To more accurately learn reliability on anti-overturning stability for a truck crane, a parametric multi-body dynamics model is built in a dynamic software environment with overall key parameters as design variables. On this basis, stability criteria of this truck crane are established according to the working conditions and crane dynamics simulation results. After a truncated normal distribution sampling method is given for design variables which will effect on truck crane's stability, the reliability analysis of this truck crane is done via Monte Carlo method. The result indicates that the truck crane's stability reliability is 0.9998 in the most dangerous working condition. Analysis shows that the reliability calculation of truck crane anti-overturning stability is feasible using modern multi-body dynamics and Monte Carlo method, and the results are more accurate than conventional safety factor method.

For the needs of laboratory equipment management, combined with development of RFID, a laboratory equipment management system is designed based on RFID. System design is briefly described. UHF RFID reader design is described in detail. The anti-collision algorithm of ISO 18000-6C protocol is partially improved, so that the reader is able to make real-time adaptations of the anti-collision algorithm using IAP according to the quantity of laboratory equipments, thus raising the efficiency of algorithm recognition. Experimental results prove that the system design has reliability, stability and certain practical value.