65 results about "Project site" patented technology

The invention discloses a construction engineering management quality control system and a risk management method, and relates to the technical field of construction engineering management, and the key point of the scheme is that the system comprises a risk analysis module, an engineering environment monitoring module, an engineering quality detection module and a structure specification examination module. According to the method, dynamic management of project quality and risks is realized by analyzing construction project data and monitoring a project site in real time, the risk level of the construction project is accurately quantified through multi-factor risk assessment, and compared with a traditional method, potential risks can be identified in the early stage of the project, prevention measures can be taken, and the risk level of the construction project can be accurately evaluated. The potential risk occurrence rate is remarkably reduced, the transparency of the construction process is improved through integrated analysis of real-time videos and sensor data, project managers can monitor quality control points in real time, construction strategies are adjusted in time through immediate recognition and analysis of concrete surface defects, the construction process is optimized, and the construction efficiency is improved. And the overall safety and success rate of project management are improved.

The invention relates to the technical field of project site selection decision support, in particular to an intelligent project site selection decision support system and method based on ArcEngine. The method specifically comprises the following steps: integrating site selection data, and realizing unified management of geographic information and coordinate system conversion by utilizing ArcEngine; missing values and abnormal values are processed by adopting multilayer perception interpolation, Bayesian interpolation, adaptive density clustering and random forest correction technologies, and data reliability is ensured through a standard verification code mechanism; building a comprehensive evaluation model of resource accessibility, environmental suitability and cost control, generating an optimal solution and simulating a long-term industrial evolution trend; through industrial chain modeling, multi-agent game analysis and a network optimization algorithm, node benefits and a synergistic effect are quantified, and supply chain dynamic scheduling is optimized in combination with reinforcement learning. According to the method, site selection scientificity and industrial cooperation benefits are remarkably improved, and the method is suitable for complex site selection requirements of the modern coal chemical industry heavy asset industry.

The invention discloses a project quality management method and system based on an AI large model, and relates to the field of project quality management.The project quality management method comprises the steps that panoramic equipment is installed on a tower crane on a project site, and a panoramic image is collected through the panoramic equipment; performing semantic segmentation on the panoramic image by using a pre-constructed risk control model; carrying out hidden danger investigation on each grid region, and collecting a hidden danger target image of a hidden danger target through panoramic equipment; inputting the hidden danger target images into a pre-trained hidden danger classification model, and classifying the hidden danger target images; according to the hidden danger target type label and the position coordinate, collecting a local image of the hidden danger target in a preset range; fusing the hidden danger target image with the corresponding local image; and mapping the fused image into a BIM model through three-dimensional reconstruction to obtain a digital twinborn model of an engineering site, and performing engineering quality management by using the digital twinborn model. Aiming at the problem that hidden danger investigation in the engineering field is not timely in the prior art, the hidden danger investigation efficiency is improved.

The invention discloses a project site cost risk management method and system, and the method comprises the steps: obtaining a frame mode layer based on the site cost management scene historical data and site cost management business process historical data of a project object sample; processing the framework mode layer and an on-site cost standard database obtained through a selected on-site cost management file and a historical engineering settlement review manuscript to obtain a data layer; determining a field cost management knowledge graph according to the framework mode layer and the data layer; determining a risk management list of the target project object according to a matching result of the target project object and the field cost management knowledge graph; and screening the field cost file data of the target project object according to the field cost standard database, and generating a risk management scheme corresponding to a screening result based on the field cost management knowledge graph. According to the method, online indexing of project site cost knowledge, automatic identification and positioning of site cost risks and automatic generation of a risk management scheme are realized.

The invention discloses an intelligent analysis method for major project site selection and generation, and the method comprises the steps: 1), building an analysis database based on layer data; 2) establishing an operator library, a model library and an index library; 3) constructing a site selection intelligent analysis model based on the operator library, the model library and the index library; 4) obtaining one or more project intentional land use ranges uploaded by a user, inputting the ranges into the intelligent site selection analysis model, determining evaluation indexes of the project intentional land use ranges, and binding the index values to the corresponding layer data items; 5) establishing a rule engine based on a decision tree; and 6) performing intelligent judgment on a calculation result by utilizing a rule engine in combination with a service rule, optimizing a calculation process, and generating an intelligent analysis report. According to the method, through a spatial parallel computing technology, a mode of overlay analysis of global mass basic data is adopted, and help is provided for proprietors to expose and solve major contradictions in the early stage of a project in advance.

