissions. This cost control approach fails to fully consider the environmental impact of construction projects, resulting in significant carbon emissions and wasted resources. In particular, carbon reduction targets are not effectively integrated into aspects such as building material selection, construction techniques, and energy consumption, resulting in high carbon emissions and hindering the sustainable development of construction projects.

[0004] Currently, many countries and regions are imposing stricter requirements on carbon emissions from construction projects, some even imposing legal and regulatory limits on project carbon emissions. To meet this challenge, the construction industry urgently needs new cost control systems and methods that integrate carbon reduction benefits into every aspect of cost management. This will not only help the construction industry achieve a transition to an environmentally friendly and low-carbon economy, but also help construction companies find new optimization paths for cost control.

[0005] However, current construction project management systems and methods still have the following shortcomings:

[0006] Carbon emission control and cost control have not been effectively combined: Although some project management systems have begun to consider energy conservation and emission reduction, most have still failed to fully integrate carbon emission assessment and control into a comprehensive project cost management framework, resulting in the separation of carbon reduction effects and cost control, making it difficult to form a synergistic force.

[0007] Lack of economic assessment of carbon reduction measures: Existing systems often focus on the calculation of carbon emissions, but lack effective analysis and decision-making support tools for balancing costs and carbon reduction benefits after implementing carbon reduction measures, and achieving a balance between carbon reduction targets and project economic benefits.

[0008] The integration of project carbon emission and cost data is difficult: Construction project carbon emissions are influenced by numerous factors, including building design, material selection, construction process, and equipment usage. The diversity and complexity of these factors make the collection and analysis of carbon emission data challenging. Furthermore, the complexity of construction project cost data makes integration and optimization on a unified platform difficult with traditional systems.

[0009] Therefore, developing a construction project management and control system that can simultaneously consider carbon reduction and cost control has become a pressing technical challenge for the construction industry. This system must not only track carbon emissions and project costs in real time, but also provide economic assessments of carbon reduction measures, helping project managers make informed decisions and achieve a win-win situation for both green and low-carbon projects and cost optimization. Summary of the Invention

[0010] In view of the above-mentioned technical problems in the existing construction project management, the purpose of the present invention is to provide a construction project cost control method that takes into account the carbon reduction effect. By closely combining the assessment and control of carbon emissions with the cost control of construction projects, it maximizes the carbon reduction benefits in project management while reducing project costs. On this basis, it also provides a construction project cost control system that takes into account the carbon reduction effect, which effectively overcomes the problems existing in the existing technology.

[0011] In order to achieve the above objectives, the present invention provides a construction project cost control method considering carbon reduction effects, the control method comprising the following steps:

[0012] S1: Project initiation and data initialization

[0013] This step is used to collect basic information of the project and set initial data in real time;

[0014] S2: Model building

[0015] This step automatically establishes the project's cost budget model and carbon emission model based on the data entered in S1 above. The system automatically calculates the preliminary carbon emissions and budget costs based on these data and generates a preliminary project cost report and carbon emission report;

[0016] S3: Carbon emissions calculation and dynamic tracking

[0017] This step is used to calculate the carbon emissions of each stage of the project and dynamically adjust the carbon emissions calculation based on the data collected and updated in real time by the system.

[0018] S4: Assessment and selection of carbon reduction measures

[0019] This step is based on the carbon emissions calculation in S2 and the basic project information in S1, and combined with actual needs. Through multi-dimensional analysis, it evaluates the implementation cost and energy-saving effect of different carbon reduction measures, generates a carbon reduction benefit report, and recommends the most appropriate carbon reduction measures;

[0020] S5: Cost Optimization and Recommendations

[0021] This step analyzes the impact of different carbon reduction measures on the total cost of the project based on the data provided by the carbon emission calculation module and the carbon reduction benefit assessment module, and generates optimization suggestions.

[0022] S6: Dynamic monitoring and risk warning

[0023] This step tracks the project's carbon emissions and cost data in real time. When the carbon emissions or costs of a certain link exceed the predetermined threshold, an early warning is automatically triggered to remind project managers to take adjustment measures.

[0024] Furthermore, the carbon emission calculation process for each stage includes the following steps:

[0025] First, at every stage of the construction process, the system collects data on material usage, equipment operation, energy consumption, and transportation in real time;

[0026] Then, based on the above collected data and in conjunction with the carbon emission calculation formula, the carbon emissions generated by the project at each stage are calculated.

[0027] Furthermore, the dynamic adjustment of carbon emission calculation includes the following steps:

[0028] First, the system monitors various data on the construction site in real time and collects them into the system in real time;

[0029] Then, when new data is entered or updated in real time, the system will automatically recalculate the project's carbon emissions based on the carbon emissions calculation formula.

[0030] Furthermore, the determination of the carbon reduction measures is based on the carbon emission sources and cost structure of the project.

[0031] Furthermore, the carbon reduction measures assessment process includes the following steps:

[0032] The system collects implementation data of each optional carbon reduction measure and the actual operation data of the project;

[0033] The system compares and analyzes the carbon reduction benefits, economic efficiency, investment payback period, and technical maturity and feasibility of all carbon reduction options, and provides a comprehensive score for each option;

[0034] Assign a comprehensive score to each carbon reduction measure through a multi-objective optimization model, and select the most appropriate measure based on the score;

[0035] Recommend the best carbon reduction options, giving priority to measures with the highest cost-effectiveness and the best carbon reduction effects;

[0036] Based on project implementation progress and on-site data, the system regularly provides feedback and adjustments on the effectiveness of carbon reduction measures.

[0037] Furthermore, the cost optimization in S5 includes the following steps:

[0038] The system obtains all relevant data from the aforementioned S3 and S4;

[0039] The system conducts a comprehensive evaluation of different carbon reduction measures through weighted average or multi-objective optimization models and compares their cost-effectiveness;

[0040] The system also needs to compare the carbon emission costs and benefits of different carbon reduction measures;

[0041] Based on the cost and carbon emission cost-effectiveness analyzed above, combined with the actual needs and budget of the project, priority is given to recommending cost-effective carbon reduction measures;

[0042] Reassess the cost-effectiveness of carbon reduction measures based on changes in real-time data and propose new optimization recommendations.

[0043] Furthermore, the dynamic monitoring and early warning combines project progress and actual data to automatically generate real-time monitoring reports for the project, showing carbon emission trends and cost expenditures at each stage, and supporting interactive viewing of data from different time periods.

[0044] Furthermore, the cost control method also includes a summary and evaluation of the project completion stage. After the project is completed, the system automatically summarizes the carbon emission data and cost data of the entire project and generates a carbon reduction benefit report and a cost analysis report.

