844 results about "Construction management" patented technology

The invention provides an information system engineering supervision project risk adaptive assessment method and system. According to the project management scheme, a dynamic knowledge graph is formed by constructing a data model fusing a building information model and a geographic information system. The three-dimensional coordinate track of the construction machinery is captured in real time by using an ultra wide band positioning device array, and the space occupied hot area distribution is generated by using a multipath interference suppression technology. An operation simulation environment is established based on a digital twinning technology, and a space-time risk topology network is established to early warn path conflicts and safety spacing problems. And according to network node density characteristics, dynamically adjusting a risk assessment parameter weight, and assessing an equipment collision probability and a construction process conflict index. Finally, the stress threshold value and the signal sampling frequency are adjusted according to the composite risk level result feedback, and construction management and safety guarantee are optimized. According to the technical scheme provided by the invention, the efficiency and safety of information system engineering supervision project risk adaptive assessment can be improved.

The invention provides a shield intelligent auxiliary type selection system and method based on a large language model. The model selection system comprises a data input module, a rule knowledge base module, a large model reasoning module and a result generation module. The integrated decision-making system integrating a rule knowledge base, a deep learning model and expert system logic is constructed for the practical problems of complicated geological conditions, multiple rule constraints, high expert dependency and the like in shield construction, and the system combines a structured model selection rule and historical case data, and has the advantages of intelligence, standardization, self-learning, high efficiency and the like. The problems of low efficiency, high subjectivity, insufficient intelligent degree and the like of the existing shield tunneling machine model selection depending on artificial experience and partial standardized guide are solved, and the transformation of shield construction management from artificial experience to intelligent decision can be promoted.

The invention relates to the technical field of ultra-high performance concrete detection, in particular to an ultra-high performance concrete construction process detection and analysis system based on multi-source data fusion. According to the technical scheme, the system comprises a multi-physics field sensing network, a heterogeneous data fusion engine, an intelligent diagnosis and analysis system and a visual decision support platform, and the multi-physics field sensing network is composed of multi-modal sensors deployed in links of raw materials, stirring, transportation, pouring and maintenance; and cross-scale data acquisition and heterogeneous data fusion engines from nanoscale interface reaction to meter-scale structure morphology are realized. Cross-scale and multi-physics-field comprehensive monitoring is achieved through the multi-physics-field sensing network, efficient data processing and analysis are conducted through the heterogeneous data fusion engine, construction quality dynamic evaluation is conducted through the intelligent diagnosis and analysis system, and scientific decision making and construction management are assisted through the visual decision support platform. Therefore, the construction quality is improved, the construction process is optimized, the construction risk is reduced, and comprehensive guarantee is provided for ultra-high performance concrete construction.

The invention relates to the technical field of engineering management and control, in particular to an electric power engineering construction management and control method and system based on digital twinning. The method comprises the following steps: acquiring heterogeneous sensing data of a construction area, and carrying out dynamic modeling on a structural member to obtain a member-level digital twin grid; performing environmental factor-material performance response coupling based on the component-level digital twin grid to obtain a material environmental response distribution diagram; component environment sensitivity dynamic injection is carried out according to the component-level digital twin grids, and a construction process dynamic map is obtained; performing multi-mode construction state field deduction based on the construction process dynamic map to obtain a construction state evolution distribution field; and performing reversible process scheduling optimization and simulation according to the construction state evolution distribution map to obtain a reversible scheduling optimization map. The efficiency of electric power engineering construction and the resource utilization rate can be improved.

The invention provides a building construction scheme intelligent auditing system based on a large model, and belongs to the field of building construction. According to the technical scheme, the method comprises the steps that a construction scheme template library and a building construction standard specification library are constructed, a building specification knowledge graph is constructed, a to-be-audited construction scheme document is received and subjected to structural division and preprocessing, semantic vector data are obtained, matching operation is conducted on the semantic vector data and graph nodes in the building specification knowledge graph, and the graph nodes in the building specification knowledge graph are obtained; and outputting audit target data, analyzing and generating an analysis result data structure based on the audit target data, generating an audit report according to an analysis result, and completing recording and tracking of an audit process. The method has the beneficial effects that automatic auditing and whole-process tracking of the construction scheme are realized by constructing the structured template and the standard specification knowledge graph in combination with semantic vector matching and rule work efficiency comparison, the accuracy, consistency and efficiency of auditing are effectively improved, and the informatization and intelligence level of building construction management is remarkably enhanced.