The invention discloses a project site multi-modal data acquisition system based on AI (Artificial Intelligence) equipment, which efficiently accesses project site multi-modal data through a data acquisition module by utilizing a mobile internet, the equipment and an AI biological recognition technology, improves data comprehensiveness, accuracy and real-time performance, and improves the project site multi-modal data acquisition efficiency. The software and hardware matching scheme module is based on a process driving mechanism of a template, different project requirements are flexibly adapted, the management efficiency and normalization are improved, the Internet of Things equipment management module realizes intelligent monitoring and management and enhances safety and convenience, the electronic data storage module provides a mobile cooperation terminal, project labor service data signing is completed online in the whole process, and the management efficiency is improved. The work authenticity and efficiency auditing module forms an auditing mechanism, the real situation and efficiency level of field work are accurately reflected, problems can be found in time, project quality and efficiency are improved, and intelligentization, standardization and high efficiency of field labor service management are achieved.

The invention discloses an intelligent construction system of a life safety training venue based on multi-source data fusion, relates to the technical field of building construction, and aims to solve the technical problems that the construction site planning of the life safety training venue is random, the engineering planning is inaccurate and the construction process lacks collaborative early warning. The intelligent acquisition module is used for intelligently acquiring life safety training venue construction project site information and life safety training venue construction project information; the data information management module is used for classifying and transmitting the acquired information to a data center; the modeling module is used for establishing a three-dimensional model of the life safety training venue; and the construction planning module is used for performing intelligent construction planning on the three-dimensional model. The problems that traditional construction site planning is random, the site utilization rate is low, potential safety hazards are large, task time estimation in construction engineering planning is inaccurate, and the construction period is difficult to guarantee are effectively solved, and venue construction is more scientific, efficient and safe.

The invention discloses a method and a system for detecting the falling risk of a critical edge hole of a major project, and belongs to the field of falling safety monitoring, and the method comprises the steps: collecting the critical edge danger information of a project site, building a data set, converting the video monitoring data of the project site into a picture frame, and carrying out the marking processing. Constructing a yolov8 improved model, and detecting data set information of the security equipment; the protection device data set is sent to a Fast R-CNN for training, and a protection device detection model is obtained; and an improved ST-GCN model is constructed, human skeleton joint point information is sent into the improved model for training, hyper-parameters are optimized, the model performance is improved, and accurate identification of dangerous behaviors is realized. And inputting the results of the multi-class edge risk information into a constructed multi-class multi-source information fusion early warning rule method, performing calculation processing, and then triggering an early warning mechanism to perform visual alarm, so that the risk detection effect and the anti-interference performance of the system are improved, and the method is suitable for major engineering edge hole falling risk management.

The invention discloses an intelligent management and control method based on the full life cycle of a steel structure, and relates to the technical field of intelligent management of steel structures. According to the method, the bridge steel structure digital intelligent manufacturing cloud platform is constructed, the steel structure full-life-cycle intelligent control method is designed based on the cloud platform, the component production technological process is randomly set through the graphical process designer and the cloud platform, information is automatically circulated in the component manufacturing process, project component data is clear and visible, and the construction efficiency is improved. The production management level and production benefits are improved, the technological process is optimized through the cloud platform, production tasks are distributed, teams and related production personnel receive the tasks through mobile phone APPs, production entry information, quality information and the like are filled in the production process, production component models and part models are visually browsed in the production process through the BIM technology, and the production efficiency is improved. The project condition is visually browsed on the project site by means of the BIM technology, and the installation progress of the project is mastered.

