Author’s proposed risk monitor system of Nuclear Power Plant (NPP) is based on the idea of Plant Defense-in-Depth (DiD) risk monitor and reliability monitor to monitor what degree of safety functions incorporated in the plant system is maintained by multiple barriers of Defense-in-Depth (DiD). In the risk monitor system, the range of risk state is not limited in core damage accident but includes all kinds of dangerous states brought by severe accident. In present study, method of the reliability monitor of a risk monitor system is applied to the PWR safety system in order to evaluate the risk state numerically by pursuing all conditions of reliability evaluation given by plant DiD risk monitor. Large break LOCA is taken as an initiating accident event and the implementation of method of the reliability monitor is discussed in detail for single loop PWR safety system by considering the Multilevel Flow Model (MFM), Failure Mode and Effect Analysis (FMEA), and the qualitative reliability evaluation by Fault Tree Analysis (FTA) and the dynamic reliability evaluation by GO-FLOW. The summary of reliability results of PWR safety subsystems are also presented.
A new risk monitor system has been under developing, in order not only to prevent severe accident in daily operation but also even to serve as to mitigate the radiological hazard just after severe accident happens and long term management of post-severe accident consequences. In the proposed risk monitor, the range of risk is not limited to core melt accidents but includes all kinds of negative outcome events, i.e., not only precursor troubles and incident but also any types of hazard states resulting from a severe accident. The whole system of the proposed risk monitor system is configured the by plant Defense-in Depth (DiD) risk monitor and reliability monitor, and in this paper the result of how to configure the Plant Defense in-Depth Risk Monitor by functional modeling approach is first presented. Then, a preliminary study is conducted on applying the integrated functional modeling for Plant Defense-in-depth risk monitor for passive safety system of AP1000.
According to the working principle of load monitored oil pressure, in order to real-time monitor the actual load of auxiliary shift, and make the execution of alarming on the malfunctions in the working state of the equipment concerned, we designed a monitor system of auxiliary shift based on Labview[1]. This system can provide guarantee of the safety lifting. So the formation, design principle, hardware and software design well be introduced in this article.
Abstract
A knowledge-based Bumper Design System (BDS) has been developed which automatically generates optimized conceptual bumper beams which meet manufacturing and product performance requirement.
The BDS has captured and refined the corporate design knowledge of the product design engineer, the CAD designer, the CAE analyst and manufacturer. The BDS enables the bumper design engineers to evaluate multiple design alternatives quickly and early in the design process. It also automates repetitive bumper analysis tasks.
The purpose of the paper is to describe the BDS. A description of the Knowledge Based Engineering (KBE) methodology used to create the BDS is given, as well as an overview of bumper designs and design requirements. An overview of the BDS software design, user interface, and a sample run are also presented.
The system is a new on-line monitor system. Which is consisted of a master station , which is a computer with intelligent CAN-bus interface unit, and a slave station, which is a monitor module for battery parameter measure. The paper introduced the hardware at first, which composed of the CPU circuit, the canbus interface, and then, focus on the software design , including the automatic monitoring of CAN bus transmission,the A/D sampling.
An Online Risk Monitor System (ORMS) to Increase Safety and Security Levels in Industry