241 results about "Construction plan" patented technology

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 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 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 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 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 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 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.

The invention belongs to the field of engineering management, and particularly relates to an electric power project full life cycle management method and system based on digital twinning, so as to solve the technical problems that digital twinning and a construction plan are disjointed, and a risk assessment and permanent data capitalization mechanism driven by real-time data is lacked. Obtaining a construction plan of the task unit and a digital twinborn model; s2, establishing an association relationship between a task unit and a component; s3, calculating a vector deviation between a field entity state and a digital twin model target state; calculating a risk coefficient of the component; forming a dynamic construction plan; and S4, performing structured packaging and Hash linking on the vector deviation, the risk coefficient, the quality acceptance result and the resource consumption data, and generating construction process data bound with the component. The defect of disjunction of plans and models in traditional management is overcome, possible space and resource conflicts in the future can be pre-judged and avoided, and the integrity and authenticity of process data are ensured.

The invention belongs to the technical field of sandy ground grouting regulation and control, and relates to a dolomite sandy ground tunnel high-pressure curtain grouting regulation and control method and system. According to the method, the fuzziness and the uncertainty of single sensing information when complex geological conditions are judged and recognized are overcome by generating the sanding rate grade map and the splitting early warning signal, and the accuracy of stratum state sensing is improved; a dynamic linkage mechanism among stratum states, risk early warning, slurry parameters and grouting parameters is established, the slurry proportion and the grouting pressure are automatically and differentially regulated and controlled according to the sanding grade, and optimal matching of the slurry property and stratum requirements and dynamic balance of safety and efficiency are achieved; the formation condition of the curtain is mastered in real time through grouting effect real-time imaging and closed-loop feedback regulation and control, the construction scheme is continuously optimized according to objective data, the uniformity, continuity and overall quality of high-pressure curtain grouting of the sandy stratum tunnel are ensured, and meanwhile material waste and construction period delay are avoided.

The invention discloses a BIM-based intelligent construction progress management system, electronic equipment and a storage medium, and the system comprises a component decomposition module which constructs a BIM model based on a current construction plan state, carries out the component decomposition of the BIM model through geometric analysis, and carries out the correlation matching of the split components and construction sections; the data synchronization module is used for collecting actual construction data of a construction site, extracting multi-source features of the construction data and fusing the multi-source features to obtain fused multi-source features; the dynamic evaluation module is used for dynamically evaluating the deviation between the actual progress and the planned progress based on the fused multi-source features and the associated and matched component information; and the deviation correction adjustment module is used for generating a deviation correction strategy based on the deviation by using a heuristic optimization algorithm, and completing intelligent construction progress management based on the deviation correction strategy.

The invention discloses an expressway bridge construction state real-time monitoring method and system, and relates to the technical field of bridge construction monitoring. An expressway bridge construction state real-time monitoring system comprises a data acquisition and processing module, a data expansion and analysis module, a multi-point data fusion module, a state comprehensive evaluation module and a construction scheme adjustment module. According to the method, data interpolation and expansion are carried out on the preprocessed vibration monitoring data through the Kriging interpolation method, the spatial autocorrelation between the vibration monitoring data can be fully utilized, and the monitoring data are expanded, so that the problem of insufficient coverage of monitoring points can be effectively solved, and the integrity and precision of the monitoring data are improved; the change trend and the distribution rule of vibration in space can be reflected more accurately, a more comprehensive and reliable basis can be provided for evaluation of the highway bridge construction state, and the state evaluation accuracy of the highway bridge construction state real-time monitoring method and system is improved.

The invention discloses an intelligent upgrade load data analysis system and method for power grid equipment, and relates to the technical field of data analysis, and the method comprises the following steps: obtaining basic parameters and power consumption time period attributes of the power grid equipment; presetting an upgrading time period set according to the power grid construction plan, selecting any upgrading time period and the target upgrading equipment, screening equipment load historical data consistent with the power utilization time period attribute, and calculating a predicted load peak value of the target upgrading equipment in the time period; matching the target upgrading equipment with the upgrading time period distributed in the scheme, constructing a current upgrading scheme, classifying the equipment needing to be synchronously upgraded in the same upgrading time period into one batch, and calculating a load imbalance coefficient; calculating a power fluctuation coefficient; and determining the suitability score of the target upgrade device in the time period, traversing all the suitability scores to construct a total suitability score, and solving the optimal selection through a function to obtain a theoretical optimal upgrade scheme, so that the intelligent analysis of the upgrade load data of the power grid device is realized.

