324 results about "Construction planning" patented technology

The invention relates to the technical field of intelligent building management, in particular to a construction site comprehensive management system based on machine vision, which comprises an image capturing and partitioning module, a construction state analysis module, a component progress matching module, a progress deviation analysis and early warning module, a task dynamic allocation module and a construction node optimization module. According to the invention, through regionally extracting and numbering image data and combining a position coordinate subdivision technology, accurate partitioning and ordered data organization of a construction site are realized, the structural property and traceability of image data are guaranteed, real-time image analysis is carried out to compare the image data with a construction plan, the state of a component is identified, and progress deviation is revealed; a dynamic early warning mechanism is established, abnormal areas are marked, risks are prompted in advance, resource allocation is concentrated in key areas based on real-time progress and task priorities, task distribution and resource use priorities are optimized, reasonable and efficient allocation of resources is achieved, and therefore intelligence, reliability and safety of construction management are improved.

The invention discloses an electric power capital construction site operation environment data monitoring and safety management method, which belongs to the field of intelligent decision technology and electric power safety management, and comprises the following steps: constructing a semantic network framework according to a construction plan; collecting and calibrating multi-source environment data to generate a trusted data set; generating a real-time risk network graph based on the semantic framework and the trusted data set; calculating a robust risk index and performing sensitivity deconstruction; generating a closed-loop intervention instruction when the risk indicator exceeds a safety threshold; and finally, collecting, feeding back, iteratively optimizing the whole system, and generating a cross-project multiplexing intelligent template library. According to the method, a comprehensive technical path of semantic modeling, causal inference and closed-loop adaptive optimization is adopted, the operation situation can be deeply analyzed, potential risks can be quantified and attributed prospectively, the optimal intervention strategy is intelligently generated, and the intelligence, precision and prospective level of safety management of the electric power capital construction site is remarkably improved.

The invention discloses a BIM technology-based comprehensive pipeline construction management system, which relates to the technical field of construction management and comprises a BIM model creation module, a pipeline construction planning module, a real-time progress monitoring module, a pipeline conflict detection and optimization module and a quality and safety management module. According to the comprehensive pipeline construction management system based on the BIM technology, multiple problems existing in traditional construction management can be effectively solved, through the functions of visual display, conflict detection and optimization, real-time progress monitoring, potential safety hazard inspection and the like of the BIM model, the system provides a comprehensive management tool for the construction process, and the construction efficiency is improved. The construction efficiency is improved, resource allocation is optimized, the construction quality and safety are greatly improved, finally, by means of the system, the overall management level of a project is remarkably improved, and the construction progress, quality and cost are more accurately and effectively controlled.

The invention discloses a building robot task planning and skill learning method and system, and relates to the technical field of intelligent construction and building robot control, and the method comprises the steps: receiving construction target description and construction environment information through a multi-modal task-skill collaborative generation model; and generating a structured semantic vector and reasoning a construction planning graph containing a plurality of subtasks. And collecting operation behavior parameters of the building robot in each subtask according to the construction planning graph, constructing an operation sample, and inputting the operation sample into the multi-modal task-skill collaborative generation model for skill learning and action instruction generation. And in the construction execution process, various sensing data are fused for real-time judgment, and if the task execution state is inconsistent with the planning state, the multi-mode task-skill collaborative generation model adjusts an instruction based on the latest state and outputs a reasoning chain. According to the method, the deployment efficiency and task adaptability of the robot system in actual construction are improved, and a foundation is laid for man-machine cooperation and unmanned construction in the field.

