scholarly journals Multiobjective Optimization of Safety Risk of Prefabricated Building Construction considering Risk Correlation

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Chunguang Chang ◽  
Xi Wu ◽  
Xin Yan
Keyword(s):  
Optimization Model ◽  
Construction Safety ◽  
Building Construction ◽  
Risk Level ◽  
Security Risk ◽  
Control Cost ◽  
Safety Risks ◽  
Multiobjective Particle Swarm Optimization ◽  
And Control ◽  
Prefabricated Building

The analysis of the overall risk level of the system and the reduction of risk control costs are the key links to avoid the safety risks of prefabricated construction. In this paper, a dual-objective optimization model is constructed with the objective of minimizing system security risk loss and control cost to minimize the level of construction safety risks for prefabricated building while minimizing cost consumption. This paper introduces risk correlation into the optimization model based on the 2-additive fuzzy measure and solves it with discrete multiobjective particle swarm optimization (discrete-MOPSO). The example shows that considering the correlation of risks in different situations can better reflect the interaction relationship between the risk factors of building construction safety and improve the rationality of the optimization model.

Research Based on Information Fusion of Safety Risks Prediction and Control Management in Construction

2011 ◽  
Vol 480-481 ◽  
pp. 1502-1506
Author(s):  
Ping Zhao ◽  
Hu Zhang
Keyword(s):  
Information Fusion ◽  
Construction Projects ◽  
Evidence Theory ◽  
Construction Safety ◽  
Source Information ◽  
Accident Rate ◽  
Safety Risks ◽  
Prediction And Control ◽  
Hazard Sources ◽  
And Control

Safety risks management of safety potential information and hazard sources has been taken in Construction process. It is the most important measure to solve the current situation that safety accidents is frequent in Chinese Construction projects. The main reasons of frequent accidents were find out and the D-S evidence theory of multi-source information fusion method was used to reduce the accident rate in Construction safety in this paper. Through analyzing and predicting the engineering data and information in human, machine, environment and management four aspects in Construction, prediction model was built in Construction safety risks management, the possibility of dangerous and harmful level in the construction project can be known, preventive measures for specific situations were taken and promptly the safety state of the Construction will be ensured.

The Management of High-Rise Building Construction Safety Risks

2014 ◽  
Vol 1055 ◽  
pp. 297-300 ◽  
Author(s):  
Zhan Gang Su
Keyword(s):  
Risk Management ◽  
Construction Safety ◽  
Risk Identification ◽  
Building Construction ◽  
Construction Technology ◽  
Security Risk ◽  
High Rise ◽  
High Rise Building ◽  
Project Construction ◽  
Safety Accident

With the continuous development of economic level and the construction technology and progress, safety accident frequency is becoming more and higher, but now does not specifically for high-rise housing construction project the life cycle of the comprehensive security risk management research. From the high-rise building construction engineering safety construction and the basic theory and method of risk management, for high-rise building construction in the process of project construction safety risk identification, analysis and evaluation, explores the solution to the corresponding security risk effective management countermeasures.

scholarly journals A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 400 ◽  
Author(s):  
Zelin Nie ◽  
Feng Gao ◽  
Chao-Bo Yan
Keyword(s):  
Optimization Model ◽  
Air Conditioning ◽  
State Of The Art ◽  
Hvac Systems ◽  
Practical Significance ◽  
Hvac System ◽  
Bilinear Model ◽  
Optimization And Control ◽  
And Control ◽  
Slow Timescale

Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users’ comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of models in different timescales, the fast timescale model is built first with a bilinear form, and then the slow timescale model is induced from the fast one, specifically, with a bilinear-like form. After a simplified replacement made for the bilinear-like part, this problem can be solved by a convexification method. Extensive numerical experiments have been conducted to validate the effectiveness of this model.

scholarly journals COVID-19 Risk Assessment: Contributing to Maintaining Urban Public Health Security and Achieving Sustainable Urban Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4208
Author(s):  
Jun Zhang ◽  
Xiaodie Yuan
Keyword(s):  
Public Health ◽  
Population Density ◽  
Prevention And Control ◽  
Floating Population ◽  
Sustainable Urban Development ◽  
Risk Level ◽  
Health Security ◽  
Main Factors ◽  
And Control ◽  
Epidemic Risk