The invention discloses an intelligent monitoring and predicting method and system for carbon emission in road construction, and particularly relates to the technical field of environmental protection and engineering construction, and the method comprises the following steps: S1, building a carbon emission database; s2, deploying Internet of Things monitoring equipment; s3, data transmission and storage; s4, data analysis and modeling: performing deep mining on the collected data by using a big data analysis technology, and establishing a carbon emission prediction model; s5, real-time monitoring and early warning: analyzing carbon emission data in real time through an intelligent algorithm, and immediately sending early warning information to a manager to timely adjust a construction plan to reduce carbon emission once an abnormal or standard exceeding condition is found; and S6, optimal control: dynamically adjusting the construction strategy to realize optimal control of carbon emission. And through deployment of Internet of Things monitoring equipment and real-time data transmission, the problems that an existing carbon emission monitoring means is low in efficiency and the real-time monitoring requirement is difficult to meet are solved, and the carbon emission condition in the construction process can be mastered in time.

The invention relates to the technical field of construction risk assessment, in particular to a BIM-based building construction risk assessment system and method, and the system comprises a construction environment dynamic recognition module, an operation flow correlation analysis module, a personnel path optimization module, a mechanical range adaptation module and a risk grading judgment module. According to the method, the construction site environment is comprehensively and dynamically identified, the influence of the environment on the construction operation can be deeply analyzed, the construction plan is adjusted in real time, the operation process is optimized, the construction arrangement is more reasonable, the progress lag problem is reduced, and the construction efficiency is improved. Optimized management of personnel paths effectively reduces path conflicts and potential safety hazards, construction safety and efficiency are guaranteed, precise division of a mechanical operation range improves equipment operation efficiency, resource waste is reduced, the intelligent level of construction management is improved through linkage analysis of environments, procedures, personnel and machines, and the construction safety and efficiency are improved. And efficient, safe and standard operation of construction projects is promoted.

The invention discloses a numerical simulation method for a soil frost heaving rule. The simulation method specifically comprises the following steps: S1, constructing a model for calculation according to a soil frost heaving model; s2, correlating a temperature field model and a moisture field model; and S3, obtaining the optimized hydrothermal coupling model. According to the invention, model calculation is established based on the soil frost heaving model, a temperature field and a moisture field are respectively established and then are secondarily integrated into an overall model, and then consideration of a displacement field is added, so that the calculation efficiency of the overall model is increased, and meanwhile, an actual model calculation structure is similar to soil frost heaving parameters under actual working conditions; finally, simulation of actual working conditions can be completed based on the method before construction, a construction scheme formulated in the early stage is optimized based on a simulation conclusion, and the construction period and cost of the construction process are optimized while safety is guaranteed.

The invention discloses a construction method of a flat pilot tunnel in a karst landform super-large section tunnel chamber. The construction method comprises the following steps: 1) geological investigation before construction; 2) advanced geological forecast; (3) a flat pilot tunnel is excavated; (4) primary supporting is conducted; (5) treating a karst cave and a karst cavity; (6) water prevention and drainage measures are taken; (7) monitoring and measuring; and 8) ecological restoration. The method has the following technical advantages that 1, disasters such as collapse, water bursting and mud bursting in the construction process are effectively avoided through detailed geological survey, advanced geological forecast and a reasonable construction scheme, and the safety of constructors and equipment is guaranteed; 2, a proper excavation method and supporting measures are adopted, the construction process is optimized, the construction period is shortened, and the construction efficiency is improved; loss caused by geological disasters and improper construction is reduced, and engineering investment is saved; ecological restoration is emphasized, damage of construction to the surrounding environment is reduced, and coordinated development of engineering construction and environmental protection is achieved.

