A method for isolation and restoration for a multi-core sensor system within a taxi is provided. This method can intelligently determine whether the reason for an abrupt dramatic change in the data detected by sub-sensor is a sensor fault or sudden pollution, so as to increase the reliability of the data detected by the sub-sensor. This method can automatically determine if the repair can be performed when a device fault occurs, so as to ensure the continuity of the detection data of the sub-sensor, 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.

A multi-core sensor system is provided. The multi-core sensor system can intelligently determine whether the reason for an abrupt dramatic change in sensor data is a sub-sensor fault or sudden pollution, so as to increase reliability of detected data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, so as to ensure the continuity of sub-sensor detected 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.

A method for determination and isolation for abnormal sub-sensors in a multi-core sensor. It can be intelligently determined whether the reason for an abrupt dramatic change in sensor data is a sensor fault or sudden pollution, so as to increase data reliability. A data online rate is increased if a repair can be performed via automatic determination when a device fault occurs, 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.

An apparatus for determining a presence, a concentration or a change in concentration of a target material in an environment is disclosed. The apparatus comprises first and second sensors configured to respond to the target material. The apparatus further comprises a fluid inlet in fluid communication with the environment, and a valve assembly having a first and second configuration. In the first configuration, the fluid inlet is in fluid communication with only the first sensor. In the second configuration, the fluid inlet is in fluid communication with the first sensor and the second sensor.

The disclosure provides a device for high-coverage monitoring of vehicle interior air quality. The device includes at least two types of mobile monitoring vehicles for atmospheric pollutants. At least one type of mobile monitoring vehicles is an optimal group of certain number of vehicles selected from candidate vehicles, by installing air pollution detection equipment on the mobile monitoring vehicles, to monitor air quality of the urban area. A method for selection of the optimal group of certain number of vehicles includes decomposing the road network of the urban area into road segment units (RSUs); initializing a database of RSUs, which comprises RSU numbers, RSU locations, and RSU detection records; counting the traveling route of each candidate vehicle that travels within a certain period of time; recording the number of times that each candidate vehicle passes each RSU.

An analyzing device is provided, which can accurately analyze information related to generation sources. A generation source analyzing device is provided, which includes a measurement value acquiring unit to acquire time-series measurement values of a concentration of each of a plurality of measured object components at a measurement point, a correlation calculating unit to calculate a correlation value between the time-series measurement values of at least one set of the measured object components, and a generation source analyzing unit to analyze information related to generation sources of at least one measured object component based on the correlation value calculated by the correlation calculating unit.

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.

Methods, systems, and apparatus for configuring a multi-modal gas sensor array that includes multiple gas sensors. The multiple gas sensors include a first type of gas sensor and a second, different type of gas sensor. A test gas is provided to the gas sensors, where the test gas includes known analytes. Data generated by each of the gas sensors in response to the known analytes in the test gas is collected. A proper subset of gas sensors is selected to include in an optimized gas sensor array, based on the responses of the gas sensors to the known analytes in the test gas meeting a threshold response and meeting a threshold temporal response. The multi-modal gas sensor array is configured using the proper subset of gas sensors.

The present invention relates to a method for detecting an analyte, which is based on the detection of a signal caused by a change of the mechanical properties of a permeable freestanding nanoparticle composite. The present invention also relates to a method for determining the concentration of and/or recognizing an analyte.

The invention relates to a method for the identification of an analyte in a sample fluid. The method comprises the performance of a set of measurements on at least two sensors of different types. Sensors of different types may comprise Gas Chromatography sensors, CMOS gas sensors, a combination thereof, or more generally sensors in which it is possible to control a first physical parameter and measure, for different values of the first parameter, a second physical parameter representative of at least a concentration of the analyte. The method comprises the detection of maxima of the second parameter, the access to databases in order to find reference values of the first parameters in which maxima are found, and the comparison of values at which maxima are found and reference values, on the two sensors.