A pre-alarming method, a control method, and a control system for a harmful flow pattern in an oil and gas pipeline-riser system are provided. Support vector machines are trained. Through at least three pressure difference signals on the pipeline-riser system, an overall flow pattern in the pipeline-riser system is continuously and rapidly identified. Depending on monitoring on formation of a long liquid slug in a seabed pipeline and a quick response of the mean value of each pressure difference signal on a flow rate change, pre-alarming for a liquid slug caused by different mechanisms is realized, and liquid slug formation positions respectively of seabed pipeline and riser bottom are correspondingly pre-alarmed; after a pre-alarm is issued, there is enough time for a control device to respond, so as to avoid formation of the harmful flow pattern or damages caused by the harmful flow pattern.

Systems, methods, and computer program products that are configured to identify or otherwise detect the presence of bacteria, classify the identified or detected bacteria, and also predict the growth of the classified bacteria on various touchable surfaces within a vehicle passenger cabin or compartment. Such systems, methods, and computer program products are configured to identify/detect, classify, and predict the presence and/or growth of bacteria, and transmit one or more alerts, warnings, and/or reports to vehicle owners, service providers, and/or occupants based on the identification/detection, classification, and prediction.

A space monitoring system includes environment measuring means for measuring an atmospheric environment of a monitored space (S), person sensing means for sensing the existence of a person in the monitored space (S), space condition calculating means for calculating whether the monitored space is an indoor environment likely to cause droplet infection or whether the monitored space is expected to become an indoor environment likely to cause droplet infection, based on atmospheric environment data measured by the environment measuring means and person data sensed by the person sensing means, and display means for displaying an indication for facilitating a user to improve an existing indoor environment likely to cause droplet infection or prevent the monitored space from becoming an indoor environment likely to cause droplet infection, based on a result of calculation by the space condition calculating means.

A space monitoring system includes environment measuring means for measuring an atmospheric environment of a monitored space (S), person sensing means for sensing the existence of a person in the monitored space (S), space condition calculating means for calculating whether the monitored space is an indoor environment likely to cause droplet infection or whether the monitored space is expected to become an indoor environment likely to cause droplet infection, based on atmospheric environment data measured by the environment measuring means and person data sensed by the person sensing means, and display means for displaying an indication for facilitating a user to improve an existing indoor environment likely to cause droplet infection or prevent the monitored space from becoming an indoor environment likely to cause droplet infection, based on a result of calculation by the space condition calculating means.

In some examples, a system includes a plurality of articles of personal protected equipment (PPE) that are each assigned to a particular worker. The system may also include a data hub that detects an input that initiates a broadcast of diagnostic self-check messages; identifies, in response to the input, each article of PPE of the plurality of articles of PPE; broadcasts, based on identifying each article of PPE, the diagnostic self-check messages to the respective articles of PPE, wherein each article of PPE receives its respective self-check message at its communication component; in response to receiving a set of diagnostic acknowledgement messages from one or more of the plurality of articles of PPE that have performed a diagnostic self-check, determines whether the set of diagnostic acknowledge messages satisfy one or more self-check criteria; and performs one or more operations based on whether the self-check criteria are satisfied.

In some examples, a system includes a plurality of articles of personal protected equipment (PPE) that are each assigned to a particular worker. The system may also include a data hub that detects an input that initiates a broadcast of diagnostic self-check messages; identifies, in response to the input, each article of PPE of the plurality of articles of PPE; broadcasts, based on identifying each article of PPE, the diagnostic self-check messages to the respective articles of PPE, wherein each article of PPE receives its respective self-check message at its communication component; in response to receiving a set of diagnostic acknowledgement messages from one or more of the plurality of articles of PPE that have performed a diagnostic self-check, determines whether the set of diagnostic acknowledge messages satisfy one or more self-check criteria; and performs one or more operations based on whether the self-check criteria are satisfied.

Various aspects of the disclosure relate to monitoring a physical location to determine and/or predict anomalous activities. One or more machine learning algorithms may be used to analyze inputs from one or more sensors, cameras, audio recording equipment, and/or any other types of sensors to detect anomalous measurements/patterns. Notifications may be sent one or more devices in a network based on the detection.

In a system and method for detecting carbon dioxide in an enclosed volume, a CO2 detection system is triggered to awaken from a deep sleep state. Once awake, the system queries system sensors to determine the current system parameters, including current CO2 level and temperature. Current and expected CO2 decay rates are calculated, and the system determines whether the current CO2 decay rate is within an expected normal range for an unoccupied enclosed volume. If the volume is static, i.e., not moving, and the CO2 rate is rising and the temperature is rising, a series of alerts are sent to contacts previously set up by the user. If the alerts are not cleared by a user, emergency management personnel are notified.

In a system and method for detecting carbon dioxide in an enclosed volume, a CO2 detection system is triggered to awaken from a deep sleep state. Once awake, the system queries system sensors to determine the current system parameters, including current CO2 level and temperature. Current and expected CO2 decay rates are calculated, and the system determines whether the current CO2 decay rate is within an expected normal range for an unoccupied enclosed volume. If the volume is static, i.e., not moving, and the CO2 rate is rising and the temperature is rising, a series of alerts are sent to contacts previously set up by the user. If the alerts are not cleared by a user, emergency management personnel are notified.

A monitoring system for monitoring an environment and generating data in response to the presence of at least one chemical hazardous to human health in the environment. The monitoring system is configured to communicate the data to an associated personal communication device or the like for processing. The monitoring system can be in the form a selectively attachable component.