530 results about "Construction plan" patented technology

The present invention belongs to the technical field of engineering monitoring, and relates to a method for monitoring construction of water conservancy projects, including: collecting monitoring data from a water conservancy project construction site; inputting the monitoring data into a structural stability prediction model for analysis to generate a safety factor assessment value; inputting the monitoring data into a seepage risk prediction model for analysis to generate a seepage risk probability; combining the safety factor assessment value and the seepage risk probability, presetting a threshold, and triggering a graded warning signal; in response to the graded warning signal, calling a multi-objective optimization algorithm to dynamically adjust the current construction parameters and generate an optimized construction plan; loading the optimized construction plan into a digital twin system for virtual construction simulation to obtain predicted performance parameters; comparing the deviation value of the predicted performance parameters with the measured monitoring data, and iteratively updating the parameters of the prediction model when the deviation exceeds the tolerance range. The present invention solves the problem that traditional methods are difficult to discover potential problems and make optimization adjustments before construction.

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 discloses a municipal intelligent construction integrated collaborative design method, and relates to the technical field of municipal intelligent construction, and the method comprises the following steps: obtaining initial geological survey data of a municipal project, and monitoring the dynamic change of geological data in a construction process in real time through sensor equipment; through bidirectional dynamic linkage of the BIM model and geological data and the geological change prediction model, a municipal project can master geological changes in real time, design and construction schemes are automatically adjusted, it is ensured that the design is matched with the actual geological condition, and hidden dangers such as subgrade settlement and pipeline dislocation are effectively prevented. In combination with machine learning, an optimization algorithm and an intelligent decision-making system, a construction party can generate adjustment suggestions in real time, the construction sequence, material selection and equipment use strategies are flexibly optimized, the construction efficiency is improved, and the cost is reduced. Multi-dimensional evaluation ensures that the construction decision is scientific and reasonable, risks caused by geological changes are reduced, and an efficient solution is provided for digital and intelligent transformation of municipal engineering.

The invention relates to the technical field of fabricated building construction, in particular to an intelligent hoisting and precise positioning construction method for fabricated building components. The method comprises the following steps: acquiring a geometric parameter set of the special-shaped curved glass component, a parameter set of hoisting equipment, a real-time environment parameter set of a construction site and a reference positioning parameter set of a building; based on the special-shaped curved glass component geometric parameter set, the hoisting equipment parameter set and the construction site real-time environment parameter set, a special-shaped curved glass hoisting simulation information set is integrated, and affected state characteristics of the special-shaped curved glass in the hoisting process are obtained; performing data fusion on the influenced state characteristics and a building reference positioning parameter set to obtain absolute deviation information of the special-shaped curved glass relative to building reference positioning; and according to the absolute deviation information, operation parameters of the hoisting equipment are dynamically adjusted, and an intelligent hoisting precise positioning construction scheme report is output. And assembly type building hoisting construction is powerfully promoted to develop towards the direction of intelligence and standardization.

The invention relates to the technical field of bridge construction, in particular to a swivel bridge ectopic support cast-in-place construction method which comprises the following steps: S1, constructing a three-dimensional model of a bridge and a support by using a BIM technology, performing virtual simulation, obtaining a simulation result by simulating a construction process, and outputting a construction scheme; s2, monitoring the support structure and the overall state of the bridge in real time on the swivel bridge construction site through monitoring equipment, and collecting real-time data of the construction site; when the system is used, equipment idling is reduced, personnel are reasonably distributed, material transportation is optimized, the construction efficiency is improved, intelligent optimization of data driving is achieved through BIM + AI, the construction automation level is improved, accurate analysis of supports and construction data is facilitated, the problem finding efficiency is improved, construction personnel can conveniently and rapidly intervene, construction delay is reduced, and the construction efficiency is improved. Potential risks can be predicted before faults occur, potential safety hazards are reduced, the construction sequence is adjusted through intelligent analysis, and delay caused by abnormal data is reduced.

