Abstract: A method for determining a false negative rate of mobile monitoring and requisite number of mobile monitoring vehicles. The method focuses on road network of an urban area, by installing air pollution detection equipment on the mobile monitoring vehicles, to monitor air quality of the urban area. The method includes establishing a curve model of monitoring times for the mobile monitoring vehicles, determining two parameters of expected indicator: covered range, number of scheduled detections; and finding out a requisite number (C0) of the mobile monitoring vehicles, corresponding to a curve model which meets the two parameters of expected indicator.

Abstract: A multi-core sensor system in taxi roof light is provided. The multi-core sensor system can intelligently determine whether the change is caused by the sub-sensor failure or sudden pollution, when the data detected by the sub-sensor suddenly changes dramatically, so as to increase the reliability of detection data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, thereby ensuring the continuity of the sub-sensor detection data; which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.

Abstract: A method for determining a false negative rate of mobile monitoring and requisite number of mobile monitoring vehicles. The method focuses on road network of an urban area, by installing air pollution detection equipment on the mobile monitoring vehicles, to monitor air quality of the urban area. The method includes establishing a curve model of monitoring times for the mobile monitoring vehicles, determining two parameters of expected indicator: covered range, number of scheduled detections; and finding out a requisite number (C0) of the mobile monitoring vehicles, corresponding to a curve model which meets the two parameters of expected indicator.

Abstract: A taxi roof light includes a gas distribution tank, a control module, and a detection module. The gas distribution tank is used to distribute detected gas to each individual sub-sensor. The gas inlet of the gas distribution tank is connected to a gas sampling head. A floc prevention net is installed at the gas inlet. The arrangement of the floc prevention net at the gas inlet and the gas outlet can prevent the unexpected matter from entering the monitoring device to damage the monitoring device.

Abstract: The disclosure provides a method for selecting bus lines through collaborative monitoring of taxis and buses. The method focuses on road network of an urban area, by installing air pollution detection equipment on the mobile monitoring vehicles, to monitor air quality of the urban area. The method includes establishing a curve model of monitoring times for the taxis; establishing a curve model of monitoring times for each bus line, in which its horizontal axis is consistent with the horizontal axis of the taxi detection frequency curve model; assigning monitoring times to the corresponding road section unit; sorting each bus line according to the numbers of undetected segments the each bus line covers; and selecting the bus routes participating in collaborative monitoring.

Abstract: A multi-core sensor system in taxi roof light is provided. The multi-core sensor system can intelligently determine whether the change is caused by the sub-sensor failure or sudden pollution, when the data detected by the sub-sensor suddenly changes dramatically, so as to increase the reliability of detection data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, thereby ensuring the continuity of the sub-sensor detection data; which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.