CN115481885A - Intelligent management method for construction safety risk of assembly type building based on digital twinning - Google Patents
Intelligent management method for construction safety risk of assembly type building based on digital twinning Download PDFInfo
- Publication number
- CN115481885A CN115481885A CN202211108513.5A CN202211108513A CN115481885A CN 115481885 A CN115481885 A CN 115481885A CN 202211108513 A CN202211108513 A CN 202211108513A CN 115481885 A CN115481885 A CN 115481885A
- Authority
- CN
- China
- Prior art keywords
- safety risk
- assembly type
- construction
- type building
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 48
- 238000007726 management method Methods 0.000 title claims abstract description 43
- 238000009435 building construction Methods 0.000 claims abstract description 37
- 238000012954 risk control Methods 0.000 claims abstract description 33
- 238000000034 method Methods 0.000 claims abstract description 20
- 230000008569 process Effects 0.000 claims abstract description 11
- 230000003068 static effect Effects 0.000 claims abstract description 11
- 238000012502 risk assessment Methods 0.000 claims description 22
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 230000001364 causal effect Effects 0.000 claims description 3
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 18
- 238000013473 artificial intelligence Methods 0.000 abstract description 4
- 238000004088 simulation Methods 0.000 abstract description 3
- 230000003993 interaction Effects 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 abstract description 2
- 238000011161 development Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 230000010354 integration Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012764 semi-quantitative analysis Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent management method for safety wind of assembly type building construction based on digital twins, which aims at the limitations of dependence on expert experience, strong subjectivity, static state and the like of the traditional method for managing the safety risk of assembly type building construction. The method integrates the simulation technology, the Internet of things technology and the artificial intelligence technology by utilizing the digital twin concept, and establishes an effective information interaction mechanism between a physical construction site and a virtual construction site, namely, site managers can master the site safety risk level situation in real time, further provides safety risk control measures through clear safety risk factor grade states and incidence relations thereof, and uploads the safety risk improvement process to a safety risk database for subsequent safety risk management and calling.
Description
Technical Field
The invention relates to the technical field of building information, in particular to an intelligent management method for construction safety risks of an assembly type building based on digital twins.
Background
The traditional construction mode has the phenomena of serious resource waste and the like, and the fabricated building has the obvious advantages of short construction period, environmental protection and the like as a novel construction mode, and presents a good development situation as an important way for transformation and upgrading of the construction industry. With the rapid development of information technologies such as BIM and artificial intelligence, the collaborative development of the assembly type building and the intelligent construction technology becomes a necessary trend.
The construction process of the fabricated building involves more new technologies, and the safety problem in the construction stage is also more prominent. The construction safety management problem influences the rapid and healthy development of the fabricated building, and under the background of an information era, the safety management and feedback efficiency can be effectively improved by using information and intelligent means, and the construction safety risk is reduced.
The safety risk management method for the assembly type building construction has obtained much attention and relevant research, the existing assembly type building safety risk assessment and control method has the defects of strong static and subjectivity and the like, the intelligent and informatization degree is low, the safety risk assessment and control method is lack of integration of the association relation with the safety risk, and the safety risk control measure is lack of instantaneity and scientificity in the proposition.
The digital twin technology has rich theory and connotation and consists of physical space, virtual space, twin data, service and the connection among all parts. The digital twin technology is an integration of a modeling technology, an internet of things technology and an artificial intelligence technology, can realize one-to-one mapping from a physical space to a virtual space, is a closed-loop management system with comprehensive perception, real analysis, continuous optimization and real-time feedback in practical application, and is a key enabling technology for realizing intelligent construction.
Aiming at the problems in the method for evaluating and controlling the construction safety risk of the assembly type building, a safety risk evaluation method matched with the characteristics of the digital twin is used, a safety risk hierarchical model representing the association relation of the safety risk is established, a complete digital twin model is formed by effective virtual-real interaction and a mapping mechanism, and the construction safety risk of the assembly type building is managed in a closed loop mode.
Disclosure of Invention
The invention provides a digital twin-based assembly type building construction safety risk management method (the digital twin overall realization idea is shown in figure 1), which takes a digital twin concept as a core, can realize the timely discovery and real-time feedback of the assembly type building construction safety risk and realize closed-loop management, and the like, in order to solve the problems of static state, strong subjectivity and the like of the existing assembly type building construction safety risk management method and improve the intelligent level of the assembly type building construction safety management.
