Airport full-period performance measurement system based on eight performance domains of PMBOK and application method

Abstract

The invention discloses an ultra-large airport project full-life-cycle management performance measurement system based on eight performance domains of PMBOK, and the system comprises an overall framework construction module which is used for constructing a bidirectional integrated management and control framework of a transverse performance domain and a longitudinal construction stage; the staged measurement model module is used for establishing a measurement model for three stages of design, construction and acceptance delivery, and generating a staged measurement result based on data of each stage; the multi-level index mapping module is used for mapping the performance domain, the target, the task and the inspection key points into quantitative parameters step by step; and the quantitative measurement and scoring module is used for calculating a task score, a performance domain average score and an overall management level based on the completion state of the inspection key point. According to the system, multi-source data fusion, multi-main-body online collaboration and measurement result closed-loop optimization are realized through staged core technical measures, teeter collaborative measurement and feedback improvement mechanism module collaboration, and the technical problems of difficulty in cross-stage collaboration, index fragmentation and performance evaluation lagging of an ultra-large airport project are solved.

Description

Technical Field

[0001] This invention relates to the field of management system technology, and in particular to a performance measurement system and method for the whole life cycle management of ultra-large airport projects based on the eight performance domains of PMBOK. Background Technology

[0002] Currently, the construction management of airport projects in China generally adopts a traditional project management model, which focuses on controlling the scope, schedule, cost, and quality and safety of the project, forming a management chain through process control. This model primarily relies on project schedule planning, construction plan approval, and quality inspection, with a focus on post-project checks. Furthermore, each stage is often handled independently by different departments (such as design, construction, quality, safety, and cost estimation), and coordination mechanisms mainly depend on meetings and document circulation. In terms of management approach, it is primarily based on single-project management, lacking cross-stage, cross-system, and cross-entity collaborative mechanisms for mega-airport projects.

[0003] Some regions have introduced information management platforms and performance evaluation indicator systems into project management, such as the "smart construction site," "BIM collaborative management," and "digital supervision of project quality and safety" models promoted by the Ministry of Construction. However, these systems are mostly limited to process monitoring during the construction phase or the measurement of indicators in a single field, and have failed to form a comprehensive quantitative measurement system covering the entire life cycle from planning, design, construction to delivery.

[0004] The existing engineering management system for mega-project clusters has the following technical problems: 1. Data and indicators are disconnected: Each management system (quality, safety, cost, environmental protection, integrity, etc.) operates independently, lacking a unified measurement logic and indicator mapping structure, making it difficult to achieve comprehensive quantitative comparison and optimization of different stages and systems.

[0005] 2. Insufficient phase coverage: The measurement and assessment system is mainly concentrated in the construction phase, while the design planning, delivery and handover phases lack real-time quantitative measurement, resulting in gaps in the whole life cycle management.

[0006] 3. Insufficient quantification capabilities: Existing indicators mostly rely on manual inspection and lack real-time quantitative measurement capabilities based on technologies such as BIM models, IoT sensors, and digital assets.

[0007] 4. Lack of multi-party collaboration technology: There is a single channel for collecting stakeholder information, and there is a lack of a multi-level collaborative measurement and responsibility transfer mechanism across approval departments, operating units, participating entities and the general public.

[0008] 5. Weak closed-loop optimization capability: The measurement results are mostly used for post-event evaluation and are not linked to daily management, performance appraisal or reward and punishment incentive mechanisms. There is a lack of automated feedback and standardized control rule generation capabilities.

[0009] Therefore, given the characteristics of mega-airport projects, such as large scale, complex specialties, and numerous stakeholders, there is an urgent need to establish a quantitative measurement system for engineering performance covering the entire life cycle of design, construction, and acceptance and delivery. This system should utilize multi-level indicator mapping, phased measurement models, quantitative scoring, and stakeholder collaborative measurement techniques to achieve phased engineering data collection, quantifiable analysis, closed-loop optimization, and standardized control, thus providing technical support for the construction of mega-airport projects. Summary of the Invention

[0010] The purpose of this invention is to provide a full-cycle performance measurement system for airports based on the eight performance domains of PMBOK, and its application method. This system achieves standardized, quantifiable, and traceable management of the design, construction, and acceptance and delivery stages through the coordinated operation of an overall framework construction module, a phased measurement model module, a multi-level indicator mapping module, and a quantitative measurement and scoring module. This addresses the technical problems of difficult management coordination, ambiguous performance evaluation, and lagging risk control in ultra-large airport projects with large scale, complex specialties, and multiple stakeholders.