[0045] Furthermore, the construction project cost control method considering carbon reduction effects can also display carbon emissions and cost situations through data visualization technology.

[0046] To achieve the above objectives, the present invention provides a construction project cost control system that takes carbon reduction effects into consideration, comprising:

[0047] A project cost management module, which is used to record and manage various cost information of construction projects and generate cost analysis reports;

[0048] A model building module, which interacts with the project cost management module to automatically build a cost budget model and a carbon emission model for the project based on the data input by the project cost management module. The system automatically calculates preliminary carbon emissions and budget costs based on these data and generates preliminary project cost reports and carbon emission reports;

[0049] A carbon emissions calculation and dynamic tracking module, which is used to calculate the carbon emissions generated by the project at each stage using a carbon emissions formula based on relevant data collected in real time, and the carbon emissions calculation is dynamically adjusted as actual data is updated;

[0050] A carbon reduction benefit assessment module, which interacts with the project cost management module and the carbon emission calculation and dynamic tracking module. Based on project cost information and carbon emission calculations, and combined with actual needs, it conducts multi-dimensional analysis to evaluate the economic feasibility, carbon emission reduction effect, and energy-saving benefits of different carbon reduction measures, and generates a carbon reduction benefit report.

[0051] A cost optimization module, which interacts with the carbon emission calculation and dynamic tracking module and the carbon reduction benefit assessment module. Based on the data from the carbon emission calculation and carbon reduction benefit assessment modules, it analyzes the impact of different carbon reduction measures on the total cost of the project and generates optimization suggestions.

[0052] The dynamic monitoring and early warning module interacts with the dynamic tracking module to track the carbon emissions and cost data of the project in real time. When the carbon emissions or costs of a certain link exceed the predetermined threshold, an early warning is automatically triggered to remind the project manager to take adjustment measures.

[0053] The present invention provides a construction project cost control method and system that takes carbon reduction effects into consideration. By introducing modules such as carbon emission calculation, carbon reduction benefit assessment, dynamic monitoring and early warning, it organically combines carbon emission control with cost control, thereby achieving energy conservation and emission reduction goals while optimizing the project's cost structure.

[0054] Secondly, an economic analysis of the implementation effects of carbon reduction measures is conducted to help project managers balance costs and benefits when implementing carbon reduction measures and avoid cost out-of-control caused by blind emission reduction.

[0055] In addition, through systematic analysis of carbon emission data and project cost data, project managers are supported to make scientific decisions based on carbon reduction benefits, achieving dual guarantees of project sustainability and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention is further described below with reference to the accompanying drawings and specific embodiments.

[0057] Figure 1A flowchart of the cost control method for construction projects that takes carbon reduction effects into consideration;

[0058] Figure 2 Schematic diagram of a construction project cost control system that takes carbon reduction into consideration. DETAILED DESCRIPTION

[0059] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below with reference to specific illustrations.

[0060] In the existing construction project management, there are technical problems such as the failure to effectively combine carbon emission control and cost control, the lack of economic evaluation of carbon reduction measures, and the difficulty in integrating the project's carbon emission data and cost data. To address this technical problem, the present invention provides a construction project cost management system that takes carbon reduction effects into consideration. By closely combining the evaluation and control of carbon emissions with the cost management of construction projects, it maximizes carbon reduction benefits in project management while reducing project costs and promoting the development of green buildings.

[0061] The cost control method for construction projects considering carbon reduction effects provided by the present invention includes the following steps. Figure 1 :

[0062] S1: Project initiation and data initialization

[0063] This step is used to collect basic information of the project and set initial data in real time.

[0064] Specifically, at the beginning of a project, the project manager enters basic project information through the system. This information includes:

[0065] Construction plan: defines the specific construction plan of the project, the process flow of each construction stage, construction time, etc.

[0066] Material selection: Enter the planned building material information, such as concrete, steel, building exterior wall materials, etc., and mark the carbon emission coefficient of each material.

[0067] Equipment configuration: The main construction machinery and equipment used in the registered project, such as tower cranes, excavators, etc., as well as their energy consumption and carbon emission coefficients.

[0068] This information can be input in a variety of ways, such as manual input, importing from existing data systems, scanning data using QR codes or barcodes, importing data into templates, integrating with smart device interfaces, etc., to ensure the accuracy and efficiency of the information. Specifically:

[0069] (1) Manual input

[0070] Project managers manually enter basic project information item by item through the system's simple interface. This includes data such as project name, project number, construction period, project type, building area, construction plan, and material selection. The system facilitates user input through input boxes and drop-down menus. This method is suitable for scenarios with relatively small amounts of information and simple projects, allowing for flexible and rapid entry of project information.

[0071] (2) Import from existing data systems

[0072] By integrating with existing data sources such as enterprise resource planning (ERP) systems, project management systems, and architectural design software, the system can automatically import project budgets, construction plans, material procurement lists, and other information. For example, the system can directly import project cost data from the ERP system and extract construction plans and design drawings from architectural design software. This approach avoids duplicate information entry, reduces manual errors, and improves data entry efficiency. This method is a highly efficient data entry method, particularly suitable for large projects.

[0073] (3) Scan and input QR code or barcode

[0074] Each piece of equipment or batch of construction materials can be labeled with a QR code or barcode. Project managers scan the QR code on the equipment or materials, and the system automatically imports relevant information, such as equipment model, power, material type, and quantity. This method is particularly suitable for processes such as material procurement and equipment delivery, greatly improving the efficiency and accuracy of information collection. This method is also suitable for scenarios where real-time input of equipment, material, and other information is required during on-site construction.

[0075] (4) Data import template

[0076] For bulk imports, project managers can use the system's provided import templates to fill in project information in Excel spreadsheets and then import the spreadsheets into the system. This allows project managers to quickly and accurately import large amounts of project information. This method is particularly suitable for scenarios involving multiple projects or large amounts of project data.

[0077] (5) Integration with smart device interfaces

[0078] This approach uses Internet of Things (IoT) devices, equipment, and sensors on project sites to collect data in real time. Smart sensors monitor carbon emissions, energy consumption, material usage, and other data on the construction site in real time. All data is transmitted to cloud servers via wireless or wired networks, ensuring real-time synchronization and updates. This process is accomplished using efficient communication protocols (such as MQTT and HTTP), ensuring real-time and accurate data. This approach enables real-time data collection and processing, and is of great value for projects with high data demands or strong real-time requirements.