According to the implementation logic of digital twins, the invention adopts the specific technical scheme that: analyzing various entity elements related to an assembly type building construction site, and modeling construction site elements, site layout and the like by utilizing Revit software; analyzing the entity elements, screening out safety risk factor indexes of the assembly type building construction, and laying active RFID labels, sensors, wireless sensing networks and the like on a construction site to monitor and update information in real time; according to the safety risk index characteristics of the assembly type buildings, the safety risk indexes are graded, the incidence relation among the construction safety risk factor indexes of the assembly type buildings is determined, and a safety risk assessment and control model is established; calling an intelligent security evaluation and control algorithm from a cloud server, carrying out security risk grade membership judgment on real-time monitored data, synchronizing the security risk evaluation result into a security risk control model, analyzing a security risk cause according to the incidence relation among security risk indexes, and providing a security risk control measure; and the safety risk assessment result and the cause analysis are visually displayed through intelligent terminal equipment, management personnel are guided to correct the site safety risk, and real-time monitoring data and correction records are uploaded to a safety risk database for subsequent safety risk management and calling.
The method comprises the steps of establishing an entity element model of the assembly type building construction site by utilizing Revit software, determining the coupling relation between the geometrical characteristics and the assembly relation of each entity element and the construction environment, creating an entity element family library, carrying out lightweight processing on the entity element model of the construction site, carrying out simulation on the construction process, updating the model according to the actual construction progress, and carrying out loading on an intelligent equipment terminal.
According to the actual situation of an assembly type building site, analyzing each entity element, screening construction safety risk factor indexes from four aspects of personnel factors, equipment factors, prefabricated component factors and environment factors, further dividing data information corresponding to the safety risk factor indexes into static information and dynamic information, wherein the static information such as personnel attributes, prefabricated component attributes and equipment attributes can be stored in an active RFID tag, the dynamic information such as personnel real-time position, component real-time position, tower crane load ratio and wind speed can be collected and updated in a combined mode of the RFID tag, a weight sensor, a wind speed sensor and the like, according to the data transmission characteristics of the RFID tag and the sensor, a corresponding wireless transmission gateway is configured, and data are uploaded to a safety risk database.
The assembly type building construction safety risk index has one or more characteristic indexes for representing the characteristics of the safety risk index, safety risk grade division is carried out on each safety risk index characteristic quantity according to an actual measurement value or a relevant standard specification of the safety risk index, association relations exist among different construction safety risk factor indexes, the factors are divided into different hierarchical levels according to the causal relation among different factors and the relation between direct influence and indirect influence, and a safety risk assessment model and a safety risk control model are respectively established.
After the actual measurement data of the assembly type building construction safety risk indexes are uploaded to a safety risk database, the safety risk index grade membership degree is judged by calling an intelligent safety risk assessment algorithm in a cloud server, the judgment result is further synchronized into an intelligent safety risk control model, the structure of the intelligent safety risk control model can represent the incidence relation among all safety risk indexes, the risk grade state data of all structure nodes can be updated, and cause analysis can be performed on safety risks if dangers exist.
And the safety risk assessment and cause analysis result and the lightweight model are visualized at the intelligent equipment terminal. Accordingly, field management personnel can provide corresponding safety risk control measures, the field is rectified, rectification records containing the safety risk measures are stored, and data generated in safety risk assessment and control processes form a safety risk database together, so that the intelligent and information management of the safety risk of subsequent assembly type building construction is facilitated.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention provides an intelligent management method for the safety risk of the assembly type building construction from the aspects of modeling technology, internet of things technology and intelligent algorithm integration around the concept of digital twin, and can improve the intelligent level of on-site safety management and form an intelligent closed-loop management system of 'comprehensive perception-real analysis-continuous optimization-real-time feedback'.
(2) Aiming at the problems of high static and subjectivity, low accuracy and the like of the conventional assembly type building construction safety management method, the invention screens and quantificationally analyzes the safety risk indexes of the assembly type building construction from four aspects of personnel factors, equipment factors, prefabricated component factors and environmental factors, ensures the comprehensiveness and accuracy of safety risk assessment and control from the source, converts the qualitative analysis and semi-quantitative analysis of the conventional method into quantitative analysis, is beneficial to the data processing and analysis of a digital twin model and improves the accuracy of the safety risk assessment.
