Environment design life cycle management method and system

Abstract

The invention relates to the technical field of environment design, and provides an environment design life cycle management method and system.The method comprises the steps that based on an input environment design scheme, special process requirements of components in the environment design scheme are recognized; generating description information according to special process requirements; according to the description information, matching construction supplier capability information of the project location to obtain qualified suppliers; counting the number of qualified suppliers, and evaluating the construction resource supply scarcity required by the special process according to a comparison result of the total number of the qualified suppliers and a preset threshold value; according to the construction resource supply scarcity, calculating a resource premium coefficient required by the special process; and according to the resource premium coefficient, building cost estimation corresponding to the special process requirement is adjusted, and the adjusted building cost estimation is output, so that environmental design life cycle management is realized. The environment design life cycle management method has the effect of improving the accuracy of environment design life cycle management.

Description

Technical Field

[0001] This invention relates to the technical field of environmental design, and specifically to an environmental design lifecycle management method and system. Background Technology

[0002] In the design and construction of modern building projects, a management approach is used to effectively link various technical parameters in environmental design with their construction costs throughout the project's lifecycle. Its core objective is to control and reduce total costs and improve the building's environmental performance through optimized design decisions. This approach typically requires the design team to conduct in-depth analysis and precise selection of key design parameters early in the project's development.

[0003] In the design of a large commercial complex, existing environmental design lifecycle management methods merely establish a direct and isolated correspondence between design parameters and construction costs based on static information. This method cannot comprehensively and accurately reflect the complexity of cost composition in the real world. The system does not consider that the installation of new types of siding requires a specialized scaffolding system and special fasteners, and demands a high level of skill from construction workers. In the project area, the number of professional teams capable of meeting these construction requirements is limited, resulting in contractors adding a considerable "scarcity of technology" premium to their quotes. This cost, closely related to specific construction techniques, equipment availability, and labor market conditions, is difficult to cover with traditional cost datasets. The design scheme may appear economical and reasonable on paper, but in actual construction, it may become costly due to constraints imposed by construction conditions.

[0004] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0005] This application discloses an environmental design lifecycle management method and system, which aims to solve the problems that existing environmental design lifecycle management methods cannot accurately assess the scarcity of construction resources for special process requirements when facing complex and ever-changing construction environments and supply chain conditions, resulting in inaccurate construction cost estimation, and lack of an effective alternative recommendation mechanism when costs exceed limits.

[0006] The technical solution of this application is as follows: In a first aspect, this application discloses an environmental design lifecycle management method, comprising: Based on the input environmental design scheme, identify the special process requirements of the components in the environmental design scheme; Generate descriptive information corresponding to specific process requirements based on those requirements; Based on the description information, match the construction supplier capability information of the project location to obtain qualified suppliers that meet the special process requirements; The number of qualified suppliers is counted and recorded as the total number of qualified suppliers. Based on the comparison between the total number of qualified suppliers and a preset threshold, the scarcity of construction resources for special process requirements is assessed. Calculate the resource premium coefficient for special process requirements based on the scarcity of construction resources. Based on the resource premium coefficient, adjust the construction cost estimate corresponding to special process requirements and output the adjusted construction cost estimate to achieve environmental design lifecycle management.

[0007] Through this technical solution, this application can effectively identify special process requirements in environmental design schemes and dynamically adjust construction cost estimates based on the scarcity of construction resources, thereby solving the problem of inaccurate cost estimation in existing technologies and providing a more precise cost control method for environmental design lifecycle management.

[0008] Furthermore, in some preferred embodiments, the step of assessing the scarcity of construction resources for special process requirements includes: Based on specific process requirements, identify the external processes necessary to fulfill those requirements. For external processes, create a process scheduling and dependency diagram; Query the real-time scheduling information of the third-party organization corresponding to the external process; Based on the process scheduling and dependency diagram and real-time scheduling information, assess the delays caused by external processes to the overall project duration of the environmental design scheme. Quantify delays into financial costs; Based on financial costs, adjust the construction cost estimates corresponding to special process requirements, and assess the scarcity of construction resources for special process requirements based on the adjusted construction cost estimates.

[0009] Through this technical solution, this application can quantify the delays in external processes into financial costs and incorporate them into construction cost estimates, thereby more comprehensively assessing the scarcity of construction resources and improving the accuracy of cost estimates.

[0010] Based on this, this application further proposes that the steps for calculating the resource premium coefficient for special process requirements, based on the scarcity of construction resources, include: Check the performance records, quality evaluations, credit ratings, and historical project performance data of qualified suppliers; Calculate the supplier risk coefficient for qualified suppliers based on performance records, quality evaluations, credit ratings, and historical project performance data. Calculate the resource premium coefficient for special process requirements based on the supplier risk coefficient and the scarcity of construction resources.

[0011] Through this technical solution, the application can comprehensively consider supplier risks and the scarcity of construction resources, and more accurately calculate the resource premium coefficient, making cost estimation more refined and reasonable.

[0012] In some preferred embodiments, when the adjusted construction cost estimate exceeds a preset cost ceiling, the step of adjusting the construction cost estimate corresponding to special process requirements based on the resource premium coefficient includes: Inquire about the reason for the premium, and activate the alternative solution recommendation process based on the reason for the premium; Based on the reasons for the premium, analyze the technical characteristics of the special process requirements that lead to the premium; Based on technical characteristics, search the alternative solution knowledge base to obtain alternative design solutions or construction techniques; Simulate the impact of alternative design schemes or construction techniques on construction costs, construction period, and performance indicators; Output comparative information on the original environmental design scheme and the alternative design scheme in terms of cost, schedule and performance indicators, and adjust the construction cost estimate corresponding to special process requirements based on the comparative information.

[0013] Through this technical solution, this application can proactively activate the alternative solution recommendation process when costs exceed limits, and provide detailed comparative information, thereby providing effective decision support for the design team and avoiding a passive situation caused by cost exceeding limits.

[0014] Furthermore, based on the reasons for the premium, the steps to analyze the technical characteristics of the specific process requirements that lead to the premium include: Based on the reasons for the premium, the geometric information, material properties and connection node characteristics of the components corresponding to the special process requirements that lead to the premium are identified, and the material property parameters of the components are obtained. Obtain environmental parameters for the project site where the environmental design scheme is located; Calculate the structural stress of the component based on material properties and environmental parameters; Based on structural stress, deduce the compensation mechanism required for the component; Based on the technical description of the compensation agency, analyze the regulatory requirements triggered by the compensation agency; Establish a certification process for compensation agencies in accordance with regulatory requirements; Query the historical behavior data of qualified suppliers; Based on the certification process and historical behavioral data, assess the risk propensity of qualified suppliers. The risks corresponding to structural stress, the risks corresponding to regulatory requirements, and the risk propensity are mapped onto the components to obtain the mapping results; Based on the mapping results, a risk heatmap is generated; Generate a risk chain report based on the risk heatmap.

[0015] Through this technical solution, this application is able to deeply analyze the technical characteristics of the special process requirements that lead to the premium, and combine structural stress, regulatory requirements and supplier risk propensity to generate risk heat maps and risk chain reports, thereby providing a more comprehensive technical basis for recommending alternative solutions.

[0016] Based on the above, this application further proposes that the steps for inferring the required compensation mechanism for a component based on structural stress include: The components are divided into meshes to obtain several regions; Based on the structural stress distribution in the region, identify the local stress concentration areas of the component; Based on the stress type and concentration degree of the local stress concentration area, determine the local compensation mechanism required for the local stress concentration area; Based on the overall stress distribution in the nonlocal stress concentration area, determine the overall compensation mechanism required for the nonlocal stress concentration area; Integrate local compensation mechanisms and overall compensation mechanisms, continuously confirm that there are no conflicts between the local compensation mechanisms and overall compensation mechanisms, and ensure that they work together.

[0017] Through this technical solution, this application can accurately deduce the required local and overall compensation mechanisms based on the stress distribution of the components, and ensure their coordinated operation, thereby improving the rationality and effectiveness of the compensation mechanism design.