The invention relates to the technical field of engineering construction management and control, in particular to an engineering construction management and control method and system based on digital twinning. The method comprises the following steps: acquiring real-time construction engineering data and regional environment data, identifying a real-time structured construction state and generating a three-dimensional simulation model, then acquiring a target construction engineering plan and performing process node positioning to calculate a real-time engineering progress deviation, performing compensation simulation based on the deviation, and determining an engineering construction development trend. And then environment constraint mapping and resource conflict analysis are performed to generate corresponding data, and an optimized construction path conforming to environment constraint and resource conditions is screened out through construction optimization path mining of the simulation model, so that the construction efficiency and the management level are improved. According to the invention, the competitiveness and sustainable development capability of the building industry are enhanced, and an efficient and transparent engineering management system is finally formed.

The invention relates to the technical field of building management, in particular to a BIM-based building construction management method and system and a medium. The method comprises the following steps: acquiring building structure data; a tower crane full-life-cycle BIM model is constructed based on the building structure data, wherein the tower crane full-life-cycle BIM model comprises three-dimensional parameterized information of a base embedded part, a tower body standard knot, a slewing mechanism and a suspension arm assembly; acquiring building construction environment data; carrying out tower crane installation optimization on the tower crane full-life-cycle BIM model by utilizing building construction environment data to obtain a tower crane installation scheme; and base stress distribution simulation is conducted on the tower crane full-life-cycle BIM model according to the tower crane installation scheme, and tower crane base stress distribution data are generated. According to the invention, by integrating the building structure and the construction environment data and combining real-time sensing monitoring and intelligent collaborative optimization, the accuracy and dispatchability of tower crane management in building construction are improved.

The invention provides a whole-process engineering consultation management design method, which comprises the following steps of: constructing a unified data exchange standard and protocol, converting heterogeneous data output by design tools of different professions and different units into a standardized data format, realizing seamless joint and real-time sharing of data through data middleware, eliminating data barriers, and improving the data exchange efficiency. The collaborative design efficiency is improved; according to the method, digital technologies such as BIM are adopted, a digital twin model of an engineering project is constructed in a design stage, a design scheme is deepened through virtual construction simulation and optimization, factors such as a construction process, construction procedures and resource allocation are fully considered, and the construction feasibility and economic rationality of design are improved; a collaborative mechanism of a design stage and a construction stage is established, experienced construction managers and technicians are invited to participate in design review, improvement suggestions and suggestions are provided from the construction perspective for a design scheme, a designer is helped to comprehensively understand construction requirements, and the design scheme is optimized.

The invention discloses a method and system for managing expressway construction based on a BIM technology. The method comprises the following steps: acquiring multi-modal data in expressway construction; constructing an environment-load-response multi-modal data fusion risk matrix by using a space-time correlation model; constructing an AI prediction model by using bridge motion signals and humidity and CO2 concentration data in the multi-modal data; dynamic risk early warning and hierarchical response are realized; the bridge vibration signals and thermal infrared imager data are utilized to analyze and identify invisible faults in highway construction; constructing a fault and health management scheme based on dynamic risk early warning, hierarchical response and invisible faults; performing construction simulation, conflict elimination and extreme working condition deduction by using the digital twin environment of the BIM technology; and according to a deduction result, carrying out highway construction abnormal area management through VR visualization. According to the scheme of the invention, the safety early warning, fault prediction and health management levels of highway construction can be improved.

The invention discloses a building engineering full life cycle resource intelligent scheduling system and method, and belongs to the technical field of building management, and the method specifically comprises the steps: collecting dynamic physical parameters of a component installation process in a construction stage; constructing a spatio-temporal index engine, associating the dynamic physical parameters to corresponding component nodes of the BIM model, and generating a spatio-temporal binding data unit; in an engineering operation and maintenance stage, monitoring operation state data of the component, and when an abnormal state is recognized, extracting current space coordinates of the abnormal component and activating a reverse traceability channel; taking the space coordinates of the abnormal components as retrieval anchor points, matching the space-time binding data units with the same space coordinates, and obtaining a dynamic physical parameter sequence in a construction stage; comparing and mapping the dynamic physical parameter sequence and the abnormal state, generating an operation and maintenance decision instruction set with a construction defect positioning identifier, and inputting a resource scheduling sequence; according to the method, the utilization rate of operation and maintenance decisions on construction stage data is remarkably improved.