The invention relates to the technical field of bridge construction monitoring, in particular to a large-scale bridge construction process real-time monitoring control system based on digital twinning, which comprises a benchmark modeling module, a data processing module and a data processing module, constructing a construction plan reference model containing a planned construction period and resource allocation; and the feature analysis module is used for generating a multi-dimensional deviation feature vector by comparing the difference between the plan and the reality based on the construction plan reference model and the actual construction data collected from the construction site in real time. According to the invention, through the feature analysis module, high-frequency comparison is carried out on real-time collected data of a construction site and a reference model in digital twinning, and a multi-dimensional deviation feature vector containing information such as a construction period, resources, quality, safety and the like is generated, so that a manager can accurately master the most real overall state of a project at the first time; and the decision is prevented from being influenced by information transmission lag.

A method and system for construction inspection documentation with an inspection device moved at the construction along a trajectory, whilst capturing multiple inspection data sets. Thereby, there is automatically extracting first trajectory shape- and / or time-related attributes by evaluation of a shape and / or a timeline of the trajectory, automatically correlating extracted first attributes with corresponding second construction attributes provided by a stored construction plan or model, automatically aligning, and preferably also scaling, the trajectory using the construction plan or model as positional reference based on correlated first and second attributes. This enables automatically allocating a respective inspection data set to a position within the construction plan or model based on the aligned and scaled trajectory.

The invention discloses a BIM-based steel truss simulation construction method and system, and relates to the technical field of simulation construction methods, and the method comprises the steps: determining a construction event corresponding to each key construction node according to the overall form of each virtual construction model and each key construction node; the integral construction report of the steel truss is determined according to the construction event corresponding to each key construction node, the construction task of the steel truss and the stress distribution condition of the construction three-dimensional model of the steel truss, and the accuracy of the integral construction report of the steel truss is improved. Therefore, construction early warning nodes are determined according to the feature forms of the multiple construction risk features, the corresponding construction risk areas and the construction time ranges corresponding to the construction risk events, and a simulation construction plan of the steel truss is determined based on the construction early warning nodes, the construction stereoscopic model of the steel truss and the integral construction report of the steel truss. And the accuracy of the simulation construction plan of the steel truss is improved.

The invention relates to the technical field of elevators, in particular to an elevator construction management system and method.The elevator construction management system comprises a data acquisition module used for acquiring operation parameters and environment parameters in the elevator construction process in real time; the data twinning module is used for updating an elevator construction twinning model according to the operation parameters and the environment parameters; the data processing module is used for processing the current elevator construction data reflected by the elevator construction twinning model and generating an optimized construction scheme according to a processing result; and the safety monitoring module is used for generating a construction safety state according to the operation parameters, the environment parameters and the current elevator construction data and generating construction early warning information based on the construction safety state, so that early discovery and active intervention of safety risks are realized. And finally, the core problems of potential safety hazard identification lagging and low transportation efficiency in a traditional mode are solved.

The invention relates to the technical field of intelligent construction in the construction industry, and particularly discloses an intelligent construction method and system based on artificial intelligence and intelligent equipment. The method comprises the following steps of S1, engineering information input, S2, construction scheme planning, S3, intelligent construction and collaborative operation, S4, digital twinning real-time mapping, S5, a monitoring and optimization stage and S6, intelligent construction efficiency evaluation. According to the invention, a building engineer inputs a three-dimensional engineering model and intelligent equipment information, and a strong artificial intelligence central system automatically identifies and splits the model and deduces a construction scheme; the intelligent equipment receives an instruction for collaborative operation through 5G communication, and obtains a construction collaborative efficiency evaluation coefficient and a construction quality evaluation coefficient through analysis; according to the intelligent building efficiency evaluation system and method, through cooperation of technologies such as artificial intelligence and cloud computing with distributed operation of the intelligent robot, refined and efficient production is achieved, and intelligent upgrading of the building industry is promoted.