[0018] As a technological improvement, the steps for integrating local compensation mechanisms and overall compensation mechanisms include: Identify the material composition, construction process, and maintenance cycle of partial and overall compensation mechanisms; The compatibility assessment results are obtained by evaluating whether there are material compatibility issues, construction conflicts, or maintenance overlaps between the local compensation mechanism and the overall compensation mechanism. When the compatibility assessment results indicate incompatibility, alternative materials or adjustments to the construction procedures are recommended. Calculate the impact of alternative materials or adjusted construction procedures on the structural strength, durability, and operating costs of components; Based on the impact information, the local compensation mechanism and the overall compensation mechanism are integrated to obtain the integrated supplementary mechanism; Generate a lifecycle maintenance plan for the integrated supplementary mechanism.

[0019] Through its technical solution, this application can comprehensively assess the compatibility of local and overall compensation mechanisms, recommend alternative solutions when incompatible, and generate a lifecycle maintenance plan, thereby ensuring the long-term stability and economy of the integrated compensation mechanism.

[0020] To improve the solution, the steps for generating a lifecycle maintenance plan for the integrated supplementary mechanism include: Identify the component's operating environment parameters, strength data, and historical event records; The real-time performance degradation rate of the component is calculated based on operating environment parameters, usage intensity data, and historical event records. The remaining effective lifespan of the component is calculated based on the real-time performance degradation rate and the current health status of the component. Based on the remaining effective lifespan, dynamically adjust the maintenance tasks, maintenance cycles, and maintenance resource allocation in the lifecycle maintenance plan corresponding to the integrated supplementary mechanism; Output the adjusted lifecycle maintenance plan.

[0021] Through this technical solution, this application can dynamically adjust the life cycle maintenance plan based on the real-time performance degradation rate and remaining effective life of the component, thereby achieving predictive maintenance, extending the service life of the component, and reducing operating costs.

[0022] As a functional enhancement, the steps for identifying the component's operating environment parameters, usage strength data, and historical event records include: Based on pre-deployed sensors of various types, the system collects the component's operating environment parameters, usage intensity data, and historical event records. Edge computing technology is used to process operating environment parameters, usage intensity data, and historical event records; By combining the component's location information, the operating environment parameters, usage intensity data, and historical event records processed by edge computing are spatially mapped. Using an IoT platform, transmit the operating environment parameters, usage intensity data, and historical event records after spatial mapping; By combining geographic information system and environmental monitoring data, the macro-environmental parameters of the area where the component is located are identified; When it is detected that the transmitted spatially mapped operating environment parameters, usage intensity data, and historical event records are missing, data interpolation is performed based on the component's location and macroscopic environment parameters.

[0023] Through its technical solution, this application can acquire comprehensive and accurate component operation data by using technologies such as multi-source data acquisition, edge computing, and spatial mapping, and perform interpolation when data is missing, thereby providing a reliable data foundation for the dynamic adjustment of the life cycle maintenance plan.

[0024] Secondly, this application also discloses an environmental design lifecycle management system for performing environmental design lifecycle management, including: The process requirement identification module is used to identify the special process requirements of components in the environmental design scheme based on the input environmental design scheme. The description information generation module is used to generate description information corresponding to special process requirements based on specific process requirements. The capability information matching module is used to match the capability information of construction suppliers in the project location with the description information to obtain qualified suppliers that meet the special process requirements. The supply scarcity assessment module is used to count the number of qualified suppliers, record it as the total number of qualified suppliers, and assess the scarcity of construction resources for special process requirements based on the comparison results between the total number of qualified suppliers and a preset threshold. The premium coefficient calculation module is used to calculate the resource premium coefficient for special process requirements based on the scarcity of construction resource supply. The construction cost estimation module is used to adjust the construction cost estimation corresponding to special process requirements based on the resource premium coefficient, and output the adjusted construction cost estimation to realize environmental design lifecycle management.

[0025] Through its technical solutions, this application provides a system-level solution that, through modular design, automates and intelligentizes the environmental design lifecycle management method, thereby improving management efficiency and accuracy.

[0026] Beneficial effects This application provides an environmental design lifecycle management method. It identifies the specific technological requirements of components in an environmental design scheme, generates descriptive information based on these requirements, and then matches this information with the capabilities of construction suppliers to obtain qualified suppliers. Furthermore, this application can count the number of qualified suppliers and assess the scarcity of construction resources by combining this with a preset threshold. This scarcity assessment result is used to calculate a resource premium coefficient, ultimately adjusting the construction cost estimate corresponding to the specific technological requirements. This method overcomes the problem in existing technologies that rely solely on static information for cost estimation, failing to accurately reflect the complexity of cost structures in the real world. By introducing the scarcity of construction resources and a resource premium coefficient, this application can dynamically and accurately adjust construction cost estimates, effectively solving the problem of inaccurate cost estimations caused by factors such as construction conditions, equipment availability, and labor market conditions. This avoids the risk of high costs in the actual construction phase due to construction constraints, achieving more precise environmental design lifecycle management. Attached Figure Description

[0027] Figure 1 This is a flowchart of an environmental design lifecycle management method according to one embodiment of the present invention; Figure 2 This is one of the flowcharts of an environmental design lifecycle management method according to another embodiment of the present invention; Figure 3 This is a second flowchart of an environmental design lifecycle management method according to another embodiment of the present invention; Figure 4 This is a system block diagram of an environmental design lifecycle management system according to another embodiment of the present invention; Explanation of reference numerals in the attached figures: 1. Environmental Design Lifecycle Management System; 11. Process Requirements Identification Module; 12. Description Information Generation Module; 13. Capacity Information Matching Module; 14. Supply Scarcity Assessment Module; 15. Premium Coefficient Calculation Module; 16. Construction Cost Estimation Module. Detailed Implementation

[0028] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0029] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0030] Traditional environmental design lifecycle management methods often establish only a direct and isolated correspondence between design parameters and construction costs based on static information when dealing with environmental design schemes. This approach cannot comprehensively and accurately reflect the complexity of cost composition in the real world, especially when facing special process requirements. It cannot effectively assess the scarcity of construction resources, resulting in inaccurate construction cost estimates, and may even cause project delays or cost overruns due to supply chain or construction condition constraints.

[0031] In response, this application proposes an environmental design lifecycle management method, combining... Figure 1 As shown, it includes: S1, based on the input environmental design scheme, identify the special process requirements of the components in the environmental design scheme; S2, Generate description information corresponding to special process requirements based on special process requirements; S3. Based on the description information, match the construction supplier capability information of the project location to obtain qualified suppliers that meet the special process requirements. S4. Count the number of qualified suppliers and record it as the total number of qualified suppliers. Based on the comparison between the total number of qualified suppliers and the preset threshold, assess the scarcity of construction resources for special process requirements. S5, Calculate the resource premium coefficient for special process requirements based on the scarcity of construction resources; S6 adjusts the construction cost estimate corresponding to special process requirements based on the resource premium coefficient, and outputs the adjusted construction cost estimate to achieve environmental design lifecycle management.

[0032] To better understand the environmental design lifecycle management approach proposed in this application, it is necessary to explain some key terms involved. "Environmental design scheme" refers to a comprehensive design plan developed in an architectural or landscape project to achieve specific environmental goals (such as energy conservation, environmental protection, and aesthetics). It typically includes design details, material selection, and construction requirements for various components (such as walls, roofs, and landscape features). "Special process requirements" refer to the need for non-standard, highly specialized, or scarce construction techniques, equipment, or materials in the construction or installation of certain components within the environmental design scheme. Examples include customized irregular structures, high-precision assembly processes, and the processing of specific environmentally friendly materials. "Descriptive information" refers to a standardized and structured data set describing special process requirements, which may include process type, required equipment, material specifications, technical parameters, and construction difficulty, to facilitate subsequent matching and evaluation. "Construction supplier capability information" refers to comprehensive data regarding the qualifications, technical capabilities, project experience, equipment ownership, personnel allocation, and performance records of potential construction suppliers. "Preset threshold" refers to a reference value set in advance when assessing the scarcity of construction resource supply to determine whether the number of qualified suppliers is sufficient. "Resource premium coefficient" refers to a multiplier factor used in construction cost estimation to reflect the additional cost increase caused by resource scarcity due to special process requirements.

[0033] The core of the environmental design lifecycle management method proposed in this application lies in the refined management and cost assessment of the special process requirements of components in the environmental design scheme.

