155 results about "Construction planning" patented technology

The invention discloses a bridge management and maintenance decision-making system and method based on multi-agent collaborative optimization, and the system comprises a monitoring agent which is deployed in a cloud server and is used for obtaining abnormal data in a bridge structure and environment data; the diagnosis agent is used for evaluating the health state of the bridge by utilizing a built-in knowledge base, a built-in machine learning model and a built-in physical model based on the abnormal data; the decision-making agent is used for generating a plurality of candidate maintenance schemes based on an evaluation result, and screening out an optimal scheme by integrating the comprehensive utility of each scheme and the resource matching degree score of the resource scheduling agent on each scheme; the resource scheduling agent generates a construction plan according to the optimal scheme; the coordination / communication agent is used for ensuring efficient cooperation among the agents through a communication protocol and a negotiation mechanism among the agents; the diagnosis report, the optimal scheme and the construction plan are integrated and presented to a bridge manager through a human-computer interaction interface; and collaborative optimization of bridge management and maintenance decisions is realized through continuous feedback and self-learning.

The invention relates to the field of constructional engineering, and discloses an intelligent construction management and control method for constructional engineering, which comprises the steps of collecting multi-dimensional data of a building construction site, including construction progress data, personnel positioning information, an equipment operation state and site environment parameters, and constructing a construction behavior feature data set in combination with a multi-source data fusion algorithm; performing automatic structured analysis on the construction behavior feature data set, constructing a construction process modeling framework based on a hierarchical feature clustering method, and introducing a dynamic feedback learning mechanism to perform adaptive optimization on a modeling result; judging whether the optimization process is stable or not according to the evolution trend of the process model, and if so, recording the stage state of the current construction process feature; and based on the corrected construction plan path, performing disturbance factor correction on the prediction progress by applying a multi-scale construction simulation algorithm, extracting corresponding control parameters, and performing intelligent adjustment on prediction nodes. The method has the advantage of improving intelligent construction management.

The invention relates to the technical field of data processing, in particular to a construction progress and resource collaborative prediction data processing method and related products, and the method comprises the steps: constructing a BIM knowledge graph; monitoring the real-time dynamic data in real time, and generating a multi-dimensional risk prediction vector if a risk event deviating from a construction plan is recognized; constructing a multi-objective optimization model, and solving to generate a collaborative optimization strategy; executing a collaborative optimization strategy, updating the construction progress plan and the resource allocation plan, and synchronously updating the BIM knowledge graph; according to the method, the BIM knowledge graph fused with the multi-source heterogeneous data is constructed, the information barrier between traditional BIM design data and field execution data is broken through, and the future time and cost deviation is predicted in a quantitative mode by performing linkage influence propagation simulation on risk events, so that the risk events are predicted more accurately. Project management is converted from a traditional'post remedy 'mode to a'pre-control' mode.

The invention provides a visual operation and maintenance method and a visual operation and maintenance system for hidden pipelines of a building by using an AR (Augmented Reality) technology. The method comprises the following steps: receiving input engineering construction plan information of a target area, and evaluating based on the engineering construction plan information to obtain a construction type and type definition of a sub-area aligned with a current AR visual angle; determining a display depth based on the construction type and the type definition of the sub-region, and determining a hidden pipeline group to be displayed according to the display depth in a model region corresponding to the current AR visual angle in the building pipeline BIM model; and outputting and displaying the hidden pipeline group in the AR equipment. The method can effectively solve the problem that the existing AR technology is difficult to dynamically regulate and control the pipeline display depth, enables the pipeline display to more accurately meet the construction requirements, improves the accuracy and efficiency of construction planning, and reduces the risk of mistakenly touching the pipeline.

The invention discloses a BIM-based building construction monitoring method, and the method comprises the steps: arranging a data collection device at a construction site, and obtaining multi-source data, such as structural members, construction machinery, spatial positions of operators, construction states, safety indexes and environmental parameters; automatically mapping multi-source data to a BIM three-dimensional model through an adaptive coordinate transformation and semantic recognition algorithm, matching the multi-source data with construction plan nodes, and generating a BIM construction state model reflecting a field state in real time; the system automatically compares the model with a construction plan model, identifies a state and calculates deviations such as progress, position, size, quality and safety; the method comprises the following steps: displaying deviation parts and potential safety hazards in a BIM interface in a highlight manner, superposing rectification suggestions, issuing a construction adjustment instruction confirmed by a manager to a field terminal, and storing monitoring, comparison, early warning and processing records in a database according to a time sequence to form a digital file; and real-time intelligent monitoring and visual management of construction progress, quality and safety are realized.