The invention relates to the field of nuclear power plant overhaul management, in particular to a risk management method, device and equipment for nuclear power plant overhaul and a program product. The method comprises the following steps: obtaining construction information of a reconstruction project and an overhaul project of nuclear power plant overhaul; performing cross risk identification from time, space and resource dimensions according to the construction information, and determining a project list with a cross risk; according to the project list, plane planning and special construction plans in the area are formulated; and performing multi-dimensional deduction verification on the plane planning and the special construction plan, adjusting the plane planning and the special construction plan until the plane planning and the special construction plan meet preset construction requirements, and generating corresponding risk response measures. According to the method, reasonable use of resources can be ensured, the possibility of conflict occurrence is greatly reduced, more efficient coordination management among multiple projects is ensured, and the construction is safer.

The invention discloses an underground parking lot communication construction evaluation method and related equipment, and the method comprises the steps: determining address ID information according to a target address and a first data system, and determining a preset mobile network user number according to the address ID information and a second data system; calculating a construction scale according to historical sample data of the underground parking lot and a base station benefit evaluation model, and determining a construction priority according to application requirements and evaluation information; and determining a communication construction sequence according to the construction priority, and determining a communication construction scheme according to the communication construction sequence, the preset number of mobile network users, the construction scale and the field environment factors of the target address. The embodiment of the invention can meet application requirements of underground parking lots and consider investment benefits. The method can be widely applied to the technical field of communication construction.

The invention discloses a well cementation annulus fluid blending safety risk quantitative prediction method, which belongs to the technical field of petroleum and natural gas engineering, and is characterized in that a plurality of parameters influencing blending pollution are quantified according to a statistical function method based on a mixed slurry pollution fluidity experiment in combination with a computational fluid dynamics numerical simulation method; and obtaining a blending safety risk factor. According to the method, the development process of the displacement interface of the well cementation fluid is simulated through computer numerical values, the formation and development characteristics of the three-dimensional displacement interface are truly represented, the annular fluid mixing risk prediction method is summarized and summarized in combination with field experience and test data, fluid mixing pollution is visually and quantitatively described, and the risk prediction accuracy is improved. Therefore, a unified prediction method is formed, well cementation construction risks are proposed in advance, construction scheme adjustment and construction plan making are guided, and the method plays an important role in preventing complex accidents of well cementation mixed slurry pollution.

The invention provides a flight area track project progress evaluation method, which can be applied to the technical field of artificial intelligence and the technical field of Internet of Things. The method comprises the following steps: acquiring unmanned aerial vehicle shooting data and satellite remote sensing data of a flight area channel; performing image fusion processing on the unmanned aerial vehicle shooting data and the satellite remote sensing data to obtain fused image data; analyzing the fused image data by using a pre-trained target detection model to obtain a detection result; based on the detection result, extracting image feature data reflecting the actual completion project amount of the flight area track project, and obtaining actual completion project amount data; and comparing the actual completion project amount data with a preset construction plan progress, and performing project progress evaluation based on a comparison result.

The invention provides a construction scheme document architecture adaptive adjustment method and system and electronic equipment, and relates to the technical field of document processing. Comprising the following steps: acquiring a first compiled document and all review suggestions for the first compiled document; constructing a graph structure, and constructing a knowledge graph based on the graph structure; updating the optimized graph structure for the first time on the basis of the current review suggestion, and updating the knowledge graph for the first time on the basis of the graph structure updated for the first time; matching the current review suggestion with the nodes of the knowledge graph after primary updating to obtain a matching result; adjusting the first compiled document based on a matching result; carrying out secondary updating on the graph structure after the primary updating by utilizing the adjusted first compiled document, and carrying out secondary updating on the knowledge graph based on the graph structure after the secondary updating; and circulating until all the review suggestions are executed, and obtaining a self-adaptively adjusted secondary compiled document. According to the method, re-understanding of the adjusted document after each review suggestion processing is realized, and dynamic content migration is realized.

A method and system that include receiving sensor data that is indicative of an operational status of a well construction equipment that is being utilized to construct a planned well that include receiving a well construction plan that includes information that is indicative of the planned well and the well construction equipment. The method and system additionally include accessing a database of operational sequences that are executable to be performed by the well construction equipment to construct a plurality of wells and selecting from the database an operational sequence to construct the planned well. The method and system further include electronically controlling the well construction equipment to autonomously perform the plurality of physical or mechanical operations of the selected operational sequence to drill at least one of: a selected portion of the planned well and a path along the selected portion of the planned well through a subterranean formation.