[0079] S2: Model building

[0080] This step automatically establishes the project's cost budget model and carbon emission model based on the data entered in step 1 above. The system automatically calculates the preliminary carbon emissions and budget costs based on these data, and generates a preliminary project cost report and carbon emission report, providing preliminary reference data for subsequent management.

[0081] S21: Establishment of cost budget model

[0082] The cost budget model is established based on the input project cost data. The system analyzes the project's construction plan, material list, equipment usage and other data, and calculates the project's budget cost according to Formula 1:

[0083]

[0084] in:

[0085] C total is the total project cost;

[0086] C material,i is the cost of the i-th material;

[0087] C labor,i is the cost of construction labor for item i;

[0088] C equipment,i The cost of equipment used for item i;

[0089] C overhead,i is the other indirect costs of item i (such as management fees, on-site facility fees, etc.).

[0090] The system automatically calculates various costs by reading the project's material list, equipment list, labor cost and other data, and summarizes the total cost of the project.

[0091] S22: Establishment of carbon emission model

[0092] The establishment of a carbon emission model mainly evaluates the environmental impact of a project by calculating the carbon emissions at each stage of the project. Carbon emissions are mainly composed of carbon emissions from energy consumption, material use, transportation, etc. during the construction process. Carbon emissions can be calculated using Formula 2:

[0093]

[0094] in:

[0095] E total is the total carbon emissions of the project;

[0096] E material,i is the carbon emissions generated during the production and transportation of the i-th material;

[0097] E labor,i Carbon emissions generated during transportation, usually calculated based on the transportation distance and the means of transportation used;

[0098] E equipment,i Carbon emissions generated by equipment operation, usually calculated based on the equipment's energy consumption and usage time;

[0099] E overhead,i Carbon emissions generated by energy (such as electricity and fuel) used during building construction.

[0100] Each carbon emission source can be calculated according to a specific carbon emission factor. For example:

[0101] Ematerial,i=Quantity of materiali×Carbon emission factori

[0102] Among them, Quantity of materiali is the amount of material used, and Carbon emission factori is the carbon emission coefficient of the material (usually provided by the material manufacturer or referenced from the data in the standard database).

[0103] For example, suppose a construction project uses 100 tons of ordinary steel and 200 tons of concrete. The carbon emission coefficient of steel is 1.8 kg CO2 / kg, and the carbon emission coefficient of concrete is 0.9 kg CO2 / kg. Then, the material carbon emissions of the project are calculated as follows:

[0104] Esteel = 100 × 1.8 = 180t CO2

[0105] Econcrete=200×0.9=180t CO2

[0106] On this basis, if a diesel truck is used for transportation, the transportation distance is 50 kilometers, and the carbon emission coefficient of transportation is 0.3kg CO2 / km·t, then the carbon emissions of the transportation process are:

[0107] Etransport=(100+200)×0.3×50=4500kg CO2=4.5t CO2

[0108] Finally, considering the carbon emissions from material production and transportation, the total carbon emissions of the project are:

[0109] Etotal=180+180+4.5=364.5t CO2

[0110] This calculation not only takes into account the impact of different materials and transportation methods, but can also be dynamically adjusted according to the construction progress to ensure that accurate carbon emission data is provided to project managers.

[0111] Therefore, the carbon emission model constructed by this solution has the following advantages over existing technologies:

[0112] Dynamic calculation based on comprehensive construction process data: Existing carbon emission calculations mostly use static data models and only provide estimated values ​​at the beginning of the project. The carbon emission model of the present invention supports dynamic updating of carbon emissions during project implementation. That is, the system can adjust carbon emission data in real time as construction progresses and actual conditions such as material usage and equipment operation change, providing more accurate predictions.

[0113] Refined carbon emission source analysis: Traditional carbon emission models typically focus on a few key sources of carbon emissions. However, this invention provides detailed carbon emission analysis across multiple sub-sectors of the construction process, such as material production, transportation, equipment use, and energy consumption. This detailed analysis allows the system to quantify carbon emissions at every stage, ensuring more accurate calculations.

[0114] Multi-dimensional selection of material carbon emission coefficients: In existing technologies, the carbon emission coefficient of a material is typically a unified standard value. However, the system of the present invention supports adjusting the carbon emission coefficient based on multiple factors, such as material source, production process, and transportation method. For example, for the same material, the present invention can adjust the carbon emission coefficient differently based on factors such as its manufacturer, production process used, and transportation distance. This flexibility significantly improves the accuracy of the carbon emission model.

[0115] S3: Carbon emissions calculation and dynamic tracking

[0116] This step is used to calculate the carbon emissions of each stage of the project and dynamically adjust the carbon emissions calculation based on the data collected and updated in real time by the system.

[0117] S31: Carbon Emission Calculation

[0118] The carbon emissions of a project can usually be divided into multiple stages, and the carbon emissions of each stage need to be calculated based on different construction activities. The carbon emissions calculation process for each stage includes the following main steps:

[0119] S311: Data Collection: At each stage of the construction process, the system will collect relevant data in real time. This data includes:

[0120] Material usage data: the amount of each material used (such as steel, concrete, bricks, etc.);

[0121] Equipment operation data: usage time, power consumption, and fuel type (such as diesel, natural gas, electricity, etc.) of each device;

[0122] Energy consumption data: electricity, gas, fuel and other energy consumption at the construction site;

[0123] Transportation data: distance raw materials and equipment were transported, mode of transportation (e.g., truck, train, etc.), and type of fuel used.

[0124] S312: Carbon emission calculation formula: The calculation of carbon emissions is mainly based on the specific carbon emission coefficient of each construction activity. These coefficients are usually provided by national standards, industry standards or equipment manufacturers. The carbon emissions of each stage can be calculated using Formula 3:

[0125]

[0126] in:

[0127] E stage is the carbon emissions during a certain construction phase;

[0128] E material,i The carbon emission of the i-th material is calculated as follows: Ematerial,i = Qmaterial,i × CFmaterial,i, where Qmaterial,i is the amount of material used and CFmaterial,i is the carbon emission coefficient of the material.

[0129] E equipment,i is the carbon emission of the i-th equipment, calculated as: Eequipment,i = Tequipment,i × Pequipment,i × CFequipment, where Tequipment,i is the usage time of the equipment, Pequipment,i is the power of the equipment, and CFequipment is the carbon emission coefficient of the equipment (usually related to the fuel type and operating efficiency of the equipment);

[0130] Eenergy,i is the carbon emission of energy consumption, and the calculation formula is: Eenergy,i = Qenergy,i × CFenergy,i, where Qenergy,i is the energy consumption and CFenergy,i is the carbon emission coefficient of energy;

[0131] E transport,i The carbon emissions during transportation are calculated as follows: Etransport,i = Dtransport,i × Qmaterial,i × CFtransport, where Dtransport,i is the transportation distance, Qmaterial,i is the amount of transported materials, and CFtransport is the carbon emission coefficient of the transportation mode.