It is economically difficult to build an IT system tailored to the specific needs of a loss-making project site. [Solution] The server 50 has a basic application provision unit 51 that provides basic applications for use in the IT system, and a custom unit 52 that receives orders for application development to customize the basic applications. The custom unit 52 has a ticket management unit 53 that processes ticket issuance and other operations, and a ticket display unit 54 that displays tickets. The ticket management unit 53 issues tickets to users when the user completes the purchase process. Vendors sell a certain number of tickets to users in advance, and users pay vendors with tickets according to the site. Extra tickets can be purchased at profitable sites and the surplus tickets can be used at unprofitable sites, so an IT system can be built at any site.

A method and a system for online integrated environmental monitoring, assessment, and impact visualization of projects are disclosed. The method includes receiving project site data representing the geographical boundary of a project in a virtual environment and collecting real-world environmental data from fixed and mobile monitoring devices. Model data, modeling parameters, and digital ground data associated with the project are retrieved and unified through a unified connector interface to form a unified input data. The unified input data is processed through one or more impact modeling entities to assess environmental impacts, including air quality, noise, water quality, and ecological effects. Visualizations of the environmental impact determined are transmitted to an environmental assessment planner interface for display. The method and the system provide for real-time integration, efficient impact modeling, and multi-dimensional visualization, enabling stakeholders to evaluate and monitor environmental effects with enhanced precision and accessibility in a seamless digital environment.

The invention discloses a video-based engineering quantity prediction method and device, equipment, a medium and a product, and the method comprises the steps: obtaining video data of a historical time period of an engineering site, extracting the video data to obtain a video frame sequence, determining region nodes and a space-time connection relation of the region nodes based on the video frame sequence, generating an engineering topological graph of the engineering site, and predicting the engineering quantity of the engineering site according to the engineering topological graph. And obtaining node features of the region nodes, determining global representation of the video data in the historical time period, performing construction action prediction based on the global representation of the video data in the historical time period, and obtaining a construction action sequence of the project site in the future time period. And according to the construction action sequence in the future time period and the predetermined unit volume corresponding to the construction action, obtaining the predicted project amount of the project site in the future time period. According to the method, the construction action chain of the project thread in the future time period is accurately predicted through the project site video data, and the accurate project amount can be effectively predicted in advance in combination with the unit amount of the construction action.

The invention relates to an AI Internet of Things-based project field multi-modal data acquisition system and method, provides access control, and particularly relates to the field of a set or interface system of a database management system. The system comprises a warehouse-in acquisition interface for acquiring warehouse-in content of a set construction project site in a current time interval by adopting an Internet of Things connection mode; and the intelligent identification device is used for intelligently identifying the proportion of personnel wearing safety helmets in the current time interval and the maximum noise decibel value of the nearby residential building position in the current time interval by adopting an AI state identification model based on the warehousing content of the current time interval. According to the invention, the technical problem that the proportion of personnel wearing safety helmets in any time interval and the maximum noise decibel value of the positions of nearby residential buildings are difficult to synchronously identify is solved by simultaneously introducing an access control mode of database input and output, an Internet of Things connection mode and an intelligent identification mode.

The invention relates to an intelligent integrated project management method based on an AI large model technology, and the method comprises the steps: decomposing a project and determining key nodes: segmenting a project site into a plurality of blocks, and determining the key nodes in each block according to the process logic and organization structure of the project, the method comprises the following steps: performing deep analysis on historical data of similar projects by using an AI large model based on a Transform architecture, determining reasonable completion time of each key node through an LSTM time sequence prediction algorithm in combination with characteristics and requirements of a current project, and generating a progress schedule. Through real-time analysis and simulation of project data by the AI large model, the resource demand and allocation scheme can be accurately determined, waste and shortage of resources are avoided, the resource utilization efficiency is improved, the project cost is reduced, the project progress can be monitored in real time, progress deviation can be found in time, and the future progress trend can be accurately predicted.

The invention relates to a visitor management method, system and device based on VR, a medium and a program product, and belongs to the field of intelligent management. According to the technical scheme, the method comprises the steps that visitor information is obtained through a visitor terminal, and the visitor information comprises the visitor position and the visitor identity; dividing a project site into different areas, and setting visitor permissions of the different areas; determining an area where the visitor is located according to the visitor position; according to the area where the visitor is located and the identity of the visitor, the corresponding visitor authority is determined, and the visitor authority is returned to the corresponding visitor terminal; the visitor authority is visually displayed in a project site VR model of a corresponding visitor terminal; and performing visitor registration and management according to the visitor information and the corresponding visitor authority. According to the invention, the visitor registration and management efficiency is improved; no gate machine needs to be additionally arranged, so that the project cost can be reduced; compared with a visitor management system based on a gate, the visitor management system is more convenient and better in applicability.

