233 results about "Site management" patented technology

The invention discloses a safe penetration type management method and system for an engineering construction project, and relates to the technical field of constructional engineering, and the method comprises the steps: collecting engineering entity data in real time, carrying out the preprocessing, and generating an engineering state vector; based on the engineering state vector, constructing a digital twinborn model, calling multi-physics field coupling simulation to simulate the whole construction process, and generating a risk early warning report; uploading the risk early warning report and historical construction data to a federated platform, and constructing a dynamic security knowledge graph; performing hierarchical feature learning on nodes in the dynamic security knowledge graph, simulating decision behaviors of a manager, and generating an optimal management and control rule; based on the optimal management and control rule, driving a construction site management mechanism to operate, and forming a closed loop report; by using the digital twin model and the multi-physics field simulation technology, the accurate prediction of potential safety hazards possibly occurring in the construction process is realized, and the accuracy and timeliness of risk early warning are greatly improved.

The invention relates to the technical field of shipbuilding production site management, in particular to a digital intelligent factory management method and system, and the method comprises the steps: building a configurable product structure model, a work decomposition structure model and a technological process model for each ship type, and carrying out the real-time sensing and automatic data collection of parameters of a production site; establishing a uniform resource pool, and marking attributes of resources; dynamically evaluating the requirements of different ship types on shared resources in combination with plans and real-time production states; carrying out resource allocation by using an optimization algorithm; the execution state of each process task is monitored in real time, and key production data is automatically collected; and visually displaying each ship type, the construction progress of each section, the critical path, the resource state and the risk early warning information in real time through a billboard, an instrument panel and a report form. According to the invention, through multi-ship-type unified modeling, real-time data perception and intelligent optimization scheduling, collaborative management, cost reduction and benefit increase in the ship building process are realized.

The invention relates to an automatic education resource generation and dynamic adjustment system and method based on artificial intelligence, electronic equipment and a computer readable storage medium, and the system comprises a resource site management module which is used for integrating an open learning platform, a third-party professional site and college learning resources; the data acquisition module is used for acquiring multi-modal resources related to knowledge points; the digital person making module is used for generating a digital person model and a sound model of the teacher; the resource generation module is used for automatically constructing a PPT and generating a teaching video according to the course large model output; the dynamic adjustment module is used for performing real-time adjustment and intervention on the generated teaching resources according to teaching requirements; and the user interface module is used for interaction operation between students and teachers and the system. According to the method, the generation efficiency of the educational resources is remarkably improved, the individuation and interactivity of the resources are enhanced, the dynamic adjustment and optimization of the resources are realized, and powerful technical support is provided for online education.

The invention discloses an intelligent construction site management method and platform, and relates to the technical field of intelligent construction sites, and the method comprises the steps: obtaining multi-source construction data, and constructing a BIM-Internet of Things fusion model; comparing real-time data with design parameters through the BIM-Internet of Things fusion model, generating a consistency verification result, and uploading the consistency verification result to a block chain evidence storage module; whether an abnormal state exists or not is judged based on the consistency verification result, and if yes, a resource scheduling engine is called to generate an optimized scheduling scheme; adjusting mechanical, manpower and material configuration according to the optimal scheduling scheme, and collecting execution feedback data; and updating the execution feedback data to the BIM model, and comparing the updated design parameters with the field data again to generate a closed-loop feedback verification result. The problems of information splitting, scheduling lag, resource waste, lack of traceability and the like in traditional construction management are effectively solved, and the intelligent, refined and collaborative management level of the construction process is improved.

The present disclosure provides a method for site management that includes launching, from a mobile drone base unit, a drone including a sensor package and an illumination source; tethering, by a tether coupling the drone to the mobile drone base unit, the drone to provide power and maintain communications between the drone and the mobile drone base unit; receiving, from the sensor package of the drone, data related to a construction site; comparing the received data related to the construction site to blueprint data related to the construction site; and in response to identifying a deviation between the received data and the blueprint data, moving the mobile drone base unit to a position allowing the drone to highlight the deviation.

