A model for conceptual design of mechanical devices is studied based onqualitative simulation. In this model, the desired functions are expressed bystate-transit-diagrams(ST-diagrams) and design space is represented b...A model for conceptual design of mechanical devices is studied based onqualitative simulation. In this model, the desired functions are expressed bystate-transit-diagrams(ST-diagrams) and design space is represented byqualitative-state-curves(QS-curves). The first design idea, called seeds idea, is proposed by thedesigner and then is abstracted into QS-curves. The qualitative simulation is implemented based onthe QS-curves. By changing the motion of acting parts, the connection of parts and the motion ofdriving part, new design ideas are generated. With this model, a series of new design ideas derivedfrom the seeds idea can be achieved.展开更多
Comparing with continuous production process, unsteady operation process, such as startup and shutdown,tends to abnormal situations due to a large number of operations of operators and dynamic state changes involved. ...Comparing with continuous production process, unsteady operation process, such as startup and shutdown,tends to abnormal situations due to a large number of operations of operators and dynamic state changes involved. To guarantee a safe operation, process hazard analysis(PHA) is very important to proactively identify the potential safety problems. In the chemical process industry, hazard and operability(HAZOP) analysis is the most widely used method. In this paper, based on proposed qualitative simulation and inference method, an automatic HAZOP analysis method for unsteady operation processes is proposed. Mass transfer and relationships among process variables are expressed by Petri net–directed graph model based fuzzy logic. Operating procedure is expressed according to a formal expression. Possible operation deviations from normal operating procedure are identified by using a group of guidewords. Hazards are identified automatically by qualitative simulation and inference when wrong operation process is performed. The method is validated by a rectification column system.展开更多
Constructing a qualitative model for discrete rods warhead,the kinematics analysis and dynamics analysis of the rods are completed.On the basis of the qualitative model of discrete rods,a simulation case is provided.T...Constructing a qualitative model for discrete rods warhead,the kinematics analysis and dynamics analysis of the rods are completed.On the basis of the qualitative model of discrete rods,a simulation case is provided.The qualitative simulation result shows that hexagon cross section shape of rod will receive the lowest air drag while by means of better preplaced dip angle,controlling the rotation velocity of the rod and keeping every rod with identical dip angle to the axis of warhead will make the rod get a lateral direction velocity so as to have the rod gain identical casting initial velocity in its length direction.Simulation experiment shows that when dip angle of preplaced discrete rod is 6°,the damage cycle reaches the optimal value.展开更多
Qualitative reasoning uses incomplete knowledge to compute a description of the possible behaviors for dynamic systems. A standard qualitative simulation(QSIM) algorithm frequently results in a large number of incom...Qualitative reasoning uses incomplete knowledge to compute a description of the possible behaviors for dynamic systems. A standard qualitative simulation(QSIM) algorithm frequently results in a large number of incomprehensible behavioral descriptions and the simulation for complex systems frequently is intractable. Two model de- composition methods are proposed in this paper to eliminate or decrease the insujficiency of this algorithm. Using a directed graph to represent the qualitative model, the strongly connected graph based theory and genetic algorithm based model decomposition are proposed to decompose the model. A new simple system model is reconstructed by subgraphs and causal relations when the system directed graph is decomposed completely. Each sub-graph is viewed as a separate system and will be simulated separately, and the simulation result of causally upstream subsystem is used to constrain the behavior of downstream subsystems. The model decomposition algorithm provides a promising paradigm for qualitative simulation whose complexity is driven by the complexity of the problem specification rather than the inference mechanism used.展开更多
Batch processes are important in chemical industry,in which operators usually play a major role and hazards may arise by their inadvertent acts.In this paper,based on hazard and operability study and concept of qualit...Batch processes are important in chemical industry,in which operators usually play a major role and hazards may arise by their inadvertent acts.In this paper,based on hazard and operability study and concept of qualitative simulation,an automatic method for adverse consequence identification for potential maloperation is proposed.The qualitative model for production process is expressed by a novel directed graph.Possible operation deviations from normal operating procedure are identified systematically by using a group of guidewords.The proposed algorithm is used for qualitative simulation of batch processes to identify the effects of maloperations.The method is illustrated with a simple batch process and a batch reaction process.The results show that batch processes can be simulated qualitatively and hazards can be identified for operating procedures including maloperations.After analysis for possible plant maloperations,some measures can be taken to avoid maloperations or reduce losses resulted from maloperations.展开更多
The Lewisian turning-point obviously increase the labor costs of Chinese manufacturing firms,it made the employee turnover to become the key problem that how to keep the enterprise human resource stability.Here,the co...The Lewisian turning-point obviously increase the labor costs of Chinese manufacturing firms,it made the employee turnover to become the key problem that how to keep the enterprise human resource stability.Here,the conceptual catastrophe model of employee turnover is built from the new perspective of empirical study and catastrophe theory.In particular,we developed a parameter estimation method of the Cusp catastrophe model based on qualitative simulation and fuzzy math,and then to demonstrate the rationality and robustness of this method by a practical case on a manufacturing enterprise.In the end,a series of virtual experiments are carried out for the employee turnover in the period of China’s economic transformation.The main results are that,how to measure the warning,critical and mutation area of employee turnover;the real relationship between the complex economic environment and the demission of employees;the control policy from the macroscopic governmental measures and microscopic enterprise ways.展开更多
基金This project is supported by National Natural Science Foundation of China (No.50205019)Development Foundation of Shanghai Municipal Commission of Education, China (No.04EB03).