The invention discloses an engineering construction quality safety risk management system, and belongs to the technical field of safety risks. Comprising a project management module, a quality safety risk management and control module, a compliance review and data analysis module, an integrated project management module, a risk identification and evaluation module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, an accident handling and tracing module, a compliance review auditing module and a data analysis report module. According to the invention, basic information and design parameters of construction projects are collected through the project management module, a BIM model is established, construction simulation, conflict detection and resource optimization are carried out, an actual construction plan and schedule are formulated, multivariate data in the construction process are collected in real time, early recognition, evaluation and positioning of construction safety quality risks are realized by using the model, and the construction safety quality risk is evaluated and positioned. A risk prevention and control strategy is formulated, key parameters are monitored in real time, early warning is given out immediately when data exceed a threshold value, a risk model and prevention and control measures are improved, and efficiency and safety are improved.

The invention discloses a building construction scheme multi-model management system and method, and belongs to the technical field of building construction management. The system is composed of four subsystems based on a building construction scheme natural language processing model: a construction industry multi-modal professional knowledge question-answering system, a construction industry professional document compiling system, a construction industry multi-modal retrieval system and a construction scheme content auditing system. The construction industry professional document compilation system adopts a multi-mode diffusion large model technology, so that the built construction image generation system can intelligently respond to a text demand input by a user, automatically generate a building construction image matched with the text demand, or perform style conversion on a building image uploaded by the user, and automatically generate a construction image matched with the text demand. According to the method, the building images meeting specific requirements are created, instant building construction reference drawings are provided for users, the workload of the users in the drawing process is greatly reduced through the one-key image generation function, and the working efficiency in the building construction scheme writing stage is remarkably improved.

The invention discloses a concrete chloride ion diffusion prediction method based on physical enhancement characteristics and an XGBoost model, and the method comprises the steps: forming enhancement input data through constructing physical characteristics, material composition characteristics and durability related indexes which reflect a diffusion process mechanism, and inputting the enhancement input data into the XGBoost model for training and prediction. By reasonably setting a model structure and a training strategy, high-precision modeling and prediction of a diffusion coefficient are realized, and key influence factors are analyzed and identified in combination with feature importance. According to the invention, high-precision prediction of the concrete chloride ion diffusion behavior is realized. On the basis of fully considering concrete material composition and environmental factors, the model generates expansion features with clear physical significance, and improves the fitting ability to the diffusion process. Meanwhile, the performance of the model is optimized through evaluation indexes, it is ensured that the model has good stability and generalization ability under different data conditions, and therefore reliable prediction support is provided for concrete formula design and construction scheme adjustment.

The invention relates to the technical field of engineering intelligent algorithms, in particular to a jet grouting pile forming quality and construction optimal parameter prediction method and system, and the method comprises the following steps: building a data sample set based on similar historical engineering cases; the construction stratum soil bodies of the jet grouting piles are classified to obtain different stratum soil body categories, and construction process sensitive parameters are obtained; performing an orthogonal test to obtain an orthogonal test result so as to establish a jet grouting pile construction numerical simulation model to obtain a simulation data sample set; a jet grouting pile strength prediction model is constructed, and a jet grouting pile forming quality prediction result is obtained; establishing constraint conditions, and optimizing the pile-forming quality prediction result of the jet grouting pile according to an optimization algorithm to obtain an optimal solution set; and in combination with actual jet grouting pile construction conditions, optimal construction parameters are obtained according to an optimal solution screening method. According to the method, the optimal construction parameters of the jet grouting pile project can be rapidly and efficiently obtained, so that the construction scheme is optimized, and the pile forming quality of the jet grouting pile is guaranteed.

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 discloses an airport hub construction intelligent regulation and control method and system based on BIM + 5G, and relates to the technical field of construction scheduling optimization, and the method comprises the steps: collecting on-site real-time data to construct a path construction sequence model, constructing a dynamic construction state set with consistent space and time sequence through component coding and semantic attribute mapping, and constructing a dynamic construction state set with consistent time sequence; and constructing a minimum disturbance optimization algorithm of four-dimensional disturbance cost based on the construction disturbance mapping graph, outputting procedure sequence adjustment, resource rearrangement, path decoupling and environment avoidance intervention suggestions, and tracking a construction response state in real time based on an intervention execution feedback mechanism. According to the method, unified modeling of construction plans, resource allocation and green indexes is achieved by constructing a ternary structure and a construction disturbance mapping graph, the field state is dynamically collected in combination with a 5G and edge sensing system, process abnormity and resource conflicts are accurately recognized, an efficient and executable regulation and control strategy is generated based on a multi-target disturbance optimization algorithm, and the efficiency and the reliability of the system are improved. And the intelligence, responsiveness and energy-saving level of the construction process are obviously improved.