The invention relates to the technical field of project management intelligent decision making, in particular to a project management intelligent decision making system integrating multi-target resource scheduling optimization. The system comprises an equipment state sensing module, an environment monitoring module, a data acquisition module, a conflict evaluation module and a dynamic decision module. The equipment state sensing module is used for collecting operation parameters of key construction equipment in real time, wherein the operation parameters comprise equipment real-time position coordinates, actual speed, fault early warning coefficients, actual working time and actual completion time. The data acquisition module is used for acquiring supply chain data and construction plan data. The equipment state sensing module, the data acquisition module and the environment monitoring module are arranged for cooperative use, so that the system can automatically sense environment changes such as wind speed and wind direction, the equipment offset risk is calculated through the conflict evaluation module in real time, and meanwhile, the resource scheduling instruction is generated, so that the error correction response time is greatly shortened, and the error correction efficiency is improved. And meanwhile, the delay time of the construction period is reduced.

The invention relates to the technical field of municipal planning, in particular to a BIM + GIS-based municipal underground pipe network intelligent planning and conflict avoidance system and method, and the system comprises a BIM-GIS data fusion module which is used for integrating a BIM model and GIS topographic data; the construction process association module is used for analyzing the construction plan to generate a dynamic construction progress table, and constructing a directed graph based on the spatial position relationship of each construction unit in the BIM model; the conflict prediction and avoidance module is used for calculating the space conflict probability of the temporary pipe network and the permanent pipe network in real time in combination with the directed graph and GIS topographic data; the land-saving optimization module is used for carrying out iterative optimization on the temporary pipe network layout through a genetic algorithm based on GIS topographic data and construction area boundary constraints so as to minimize the total length and the occupied area of the temporary pipe network; and the dynamic visualization interaction module is used for providing a three-dimensional BIM-GIS fusion view. According to the method, management and control from static design to dynamic construction are achieved, and the scientificity of underground pipe network planning and the land resource utilization efficiency are improved.

The invention relates to a geographic information technology, and discloses a smart city planning management method and system based on digital twinning, and the method comprises the steps: obtaining a multi-dimensional city data set of a target city, constructing a park demand intensity atlas according to the multi-dimensional city data set, recognizing a preset number of candidate regions through the park demand intensity atlas, and carrying out the recognition of the preset number of candidate regions; the method comprises the steps of obtaining a multi-dimensional city data set of a target city, obtaining a candidate region set, constructing a digital twinborn body of the target city according to the multi-dimensional city data set, obtaining a city digital twinborn model, carrying out traffic accessibility analysis on each candidate region in the candidate region set by using the city digital twinborn model, and obtaining a traffic accessibility score set, and selecting an optimal candidate area in the candidate area set according to the accessibility score set, and performing urban park construction planning according to the optimal candidate area. According to the invention, the scientificity of park site selection in urban planning can be improved.

The invention discloses a construction data management system and method for intelligent building mechanical and electrical installation, and relates to the technical field of intelligent construction, and the method comprises the steps: collecting the multi-source data of a construction site, carrying out the real-time analysis and matching, recognizing a disturbance event, and associating to a corresponding component of a BIM model and a construction plan target process; extracting resource information, calculating the influence of disturbance on subsequent processes, and generating a coupled digital twinborn model; progress and resource deviation analysis is carried out, the construction scheme change influence is simulated, and a comprehensive deviation report is output; calling a knowledge base historical scheme, generating a correction scheme in combination with a current resource state, simulating an implementation effect, and executing after examination and approval; and monitoring the execution of the correction scheme in real time, comparing the actual progress, updating the knowledge base and the BIM model, and forming reusable experience entries.

The invention relates to the field of construction engineering project management, in particular to an infrastructure engineering project management system based on big data. The method comprises the steps of obtaining multi-modal engineering project data in a system, performing space-time alignment on the multi-modal engineering project data, processing abnormal values in the aligned data to obtain complete engineering project data, performing multi-modal fusion on the complete engineering project data, and constructing a feature library of the fused engineering project data. And establishing a ResNet-Transform risk prediction model, optimizing hyper-parameters of the model by using an IWOA improved whale optimization algorithm, inputting the feature engineering project data into the target risk prediction model for prediction, and performing construction planning based on the construction engineering project state. The problem of data islands is solved, a complete data set covering engineering total elements is formed, the system can automatically trigger a hierarchical response strategy, and closed-loop management from risk identification to planning adjustment is achieved.