Systems and methods of the present disclosure include improved coating of worksurfaces by accessing a digital map of a project site, the project site having the work surface, and identifying one or more sub-areas of the work surface, the sub-areas being associated with an observed or expected wear pattern on the work surface. Based on the wear pattern, a coating technology and a dry film thickness (DFT) is determined for each sub-area based at least in part on the wear pattern of each sub-area, which is mapped onto a digital map of the project site to assign the coating technology and the DFT to each sub-area within the project site. The digital map is provided to an autonomous vehicle to automatically apply the coating technology across the work surface to achieve the DFT.

The invention provides a project management method and system. The project management method comprises the following steps: acquiring project field data in real time through a multi-modal data acquisition terminal cluster deployed in a project field; performing data preprocessing on the engineering field data by using a dynamic self-adaptive adjustment time window, and obtaining the engineering field data after data preprocessing and a corresponding feature vector; dividing the feature vector into a plurality of data blocks, and performing credibility verification on the data blocks to obtain credible data blocks; and uploading the trusted data block to a corresponding block chain node for data storage and sharing. The system comprises modules corresponding to the steps of the method.

The invention provides a project site automatic receiving device and a management method, and belongs to the technical field of logistics receiving equipment, the device comprises a bearing base fixed on the ground, a supporting rod body fixed on the bearing base, a solar panel fixedly arranged on the top of the supporting rod body, and a preset angle is formed between the solar panel and the supporting rod body; the RFID terminal and the image acquisition terminal are fixed in the middle of the supporting rod body and face a target detection position on the ground; the power supply module supplies power to the RFID terminal, the image acquisition terminal, the control module and the information interaction module; the control module is connected with the RFID terminal, the image acquisition terminal and the information interaction module, and the control module receives the material RFID tag information and the material appearance image and provides the material RFID tag information and the material appearance image to the information interaction module so as to communicate with an external management system. Through RFID and vision fusion, automatic de-weighting and order verification, appearance detection and real-time uploading, project field automatic goods receiving is realized, and the efficiency is improved.

Provided in the present application are a device configuration method and apparatus, and a computer device. The method comprises: generating project configuration resources on the basis of different areas of a project site, and pre-storing the project configuration resources; on the basis of location information of a target device, determining a target area in the project site where the target device is located; acquiring, from among the pre-stored project configuration resources, device information corresponding to the target area; identifying product information of the target device; and sending the device information to the target device to complete automatic configuration, and storing a configuration relationship between the product information and the device information. The present application can automatically implement a project configuration process of a device, such that the device can be put into use immediately after installation, thereby avoiding a large number of tedious repetitive on-site debugging and configuration operations, and ensuring the timely application and implementation of a system in an actual project.

The invention provides a building resource collaborative optimization method, a building resource collaborative optimization device and electronic equipment, which effectively solve the negative influence of the dynamic change of a project site on the accuracy, the efficiency and the like of the existing building resource collaborative optimization system. The method comprises the following steps: the input layer obtains various heterogeneous data of the constructional engineering of resources to be optimized, and constructs state vectors corresponding to the various heterogeneous data respectively; inputting the state vector to the hidden layer, and controlling an action space to extract low-order resource features from the state vector based on a nonlinear association relationship; fusing the low-order resource features to obtain high-order resource features, and screening out target high-order resource features from the high-order resource features to obtain multiple actions based on the target high-order resource features; and receiving a plurality of actions, selecting an optimal action from the plurality of actions, and realizing collaborative optimization of the to-be-optimized resources of the to-be-constructed project based on the optimal optimization strategy corresponding to the optimal action.