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 belongs to the technical field of construction planning, and particularly relates to a power grid transmission line construction scheme planning method and system based on a knowledge graph, and the method comprises the steps: firstly constructing a knowledge graph model of a mechanical construction scheme and a standardized adaptation principle; obtaining a power transmission line project construction task, constructing a construction data integration set, inputting the construction data integration set into the mechanical construction scheme knowledge graph model, generating a power transmission line mechanical construction scheme, and screening out a standardized construction scheme based on an optimized MOPSO algorithm; according to the method, the knowledge graph and the three-dimensional construction scene are constructed, the multi-target problem is solved by optimizing the MOPSO algorithm, the optimal construction scheme is obtained, the construction process is simulated, the construction process is optimized, and the construction efficiency is improved. Therefore, standardized processing of different construction projects is achieved, the construction efficiency is improved, and the construction quality is guaranteed.

The invention relates to the technical field of construction project management, in particular to a construction project management system based on cloud computing, which comprises a construction path optimization module, a construction state analysis module, a construction environment monitoring module, a progress plan adjustment module and a green construction optimization module. According to the method, through combination of construction task resource distribution and three-dimensional space information, resource path distribution logic is optimized, material consumption, equipment operation states and key process deviation data are utilized, accurate positioning and prediction of construction dynamic problems are realized, construction interruption is reduced, and equipment and personnel distribution characteristics are extracted based on field image data, so that construction efficiency is improved. The equipment arrangement deviation degree and the potential safety hazard superposition value are quantified, the safety and efficiency of a construction site are improved, and the utilization rate of green construction resources is improved by dynamically adjusting the process time and the resource utilization rate, optimizing the relation between task nodes and factors, improving the flexibility and the response capability of a construction plan and conducting partition modeling energy consumption data and multi-constraint optimization.

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

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

The invention discloses a building robot multi-machine cooperative construction planning method and system, and belongs to the technical field of building construction automation, and the method comprises the steps: collecting three-dimensional space data of a construction site, combining with a timestamp, constructing a four-dimensional space-time semantic map, recognizing a process stage, dynamically allocating tasks, generating an initial path through an improved A * algorithm, and constructing a three-dimensional space-time semantic map. And the path is adjusted in real time by adopting a dynamic window method. According to the three-dimensional collaborative modeling design method of the building robot, the problem of dynamic environment adaptability is solved through combination of four-dimensional map construction, Nash equilibrium allocation and an improved A * algorithm.

The invention relates to the technical field of collaborative construction, in particular to a collaborative construction method and system based on BIM, and the method comprises the following steps: obtaining component information and a construction path, calculating the center distance, the number of intersection lines and the blocking ratio, evaluating the density and the staggering degree, generating an urgent distribution set and a task list, extracting spatial parameters, and calculating the overlapping level. And judging the compression feasibility of the time window, and generating a non-parallel task list. According to the method, through quantitative evaluation of blocking risks between construction nodes, a dynamic sorting list generated based on urgency degree values and construction plan binding tasks, conflict levels between component pairs are divided through an operation space overlapping degree index, compression judgment is performed on an adjustable time window, and a minimum interference construction time period is allocated; strong interference task pairs are calibrated to avoid parallel construction, the sorting rationality of construction tasks and the space decoupling efficiency of job scheduling are effectively improved, and fine matching and efficient cooperation of component scheduling sorting and resource allocation in a dynamic scene are achieved.

The invention relates to an intelligent construction method and system based on Internet of Things monitoring, and the method comprises the steps: obtaining real-time vibration spectrum data and historical equipment vibration data of target construction equipment, carrying out the environment noise suppression of the real-time vibration spectrum data based on the historical equipment vibration data, and obtaining equipment noise reduction state features; obtaining an operation vibration waveform of the impact equipment, and carrying out equipment health degree analysis on the noise reduction state characteristics of the equipment to obtain a health degree attenuation rate; carrying out equipment load reduction operation quantification on the health degree attenuation rate based on a preset construction plan, and carrying out equipment safety collaborative analysis to obtain an associated equipment collaborative scheduling strategy; and performing instruction construction on the target construction equipment according to the associated equipment collaborative scheduling strategy to obtain a load control instruction, and performing construction optimization on the construction plan to obtain an optimized construction plan. According to the invention, the equipment health degree attenuation rate can be dynamically analyzed based on the operation vibration waveform of the impact equipment, and real-time response to the equipment performance change is realized.