[0034] Specifically, firstly, based on the input environmental design scheme, the system identifies the special technological requirements of the components within that scheme. For example, when processing an environmental design scheme involving numerous customized glass curtain walls, the system can automatically identify irregular cuts, high-altitude installations, and special sealing treatments as special technological requirements. This identification process can employ a rule-based expert system, pre-setting a series of keywords or design parameters that trigger special technological requirements. When these keywords or parameters appear in the design scheme, the system marks them as special technological requirements. Alternatively, a machine learning model can be used to train historical design schemes and construction data, enabling it to autonomously learn and identify new patterns of special technological requirements.

[0035] Secondly, based on specific process requirements, corresponding descriptive information is generated. For example, for the installation requirements of the aforementioned irregularly shaped glass curtain wall, descriptive information such as "high-altitude installation of irregularly shaped glass curtain wall," "requires specialized hoisting equipment," "requires personnel with high-altitude operation qualifications," and "requires special sealing materials" can be generated. The generation of descriptive information can employ Natural Language Processing (NLP) technology to extract and structure key information from design documents, or it can guide users to input detailed process requirements through predefined templates.

[0036] Secondly, based on the description information, the system matches the capabilities of construction suppliers in the project location to identify qualified suppliers that meet the specific technological requirements. For example, based on the description "high-altitude installation of irregularly shaped glass curtain walls," the system filters the supplier database for construction companies with high-altitude operation qualifications, specialized hoisting equipment, and experience in similar projects. The matching process can be based on keyword matching, semantic similarity analysis, or supplier qualification certification information.

[0037] Then, the number of qualified suppliers is counted and recorded as the total number of qualified suppliers. Based on the comparison between the total number of qualified suppliers and a preset threshold, the scarcity of construction resources for special process requirements is assessed. For example, if the preset threshold is 5 suppliers, but the system only matches 3 qualified suppliers, the scarcity of construction resources for that special process requirement is considered high. The total number of qualified suppliers is counted directly, while the comparison with the preset threshold can use a simple numerical comparison. For example, when the total number of qualified suppliers is less than the preset threshold, the scarcity level is increased.

[0038] Next, based on the scarcity of construction resources, the resource premium coefficient for special process requirements is calculated. For example, if the scarcity assessment result is "high," the resource premium coefficient might be set to 1.2; if it is "medium," it would be 1.1; and if it is "low," it would be 1.0. The resource premium coefficient can be calculated based on a preset mapping table between scarcity levels and coefficients, or dynamically using a more complex economic model that considers factors such as market supply and demand and historical premium data.

[0039] Finally, based on the resource premium coefficient, the construction cost estimate corresponding to the special process requirements is adjusted, and the adjusted construction cost estimate is output to achieve environmental design lifecycle management. For example, if the initial construction cost estimate for a special process is 1 million yuan and the resource premium coefficient is 1.2, then the adjusted construction cost estimate is 1.2 million yuan. The adjustment process involves directly multiplying the initial cost estimate by the resource premium coefficient and finally outputting this adjusted value for project decision-makers to reference.

[0040] Optional, combined Figure 2 As shown, the steps in S4 for assessing the scarcity of construction resources for special process requirements include: S41, based on specific process requirements, identify the external processes necessary to fulfill those specific process requirements; S42, For external processes, create a process scheduling and dependency diagram; S43, query the real-time scheduling information of the third-party organization corresponding to the external process; S44, based on the process scheduling and dependency diagram and real-time scheduling information, assess the delays caused by external processes to the total duration of the environmental design scheme; S45 quantifies delays into financial costs; S46. Adjust the construction cost estimate corresponding to special process requirements based on financial costs, and assess the scarcity of construction resource supply for special process requirements based on the adjusted construction cost estimate.

[0041] Specifically, external processes can be understood as external links necessary to complete specific technological requirements but not directly controlled by the project contractor, such as government approvals, customized production of special materials, import customs clearance of specialized equipment, and third-party testing or certification for specific qualifications. The purpose is to comprehensively identify key external factors affecting the completion of special processes. A process scheduling and dependency diagram can be understood as a visualization tool used to clearly show the sequence, parallel relationships, critical paths, and interdependencies of various external processes. The diagram aims to clarify the potential impact paths of external processes on the overall project schedule. In practice, real-time scheduling information can be obtained through data interfaces with third-party institutions, regular communication, or through publicly available information platforms. The goal is to obtain the most accurate and up-to-date external process progress data for dynamic evaluation. Specifically, the assessment of delays is based on the process scheduling and dependency diagram, combined with real-time scheduling information, and determined by simulating or calculating time deviations on the critical path. For example, if the actual completion time of a key external approval process is later than the planned time, this delay will be included in the overall project duration delay. Quantifying delays into financial costs involves calculating the additional expenses incurred due to project delays, such as increased project management fees, extended equipment rental costs, penalties, and lost market opportunity costs. The aim is to transform indirect impacts on project timelines into quantifiable economic indicators. Furthermore, adjusting construction cost estimates means incorporating these quantified financial costs into the original estimates, resulting in a more comprehensive cost estimate that reflects the actual situation. Based on this adjusted cost estimate, the scarcity of construction resources for specific technological requirements can be reassessed, leading to a more accurate assessment of scarcity.

[0042] In some preferred embodiments, suppose an environmental design scheme includes a special glass curtain wall installation process that requires the use of imported, extra-large, irregularly shaped glass. When assessing the scarcity of construction resources required for this special process, in addition to considering the number of qualified domestic installation suppliers, the scheme of this application further identifies the external processes necessary to complete the process, such as the international procurement process for the irregularly shaped glass, customs clearance procedures, and domestic special transportation permit approval processes. For these external processes, the system establishes a detailed process schedule and dependency diagram, clearly defining the sequence and estimated time of procurement, customs clearance, and transportation approval. Subsequently, the system queries the production schedule of international glass manufacturers, the average customs clearance time, and the real-time approval progress of transportation management departments. If the query results show that due to international supply chain constraints or customs policy adjustments, the production or customs clearance of the irregularly shaped glass is expected to be delayed by 30 days, and this delay is on the critical path, the system will assess the impact of this 30-day delay on the overall project duration of the environmental design scheme. Furthermore, this 30-day delay will be quantified into financial costs, such as additional salaries for on-site project management personnel, increased equipment rental costs, and potential penalties for breach of contract. Assuming the quantified financial cost is 500,000 yuan, this 500,000 yuan will be included in the construction cost estimate corresponding to this specific process requirement. Ultimately, based on this adjusted construction cost estimate, the system will reassess the scarcity of construction resources for this specific glass curtain wall installation process. In this way, even if there are sufficient qualified suppliers, if there are significant delays and cost risks in the external process, the system can accurately reflect the actual scarcity of resources for this specific process, thus providing more comprehensive information for project decisions, such as considering whether to procure in advance, find alternative materials, or adjust the design to mitigate risks.

[0043] Optionally, the steps for calculating the resource premium coefficient for special process requirements based on the scarcity of construction resources include: Check the performance records, quality evaluations, credit ratings, and historical project performance data of the above-mentioned qualified suppliers; Based on the aforementioned performance records, quality evaluations, credit ratings, and historical project performance data, the supplier risk coefficient of the aforementioned qualified suppliers is calculated. Based on the aforementioned supplier risk coefficients and the scarcity of construction resources, the resource premium coefficients for the aforementioned special process requirements are calculated.

[0044] Specifically, querying the performance records, quality evaluations, credit ratings, and historical project performance data of the aforementioned qualified suppliers refers to collecting and integrating historical data from qualified suppliers who meet specific process requirements through various channels and methods. Performance records can include the supplier's on-time delivery, contract fulfillment, and change response speed in past projects; quality evaluations can involve the supplier's product or service quality pass rate, rework rate, and customer satisfaction; credit ratings are typically assessed by third-party institutions or industry associations based on the supplier's financial status, legal compliance, and market reputation; and historical project performance data can cover the supplier's cost control capabilities, technical problem-solving capabilities, and safety production records in similar projects. This data can be obtained through supplier management systems, industry databases, public reports, project feedback, and third-party credit reporting agencies.

