Research On Staff Location Algorithm Of Nuclear Power Plant Based On Multi-source Heterogeneous Information Fusion Technology

As a clean and environmentally friendly energy source,nuclear power has begun to be built or used in many countries.The nuclear power plant has a large area,complex internal structure,numerous equipments,and its internal environment is very unfriendly to the staff.How to manage and arrange a large number of staff in such a large nuclear power plant,improve work efficiency and reduce accident rate is one of the important contents of nuclear power plant management.High-precision personnel location information can provide the most basic and important basis for the efficient management of personnel.At present,the positioning system on the market is difficult to meet the high-precision pedestrian positioning requirements in special environments such as nuclear power plants,and there are few studies on pedestrian positioning technology in this special field.In this paper,the information fusion technology and pedestrian positioning technology are deeply studied.Based on these researches,a positioning framework based on decisionlevel fusion is proposed,and it is implemented by the federated Kalman filter algorithm.The fusion positioning system can integrate the position data output by the inertial positioning system,the Global Positioning System(GPS),the WIreless-FIdelity(WiFi)fingerprint positioning system,the Ultra Wideband(UWB)positioning system,and the Geographic Information System(GIS)auxiliary positioning system at the decision level.After algorithm simulation,the accuracy of the fusion positioning system proposed by the subject is close to the accuracy of the highest precision subsystem,and the fusion positioning system has certain fault tolerance performance.In the non-ideal case,When the positioning source other than the inertial positioning system is only effective in the local area,the output precision of the fusion positioning system can be stabilized within the allowable error range after the system is used for more than 200 minutes,and is not diverged by the influence of the inertial positioning system.At the same time,the simulation scene was built and experiments were carried out to test the actual positioning effect of the fusion positioning algorithm.The experimental results show that when the distance where the GPS and UWB positioning system can output data is 30% and 10% of the total path distance,the error of the fusion positioning system is reduced by 29.6% and 46.4% compared with the single GPS or single inertial positioning system.When the allowable error range is 5m,the track matching degree of the fusion positioning system is increased by 33.1% and 71.7% compared with the single GPS or single inertial positioning system after 1200 m.