[0132] Through these formulas, the system can calculate the carbon emissions generated by the project at each stage (such as civil engineering, installation, commissioning, etc.).

[0133] S32: Dynamic adjustment process

[0134] Since material usage, equipment operation, energy consumption, and transportation conditions are constantly changing during project construction, carbon emissions calculations also need to be dynamically adjusted as these actual data are updated. To this end, the system of the present invention performs dynamic adjustments in the following ways:

[0135] S321: Real-time Data Update: The system dynamically updates data by monitoring various construction site data in real time, such as equipment usage, energy consumption, material procurement and transportation processes. This data is collected and entered into the system in real time through sensors, IoT devices, manual input, or external system import. (For specific input steps, see S1)

[0136] S322: Dynamic Calculation: Whenever new data is input or updated in real time, the system automatically recalculates the project's carbon emissions according to the carbon emissions calculation formula described in S312. For example, if the usage time of construction equipment increases during a certain phase, the system will recalculate the equipment's carbon emissions for that phase based on the equipment's power and usage time, and update the overall project carbon emissions report.

[0137] S323: Feedback Mechanism and Early Warning System: The system compares real-time carbon emission data with pre-set carbon emission targets. If emissions exceed the target at any given stage, the system automatically triggers an early warning mechanism, alerting project managers to take appropriate carbon reduction measures. Based on current carbon emission data, the system also recommends optimizing construction plans or adjusting the use of materials and equipment to reduce carbon emissions in subsequent stages.

[0138] As an example, assume that during the civil engineering phase of a project, the system collects the following data in real time:

[0139] 1,000 tons of steel were used during the construction process, with a carbon emission coefficient of 1.8kg CO2 / kg;

[0140] The construction equipment used 50 excavators, each operating for 8 hours a day with a power of 200kW, and a carbon emission coefficient of 0.3kg CO2 / kWh;

[0141] During the transportation process, each truck transporting the materials traveled 200 kilometers, with a carbon emission coefficient of 0.2kg CO2 / km·t.

[0142] Based on this data, the system will calculate:

[0143] Carbon emissions from steel: Ematerial = 1000 × 1.8 = 1800 kg CO2

[0144] Equipment carbon emissions: Eequipment = 50 × 8 × 200 × 0.3 = 24,000 kg CO2

[0145] Transport carbon emissions: Etransport = 200 × 1000 × 0.2 = 40,000 kg CO2

[0146] Finally, the total carbon emissions of the civil engineering phase are:

[0147] Estage=1800+24000+40000=65600kg CO2=65.6t CO2

[0148] If the system finds in real-time monitoring that a piece of equipment is used for longer than expected or that material usage has increased, the system will recalculate and update the carbon emissions for that period, thereby ensuring accurate monitoring of carbon emissions.

[0149] The carbon emissions calculation and dynamic tracking provided by this solution has the following advantages over existing technologies:

[0150] Real-time data update and dynamic calculation: Most existing technologies use static estimation or periodic inspection of carbon emissions. The present invention can make dynamic adjustments through real-time data updates, making carbon emission calculation more accurate and real-time.

[0151] Comprehensive carbon emission source tracking: This invention tracks carbon emissions in every detail of each stage of project construction, covering multiple aspects such as materials, equipment, energy, and transportation, which is more comprehensive than the single source calculation of existing technologies.

[0152] Intelligent early warning and optimization: By comparing with the project's carbon emission targets, the system can intelligently detect carbon emission anomalies and automatically generate optimization suggestions, helping project managers adjust construction plans in real time to reduce carbon emissions.

[0153] S4: Assessment and selection of carbon reduction measures

[0154] This step is used to conduct real-time evaluation of the implemented carbon reduction measures. Project managers recommend the most appropriate carbon reduction measures and optimize the project's cost structure by comparing the implementation costs and energy-saving effects of different carbon reduction plans.

[0155] S41: Determination of carbon reduction measures

[0156] Carbon reduction measures are determined based on the project's carbon emission sources and cost structure. The system identifies possible carbon reduction measures through the following methods:

[0157] Carbon Emission Source Identification: Based on the carbon emission calculation model built in S22, the system will list in detail the main carbon emission sources at each stage of the project, including material use, energy consumption, equipment operation, and transportation. Using this information, the system can identify the areas with the highest concentration of carbon emissions and identify them as priority areas for carbon reduction.

[0158] Carbon reduction measures database: The system has a built-in carbon reduction measures database, which includes carbon reduction technologies and solutions for different building projects, such as:

[0159] Low-carbon materials: Use low-carbon or environmentally friendly materials, such as carbon capture cement to replace traditional cement and low-carbon steel to replace traditional steel.

[0160] Efficient equipment: Use energy-efficient construction equipment, such as low-emission construction machinery or electric equipment.

[0161] Energy optimization: Use renewable energy sources such as solar and wind power to replace traditional energy sources and optimize energy usage on construction sites.

[0162] Transportation optimization: Optimize logistics transportation routes, use low-emission transportation tools, or adopt centralized transportation methods to reduce carbon emissions during transportation.

[0163] External recommendations: The system can also connect to external databases or expert systems, refer to the best carbon reduction practices and technologies in the industry, and recommend the best carbon reduction solutions for specific projects.

[0164] S42: Real-time evaluation of carbon reduction measures

[0165] The real-time evaluation of carbon reduction measures is mainly to provide project managers with the most optimized carbon reduction plan by comprehensively considering the implementation cost, energy saving effect and carbon emission reduction effect of each carbon reduction measure. The evaluation process includes the following main steps:

[0166] S421: The system collects implementation data of each optional carbon reduction measure and the actual operation data of the project, including:

[0167] Implementation costs: investment costs, equipment purchase costs, personnel training costs, etc. required for each carbon reduction measure.

[0168] Energy saving effect: The estimated amount of energy consumption that can be saved after the implementation of each measure (such as reduced electricity and fuel consumption, etc.).

[0169] Carbon reduction effect: The direct impact of each carbon reduction measure on carbon emissions, usually calculated through the relevant carbon emission coefficient.

[0170] Implementation cycle and feasibility: Some carbon reduction measures may require a longer construction period or technological transformation, and the system also needs to evaluate the feasibility and cycle of their implementation.