The invention discloses a thyroid disease full-period management system and method, and the system comprises a medical service module which is used for medical registration appointment; the data management module is used for collecting and storing human body life health indications of the patient in the hospital treatment period and in the remote re-treatment period; the follow-up diagnosis monitoring module is used for storing dose change data and setting regular review reminding; the health risk early warning module is used for performing correlation analysis on the disease health risk of the patient according to the human body life health indication and the dosage use data, and giving out doctor seeing guidance according to an analysis result; and the daily health management module is used for giving daily diet suggestions and exercise suggestions to the patient according to the analysis result of the health risk early warning module. The thyroid disease full-period management system shows obvious advantages in the aspects of optimizing the re-consultation process, improving the medical treatment efficiency, enhancing remote management, improving the medical compliance, providing personalized health guidance and the like, and provides more comprehensive, convenient and efficient health management services for patients.

The invention belongs to the field of construction site management, and particularly discloses a BIM-based safety management resource allocation method and a construction grid safety management system, and the method comprises the steps: dividing a construction site into a plurality of grid units, and constructing a BIM model; in the construction process, the construction progress and the attributes of the grid units are obtained in real time based on the BIM model, and then the risk scores of the grid units are calculated through an LEC method; according to the risk score, judging a security risk level to which the grid unit belongs, performing management resource allocation on the grid unit according to the security risk level, and updating the BIM model; and when the construction of the grid units is completed, the grid units are automatically cleared from the BIM model. According to the method, grids are dynamically generated through linkage with the BIM model, and dynamic allocation of safety resources is carried out on construction grids with different construction risks; in addition, the BIM model in the construction grid safety management system is updated in real time, so that the three-dimensional visual management of the construction site can be optimized.

The invention provides an intelligent fire monitoring system and method based on an AI technology. The system comprises a data sensing management layer, a data processing transmission management layer, a business analysis management layer and a fire monitoring operation application management layer. Wherein the data sensing management layer is used for acquiring fire operation field monitoring data and fire operation field monitoring pictures in a target area in real time; the data processing transmission management layer is used for constructing a fire monitoring data middle station based on the fire operation field monitoring data; the business analysis management layer is used for receiving fire operation field monitoring data and is in butt joint with the business analysis management layer; and the fire monitoring operation application management layer is used for processing the fire operation field monitoring data, obtaining an abnormal detection result and carrying out statistics and display on the abnormal detection result so as to realize fire operation field management and related personnel reminding and management. According to the invention, the live working site video collected in real time can be monitored and analyzed, and potential safety hazards in live working can be found and processed in time.

The invention discloses an intelligent construction site cloud platform based on the Internet of Things, and relates to the technical field of construction site management, and the platform employs a multi-mode data fusion technology in combination with RFID, GPS, video monitoring and wearable equipment, monitors the position, behavior and physiological state of a worker, and automatically recognizes the violation behavior of the worker in combination with a deep learning model. Meanwhile, the regional risk coefficient is adopted to dynamically adjust the safety threshold values of the environment and the behavior, early warning adjustment is carried out in different regions according to the risk level, false alarm and missing alarm are greatly reduced, meanwhile, the working environment is monitored in real time through the temperature, humidity and dust environment sensors, and the working efficiency is improved. Early warning is triggered once the environmental condition exceeds the safety range, whether work meets the safety standard or not is judged in combination with environmental factors and worker behaviors, the weight of recent high-risk behaviors is increased through time weighting based on past behaviors of workers, and the current safety state of the workers is preferentially concerned.

The invention provides a steel structure construction site management platform based on the Internet of Things. The acquisition module is used for acquiring component information and construction environment information in real time. And the decision module carries out fusion analysis on the component information and the construction environment information, and carries out deep design on construction structure installation through a BIM technology in combination with a design drawing. And the application module performs review marking on the deepened design drawing, and automatically associates the deepened design drawing according to expert review opinions to further deepen the design drawing to obtain a final construction drawing. And the execution module calls installation equipment and formulates a component installation sequence through the final construction drawing and the component information, and feeds back an execution state to the acquisition module. Through cooperation of all the modules, the assembly efficiency can be improved, and the installation period can be shortened. The installation precision and the installation reasonable rate are greatly improved, the resource utilization rate can be optimized, and the turnover rate of a storage yard is improved.