The invention discloses a regional wind speed meteorological reference station representativeness evaluation method based on a correlation function field, a medium and a program product. The regional wind speed meteorological reference station representativeness evaluation method comprises the following steps: collecting multi-year day-by-day wind speed data of a high-density meteorological observation station in a target region and environment information of the observation point; selecting an independent sample of day-by-day wind speed data in each same time period in the region; establishing a correlation function field between every two stations, and fitting a relation model of correlation functions and distances; estimating a standardized observation random mean square error; calculating the relative standard deviation generated by replacing the target point wind speed truth value data with the reference station wind speed observation data; and evaluating the excellent grade of the spatial distance range represented by the wind speed of the reference station. The method can achieve the good representative evaluation of the reference station in the distance range, and has important practical values for the selection of a reliable meteorological reference station in the climate feasibility demonstration of wind power development site selection, urban and rural construction planning and the like, the evaluation of extreme climate risks and the calculation of the accuracy of engineering meteorological parameters.

The invention is suitable for the technical field of unmanned aerial vehicle routing inspection, and provides a water conservancy and hydropower building construction self-adaptive routing inspection unmanned aerial vehicle path planning method and system, and the method comprises the following steps: building a dynamic four-dimensional environment model based on an airborne multi-source sensor of an unmanned aerial vehicle and construction plan data; based on the dynamic four-dimensional environment model, a preset key inspection point and a path fitting algorithm, generating a three-dimensional space path matched with the surface form of the terrain building; when the unmanned aerial vehicle executes an inspection task, sensing environment change in real time, and when an unforeseen obstacle is recognized or dynamic update sent by a construction BIM management system is received, performing local path re-planning based on a composite cost function; according to the invention, the environment information and the construction plan data acquired by the airborne multi-source sensor of the unmanned aerial vehicle can be fused in real time, and the dynamic change of the construction environment is accurately reflected. And local path re-planning is carried out based on the composite cost function, so that the unmanned aerial vehicle can avoid obstacles in time, and smooth completion of an inspection task is ensured.

The invention relates to the technical field of building construction, in particular to an intelligent scheduling building construction progress optimization method, which comprises the following steps of: acquiring construction environment data in real time by utilizing a sensor network, and dynamically evaluating a resource state in combination with a historical record and a task list; generating an initial construction plan by using a multi-objective optimization algorithm, and performing real-time correction through a fuzzy logic dynamic adjustment mechanism; the resource use condition is monitored by means of Internet of Things equipment, and a data optimization strategy is fed back; and finally determining the arrangement by comparing the optimization plan with the actual progress. The method can significantly improve the accuracy and timeliness of the construction plan, cope with a complex environment, reduce human intervention, ensure that key tasks are completed preferentially, and improve the construction efficiency and the resource utilization rate.

The invention discloses a closely-attached operation station construction simulation model device, and relates to the field of construction simulation, the closely-attached operation station construction simulation model device comprises a profile steel frame, a construction simulation box and a data acquisition module, the inner wall of the profile steel frame is fixedly connected with a lifting mechanism, one side of the lifting mechanism is fixedly connected with the lower side of the construction simulation box, and the other side of the lifting mechanism is fixedly connected with the data acquisition module; and a construction simulation bin is arranged in the construction simulation box. The geological environment is simulated in the construction simulation cabin according to the proportion, the simulation construction test is carried out on the simulation model in the construction simulation cabin according to the construction steps and the construction plan, the process and the result of the simulation construction test can be clearly observed, and after the analysis of the data acquisition module is finished, the data acquisition module can acquire the data. The soil in the transfer bin is backfilled into the construction simulation bin under the movement of the transverse moving mechanism, the movable construction mechanism and the telescopic excavation assembly, and the next test is carried out again, so that repeated tests are facilitated, the test precision can be improved, and reference data are provided for real construction.