[0011] To achieve the above objectives, the present invention adopts the following technical solution: An airport full-cycle performance measurement system based on the eight performance domains of PMBOK includes an overall framework construction module, a phased measurement model module, a multi-level indicator mapping module, and a quantitative measurement and scoring module. The overall framework construction module is used to build a two-way integrated management and control framework that combines horizontal performance domains with vertical construction phases; The horizontal performance domains include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and the construction phase. The phased measurement model module is used to establish corresponding measurement models for the design phase, construction phase, and acceptance and delivery phase, and to perform calculations based on the engineering operation status data formed in each phase to generate phased measurement results. The multi-level indicator structure module includes a performance domain layer, a target layer, a task layer, and an inspection point layer, which are used to transform management targets into quantifiable execution parameters according to the mapping relationship of "target-task-inspection point". The quantitative measurement and scoring module performs quantitative calculations on each task based on the completion status of the inspection points, generates task-level scores and performance domain-level scores, and outputs the overall management level according to preset level rules. The overall framework construction module constructs a matrix-style management and control structure that combines horizontal performance domains with vertical construction phases, defining the measurement range and data processing boundaries of each performance domain at different construction phases. Under the constraints of this management and control structure, the phased measurement model module performs corresponding measurement model calculations on the engineering operation status data of the design, construction, and acceptance / delivery phases, generating phased measurement results. The multi-level indicator mapping module structurally maps the phased measurement results according to performance domain, target, task, and inspection point layers, transforming them into quantifiable execution parameters in a unified format. The quantitative measurement and scoring module performs standardized scoring calculations based on these quantifiable execution parameters and outputs tiered measurement results. Through the coordinated operation of the above data processing flow, all modules achieve standardized and quantifiable performance measurement of the ultra-large airport project from design and construction to acceptance and delivery.

[0012] Preferably, the phased measurement model module includes a design phase measurement model and a construction phase measurement model; The design phase measurement model is used to generate design phase measurement results based on design model data and rule verification parameters. The construction phase measurement model is used to generate construction phase measurement results based on construction process data and on-site monitoring data; the acceptance and delivery phase measurement model is used to generate delivery integrity measurement results based on asset data and acceptance documents.

[0013] Preferably, the quantitative measurement and scoring module establishes a comprehensive quantitative measurement system based on three types of assessment methods, two levels of scoring formulas, and four levels of level determination, according to the adaptation of differentiated assessment methods, standardized scoring formulas, four-level level determination, and measurement result traceability. The score for each task is quantified using a standardized scoring formula. Using the following formula: ; in, Number the task. To meet the required number of inspection points, The number of partially compliant inspection points. This represents the number of key inspection points that were not yet carried out.

[0014] Preferably, the formula for the average score of the performance domain is: ; in, Number the performance domain. The number of tasks contained in this performance domain; Based on individual task scores and average performance domain scores, the overall management level is output through a four-level rating module, including "Excellent (A+)", "Compliant (A)", "Improvement (B)" and "Unqualified (C)". Individual task levels are divided into "fully compliant, basically compliant, partially compliant, and non-compliant", and performance domain levels are evaluated based on the completion of tasks within the domain, thus forming a standardized, quantifiable, and traceable overall management level covering the entire life cycle of the mega-airport project.

[0015] Preferably, the quantitative measurement and scoring module further includes a result traceability unit. When measuring and scoring each time, the result traceability unit associates and records the original inspection evidence on which the score is based. The original inspection evidence includes at least the evaluator information, the evaluation time, the associated electronic documents, on-site photos and inspection records, so as to form a traceable measurement and evaluation file.

[0016] Preferably, in the multi-level indicator structure module, each performance domain of the performance domain layer is associated with a quantitative measurement function. The quantitative measurement function is used to calculate the performance value of the performance domain by weighting the target parameters or task parameters of the next level according to preset weights.

[0017] Preferably, it also includes a phased core technology measures module, which is used to adopt collaborative design and simulation analysis technology based on building information model in the design phase, digital construction record and intelligent monitoring technology in the construction phase, and digital asset verification and collaborative acceptance technology in the acceptance and delivery phase.

[0018] Preferably, it also includes a stakeholder collaboration measurement module, which is used to realize data interaction, responsibility allocation and collaboration status measurement among different participating entities on a unified identity authentication digital platform.

[0019] Preferably, it also includes a feedback and improvement mechanism module, which is used to perform statistical analysis on the measurement results, identify abnormal states and dynamically adjust the measurement parameters, and solidify the stable and compliant measurement results into standardized control rules; wherein, each module achieves linkage operation through data interface, thereby realizing the standardization, automation and traceability management of the entire life cycle of the ultra-large engineering project.

