An environment detection system includes a sound wave transmitter, a sound wave receiver, and a control unit. The sound wave transmitter transmits a detection sound wave to a target space. The sound wave receiver receives the detection sound wave transmitted by the sound wave transmitter. The control unit controls the sound wave transmitter. The environment detection system detects at least either a temperature distribution or an air velocity distribution in the target space. The control unit executes a first control to regulate at least either a volume or a frequency of the detection sound wave transmitted by the sound wave transmitter so that a volume of the detection sound wave received by the sound wave receiver is higher than or equal to a predetermined reference reception volume.

A monitoring device for detecting a diagnostic state of an industrial machine on the basis of vibrations associated with the industrial machine, includes at least one measurement transducer for detecting at least one first signal characterizing the vibration of the industrial machine in a time period and for detecting at least one second signal characterizing the vibration of the industrial machine in the same time period, wherein the at least one measurement transducer has at least one signal processor for evaluating the at least first signal as a first characteristic value and for evaluating the at least second signal as a second characteristic value and wherein the at least one first characteristic value and the at least one second characteristic value form a characteristic value tuple, further having a storage unit, in which different diagnostic states describing the state of the industrial machine are saved, wherein the diagnostic states are determined as a function of the characteristic value tuple, and a predefined scalar range is saved with predetermined different fixed scalar values, which define respectively an existing limit potential, wherein a respective limit potential characterizes a change in the diagnostic state, and wherein between adjacent limit potentials a diagnostic partition is formed and wherein different scalar values from the scalar range are assigned to the different diagnostic partitions and wherein different respective diagnostic partitions represent different diagnostic states of the industrial machine, and wherein the monitoring device has at least one interpolation function for mapping the characteristic value tuple on a common, unique, time-dependent scalar value in the predefined scalar range, so that by way of the time-dependent scalar value a time monitoring of the diagnostic state of the industrial machine is achieved.

A microphone-speaker device includes a speaker, a microphone configured to capture sound and output an audio data signal and a housing configured to contain the microphone and the speaker. The device also includes an electronic circuit having audio electronics coupled to the speaker, an Ethernet interface configured to connect the electronic circuit for communication with a security system through an Ethernet connection, a power extractor for extracting power from the Ethernet connection for powering the electronic circuit and the microphone, and processing electronics configured to process the audio data signal from the microphone.

The invention describes a method for monitoring vibrations produced by an operating area, comprising the following steps: (El): dividing an operating frequency range into a plurality of frequency sub-ranges; (E2): for each frequency sub-range, defining an associated vibration threshold; (E3): continuously acquiring vibration measurements produced by the operating area; (E4): periodically transmitting vibration data resulting from the vibration measurements, the vibration data being transmitted to a remote server (200) via an LPWAN network; (E5) detecting a vibration event corresponding to at least one vibration threshold being exceeded in the associated frequency sub-range; (E6): when a vibration event is detected, transmitting a warning to the remote server (200) via the LPWAN network.

A system and method may detect one or more shooting sounds and provide guidance to one or more evacuating people when an active shooting event has occurred indoors, thereby minimizing a secondary damage. The system comprises: a plurality of stations configured to detect one or more shooting sounds and transmit detection of the one or more shooting sounds; and a response server configured to receive the detection of one or more shooting sounds over a communication network, to generate action commands, respectively corresponding to each of the stations, based on the detection of the one or more shooting sounds, and to transmit the respective action commands to the each of the corresponding stations over the communication network.

A system and method may detect one or more shooting sounds and provide guidance to one or more evacuating people when an active shooting event has occurred indoors, thereby minimizing a secondary damage. The system comprises: a plurality of stations configured to detect one or more shooting sounds and transmit detection of the one or more shooting sounds; and a response server configured to receive the detection of one or more shooting sounds over a communication network, to generate action commands, respectively corresponding to each of the stations, based on the detection of the one or more shooting sounds, and to transmit the respective action commands to the each of the corresponding stations over the communication network.

The Emergency Automatic Gunshot Lockdown (EAGL) System detects gunshots and executes at least one predetermined adaptive response action, such as notifying law enforcement of an active shooter, providing access control measures such as locking down soft target areas, and alerting building occupants of an active shooter situation. A gunshot is detected and verified using a triple validation system. Once a firearm is discharged, the EAGL system sends “real time” data to building officials, law enforcement, and building occupants notifying them of an active shooter situation. Simultaneously, predetermined commands are sent to access control devices for perimeter, office, classroom, and other soft target areas to lockdown and stay secure, to keep the shooter from entering these soft target areas, and to prevent shooter from entering other buildings.

The Emergency Automatic Gunshot Lockdown (EAGL) System detects gunshots and executes at least one predetermined adaptive response action, such as notifying law enforcement of an active shooter, providing access control measures such as locking down soft target areas, and alerting building occupants of an active shooter situation. A gunshot is detected and verified using a triple validation system. Once a firearm is discharged, the EAGL system sends “real time” data to building officials, law enforcement, and building occupants notifying them of an active shooter situation. Simultaneously, predetermined commands are sent to access control devices for perimeter, office, classroom, and other soft target areas to lockdown and stay secure, to keep the shooter from entering these soft target areas, and to prevent shooter from entering other buildings.

A system for monitoring and identifying states of a semiconductor device, the system including at least one acoustic sensor for sensing acoustic emission emitted by at least one semiconductor device operating at a voltage of less than or equal to 220 V, the at least one acoustic sensor outputting at least one acoustic emission signal and a signal processing unit for receiving the at least one acoustic emission signal from the at least one acoustic sensor and for analyzing the at least one acoustic emission signal, the signal processing unit providing an output based on the analyzing, the output being indicative at least of whether the at least one semiconductor device is in an abnormal operating state with respect to a normal operating state of the semiconductor device.

A method and associated system for estimating a quantity representative of the sound energy at at least one point of a three-dimensional space where a plurality of antennas are situated, each including at least K acoustic sensors, K being higher than or equal to 2, includes for each antenna of the plurality of antennas, production of a plurality of signals representative of the sound field at the antenna in question, for each antenna of the plurality of antennas, determination of a raw value of the quantity at the point based on at least K+1 elements of a matrix that are based respectively on pairwise combinations of representative signals produced by the antenna in question, and determination of an estimated value of the quantity at the point by combining the raw values of the quantity at the point determined respectively for the various antennas of the plurality of antennas.