An automation system manages operations of a fleet of robotic devices at a construction site. The system receives a construction plan including site data and a list of tasks with dependencies. Based on the plan, the system generates a virtual representation of the construction site and allocates tasks to individual robotic devices. Each robotic device transmits operational status data and sensor data, which is received by the system and used to update the virtual representation. The updated representation reflects the status of each task and incorporates real-time site information. The system generates a visualization of the virtual representation and transmits it to a client device operated by a user, causing the visualization to be presented on the client device.

This invention discloses a collaborative control system and method for construction equipment based on digital twins, belonging to the field of collaborative control technology for construction equipment. The invention includes: S10: obtaining a real-time construction simulation model of the construction site; S20: determining the risk control points to be constructed in the construction plan; S30: finding the associated marked intelligent construction equipment for the risk control points; S40: determining the collaborative construction control benchmark between the risk control points and each associated marked intelligent construction equipment; S50: performing collaborative control of the associated marked intelligent construction equipment for the risk control points. This invention, by determining the collaborative construction control benchmark between the target intelligent construction equipment and each associated marked intelligent construction equipment, determines the control timing and sequence of the central control platform for each associated marked intelligent construction equipment, thereby achieving collaborative control of intelligent construction equipment during the construction rectification process.

The invention discloses a building construction progress optimization system based on a BIM technology, and relates to the technical field of building construction, and the system comprises a basic connection layer, a mobile terminal of an operator, a PC terminal of a manager, and a WEB network terminal of an external person. A progress plan compiling unit compiles a construction plan, and a BIM data storage unit stores a BIM model; the data service layer is provided with a contact data interface module, a data loading module for extracting data of the data support layer, a BIM model processing module for analyzing and mapping the BIM data storage unit, and a progress monitoring and early warning module for monitoring and early warning the progress of the progress planning unit; the resource optimization scheduling module is used for optimizing the BIM data storage unit; the data analysis and report module is used for performing data analysis; the information database is used for storing structured data; the data database is used for storing other data; and the BIM special database is used for storing the BIM data. The device is reasonable in design structure, and the building construction progress can be accelerated.

The invention relates to the technical field of highway engineering construction management, and discloses a highway engineering solid waste output prediction and scheduling processing system based on BIM, and the system comprises a multi-source data access and BIM fusion module which is used for analyzing a BIM model and a 4D construction plan; the construction process entropy dynamic calculation module is used for receiving the activity instance data packet, and is based on a preset entropy factor model; the material state migration network construction and evolution module is used for constructing the entropy value according to the construction process; the solid waste form and resource portrait prediction module is used for carrying out probability simulation deduction on the evolved material state migration network; and the event driving and self-adaptive scheduling decision module is used for monitoring a scheduling event triggered by the resource demand portrait or the field real-time data. By quantifying the construction uncertainty and driving the probability prediction model, the conversion from passive clearing to active pre-scheduling is realized, and the efficiency and accuracy of solid waste management are remarkably improved.

The application discloses a kind of central urban digital life circle boundary identification method, system, equipment and medium, the method includes: obtaining the distribution data of various digital facilities in study area, the coverage of various digital facilities is calculated, as life service digital level evaluation index;Obtain population cultural level data and mobile signal base station distribution data in study area, calculate the life service digital potential index in study area;Determine the center word of each index, and match several related words for each center word by corpus retrieval, the word frequency of each related word in official document is counted;According to the word frequency of each related word in official document, the weight order of each index is determined by high-dimensional sorting weight method;According to each index and the weight order of each index, the digital life circle boundary identification result is obtained by dual linear programming calculation.The present application is helpful to improve the pertinence and rationality of urban digital construction planning decision.

The application discloses a kind of green mine construction planning methods based on three-dimensional modeling, it is related to mine construction technical field, including, according to the initialization package of planning framework, voxel integration is carried out, and the voxel attribute field is obtained, the uncertainty of voxel attribute field is calculated, and the confidence degree body is obtained, the transparent superposition is carried out to voxel attribute field and confidence degree body, and the three-dimensional scene output package is obtained;Feasibility constraint is carried out to three-dimensional scene output package, and reconstruction is carried out to the voxel boundary reconstruction of back transmission mining, and generation stage candidate planning input package is generated;According to stage candidate planning input package, change detection is carried out, and multi-channel voxel change body is generated, and propagation calculation is carried out, and the eventization influence domain is obtained, voxel level object mapping is carried out to eventization influence domain, and the affected object list is obtained;Based on affected object list, engineering layout element is planned and optimized, and integrated planning achievement package is obtained.The application improves the reliability and spatial consistency of stage planning scheme input data in mining process.