(3) The safety risk control method changes the traditional safety risk management thinking for screening key influence factors to give control measures, fully considers the incidence relation among safety risk factor indexes on the basis of improving the intelligent level of safety risk management, establishes a safety risk control model, and guides a safety risk evaluation result into the safety wind control model to take safety risk cause analysis as a main control thinking and provide scientific basis for safety risk control decision.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is an overall frame idea of intelligent management of safety risks in assembly type building construction based on digital twinning
FIG. 2 digital twinning virtual environment
FIG. 3 is an intelligent management process for safety risk of assembly type building construction
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. Other embodiments, which can be derived by one of ordinary skill in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The intelligent management method for the safety risk of the assembly type building construction based on the digital twin comprises the following steps of physical elements (personnel factors, equipment factors, prefabricated part factors and environmental factors) of an assembly type building construction site, a computer provided with software such as modeling and analysis, an active RFID tag, sensors for monitoring different index parameters, a wireless transmission module and an intelligent safety risk assessment and control algorithm.
The invention discloses an intelligent management method for construction safety risks of an assembly type building based on digital twins, which can improve the safety management efficiency and the intelligent level of an assembly type building construction site.
The method comprises the following steps: establishing an assembly type building construction site model by utilizing Revit software;
step two: analyzing the construction site condition of the fabricated building, establishing a construction safety risk index system, further dividing static information and dynamic information according to index types, arranging an active RFID tag and a corresponding sensor on site, and configuring a corresponding wireless transmission module;
step three: according to the safety risk index measured value rule or the national standard regulation, the construction safety risk index risk level states are divided, the incidence relation between the assembly type building construction safety risk indexes is established, and a safety risk assessment and control model for the assembly type building construction safety risk management is established;
step four: calling an intelligent security risk evaluation algorithm in the cloud server, judging the level membership degree of the security risk index, further synchronizing the judgment result into an intelligent security risk control model, and carrying out cause analysis on the security risk;
step five: the safety risk level and the safety risk cause analysis process can be presented on the intelligent equipment, and a field manager observes the safety risk state change and the cause analysis process through a remote computer, timely makes a safety risk control measure, and stores the rectification record to a safety risk database.
In the first step, a fabricated building construction site entity element model is established by means of Revit software, the coupling relation between the geometrical characteristics and the assembly relation of each entity element and the construction environment is determined, an entity element family library is created, the construction site entity element model is subjected to light weight processing, the construction process is subjected to simulation, the model is updated according to the actual construction progress, and the model is carried on an intelligent equipment terminal.
And in the second step, construction safety risk factor indexes are screened from four aspects of personnel factors, equipment factors, prefabricated part factors and environmental factors, data information corresponding to the safety risk factor indexes is further divided into static information and dynamic information, the static information such as personnel attributes, prefabricated part attributes and equipment attributes can be stored in an active RFID tag, the dynamic information such as personnel real-time position, component real-time position, tower crane load ratio and wind speed can be collected and updated in a combined mode of the RFID tag, a weight sensor and a wind speed sensor, corresponding wireless transmission gateways are configured according to the data transmission characteristics of the RFID tag and the sensors, and data are uploaded to a safety risk database.
In the third step, the assembly type building construction safety risk index has one or more characteristic indexes for representing the characteristics of the safety risk index, safety risk grade division is carried out on each safety risk index characteristic quantity according to an actual measurement value or a relevant standard specification of the safety risk index, association relations exist among different construction safety risk factor indexes, the factors are divided into different hierarchical levels according to the causal relations among different factors and the relations between direct influences and indirect influences, and a safety risk assessment model and a safety risk control model are respectively established.
In the fourth step, after the actual measurement data of the assembly type building construction safety risk indexes are uploaded to the safety risk database, the safety risk index grade membership degree is judged by calling an intelligent safety risk assessment algorithm in the cloud server, the judgment result is further synchronized into the intelligent safety risk control model, the structure of the intelligent safety risk control model can represent the incidence relation among all the safety risk indexes, the risk grade state data of all the structure nodes can be updated, and cause analysis can be carried out on the safety risk if danger exists.
And fifthly, visualizing the safety risk assessment and cause analysis result and the lightweight model at an intelligent equipment terminal. Accordingly, field management personnel can provide corresponding safety risk control measures, the field is rectified, rectification records containing the safety risk measures are stored, and data generated in safety risk assessment and control processes form a safety risk database together, so that the intelligent and information management of the safety risk of subsequent assembly type building construction is facilitated.