The invention relates to the technical field of construction progress collaborative management, in particular to a multi-source data driven construction progress intelligent collaborative control method and system. The method comprises the following steps: acquiring multi-source data of a construction site; dynamically fusing the multi-source data to obtain a three-dimensional construction map; constructing a construction plan planning model, and generating an optimal construction plan by using the construction plan planning model based on the three-dimensional construction map; and performing dynamic resource scheduling and allocation according to the optimal construction plan to obtain a resource allocation scheme. According to the method, the three-dimensional construction map is constructed by fusing the multi-source data, then the construction plan planning model is constructed to obtain the optimal construction plan, and finally resource allocation is performed based on the optimal construction plan, so that the problems of data islands, progress lag and response lag in traditional highway engineering construction are solved, and the construction efficiency and safety are remarkably improved.

The invention relates to the technical field of data processing, and provides a BIM-based building construction progress management method and system, and the method comprises the steps: carrying out the decomposition of a BIM model into a component set according to the construction process of a building, and building the construction plan mapping of each component; the method comprises the following steps: collecting construction site data of a building, and preprocessing the construction site data to obtain preprocessed data; processing the preprocessed data through a progress recognition model to obtain the actual construction progress of the building; calculating the deviation between the actual construction progress and the planned construction progress of the building; according to the deviation between the actual construction progress and the planned construction progress of the building, a multi-objective optimization model is combined to adjust the construction plan to obtain a target construction plan; and performing construction progress management on the building based on the target construction plan. According to the invention, the accuracy and the intelligent degree of building construction progress management can be improved.

The invention relates to the field of municipal communication pipelines, and discloses a municipal communication pipeline-based laying construction management system, which comprises the following steps of: acquiring images, position information and voice data of a construction site, preprocessing the acquired content by utilizing a lightweight edge calculation model, and judging whether data exception exists or not; on the basis of spatio-temporal information matching and an image content recognition algorithm, construction data collected on site are compared with the engineering plan model, and whether areas which are not constructed according to specifications are recognized or not is judged; uniformly converting the unstructured data into construction record items in a standard format by using a multi-modal feature fusion method, and judging whether the unstructured data is successfully converted or not; dynamically updating a construction progress state in combination with a project construction plan and real-time acquired data, and generating a visual Gantt chart display; and training the historical engineering data based on a machine learning model, and automatically pushing early warning information to a management terminal. The method has the advantage of improving the communication pipeline construction management capability.

The invention discloses a digital twin model driven photovoltaic field construction transportation system and method, and belongs to the technical field of photovoltaic field construction. The system comprises a digital twin module, a construction planning and design module, a monitoring and management module and an interaction module. The digital twinning module constructs a three-dimensional digital twinning model; the construction planning and design module generates a candidate construction material transportation path scheme and a candidate construction equipment scheduling scheme based on a photovoltaic field construction transportation objective function; driving the digital twin model to execute a simulation task, and adjusting the candidate construction material transportation path scheme and the candidate construction equipment scheduling scheme based on a simulation result; the monitoring and management module generates a monitoring result based on the real-time monitoring data of the construction site of the photovoltaic field area; and the interaction module provides information of a photovoltaic field construction site for a user. The construction efficiency is improved, the construction cost is reduced, quality control is achieved, and construction safety and flexibility are guaranteed.

The invention, which relates to the technical field of mineral product screening, discloses an intelligent construction management platform for city updating, comprising the following steps: establishing a unified data standard and a data interface protocol to ensure that data of different systems, departments and enterprises in the platform can be seamlessly jointed; according to the invention, through unifying the data standard and the interface protocol, data sharing of different systems is realized, and project management efficiency and decision accuracy are improved. The real-time data acquisition and intelligent analysis technology enhances the safety monitoring and intelligent early warning functions, and ensures that potential safety hazards in the construction process are recognized and processed in time. Meanwhile, the flexibility and the emergency response capability of the project are improved by a dynamic adjustment and intelligent early warning mechanism, resources and construction plans can be automatically adjusted in the progress of the project, emergency problems can be dealt with, progress delay and resource waste are reduced, and smooth progress of the project is guaranteed.

The invention provides a building construction site material demand sensing method and device based on AI prediction, and relates to the technical field of building data processing. The method comprises the following steps: obtaining construction plan information, construction site pictures, construction environment data and historical construction information of a historical period of time of a target building construction project; obtaining the actual construction progress of the target building construction project based on the construction site picture; performing construction progress prediction based on the actual construction progress, the construction environment data and the historical construction information to obtain a predicted construction progress of the target building construction project in a future time period; based on the predicted construction progress and the construction plan information, determining predicted construction resistance of the target building construction project in a future time period; and inputting the predicted construction progress and the predicted construction resistance into a preset material prediction model based on machine learning to obtain a material demand sensing result of the target building construction project in the future time period. According to the invention, material requirements can be accurately sensed in combination with specific building construction projects.

The invention provides a power construction monitoring method and system. The power construction monitoring method is used for performing remote monitoring on a construction plan to be performed by a constructor, and comprises the following steps: S1, the constructor obtains a current construction site based on a smart watch, and sends the construction site to a construction monitoring server; s2, in response to the received construction site, the construction monitoring server retrieves a construction plan corresponding to the construction site from a preset construction plan library; and S3, based on the retrieval result, the construction monitoring server sends a construction permission message to the smart watch. Through on-site data acquisition and analysis and comparison of a remote server, automatic compliance judgment on construction operation is realized, and the risk of manual wrong operation is eliminated; and the state of the constructor is remotely monitored in the construction process, so that whether the state of the constructor is abnormal or not can be known in time.

The present invention relates to the technical field of concrete construction, and in particular to a concrete environmental impact assessment method based on a life cycle approach. The method comprises the steps of: determining a concrete type on the basis of a construction environment and design requirements of a project; analyzing each stage of concrete engineering in a functional unit, and determining an evaluation range thereof; establishing a region-specific concrete life cycle database; performing inventory analysis on an evaluation range of a concrete life cycle; after the inventory analysis, using component inventories of full-life-cycle concrete to establish indicators on the basis of environmental policies of a construction region, so as to perform an environmental impact assessment; and finally, analyzing and evaluating various energy indicators of the concrete, and guiding the establishment of a subsequent project construction plan. In the assessment method, a full-life-cycle assessment is performed on concrete, the degrees of environmental impact caused by different construction processes in concrete engineering are objectively and holistically assessed, and evaluation and improvement schemes are proposed for the concrete construction, thereby reducing the energy and material consumption in concrete engineering construction.

The invention discloses a high-voltage cable laying construction process intelligent control method and device and a storage medium, and the method comprises the steps: arranging a tension sensor according to a node construction site environment and a construction plan; acquiring traction data at different positions of the cable to control the power output of the tractor; lateral pressure data of the cable is monitored in real time, power output of the traction machine is adjusted, and high-voltage cable laying construction of the node is achieved; visually and dynamically simulating a high-voltage cable laying construction process and recording a construction site environment, a planned traction force and side pressure data, wherein the high-voltage cable laying construction process comprises a plurality of construction nodes; and carrying out construction plan adjustment and resource configuration optimization in the current high-voltage cable laying construction node in combination with the current construction site environment and the construction plan. According to the method, the construction efficiency, the safety, the resource utilization rate and the management efficiency are improved, the construction risk is reduced, the service life of the cable is prolonged, and remarkable economic benefits and social benefits are achieved.

