A system for monitoring brick in a rotary kiln includes an infrared sensor and a computing system configured to: obtain a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick; obtain infrared data of the rotary kiln with the at least one infrared imaging sensor; determine the measured infrared temperature for each brick; determine a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and provide the brick thickness of the first brick in a brick thickness report.

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

A system and method includes an infrared camera; a processing unit; and an output unit. The infrared camera is configured to acquire a plurality of infrared images of the device, wherein the plurality of infrared images comprises a first infrared image and a second infrared image acquired a time period after the first infrared image. The processing unit is configured to determine a pixel in the first infrared image with a hottest temperature and determine a pixel in the second infrared image with a hottest temperature. The processing unit is configured to determine a first number of pixels in the first infrared image that have a temperature within a threshold temperature of the hottest temperature of the first infrared image and determine a second number of pixels in the second infrared image that have a temperature within the threshold temperature of the hottest temperature of the second infrared image.

The present invention relates to a light guiding arrangement (1) for transmitting electromagnetic radiation, in particular ultraviolet and/or infrared radiation, and a spark and/or flame detector that uses same. The light guiding arrangement (1) comprises a housing (10) and a light guiding rod (20), wherein the housing (10) has a light entrance opening (12) and a light exit opening (14) situated opposite, wherein the light guiding rod (20) is arranged in the housing (10) between the light entrance opening (12) and the light exit opening (14), wherein the light guiding rod (20) is mounted resiliently on at least one side in the housing (10).

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

The present subject matter provides various technical solutions to technical problems facing automated solutions in building energy audit applications. These solutions leverage heat loss quantification to improve a building's thermal performance and improve or optimize its energy usage. The technical solutions described herein provide various advantages. These solutions include application of deep-learning methods to segment large thermal imagery data sets from a drone. The technical solutions described herein provide improved building thermal efficiency determination using multiple stages of computations to quantify the heat loss for a building envelope.

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

An apparatus for monitoring a switchgear includes: an input unit; a processing unit; and an output unit. The input unit is provides the processing unit with a monitor infra-red image of the switchgear. The processing unit implements a machine learning classifier algorithm to analyse the monitor infra-red image and determine if there is one or more anomalous hot spots in the switchgear. The machine learning classifier algorithm has been trained based on a plurality of different training infra-red images. The plurality of training infra-red images include a plurality of modified infra-red images generated from a corresponding plurality of infra-red images, each of the modified infra-red images having been modified to remove an effect of obscuration in the image. The output unit outputs information relating to the one or more anomalous hot spots.

A system and a method capable of identifying a heat source position corresponding to a failure portion are provided. An analysis system according to the present invention is an analysis system that identifies a heat source position inside a semiconductor device, and includes a tester that applies an AC signal to the semiconductor device, an infrared camera that detects light from the semiconductor device according to the AC signal and outputs a detection signal, and a data analysis unit that identifies the heat source position based on the detection signal.

A method and system of verifying asphalt mat temperature values and location data generated by a paving machine includes identifying a location and temperature value of a threshold thermal characteristic of thermal data generated by the paving machine, and displaying the paver-generated location and temperature value of the threshold thermal characteristic on a display of the paving machine. The method further includes determining a location and temperature value of the threshold thermal characteristic by one or more external systems, and comparing the externally-determined location and temperature value to the paver-generated location and temperature value.