The invention relates to the technical field of decoration construction management, and discloses a BIM-based decoration construction scene resource consumption simulation analysis method. The method comprises the following steps: firstly, creating a multi-dimensional BIM resource model, and integrating building information model data, real-time construction data flow and historical resource consumption records; identifying resource consumption characteristics through the model, and generating an initial resource allocation strategy set comprising material allocation, equipment scheduling and process priority schemes; receiving a user interaction instruction, and dynamically adjusting the initial strategy set; and finally, executing the adjusted strategy, and updating the multi-dimensional BIM resource model based on a result. Wherein the resource consumption feature comprises construction stage division, resource node dynamic weight calculation and space correlation correction operation. According to the method, by integrating multi-dimensional data and dynamically analyzing a resource consumption rule, real-time optimization of a resource allocation strategy is realized, and the accuracy and flexibility of decoration construction resource management can be improved.

The invention discloses an intelligent building construction operation management method based on big data, and belongs to the technical field of building construction management. Comprising the following steps: step 1, real-time data acquisition of construction site personnel, equipment and environment is realized, and a dynamic information database is established; 2, preprocessing and feature extraction are carried out on the collected multi-source heterogeneous data, and fusion and intelligent analysis of real-time data are achieved; step 3, accurately identifying risk factors and implementing refined early warning and intelligent intervention aiming at a single risk; 4, construction resource configuration is dynamically optimized, the resource utilization efficiency is improved, and meanwhile the cost and the safety risk are reduced; step 5, constructing a block chain data sharing mechanism, and realizing data tracing and intelligent management of a construction full life cycle; and step 6, forming a self-adaptive closed-loop feedback mechanism, and promoting intelligent transformation of construction management from passive response to active prediction.

The invention discloses a photovoltaic power station distributed construction management method and system based on load analysis, and the method comprises the steps: outputting a dynamic load intensity thermodynamic diagram according to the terrain elevation data, meteorological historical data and assembly mechanical parameters of a photovoltaic power station planning region; based on the dynamic load strength thermodynamic diagram, generating a construction zoning scheme for wind pressure resistance optimization; outputting a conflict-free construction resource allocation matrix according to the construction partitioning scheme; on the basis of the construction resource allocation matrix, construction parameters are dynamically corrected by adopting an adaptive particle swarm optimization algorithm, and an anti-deformation construction instruction set is generated; and driving the construction machinery to execute operation according to the anti-deformation construction instruction set, and iteratively updating the global load distribution map by using the reinforcement learning model to form a closed-loop construction management link. By utilizing the embodiment of the invention, the balance of construction precision and efficiency in a complex environment can be realized by fusing multi-source data, optimizing partition planning, intelligently scheduling equipment and controlling closed-loop quality.

The invention discloses a subgrade graded filling construction settlement prediction method and system, and relates to the technical field of subgrade construction.The subgrade graded filling construction settlement prediction system comprises a data sensing module, an edge calculation module, a central processor, an emergency decision module and a digital twinborn platform; non-linear working condition classification is carried out through an edge calculation module, complex working conditions are effectively identified, and the accuracy of working condition classification is improved; a mechanism that environmental factors indirectly influence settlement is disclosed through a central processor, the synergistic effect of environmental and geological factors is captured, then a hybrid prediction model is established to achieve quantitative evaluation of the roadbed filling state, and the adaptability to complex working conditions is improved; and then dynamic balance of settlement control and resource allocation is realized through an emergency decision module, visual support is provided for construction management through digital twinning and 3D modeling, decision efficiency and transparency are improved, and the method has important engineering application value and technical leading.

The invention belongs to the technical field of smart city construction and intelligent construction management, and particularly relates to an intelligent scheduling and cooperation system and method for the whole life cycle of city reconstruction. The system comprises an edge sensing layer, a digital twinning network module, a space-time brain module, a block chain collaborative trust layer and an XR collaborative interaction layer. The system collects multi-source data of a construction site in real time through a 5G edge device, realizes fusion modeling of BIM, GIS and TIN models by using a graph convolutional neural network, and performs multi-target scheduling optimization in combination with meta reinforcement learning and a dynamic graph neural network; and meanwhile, construction task verification and fund payment linkage is realized through a block chain smart contract, and immersive cooperation and visual acceptance are provided in cooperation with an AR / VR platform. According to the method, the problems of model splitting, scheduling response lagging, low data collaboration efficiency, insufficient credibility of the performance process and the like in the urban reconstruction project are solved, and the intelligence, transparency and automation level of the construction process is remarkably improved.