[0020] In addition, this invention also provides an application method for an airport full-cycle performance measurement system based on the eight performance domains of PMBOK, comprising the following steps: Step S1: Overall Framework Construction By constructing a general framework module, a two-way integrated management and control framework is built, combining horizontal performance domains with vertical construction phases. The horizontal performance domains include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and construction phase. The Delphi method is used for a three-level logical design of "key objective screening - task matching - checkpoint setting". Core key objectives are screened from the initial pool to form a rule engine to achieve the adaptation of performance domains and project phases. Step S2: Establishing a phased measurement model Through a phased measurement model module, measurement models are established for the design, construction, and acceptance and delivery phases. In the design phase, 33 measurement indicators are set and BIM model automatic verification and rule checks are adopted; in the construction phase, 58 measurement indicators are set and data is collected in real time through IoT sensors; in the acceptance and delivery phase, 17 measurement indicators are set and virtual-real comparison is performed through BIM technology; statistical process control and cluster analysis algorithms are used to dynamically optimize the indicator weights, realizing data integration throughout the design-construction-delivery process. Step S3: Multi-level indicator mapping Through a multi-level indicator mapping module, management objectives are transformed into quantifiable execution parameters according to the mapping relationship of "objective-task-inspection point". Each performance domain in the performance domain layer is associated with a quantitative measurement function, which calculates the performance value of the next level of objective parameters or task parameters according to preset weights. The task layer is refined into 108 key tasks, and the inspection point layer is transformed into quantifiable execution points (QCPs). Boolean / percentage / rank quantitative models are used for scoring to achieve closed-loop quantitative management. Step S4: Application of core technologies in stages Through phased core technology modules, high-quality engineering design is achieved by implementing full-process construction planning, green design, stakeholder collaboration, and risk pre-control during the design phase; standardized construction is achieved during the construction phase through the technical parameter verification model of the first sample section and the three-inspection digital recording system, and dynamic management is achieved through video safety risk identification and smart environmental monitoring; during the acceptance and delivery phase, standardized formats and verification rules for digital assets are established to achieve simultaneous transfer of digital and physical assets, and the acceptance process is integrated through a collaborative platform to achieve multi-department collaboration. Step S5: Quantitative Measurement and Scoring The quantitative measurement and scoring module quantifies each task based on the completion status of the inspection points, generating task-level and performance domain-level scores. The formula for scoring a single task is as follows: ; in, Number the task. To meet the required number of inspection points, The number of partially compliant inspection points. Number of key inspection points that were not carried out; The formula for the average score of the performance domain is: ; in, Number the performance domain. The number of tasks included in this performance domain; the overall management level is output based on the four-level rating system. Step S6: Stakeholder Collaboration Measurement Through the stakeholder collaboration measurement module, stakeholders in the approval and supervision, construction and implementation, operation and use, and public categories are identified. Needs, information, progress and feedback are collected through the digital collaboration platform, and a horizontal collaboration evaluation and vertical responsibility transfer mechanism is established to generate a stakeholder performance index and achieve multi-level comprehensive measurement. Step S7: Feedback and Improvement Through the feedback and improvement mechanism module, the operation analysis unit generates stage performance curves based on the time sequence analysis of construction data, deviation identification, and process quality anomaly identification; the index adjustment unit optimizes index thresholds based on problem frequency; the standard extraction unit solidifies the stable measurement performance tasks into basic standards, transforms "not fully compliant" tasks into improvement standards, and converts high-frequency problems into special standards, thus realizing closed-loop management from measurement to standardization.

[0021] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention can solve the defects of the full life cycle management gap and achieve seamless connection between construction and operation. The existing technology is based on "single element + phased" as the core. This invention, through the full element integration framework of "eight performance domains + three stages", transforms qualitative management into a measurable, traceable and improveable closed-loop system, and realizes the integration and quantification of the project management system.

[0022] (2) This invention can solve the deficiencies of insufficient quantification and dynamism in measurement, and improve the accuracy and real-time performance of management. Existing technologies rely on qualitative measurement indicators and manual data collection, which is lagging behind and cannot dynamically adjust strategies. This patent improves the ability to manage the entire process with precision through the "task-inspection point-quantitative scoring system", and realizes data integration and risk prevention in the design, construction and delivery stages.

[0023] (3) This invention can solve the problem of fragmented management framework and significantly improve the efficiency of all-element collaboration. In the prior art, implicit elements such as stakeholder communication and team collaboration are disconnected from explicit elements such as quality and safety, resulting in low management efficiency and high rework rate. This invention significantly improves stakeholder collaboration efficiency and reduces information silos and approval delays through a collaboration measurement mechanism.

[0024] This invention addresses the standardization issues in engineering management and boasts strong replicability and scalability. Existing systems are difficult to replicate across projects and regions. The system of this invention adopts a modular and standardized design, allowing for rapid adjustment of indicator weights and measurement modules according to different project types (airports, rail transit, ports, integrated transportation hubs). It possesses excellent replicability and scalability, and can be widely applied in major infrastructure projects nationwide, contributing to the formation of unified, high-quality engineering measurement standards in the civil aviation construction field.

