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Model based supervision of process engineering plants is difficult due to the complexities arising out of the energetic couplings in the model. In this series of two papers, it is shown how the Bond Graph as a multidisciplinary and integrated tool can be used for dynamic modeling and Fault Detection and Isolation heal of process engineering including (energetic and chemical phenomena). In this first paper a pseudo Bond Graph model technique is applied to a pilot plant reactor equipped with a mono-fluid heating/cooling system. A modeling structure has been implemented according to the process sub-units reactor, jacket, supply system and heating/cooling system and validated through experimental observations. In the sequel of this paper, the use of Bond Graph techniques is proposed to indicate the appearance of undesirable product in the reaction mixture, so as to elaborate an efficient and sensitive method for early warning detection of runway. In the second part, the causal and structural proprieties of obtained Bond Graph are used not only to validate the model, but also to provide the computational algorithms to eliminate unknown variables from coupled thermo-chemical models and thus generate Analytical Relations (ARRs) in terms of measurements and parameters for online diagnosis.

WSNs are designed to efficiently collect data and monitor environments, among other applications. This article describes the concept and realization of an Active Security System for security management of warehousing of chemical substances using WSNs. We present an approach to modeling and simulating cooperation between intelligent products that are equipped with a platform of sensor networks and ambient communication capabilities to increase their security, in a context of ambient intelligence of a deposit for chemical substances. Behavior evolution of every intelligent product is modeled by hierarchical Petri Nets. The simulation of the model is implemented in the Castalia-OMNET++ Tools language

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This second part of the two series papers deals with the problem of bond graph model based fault diagnosis for a class of chemical reactions taking place in a jacketed reactor. A bond graph model based fault detection and isolation approach applied to design of a supervision system for a complex chemical reactor is presented. The nonlinearities and energetic couplings involved in the dynamics require a suitable supervision environment. Furthermore, the causal and structural properties of the bond graph tool are used to design Fault Detection and Isolation (FDI) algorithms (i.e. the generation of fault indicators) to determine the availability of the chemical process. Thus, a unified framework is developed to take into account faults affecting sensors, actuators and process. Structural analysis of the model is utilized to obtain the fault signatures for fault isolation. The decision procedure to detect and isolate the faults uses the residuals, evaluated online. A detailed kinetic modelling approach had been proposed in previous work to simulate chemical reactions and analyze the appearance of secondary reactions under industrial conditions in this present paper.