[0045] Furthermore, based on the aforementioned performance records, quality evaluations, credit ratings, and historical project performance data, a supplier risk coefficient is calculated for the qualified suppliers. This supplier risk coefficient aims to quantify the potential risks that the supplier may pose in future projects. Specifically, it can be calculated using various methods such as weighted average, expert scoring, analytic hierarchy process (AHP), or machine learning models. For example, different weights can be assigned to performance records, quality evaluations, credit ratings, and historical project performance data, and then the scores of each indicator can be weighted and summed to obtain a comprehensive supplier risk coefficient. The higher the value of this coefficient, the greater the supplier's risk.

[0046] Based on this, and taking into account the aforementioned supplier risk coefficients and the scarcity of construction resources, the resource premium coefficients for the specific technological requirements are calculated. This means that the calculation of the resource premium coefficients no longer relies solely on market supply and demand, but comprehensively considers the supplier's own risk factors. For example, a multiplicative or additive model can be used to combine the supplier risk coefficients with the preliminary premium coefficients obtained based on supply scarcity. When the supplier risk coefficient is high, even if the resource supply is not so scarce, a higher premium may be needed to cover potential risk costs; conversely, if the supplier risk is low, the premium can be appropriately reduced, thus obtaining a more accurate and comprehensive resource premium coefficient.

[0047] Optional, combined Figure 3 As shown, when the adjusted construction cost estimate exceeds the preset cost ceiling, the step in S6 to adjust the construction cost estimate corresponding to special process requirements based on the resource premium coefficient specifically includes: S61, query the reason for the premium, and activate the alternative solution recommendation process based on the reason for the premium; S62, Based on the reasons for the premium, analyze the technical characteristics of the special process requirements that lead to the premium; S63, based on technical characteristics, query the alternative solution knowledge base to obtain alternative design solutions or construction processes; S64, Simulate the impact of alternative design options or construction techniques on construction costs, schedule, and performance indicators; S65 outputs comparative information on the cost, schedule, and performance indicators of the original environmental design scheme and the alternative design scheme, and adjusts the construction cost estimate corresponding to special process requirements based on the comparative information.

[0048] Specifically, when the adjusted construction cost estimate exceeds the preset cost ceiling, the system first executes the "Query the reason for the premium" step. The reason for the premium can be understood as the specific factors that caused the construction cost to exceed the preset ceiling, such as a surge in the price of specific materials, excessively difficult special construction processes leading to increased labor costs, or high rental costs for specific equipment. Its purpose is to accurately pinpoint the root cause of the cost overrun. Based on the queried reason for the premium, the system will "Activate the alternative solution recommendation process," which means initiating a mechanism specifically for finding and evaluating alternative solutions to address the economic infeasibility of the current design.

[0049] Furthermore, after the alternative recommendation process is activated, the system will "analyze the technical characteristics of the specific process requirements leading to the premium based on the reasons for the premium." Specifically, this step aims to deeply analyze the key technical attributes and requirements contained in the specific process requirements that lead to the cost premium. For example, if the premium is due to the excessively high cost of a certain type of glass curtain wall, its technical characteristics may include specific light transmittance, thermal insulation performance, wind pressure resistance rating, size limitations, or unique curved surface shapes. Through precise analysis of these technical characteristics, it can be ensured that the subsequently recommended alternatives can meet or nearly meet the functional and performance requirements of the original design.

[0050] Based on this, the system will "search the alternative solution knowledge base based on technical characteristics to obtain alternative design solutions or construction techniques." The alternative solution knowledge base is a pre-built database storing a large number of alternative materials, components, design methods, or construction techniques. These alternatives can achieve similar functional or aesthetic effects to the original specific process requirements, but may have lower costs, shorter construction periods, or be easier to implement. For example, for the aforementioned special glass curtain wall, the knowledge base may recommend using high-performance composite materials, modular prefabricated components, or different installation techniques.

[0051] The system will then simulate the acquired alternative design options or construction techniques to assess their impact on construction costs, timelines, and performance metrics. This simulation process can utilize computer-aided design (CAD), building information modeling (BIM), or specialized simulation software, aiming to quantify the specific changes in economics, time efficiency, and technical performance of the alternatives. For example, simulation results might show that using alternative materials could reduce construction costs by 10%, but could extend the construction period by 5 days, while slightly reducing certain performance metrics.

[0052] Ultimately, the system will output comparative information on the original environmental design scheme and the alternative design scheme in terms of cost, schedule, and performance indicators. This comparative information is presented in a clear and intuitive way, allowing the project team and decision-makers to fully understand the advantages and disadvantages of different schemes. Based on this comparative information, the project team can make informed decisions, select the alternative scheme that best meets the overall project goals and budget constraints, and adjust the construction cost estimates corresponding to special process requirements accordingly.

[0053] In some preferred embodiments, suppose an environmental design project requires the construction of a concert hall with special acoustic effects, where the special process requirements of the acoustic wall panels cause the estimated construction cost to exceed the preset cost ceiling even after adjusting for resource premium factors.

[0054] At this point, the system will first investigate the reasons for the premium, identifying that the high cost mainly stems from the scarcity of imported acoustic materials and the complexity of customized installation processes. Based on these reasons, the system will activate the alternative solution recommendation process.

[0055] Next, the system analyzes the technical characteristics of the special process requirements that lead to the premium, namely the specific sound absorption coefficient, diffusion performance, fire resistance rating, and aesthetic appearance requirements of the acoustic wall panel.

[0056] Based on these technical characteristics, the system queries the alternative solution knowledge base and obtains several alternative design solutions or construction processes, such as: a design solution that uses domestically produced high-performance sound-absorbing panels combined with an optimized cavity structure, or a construction process that uses modular prefabricated acoustic units.

[0057] The system then simulated these alternative solutions. The simulation results showed that the domestically produced panel solution could reduce construction costs by 18% and shorten the construction period by 5%, but the sound absorption coefficient would decrease slightly; the modular prefabrication solution could reduce construction costs by 15% and shorten the construction period by 8%, with performance indicators close to the original solution.

[0058] Ultimately, the system outputs a report containing this comparative information. Based on the comparative information, the project team weighed costs, timelines, and performance, and decided to adopt the construction process of modular prefabricated acoustic units. Accordingly, they adjusted the construction cost estimates corresponding to the special process requirements, bringing the total project cost back within the preset upper limit.

[0059] Optionally, based on the reasons for the premium, the steps to analyze the technical characteristics of the specific process requirements that lead to the premium include: Based on the reasons for the premium, the geometric information, material properties and connection node characteristics of the components corresponding to the special process requirements that lead to the premium are identified, and the material property parameters of the components are obtained. Obtain environmental parameters for the project site where the environmental design scheme is located; Calculate the structural stress of the component based on material properties and environmental parameters; Based on structural stress, deduce the compensation mechanism required for the component; Based on the technical description of the compensation agency, analyze the regulatory requirements triggered by the compensation agency; Establish a certification process for compensation agencies in accordance with regulatory requirements; Query the historical behavior data of qualified suppliers; Based on the certification process and historical behavioral data, assess the risk propensity of qualified suppliers. The risks corresponding to structural stress, the risks corresponding to regulatory requirements, and the risk propensity are mapped onto the components to obtain the mapping results; Based on the mapping results, a risk heatmap is generated; Generate a risk chain report based on the risk heatmap.

[0060] Specifically, when the system identifies a specific technological requirement that leads to a construction cost premium, it will conduct a detailed analysis of the components involved in that requirement. This analysis includes extracting the component's geometric information, such as its dimensions, shape, and topology; identifying the component's material properties, such as strength, toughness, corrosion resistance, and thermal conductivity; and analyzing the characteristics of the component's connection nodes, such as welding, bolting, and gluing methods and their specific construction. Through the comprehensive identification of this information, the material property parameters of the component can be obtained. These parameters form the basis for subsequent structural stress calculations and risk assessments. Environmental parameters refer to the unique natural environmental conditions of the project site, such as temperature, humidity, wind speed, solar radiation intensity, rainfall, soil type, and seismic intensity. These parameters are crucial for evaluating the component's performance and durability, as different environmental conditions have varying impacts on the component's material properties and structural stability. These environmental parameters can be obtained through geographic information systems, environmental monitoring station data, or on-site surveys. In practical applications, after obtaining the component's material property parameters and the environmental parameters of the project site, finite element analysis or other structural mechanics simulation tools can be used to simulate and calculate the stress on the component under specific environmental conditions. This calculation aims to determine the stress distribution and stress concentration areas of a component under various loads (such as self-weight, wind load, snow load, seismic load, thermal stress, etc.) in order to assess its structural safety and stability.

