Integrated monitoring and analysis systems and methods

A method for detecting an air quality anomaly at a monitored space, comprising:

• capturing, at intervals in a sensing device located at the monitored space, raw sensor data from an environmental sensor, a carbon monoxide (CO) sensor, and a polymer sensor, the environmental sensor including a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a volatile organic compound sensor, and a proximity sensor;
• processing, using a smoothing algorithm, the raw sensor data to generate smoothed sensor data;
• calculating, for at least of the CO sensor and the polymer sensor, a difference between the smoothed sensor data and a baseline;
• driving, for at least of the CO sensor and the polymer sensor, a state machine to change state between a clean air state, an anomalous behavior state, and an anomaly detected state, based upon the difference;
• and
• sending an anomaly detected report, indicating the air quality anomaly, to a cloud detection service when the state is the anomaly detected state.

A system for monitoring air quality of a monitored space, comprising:

• a sensing device, located at the monitored space, comprising:
• an environmental sensor positioned to sense a characteristic of air within the monitored space, the environmental sensor including a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a volatile organic compound sensor, and a proximity sensor;
• a carbon monoxide (CO) sensor positioned to sense a level of CO in the air;
• a polymer sensor positioned to sense a level of a targeted molecule in the air;
• an interface for communicating with a local network;
• a processor communicatively coupled with a memory;
• and
• detector firmware stored in the memory and having machine-readable instructions that, when executed by the processor, control the processor to:
• capture, at intervals, raw sensor data from the environmental sensor, the CO sensor, and the polymer sensor;
• process, using a smoothing algorithm, the raw sensor data to generate smoothed sensor data;
• calculate, for at least the CO sensor and the polymer sensor, a difference between the smoothed sensor data and a baseline;
• drive, for at least the CO sensor and the polymer sensor, a state machine to change state between a clean air state, an anomalous behavior state, and an anomaly detected state, based upon the difference;
• and
• send, via the interface, an anomaly detected report, indicating an air quality anomaly, to a cloud detection service when the state is the anomaly detected state;
• and
• the cloud detection service comprising:
• a collection service for receiving the anomaly detected report and for receiving the raw sensor data from the sensing device;
• a model prediction service for processing characteristics and metrics of the raw sensor data to generate probabilities indicative of the characteristics and metrics corresponding to profiles of air quality events;
• a prediction assembling service for assembling the probabilities to generate a score for the air quality anomaly;
• and
• an anomaly dispatcher for sending an air quality report when the score is higher than a first threshold, the first threshold defining a value corresponding to a high probability that the raw sensor data indicates a significant air quality event.

A computer-readable media storing machine-readable instructions that, when executed by a computer, perform steps for detecting an air quality anomaly at a monitored space, comprising:

• instructions for capturing, at intervals, raw sensor data from an environmental sensor, a carbon monoxide (CO) sensor, and a polymer sensor, the environmental sensor including a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a volatile organic compound sensor, and a proximity sensor;
• instructions for processing, using a smoothing algorithm, the raw sensor data to generate smoothed sensor data;
• instructions for calculating, for at least the CO sensor and the polymer sensor, a difference between the smoothed sensor data and a baseline;
• instructions for driving, for at least the CO sensor and the polymer sensor, a state machine to change state between a clean air state, an anomalous behavior state, and an anomaly detected state, based upon the difference;
• and
• instructions for sending an anomaly detected report, indicating the air quality anomaly, to a cloud detection service when the state is the anomaly detected state.