The invention discloses a construction scheme intelligent dynamic auditing method and system based on multi-model collaboration, and relates to the technical field of construction scheme auditing, and the method comprises the steps: obtaining a construction scheme, specifically comprising a construction scaffold scheme document and a matched drawing, extracting key parameters from the construction scheme document and the matched drawing, and carrying out the construction scheme auditing; the key parameters comprise the scaffold body type, the erection height, the number of machine positions, the material specification, the lifting step and the safety device configuration; constructing a scaffold construction specification knowledge graph, and forming a compliance verification rule base; collecting historical construction site monitoring data; providing an adjustment suggestion based on the real-time monitoring data; by automatically extracting key parameters in a construction scheme and establishing a standardized database, careless omission caused by manual extraction is effectively avoided, a scaffold construction specification knowledge graph is constructed to form a multi-dimensional compliance verification rule base, and comprehensive and accurate verification in multiple aspects is realized by combining and collecting historical construction site monitoring data.

The invention discloses an underground diaphragm wall steel bar lap joint bending resistance calculation method based on big data, and belongs to the technical field of underground engineering design. In order to solve the problems that the condition change of a construction site is difficult to respond in real time, the construction parameters are difficult to dynamically adjust and the complex construction environment is difficult to adapt, the data set quality and the bending resistance prediction precision are effectively improved through multi-source data acquisition and key feature screening, and a physical prediction model of a steel bar lap joint is established. According to the method, factors such as stress transmission and binding power are comprehensively considered, so that the model has good adaptability under different working conditions, model parameters are dynamically adjusted, the model responds to changes of environments and construction errors in real time, the weight is automatically adjusted when monitoring data fluctuates, accurate prediction of the bending resistance is achieved, potential failure risks are effectively prevented, and the construction quality is improved. And a failure mode pre-judgment and multi-level risk management mechanism helps a construction team to quickly identify a high-risk area and flexibly adjust a construction scheme.

The invention discloses a building engineering management system and management method, and relates to the technical field of construction dust risk management. Dust monitoring points are arranged in a construction site, dust related parameters of a plurality of dust monitoring areas are monitored in real time, a diffusion data set and a mechanical operation distribution data set are combined, and construction dust risk management is performed. And carrying out deep calculation on the data by utilizing a neural network technology, and accurately obtaining the ground dust raising intensity, the mechanical operation dust raising index and the material storage dust raising diffusion ratio of each dust raising monitoring area. And performing association to obtain a regional dust raising comprehensive index Yczsi of the ith dust raising monitoring region, and then performing evaluation to automatically generate a risk grading result. According to the intelligent evaluation based on the data, errors caused by manual estimation are avoided. And according to the grading result, the system can automatically adjust dust raising control measures, such as watering, dust screen setting or construction plan adjustment, so that reasonable control measures are adopted in different risk grade areas, and the generation of dust raising pollution is further reduced.

The invention provides a calculation method for propagation of underwater explosion shock waves in a non-uniform acoustic flow field, and the method comprises the steps: simulating the propagation of the underwater explosion shock waves in a non-uniform fluid through an axial symmetry calculation model of an underwater explosion load in the non-uniform fluid based on a local discontinuous Galerkin method and a continuity condition; according to the method, a calculation model special for heterogeneous fluid is constructed, and continuous conditions are combined, so that the propagation process of underwater explosion shock waves in a heterogeneous flow field containing a sound velocity discontinuous interface and a sound velocity gradient is effectively simulated. According to the method, the influence of the sound velocity spring layer interface on the underwater explosion shock wave propagation path and the load peak value can be accurately analyzed, and more reliable underwater explosion load data are provided for the action of the submarine near the sound velocity spring layer. According to the invention, the influence of the flow field sound velocity gradient on the underwater explosion load and cavitation characteristics can be effectively studied, and the design and construction scheme of the protection ship and maritime work structure is optimized according to more accurate underwater explosion load input data.

