The present invention relates to a fire pre-detection device and, particularly, to a fire pre-detection device for pre-detecting a fire on the basis of the difference between a temperature of a thermal image acquired by a thermal imaging camera and a temperature of a differential thermal image, and finally detecting the fire by using a flame detector. The fire pre-detection device according to the present invention can pre-detect a fire sign or a fire through a thermal image and finally detect the fire through the flame detector, so as to pre-detect a fire and more clearly detect the occurrence of a fire.

A method of detecting a flame in an image comprising the step of acquiring a series of infrared images from an infrared imager. Image flow vectors are calculated for each of the series of infrared images and stored in a corresponding 2D vector array. At least one 3D image flow data set is generated from the corresponding 2D vector arrays. A 2D pixel intensity array is generated for each of the series of infrared images. A 3D pixel intensity data set is generated from the 2D pixel intensity arrays. A Fourier Transform and infrared metrics are calculated. The infrared metrics are compared to an infrared threshold criteria. A corresponding 2D threshold array for each of the series of infrared images is generated. A 3D threshold data set is generated from the 2D threshold arrays. A flame status is determined based on the 3D threshold data set.

A fire monitoring system and a container-type data center system. The fire monitoring system includes a filtering apparatus, a detection apparatus, and a control apparatus. The filtering apparatus includes a first stage filter and a second stage filter.

A fire monitoring system and a container-type data center system. The fire monitoring system includes a filtering apparatus, a detection apparatus, and a control apparatus. The filtering apparatus includes a first stage filter and a second stage filter.

A flame detector including an ultraviolet emitter configured to emit ultraviolet light at a strike voltage less than or equal to approximately 230 volts. A method of manufacturing an ultraviolet emitter for use in a flame detector, the ultraviolet emitter including a hermetically sealed, alkali rich, ultraviolet transmissive glass envelope, the method including: (a) wrapping an envelope exterior surface with a conductive material; (b) performing a first injection of at least one non-radioactive gas into the glass envelope at a first pressure; (c) applying a voltage bias to the glass envelope; (d) baking the hermetically sealed, alkali rich, ultraviolet transmissive glass envelope at a baking temperature for a baking duration of time; (e) cooling the hermetically sealed, alkali rich, ultraviolet transmissive glass envelope to a desired temperature; and (f) performing a second injection of at least one non-radioactive gas into the glass envelope at a second pressure.

A flame detector configured for radiant energy monitoring, quantification, and information transmission. The system has at least one optical sensor channel, each including an optical sensor configured to receive optical energy from a surveilled scene within a field of view, the channel producing a signal providing a quantitative indication of the optical radiation energy received by the optical sensor within a sensor spectral bandwidth. A processor is responsive to the signal from the at least one optical sensor channel to provide a flame present indication of the presence of a flame, and a quantitative indication representing a magnitude of the optical radiation energy from the surveilled scene. An Artificial Neural Network may be used to provide an output corresponding to a flame condition.

A flame detector configured for radiant energy monitoring, quantification, and information transmission. The system has at least one optical sensor channel, each including an optical sensor configured to receive optical energy from a surveilled scene within a field of view, the channel producing a signal providing a quantitative indication of the optical radiation energy received by the optical sensor within a sensor spectral bandwidth. A processor is responsive to the signal from the at least one optical sensor channel to provide a flame present indication of the presence of a flame, and a quantitative indication representing a magnitude of the optical radiation energy from the surveilled scene. An Artificial Neural Network may be used to provide an output corresponding to a flame condition.

An ultraviolet flame detector (100) includes a housing (102) having an opening (103) at a first end (101a) of the housing (102), and a window structure (104) arranged to cover the opening (103) of the housing (102). A photocathode (106) is arranged to a second end (101b) of the housing (102) so that the photocathode (106) is facing inside the housing (102). An anode wire (108) is arranged between the window structure (104) and the photocathode (106). The anode wire (108) is configured to travel transversally across the housing (102). The ultraviolet flame detector (102) is filled with a gas.

Analog signal measurement and related apparatus, systems, and methods are disclosed. Such an apparatus may include a signal analyzing circuitry to enable responsive to the assertion of the first enable signal, compare the amplified analog input signal to one or more threshold values responsive to the assertion of the second enable signal, and generate an alert signal responsive to a determination that the amplified analog input signal falls outside of the one or more threshold values.

Analog signal measurement and related apparatus, systems, and methods are disclosed. Such an apparatus may include a signal analyzing circuitry to enable responsive to the assertion of the first enable signal, compare the amplified analog input signal to one or more threshold values responsive to the assertion of the second enable signal, and generate an alert signal responsive to a determination that the amplified analog input signal falls outside of the one or more threshold values.