In conclusion, the invention discloses an intelligent management method for the safety risk of the assembly type building construction based on the digital twin, which integrates a simulation modeling technology, an internet of things technology and an artificial intelligence technology by applying the digital twin technology, exerts various technical advantages and improves the safety management efficiency and the intelligent level of the assembly type building construction site.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. The intelligent management method for the safety risk of the assembly type building construction based on the digital twin is characterized by comprising the following steps of: analyzing various entity elements related to an assembly type building construction site, and modeling construction site elements and site layout by utilizing Revit software; analyzing the entity elements, screening out safety risk factor indexes of the assembly type building construction, and laying active RFID tags, sensors and wireless sensing networks on a construction site to monitor and update information in real time; according to the safety risk index characteristics of the assembly type buildings, the safety risk indexes are graded, the incidence relation among the construction safety risk factor indexes of the assembly type buildings is determined, and a safety risk assessment and control model is established; calling an intelligent security evaluation and control algorithm from a cloud server, carrying out security risk grade membership judgment on real-time monitored data, synchronizing a security risk evaluation result into a security risk control model, analyzing a security risk cause according to an incidence relation between security risk indexes, and providing a security risk control measure; and the safety risk assessment result and the cause analysis are visually displayed through intelligent terminal equipment, management personnel are guided to correct the site safety risk, and real-time monitoring data and correction records are uploaded to a safety risk database for subsequent safety risk management and calling.
2. The intelligent management method for the construction safety risk of the assembly type building based on the digital twin as claimed in claim 1, wherein: the method comprises the steps of establishing an entity element model of the assembly type building construction site by utilizing Revit software, determining the coupling relation between the geometric characteristics and the assembly relation of each entity element and a construction environment, creating an entity element family library, carrying out lightweight processing on the entity element model of the construction site, updating the model according to the actual construction progress, and carrying on the model on an intelligent equipment terminal.
3. The intelligent management method for the construction safety risk of the assembly type building based on the digital twin as claimed in claim 1, wherein: according to the actual situation of the assembly type building site, construction safety risk factor indexes are screened, information corresponding to the safety risk factor indexes is divided into static information and dynamic information, the static information is stored in an active RFID tag, the dynamic information can be collected and updated in a mode of combining the RFID tag and a sensor, a corresponding wireless transmission module is configured according to the type of the sensor, and collected data are uploaded to a safety risk database and a cloud server.
4. The intelligent management method for the construction safety risk of the assembly type building based on the digital twin as claimed in claim 1, wherein: the assembly type building construction safety risk index has one or more characteristic indexes for representing the characteristics of the safety risk index, safety risk grade division is carried out on each safety risk index characteristic quantity according to an actual measurement value or a relevant standard specification of the safety risk index, association relations exist among different construction safety risk factor indexes, the factors are divided into different hierarchical levels according to the causal relation among different factors and the relation between direct influence and indirect influence, and a safety risk assessment model and a safety risk control model are respectively established.
5. The intelligent management method for the construction safety risk of the assembly type building based on the digital twin as claimed in claim 1, wherein: after the actual measurement data of the assembly type building construction safety risk indexes are uploaded to a safety risk database, the safety risk index grade membership degree is judged by calling an intelligent safety risk assessment algorithm in a cloud server, the judgment result is synchronized to an intelligent safety risk control model, the structure of the intelligent safety risk control model can represent the incidence relation among all the safety risk indexes, the risk grade state data of all the structure nodes can be updated, and if the risk exists, the cause analysis can be carried out on the safety risk.
6. The intelligent management method for the construction safety risk of the assembly type building based on the digital twin as claimed in claim 1, wherein: and the safety risk assessment and cause analysis result and the lightweight model are visualized at the intelligent equipment terminal. Accordingly, the field management personnel provides corresponding safety risk control measures, the field is rectified, rectification records containing the safety risk measures are stored, and data generated in the safety risk assessment and control processes form a safety risk database together, so that the safety risk intelligent and information management of the subsequent assembly type building construction is facilitated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211108513.5A CN115481885A (en) | 2022-09-11 | 2022-09-11 | Intelligent management method for construction safety risk of assembly type building based on digital twinning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211108513.5A CN115481885A (en) | 2022-09-11 | 2022-09-11 | Intelligent management method for construction safety risk of assembly type building based on digital twinning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115481885A true CN115481885A (en) | 2022-12-16 |