As the most infectious disease in 2020, COVID-19 is an enormous shock to urban public health security and to urban sustainable development. Although the epidemic in China has been brought into control at present, the prevention and control of it is still the top priority of maintaining public health security. Therefore, the accurate assessment of epidemic risk is of great importance to the prevention and control even to overcoming of COVID-19. Using the fused data obtained from fusing multi-source big data such as POI (Point of Interest) data and Tencent-Yichuxing data, this study assesses and analyzes the epidemic risk and main factors that affect the distribution of COVID-19 on the basis of combining with logistic regression model and geodetector model. What’s more, the following main conclusions are obtained: the high-risk areas of the epidemic are mainly concentrated in the areas with relatively dense permanent population and floating population, which means that the permanent population and floating population are the main factors affecting the risk level of the epidemic. In other words, the reasonable control of population density is greatly conducive to reducing the risk level of the epidemic. Therefore, the control of regional population density remains the key to epidemic prevention and control, and home isolation is also the best means of prevention and control. The precise assessment and analysis of the epidemic conducts by this study is of great significance to maintain urban public health security and achieve the sustainable urban development.

scholarly journals Overcapacity Risk of China’s Coal Power Industry: A Comprehensive Assessment and Driving Factors

2021 ◽  
Vol 13 (3) ◽  
pp. 1426
Author(s):  
Delu Wang ◽  
Xun Xue ◽  
Yadong Wang
Keyword(s):  
Evaluation Model ◽  
Supply And Demand ◽  
Correlation Effect ◽  
Power Industry ◽  
Environmental Benefits ◽  
Risk Level ◽  
Correlation Based Feature Selection ◽  
Coal Power ◽  
And Control ◽  
The Impact

The comprehensive and accurate monitoring of coal power overcapacity is the key link and an important foundation for the prevention and control of overcapacity. The previous research fails to fully consider the impact of the industry correlation effect; making it difficult to reflect the state of overcapacity accurately. In this paper; we comprehensively consider the fundamentals; supply; demand; economic and environmental performance of the coal power industry and its upstream; downstream; competitive; and complementary industries to construct an index system for assessing coal power overcapacity risk. Besides; a new evaluation model based on a correlation-based feature selection-association rules-data envelopment analysis (CFS-ARs-DEA) integrated algorithm is proposed by using a data-driven model. The results show that from 2008 to 2017; the risk of coal power overcapacity in China presented a cyclical feature of “decline-rise-decline”, and the risk level has remained high in recent years. In addition to the impact of supply and demand; the environmental benefits and fundamentals of related industries also have a significant impact on coal power overcapacity. Therefore; it is necessary to monitor and govern coal power overcapacity from the overall perspective of the industrial network, and coordinate the advancement of environmental protection and overcapacity control.

Research on Urban Public Security Risk Management under the Background of Tobacco Control

2021 ◽  
Vol 7 (5) ◽  
pp. 911-920
Author(s):  
Suqin Chen
Keyword(s):  
Risk Management ◽  
Tobacco Control ◽  
Public Safety ◽  
Prevention And Control ◽  
Living Environment ◽  
Public Security ◽  
Security Risk ◽  
The Future ◽  
Security Risk Management ◽  
And Control

Objectives: Through the reflection on the city’s response to the crisis in the process of tobacco control, a comprehensive and systematic public safety prevention and control system will be built to help cities cope with future risks and challenges. Methods: By using the methodological principle of the unity of subject and object and systematic research, this paper analyzes the problems from the three aspects of subject, object and means, and puts forward three important links of prevention, response and guarantee to construct a large urban public security system, and these three links support each other form a closed loop of risk prevention and control urban public security. Results: Under the background of tobacco control, it is feasible to a reliable whole-cycle management system for urban emergency response and accident rescue, a sound basic public safety guarantee system and a whole-society participation system. Conclusions: Due to the change of global climate conditions and the increase of flow people in the social environment, human beings will face a more complex living environment in the future and may encounter more extreme problems. It can be said that at present and even in the future, global urban public security risk management work is facing a grim situation. WHO research shows that smoking will increase the risk of new crown virus infection among smokers and their surrounding population.China is a big smoking country and in the stage of rapid urbanization. Many citiesare densely populated. Once there is an epidemic infection, the cities will face a severe public security situation. Smoking will not only have an adverse impact on personal health, but also the fires in factories, homes and forests caused by smoking.Since the Chinese government’s tobacco control in 2014, various accidents caused by smoking have caused great adverse effects.Smoking in public places has great hidden dangers of public safety, which leads us to think about the risk management of urban public safety.In the context of tobacco control, we should use scientific thinking and methods to construct a new pattern of urban public security risk management. Another important concept is to implement the risk management concept and the value of prevention first in the management of public affairs, so as to create a situation of risk sharing and coordinated response of the whole society.

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