The invention relates to a construction organization design word document intelligent generation method and system. The method comprises the steps of establishing a preset template, loading and displaying the preset template, loading data, replacing placeholders, generating a temporary intermediate scheme file, editing communication settings in a web mode, editing the temporary intermediate scheme file, editing cover information of a scheme file to be generated, and generating and storing a final document. According to the method, the problems of poor template reusability, disordered format, low collaboration efficiency, low compiling efficiency, version conflict and the like in traditional construction scheme compiling are solved, intelligent and standardized generation of construction organization design documents is realized, multi-person collaboration data editing operation can be realized through editing of Excel structured data, and the method is high in practicability and easy to popularize. The data preparation difficulty of scheme editors is greatly reduced, the team efficiency is improved, and the data editing efficiency is also improved through multi-person cooperation.

The invention belongs to the technical field of construction technical scheme compilation, and particularly relates to an intelligent construction special scheme paragraph intelligent compilation method based on an information network, which comprises the following steps of: 1, dividing content processing into two categories according to different input contents: project general content and project characteristic content; step 2, vector embedding; step 3, index construction; step 4, index storage; step 5, carrying out similarity retrieval; and 6, outputting a retrieval result. According to the intelligent construction special scheme paragraph intelligent compilation method based on the information network, through automatic word segmentation, vector embedding and index construction, the construction special scheme compilation efficiency is greatly improved, and the time needed by manual compilation is shortened; historical schemes and standard requirements are utilized to ensure that the generated scheme content conforms to industrial standards and specifications, and the standardization degree of the schemes is improved; by distinguishing the project general content and the project characteristic content, a customized scheme can be generated according to the characteristics and requirements of a specific project.

The invention relates to the technical field of municipal engineering, and particularly discloses a municipal engineering visual management system and method, and the method comprises the steps: constructing a lightweight panoramic three-dimensional model of a municipal engineering building based on laser point cloud data; thirdly, further introducing a data processing technology based on deep learning to perform feature extraction and feature selection on the lightweight building panoramic three-dimensional model and the target municipal engineering BIM model of the municipal engineering so as to mine key three-dimensional space structure features in the lightweight building panoramic three-dimensional model and the target municipal engineering BIM model; and characteristic difference analysis is carried out on the two, so that intelligent inference and visual management of the municipal engineering construction progress are realized. According to the invention, real-time and dynamic monitoring of the municipal engineering progress can be realized, and a visual construction progress view is provided for a manager, so that the manager can adjust and optimize a construction plan according to the construction progress, and the engineering can be completed on time.

The invention is suitable for the technical field of cost control, and provides a cost control method and system, and the system comprises a data collection and integration module, a geological change detection module, a geological risk prediction module, and a cost influence evaluation module. According to the method, through real-time data acquisition, historical data integration and dynamic prediction, the scientificity and accuracy of construction cost management are remarkably improved. A weighted interpolation method is utilized to predict a geological parameter trend, a historical risk mode and real-time dynamic change are combined, a risk occurrence probability and a construction influence index are scientifically quantified, a high-risk area is determined through priority ranking, resource allocation is optimized, and therefore construction time and economic cost are effectively reduced. By dynamically optimizing the construction scheme and resource allocation, the method realizes the flexibility and high efficiency of the construction process, and avoids delay and waste caused by risk response lag in traditional construction.

The invention discloses a design and construction scheme optimization method and system for subway double-side extension heaving and sinking control, and the method comprises the steps: collecting design parameters, monitoring data and construction management data in the extension construction process of a subway station, and forming a standardized data set; and performing multi-dimensional fusion analysis on the standardized data set, evaluating the effects of earth excavation, a supporting system and deformation control, and generating target evaluation data. And based on the evaluation results, optimizing the subway double-side extension construction scheme by using an optimization algorithm to generate an optimized sub-scheme. The system analyzes the construction progress through a critical path algorithm, forms an adjustable progress plan, monitors the construction state in real time, dynamically updates the progress plan and control measures, and ensures the safety and high efficiency of construction. The system can effectively control the deformation problem in the construction process, the construction precision and the management level are improved, and the system is suitable for improving the quality and safety of subway double-side extension construction.