The invention discloses an in-transit transportation collaborative management and exception handling method and device and a storage medium, and the method comprises the steps: building a transportation state dynamic monitoring mechanism, and collecting the departure state, in-transit position and transportation progress data in real time; automatically detecting transportation abnormity based on a preset rule, identifying departure delay, route deviation, aging overrun and goods damage conditions, and generating early warning information; creating a multi-party cooperative processing channel, and synchronously notifying a dispatcher, a carrier and a field manager when a transportation abnormality occurs; an exception handling tracking mechanism is established, and the whole process from exception discovery to handling completion is recorded; and constructing a transportation data analysis model, optimizing an abnormal early warning threshold value and a processing scheme based on historical transportation data, and regularly generating a transportation efficiency report. According to the invention, a complete management closed loop from state monitoring, abnormity identification and cooperative processing to data analysis is established, discovery and rapid response of transportation abnormity are realized, and the problems of information lag and low cooperative efficiency of a traditional management mode are solved.

The invention discloses a panoramic monitoring and illegal behavior recognition system and method for a water conservancy building construction site. The method comprises the steps that a data processing box calls a preset typical illegal construction behavior database and a typical illegal equipment image database; the method comprises the following steps: acquiring construction personnel behavior images, identifying and identifying the acquired construction personnel behavior images and a typical illegal construction behavior database, comparing construction equipment behavior images with a typical illegal equipment image database, and sending alarm information to a server side when the acquired construction personnel behavior images and the construction equipment behavior images are identified and judged to have illegal behaviors; the intercepted violation picture and the basic attribute information of the construction personnel and the construction equipment are obtained and sent to a server side; according to the method, the recognition result of the illegal behavior displayed on the interface, the heat map of the risk area and the like can be monitored in real time, construction site managers are assisted in quick response, and a powerful guarantee is provided for safe operation of site building construction.

A control system, a management method, and a management program for autonomous driving capable of reliably performing a safety check on a surrounding of an autonomous driving vehicle and reducing a risk of collision during a startup due to a check omission. Whether a safety check is performed is grasped using an in-vehicle camera that monitors a surrounding of a vehicle, a QR code (registered trademark) set at the surrounding of the vehicle, or a one-time password, and an erroneous vehicle is not subjected to a startup by using a check result in response to an instruction to start an autonomous driving by an on-site manager. Further, a range in which the autonomous driving or the remote control operation is permitted is set according to a range in which the check is performed. Accordingly, a risk of collision during a startup of the autonomous driving vehicle is reduced.

The invention relates to the technical field of attendance information processing, in particular to a grid electronic fence attendance monitoring processing method and system. According to the scheme provided by the invention, the work area attendance checking area is generated by creating the instruction in the work area in the electronic fence, the attendance checking area is gridded, then the corresponding target personnel are determined, the positioning information of each target personnel is acquired according to the preset time interval, and the dynamic attendance monitoring information is generated. The system abandons the disadvantage of unified attendance monitoring through an electronic fence in the prior art, can effectively carry out refined attendance monitoring on personnel and tasks corresponding to each work area in a targeted manner, and has good adaptability to monitoring of characteristics of large-scale project personnel, high mobility and the like. The method also can solve the problem that a key process is not followed by a shift or a followed manager is arbitrarily attended, can clearly and intuitively supervise the followed condition of the field manager, can grasp the field risk condition, and can intuitively, continuously and effectively realize risk management and control.

The invention discloses a construction labor service management system and method. The system comprises an entrance management subsystem, an on-site management subsystem and a departure management subsystem. The entering management subsystem is used for inputting identity information of labor service personnel in an entering stage; the on-site management subsystem is used for performing pre-class education management on the labor service personnel through the pre-class education disclosure module at the on-site stage, managing the attendance of the labor service personnel through the attendance module, and managing the salaries of the labor service personnel through the salary management module; and the departure management subsystem is used for managing the underpayment of the labor service personnel in the departure stage. According to the invention, through the full-flow digital closed-loop management of the labor service personnel from the entering stage to the on-site stage to the leaving stage, the standardized and systematized management and control of the construction project on the labor service personnel can be ensured; safety education is ensured to be implemented in place, attendance data is real and reliable, labor service management efficiency is improved, man-made omissions are reduced, rights and interests of labor service personnel are guaranteed, and the problem of debt is avoided.

