255 results about "Construction planning" patented technology

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

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

The invention 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 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.

The invention provides a project full-process dynamic management method and device. The method comprises the steps of obtaining project basic information and historical project information; performing economic index evaluation on the project basic information according to a preset standard; if the economic index evaluation is passed, generating a budget file by using the project design scheme; the project design scheme is generated according to project basic information; generating project plan data according to the budget file and the historical project information; and dynamically adjusting a project construction plan by using the project plan data and the periodically acquired project progress and project cost. According to the project full-process dynamic management method and device provided by the invention, dynamic collaborative management of progress, cost and benefit in a project full life cycle is realized, the accuracy of project management decision is improved, and the cost of project construction is effectively controlled.

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

The invention relates to the technical field of engineering project management, in particular to an engineering project whole-process consultation management method and system. Comprising the following steps of S1, collecting contract data related to an engineering project, performing type splitting on the contract data, and performing progress stage distribution on the split contract data in combination with a total construction plan of the engineering project; s2, the uploaded completed construction data and the uncompleted construction plan are collected, related progress stage analysis is carried out on the completed construction data, and correction analysis is carried out on the completed construction data and the uncompleted construction plan in combination with the total construction plan; by integrating contract data and construction plans and utilizing technologies such as time sequence analysis to construct a construction prediction analysis model, the project progress can be accurately monitored and predicted, and in the project implementation process, completed construction data and a total construction plan are compared in real time, and progress deviation is found in time.

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

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

The invention relates to a charging and discharging management method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining multi-source data of a target regional power grid in a preset historical time period, preprocessing the multi-source data to obtain a feature vector, and performing feature extraction processing on the feature vector through a pre-trained deep learning model to obtain an electricity price fluctuation prediction result of the power grid in a specified time period, based on the electricity price fluctuation prediction result and the energy storage system parameters of the power grid, an optimization algorithm is adopted to generate a charging and discharging strategy of the energy storage system, and charging and discharging management is carried out on the energy storage system according to the charging and discharging strategy; the method can systematically analyze the long-term trend and periodic change rule of the electricity price fluctuation, makes up for the defect that the traditional method cannot fully reflect the electricity price fluctuation, can accurately capture the characteristics of the electricity price fluctuation, and provides effective support for the construction planning of a new energy power station, the capacity configuration of an energy storage system and the formulation of a charging and discharging strategy.

The invention provides a three-dimensional visual full-field monitoring method and system for the whole process of bridge rotation, and relates to the technical field of bridge monitoring, and the method comprises the steps: obtaining design parameters and a construction plan of a bridge; generating a dynamic BIM bridge model according to the design parameters and the construction plan; setting a virtual sampling point at the virtual swivel key position of the dynamic BIM bridge model, and setting an actual sampling point at the swivel key position of the swivel bridge; acquiring actual coordinate information of the actual sampling point in a preset coordinate system, and determining virtual coordinate information of the virtual sampling point in the preset coordinate system; obtaining construction environment data of the construction site; determining a construction safety coefficient according to the construction environment data, the construction plan, the actual coordinate information and the virtual coordinate information; acquiring working data of the hydraulic system; determining a stability coefficient of the hydraulic system; and determining a full-field monitoring report. According to the invention, the real-time performance and comprehensiveness of bridge rotation whole-process monitoring can be improved.

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

The invention relates to the technical field of intelligent construction, and discloses a BIM-based intelligent construction method and system, and the method comprises the following steps: S1, deploying a laser scanner, an RFID tag and a displacement sensor; s2, coding sequential logic in the construction plan into a JSON format rule, and importing the JSON format rule into a BIM logic coding unit; s3, establishing an end-to-end data pipeline through 5G SA networking; s4, the cloud server runs the pre-trained three-layer residual convolutional neural network; s5, dynamically adjusting the inspection path of the unmanned aerial vehicle according to the updated BIM coordinates; and S6, monitoring the execution attitude data of the construction machinery in real time through the sensor database. By constructing the BIM and the Internet of Things, construction logic rule codes are embedded into the BIM, dynamic interaction of design-construction data is achieved, two-way association of a physical entity and a virtual model is achieved through the data mapping technology, the mechanical arm is driven to conduct automatic deviation correction, and the construction precision and the automatic construction effect are remarkably improved.

The invention discloses a construction positioning method and system for a railroad bridge, and relates to the technical field of bridge construction positioning, and the method comprises the steps: determining each construction region of the railroad bridge according to a construction planning route of the railroad bridge, a construction time table of the railroad bridge and a construction process table of the railroad bridge; in each construction area, the construction positioning point of the construction area is determined based on the area form of the construction area, the area position of the construction area and the construction procedure corresponding to the construction area, so that the accuracy of the construction positioning point of the construction area is ensured, and the accurate control of the construction positioning of the railway bridge is further realized; therefore, in the construction process of the railroad bridge, the actual construction progress of the railroad bridge is determined according to the construction progress of the railroad bridge, the real-time image of the railroad bridge and the construction positioning point of the construction area; and on the basis of the actual construction progress of the railroad bridge, construction management and control of the uncompleted bridge area in the railroad bridge are triggered.