[0171] S422: Comparative evaluation: The system conducts comparative analysis on the carbon reduction benefits, economic efficiency, payback period, and technical maturity and feasibility of all carbon reduction options to arrive at a comprehensive score for each option.

[0172] Carbon Reduction Benefit: A measure of the amount of carbon dioxide emissions reduced by carbon reduction measures, usually measured in tons of CO2.

[0173] Cost-effectiveness: The cost per ton of carbon dioxide reduction is calculated using Formula 4.

[0174] Payback Period: A measure of the time it takes to recover the investment in carbon reduction measures, usually measured in years.

[0175] Technology maturity and feasibility: Assess the technological maturity of carbon reduction measures and their feasibility in specific projects.

[0176] Based on the above comparison, a multi-objective optimization model is used to assign a comprehensive score to each carbon reduction measure, and the most appropriate measure is selected based on the score. Commonly used evaluation models include the Analytic Hierarchy Process (AHP) and Grey Relational Analysis.

[0177] S423: Recommended plan: Based on the evaluation results, the system recommends the best carbon reduction plan, giving priority to measures with the highest cost-effectiveness and the best carbon reduction effect.

[0178] S424: Feedback and Adjustment: The system regularly provides feedback and adjustments on the effectiveness of carbon reduction measures based on project implementation progress and on-site data.

[0179] During project implementation, the system collects the latest data related to each carbon reduction measure (such as construction progress, energy consumption, and equipment usage) in real time and adjusts the assessment results of carbon reduction measures based on this real-time data. For example, if the operating efficiency of a piece of equipment is lower than expected, the system will reassess its carbon reduction potential and recommend replacing or optimizing the equipment.

[0180] As an example, consider a construction project considering three carbon reduction measures during construction:

[0181] 1) Low-carbon cement replaces traditional cement:

[0182] Implementation cost: 500,000 yuan

[0183] Carbon emission reduction effect: Reduce CO2 emissions by 1,000 tons

[0184] Energy saving effect: No obvious energy saving effect

[0185] 2) Use electric construction equipment instead of diesel equipment:

[0186] Implementation cost: 1.5 million yuan

[0187] Carbon emission reduction effect: Reduce CO2 emissions by 1,200 tons

[0188] Energy saving effect: Reduce energy consumption by 30%

[0189] 3) Using solar power instead of traditional electricity:

[0190] Implementation cost: RMB 800,000

[0191] Carbon emission reduction effect: Reduce CO2 emissions by 500 tons

[0192] Energy saving effect: Reduce electricity consumption by 40%

[0193] Through a systematic multi-objective optimization evaluation model, assuming that the payback period for all measures is 3 years, after a comprehensive evaluation of the cost-effectiveness and carbon emission reduction effect of each carbon reduction measure, the second option (electric construction equipment replacing diesel equipment) may be recommended as the optimal carbon reduction solution because it not only has a high carbon emission reduction effect, but also can bring considerable benefits in energy conservation, and compared with other measures, its economic efficiency is more reasonable.

[0194] The carbon reduction measures assessment and selection provided by this solution have the following advantages over existing technologies:

[0195] Comprehensive multi-dimensional evaluation: Carbon reduction assessments in existing technologies often focus on a single indicator, such as carbon emission reduction or energy-saving effects. The system of the present invention achieves a more comprehensive and scientific selection of carbon reduction solutions by comprehensively considering multiple evaluation indicators (such as cost, carbon emission reduction, energy-saving benefits, etc.).

[0196] Real-time dynamic adjustment: This approach uses real-time data updates to continuously evaluate and optimize carbon reduction measures throughout the project implementation process, rather than relying on fixed initial assessments. This real-time tracking and dynamic adjustment capability allows for more effective response to changes during construction, ensuring that carbon reduction measures achieve their intended results.

[0197] Intelligent Recommendations and Optimized Decision-Making: The system integrates multi-objective optimization algorithms (such as linear programming, genetic algorithms, and particle swarm optimization) to automatically recommend the most optimized carbon reduction plan based on the project's carbon reduction goals, cost control objectives, and resource constraints. Using machine learning models, the system continuously optimizes recommendations based on historical and real-time data, providing personalized construction plan adjustments. Traditional methods often rely on manual judgment, which is easily influenced by experience and subjective factors.

[0198] S5: Cost Optimization and Recommendations

[0199] This step combines the carbon emission data calculated by S3 and the carbon reduction measures optimized by S4 to analyze the impact of different carbon reduction measures on project costs, provide optimization suggestions, and control costs.

[0200] S51: Key analytical parameters

[0201] When conducting cost optimization analysis, the system is based on the following key parameters:

[0202] Implementation costs of carbon reduction measures: The capital investment required for each carbon reduction measure, including equipment procurement costs, technological transformation costs, material costs, and additional operating and maintenance costs. These costs will directly affect the total project budget.

[0203] Carbon reduction effect: The amount of carbon dioxide emissions that can be reduced by each carbon reduction measure. Carbon reduction effect is usually measured by calculating the amount of carbon dioxide emissions reduced (tons of CO2) and is an indicator that must be considered during the optimization process.

[0204] Energy saving effect: The energy saving performance of each carbon reduction measure, such as reducing energy consumption (such as electricity and fuel). Energy saving effect can indirectly affect project costs and reduce energy expenses.

[0205] Payback period: The time it takes for each carbon reduction measure to recover its investment, calculated as the ratio of investment cost to annual operating cost savings. Measures with shortest payback periods will be prioritized.

[0206] Long-term operating costs: Consider the long-term operating and maintenance costs of carbon reduction measures, including equipment maintenance, energy consumption, labor costs, etc., which will also affect the overall project cost.

[0207] Total project budget: The budget for the entire building project, including construction, management, and operating costs. By comparing this with the budget, the system can calculate the impact of carbon reduction measures on the overall project budget.

[0208] S52: Analysis methods and processes

[0209] When performing cost optimization analysis, the system follows the following process:

[0210] S521: Data Collection and Input: The system obtains all relevant data from S3 and S4, including the implementation cost of each carbon reduction measure, carbon reduction effect, energy saving effect, and investment payback period. The system also collects the overall project budget, expected project goals, and constraints.

[0211] S522: Multi-factor trade-off analysis: The system comprehensively evaluates different carbon reduction measures through weighted average or multi-objective optimization models (such as linear programming, goal programming, etc.) to compare their cost-effectiveness. The specific optimization model can be calculated based on Formula 5:

[0212]

[0213] Among them, "Total Cost of Measure" is the total cost of implementing the measure, "Carbon Reduction" is the carbon reduction effect of the measure, and "Energy Savings" is the energy saving effect of the measure. By optimizing these indicators, the system can determine the cost-effectiveness of each carbon reduction measure.

[0214] S53: Balancing Costs and Carbon Emissions: The system also compares the carbon emission costs and benefits of different carbon reduction measures. For example, some carbon reduction measures may require a larger initial investment but may yield higher long-term energy savings, thus offering a cost advantage in terms of overall costs. By simulating different implementation plans and adjustment strategies, the system provides project managers with optimal cost control recommendations.

[0215] S54: Generation of Optimization Recommendations: During the analysis process, the system not only provides the cost-benefit ratio of each carbon reduction measure but also prioritizes cost-effective carbon reduction measures based on the project's actual needs and budget. For example, if the project budget is limited, the system will tend to recommend carbon reduction measures that require a smaller initial investment but can produce quick results, such as using low-carbon materials or optimizing construction equipment. Furthermore, based on the payback period of each carbon reduction measure, the system recommends measures with shorter payback periods to ensure project costs remain within a manageable range.

[0216] S55: Dynamic Optimization and Adjustment: During project implementation, project managers can adjust carbon reduction measures based on real-time data. The system reassesses the cost-effectiveness of carbon reduction measures based on new data (such as construction progress and changes in energy consumption) and proposes new optimization suggestions to ensure that project costs remain manageable throughout the entire process.

[0217] For example, let's assume a construction project has selected three carbon reduction measures: low-carbon cement, electric construction equipment, and solar panels. Here's a cost-benefit analysis of these measures:

[0218] 1) Low carbon cement:

[0219] Implementation cost: 500,000 yuan

[0220] Carbon emission reduction effect: Reduce CO2 emissions by 1,000 tons

[0221] Energy saving effect: No significant energy saving effect

[0222] Return on investment: 3 years

[0223] 2) Electric construction equipment:

[0224] Implementation cost: 1.5 million yuan

[0225] Carbon emission reduction effect: Reduce CO2 emissions by 1,200 tons

[0226] Energy saving effect: Reduce energy consumption by 30%

[0227] Investment payback period: 4 years

[0228] 3) Solar panels:

[0229] Implementation cost: RMB 800,000

[0230] Carbon emission reduction effect: Reduce CO2 emissions by 500 tons

[0231] Energy saving effect: save 40% of electricity consumption

[0232] Investment payback period: 5 years

[0233] Through the system's multi-objective optimization model analysis, taking into account the project's budget and carbon reduction targets, the system may prioritize a combination of low-carbon cement and electric construction equipment. This is because low-carbon cement has a shorter payback period and significantly reduces carbon emissions, while electric construction equipment, while requiring a larger initial investment, offers significant long-term energy savings and carbon reduction benefits.

[0234] The cost optimization and suggestions provided by the present invention have the following advantages over the existing technology:

[0235] Comprehensive cost-benefit analysis: Traditional cost optimization methods often focus on a single cost or benefit (such as payback period or energy saving effect). This invention provides a more comprehensive cost optimization solution for projects by comprehensively considering multiple factors (including implementation cost, carbon emission reduction effect, energy saving effect, etc.).

[0236] Dynamic Optimization and Real-Time Adjustment: While existing technologies often determine carbon reduction measures at the project's inception, this new technology continuously optimizes the effectiveness of these measures through dynamic updates of real-time data. Based on project progress and actual conditions, the system can adjust optimization strategies in real time, achieving a dynamic balance between project costs and carbon emissions.

[0237] Intelligent recommendation and optimized decision-making: The system intelligently recommends the most appropriate carbon reduction measures based on the project's budget, goals, and actual situation. Traditional methods often rely on manual decision-making or fixed optimization models and are easily affected by experience and subjective factors.

[0238] S6: Dynamic monitoring and risk warning

[0239] This step is used to continuously monitor the project's cost and carbon emission data. Combining the project progress and actual data, it automatically generates real-time monitoring reports for the project, showing the carbon emission trends and cost expenditures at each stage. It also supports interactive viewing of data for different time periods and provides real-time warnings of abnormal situations through dynamic analysis.

[0240] When a project's carbon emissions exceed set standards or costs exceed budgets, the system automatically issues an early warning, reminding project managers to take measures to make adjustments (such as replacing materials, adjusting construction methods, etc.).

[0241] The system has a built-in early warning mechanism that automatically triggers alerts when it detects abnormal data (such as excessively high carbon emissions or unusual energy consumption). These alerts are sent to project managers via mobile push notifications, email, and text messages, ensuring a timely response and providing potential solutions. For example, if carbon emissions at a particular stage exceed expectations, the system will immediately alert managers and recommend switching to low-carbon materials or adjusting the construction plan.

[0242] Cost overruns: If project costs deviate from the budget, the system will immediately alert you and generate detailed reports to help project managers identify the causes of overruns.

[0243] S7: Summary and evaluation of the project completion stage

[0244] This step is used after the project is completed. The system automatically summarizes the carbon emission and cost data for the entire project and generates a carbon reduction benefit report and cost analysis report. By evaluating the effectiveness of carbon reduction measures during project implementation, constructive improvement suggestions are provided, and reference data and experience support are provided for similar projects in the future.

[0245] Total carbon emissions: The system lists the total carbon emissions of the entire project and compares it with the initial budgeted carbon emissions to assess whether the implemented carbon reduction measures have achieved the expected results.

[0246] Cost analysis: By comparing the actual project cost with the budgeted cost, the system gives the final cost control results, analyzes the differences, and provides optimization suggestions.

[0247] Experience summary: The system generates an experience summary report based on the data during the project implementation process to provide reference for similar projects.

[0248] S8: System interface and operation

[0249] The system has a user-friendly interface and supports dual access from both mobile and PC. Project managers can view real-time data, generate reports, adjust construction plans, and make adjustments based on the system's recommendations at any time. The system supports a variety of visual displays such as charts, data analysis reports, and early warning notifications to help managers quickly understand various project information. The specific steps are as follows:

[0250] S81: View Real-Time Data: Project managers can log in to the system via mobile or PC and view key project metrics, such as construction progress, carbon emissions, energy consumption, and cost expenditures, in real time on the main interface. The system uses a data acquisition module to update various construction site data in real time, including carbon emission calculations, energy consumption monitoring, and material usage. This data is synchronized to a cloud database in real time via wireless or wired networks and displayed through a visual interface.