This invention relates to the field of supervision technology, specifically to a supervision information platform for intelligent identification and process-oriented management of critical engineering projects. It includes a construction scenario simulation unit, a critical node marking unit, a multi-scenario fusion and comparison unit, and an early warning data display unit. This invention facilitates standardized modeling and process demonstration, supporting construction planning, resource allocation, and progress management. It combines real-time data with AI models to dynamically identify risk points during construction, provide early warnings, reduce safety accidents, and improve identification accuracy and automation. Simultaneously, multi-source monitoring data fusion and image comparison enable automatic deviation identification. Based on historical stage models and early warning data, it can be used for project review, problem tracing, and construction optimization. Furthermore, intelligent push notifications and dynamic displays improve supervision response efficiency and transparency, while graphical displays facilitate communication and collaboration among personnel from different professions and positions.

The invention discloses a rural capital construction risk assessment method and system based on a digital twinborn technology, and belongs to the field of capital construction planning, and the method comprises the steps: digital twinborn modeling: mapping physical entity data s, environment data e, social data p and policy data c into a dynamically updated digital twinborn body; dynamic weight distribution: carrying out dynamic weight adjustment on the risks of the four dimensions by using an entropy weight method to obtain a dimension dynamic weight of each dimension; carrying out coupling risk modeling, respectively calculating dynamic risk values of the four kinds of data, and combining dimension dynamic weight coupling to obtain a comprehensive risk index; and generating an optimal scheme, simulating different intervention measures on the digital twin, calculating a comprehensive risk index after implementation of the different intervention measures, and finally obtaining the optimal scheme.

The invention discloses a railway business line construction safety unmanned aerial vehicle automatic patrol method and system. The method comprises the following steps: acquiring a railway business line map by utilizing a GIS (Geographic Information System), delimiting a business line expression area and constructing an unmanned aerial vehicle pre-patrol path; when the unmanned aerial vehicle carries out pre-patrol, topographic features are recorded through a camera module and a laser detection module, image data and three-dimensional point cloud data are obtained, and geographic position alignment is carried out; dividing construction risk blocks in combination with the image data and the three-dimensional point cloud data, and determining a first patrol weight parameter based on a block area and a construction influence parameter; obtaining a construction plan, determining a construction area, a construction type and a project amount, determining a second patrol weight parameter based on the overlapping characteristics of the construction area and the construction risk block, and determining a third patrol weight parameter in combination with the construction type and the project amount; and planning an unmanned aerial vehicle construction patrol route based on the third patrol weight parameter. According to the invention, through automatic patrol and multi-dimensional data analysis of the unmanned aerial vehicle, accurate monitoring and efficient management of construction safety of the railway business line are realized.

This application relates to the field of intelligent construction and engineering management technology, and discloses an automatic generation system for construction site engineering documents based on multimodal information acquisition. The system includes modules for on-site perception and acquisition, data transmission network, cloud-based core processing, and user interaction terminal. Based on a BIM model and construction plan, the system constructs a dynamic causal event graph. Utilizing spatiotemporal semantic anchors and multimodal projection mapping technology, it accurately associates on-site collected images and sensor data with process event nodes. A cloud-based logic verification service module calculates the completeness status of event nodes in real time. When a missing evidence chain is detected, it proactively generates reverse control commands to schedule on-site equipment to complete the data. After the node status is complete, the system automatically extracts data, generates standardized documents, and uploads them to the blockchain for storage. This invention solves the problems of semantic discrepancies in construction data, missing logical verification, and low document reliability, achieving automated closed-loop generation and reliable delivery of engineering documents.

The application provides a railway construction whole-process digital collaborative management and control platform, and belongs to the field of construction safety, and comprises the following steps: acquiring construction plan data through a service end, and generating a construction task according to the construction plan data; when entering, acquiring a personnel recognition result in a video of a channel door camera, judging the personnel recognition result according to the construction task, and opening the channel door; after opening, acquiring positioning data of a mobile client and a wearable device and corresponding electronic fence information, and performing early warning according to the positioning data and the electronic fence information; when exiting, acquiring exit counting information and task end information of the mobile client, and performing task end recording. Through the above technical scheme, the multi-role whole-process collaborative safety construction degree in railway construction can be improved.

