An air monitoring system measures tan amount of pollutant in the air. The system includes a plurality of air quality sensor devices arranged within a selected area. Each of the air quality sensor devices is configured to measure air pollutant levels in the selected area, and includes at least one sensor operatively coupled to a controller, wherein the controller is configured to receive a measured input from the at least one sensor. A wireless communication device is coupled to the controller, and is configured to communicate with a central server device.

The present invention discloses a sensing component and an intelligent socket, comprising a sensing unit, a warning unit and a control unit; the sensing unit and the warning unit are connected to the control unit respectively; the sensing unit acquires the environmental data and sends the data to the control unit for processing and analysis; the control unit sends the control signal to the warning unit to execute. The intelligent socket also comprises the sensing component, a wireless communication and an indicator light unit.

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

A sensor device comprises a radio circuit; air-quality detectors; a microcontroller; a building management system (BMS) integration module, the BMS integration module including a transceiver distinct from the radio circuit and a co processor distinct from the microcontroller; and a memory that configures the sensor device to: transmit, during a first time period, a wake-up signal, wherein the wake-up signal includes at least a packet number; send, during a second time period, an acknowledgment (ACK) signal, wherein the ACK signal is sent in reference to a synchronized time slot and a packet number; transmit, during a third time period, at least sensor reading data of least one air quality detector, wherein the sensor reading data is encrypted using at least an encryption key stored in the memory; receive, during a fourth time period, a sleep signal; and enter into a sleep mode upon receipt of the sleep signal.

One variation of a method for detecting pathogens in an environment includes, during a first sampling period: triggering collection of a pathogen sample from ambient air in the environment by an air sampler; and tracking a first organic load of the first pathogen sample via a detection subsystem integrated within the air sampler, the first organic load representative of a first amount of organic matter present in the first pathogen sample. In response to the first organic load exceeding a threshold organic load defined for the environment, the method further includes: interpreting presence of a set of pathogens in the environment via genetic analysis of the first pathogen sample; and, in response to detecting presence of a first pathogen, in the set of pathogens, in the first pathogen sample, transmitting a notification indicating presence of the first pathogen in the environment to a user associated with the environment.

The disclosure provides a method for determining a restriction scheme in a smart city, which is implemented based on an Internet of Things system for determining the restriction scheme in the smart city. The method includes: determining the urban pollution information through an object platform, sending the urban pollution information to a management platform through a sensor network platform, determining the optimal restriction scheme of the city according to the urban pollution information through the management platform, and sending the optimal restriction scheme to the user platform through the service platform. The urban pollution information including at least one of urban air image, air quality information, and vehicle exhaust information.

A process and a system for monitoring at least one concentration of a gas in a monitored area includes generating data by a mobile gas measuring device (3a), whose position in the monitored area is determined or is known and transmitting the data directly or indirectly to a central data processing unit (1). The data are compared with at least one limit value, and an information signal is outputted by the at least one mobile gas measuring device and/or by the central data processing unit in case of an undershooting or overshooting of the limit value. The monitored area is divided into at least two zones (8) and zone-specific parameters are assigned to the zones. A functionality of the mobile gas measuring device is set and/or changed based on the current position of the gas measuring device and based on at least one of the zone-specific parameters.

A gas detection device and a process monitor an area for a combustible target gas. A heating segment of a detector (10) is heated when electrical current flows therethrough. A heating segment of a compensator (1) is heated when electrical current flows therethrough. An electrical voltage is applied to both the detector and the compensator. The heating of the detector (10) causes a combustible target gas to be oxidized in an interior of the gas detection device. A detection variable, which depends on the temperature (Temp_10) of the detector, and a detection variable, which depends on the temperature (Temp_11) of the compensator, are measured. A presence and/or a concentration of a target gas are determined as a function of the detection variables. A quality parameter is measured and increases as the detection variable depending on the detector temperature increases and as the detection variable depending on the compensator temperature decreases.

In one illustrative configuration, an air quality monitoring system may enable wide-scale deployment of multiple air quality monitors with high-confidence and actionable data is provided. Further, the air quality monitoring system may enable identifying a target emission from a plurality of potential sources at a site based on simulating plume models. The simulation of plume models may take into consideration various simulation parameters including wind speed and direction. Further, methods of determining a plume flux of a plume of emissions at a site, and methods of transmitting data from an air quality monitor are disclosed.

An apparatus for sensing, the apparatus comprising: a plurality of genetically modified sensors and a transducer array. The plurality of genetically modified sensors comprise a plurality of subsets of sensors wherein the sensors are genetically modified so as to provide an output in response to one or more chemicals. The plurality of genetically modified sensors are genetically modified in a non-correlated manner so that different subsets of sensors are configured to provide a different affinity to different chemicals. The transducer array, comprises a plurality of pixels, wherein different subsets of the plurality of genetically modified sensors are coupled to different pixels so as to cause the pixels to provide outputs dependent upon the genetic modification of the subset of sensors coupled to the pixel. Detection of one or more chemicals by one or more of the genetically modified sensors causes an identifiable output signal to be provided by the transducer array.