[0251] For example, when a project manager clicks the "Real-time Data" button, the system automatically displays real-time monitoring data and charts showing the progress and status of each step. For example, a chart could display daily carbon emissions, weekly energy consumption, or monthly cost changes. These charts can be adjusted through an interactive interface, allowing users to select different time periods and data sources.

[0252] S82: Report Generation: The system supports customized report generation based on user needs, such as project cost reports, carbon emissions reports, and energy-saving effect reports. Report content is automatically generated based on the latest project data and can be exported as PDF or Excel files for further analysis and decision-making by project managers.

[0253] For example, on the main interface, the administrator clicks the "Generate Report" button and selects the desired report type (e.g., carbon emissions report, cost report, etc.). The system automatically extracts relevant data from the database and generates a standardized report. The user can then select the report format (e.g., chart, text report, data table, etc.) and save or export it directly.

[0254] S83: Adjusting Construction Plans: Based on the real-time data and analysis reports provided by the system, project managers can adjust construction plans as needed. The system not only provides recommendations for carbon reduction measures but also uses optimization algorithms to recommend the most appropriate options, helping managers make decisions.

[0255] For example, when a project manager clicks the "Adjust Plan" button, the system displays the current construction plan along with data such as carbon emissions and costs. The manager can then adjust the plan based on this information. For example, if carbon emissions are too high in a particular construction phase, the system may recommend more environmentally friendly materials or more energy-efficient equipment. The manager can then directly modify the construction plan based on these recommendations, and the system will update the relevant data in real time and display the impact of the adjustments.

[0256] S84: Make adjustments based on system recommendations: The system provides real-time optimization recommendations based on a comprehensive analysis of project progress, carbon emissions, costs, and other data. Based on established carbon reduction and cost control targets, the system automatically recommends potential adjustments. For example, if the system detects that a carbon reduction measure is not achieving the expected results, it will automatically prompt the project manager to take additional measures to make additional adjustments.

[0257] For example, when a project manager clicks the "System Suggestions" button, the system will pop up a list of optimization suggestions for the current project status, including carbon emission reduction effects, energy saving potential, and cost savings suggestions. The manager can make adjustments based on the suggestions, such as adding certain low-carbon materials or optimizing the construction sequence.

[0258] S85: Visualization and Data Analysis Reports: The system provides a variety of visualizations, including charts, data analysis reports, and early warning notifications, to help managers quickly understand project information. Data is displayed in charts, trend graphs, and pie charts, supporting dynamic interaction. Users can filter, zoom, and view data in different dimensions.

[0259] For example, the system displays various charts and data indicators on the main interface, such as carbon emission trends, construction progress bar charts, and energy consumption comparison charts. Users can select different timeframes or indicators to view data changes in real time. Charts can highlight abnormal data using color, shape, and other methods, and automatically provide early warning notifications to help managers respond promptly.

[0260] Data visualization uses modern front-end technologies (such as HTML5, JavaScript, and React) and data visualization frameworks (such as D3.js and Echarts) to create dynamic charts and data displays. Data is retrieved from cloud databases via APIs and updated in real time. The system supports a variety of chart types, including line charts, bar charts, and pie charts. Administrators can freely select and adjust views to view data across different dimensions and time periods.

[0261] The carbon-reduction-focused construction project cost control method presented in this example solution can, when implemented, be implemented as a corresponding software program, forming a corresponding carbon-reduction-focused construction project cost control system. When executed, the software program will execute the carbon-reduction-focused construction project cost control method and store it in a corresponding storage medium for access and execution by a processor.

[0262] See also Figure 2 The construction project cost control system that takes carbon reduction effects into consideration mainly includes the following functions: project cost management module, model building module, carbon emission calculation and dynamic tracking module, carbon reduction benefit evaluation module, cost optimization module and dynamic monitoring and early warning module.

[0263] The project cost management module in this system is used to record and manage various cost information of construction projects and generate cost analysis reports.

[0264] The project cost information here includes labor costs, material costs, equipment usage fees, etc. The project cost data is updated in real time. The project cost management module automatically generates and optimizes cost budgets and analysis reports by interacting with data from other modules and combining the actual progress of the project.

[0265] The project cost management module is configured to execute the above-mentioned project cost management steps to realize corresponding functions.

[0266] The model building module in this system interacts with the project cost management module to automatically establish the project's cost budget model and carbon emission model based on the data input by the project cost management module. The system automatically calculates the preliminary carbon emissions and budget costs based on these data, and generates a preliminary project cost report and carbon emission report.

[0267] The model building module is configured to execute the above model building steps to realize corresponding functions.

[0268] The carbon emission calculation and dynamic tracking module in this system is used to calculate the carbon emissions generated by the project at each stage through the carbon emission formula based on the relevant data collected in real time, and the carbon emission calculation is dynamically adjusted as the actual data is updated.

[0269] The carbon emission calculation and dynamic tracking module is configured to execute the above carbon emission calculation and dynamic tracking steps to realize corresponding functions.

[0270] The carbon reduction benefit evaluation module in this system interacts with the project cost management module and the carbon emission calculation and dynamic tracking module. Based on project cost information and carbon emission calculation, and combined with actual needs, it conducts multi-dimensional analysis to evaluate the economic feasibility, carbon emission reduction effect, energy-saving benefits, etc. of different carbon reduction measures (such as the use of low-carbon materials, green construction technology, etc.), and generates a carbon reduction benefit report.

[0271] The carbon reduction benefit assessment module is configured to execute the above carbon reduction benefit assessment steps to achieve corresponding functions.

[0272] The cost optimization module in this system interacts with the carbon emission calculation and dynamic tracking module and the carbon reduction benefit evaluation module. Based on the data from the carbon emission calculation and carbon reduction benefit evaluation modules, it analyzes the impact of different carbon reduction measures on the total cost of the project and generates optimization suggestions.

[0273] The cost optimization module is configured to execute the above cost optimization steps to achieve corresponding functions.

[0274] The dynamic monitoring and early warning module in this system interacts with the carbon emission calculation and dynamic tracking module to track the project's carbon emissions and cost data in real time. When the carbon emissions or costs of a certain link exceed the predetermined threshold, an early warning is automatically triggered to remind project managers to take adjustment measures.

[0275] The dynamic monitoring and early warning module is configured to execute the above-mentioned dynamic monitoring and early warning steps to realize corresponding functions.

[0276] The construction project cost control system that takes carbon reduction effects into consideration based on the above solution organically combines carbon emission control with cost control by introducing modules such as carbon emission calculation, carbon reduction benefit evaluation, dynamic monitoring and early warning. This can not only achieve energy conservation and emission reduction goals, but also optimize the project's cost structure.