This invention provides a method and system for compiling a construction plan for heavy-haul railways that considers capacity matching, relating to the field of computer technology. The method includes: acquiring transportation demand parameters, train technical parameters, maintenance window setting parameters, maintenance window opening cost parameters, and construction and maintenance task parameters within the planning period of the heavy-haul railway; dynamically adapting the maintenance window duration based on the transportation demand parameters, train technical parameters, maintenance window setting parameters, and maintenance window opening cost parameters to obtain a maintenance window duration setting scheme; optimizing the construction task scheduling based on the construction and maintenance task parameters and the maintenance window duration setting scheme to obtain a construction task allocation and scheduling scheme, and calculating the construction task completion rate; and performing a two-layer collaborative iterative optimization based on the construction task completion rate to obtain the final maintenance window setting and construction plan scheme. This invention achieves the synergistic goals of precise guarantee of freight demand, efficient utilization of transportation capacity resources, and orderly progress of construction tasks.

The application discloses a kind of mass geophysical prospecting data storage retrieval and drawing method in mobile terminal map under offline state, it includes: (1) mobile terminal geophysical prospecting data is stored using embedded relational database sqlite, and table is respectively built according to project, view level;(2) when map program runs, according to the level of map display, view range, project authority in lower level, retrieve, render data in the data table of corresponding level;In high level range, only render all line data that meet the conditions according to project authority;(3) when user carries out map zooming, moving operation each time, first retrieve operation of geophysical prospecting data is carried out, according to the result of retrieval, drawing is carried out in batch in different layers;(4) the default map range of first opening of map application is controlled.The application can bring very intuitive efficiency improvement to construction planning management, vehicle mobile navigation, efficient production organization of geophysical prospecting project, the prospect is very broad, and it has very important significance.

The present application relates to a kind of multifunctional inspection delivery vehicle, belong to electric power material inspection technical field.It includes inspection frame board, equipment support gauge area for being used to inspect equipment support quality, transformer rack gauge area for being used to inspect transformer rack quality, cross arm gauge area for being used to inspect cross arm quality, pull plate gauge area for being used to inspect pull plate quality, pushable and pullable connecting iron gauge for being used to inspect connecting iron length, connecting iron gauge for being used to inspect connecting iron thickness, pushable and pullable hoop gauge for being used to inspect hoop quality, wherein equipment support gauge area, transformer rack gauge area, cross arm gauge area, pull plate gauge area length direction at least one end is equipped with limit mechanism.The present application can satisfy the kind requirement of complete double-pole frame transformer accessory, not only solve the problem of warehouse staff in the inspection product quality and inventory delivery aspect, but also can carry out the accuracy of ironwork for construction plan, shorten construction personnel material time.

The application discloses a kind of for rigid space steel structure's assembly and welding method, including S1, modular decomposition and pre-assembly: based on BIM platform, steel corridor is modeled three-dimensionally, after the overall structure is decomposed into several standardized modules, laser is used to verify.The application realizes accurate construction planning and real-time adjustment by the application of BIM modeling and simulation technology, BIM technology optimizes component decomposition, pre-assembly and installation sequence, so that construction personnel can operate according to accurate digital model, improve the accuracy of component docking, simulation system predicts welding deformation and provides compensation strategy, ensure that the quality of weld is stable, avoid structural deformation caused by welding stress, at the same time, high-altitude module digital system monitors installation deviation in real time, and is adjusted by intelligent control algorithm, so that module positioning accuracy is controlled within 1cm, ensure the stability and installation accuracy of overall structure, improve construction quality, reduce rework rate.

This invention discloses a method for monitoring and managing the operational environment at power infrastructure construction sites, belonging to the fields of intelligent decision-making technology and power safety management. It includes: constructing a semantic network framework based on the construction plan; collecting and calibrating multi-source environmental data to generate a reliable dataset; generating a real-time risk network diagram based on the semantic framework and the reliable dataset; calculating robust risk indicators and performing sensitivity deconstruction; generating closed-loop intervention instructions when risk indicators exceed safety thresholds; and finally, iteratively optimizing the entire system by collecting feedback and generating a reusable intelligent template library across projects. This invention employs a comprehensive technical approach combining semantic modeling, causal inference, and closed-loop adaptive optimization, enabling deep analysis of operational scenarios, proactive quantification and attribution of potential risks, and intelligent generation of optimal intervention strategies. This significantly improves the intelligence, precision, and forward-looking nature of on-site safety management in power infrastructure construction.