The invention discloses a big data visualization method and system for an intelligent construction site, and relates to the technical field of intelligent construction site management, and the method comprises the steps: carrying out the standardization processing of construction site data through a data fusion module by employing a federated learning technology and a distributed calculation architecture, and calculating a data fusion efficiency index Df; the data compatibility is optimized by combining an adaptive data cleaning algorithm and a heterogeneous data matching technology, the problem of data islands is solved, and the information sharing efficiency is improved; the environment monitoring module calculates and evaluates an environment risk index Er, and combines BIM, GIS and AR technologies to realize visual early warning of a risk area, so that the accuracy and timeliness of environment monitoring and safety early warning are improved; and the intelligent scheduling module is combined with the construction progress deviation rate Sp, adopts a quantum computing optimization algorithm to intelligently distribute personnel, machinery and materials, and dynamically corrects a scheduling scheme through an adaptive adjustment mechanism, so that intelligent scheduling of construction site resources is realized, and the construction efficiency and the resource utilization rate are remarkably improved.

The air duct switching mechanism comprises an assembly base plate, and two ventilation openings are formed in the assembly base plate; sliding mechanisms are arranged on the side edges of the two ventilation openings, and air duct quick connectors are arranged on the sliding mechanisms. The air duct quick connector is arranged between the two ventilation openings in a sliding mode based on the sliding mechanism. According to the utility model, the problem that a large amount of working surface space is occupied by the air duct in the prior art is solved, and a single-air-duct dual-working mode, namely switching between positive-pressure air supply and negative-pressure air collection, is realized. And the equipment is simple in structure, small in occupied space and convenient for field management.

The application discloses a construction method of a high sound insulation wall body, and the construction standard is specified through unified and strict construction steps, the construction process is simple and easy to understand, standardized construction can be implemented, construction efficiency and construction quality are improved, sound insulation quality of the sound insulation wall body is ensured, on-site management is facilitated, the construction steps and the process can be unified, in the batch construction process, consumption materials can be saved to the maximum extent, the air sound insulation of the wall body can be improved to above 51 dB, low-frequency pipeline noise and high-frequency conversation sound can be effectively insulated, and a quiet environment is provided for hotels, residences, office spaces and the like, and the industry pain point of poor sound insulation of traditional wall bodies is solved.

The invention belongs to the technical field of construction process monitoring, and particularly relates to a construction process monitoring system and method for constructional engineering, and the system comprises a data collection module, a data transmission layer module, a data processing and analysis module, a business application module, a user interaction module, and a system management and integration module. According to the invention, active prevention and control of construction risks are realized through Internet of Things + AI multi-source data fusion; progress-resource-cost integrated closed-loop control is carried out, and intelligent linkage of engineering elements is realized based on BIM and machine learning; a multi-terminal collaborative efficient management closed loop is achieved, and a three-level collaborative chain of'field-management-decision 'is opened; the invention discloses an edge-cloud collaborative lightweight intelligent architecture, and solves the bottleneck of calculation and transmission in a complex environment of a construction site.

The objective of the present invention is to provide a management system capable of appropriately managing a site of interest.　A management system 900 for managing construction sites A to C, etc., comprises sensor devices 1 that measure the magnitude of noise and the magnitude of vibrations at a site of interest, and site terminals 2 that perform site management processing for managing the construction sites A to C, etc., on the basis of the measurement results from the sensor devices 1, wherein: the sensor devices 1 and the site terminals 2 are provided at the construction sites A to C, etc.; the sensor devices 1 each transmit first data, the first data being information corresponding to the magnitude of the noise and the magnitude of the vibrations measured by the sensor device 1 itself, to the corresponding site terminal 2; and the site terminals 2 perform site management processing, which is processing related to factors causing the noise and vibration, on the basis of the first data from the sensor devices 1.