[0025] This invention uses the Project Management Body of Knowledge (PMBOK) 7th Edition as its theoretical framework and incorporates the seven construction goals outlined in the Civil Aviation Administration of China's "Guiding Opinions on Building High-Quality Civil Airport Projects" to construct a multi-dimensional measurement system applicable to the entire lifecycle of airport construction. This system achieves closed-loop quantitative management from strategic goal decomposition to task execution through a four-level structure: performance domain—goal layer—task layer—inspection point layer. By establishing three core modules—measurement indicators, feedback mechanisms, and improvement models—it realizes a high-quality project management measurement system based on the eight performance domains of PMBOK, enabling dynamic, systematic, and scientific measurement and optimization throughout the entire construction process. Attached Figure Description

[0026] Figure 1 A flowchart illustrating the application method of an airport full-cycle performance measurement system based on the eight performance domains of PMBOK, provided as an embodiment of the present invention. Detailed Implementation

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0028] like Figure 1As shown in this embodiment, an airport full-cycle performance measurement system based on the eight performance domains of PMBOK is disclosed. It includes an overall framework design module, a phased measurement model module, a multi-level indicator structure module, a phased core technical measures module, a quantitative measurement and scoring module, a stakeholder collaborative measurement module, and a feedback and improvement mechanism module. This system, through the collaborative operation of these modules, achieves standardized and quantifiable management of the entire lifecycle of mega-airport projects, from design and construction to acceptance and delivery. It solves the technical problems of difficult management collaboration, ambiguous performance evaluation, and lagging risk control caused by the large scale, complex specialties, and numerous stakeholders in mega-airport projects. This invention, through the integrated and collaborative operation of functional modules, solves systemic problems such as fragmented objectives, ambiguous evaluation, inefficient collaboration, and difficulty in knowledge accumulation, achieving full-cycle, standardized, quantifiable, and self-optimizing engineering management.

[0029] The overall framework design modules include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management as eight performance domains, defined as the horizontal all-element axis; The design, construction, acceptance and delivery phases of airport engineering construction are defined as the vertical full-cycle axis, forming a two-way integrated management and control framework that combines horizontal and vertical aspects. Clearly define the core performance domains and management boundaries for each stage, and establish a closed-loop management logic for the entire lifecycle; This section uses a matrix data structure to store the mapping relationship between each stage and the performance domain and realize data linkage. It adopts the Delphi method to carry out a three-level logical design of "key target screening - work task matching - inspection point setting". 49 core key targets are screened from the initial pool, and the adaptation rules between the performance domain and the project stage are established through the rule engine. This solves the technical problems of poor adaptability of traditional technical frameworks to airport project characteristics and fragmented targets, and realizes systematic management of full element integration and full life cycle connection.

[0030] The phased measurement model module establishes a three-phase measurement model based on different stages of airport engineering construction, including the design phase, construction phase, and acceptance and delivery phase. The design phase includes 33 measurement indicators, focusing on design compliance, technical feasibility, and stakeholder needs alignment, utilizing BIM model automatic verification and rule checks. The construction phase includes 58 measurement indicators, covering dimensions such as schedule, quality, safety, and cost, with real-time data collection through IoT sensors (such as displacement sensors and noise monitors). The acceptance and delivery phase includes 17 measurement indicators, focusing on assessing asset integrity and operational readiness, using BIM technology for virtual-to-physical comparison. Each stage focuses on implementing work tasks and inspection points around the corresponding performance domain. Statistical process control and cluster analysis algorithms are used to dynamically optimize indicator weights, ensuring that the measurement focus of each stage is consistent with the project management objectives. At the same time, it can be connected with existing systems through API to achieve data integration throughout the design-construction-delivery process, achieving full coverage of the design-construction-delivery process. This solves the technical problems of unclear management focus and insufficient measurement targeting at different stages, and realizes full-process data integration and dynamic and accurate measurement.

[0031] The multi-level indicator structure module includes a performance domain layer, a target layer, a task layer, and a checkpoint layer; The performance domain layer determines the measurement logic; the target layer corresponds to the "seven quality construction goals" proposed by the civil aviation authorities, defining the measurement logic function for each performance domain. For example, the stakeholder performance domain function is F. stakeholder =w1*Participation + w2*Response Timeliness + w3*Collaboration Efficiency Index, where the performance domain function for development methods is F. lifecycle =w1*correctness of stage division +w2*closed-loop rate of review nodes, thus forming a set of functions for eight performance domains; The task layer is further refined into 108 key tasks. These 108 tasks are grouped and numbered according to their performance domain, construction stage, target category, and task weight to ensure the operability of the entire system. The inspection point layer is transformed into quantifiable actionable points (QCPs), which are scored using a Boolean / percentage / ranking quantitative model to achieve closed-loop quantitative management from strategic objectives to execution tasks.

[0032] Each level in this section achieves a logical closed loop through a one-to-one mapping of "goal-task-checkpoint," solving the technical problems of chaotic indicator levels and poor operability.