The present application relates to a kind of based on the stability discrimination method, system and medium of foundation pit of graph mutual driving mechanism, method includes: according to the suitable foundation pit support form of foundation pit design requirement, initialize various foundation pit design parameters, in parameter attribute value forward driving mode drawing foundation pit support structure sketch in CAD environment;According to the stability discrimination criterion of foundation pit, the actual working condition of project site is combined with manual tuning to design parameter, parameter adjustment result still uses with attribute driving graph mode immediate update support structure sketch, another can edit the graph element in support structure graph with graph driving attribute mode immediate feedback linkage update foundation pit support parameter;The stability of foundation pit support structure is calculated dynamically in real time throughout, when stability determination meets design requirement, with two three-dimensional interactive intuitive display foundation pit support design scheme, and output various design achievements.The present application can realize the graph attribute bidirectional mutual driving of foundation pit support design, it is convenient to quickly modify and perfect design scheme, improve foundation pit support design efficiency and quality.

The invention discloses a development, operation and maintenance integrated application market management method and system. The method comprises the following steps: uniformly managing reusable development assets in an application market; when a new project is developed, reusable development assets are pulled from an application market, a project basic code framework is generated from a code template according to configuration information and a database table structure, and codes are automatically packaged into a container mirror image; when an executable program and a software package for a project are selected, performing application arrangement on the executable program, the software package and the container mirror image together, establishing a relationship among the modules through graphical interface interactive operation, and configuring environment variable information; in the deployment process of the internal test environment of the enterprise, the container mirror image runs to the host according to the environment variable information, and after deployment is completed, operation and maintenance monitoring of the host and the container is carried out through a unified interface; in the project site deployment process, the deployment package is exported from the system, and the deployment package is imported and deployed in a one-key mode on the project site. According to the scheme, the deployment and operation and maintenance efficiency is improved.

The present application relates to the technical field of power infrastructure site safety control, and particularly relates to a method for identifying infrastructure site risks, comprising classifying risk operations according to site operation contents to obtain a classification result; calculating a risk event occurrence factor according to the classification result and site factors; calculating a risk event influence factor according to site factors and historical records; obtaining a monitoring report based on the risk event occurrence factor and the risk event influence factor; and monitoring infrastructure site monitoring videos based on the monitoring report. The present application can reduce the professional skill requirements of monitoring personnel by assisting the monitoring personnel in monitoring infrastructure site videos through the monitoring report, and basic skill personnel can complete complex and professional site safety monitoring work, which greatly improves the stability of monitoring compared with random personnel management. The present application solves the problem that the existing infrastructure site monitoring method is prone to monitoring omissions.

The embodiment of the invention discloses a project management digital management method, a project management digital management system, project management equipment and a practical training platform integrated with an Internet of Things operating system, and relates to the technical field of office automation or electric digital data processing. Basic configuration information in the project management information is screened out, an Internet of Things model in the basic configuration information is obtained, dynamic operation data of Internet of Things equipment is generated, real-time monitoring data in response to a project site is generated, a multi-source heterogeneous data set and a project monitoring data set are generated, and digital management is performed on the project according to the project monitoring data set. According to the embodiment of the invention, through screening of the basic configuration information and dynamic management of the Internet of Things equipment, resources can be reasonably allocated according to actual demands of the project, and based on semantic matching of the multi-source heterogeneous data set and the project document keyword, the generated project monitoring data set provides comprehensive and accurate data support for a project manager.

The present application discloses a construction project site selection auxiliary analysis method, device, equipment, medium and product, which relate to the fields of surveying and mapping geographic information and environmental impact assessment. The method includes querying whether there is a national economic industry classification code to which the control requirement content belongs. If so, the national economic industry classification code to which the construction project belongs is compared with the national economic industry classification code to which the control requirement content belongs to determine the relationship category; if not, it is judged whether the construction project name and the control requirement content can be matched. If they can be matched, the method returns "the national economic industry classification code to which the construction project belongs is compared with the national economic industry classification code to which the control requirement content belongs to determine the relationship category"; if they cannot be matched, it is determined that the construction project is allowed to be constructed, and the effective information in the ecological environment zoning control system of this application is more clearly extracted and an intuitive correlation relationship is established.