Family
ID=84424075
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211108513.5A Pending CN115481885A (en) | 2022-09-11 | 2022-09-11 | Intelligent management method for construction safety risk of assembly type building based on digital twinning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115481885A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116911700A (en) * | 2023-09-14 | 2023-10-20 | 中亿丰数字科技集团有限公司 | Engineering safety and quality supervision method and system based on BIM and IOT |
| CN117195601A (en) * | 2023-11-07 | 2023-12-08 | 江苏航运职业技术学院 | Intelligent management method for safety risk of fabricated building construction based on digital twin |
| CN117236892A (en) * | 2023-09-27 | 2023-12-15 | 广西路建工程集团有限公司 | Digital twin-based bridge steel web water transportation hoisting system and control method |
| CN117391546A (en) * | 2023-12-11 | 2024-01-12 | 山东萌山钢构工程有限公司 | Method, system, device and storage medium for monitoring fabricated building construction |
| CN117610938A (en) * | 2024-01-18 | 2024-02-27 | 北京城建集团有限责任公司 | Building risk assessment method and system |
| CN118014362A (en) * | 2024-02-22 | 2024-05-10 | 西南交通大学 | Engineering management system, method, electronic device, and computer-readable storage medium |
-
2022
- 2022-09-11 CN CN202211108513.5A patent/CN115481885A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116911700A (en) * | 2023-09-14 | 2023-10-20 | 中亿丰数字科技集团有限公司 | Engineering safety and quality supervision method and system based on BIM and IOT |
| CN116911700B (en) * | 2023-09-14 | 2023-12-12 | 中亿丰数字科技集团有限公司 | Engineering safety and quality supervision method and system based on BIM and IOT |
| CN117236892A (en) * | 2023-09-27 | 2023-12-15 | 广西路建工程集团有限公司 | Digital twin-based bridge steel web water transportation hoisting system and control method |
| CN117195601A (en) * | 2023-11-07 | 2023-12-08 | 江苏航运职业技术学院 | Intelligent management method for safety risk of fabricated building construction based on digital twin |
| CN117195601B (en) * | 2023-11-07 | 2024-02-09 | 江苏航运职业技术学院 | Intelligent management method for safety risk of fabricated building construction based on digital twin |
| CN117391546A (en) * | 2023-12-11 | 2024-01-12 | 山东萌山钢构工程有限公司 | Method, system, device and storage medium for monitoring fabricated building construction |
| CN117391546B (en) * | 2023-12-11 | 2024-02-27 | 山东萌山钢构工程有限公司 | Method, system, device and storage medium for monitoring fabricated building construction |
| CN117610938A (en) * | 2024-01-18 | 2024-02-27 | 北京城建集团有限责任公司 | Building risk assessment method and system |
| CN117610938B (en) * | 2024-01-18 | 2024-04-19 | 北京城建集团有限责任公司 | Building risk assessment method and system |
| CN118014362A (en) * | 2024-02-22 | 2024-05-10 | 西南交通大学 | Engineering management system, method, electronic device, and computer-readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115481885A (en) | Intelligent management method for construction safety risk of assembly type building based on digital twinning | |
| CN111177101B (en) | Multi-dimensional visualization platform for power distribution network based on big data architecture | |
| CN109472091B (en) | Assembly type building construction and service stage monitoring system and method | |
| Kong et al. | RETRACTED ARTICLE: Intelligent manufacturing model of construction industry based on Internet of Things technology | |
| CN113255811B (en) | BIM-based beam bridge multi-source heterogeneous data fusion decision system | |
| CN103914791A (en) | Electrical equipment state maintenance system | |
| Qiang et al. | Building automation systems for energy and comfort management in green buildings: A critical review and future directions | |
| CN102739420A (en) | Distributed complex giant system based on digital drainage network operation management and maintenance | |
| CN111539690A (en) | Construction project collaborative management method and system based on BIM | |
| CN114169570A (en) | Smart energy management platform based on Internet of things and cloud computing technology | |
| CN114897271B (en) | Central air conditioner predictive maintenance method based on fault propagation in digital twin environment | |
| CN118015231A (en) | Digital twin city construction method based on Internet and twin model | |
| Yu | Research on cloud computing in the key technologies of railway intelligent operation and maintenance sharing platform | |
| CN113269435B (en) | New energy station running state coupling monitoring and evaluating system | |
| CN117113157B (en) | Platform district power consumption fault detection system based on artificial intelligence | |
| CN117057335B (en) | Intelligent generation method for four pre-schemes of flood control in drainage basin | |
| Liu et al. | Efficiency of risk management for tunnel security of megaprojects construction in China based on system dynamics | |
| Yao | Internet of things in the quality control of cement mixing pile construction | |
| CN116013047A (en) | Dense fog short-term trend early warning system and method based on graph attention network and long-term and short-term memory network | |
| CN113689064B (en) | Transparentization transformer substation management system architecture | |
| CN113609242A (en) | Intelligent building space operation and maintenance big data holographic visualization system and construction method | |
| Lai et al. | Dynamic data‐driven railway bridge construction knowledge graph update method | |
| Zhang et al. | Application Research of Neural Network Algorithm in Bridge Health Status Monitoring System | |
| Hu et al. | Research on Information Management Platform for Prefabricated Components Based on BIM Technology | |
| Zhang | Application of Building Information Modeling in cost control of engineering projects |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |