This paper describes a new intelligent storehouse management vehicle system based on image processing and Radio Frequency Identification (RFID) technologies to ensure the security of storehouses of logistics enterprises and improve the efficiency of storage. The vehicle is able to go ahead automatically by visual navigation in storehouses with the function of face recognition and alarm, as well as automatic statistics of commodities. Hough transformation is used to detect straight lines for angle control, and RFID based component is applied to the commodity management. The results show that our vehicle and storehouse management system can successfully fulfill various tasks with high accuracy of performance, which will lead to a practical merchandise application after further improvements.
To decrease the probability of severe accidents for the stream boiler, a kind of preventive maintenance named operational check based RCM (Reliabilty Centred Maintenance) is put forward to reduce the probability of multi-ply failure occurrence caused by the covert failure, which can reduce or hold back the occurrence of severe accident. The instance is given to describe the influence of the preventive maintenance named operational check for the occurrence probability of severe accident. The instance indicates that the occurrence probability of severe accident will greatly reduce, so this method is useful for machine management.
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