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

The invention discloses a project cost consultation method based on artificial intelligence, and the method mainly comprises the following steps: S1, providing an intelligent system, and obtaining a project quantity list, a construction plan and a material price; s2, receiving and analyzing project requirements through a natural language processing algorithm, and generating a cost consultation task; s3, analyzing the project data by using a machine learning algorithm, and generating a budget scheme and a pre-settlement report; s4, executing risk identification, and providing risk control suggestions; s5, dynamically adjusting a budget scheme based on project progress conditions, and providing cost optimization suggestions; and S6, generating a report including cost prediction, risk control and optimization schemes. The method optimizes the analysis and processing of the cost data through an intelligent algorithm, improves the budgeting accuracy and risk recognition capability, reduces the manual intervention, and improves the working efficiency and decision scientificity.

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

The invention relates to the technical field of building construction, in particular to a prefabricated building construction progress automatic monitoring method. The method comprises the following steps: obtaining a building construction design drawing; based on the building construction design, prefabricated building component design data is extracted; building a building construction three-dimensional model based on the prefabricated building component design data; building component transportation simulation is conducted according to the building construction three-dimensional model, and building component transportation data are obtained; identifying a component cracking degree based on the building component transportation data; performing connection failure analysis based on the component cracking degree to obtain component connection failure data; predicting a reinforcement corrosion risk based on the component connection failure data; evaluating assembly durability based on the reinforcement corrosion risk; and extracting hoisting design data of the building construction design drawing. Based on the building construction technology, the efficiency and accuracy of prefabricated building construction progress monitoring are improved, and the accuracy of construction plan execution and the resource scheduling efficiency are improved.

The invention relates to the technical field of assembly type construction, and discloses an assembly type transformer substation construction method based on a BIM (Building Information Modeling) technology, which comprises the following steps: step 1, decomposing a transformer substation project into standardized module units according to function and structure characteristics, each module unit comprises an equipment foundation module, a steel structure frame module, a pipe ditch module, a cable gallery module, an enclosure wall body module and an equipment interface module, and the geometric dimensions, material attributes and connection nodes of all the modules are defined in the decomposition process. A construction simulation model is generated by combining a BI model and a construction progress plan, the installation sequence, position information and connection operation of each module in a construction time period are decomposed, dynamic visual simulation is carried out by utilizing a virtual reality technology, and the installation positions, connection modes and node geometric relationships of the modules are visually displayed; accurate formulation and visual presentation of the construction plan are achieved, rework or delay caused by a plan blind area is avoided, and the effects of improving construction efficiency and scientificity are achieved.

The invention discloses a repetitive construction project cost optimization method, and particularly relates to the field of project construction. Comprising the following steps: S1, parameter setting: initializing the starting time of a time window and the number of algorithm iterations; s2, generating an initial construction plan; s3, if the starting time of the time window is larger than the difference between the construction period of the initial construction plan and the length of the time window, the starting time of the time window is set to be 0; s4, generating a corresponding relaxation problem by adopting a rolling time domain method; s5, solving the relaxation problem in the step S4 by using a constraint programming method; s6, updating the number of iterations, and updating the starting time of the time window; and S7, repeating the steps S3-S6 until an iteration condition is met, and outputting an optimal solution in an iteration process. By the adoption of the technical scheme, the problem that an existing construction plan compilation method with cost as an optimization target cannot be suitable for different construction scenes is solved, and meanwhile, when medium and large-scale cases are solved, an approximate optimal solution can be obtained within reasonable time.

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

A method is provided for use in constructing solar power-generating installation of a plurality of solar carports at a real property site. An overhead digital image of the real property site is acquired and a geographic region within the real property site is identified as installation sites for the solar carports. A design layout of one or more models of a solar carport is created and includes overlaying representations of the model(s) of solar carports on the geographic region. Then, construction specifications for solar carports in the design layout is created. Also, a set of construction plans in conformance with the design layout is automatically generated. A construction method and machine for implementing the method are also provided.