The invention discloses a tunnel full-period construction feature information fusion and quality tracing method and system, and the method comprises the steps: converting the construction data of a tunnel full period into construction feature information through constructing a digital twinborn model of tunnel construction, and carrying out the dynamic weighting according to the importance of different construction feature information, performing fusion to generate high-dimensional construction feature data; representing the high-dimensional construction feature data as a graph structure; analyzing the graph structure by using a graph neural network algorithm GNN to obtain an anomaly detection result of the construction equipment; and constructing the construction data into a knowledge graph, tracing quality data in the construction process by using a knowledge graph reasoning technology, and analyzing potential quality risks in combination with the anomaly detection result, so as to realize risk early warning and full life cycle quality management of the construction process. According to the embodiment of the invention, more comprehensive and accurate data support can be provided for construction management, and the safety of the construction process and the efficiency of quality management are improved.

The invention provides a prefabricated pipe pile construction total factor intelligent management method and system based on the digital twinborn technology, and relates to the technical field of construction management, a three-dimensional model is established through the BIM technology, pipe pile attributes are bound, construction data are collected in real time through the Internet of Things, and a dynamic digital twinborn body is formed. Through integration of an API interface and a project management platform, an AI algorithm is used for analyzing data, resource allocation and construction plans are dynamically adjusted, instructions are optimized and pushed to the site, construction efficiency and installation precision are improved, and the problems that traditional management is low in efficiency and large in error are solved.

The invention provides an intelligent building construction management system and method based on BIM scene construction, and relates to the technical field of building construction management. In the construction process, the management system collects mass data in real time by means of sensing layers spread all over key nodes of a construction site; the method comprises the following steps of: transmitting operation parameters of construction equipment, operation dynamics of constructors, consumption rate of materials and change of a field environment to a data processing center, accurately positioning a low-efficiency waiting problem existing in a material transfer link through deep analysis of a big data processing engine and an artificial intelligence algorithm library, recommending an optimization scheme, and improving the efficiency of material transfer. According to the method, the hoisting sequence is adjusted, unnecessary working hour loss is reduced, by means of a BIM model platform, a construction plan is presented in a visual mode, and the management system can rapidly generate and recommend and flexibly deploy construction team personnel, optimize the construction process sequence, ensure construction coherence, reduce construction delay and shorten the construction period.

The invention relates to the technical field of ship construction, and discloses an intelligent diagnosis and early warning method for ship final assembly construction quality potential safety hazards. The method comprises the following steps: receiving real-time sensing data of a plurality of detection nodes in ship construction, and analyzing the real-time sensing data through a pre-trained quality feature extraction model to generate a hidden danger feature vector and a risk level; and dynamically generating a hidden danger diagnosis strategy according to the sequence, wherein the hidden danger diagnosis strategy comprises a detection equipment scheduling instruction and a defect repair priority sequence. And utilizing the pre-trained hidden danger ship dynamic model to predict a defect diffusion trend, adjusting a dynamic response threshold value, optimizing, updating and repairing a priority sequence through an adaptive genetic algorithm, and outputting a quality early warning instruction to a ship construction management system. The method can accurately diagnose and early warn potential quality safety hazards, reasonably dispatch resources, improve the ship construction quality and safety, reduce the cost, and promote the intelligent development of the ship construction industry.

The invention relates to the technical field of intelligent control, in particular to an intelligent power construction management system which comprises an electrical parameter acquisition module, a node state clustering module, a task instruction generation module and a construction path scheduling module. According to the method, deviation nodes are screened in combination with the resistance steady-state difference value and the power factor change ratio, instantaneous fluctuation interference is reduced, unclosed task marks and path correction instructions are generated through mapping of abnormal node physical coordinates and logic nodes, the positioning precision is improved, a trigger path is reversely deduced through grey correlation analysis, and the positioning accuracy is improved. The method comprises the following steps: establishing a logic association between power mutation and construction intervention, dynamically adjusting priority, performing bidirectional verification on a resistance response vector and a power factor sequence, enhancing detection and correction collaboration, fusing equipment nameplate data to quantify a load deviation degree, improving abnormal node screening efficiency, integrating path correction and construction instruction logic, shortening scheduling delay, and improving the reliability of the system. Physical and logic nodes are converted in real time, and synchronous execution of instructions is guaranteed.

The invention relates to the technical field of digital engineering, and particularly provides a BIM-based engineering construction dynamic three-dimensional visual management method and system, and the method comprises the steps: collecting construction multi-dimensional data, carrying out the correlation mapping with an initial BIM model component after preprocessing, and forming a structured construction element data set; dynamically reconstructing an initial BIM model based on the data set, generating a three-dimensional dynamic twinborn body, and dynamically displaying information such as superposition progress, quality, resources and environment; a prediction analysis model is called to generate progress prediction, quality early warning and resource optimization suggestions, and a final scheme is determined after visual simulation verification; and updating the data set and the twin according to an execution result, and iteratively optimizing the prediction model. According to the scheme, dynamic integration and visual management of construction total elements are achieved, the timeliness, accuracy and intelligent level of construction management are effectively improved through intelligent prediction and closed-loop optimization, the construction efficiency is improved, and the management cost is reduced.

The invention discloses a BIM-based water conservancy project construction quality intelligent management method and system, and relates to the technical field of intelligent management. During operation of the system, various parameters related to the water conservancy project construction quality are acquired based on construction of a BIM model, data from a data acquisition module are preprocessed and integrated, and a BIM model is established; the method comprises the following steps: establishing a mathematical model for water conservancy project quality monitoring, establishing a dynamically updated and optimized model through regression analysis of historical data and a machine learning algorithm, predicting potential risks and quality problems in a construction process, and calculating a dynamic monitoring index Dtjk according to parameters output by a BIM model establishment module, the real-time monitoring and early-warning module is used for monitoring a BIM model, comparing the real-time monitoring and early-warning module with a preset qualified threshold value in the BIM model, giving out early warning according to the preset threshold value, reminding management personnel to take intervention measures, and providing improvement suggestions and optimizing a construction management scheme according to feedback information of the real-time monitoring and early-warning module and changes of a dynamic monitoring index Dtjk.

The invention relates to the technical field of construction stage management, in particular to a BIM-based road construction digital management system, which comprises a component parameter acquisition module, a process topology construction module, a state trigger mapping module, a logic conflict judgment module and a scheduling path adjustment module. According to the method, through continuous collection and analysis of the component state, dynamic monitoring of the connection state, geometric intersection and contact time is achieved, the construction change sensing capacity is improved, the dependency relationship is constructed in combination with component space adjacency and time overlapping, the dispatching path and field matching degree is enhanced, and through linkage updating of the component state and model attributes, the construction efficiency is improved. According to the method, the execution state is visual and controllable, scheduling reconstruction is carried out after time dependence conflicts are recognized, synchronous updating of model views is completed, a closed-loop dynamic scheduling mechanism is formed, the task allocation accuracy, the flow connection efficiency and the field scheduling response capability are integrally improved, and the real-time performance and the intelligent level of construction management are enhanced.

The invention provides a three-dimensional modeling and construction management method and device and a readable storage medium. The method comprises the steps that multi-professional engineering drawings and unstructured texts related to construction design are acquired; extracting a geometric entity in each professional drawing in the multi-professional engineering drawings, and constructing a target three-dimensional skeleton model; a hierarchical attention mechanism and a time sequence diagram neural network T-GNN are adopted to extract semantic parameters from the unstructured text; fusing geometric data corresponding to the target three-dimensional skeleton model with the semantic parameters to generate a lightweight three-dimensional model; and for the complex conflict in the lightweight three-dimensional model, disassembling the complex conflict into a symbolic logic subtask and a neural network subtask. According to the method, the device and the readable storage medium, the problems of low modeling efficiency, insufficient semantic understanding and limited conflict optimization capability caused by excessive dependence of three-dimensional modeling of multi-specialty engineering drawings on a traditional BIM tool in traditional engineering design can be solved.

The invention discloses a water conservancy project construction management system and method based on three-dimensional visualization, and belongs to the technical field of water conservancy projects, and the method specifically comprises the steps: collecting related data of a water conservancy project construction region, carrying out the preprocessing, obtaining first monitoring data, building a three-dimensional digital model of a water conservancy project based on the first monitoring data, and carrying out the construction of the water conservancy project. On the basis of the hydraulic engineering three-dimensional digital model, hydraulic engineering construction risks are evaluated in combination with hydraulic engineering construction historical data, and risk grades are divided and hydraulic engineering construction is dynamically managed according to risk evaluation; on the basis of a three-dimensional visual model, all-around and real-time risk monitoring and evaluation can be carried out on a construction site, through real-time data collection and analysis, potential safety hazards such as geological changes, equipment faults and earthwork collapse can be found in time, early warning and emergency treatment are carried out in advance, and safety accidents are effectively avoided.