The invention provides an analysis method and system for inverting actual generating capacity based on photometric data, and the method comprises the steps: obtaining short-term measured data of a ground meteorological station in a site region of a photovoltaic power station project, and carrying out the integrity inspection and reasonability inspection of the short-term measured data; preprocessing the detected measured data, and summarizing to obtain daily cumulative radiation data and monthly average radiation data; selecting one satellite database which has the highest correlation with the actual measurement data of the ground meteorological station from the long-term satellite meteorological databases as a target satellite database, analyzing the irradiation dose space distribution characteristics of the target satellite database in the project site area, and combining the operation data of the site peripheral power stations; determining a representative annual horizontal plane monthly total irradiation dose provided by the target satellite database as a revision basis; and based on the target satellite database, acquiring a long-term inversion irradiation dose data sequence of the project site position, determining and applying a correction relationship between the two, and acquiring engineering representative annual horizontal plane irradiation dose data of the project site.

The application discloses an entertainment system capable of realizing virtual-real interaction, which comprises a real scene amusement park, a meta game system server and a terminal. The real scene amusement park comprises interactive devices, real scene data acquisition devices, player information acquisition devices, interactive device data acquisition devices and communication devices for mutual communication between the interactive devices or between the real scene amusement park and the meta game system server, which are arranged in or run on a game project site and are used for the entertainment or game or experience of players. The meta game system server is used for constructing a virtual amusement park scene, associating a virtual identity of a player and synchronously mapping the real scene interactive devices to corresponding virtual interactive devices. The terminal is used for displaying the virtual amusement park scene, the virtual identity and the virtual interactive devices in the virtual amusement park scene in the meta game system server. The real scene amusement park and the meta game system server and the meta game system server and the terminal are in communication connection. The application has various playing methods, is stronger in entertainment and higher in interest.

1. Name of this design: Graphical User Interface for On-Site Reinforcement Management in Electronic Equipment. 2. Purpose of this design: For running programs. 3. The key design features of this product are the graphical user interface content on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: It is a graphical user interface used by on-site managers to enter or view data on electronic devices. 6. Other situations requiring explanation are illustrated in the diagram: The main view is the primary view when the application is opened. In the interface change state diagram 1, continue to click the screen button to display the interface change state diagram 2. Clicking on Material Arrival, Inventory Data, Material Clearing Data, Waste Management, Material List View, Quality Acceptance, Anchoring Overlap, Snapshots, and Atlas Construction in the main view will take you to the interface change state diagram 1.

The invention relates to the technical field of engineering site cost, and discloses an intelligent correction method for engineering site cost data, which comprises the following steps: listing an engineering cost list, classifying the engineering cost list, carrying out anomaly detection, correcting a detected abnormal value, carrying out engineering construction and monitoring during construction, and calculating a judgment value P; engineering node progress monitoring and engineering equipment management are carried out during construction; according to the method, when data processing of the construction cost of the engineering site is carried out, firstly, the construction cost lists are classified, feature value extraction and dimension reduction processing are carried out during classification, and finally all the construction cost lists are changed into a feature set so that calculation can be conveniently carried out; abnormal value detection is carried out on the classified project cost list, abnormal values are detected in time and corrected, it is guaranteed that project cost data are accurate enough, project construction is carried out on the basis, and it is guaranteed that project construction can be carried out stably according to plans.

The invention relates to a power grid engineering project progress monitoring method. An existing monitoring system can only confirm project progress and cannot automatically recognize whether project installation operation is standard or not. The method comprises the following steps: constructing a BIM model according to image data and project drawings of a project site; according to the BIM model, intelligent sensors are arranged on site, and online construction information is collected; online construction information is extracted, three-dimensional environment scene reconstruction is carried out according to the surrounding environment, and construction progress data is obtained; calculating an environment fluctuation value according to the construction progress monitoring condition and the online construction information, and setting a construction adjustment strategy; constructing a gray scale prediction model, and predicting a progress critical value result according to the construction progress data and the construction period after construction adjustment; and visualizing the construction progress data, the three-dimensional environment scene and the progress critical value prediction result to generate a BIM simulation large screen, thereby realizing scientific scheduling of the construction process and real-time monitoring of safe construction.