79results about How to "Reduce the chance of false positives" patented technology

The invention relates to global-positioning technology, which provides a bus-stop reporting device aiming at the defect of the prior art that reporting stop by a manual-operation machine is easy to report mistakenly. The invention comprises a loudspeaker and a stop information storage module that is used for storing stop information tables recording the name and position information of each stop;a GPS positioning module, which is used for receiving GPS signals and generating and outputting information of the present position; a matching module, which is used for receiving the information of the present position to match with the stop position information recorded in the stop information tables and play arriving prompt messages including a matched stop name by the loudspeaker. The invention further provides a bus-stop reporting method. The matching between the information of the present position and stop position information in the stop information tables is automatically realized without manual intervention, which can reduce wrong reporting rate in greatest degree; the device is connected to a bus directing center with the help of mobile communication network, which leads the busdirecting center to know the situation of buses at real time and is helpful for further optimization of bus schedule.

An atmospheric heavy pollution forecast method based on a combination of a numerical model and a statistic analysis includes that: national centers for environmental prediction (NCEP) global forecast ambient field data are obtained; a forecast trigger command is compulsively generated by manual power or automatically generated after the operation of a meteorological model finishes; a forecast command is started to obtain a meteorological factor data set of a simulation area and surrounding areas; air quality monitoring data are obtained; a forecast factor set data file is generated; the visibility of a forecast day is obtained through a visibility forecast sub-mode; an air quality level of the forecast day is differentiated in a qualitative mode through a pollution level initial differentiation sub-mode; a weather type of the forecast day is diagnosed and identified through a weather type identification sub-mode; pollutant concentration of the forecast day is calculated through a heavy pollution quantitative forecast sub-mode; a hazard level of the pollution level to a human body is confirmed, and administrators are provided with a decision basis for emergency management. Compared with a high concentration pollution weather forecast effect of existing air quality forecast systems at home and abroad, the atmospheric heavy pollution forecast method based on the combination of the numerical model and the statistic analysis remarkably improves the air pollution forecast effect.