[0061] Furthermore, based on the calculated structural stress of the components, especially the identified high-stress areas or potential failure modes, the compensation mechanisms required to ensure the long-term stability and safety of the components can be inferred. Compensation mechanisms can be understood as design or construction measures designed to enhance the structural performance of components, extend their service life, or address specific risks. Examples include adding supporting structures, using stronger materials, installing damping devices, performing surface strengthening treatments, or optimizing connection node design. Therefore, for the inferred compensation mechanisms, their technical descriptions need to be analyzed in depth to identify the relevant regulatory requirements they may trigger. These regulatory requirements may include building codes, safety standards, environmental regulations, material certification standards, and construction permit requirements. For example, the use of certain special materials may require specific fire resistance rating certifications, or certain structural reinforcement schemes may require compliance with specific seismic design codes. Based on this, a complete certification process for the compensation mechanism can be constructed according to the analyzed regulatory requirements. This certification process aims to ensure that the design, materials, and construction of the compensation mechanism comply with all applicable laws, regulations, and industry standards, thereby reducing compliance risks. The certification process may include design review, material testing, construction process supervision, and final acceptance.

[0062] Simultaneously, to comprehensively assess risks, it is necessary to query the historical behavioral data of qualified suppliers related to this specific process requirement. This data may include past performance records, project delays, quality incidents, safety incidents, customer complaints, financial status, and performance in similar projects. This historical data provides crucial information for assessing supplier reliability and risk propensity. Furthermore, by combining the established compensation agency certification process with the retrieved historical behavioral data of qualified suppliers, the risk propensity of qualified suppliers can be assessed. For example, if a supplier has repeatedly experienced quality issues or failed to pass relevant certifications in past projects, its risk propensity will be assessed as high when performing specific processes involving that compensation agency. This assessment helps in selecting more reliable suppliers or implementing stricter risk control measures when collaborating with existing suppliers. Specifically, the structural failure risk indicated by the calculated structural stress, the compliance risk indicated by the regulatory requirements triggered by the compensation agency, and the assessed risk propensity of qualified suppliers are comprehensively mapped onto the components that result in the premium. This mapping process aims to visualize and quantify the contribution of different risk sources to the overall risk level of the components, thereby obtaining a comprehensive risk mapping result. Based on this, an intuitive risk heatmap can be generated according to the above mapping results. Risk heatmaps clearly display the risk levels and distribution across different parts of a component or across different risk dimensions using color-coded indicators or different area markers. For example, high-stress areas may be marked as high-risk, as may areas with numerous compliance issues. Ultimately, based on the generated risk heatmap, a detailed risk chain report can be produced. This report not only identifies high-risk areas but also analyzes the sources of risks, their interrelationships, potential impacts, and possible mitigation measures, providing decision-makers with comprehensive risk management insights and supporting more precise alternative recommendations and cost adjustments.

[0063] In some preferred embodiments, a specific example is given below. Suppose an environmental design scheme includes a large, irregularly shaped glass curtain wall component, the special manufacturing requirements of which cause the estimated construction cost to exceed the budget significantly.

[0064] First, based on the reasons for the premium, the system will identify the geometric information (such as curved shape and size), material properties (such as ultra-clear glass and special interlayer materials), and connection node characteristics (such as customized hidden frame connectors) of the irregularly shaped glass curtain wall component. At the same time, it will obtain the environmental parameters of the project location, such as high wind pressure, high solar radiation intensity, and large temperature difference.

[0065] Next, based on these material property parameters and environmental parameters, the structural stress of the irregular glass curtain wall component under extreme wind pressure and thermal expansion and contraction was calculated, and it was found that there was a high stress concentration in some local areas.

[0066] Based on these structural stresses, it can be inferred that the component requires a special wind pressure-resistant reinforcement structure and a thermal expansion and contraction compensation mechanism, such as the use of flexible connectors and additional support ribs.

[0067] Subsequently, the technical descriptions corresponding to these compensation agencies were analyzed to identify the regulatory requirements they might trigger, such as building structural safety codes, glass curtain wall design standards, and fire protection certifications for special materials. Based on these regulatory requirements, corresponding certification processes were constructed.

[0068] At the same time, query the historical behavioral data of potential qualified suppliers (e.g., suppliers specializing in irregular curtain wall construction), including their quality records, schedule delays, and safety incident reports in similar projects.

[0069] Based on the certification process and historical behavior data, the risk propensity of these qualified suppliers is assessed. For example, if a supplier has experienced delays in past projects due to material certification issues, its risk propensity is assessed as high.

[0070] Ultimately, the structural failure risk corresponding to structural stress, the compliance risk corresponding to regulatory requirements, and the risk propensity of suppliers are comprehensively mapped onto the irregularly shaped glass curtain wall component. The system generates a risk heatmap, clearly showing which areas of the curtain wall have high stress risk, which materials or connection methods have compliance risks, and which suppliers may pose performance risks. Based on this heatmap, a detailed risk chain report is generated, pointing out that the root cause of high costs lies not only in the irregular design and special materials, but also in the need for complex compensation mechanisms in high-stress areas. These mechanisms trigger stringent regulatory certifications, and the few suppliers that can meet the requirements have high performance risks. This report provides clear guidance for the design team, allowing them to consider adjusting the curved design of the curtain wall to reduce stress, finding alternative materials to simplify the certification process, or collaborating with lower-risk suppliers, thereby more effectively adjusting construction cost estimates and recommending better alternatives.

[0071] Optionally, the step of inferring the required compensation mechanism for a component based on structural stress includes: The components are divided into meshes to obtain several regions; Based on the structural stress distribution in the region, identify the local stress concentration areas of the component; Based on the stress type and concentration degree of the local stress concentration area, determine the local compensation mechanism required for the local stress concentration area; Based on the overall stress distribution in the nonlocal stress concentration area, determine the overall compensation mechanism required for the nonlocal stress concentration area; Integrate local compensation mechanisms and overall compensation mechanisms, continuously confirm that there are no conflicts between the local compensation mechanisms and overall compensation mechanisms, and ensure that they work together.

[0072] Specifically, meshing a component to obtain several regions involves discretizing the component to be analyzed into a series of interconnected finite element mesh elements in three-dimensional space, with each mesh element representing a local region of the component. This meshing can be performed using structural analysis software (such as finite element analysis software), with the aim of transforming the complex geometry and stress distribution of the component into discrete data that can be calculated and analyzed. The mesh density and type can be adjusted according to the complexity of the component and the required analysis accuracy.

[0073] Identifying local stress concentration areas in structural components based on regional stress distribution involves analyzing the stress values ​​within each grid region after mesh generation and stress calculation to identify specific areas where stress values ​​are significantly higher than the average level of the surrounding area. These local stress concentration areas are typically the parts of the component most prone to failure or fatigue during stress loading. Identification methods can include setting stress thresholds, gradient analysis, or visualization based on stress contour maps.

[0074] In practical applications, determining the necessary local compensation mechanism for a localized stress concentration area, based on its stress type and concentration level, refers to designing or selecting specific compensation measures to alleviate the localized stress in the identified stress concentration area, according to its specific stress characteristics (e.g., tensile stress, compressive stress, shear stress, or bending stress) and the severity of the stress concentration. For example, for areas with tensile stress concentration, adding local stiffeners, using high-strength materials for reinforcement, or optimizing the geometry to disperse the stress can be considered; for areas with shear stress concentration, shear keys or reinforced connection nodes can be used.

[0075] Furthermore, determining the overall compensation mechanism required for non-local stress concentration areas based on the overall stress distribution of these areas means that after addressing local stress concentration problems, it is also necessary to consider the overall stress condition and stability of the component from a macroscopic perspective. Non-local stress concentration areas refer to the parts of the component other than the local stress concentration areas. Overall compensation mechanisms aim to improve the overall load-bearing capacity, stiffness, or stability of the component, for example, by adjusting the overall cross-sectional dimensions of the component, changing the support method, or introducing overall prestress.