[0033] The core technical measures module is divided into phases, including the design phase, construction phase, and acceptance and delivery phase. The design phase measurement model achieves high-quality engineering design through full-process construction planning, green design, stakeholder collaboration, and risk pre-control. It employs digital collaborative design technology to build a BIM-based multi-disciplinary collaborative platform, enabling real-time data sharing among design, construction, and operation units and resolving cross-disciplinary interface conflicts. Simulation optimization technology is used, applying site planning simulation, terminal passenger flow simulation, and airspace flight procedure simulation to quantitatively evaluate and optimize design schemes, ensuring functional compatibility. Green design technology is employed to establish a green and low-carbon design indicator system, utilizing sponge city design, permanent-temporary integrated design, and intelligent energy management design technologies to achieve low-carbon goals throughout the entire life cycle. Risk pre-control technology is used to construct a risk list for the design phase, employing failure mode and impact analysis to assess risk levels and develop targeted countermeasures.

[0034] Construction phase measurement model: Standardized construction is achieved through the technical parameter verification model of the first sample section and the digital recording system of the three-inspection system (self-inspection, mutual inspection, and special inspection). Intelligent management and control are achieved through video safety risk identification and smart environmental protection monitoring. Performance quantitative evaluation and dynamic risk prevention and control are achieved through the construction phase risk prediction and safety event early warning model based on time-series data. Real-time measurement and optimization of the construction process are completed. Acceptance and Delivery Phase: Establish standardized formats and verification rules for digital assets to achieve simultaneous transfer of physical assets (engineering entities, equipment and facilities) and digital assets (BIM operation and maintenance models, electronic archives, and data ledgers); build an acceptance collaboration platform to integrate special acceptance processes such as planning, fire protection, and environmental protection, enabling online submission, review, and feedback of acceptance materials, shortening the acceptance cycle, and achieving seamless operational management and multi-departmental collaboration; adopt "dual backup + off-site storage" data migration and backup technology to ensure traceability and recoverability of digital assets after transfer, guarantee data security during the operation phase, achieve high-quality project transfer and smooth operational transition, and provide specific and reliable technical support for performance measurement at each stage.

[0035] The quantitative measurement and scoring module, based on adaptation to differentiated assessment methods, standardized scoring formulas, four-level grading, and traceability of measurement results, establishes a comprehensive quantitative measurement system encompassing three assessment methods, two-level scoring formulas, and four-level grading. Differentiated assessment methods and technologies: Questionnaire surveys are adapted to 42 tasks with clear standards and requiring rapid verification, using structured checklists to achieve comprehensive assessment; expert and third-party document review is adapted to 53 highly specialized tasks involving hidden issues, achieving objective assessment by reviewing technical documents, test reports, and management records; document review + on-site inspection is adapted to 13 tasks involving the authenticity of engineering entities, ensuring assessment accuracy through dual verification.

[0036] Standardized scoring formula: The scoring formula for a single task is as follows: ; in, Number the 108 tasks. To meet the required number of inspection points, The number of partially compliant inspection points. This represents the number of key inspection points that were not yet carried out.

[0037] ; in, Number the performance domain. This represents the number of tasks contained in this performance domain.

[0038] The four-level rating system transforms the ambiguity of management performance into objective and precise scores and ratings. Individual task ratings include fully compliant (fi=100), basically compliant (80≤fi<100), partially compliant (60≤fi<80), and non-compliant (fi<60). Performance domain ratings include high (average score 100, all tasks fully compliant), average (average score ≥80, no non-compliant tasks), improvement level (average score ≥60, a few non-compliant tasks), and unsatisfactory (average score <60, many non-compliant tasks). Overall management ratings include excellent (A+, no average or below in any performance domain), satisfactory (A, no improvement or below), improving (B, no unsatisfactory levels), and unsatisfactory (C, unsatisfactory performance domains exist). Through standardized, differentiated quantitative scoring and the four-level rating system, the system transforms vague management performance into objective and precise scores and ratings. Relying on a traceable chain of evaluation evidence, it solves the problems of vague performance evaluation and difficulty in tracing responsibility, achieving refined, standardized, and traceable digital performance measurement throughout the entire process.

[0039] The stakeholder collaboration measurement module constructs a collaborative measurement system of "multi-level stakeholders + digital collaboration + responsibility transfer", which includes multiple stakeholders such as approval departments, regulatory agencies, design units, construction units, supervision units, operation units and public opinions; Identify key stakeholders in stages, forming four categories: approval and supervision (NDRC, CAAC, etc.), construction and implementation (design, construction, and supervision units), operation and use (airlines, ground staff, and passengers), and the general public (surrounding communities and the public). Clarify the collaborative needs and measurement indicators for each type of stakeholder. A stakeholder collaboration platform was built, which adopts a microservice architecture through unified identity authentication (SSO) to achieve modular expansion. It integrates functions such as requirement submission, information release, progress query, and problem feedback, and establishes a hierarchical communication mechanism. A special coordination group and regular meeting mechanism are set up for the approval department, a monthly coordination meeting mechanism is set up for the participating units, and an online publicity and opinion collection mechanism is set up for the public. All communication records are automatically archived.

