33 results about "Construction automation" patented technology

The invention relates to the technical field of building construction automation, in particular to a concrete precast slab vibrating and leveling robot and method.The robot comprises a truss-type mechanical arm, a first truss-type Y-axis mechanical arm and a second truss-type Y-axis mechanical arm, and the truss-type mechanical arm comprises an X-axis movement mechanism, a first truss-type Y-axis mechanical arm and a second truss-type Y-axis mechanical arm; the first telescopic mechanical arm and the second telescopic mechanical arm are respectively mounted at the moving ends of the first truss type Y-axis mechanical arm and the second truss type Y-axis mechanical arm; the vibrating actuator is connected with the tail end of the first telescopic mechanical arm; the leveling actuator is connected with the tail end of the second telescopic mechanical arm; the visual device is used for photographing the concrete precast slab mold table entering the operation station according to a preset period to obtain a concrete slab image corresponding to the preset period, and sending the concrete slab image to the electrical control device; and the electrical control device is used for controlling the vibration actuator and the leveling actuator to sequentially complete vibration operation and leveling operation of the concrete prefabricated slab based on the BIM drawing of the prefabricated slab and the obtained concrete slab image.

The invention discloses a hanging basket motion control method and system based on operation state recognition, particularly relates to the technical field of bridge construction automation, and is used for solving the problem of poor synchronous control of hanging basket movement. According to the method, working conditions are accurately recognized through multi-source sensing data fusion and a finite-state machine, servo system parameter self-adaptive setting is achieved based on working condition parameter mapping, and an anti-interference movement track is generated by adopting a model prediction control algorithm fusing pose feedback and wind load feedforward; walking synchronization and platform stability are achieved through cross coupling control and posture closed-loop fine adjustment, emergency response is provided through the independent safety guarding thread, control and protection double closed loops are formed, and therefore the motion precision, the anti-interference capacity and the intrinsic safety level of the hanging basket under the variable-load and strong-disturbance working conditions are effectively improved, and the safety of the hanging basket is improved. And the energy consumption and the mechanical vibration frequency in the moving process of the hanging basket are reduced.

The invention relates to the technical field of road construction automation and intelligent control, discloses an intelligent sensing and control road laying automation method and system, and aims to solve the problem of unstable construction quality caused by discontinuous sensing data, poor equipment collaboration and lack of closed-loop feedback in the prior art. The method comprises the steps that operation parameters and material state data of paving and compacting equipment are collected in real time through a multi-mode sensing module; performing space-time alignment and fusion on the multi-source heterogeneous data, and constructing a high-precision three-dimensional digital construction model; and on the basis of a model prediction control algorithm, combining the laying quality prediction model and multi-objective optimization to generate optimal equipment control parameters. According to the scheme, intelligent sensing, self-adaptive decision making and accurate control in the construction process are achieved, the pavement flatness, the compaction uniformity and the construction efficiency are remarkably improved, manual dependence and resource waste are reduced, and the construction safety and the engineering quality traceability are enhanced.

The invention relates to the technical field of tunnel construction automation, and discloses a drilling and blasting method tunnel machine group cooperation large machine intelligent scheduling system comprising the following steps: an Internet of Things sensing unit used for obtaining an equipment individual state; the macroscopic scene visual perception subsystem is used for identifying a macroscopic scene event; the state data management module is used for calculating a dynamic influence factor which can be attenuated along with time and can be adjusted for the state and the event; the decision potential field construction module is used for generating a space decision potential field model containing attraction potential and repulsion potential according to the dynamic influence factors; and the scheduling instruction generation module is used for planning a path based on the potential field model and generating an instruction. According to the method, the unified decision potential field adjusted by the dynamic influence factors is constructed, the scheduling problem is converted into the path planning problem, and unified and efficient scheduling of conventional processes and emergencies is achieved.