[0076] Therefore, integrating local and overall compensation mechanisms, and continuously confirming their lack of conflict and collaborative operation, refers to consolidating compensation schemes designed for both local and overall problems. During this integration process, iterative analysis and verification are necessary to ensure that local compensation measures do not negatively impact the overall structure, and vice versa. For example, the introduction of local stiffeners should not lead to new stress concentrations in adjacent areas, and the application of overall prestress should be compatible with local reinforcement measures. This process requires structural simulation, physical testing, or expert review to ensure that all compensation mechanisms function in a coordinated manner, collectively improving the performance and safety of the components.

[0077] Optionally, the steps of integrating the local compensation mechanism and the overall compensation mechanism include: Identify the material composition, construction process, and maintenance cycle of partial and overall compensation mechanisms; The compatibility assessment results are obtained by evaluating whether there are material compatibility issues, construction conflicts, or maintenance overlaps between the local compensation mechanism and the overall compensation mechanism. When the compatibility assessment results indicate incompatibility, alternative materials or adjustments to the construction procedures are recommended. Calculate the impact of alternative materials or adjusted construction procedures on the structural strength, durability, and operating costs of components; Based on the impact information, the local compensation mechanism and the overall compensation mechanism are integrated to obtain the integrated supplementary mechanism; Generate a lifecycle maintenance plan for the integrated supplementary mechanism.

[0078] Specifically, identifying the material composition, construction process, and maintenance cycle of partial and overall compensation mechanisms involves detailed data collection and analysis of the material types, physicochemical properties, recommended installation or manufacturing methods, and expected maintenance frequency and duration for each compensation mechanism. For example, information such as the alloy steel grade, welding requirements, and anti-corrosion coating type used in partial compensation mechanisms, and the lamination process, curing conditions, and periodic inspection cycles of the composite materials used in overall compensation mechanisms can be obtained.

[0079] The assessment of whether there are material compatibility issues, construction conflicts, or maintenance overlaps between local and overall compensation mechanisms yields a compatibility evaluation result. This can be understood as determining whether there are any adverse effects on each other at the physical, chemical, mechanical, construction, and maintenance levels by comparing and analyzing the identified parameters. For example, if two materials may cause electrochemical corrosion upon contact, then there is material incompatibility; if the installation of the two compensation mechanisms requires the same space or the use of mutually exclusive construction equipment, then there is a construction conflict; if their maintenance tasks highly overlap in time and resources are limited, then there is maintenance overlap.

[0080] In practical applications, when compatibility assessments indicate incompatibility, alternative materials or adjustments to construction procedures are recommended. Specifically, the system provides feasible solutions to detected incompatibility issues based on a pre-set rule base or expert knowledge base. For example, if material incompatibility is found, alternative materials with better compatibility can be recommended; if construction conflicts are found, adjustments to the construction sequence or the use of different installation techniques can be suggested.

[0081] Furthermore, the impact of alternative materials or adjusted construction procedures on the structural strength, durability, and operating costs of the components is calculated. The aim is to quantify the comprehensive impact of these adjustments on component performance and economic benefits. This can be achieved through methods such as finite element analysis, life prediction models, and cost-benefit analysis.

[0082] Therefore, based on the impact information, the local compensation mechanism and the overall compensation mechanism are integrated to obtain the integrated supplementary mechanism. The purpose is to ensure that the final integrated solution not only solves the incompatibility problem, but also achieves an optimal or acceptable balance in terms of structural strength, durability and operating costs.

[0083] Ultimately, a lifecycle maintenance plan is generated for the integrated supplementary mechanism. The purpose is to provide a comprehensive maintenance strategy for the integrated components throughout their entire service life, including regular inspections, preventive maintenance, fault response, and component replacement, to ensure their long-term stable operation.

[0084] Optionally, the steps for generating a lifecycle maintenance plan for the integrated supplementary organization include: Identify the component's operating environment parameters, strength data, and historical event records; The real-time performance degradation rate of the component is calculated based on operating environment parameters, usage intensity data, and historical event records. The remaining effective lifespan of the component is calculated based on the real-time performance degradation rate and the current health status of the component. Based on the remaining effective lifespan, dynamically adjust the maintenance tasks, maintenance cycles, and maintenance resource allocation in the lifecycle maintenance plan corresponding to the integrated supplementary mechanism; Output the adjusted lifecycle maintenance plan.

[0085] Specifically, identifying the operating environment parameters, usage intensity data, and historical event records of components refers to acquiring, in real-time or periodically, the environmental conditions (e.g., temperature, humidity, corrosive media), loads or workloads (e.g., operating time, load rate, number of cycles), and any abnormal events (e.g., malfunctions, maintenance, impacts) that affect the component's performance during actual operation, through various sensors, monitoring systems, or data interfaces. This data forms the basis for assessing the actual health condition of the component.

[0086] Calculating the real-time performance degradation rate of a component based on operating environment parameters, usage intensity data, and historical event records can be understood as using a data analysis model (such as machine learning algorithms, physical models, or statistical methods) to comprehensively consider the multi-source data identified above and quantify the rate at which the component's performance declines over time. For example, a predictive model can be established that, after inputting real-time data, outputs the wear, fatigue, or aging rate of the component under current conditions.

[0087] In practical applications, calculating the remaining effective lifespan of a component based on its real-time performance degradation rate and current health status refers to predicting how long the component can continue to operate safely before reaching a preset failure threshold, based on its current performance level (e.g., obtained through non-destructive testing, performance testing, etc.) and its performance degradation rate. This typically involves a lifespan prediction model that can dynamically update the remaining lifespan using real-time data.

[0088] Furthermore, dynamically adjusting the maintenance tasks, maintenance cycles, and maintenance resource allocation in the lifecycle maintenance plan corresponding to the integrated supplementary mechanism based on the remaining effective lifespan means that the system can automatically or semi-automatically modify the original maintenance plan when the remaining effective lifespan of a component changes. For example, if the remaining lifespan is shortened, it may be necessary to schedule maintenance tasks in advance, shorten the maintenance cycle, or increase maintenance resource investment; conversely, if the remaining lifespan is extended, the maintenance cycle can be appropriately extended, and resource allocation can be optimized. Maintenance tasks may include inspection, cleaning, lubrication, and component replacement; the maintenance cycle refers to the frequency of these tasks; and maintenance resource allocation involves personnel, spare parts, and tools.

[0089] Therefore, outputting an adjusted lifecycle maintenance plan refers to providing the dynamically adjusted maintenance plan to relevant personnel or systems in an executable format (such as a report, instruction, or integration into the maintenance management system) to guide actual maintenance operations.

[0090] In some preferred embodiments, a specific example is given below. Assume an environmental design scheme includes a large, customized glass curtain wall component that integrates various local and overall compensation mechanisms. For its lifecycle maintenance management, firstly, environmental parameters are collected in real time using temperature sensors, humidity sensors, wind speed sensors, etc., deployed on the curtain wall component; secondly, performance data of the curtain wall component is obtained using structural strain gauges, vibration sensors, etc., such as strain caused by wind loads and localized stress caused by routine cleaning operations; simultaneously, any historical events that may affect the performance of the curtain wall component are recorded, such as hail impacts, earthquakes, or previous maintenance records.

[0091] Secondly, the real-time collected operating environment parameters, usage intensity data, and historical event records are input into a pre-trained performance degradation prediction model. This model comprehensively analyzes this data to calculate the real-time performance degradation rate of the glass curtain wall components, such as the microcrack propagation rate of the glass panel or the aging rate of the sealant.

[0092] Next, combining the current health status of the curtain wall component (e.g., crack length, sealant elasticity, etc. obtained through regular visual inspection or non-destructive testing), a life prediction algorithm is used to calculate the remaining effective life of the curtain wall component at the current degradation rate. For example, it is predicted that the curtain wall component will reach the failure threshold requiring replacement within the next five years.

[0093] Finally, based on the calculated remaining effective lifespan, the original lifecycle maintenance plan is dynamically adjusted. If the predicted remaining lifespan is significantly lower than expected, the system will immediately recommend conducting a comprehensive structural inspection and sealant replacement ahead of schedule, adjusting the maintenance cycle to once a year, and increasing the allocation of spare glass panels and professional maintenance personnel. If the predicted remaining lifespan exceeds expectations, the maintenance cycle can be appropriately extended, for example, from once every two years to once every three years, thereby optimizing the use of maintenance resources. Ultimately, the system outputs this dynamically adjusted, more targeted, and economical lifecycle maintenance plan to guide subsequent maintenance work.