[0040] By employing a horizontal collaborative evaluation and a vertical responsibility transfer mechanism, a multi-level comprehensive measurement system is formed. Horizontal collaboration is based on an interface collaboration database and a cross-unit goal consistency algorithm, while vertical responsibility transfer is quantified into a responsibility performance index through the RACI responsibility matrix. Through a unified digital platform and a quantitative collaborative evaluation mechanism, the problems of low efficiency and severe information barriers in multi-party collaboration are solved. Dynamic collaboration and quantitative responsibility assessment based on the digital platform are realized, making collaboration efficiency explicit rather than implicit, and quantitative rather than qualitative.

[0041] The feedback and improvement mechanism module includes an operation analysis unit, an indicator adjustment unit, and a standard extraction unit; The operation analysis unit automatically generates "stage performance curves" by using construction data time-series analysis, deviation identification algorithms, and process quality anomaly identification; the index adjustment unit calculates the problem frequency by the ratio of occurrence frequency to inspection frequency and optimizes index thresholds; the standard extraction unit extracts tasks that perform stably during the measurement process into formal standards, solidifies "fully compliant" tasks into basic standards, forms "partially compliant" tasks into improvement standards, and transforms high-frequency problems into special standards, which are then incorporated into the command center's standard management system. This achieves a closed loop from measurement to standardization, solves the problems of project management experience being difficult to accumulate and standards being difficult to iterate and optimize, and realizes a self-learning closed loop and knowledge accumulation of "measurement-analysis-improvement-standardization".

[0042] The overall framework construction module constructs a matrix-style management and control structure that combines horizontal performance domains with vertical construction phases, defining the measurement range and data processing boundaries of each performance domain at different construction phases. Under the constraints of this management and control structure, the phased measurement model module performs corresponding measurement model calculations on the engineering operation status data of the design, construction, and acceptance / delivery phases, generating phased measurement results. The multi-level indicator mapping module structurally maps the phased measurement results according to performance domain, target, task, and inspection point layers, transforming them into quantifiable execution parameters in a unified format. The quantitative measurement and scoring module performs standardized scoring calculations based on these quantifiable execution parameters and outputs tiered measurement results. Through the coordinated operation of the above data processing flow, all modules achieve standardized and quantifiable performance measurement of the ultra-large airport project from design and construction to acceptance and delivery.

[0043] In addition, this embodiment also provides an application method for an airport full-cycle performance measurement system based on the eight performance domains of PMBOK, including the following steps: Step S1: Overall Framework Construction By constructing a general framework module, a two-way integrated management and control framework is built, combining horizontal performance domains with vertical construction phases. The horizontal performance domains include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and construction phase. The Delphi method is used for a three-level logical design of "key objective screening - task matching - checkpoint setting". Core key objectives are screened from the initial pool to form a rule engine to achieve the adaptation of performance domains and project phases. Step S2: Establishing a phased measurement model Through a phased measurement model module, measurement models are established for the design, construction, and acceptance and delivery phases. In the design phase, 33 measurement indicators are set and BIM model automatic verification and rule checks are adopted; in the construction phase, 58 measurement indicators are set and data is collected in real time through IoT sensors; in the acceptance and delivery phase, 17 measurement indicators are set and virtual-real comparison is performed through BIM technology; statistical process control and cluster analysis algorithms are used to dynamically optimize the indicator weights, realizing data integration throughout the design-construction-delivery process. Step S3: Multi-level indicator mapping Through a multi-level indicator mapping module, management objectives are transformed into quantifiable execution parameters according to the mapping relationship of "objective-task-inspection point". Each performance domain in the performance domain layer is associated with a quantitative measurement function, which calculates the performance value of the next level of objective parameters or task parameters according to preset weights. The task layer is refined into 108 key tasks, and the inspection point layer is transformed into quantifiable execution points (QCPs). Boolean / percentage / rank quantitative models are used for scoring to achieve closed-loop quantitative management. Step S4: Application of core technologies in stages Through phased core technology modules, high-quality engineering design is achieved by implementing full-process construction planning, green design, stakeholder collaboration, and risk pre-control during the design phase; standardized construction is achieved during the construction phase through the technical parameter verification model of the first sample section and the three-inspection digital recording system, and dynamic management is achieved through video safety risk identification and smart environmental monitoring; during the acceptance and delivery phase, standardized formats and verification rules for digital assets are established to achieve simultaneous transfer of digital and physical assets, and the acceptance process is integrated through a collaborative platform to achieve multi-department collaboration. Step S5: Quantitative Measurement and Scoring The quantitative measurement and scoring module quantifies each task based on the completion status of the inspection points, generating task-level and performance domain-level scores. The formula for scoring a single task is as follows: ; in, Number the task. To meet the required number of inspection points, The number of partially compliant inspection points. Number of key inspection points that were not carried out; The formula for the average score of the performance domain is: ; in, Number the performance domain. The number of tasks included in this performance domain; the overall management level is output based on the four-level rating system. Step S6: Stakeholder Collaboration Measurement Through the stakeholder collaboration measurement module, stakeholders in the approval and supervision, construction and implementation, operation and use, and public categories are identified. Needs, information, progress and feedback are collected through the digital collaboration platform, and a horizontal collaboration evaluation and vertical responsibility transfer mechanism is established to generate a stakeholder performance index and achieve multi-level comprehensive measurement. Step S7: Feedback and Improvement Through the feedback and improvement mechanism module, the operation analysis unit generates stage performance curves based on the time sequence analysis of construction data, deviation identification, and process quality anomaly identification; the index adjustment unit optimizes index thresholds based on problem frequency; the standard extraction unit solidifies the stable measurement performance tasks into basic standards, transforms "not fully compliant" tasks into improvement standards, and converts high-frequency problems into special standards, thus realizing closed-loop management from measurement to standardization.