The invention relates to the technical field of ocean engineering construction automation, and discloses a hinge sinking mattress construction real-time monitoring control system based on multi-sensor fusion, which inverts a near-field hydrodynamic environment acting on a hinge sinking mattress through a hydrodynamic field inversion module by using strain measurement data and a parameterized forward dynamical model, and performs real-time monitoring and control on the hinge sinking mattress. The state fusion estimation module fuses sparse absolute position measurement data and high-density form measurement data in an extended Kalman filtering framework, introduces form manifold projection correction, and accurately estimates the position, attitude and form of the sinking mattress. And the predictive control decision module takes the estimated system state and the inverted near-field hydrodynamic environment as input, and solves an optimization problem to generate an optimal control sequence under multiple constraints of considering structural safety and physical limitation of an execution mechanism. According to the method, active suppression of hydrodynamic disturbance is achieved, the robustness and precision of state estimation are improved, and the automation level and efficiency of hinge sinking construction are remarkably improved.

The invention discloses a data warehouse intelligent construction and management method and system, and belongs to the technical field of data warehouse construction and management, and the data warehouse intelligent construction and management method comprises the steps: obtaining an enterprise data source, and extracting the feature parameters of the data source; constructing a data warehouse logic model; self-adaptive ETL configuration parameters are defined; constructing a three-layer physical architecture comprising a data access layer, a data storage layer and a data service layer; intelligent cache strategy configuration is executed based on a deep learning algorithm, a three-level cache architecture is established, and a pre-cache rule and a failure strategy are defined; and running management optimization is implemented through a multi-objective optimization function. According to the method, the construction automation level is remarkably improved, the cache hit rate is increased, the average query response time is shortened, the data consistency and the system performance are effectively balanced, the elastic adaptive capacity of the system is enhanced, the operation and maintenance complexity and cost are reduced, and meanwhile efficient sharing of cache resources is achieved on the premise that data security isolation is guaranteed.

The invention provides a communication driver and interface construction automation solution providing method, device and system for machinery equipment. The system may comprise a memory for storing instructions and a processor. Instructions, when executed by a processor, provide a universal driver, the system can communicate with PLCs of a plurality of manufacturers, receive address mapping data in the form of Excel files and automatically analyze the data through a memory analyzer, generate PLC I / O mapping according to the analyzed data, automatically generate corresponding source codes, compile generated source codes, and send the generated source codes to the processor. And automatically linking the compiled program with the PLC I / O, and automatically generating and storing a log generated in the system operation process. The system automatically analyzes stored log files to assess system performance and errors, visualizes equipment states and test consistency line by line according to analysis results, and controls and provides the results to a user terminal.

The invention relates to a transformer substation civil construction area multi-source fusion navigation positioning method and system, a medium and a processor. The method comprises the following steps: constructing a construction area static digital map containing an electronic fence; collecting multi-source positioning data and environment data; obstacles are identified based on the environmental data, and a real-time dynamic map is constructed in combination with the static map; the real-time pose of the robot is obtained through multi-source positioning data fusion and high-precision calculation; planning a robot operation path according to the construction task instruction and the real-time dynamic map; and generating a motion control instruction in combination with the real-time pose and the planned path. According to the invention, by fusing multi-source data such as GNSS, laser radar, IMU and the like, continuous and high-precision navigation positioning in a complex dynamic environment of the transformer substation is realized, dynamic obstacle avoidance, electronic fence verification and multi-device cooperative scheduling are supported, and the construction automation and safety level are improved.

This invention belongs to the field of building construction technology, and specifically relates to a non-electrified pneumatic dewatering device for building foundations. It includes an air storage tank, a controller connected to the side wall of the tank, a support frame connected to the side wall of the tank, and an air compressor connected to the upper side wall of the support frame. This fully automated pneumatic dewatering technology can complete foundation pit dewatering tasks with high quality and quantity, offering significant economic and environmental benefits. It not only powerfully promotes the improvement of project technological efficiency and green construction standards, but also demonstrates high promotional value in improving energy efficiency and upgrading the automation level of engineering construction. It can be widely applied under different geological and hydrological conditions and continuously optimized and improved to fully release the core functional value of fully automated pneumatic dewatering technology in the field of engineering dewatering.