[0094] Optionally, the steps of identifying the component's operating environment parameters, strength data, and historical event records include: Based on pre-deployed sensors of various types, the system collects the component's operating environment parameters, usage intensity data, and historical event records. Edge computing technology is used to process operating environment parameters, usage intensity data, and historical event records; By combining the component's location information, the operating environment parameters, usage intensity data, and historical event records processed by edge computing are spatially mapped. Using an IoT platform, transmit the operating environment parameters, usage intensity data, and historical event records after spatial mapping; By combining geographic information system and environmental monitoring data, the macro-environmental parameters of the area where the component is located are identified; When it is detected that the transmitted spatially mapped operating environment parameters, usage intensity data, and historical event records are missing, data interpolation is performed based on the component's location and macroscopic environment parameters.

[0095] Specifically, the pre-deployed sensors can include, but are not limited to, temperature sensors, humidity sensors, stress sensors, vibration sensors, displacement sensors, light sensors, and air quality sensors. These sensors are strategically installed on critical parts of the component or in its operating environment to collect the component's operating environment parameters, usage intensity data, and historical event records in real time and continuously. Operating environment parameters may include temperature, humidity, and corrosive gas concentration; usage intensity data may include load magnitude, operating frequency, and vibration amplitude; and historical event records may include impact events, abnormal wear, and crack initiation.

[0096] Edge computing technology refers to processing data near the data source, rather than transmitting all data to the cloud for centralized processing. Its purpose is to reduce data transmission latency, lower network bandwidth requirements, and improve data processing efficiency and response speed. For example, raw data collected by sensors can undergo preliminary filtering, aggregation, and anomaly detection on local edge computing devices, with only the processed key information or abnormal data being uploaded to the IoT platform.

[0097] The location information of a component can be provided by a Global Positioning System (GPS) module, an indoor positioning system (such as Bluetooth beacons or Wi-Fi positioning), or preset geographic coordinates. Spatially mapping the data processed by edge computing with the location information of the component refers to associating these data with the specific location of the component in three-dimensional space, forming data points or data fields with spatial attributes, so as to facilitate subsequent Geographic Information System (GIS) analysis and visualization.

[0098] The Internet of Things (IoT) platform acts as a hub for data transmission and aggregation, responsible for the secure and reliable transmission of spatially mapped data to backend management systems or cloud platforms. This platform can provide functions such as data storage, data analysis, device management, and application interfaces.

[0099] Geographic Information Systems (GIS) and environmental monitoring data are used to provide more macroscopic and regional environmental context information. GIS can provide information such as topography, geomorphology, and climate zoning of the area where the component is located, while environmental monitoring data can provide real-time or historical data on regional air quality, precipitation, wind speed, etc. By combining these macroscopic environmental parameters, a comprehensive understanding of the overall environment in which the component is located can be obtained.

[0100] When data transmission is interrupted due to network outages, sensor malfunctions, or other reasons resulting in data loss, data interpolation techniques are used to fill these gaps. Data interpolation can be based on the location information of the component and the macroscopic environmental parameters of its surrounding area. It can use statistical methods (such as linear interpolation, Kriging interpolation, nearest neighbor interpolation, etc.) or machine learning models to reasonably estimate the missing data, thereby ensuring the integrity and continuity of the data and not affecting subsequent performance degradation rate calculations and remaining effective life assessments.

[0101] This application also discloses an environmental design lifecycle management system for performing environmental design lifecycle management, combined with... Figure 4 As shown, the environmental design lifecycle management system 1 includes: The process requirement identification module 11 is used to identify the special process requirements of components in the environmental design scheme based on the input environmental design scheme. The description information generation module 12 is used to generate description information corresponding to special process requirements based on special process requirements. The capability information matching module 13 is used to match the capability information of construction suppliers in the project location based on the description information to obtain qualified suppliers that meet the special process requirements. The supply scarcity assessment module 14 is used to count the number of qualified suppliers, record it as the total number of qualified suppliers, and assess the scarcity of construction resources for special process requirements based on the comparison results between the total number of qualified suppliers and a preset threshold. Premium coefficient calculation module 15 is used to calculate the resource premium coefficient for special process requirements based on the scarcity of construction resource supply. The construction cost estimation module 16 is used to adjust the construction cost estimation corresponding to special process requirements based on the resource premium coefficient, and output the adjusted construction cost estimation to realize environmental design life cycle management.

[0102] To better understand the environmental design lifecycle management system proposed in this application, its various modules will be described in detail below.

[0103] The process requirement identification module is configured to identify the specific process requirements of components within the input environmental design scheme. This module can be implemented by one or more processors executing preset program instructions. For example, by integrating an expert system or machine learning model, it can analyze text and drawing data in the design scheme to automatically identify components requiring special processes and their characteristics. Specific methods and procedures for identifying special process requirements can be found in the detailed descriptions in the above embodiments of this application, and will not be repeated here.

[0104] The description information generation module is configured to generate description information corresponding to specific process requirements. This module can be a software component responsible for converting the identified specific process requirements into a structured, standardized data format. For example, unstructured process descriptions can be converted into description information that can be further processed by the system using preset templates or natural language processing techniques. For specific methods of generating description information, please refer to the detailed description in the above embodiments of this application, which will not be repeated here.

[0105] The capability information matching module is configured to match the capability information of construction suppliers in the project location with the description information to obtain qualified suppliers that meet the specific technological requirements. This module can be a database query and matching engine that uses algorithms to compare the description information of the specific technological requirements with the stored supplier capability information to filter out suppliers that meet the criteria. For example, matching can be based on keyword matching, semantic similarity analysis, or supplier qualification certification information. Specific methods for matching qualified suppliers can be found in the detailed description in the above embodiments of this application, and will not be repeated here.

[0106] The supply scarcity assessment module is configured to count the number of qualified suppliers, record it as the total number of qualified suppliers, and assess the scarcity of construction resources for special process requirements based on a comparison between the total number of qualified suppliers and a preset threshold. This module can be a data analysis component responsible for counting the number of matched qualified suppliers and comparing it with a preset threshold to quantify the scarcity of construction resources. For example, when the total number of qualified suppliers is less than the preset threshold, the scarcity level is increased. Specific methods for assessing the scarcity of construction resource supply can be found in the detailed description in the above embodiments of this application, and will not be repeated here.

[0107] The premium coefficient calculation module is configured to calculate the resource premium coefficient for special process requirements based on the scarcity of construction resource supply. This module can be a calculation engine that calculates the corresponding resource premium coefficient based on the scarcity level output by the supply scarcity assessment module, combined with preset mapping rules or dynamic economic models. For example, the higher the scarcity level, the larger the resource premium coefficient. The specific method for calculating the resource premium coefficient can be found in the detailed description in the above embodiments of this application, and will not be repeated here.

[0108] The construction cost estimation module is configured to adjust the construction cost estimate corresponding to special process requirements based on the resource premium coefficient, and output the adjusted construction cost estimate to achieve environmental design lifecycle management. This module can be a cost accounting and report generation component, responsible for multiplying the initial construction cost estimate by the calculated resource premium coefficient to obtain the final adjusted cost estimate, and outputting it in report form. For specific methods of adjusting the construction cost estimate, please refer to the detailed description in the above embodiments of this application, which will not be repeated here.

[0109] These modules can be integrated into a central processing unit or distributed across different servers or computing nodes, exchanging data and collaborating via network interfaces. For example, they can be deployed on a cloud computing platform to achieve loose coupling and high scalability between modules.

[0110] Compared to existing technologies that merely establish a direct and isolated correspondence between design parameters and construction costs based on static information, the core innovation of the environmental design lifecycle management system proposed in this application lies in the introduction of a dynamic assessment and cost adjustment mechanism for "special process requirements." Traditional methods, when dealing with components requiring special construction processes, such as new prefabricated exterior wall panels, often only consider material costs, neglecting the "process scarcity" premium resulting from construction techniques, equipment availability, and labor market conditions.

[0111] This application's system, through a process requirement identification module, can proactively identify special aspects of the design scheme that may incur additional costs. Subsequently, the description information generation module and the capability information matching module work together, enabling the system to consider the implementation difficulty and resource availability of special processes from both technical and market perspectives. Furthermore, the supply scarcity assessment module and premium coefficient calculation module directly address the problem of the inability to quantify the "process scarcity" premium in existing technologies. Through dynamic evaluation of the number of qualified suppliers, this system can accurately determine the market supply situation and convert it into a quantifiable resource premium coefficient.