[0044] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0045] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0046] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An airport full-cycle performance measurement system based on the eight performance domains of PMBOK, characterized in that, It includes an overall framework construction module, a phased measurement model module, a multi-level indicator mapping module, and a quantitative measurement and scoring module; The overall framework construction module is used to build a two-way integrated management and control framework that combines horizontal performance domains with vertical construction phases; The horizontal performance domains include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and the construction phase. The phased measurement model module is used to establish corresponding measurement models for the design phase, construction phase, and acceptance and delivery phase, and to perform calculations based on the engineering operation status data formed in each phase to generate phased measurement results. The multi-level indicator structure module includes a performance domain layer, a target layer, a task layer, and an inspection point layer, which are used to transform the management target mapping relationship into quantifiable execution parameters. The quantitative measurement and scoring module performs quantitative calculations on each task based on the completion status of the inspection points, generates task-level scores and performance domain-level scores, and outputs the overall management level according to preset level rules. The overall framework construction module, phased measurement model module, multi-level indicator mapping module, and quantitative measurement and scoring module work together to achieve standardized and quantifiable measurement of ultra-large airport engineering projects from design, construction to acceptance and delivery stages.

2. An airport full-cycle performance measurement system based on the eight performance domains of PMBOK, characterized in that, It includes an overall framework construction module, a phased measurement model module, a multi-level indicator mapping module, and a quantitative measurement and scoring module; The overall framework construction module is used to build a two-way integrated management and control framework that combines horizontal performance domains with vertical construction phases; The horizontal performance domains include stakeholder management, team management, construction process management, planning management, task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and the construction phase. The phased measurement model module is used to establish corresponding measurement models for the design phase, construction phase, and acceptance and delivery phase, and to perform calculations based on the engineering operation status data formed in each phase to generate phased measurement results. The multi-level indicator structure module includes a performance domain layer, a target layer, a task layer, and an inspection point layer, which are used to transform the management target mapping relationship into quantifiable execution parameters. The quantitative measurement and scoring module performs quantitative calculations on each task based on the completion status of the inspection points, generates task-level scores and performance domain-level scores, and outputs the overall management level according to preset level rules. The overall framework construction module, phased measurement model module, multi-level indicator mapping module, and quantitative measurement and scoring module work together to achieve standardized and quantifiable measurement of ultra-large airport engineering projects from design, construction to acceptance and delivery stages.

3. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 1, characterized in that, The quantitative measurement and scoring module establishes a comprehensive quantitative measurement system based on differentiated assessment method adaptation, standardized scoring formulas, four-level grading, and measurement result traceability. This system comprises three assessment methods, two-level scoring formulas, and four-level grading. The standardized scoring formulas are used to quantify individual tasks, resulting in individual task scores. Using the following formula: ； in, Number the task. To meet the required number of inspection points, The number of partially compliant inspection points. This represents the number of key inspection points that were not yet carried out.

4. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 3, characterized in that, The formula for the average score of the performance domain is: ； Where j is the performance domain number and N is the number of tasks contained in the performance domain; Based on individual task scores and average performance domain scores, the overall management level is output through a four-level rating module, including "Excellent (A+)", "Compliant (A)", "Improvement (B)" and "Unqualified (C)". Individual task levels are divided into "fully compliant, basically compliant, partially compliant, and non-compliant", and performance domain levels are evaluated based on the completion of tasks within the domain, thus forming a standardized, quantifiable, and traceable overall management level covering the entire life cycle of the mega-airport project.

5. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 3, characterized in that, The quantitative measurement and scoring module also includes a result traceability unit. When measuring and scoring, the result traceability unit associates and records the original inspection evidence on which the score is based. The original inspection evidence includes at least the information of the evaluator, the evaluation time, the associated electronic documents, on-site photos and inspection records, so as to form a traceable measurement and evaluation file.

6. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 1, characterized in that, In the multi-level indicator structure module, each performance domain of the performance domain layer is associated with a quantitative measurement function. The quantitative measurement function is used to calculate the performance value of the performance domain by weighting the target parameters or task parameters of the next level according to preset weights.

7. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 1, characterized in that, It also includes a phased core technology measures module, which is used to adopt collaborative design and simulation analysis technology based on building information model in the design phase, digital construction record and intelligent monitoring technology in the construction phase, and digital asset verification and collaborative acceptance technology in the acceptance and delivery phase.

8. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 1, characterized in that, It also includes a stakeholder collaboration measurement module, which is used to realize data interaction, responsibility allocation and collaboration status measurement between different participating entities on a unified identity authentication digital platform.

9. The airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claim 1, characterized in that, It also includes a feedback and improvement mechanism module, which is used to perform statistical analysis on the measurement results, identify abnormal states and dynamically adjust the measurement parameters, and solidify the stable and compliant measurement results into standardized control rules. Among them, the modules are linked together through data interfaces, thereby realizing the standardization, automation and traceability management of the entire life cycle of the mega-scale engineering project.

10. An application method for an airport full-cycle performance measurement system based on the eight performance domains of PMBOK as described in claims 1-9, characterized in that, Includes the following steps: Step S1: Overall Framework Construction Through the overall framework construction module, a two-way integrated management and control framework combining horizontal performance domains and vertical construction phases is constructed. The horizontal performance domains include stakeholder management, team management, construction process management, planning management, work task management, delivery management, assessment management, and risk management. The vertical construction phases include the design phase, construction phase, and acceptance and delivery phase. A matrix data structure is used to store the mapping relationship between each performance domain and construction phase. The Delphi method is used for a three-level logical design of "key objective screening - work task matching - check point setting". Core key objectives are screened from the initial pool to form a rule engine to achieve the adaptation of performance domains and project phases. Step S2: Establishing a phased measurement model Through a phased measurement model module, measurement models are established for the design, construction, and acceptance and delivery phases. In the design phase, 33 measurement indicators are set and BIM model automatic verification and rule checks are adopted; in the construction phase, 58 measurement indicators are set and data is collected in real time through IoT sensors; in the acceptance and delivery phase, 17 measurement indicators are set and virtual-real comparison is performed through BIM technology; statistical process control and cluster analysis algorithms are used to dynamically optimize the indicator weights, realizing data integration throughout the design-construction-delivery process. Step S3: Multi-level indicator mapping Through a multi-level indicator mapping module, management objectives are transformed into quantifiable execution parameters according to the mapping relationship of "objective-task-inspection points". Each performance domain in the performance domain layer is associated with a quantitative measurement function, which calculates the performance value of the next level of objective parameters or task parameters according to preset weights. The task layer is refined into 108 key tasks, and the inspection point layer is transformed into quantifiable execution points. Boolean / percentage / rank quantitative models are used for scoring to achieve closed-loop quantitative management. Step S4: Application of core technologies in stages Through phased core technology modules, high-quality engineering design is achieved by implementing full-process construction planning, green design, stakeholder collaboration, and risk pre-control during the design phase; standardized construction is achieved during the construction phase through the technical parameter verification model of the first sample section and the three-inspection digital recording system, and dynamic management is achieved through video safety risk identification and smart environmental monitoring; during the acceptance and delivery phase, standardized formats and verification rules for digital assets are established to achieve simultaneous transfer of digital and physical assets, and the acceptance process is integrated through a collaborative platform to achieve multi-department collaboration. Step S5: Quantitative Measurement and Scoring The quantitative measurement and scoring module quantifies each task based on the completion status of the inspection points, generating task-level and performance domain-level scores. The formula for scoring a single task is as follows: ； in, Number the task. To meet the required number of inspection points, The number of partially compliant inspection points. Number of key inspection points that were not carried out; The formula for the average score of the performance domain is: ； Where j is the performance domain number and N is the number of tasks contained in the performance domain; the overall management level is output based on the four-level determination. Step S6: Stakeholder Collaboration Measurement Through the stakeholder collaboration measurement module, stakeholders in the approval and supervision, construction and implementation, operation and use, and public categories are identified. Needs, information, progress and feedback are collected through the digital collaboration platform, and a horizontal collaboration evaluation and vertical responsibility transfer mechanism is established to generate a stakeholder performance index and achieve multi-level comprehensive measurement. Step S7: Feedback and Improvement Through the feedback and improvement mechanism module, the operation analysis unit generates stage performance curves based on the time sequence analysis of construction data, deviation identification, and process quality anomaly identification; the index adjustment unit optimizes index thresholds based on problem frequency; the standard extraction unit solidifies the stable performance of the measurement tasks into basic standards, turns "not fully compliant" tasks into improvement standards, and transforms high-frequency problems into special standards, thus realizing closed-loop management from measurement to standardization.

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