[0277] Secondly, an economic analysis of the implementation effects of carbon reduction measures is conducted to help project managers balance costs and benefits when implementing carbon reduction measures and avoid cost out-of-control caused by blind emission reduction.

[0278] Through systematic analysis of carbon emission data and project cost data, we support project managers in making scientific decisions based on carbon reduction benefits, thus achieving dual guarantees of project sustainability and economic benefits.

[0279] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for cost control of construction projects considering carbon reduction effects, characterized in that: The control method comprises the following steps: S1: Project start-up and data initialization This step is used to collect basic information of the project and set initial data in real time; S2: Model building This step automatically establishes the cost budget model and carbon emission model of the project based on the data input in S1 above. The system automatically calculates the preliminary carbon emission and budget cost based on these data and generates a preliminary project cost report and carbon emission report; S3: Carbon emissions calculation and dynamic tracking This step is used to calculate the carbon emissions at each stage of the project and dynamically adjust the carbon emissions calculation based on the data collected and updated in real time by the system. S4: Assessment and selection of carbon reduction measures This step is based on the calculation of carbon emissions in S2 and the basic information of the project in S1, and combined with actual needs, through multi-dimensional analysis, evaluates the implementation cost and energy-saving effect of different carbon reduction measures, generates a carbon reduction benefit report, and recommends the most appropriate carbon reduction measures; S5: Cost Optimization and Recommendations This step analyzes the impact of different carbon reduction measures on the total cost of the project based on the data provided by the carbon emission calculation module and the carbon reduction benefit assessment module, and generates optimization suggestions. S6: Dynamic monitoring and risk warning This step tracks the project's carbon emissions and cost data in real time. When the carbon emissions or costs of a certain link exceed the preset threshold, an early warning is automatically triggered to remind project managers to take adjustment measures.

2. A construction project cost control method considering carbon reduction effects according to claim 1, characterized in that: The carbon emission calculation process for each stage includes the following steps: First, at every stage of the construction process, the system collects data on material usage, equipment operation, energy consumption, and transportation in real time; Then, based on the above collected data and in conjunction with the carbon emission calculation formula, the carbon emissions generated by the project at each stage are calculated.

3. A method for cost control of construction projects considering carbon reduction effects according to claim 1, characterized in that: Dynamic adjustment of carbon emission calculation The following steps are involved: First, the system monitors various data of the construction site in real time and collects them into the system in real time; Then, when new data is entered or updated in real time, the system will automatically recalculate the project's carbon emissions based on the carbon emissions calculation formula.

4. A construction project cost control method considering carbon reduction effect according to claim 1, characterized in that: The determination of carbon reduction measures is based on the project’s carbon emission sources and cost structure.

5. A method for cost control of construction projects considering carbon reduction effects according to claim 1, characterized in that: The assessment process for carbon reduction measures includes the following steps: The system collects implementation data of each optional carbon reduction measure and the actual operation data of the project; The system compares and analyzes the carbon reduction benefits, economic efficiency, investment payback period, and technical maturity and feasibility of all carbon reduction options, and obtains a comprehensive score for each option; Assign a comprehensive score to each carbon reduction measure through a multi-objective optimization model, and select the most appropriate measure based on the score; Recommend the best carbon reduction options, giving priority to measures with the highest cost-effectiveness and the best carbon reduction effect; Based on project implementation progress and on-site data, the system regularly provides feedback and adjustments on the effectiveness of carbon reduction measures.

6. A construction project cost control method considering carbon reduction effects according to claim 1, characterized in that: Cost optimization in S5 includes the following steps: The system obtains all relevant data from the aforementioned S3 and S4; The system conducts a comprehensive evaluation of different carbon reduction measures through weighted average or multi-objective optimization models to compare their cost-effectiveness; The system also needs to compare the carbon emission costs and benefits of different carbon reduction measures; Based on the cost and carbon emission cost-effectiveness analyzed above, combined with the actual needs and budget of the project, priority is given to recommending cost-effective carbon reduction measures; Re-evaluate the cost-effectiveness of carbon reduction measures based on changes in real-time data and make new optimization recommendations.

7. A method for cost control of construction projects considering carbon reduction effects according to claim 1, characterized in that: Dynamic monitoring and early warning combines project progress and actual data to automatically generate real-time monitoring reports for the project, showing carbon emission trends and cost expenditures at each stage, and supporting interactive viewing of data for different time periods.

8. A construction project cost control method considering carbon reduction effects according to claim 1, characterized in that: The cost control method also includes the summary and evaluation of the project completion stage. After the project is completed, the system automatically summarizes the carbon emission data and cost data of the entire project, and generates a carbon reduction benefit report and cost analysis report.

9. A method for cost control of construction projects considering carbon reduction effects according to claim 1, characterized in that: The cost control method of construction projects that takes carbon reduction effects into consideration can also display carbon emissions and costs through data visualization technology.

10. A construction project cost control system considering carbon reduction effects, characterized in that: include: A project cost management module, which is used to record and manage various cost information of construction projects and generate cost analysis reports; A model building module, which interacts with the project cost management module data, automatically builds a cost budget model and a carbon emission model for the project based on the data input by the project cost management module. The system automatically calculates the preliminary carbon emissions and budget costs based on these data, and generates a preliminary project cost report and a carbon emission report; A carbon emission calculation and dynamic tracking module, which is used to calculate the carbon emissions generated by the project at each stage through a carbon emission formula based on relevant data collected in real time, and the calculation of carbon emissions is dynamically adjusted as the actual data is updated; A carbon reduction benefit evaluation module, which interacts with the project cost management module and the carbon emission calculation and dynamic tracking module. Based on the project cost information and carbon emission calculation, and combined with actual needs, it evaluates the economic efficiency, carbon emission reduction effect, energy-saving benefits, etc. of different carbon reduction measures through multi-dimensional analysis, and generates a carbon reduction benefit report; Cost optimization module, which interacts with the carbon emission calculation and dynamic tracking module and the carbon reduction benefit evaluation module. It analyzes the impact of different carbon reduction measures on the total cost of the project based on the data of the carbon emission calculation and carbon reduction benefit evaluation modules, and generates optimization suggestions; The dynamic monitoring and early warning module interacts with the dynamic tracking module data to track the carbon emissions and cost data of the project in real time. When the carbon emissions or costs of a certain link exceed a predetermined threshold, an early warning is automatically triggered to remind the project manager to take adjustment measures.

Images