[0112] Ultimately, the construction cost estimation module adjusts the construction cost estimates corresponding to special process requirements based on the resource premium coefficient. This ensures that the final construction cost estimate fully reflects market supply and demand and the actual costs of special processes, avoiding cost estimation biases caused by incomplete information in traditional methods. This dynamic and comprehensive evaluation mechanism enables the system to identify and address potential cost risks earlier and more accurately in environmental design lifecycle management, thereby significantly improving the economic feasibility of design schemes and the overall management efficiency of projects, demonstrating remarkable progress and innovation.

[0113] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An environmental design life cycle management method, characterized by, Comprising based on the input of the environmental design scheme, identifying the special process requirements of the components in the environmental design scheme; generating description information corresponding to the special process requirements according to the special process requirements; According to the description information, match the construction supplier capability information of the project location to obtain the qualified supplier that meets the special process requirements; Statistics of the number of qualified suppliers, record as the total number of qualified suppliers, and evaluate the construction resource supply scarcity of the special process requirements according to the comparison result of the total number of qualified suppliers and the preset threshold value; According to the construction resource supply scarcity, calculate the resource premium coefficient of the special process requirement; According to the resource premium coefficient, adjust the construction cost estimate corresponding to the special process requirement, and output the adjusted construction cost estimate to realize the environmental design life cycle management.

2. The environmental design life cycle management method of claim 1, wherein, The step of evaluating the construction resource supply scarcity of the special process requirement includes: Based on the special process requirement, identify the external process necessary to complete the special process requirement; Establishing a process scheduling and dependency relationship diagram for the external process; Inquire the real-time scheduling information of the third party institution corresponding to the external process; According to the process scheduling and dependency relationship diagram and the real-time scheduling information, the delay of the external process to the total construction period of the environmental design scheme is evaluated; Quantify the delay into financial cost; According to the financial cost, adjust the construction cost estimate corresponding to the special process requirement, and evaluate the construction resource supply scarcity of the special process requirement according to the adjusted construction cost estimate.

3. The environmental design life cycle management method of claim 1, wherein, The step of calculating the resource premium coefficient of the special process requirement according to the construction resource supply scarcity includes: Inquire the performance data of the qualified supplier, quality evaluation, credit rating and historical project performance data; According to the performance data of the qualified supplier, quality evaluation, credit rating and historical project performance data, calculate the supplier risk coefficient of the qualified supplier; According to the supplier risk coefficient and the construction resource supply scarcity, calculate the resource premium coefficient of the special process requirement.

4. The environmental design life cycle management method of claim 1, wherein, When the adjusted construction cost estimate exceeds the preset cost upper limit, the step of adjusting the construction cost estimate corresponding to the special process requirement according to the resource premium coefficient includes: Inquire the premium reason, and activate the alternative scheme recommendation process according to the premium reason; Based on the premium reason, analyze the technical characteristics of the special process requirement that leads to the premium; Based on the technical characteristics, query the alternative design scheme or construction process from the alternative scheme knowledge base; Simulate the influence of the alternative design scheme or construction process on the construction cost, construction period and performance index; Output the comparison information of the original environmental design scheme and the alternative design scheme after comparing the cost, construction period and performance index, and adjust the construction cost estimate corresponding to the special process requirement according to the comparison information.

5. The environmental design life cycle management method of claim 4, wherein, The step of analyzing the technical characteristics of the special process requirement that leads to the premium based on the premium reason includes: Based on the premium reasons, identify the geometric information, material properties and connection node characteristics of the components corresponding to the special process requirements causing the premium, obtain the material characteristic parameters of the components; Obtain the environmental parameters of the project location of the environmental design scheme; According to the material characteristic parameters and the environmental parameters, calculate the structural stress of the component; According to the structural stress, deduce the compensation mechanism required by the component; According to the technical description corresponding to the compensation mechanism, analyze the regulatory requirements triggered by the compensation mechanism; According to the regulatory requirements, build the certification process of the compensation mechanism; Query the historical behavior data of the qualified supplier; Based on the certification process, evaluate the risk inclination of the qualified supplier according to the historical behavior data; Map the risks corresponding to the structural stress, the risks corresponding to the regulatory requirements and the risk inclination to the component to obtain a mapping result; According to the mapping result, generate a risk heat map; According to the risk heat map, generate a risk chain report.

6. The environmental design life cycle management method of claim 5, wherein, The step of deducing the compensation mechanism required by the component according to the structural stress comprises: Grid division is performed on the component to obtain a plurality of regions; According to the structural stress distribution of the region, the local stress concentration area of the component is identified; According to the stress type and concentration degree of the local stress concentration area, determine the local compensation mechanism required by the local stress concentration area; According to the overall stress distribution of the non-local stress concentration area, determine the overall compensation mechanism required by the non-local stress concentration area; Integrate the local compensation mechanism and the overall compensation mechanism, continuously confirm that there is no conflict between the local compensation mechanism and the overall compensation mechanism, and work together.

7. The environmental design life cycle management method of claim 6, wherein, The step of integrating the local compensation mechanism and the overall compensation mechanism comprises: Identify the material composition, construction process and maintenance period of the local compensation mechanism and the overall compensation mechanism; Evaluate whether there is material compatibility, construction conflict or maintenance overlap between the local compensation mechanism and the overall compensation mechanism to obtain a compatibility evaluation result; When the compatibility evaluation result indicates that there is an incompatible situation, recommend alternative materials or adjust the construction process; Calculate the influence information of the alternative materials or the adjusted construction process on the structural strength, durability and operating cost of the component; Based on the influence information, integrate the local compensation mechanism and the overall compensation mechanism to obtain an integrated compensation mechanism; Generate the life cycle maintenance plan corresponding to the integrated compensation mechanism.

8. The environmental design life cycle management method of claim 7, wherein, The step of generating the life cycle maintenance plan corresponding to the integrated compensation mechanism comprises: Identify the operating environment parameters, use intensity data and historical event records of the component; According to the operating environment parameters, use intensity data and historical event records, calculate the real-time performance attenuation rate of the component; According to the real-time performance attenuation rate and the current health status of the component, calculate the remaining effective life of the component; According to the remaining effective life, dynamically adjust the maintenance tasks, maintenance period and maintenance resource allocation in the life cycle maintenance plan corresponding to the integrated compensation mechanism; Output the adjusted life cycle maintenance plan.

9. The environmental design life cycle management method of claim 8, wherein, The step of identifying the operation environment parameters, use intensity data and historical event records of the component includes: Based on the pre-deployed various types of sensors, the operation environment parameters, use intensity data and historical event records of the component are collected; Using edge computing technology, the operation environment parameters, use intensity data and historical event records are processed; Combined with the location information of the component, the operation environment parameters, use intensity data and historical event records processed by edge computing are spatially mapped; Using the Internet of Things platform, the operation environment parameters, use intensity data and historical event records spatially mapped are transmitted; Combined with the geographic information system and environmental monitoring data, the macro environment parameters of the area where the component is located are identified; When it is identified that the transmitted operation environment parameters, use intensity data and historical event records spatially mapped are missing, data interpolation is performed based on the location of the component and the macro environment parameters.

10. An environmental design life cycle management system for performing environmental design life cycle management, characterized by, Comprise: A process requirement identification module for identifying special process requirements of components in an environmental design scheme based on an input environmental design scheme; A description information generation module for generating description information corresponding to the special process requirements according to the special process requirements; An ability information matching module for matching construction supplier ability information at the project site according to the description information to obtain qualified suppliers that meet the special process requirements; A supply scarcity evaluation module for counting the number of qualified suppliers, recording the total number of qualified suppliers, and evaluating the construction resource supply scarcity of the special process requirements according to the comparison result of the total number of qualified suppliers and a preset threshold value; A premium coefficient calculation module for calculating the resource premium coefficient of the special process requirements according to the construction resource supply scarcity; A construction cost estimation module for adjusting the construction cost estimation corresponding to the special process requirements according to the resource premium coefficient, and outputting the adjusted construction cost estimation to realize environmental design life cycle management.

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