The invention relates to the technical field of construction site management, in particular to a highway construction site Internet of Things positioning and tracking system which comprises a fundamental frequency calculation module, a parameter generation module, a central frequency generation module, a central frequency calculation module and a central frequency calculation module. The fundamental frequency calculation module collects engine rotating speed and angular speed signals and calculates engine vibration fundamental frequency by combining ignition factors. The dynamic filtering module is used for configuring the weighting coefficient as a difference equation parameter, blocking bandwidth energy through convolution filtering and generating a purification angular velocity; the trajectory tracking module is used for calculating the purification angular velocity and a zero deviation value, calling a Runge-Kutta algorithm for integral generation of a course angle, and generating a position coordinate in combination with a driving speed. According to the method, the vibration fundamental frequency is inversely calculated by collecting the rotating speed of the engine, the blocking bandwidth is dynamically constructed according to the interference frequency, the frequency characteristic is mapped to be a difference equation coefficient, vibration noise is accurately stripped, course drift is eliminated, and it is ensured that the positioning coordinates matched with the actual track are output.

The present invention relates to the field of smart construction site management technology, and more specifically, to a smart construction site management system and method. The system comprises an image transmission connection unit, a worker information extraction unit, a worker entry recording unit, a team priority improvement unit, a helmet recognition unit, and a worker priority improvement unit; the image transmission connection unit is used to establish an image transmission connection with a face recognition machine of a real-name system channel of a construction site and a peripheral camera that monitors the real-name system channel, and is connected to a construction site personnel management terminal at the same time; by combining and allocating workers according to team information in worker information, each worker has a clear team affiliation; when workers from multiple teams appear at the same time, team priorities are sorted according to the distance between the pre-identified workers and the face recognition machine, with the team closest to the team having the highest priority; and, in combination with a number of helmet color analysis, the priority of workers wearing the most helmet colors and at the appropriate distance is increased.

The invention discloses a construction site management and control method and device, and the method comprises the steps: obtaining initial point cloud data obtained by scanning a target construction site through a three-dimensional laser scanner; acquiring coordinates of a plurality of key control points of the target construction site acquired by the RTK equipment; converting the initial point cloud data into a target coordinate system based on the coordinates of the plurality of key control points to obtain converted point cloud data; preprocessing the converted point cloud data to obtain target point cloud data of the target construction site; generating an initial construction site map based on the target point cloud data; adding the initial building three-dimensional model of the target building to the initial construction site map to obtain a target construction site map; and performing event detection based on the real scene image of the target construction site, and outputting an event detection result. The accuracy of construction site management and control can be improved.

The utility model discloses a connecting copper bar numerical control punching machine which comprises a working table, two sets of translation mechanisms and punching mechanisms, the translation mechanisms are installed at the top of the working table, the punching mechanisms are installed at the two moving ends of the translation mechanisms, a copper bar is arranged at the top of the working table, and the copper bar is arranged on the working table. Two clamping assemblies used for positioning a copper bar to be punched are arranged at the top of the workbench, a discharging groove is formed in the top of the workbench, and a collecting box is detachably installed at the bottom of the workbench, so that waste generated in the copper bar punching process can directly fall into the collecting box through the discharging groove; by means of the design, centralized collection of waste materials is achieved, the waste materials are prevented from scattering around equipment at will, the environmental sanitation of a production site is greatly improved, a workshop is neater and more orderly, management of the production site and activities of operators are facilitated, the cleanliness and safety of the production site are effectively improved, and convenience is brought to management of the production site.

The invention provides an intelligent construction site management method and device based on the Internet of Things and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: firstly, determining a track semantic representation of construction site monitoring data, and disturbing the track semantic representation to form a disturbed track semantic representation of the construction site monitoring data; secondly, determining track key data in the construction site monitoring data; then, on the basis of the track key data, disturbance suppression is carried out on the disturbance track semantic representation, and suppression track semantic representation of the construction site monitoring data is output; and finally, performing anomaly analysis based on the suppression trajectory semantic representation, and outputting construction site anomaly analysis data of the construction site monitoring data. Based on the above content, the problem of low reliability of intelligent construction site management in the prior art can be improved.

The invention discloses an implementation method for one-in and one-out control of construction site access control, and relates to the technical field of access control. The implementation method for one-in and one-out control of the construction site access control comprises the following steps of: initializing a configuration gate by a system; identifying the identity of a person when the person enters and exits the construction site; monitoring the passage by the gate; through a strict access verification process and a real-time communication mechanism, the accuracy of the on-site state of personnel is ensured, and the reliability of on-site people counting and safety management and control is improved. And secondly, a flexible strategy is adopted when network communication is interrupted, the edge end firstly releases and stores a record, and supplementary transmission is carried out after the network is recovered, so that the continuity of construction site operation is ensured, and the integrity of data is also ensured. Finally, the method enhances the accuracy of attendance management, and reduces the attendance statistical deviation caused by wrong entry and exit records, thereby ensuring the salary calculation fairness of workers, and improving the overall efficiency and level of construction site management.

