Safety Risk Control Of Prefabricated Building Construction Based On Particle Swarm Optimization

System overall risk level analysis and risk control cost reduce are keys link to avoid the safety risks of prefabricated building construction.In order to effectively control the many risks of prefabricated buildings,it is necessary to choose a risk control plan.Risk control refers to the selection of reasonable measures based on risk assessment,which mitigates,transfers and evades risks and plays a role in risk control.The most important function of risk control is to optimize the risk control plan based on the risk identification and evaluation combined with the current resources.When the risk occurs,the manager needs to call the relevant resources for emergency management.At this time,the efficiency of resource use and effectiveness of risk management are difficult to optimize.Therefore,by establishing an effective risk control model,the risk level is controlled to an acceptable level.It is of great significance to ensure the safety of building construction.Due to the complex environment of the prefabricated construction site,the manpower and capital resources involved in risk management are limited.The control measures adopted by different hazard sources are different when risk control is implemented.The required control cost is different,and the contribution to the overall risk level of the system is affected.Also,this introduces the problem of multi-objective optimization control for fabricated buildings.In addition,the risk factors of the prefabricated building engineering project are interacting and interacting with each other.Therefore,considering the impact of the related risks at the same time will make the risk optimization control more reasonable.In order to minimize the construction safety risk level of the prefabricated construction pro.ject while minimizing the cost,this paper first analyzes the multi-objective optimization and risk correlation research status of the engineering construction project.Then the theory of Bayesian network and Markov chain,multi-objective optimization,particle swarm optimization algorithm and other related theories are introduced,which paves the way for solving the problem below.Then it sorts out the construction safety risk factors of the current prefabricated buildings,defines the safety risk factors and classifies the accidents,constructs a construction safety risk factor identification list,and considers the risk generation mechanism based on the risk identification.Combining the example to consider the risk generation mechanism based on the risk identification,the Markov chain and the Bayesian network are combined to carry out the Monte Carlo simulation of the probability of occurrence of the risk factor,and the loss of the system security risk is considered to be the smallest.The risk control cost is at least the objective function,balance the system risk level and the cost required to reduce the risk,construct a two-objective optimization model,introduce the risk correlation into the optimization model based on the 2-additive fuzzy measure,and combine the discrete multi-objective particle swarm optimization algorithm(Discrete multi-objective particle swarm optimization,Discrete-MOPSO).using R language programming to solve.In addition,in order to conveniently use the model established in this paper to calculate and expand the practical value of the model,the basic computational graphical interface is constructed using the shiny macro package provided by RStudio.The examples show that considering the correlation between risks under different conditions can better reflect the complex relationship in the practice of construction risk management risk management.Risk managers can give more control strategies according to the corresponding optimization results.It is of great significance to improve the risk management level of prefabricated building construction.