The invention discloses a rapid detection method for a tunnel to pass through a large karst cave, and relates to the technical field of civil engineering, and the method comprises the following steps: S1, selecting a detection position and drilling a drill hole; s2, installing a drilling radar; s3, setting a ground radar; s4, starting radar data acquisition; s5, performing data processing and analysis to generate a tomography image; s6, karst cave identification and analysis; s7, safety measures and construction schemes are formulated; and S8, dynamically adjusting the detection parameters. According to the invention, through combined use of the drilling radar and the ground radar and combination of advanced data processing technologies and algorithms, a high-precision tomography image can be generated, the position, the shape, the size and the filling condition of the karst cave can be accurately identified, reliable geological information is provided for construction, and potential safety hazards in the construction process are effectively avoided.

The invention discloses an intelligent beam field construction management system based on BIM and GIS, and relates to the technical field of beam field construction management. Main parameters of a beam field construction environment can be fully covered by deploying a temperature and humidity sensor, an air quality sensor, a noise sensor, a wind speed and direction sensor and a rainfall sensor; spatial data association is performed on the BIM model by using a spatial analysis tool in a GIS platform, geographic information and construction in the BIM model are subjected to geographic space matching, and the accuracy of an association result is ensured through verification, so that data integration and sharing are facilitated, the use efficiency of the data is improved, and the method is suitable for popularization and application. A construction supervisor can monitor the construction progress according to the tracking data recorded in real time, a construction plan is adjusted in time, and smooth construction is ensured.

The invention discloses a concrete structure tall formwork supporting system stress deformation actual measurement method, and relates to the technical field of constructional engineering structure safety, the method comprises the following steps: determining initial stress distribution reference data through a pre-established supporting system geometric model database, and determining final construction adjustment guidance data; according to the final digital construction scheme, a construction safety assessment report is automatically generated, final conclusion data of safety assessment is determined, a result is fed back to the design optimization module through the data transmission module, and the unsolved uneven stress or deformation problem is extracted from the feedback data; obtaining input parameters of a new round of design optimization, and obtaining a continuously improved design iteration result; according to the actual measurement method for stress deformation of the high and large formwork supporting system of the concrete structure, the design rationality and construction safety of the high and large formwork supporting system are improved, and intelligent and digital whole-process management and control are achieved.

The invention discloses a BIM-based building masonry design and construction method, and relates to the technical field of buildings, and the method comprises the steps: building a BIM model of a building according to a BIM technology, determining the size of a brick body and the thickness of a mortar joint, and calculating the overall masonry deviation coefficient of a masonry part; collecting a complete image of the actual masonry part by using a camera, extracting mortar joints of the actual masonry part, calculating a deviation coefficient of a transverse mortar joint and a deviation coefficient of a longitudinal mortar joint, and further calculating a masonry mortar joint deviation index; measuring points are randomly selected at the masonry part, the same force is used for knocking at the measuring points, a recording device is used for collecting knocking audios, and a knocking audio evaluation index and masonry audio variance are calculated; and obtaining a masonry overall deviation coefficient, a masonry mortar joint deviation index and a masonry audio variance of the masonry part, calculating a masonry comprehensive evaluation index, and sending out an early warning of unqualified masonry quality. And the construction team is helped to optimize the construction plan.

The invention discloses a building project material ordering optimization method and system considering supply interruption. The optimization method comprises the steps of obtaining a construction plan and material consumption; based on the construction plan and the material consumption, predicting a material demand within a preset time; obtaining a preliminary material ordering plan according to the material demand; obtaining an optimal material purchasing channel, and performing risk assessment according to the optimal material purchasing channel and the preliminary material ordering plan to obtain a supply risk; and obtaining an optimal material ordering plan according to the supply risk. According to the method, factors such as project progress, construction plans and material consumption are comprehensively considered, material demands in a certain period in the future are predicted, a material ordering plan is made according to a prediction result, the purchasing time, the purchasing quantity and the purchasing channels of materials are reasonably arranged, and the situation of material shortage or excessive purchasing is avoided.