The utility model provides a substation maintenance construction site management and control system, and belongs to the technical field of substation maintenance. Comprising a mooring unmanned aerial vehicle, a ground station and a control terminal. The mooring unmanned aerial vehicle is electrically connected with the ground station through the mooring cable; a camera and an illuminating lamp are arranged on the mooring unmanned aerial vehicle; an unmanned aerial vehicle loudspeaker is arranged on the mooring unmanned aerial vehicle, and a ground loudspeaker is arranged on the ground station; the control terminal comprises a display screen; the control terminal is in communication connection with the mooring unmanned aerial vehicle and the ground station; the control terminal is used for obtaining video information of the camera and displaying the video information on the display screen, and is used for collecting sound signals and playing the sound signals in real time through the unmanned aerial vehicle loudspeaker and the ground loudspeaker. According to the utility model, the observation field of the mooring unmanned aerial vehicle is utilized to comprehensively observe the working site, and the working personnel are comprehensively managed and controlled by monitoring the video picture of the mooring unmanned aerial vehicle by the working personnel or automatically identifying the moving position of the working personnel, so that the working personnel can be prevented from mistakenly entering a dangerous area.

The invention provides an ethylene oxide device online analyzer maintenance safety management system, which relates to the technical field of equipment maintenance information management, and is characterized in that the system comprises a DCS control system and an on-site management control system, the DCS control system is composed of a plurality of groups of signal detection, transmission and sensors, and is arranged at the state identification position of corresponding equipment, and the on-site management control system is connected with the DCS control system. Remote information identification and control are carried out through light signals and control buttons, and the on-site management control system independently gathers and collects operation state information of all the devices and carries out state judgment and control according to the light information and the buttons; the DCS control system and the field management control system judge and identify the state of the equipment in real time through wireless signal transmission, and control the operation of the corresponding equipment under bidirectional information confirmation, so that the safety management effect is improved. The system has the advantages that the whole set of maintenance work of the equipment can be fully supervised and remotely and safely controlled, the data after maintenance is analyzed and processed, and the overall stability and maintenance effect are improved.

The present application discloses a supervision method for bridge maintenance operations, belonging to construction site management, including: respectively establishing a sensor model, a personnel model and a bridge BIM model; registering the sensor model and the bridge BIM model by using a geographic coordinate system; integrating the personnel model, the registered sensor model and the bridge BIM model through a GIS platform to obtain a digital twin scenario based on BIM+GIS; obtaining the GPS coordinate data of the operating personnel through an intelligent safety helmet and converting the GPS coordinate data into coordinate data in a Cartesian coordinate system; establishing a multi-source data correction mechanism to correct the coordinate data in the Cartesian coordinate system; and displaying the positions of the operating personnel in real time in the digital twin scenario through the personnel model according to the corrected coordinate data. Aiming at the low positioning accuracy of operating personnel caused by GPS signal drift in bridge maintenance, the present application improves the supervision positioning accuracy.

This invention relates to the field of power grid operation safety technology, and discloses a method and system for intelligent identification of transmission line outer sheath damage based on deep learning. The method includes the following steps: acquiring original images and BeiDou coordinates, completing timestamp alignment and basic preprocessing to obtain an enhanced image as the inference input; using a unified model to perform multi-task inference on the enhanced image, outputting a multi-instance inference set, and performing temperature calibration on the classification confidence, calculating the centroid / box center, normalizing the severity, and measuring uncertainty; the multi-instance inference set includes bounding boxes, segmentation masks, severity scores, classification confidence, and uncertainty. This invention can suppress the impact of positioning errors on identification and early warning in scenarios with obstruction and multipath conditions such as valleys, urban canyons, and metal structure reflections, reducing the risks of missed detections, false detections, and delayed handling, improving stability and robustness in complex weather and long corridor scenarios, and achieving all-weather, low-latency, and traceable on-site management.