The application belongs to the technical field of building construction automation, and specifically discloses a collapse-resistant operation sequence planning method and device for a steel bar binding robot. The method comprises the following steps: determining a plurality of candidate binding nodes based on the current binding state and support point distribution information of a steel mesh load area currently bearing the load of the robot; performing mechanical response analysis on the steel mesh load area by using the support point distribution information to determine the optimal mechanical response data of the steel mesh load area after each candidate binding node is bound under different working conditions; determining the grid stability score corresponding to each candidate binding node based on the optimal mechanical response data, and selecting the candidate binding node with the maximum grid stability score as the next binding node; and controlling the robot to move to the next binding node for binding operation according to the planned path when the grid stability score is maximum. Through the application, a full-automatic operation mode can be realized without manual pre-binding to ensure construction stability.

The present application provides a kind of cable drive steel bar binding robot plum binding method, system and equipment, it is related to building construction automation and intelligent equipment technical field, the present application is by obtaining the three-dimensional space coordinate data of steel bar intersection point and design interval parameter, constructs unbound intersection point set and calculates minimum adjacent distance parameter;Through plum spacing adaptation index, point position screening determination is carried out;In the condition of meeting the adaptation condition, standard binding action is executed, and based on stable torque peak and local deformation variable, node fastening quality index is calculated, node fastening ability determination and enhanced rebinding adjustment are realized;At the same time, through plum structure balance index, the overall distribution balance of region is evaluated, and when not meeting the condition, space rearrangement and path reconstruction are carried out.The method forms the closed-loop control mechanism of space adaptation, node quality and regional balance, improves the automation level of plum binding operation and the stability of construction quality.

1. Name of the product in this design: Plastering Robot. 2. Purpose of this design: It is used for plastering, leveling, and finishing of interior walls in buildings, and is a type of automated construction equipment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

An end-to-end well construction system includes an e-program for receiving a first input selected from well planning data, rig historical performance data, rig parameters, drilling engineering input, management of change, and a combination thereof, and configured to produce a first output selected from a machine and / or human readable sequence, a time depth curve, a drilling program, and a combination thereof, and a second output including analytics data. Further, the end-to-end well construction system includes a drilling control layer, configured to receive the first output from e-program, and to produce a third output including an automated sequence, and a smart well analytics system configured to receive the analytics data from the e-program and a second input selected from drilling data, downhole data, base data from the e-program, a modeling software, and a combination thereof, and to produce a fourth output to the drilling control layer for automated adjustment.

This invention discloses an intelligent control system for climbing scaffold formwork, comprising a climbing scaffold platform, a climbing scaffold power system, a bidirectional drive integrated component, a first rangefinder, a second rangefinder, an intelligent identification and clamping component, a formwork system, traction lines, formwork support cylinders, and a PLC controller. The climbing scaffold platform is positioned on the side of a shear wall. The intelligent identification and clamping component can clamp or release the formwork system and can identify the formwork system. The intelligent identification and clamping component includes an assembly frame, a clamping mechanism, and an industrial camera. The clamping mechanism, the industrial camera, and the first rangefinder are respectively mounted on the assembly frame, with the first rangefinder and the industrial camera respectively positioned on both sides of the assembly frame. The second rangefinder is positioned at the bottom of the vertical drive component. The industrial camera can identify the position of the formwork system, and the vertical drive component can drive the intelligent identification and clamping component to move vertically, thereby effectively improving the automation level and safety of climbing scaffold formwork construction.

The application relates to the technical field of electric power construction automation, and discloses an electric power robot control method and system based on a visual voice action model, the method of which improves the VLA visual voice action model by aiming at an electric power construction scene, strengthens the full connection layer of a feedforward neural network in a nonlinear transformation attention layer of the VLA visual voice action model, and replaces the full connection layer with a combination of a deep separable convolution layer and a full connection layer, so that the deep separable convolution layer can capture the local spatial continuity hidden in a Token sequence, the feedforward neural network can obtain a local spatial convolution mechanism similar to the local receptive field of a CNN, and the full connection layer can model global correlation, the spatial perception ability of the CNN and the global modeling ability of a Transformer are effectively combined, the spatial understanding ability of the VLA visual voice action model is improved, and the VLA visual voice action model is beneficial to more accurately controlling an electric power robot to complete a complex task in a complex electric power construction scene.

The application discloses a concrete vibration compactness detection and self-adaptive frequency modulation system and method, and relates to the technical field of building engineering construction automation. The system comprises a vibration excitation device, a variable frequency driving device and a control unit. The control unit collects the active current component and output voltage of the variable frequency driving device, carries out compensation and normalization processing on the active current component, self-adaptively calibrates a reference threshold value, carries out smooth filtering on the compensated active current component and extracts the time domain first-order derivative feature, identifies the concrete evolution stage based on the sign and amplitude of the first-order derivative feature, and judges that the compact state is reached when the preset condition is met within continuous multiple sampling periods, then controls the variable frequency driving device to smoothly reduce the vibration frequency to the pressure maintaining frequency and maintain the preset time length before stopping the vibration. The system can realize self-adaptive calibration of the threshold value, automatic confirmation of the concrete state and phased regulation and control on the vibration excitation device, solves the problems of reference drift and over-vibration segregation, and improves the engineering quality.

The invention provides brick paving robot equipment for a pedestrian path. The brick paving robot equipment comprises a movable chassis, a paving executing mechanism, a feeding assembly, a detecting and positioning module, a control and communication module and an energy assembly. Wherein the movable chassis is used for moving a involved pen on the ground; the paving execution mechanism is used for realizing automatic grabbing, accurate alignment, flat paving and intelligent compaction of bricks; the feeding assembly is used for automatically providing raw materials for the paving executing mechanism. The detection positioning module is used for realizing centimeter-level path positioning and construction environment identification; the control and communication module is used for path planning control, task scheduling, abnormity identification and data transmission; the energy assembly is used for providing energy for work of the equipment. According to the brick paving robot equipment for the pedestrian path and the construction method, the construction automation degree is remarkably improved, and the manual labor intensity is relieved; the invention further provides a specific construction method of the equipment.

This invention discloses a method for the integrated cyclic erection of prefabricated steel plate composite beam bridges in mountainous areas, belonging to the field of intelligent bridge construction technology. Addressing the challenges of complex mountainous conditions, including difficulties in manual decision-making and conflicts among multiple objectives, this method proposes an intelligent erection approach based on real-time multi-objective optimization and digital twin closed-loop correction. The method includes: generating a Pareto front representing the optimal trade-off between structural safety, operational efficiency, and installation accuracy based on multi-source sensor data in real time; locating the current optimal working point on the Pareto front according to a self-learning dynamic construction strategy and mapping it to collaborative control commands; executing the commands and using a digital twin model for predictive feedback comparison, online model calibration, and iterative optimization of subsequent decisions to form a closed-loop intelligent control. This invention achieves adaptive and precise control for complex conditions such as narrow pier tops and small curve radii, improving the level of construction automation and safety, and ensuring the efficiency and accuracy of cyclic operations.

This application relates to the field of automation technology in marine engineering construction, and discloses a real-time monitoring and control system for hinged raft construction based on multi-sensor fusion. Through a hydrodynamic field inversion module, strain measurement data and a parameterized forward dynamic model are used to invert the near-field hydrodynamic environment acting on the hinged raft. A state fusion estimation module, within an extended Kalman filter framework, fuses sparse absolute position measurement data and high-density morphological measurement data, and introduces morphological manifold projection correction to accurately estimate the raft's position, attitude, and morphology. A predictive control decision module uses the estimated system state and the inverted near-field hydrodynamic environment as inputs, and solves an optimization problem to generate the optimal control sequence under multiple constraints considering structural safety and the physical limitations of the actuators. This invention achieves active suppression of hydrodynamic disturbances, improves the robustness and accuracy of state estimation, and significantly enhances the automation level and efficiency of hinged raft construction.

This invention discloses a tunnel boring machine (TBM) spoil weighing system. By setting up a wireless data collector and multiple weighing components, this invention realizes online measurement of spoil weight and transmits the data to the TBM control system in real time. This allows the TBM to dynamically adjust tunneling parameters based on the amount of spoil produced, improving the level of automation and intelligence in construction. The weighing components use pressure sensors and triggering components. During spoil transportation, the weight of the truck bed is no longer applied to the pressure sensors, avoiding long-term pressure on the sensors and causing elastomer fatigue, thus extending the sensor's service life and ensuring weighing accuracy.

The invention provides a private npm packet automatic management method and device, electronic equipment and a storage medium, and relates to the technical field of front-end construction automation. The method comprises the following steps: monitoring an introduction operation and a deletion operation of a private npm packet in a source code of a front-end project in real time; when the introduction operation is monitored, checking whether an introduced target private npm packet exists in a nodemodules folder or not; if not, pulling the target private npm packet from the preset private npm source and automatically installing the target private npm packet; if so, not processing; the target private npm package is introduced into the source code through a packaging tool, hot updating is executed, and a web page is refreshed; or, when the deletion operation is monitored, scanning the global source code to confirm that no associated reference exists, and deleting the target private npm packet in the nodemodules folder; and removing a code corresponding to the target private npm package through a packaging tool, executing hot update and refreshing the web page. Automatic processing of private npm packet introduction and deletion is realized, and packet management efficiency and security are improved.

This invention relates to a carbon dioxide fracturing system and control method, belonging to the field of oil and gas extraction technology. The carbon dioxide fracturing system of this invention includes a liquid supply module, a fracturing pump injection module, a precooling module, a venting module, and a control module. The liquid supply module stores and supplies liquid carbon dioxide. The fracturing pump injection module is connected to both the liquid supply module and the well to be fractured. The precooling module is connected to the liquid supply module to precool it. The venting module is connected to both the liquid supply module and the fracturing pump injection module. The control module is connected to the liquid supply module, fracturing pump injection module, precooling module, and venting module to monitor and control their operation. The technical solution disclosed in this invention can solve the problems of low automation in existing carbon dioxide fracturing operations, which generally rely on manual operation, resulting in high labor intensity and safety hazards.

The application discloses a hanging basket motion control method and system based on operation state recognition, and particularly relates to the technical field of bridge construction automation, and is used for solving the problem of poor synchronous control of the hanging basket movement; the application accurately identifies the working condition through multi-source sensing data fusion and a finite state machine, and realizes adaptive setting of a servo system parameter based on working condition parameter mapping; a model prediction control algorithm fusing pose feedback and wind load feedforward is used to generate a disturbance-resistant motion trajectory; walking synchronization and platform stability are realized through cross-coupling control and attitude closed-loop fine adjustment; an independent safety guardian thread provides emergency response, and a double closed loop of control and protection is formed, so that the motion precision, disturbance resistance and intrinsic safety level of the hanging basket under variable load and strong disturbance working conditions are effectively improved, and the energy consumption and mechanical vibration frequency in the motion process of the hanging basket are reduced.

