Patent classifications
G08B29/02
INTELLIGENT INERT MEASUREMENT MODE
Embodiments relate generally to systems and methods for gas detection. A method may comprise operating a gas detector with a first alarm setting comprising a first predefined threshold; receiving sensed data of oxygen content in the ambient air; when the sensed data is below the first predefined threshold, activating an alarm; generating an acknowledgement request asking if the gas detector has entered an inert work zone; receiving a response from the user acknowledging that the gas detector has entered an inert work zone; deactivating the alarm; changing the alarm settings of the gas detector to a second alarm setting comprising a second predefined threshold; continuing to receive sensed data of oxygen content in the ambient air; when the sensed data is above the second predefined threshold, activating an alarm; and generating an acknowledgement request for the user asking if the gas detector has entered a normal operation work zone.
SYSTEMS AND METHODS FOR HANDLING LATENT ANOMALIES
Systems and methods for handling latent anomalies in field devices are described herein. When an anomaly is detected, the system can earmark the presence of the detected anomaly with a flag or other notification, and announce the existence of the anomaly to a user. In some embodiments, a self-test may be distributed to devices in the field that may be potentially affected by the latent anomaly so that those devices can monitor for the presence of the anomaly and take appropriate action if detected.
SYSTEMS AND METHODS FOR HANDLING LATENT ANOMALIES
Systems and methods for handling latent anomalies in field devices are described herein. When an anomaly is detected, the system can earmark the presence of the detected anomaly with a flag or other notification, and announce the existence of the anomaly to a user. In some embodiments, a self-test may be distributed to devices in the field that may be potentially affected by the latent anomaly so that those devices can monitor for the presence of the anomaly and take appropriate action if detected.
Audio riser active electrical supervision
An audio riser active electrical supervision system includes a high-voltage audio alert system connected to a riser circuit. The high-voltage audio alert system disconnects a high-voltage analog signal from the riser circuit when the audio riser active electrical supervision system operates in a standby mode, and connects the high-voltage analog signal to the riser circuit when the audio riser active electrical supervision system operates in an active alert mode. A plurality of isolator modules operate in a closed state that connects a circuit node to the riser circuit and an open state that disconnects the respective circuit node from the riser circuit. A riser supervision circuit is connected to at least one isolator module to detect a circuit fault on the riser circuit when the audio riser active electrical supervision system operates in the standby mode and the active alert mode.
NOTIFICATION OF EVENT SUBSEQUENT TO COMMUNICATION FAILURE WITH SECURITY SYSTEM
Methods and systems for monitoring a premises are described. A server external to the premises may be in communication with a system at the premises. The server may receive status data from the system from one or more interfaces. If a loss of communication occurs on one interface, then the status data may be received via a second interface. The server may determine timing information for status data received via the first interface and for status data received via the second interface. The server may send, based on the timing information, a message to a computing device indicating the loss of communication.
NOTIFICATION OF EVENT SUBSEQUENT TO COMMUNICATION FAILURE WITH SECURITY SYSTEM
Methods and systems for monitoring a premises are described. A server external to the premises may be in communication with a system at the premises. The server may receive status data from the system from one or more interfaces. If a loss of communication occurs on one interface, then the status data may be received via a second interface. The server may determine timing information for status data received via the first interface and for status data received via the second interface. The server may send, based on the timing information, a message to a computing device indicating the loss of communication.
System and method for alarm signaling during alarm system destruction
A system and method provide for the immediate transmission of a potential alarm to a remote alarm signal escrow site and from the escrow site to a host station in the event where a control panel or an alarm signaling device is tampered with or destroyed by a disablement tactic, e.g., a “crash and smash intrusion.” A system and method may also send an alarm signal during such an attack by using predictive analysis of real-time events.
System and method for alarm signaling during alarm system destruction
A system and method provide for the immediate transmission of a potential alarm to a remote alarm signal escrow site and from the escrow site to a host station in the event where a control panel or an alarm signaling device is tampered with or destroyed by a disablement tactic, e.g., a “crash and smash intrusion.” A system and method may also send an alarm signal during such an attack by using predictive analysis of real-time events.
ALARM CAUSALITY TEMPLATES FOR NETWORK FUNCTION VIRTUALIZATION
A processor accesses a plurality of time series of alarms of a plurality of alarm types that are produced by resources of a network function virtualization (NFV) system. The processor identifies clusters of the plurality of alarm types based on similarities between the plurality of time series and determine causal connections between alarm types in the clusters based on temporal proximity and ordering of the alarm types in the clusters. The processor then stores one or more causality templates representative of the causal connections in a memory.
ALARM CAUSALITY TEMPLATES FOR NETWORK FUNCTION VIRTUALIZATION
A processor accesses a plurality of time series of alarms of a plurality of alarm types that are produced by resources of a network function virtualization (NFV) system. The processor identifies clusters of the plurality of alarm types based on similarities between the plurality of time series and determine causal connections between alarm types in the clusters based on temporal proximity and ordering of the alarm types in the clusters. The processor then stores one or more causality templates representative of the causal connections in a memory.