文摘A model for conceptual design of mechanical devices is studied based onqualitative simulation. In this model, the desired functions are expressed bystate-transit-diagrams(ST-diagrams) and design space is represented byqualitative-state-curves(QS-curves). The first design idea, called seeds idea, is proposed by thedesigner and then is abstracted into QS-curves. The qualitative simulation is implemented based onthe QS-curves. By changing the motion of acting parts, the connection of parts and the motion ofdriving part, new design ideas are generated. With this model, a series of new design ideas derivedfrom the seeds idea can be achieved.
文摘Comparing with continuous production process, unsteady operation process, such as startup and shutdown,tends to abnormal situations due to a large number of operations of operators and dynamic state changes involved. To guarantee a safe operation, process hazard analysis(PHA) is very important to proactively identify the potential safety problems. In the chemical process industry, hazard and operability(HAZOP) analysis is the most widely used method. In this paper, based on proposed qualitative simulation and inference method, an automatic HAZOP analysis method for unsteady operation processes is proposed. Mass transfer and relationships among process variables are expressed by Petri net–directed graph model based fuzzy logic. Operating procedure is expressed according to a formal expression. Possible operation deviations from normal operating procedure are identified by using a group of guidewords. Hazards are identified automatically by qualitative simulation and inference when wrong operation process is performed. The method is validated by a rectification column system.
文摘Constructing a qualitative model for discrete rods warhead,the kinematics analysis and dynamics analysis of the rods are completed.On the basis of the qualitative model of discrete rods,a simulation case is provided.The qualitative simulation result shows that hexagon cross section shape of rod will receive the lowest air drag while by means of better preplaced dip angle,controlling the rotation velocity of the rod and keeping every rod with identical dip angle to the axis of warhead will make the rod get a lateral direction velocity so as to have the rod gain identical casting initial velocity in its length direction.Simulation experiment shows that when dip angle of preplaced discrete rod is 6°,the damage cycle reaches the optimal value.
文摘Qualitative reasoning uses incomplete knowledge to compute a description of the possible behaviors for dynamic systems. A standard qualitative simulation(QSIM) algorithm frequently results in a large number of incomprehensible behavioral descriptions and the simulation for complex systems frequently is intractable. Two model de- composition methods are proposed in this paper to eliminate or decrease the insujficiency of this algorithm. Using a directed graph to represent the qualitative model, the strongly connected graph based theory and genetic algorithm based model decomposition are proposed to decompose the model. A new simple system model is reconstructed by subgraphs and causal relations when the system directed graph is decomposed completely. Each sub-graph is viewed as a separate system and will be simulated separately, and the simulation result of causally upstream subsystem is used to constrain the behavior of downstream subsystems. The model decomposition algorithm provides a promising paradigm for qualitative simulation whose complexity is driven by the complexity of the problem specification rather than the inference mechanism used.
文摘Batch processes are important in chemical industry,in which operators usually play a major role and hazards may arise by their inadvertent acts.In this paper,based on hazard and operability study and concept of qualitative simulation,an automatic method for adverse consequence identification for potential maloperation is proposed.The qualitative model for production process is expressed by a novel directed graph.Possible operation deviations from normal operating procedure are identified systematically by using a group of guidewords.The proposed algorithm is used for qualitative simulation of batch processes to identify the effects of maloperations.The method is illustrated with a simple batch process and a batch reaction process.The results show that batch processes can be simulated qualitatively and hazards can be identified for operating procedures including maloperations.After analysis for possible plant maloperations,some measures can be taken to avoid maloperations or reduce losses resulted from maloperations.
基金supported by China National Nature Science Foundation(Grant No.71271093).
文摘The Lewisian turning-point obviously increase the labor costs of Chinese manufacturing firms,it made the employee turnover to become the key problem that how to keep the enterprise human resource stability.Here,the conceptual catastrophe model of employee turnover is built from the new perspective of empirical study and catastrophe theory.In particular,we developed a parameter estimation method of the Cusp catastrophe model based on qualitative simulation and fuzzy math,and then to demonstrate the rationality and robustness of this method by a practical case on a manufacturing enterprise.In the end,a series of virtual experiments are carried out for the employee turnover in the period of China’s economic transformation.The main results are that,how to measure the warning,critical and mutation area of employee turnover;the real relationship between the complex economic environment and the demission of employees;the control policy from the macroscopic governmental measures and microscopic enterprise ways.