The invention discloses an urban district regulation construction management operation and maintenance method and system based on three-dimensional digital twinning, and the method comprises the steps: collecting multi-source data, including geographic raster data, BIM model data and mobile phone signaling data, of an urban district, and achieving the coordinate alignment of the multi-source data through an LM algorithm; the multi-source data generates feature data composed of coding tables defining urban features through feature engineering, and an octree is constructed based on the feature data; defining leaf nodes of the octree as voxels, and applying multi-scale convolution to each voxel to obtain super voxels with space-time labels; constructing a constraint network based on the super voxels and a construction, management or operation and maintenance specification constraint library; and judging the risk area of the city district by calculating the space-time constraint intensity of the constraint edge, and outputting a corresponding risk area list. According to the invention, the problems of multi-source data integration, real-time dynamic monitoring and risk prediction in the planning, construction, management, operation and maintenance processes of the urban district are solved.

The invention discloses a construction site dust fall and pollution prevention and control method and system based on multi-modal perception, and relates to the technical field of construction management, and the method comprises the steps: collecting PM data at a boundary in real time through a boundary monitoring device preset at the boundary of a construction site, and meanwhile, using an unmanned plane carrying the monitoring device to monitor the PM data at the boundary; performing flight monitoring on the interior of the construction site according to a preset route, and collecting PM data of different areas of the site; performing preliminary analysis on the multi-modal sensing data in real time by using an edge calculation module, and identifying dust abnormal conditions; and the data processing center analyzes a current pollution scene of the construction site, matches an optimal dust falling strategy for the current pollution scene, controls surrounding dust falling equipment to perform dust falling operation, constructs a self-organizing communication network among the dust falling equipment, and adjusts a dust falling operation plan by using dust falling feedback information. According to the invention, real-time data collected by the boundary monitoring equipment and the unmanned aerial vehicle are fused, and environment parameters and construction working conditions are combined, so that precise regulation and control of the dust falling equipment are realized.

The invention relates to a building engineering progress intelligent monitoring method. According to the method, a building space is divided into area units for fine management, a progress deviation analysis result is generated in combination with a construction plan and field data collected in real time, a deviation value is dynamically mapped to a three-dimensional building model to realize visual monitoring, and meanwhile, resource allocation data is associated to perform spatial clustering and optimization adjustment, so that the construction efficiency is improved. The problem that in a traditional method, progress monitoring and resource allocation are disjointed in the spatial dimension is solved, accurate correlation analysis and closed-loop optimization of the progress and resource dynamics of the constructional engineering are achieved, and the real-time performance and decision-making scientificity of construction management are remarkably improved.

The invention relates to a progress monitoring method based on digital twinning and a BIM (Building Information Modeling) information management system, which can realize automation of a progress monitoring process and can provide more accurate and more objective building activity progress information. By using a three-dimensional information front view and a deep learning-based semantic segmentation technique, the completion percentage of the construction activity can be detected and reported. According to the invention, construction management personnel can be helped to track the progress of main structures such as beams, columns, floor plates and the like, and potential delay or problems can be found as early as possible in the construction process. Through BIM color coding and a point cloud segmentation technology, the progress of each activity can be visualized, so that a project manager is helped to make a more intelligent decision, and resource allocation is optimized.

The invention discloses a cast-in-situ bored pile digital construction control method which comprises the following steps: S1, collecting historical data, and establishing a cast-in-situ bored pile construction information database; s2, geological modeling is established, and a pile hole area three-dimensional stratum and soil layer distribution corresponding to all pile holes are generated in a fitting mode; s3, according to the cast-in-situ bored pile construction information database, finding out average construction efficiency and cost data under various hole forming processes of similar stratums in various stratums of a pile hole area, and calculating the construction period and cost of different hole forming processes of a single pile for construction management personnel to select the hole forming processes and equipment specifications; s4, monitoring early warning and auxiliary decision making in construction; and S5, post evaluation analysis. According to the system and the method, key construction parameters of the bored pile are automatically monitored by relying on core construction equipment and devices, the production dynamic state of the bored pile is visually displayed through online monitoring and early warning of the key parameters by the system and the platform, a friendly interactive interface is provided for operators, and construction parameter selection is assisted.