The invention provides an engineering construction automatic checking method and system, electronic equipment and a readable medium, and belongs to the technical field of image processing. According to the scheme, after the construction receipt image of the target project is obtained, automatic checking is executed on the basis of the construction receipt image, and a correspondingly configured checking algorithm can be automatically executed in the pre-arrangement process, so that the checking result of the target project is obtained; wherein acceptance compliance check, scene consistency check, construction result check and the like can be automatically carried out. According to the scheme, the dependence of the checking process on manpower can be reduced, high automation is realized from acquisition of the construction receipt image to output of the checking result, different checking items can be modularly and flexibly deployed, configuration is performed according to actual engineering requirements, and wide engineering adaptability is achieved.

The invention relates to the field of open caisson construction automation control, and discloses an intelligent cooperative control system of open caisson soil sampling equipment, which comprises one or more open caisson soil sampling equipment, the control device is in communication connection with the open caisson soil sampling equipment; the control device is equipped with the following modules: a state sensing module; the global decision module is connected with the state sensing module; the collaborative correction module is connected with the state sensing module and the global decision module; the execution control module is connected with the collaborative correction module; and the adaptive learning module is connected with the global decision module. Through global state data such as open caisson attitude and risk prediction, various system control modes such as conventional, correction and avoidance are automatically switched, and a global control priority vector is adjusted, so that the technical effect that a system control strategy is dynamically matched with a current operation working condition is achieved; the purpose of enhancing the self-adaptive capacity of the system to cope with complex working conditions and the overall operation safety is achieved.

A data entry and analytics system is configured to receive and vet digital project design data and support construction automation processes. The overall system includes a centralized data entry and analytics component configured to receive digital project design data for a project design from at least one upstream source; analyze the digital project design data to determine whether the data competently supports a complete construction of the project design in an automated manner; provide a mechanism for updating the digital project design data so as to ensure the data competently supports the project design and an automated complete construction thereof; and communicate the digital project design data as vetted to downstream components for enabling and competently supporting completion of the project design and the automated complete construction thereof. Certain analogous methodology is further disclosed.

The utility model relates to the technical field of bridge foundation construction automation, in particular to an automatic adjusting device for a variable-position mooring rope in the lowering process of a bridge open caisson foundation. Comprising a variable-position cable combination structure, a control driving structure, a data acquisition structure, a data analysis processing structure and a visualization structure, the variable-position cable combination structure is fixed to the side face of an open caisson foundation, and the control driving structure is fixed to the top of the open caisson foundation; and the data acquisition module is connected with the data analysis processing module and is mounted in the center of the top end of the open caisson foundation. According to the automatic adjusting device for the variable-position mooring rope in the lowering process of the bridge open caisson foundation, the change of the relative position of the limiting mooring rope and the side wall of the open caisson is achieved through a variable-position mooring rope combination structure, the engineering applicability of the arrangement mode and position of the mooring rope is enhanced, monitoring data are received and processed in real time through the Raspberry Pi, and the monitoring accuracy is improved. And the posture and the position of the open caisson structure in the lowering process are adjusted in real time.

This invention relates to the field of environmental monitoring and construction automation, and discloses a low-carbon monitoring method and system for substation construction processes combined with intelligent control. The method includes: accumulating the instantaneous carbon emission rate of equipment to obtain the cumulative carbon emission of the equipment; assessing the natural carbon absorption of the construction area when undisturbed by construction to obtain the vegetation carbon absorption of each grid cell; acquiring the equipment magnetic field data after removing ghost signal fragments; constructing a linear fitting relationship between magnetic field anomalies and equipment operational anomalies corresponding to the equipment magnetic field data, acquiring equipment operational anomaly data during the construction period to obtain the equipment magnetic field anomaly data; calculating the carbon absorption loss of vegetation during the construction period; and assessing the net carbon emission during the construction process based on the cumulative carbon emission of the equipment, the vegetation carbon absorption of each grid cell, and the carbon absorption loss of vegetation during the construction period, and comparing it with a net carbon emission threshold to obtain the carbon emission monitoring results. This invention is beneficial for green and low-carbon construction.