The invention provides a college campus planning and design multi-objective optimization method based on cGAN and NSGA-II, and the method specifically comprises the steps: obtaining a large number of existing different campus planning and design related data, and carrying out the correlation of the data with corresponding carbon emission and incremental cost data, and forming a model data set; inputting the model data set into a pre-constructed cGAN model for training, and optimizing an initial campus planning and design scheme output by the cGAN model through an NSGA-II algorithm; and performing optimization adjustment and scheme visual display on the cGAN model based on the target campus planning design. The college campus carbon emission level and incremental cost collaborative optimization model constructed by the invention provides scientific decision support for an architect to fully consider the balance between the carbon emission reduction performance and the economic benefit in a scheme stage, and is helpful to further realize a campus carbon neutralization construction plan.

The invention belongs to the technical field of pile foundation construction, and particularly relates to an inversion method of a pile foundation construction and geological exploration technology, which comprises the following steps of: 1, collecting geological exploration data; the method comprises the following steps: acquiring property data of an underground soil layer through drilling and in-situ testing operation, including the thickness, compactness and soil type of the soil layer; and calculating the numerical values of the thickness, the compactness and the soil type of the soil layer through a static sounding test method. According to the inversion method of the pile foundation construction and geological exploration technology, accurate geological exploration data can be provided, specific characteristics of an underground soil layer are calculated through the inversion method, and accurate parameters are provided for pile foundation design. Meanwhile, the interaction between the pile foundation and the soil layer is simulated through a finite element method, deformation and stress distribution in the construction process are predicted, and a scientific basis is provided for engineering design. In addition, settlement and pile sinking resistance of the pile foundation need to be monitored in real time, so that a construction scheme is adjusted in time, and construction safety and quality are ensured.

The invention relates to the technical field of horizontal directional drilling construction monitoring. The invention relates to an intelligent progress tracking and monitoring method for horizontal directional drilling construction. The method comprises the following steps: S1, acquiring a construction plan, and extracting a design track and measured geological data of a drill hole in the construction plan; s2, carrying out blank area analysis on the geological model by combining the measured geological data with a design track, and extracting historical construction data in an effective range according to an analysis result; according to the method, the deviation of drilling can be accurately controlled by comparing and analyzing the design track and the moving track, the coincidence degree of the completed track part and the design track can be determined by calculating the deviation between the actual moving track and the design track, once deviation is found, the moving track is made to return to the design track by using calibration adjustment parameters in S4.3. 1, and the drilling precision is improved. And drilling is strictly carried out according to design requirements, and the construction quality is improved.

The invention discloses a stiff skeleton arch bridge arching process optimization method and system considering multiple objectives, and belongs to the technical field of bridge construction.The method includes the steps that a stiff skeleton arch bridge main arch ring finite element model is established, design variables and optimization objectives are analyzed and determined, and a multi-objective optimization model is established; minimization of instantaneous stress and permanent stress of a main arch ring of the stiff skeleton arch bridge and minimization of vertical deformation of a vault are used as objective functions, the length of a working face is used as a design variable, and constraint conditions are set. After an initial pouring scheme is determined based on an actual construction scheme, an optimization scheme is solved by adopting an NSGA-II algorithm. And further constructing quantitative evaluation indexes including a comprehensive stability coefficient and a stability coefficient variance, constructing a comprehensive evaluation index based on the quantitative evaluation indexes, and finally determining an optimal pouring scheme. The arch forming quality and the structural safety of the arch bridge can be effectively improved, the construction scheme is optimized, the construction cost is reduced, and important engineering application value is achieved.

The invention relates to the technical field of beam bridge splicing, in particular to a large-span concrete continuous beam bridge splicing construction method based on intelligent construction. The method comprises the following steps: acquiring digital modeling data of a left bridge and a right bridge to be spliced; analyzing the digital modeling data, and determining the dynamic stress distribution of the whole construction process; acquiring deformation monitoring data in real time, analyzing the deformation monitoring data, and determining a coordinated deformation rule of the left and right bridges; and generating a splicing construction scheme according to the dynamic stress distribution and the coordinated deformation rule. And the decoupling problem of a digital model and a physical entity is eliminated. The problem of stress control blind areas is solved, stress space-time evolution is quantified, it is ensured that stress prediction covers all stages of construction, and the blind areas of a conventional static model are avoided. The problem of quantitative deficiency of the coordination deformation rule is solved, and the defect of neglecting the deformation coordination is avoided. The problem of construction decision lag is solved, the structural damage probability and temperature cracks are reduced, and coupling of construction execution and a physical mechanism is ensured.