The present invention discloses a method for measuring an actual temperature of a flame by using all information of a radiation spectrum and a measurement system thereof. The method includes: conducting more theoretical data processing by using energy level structure correction, wherein all information of the radiation spectrum can be used; and by way of a keyboard input manner or a data transmission input manner, acquiring an energy level structure correction parameter, and finally acquiring a more accurate actual temperature value of a measured flame. The method effectively overcomes a defect that the true temperature of the flame can be obtained by only conducting radiance correction through data processing with great calculations when adpted multi-spectral temperature measurement method. In the existing multi-spectral temperature measurement method at present, only information of several monochromatic radiation capacities in the radiation spectrum can be used; and in the method, information of all the monochromatic radiation capacities, thousands of monochromatic radiation capacities in general, in the radiation spectrum can be used.

The invention relates to a medium voltage switchgear or control gear monitoring system (10), comprising: an infrared camera (20); and a processing unit (30); wherein the infrared camera is configured to be mounted within a medium voltage switchgear or control gear (40); wherein the infrared camera is configured to acquire an infrared image, wherein the infrared image comprises image data of two or three current carrying parts of the switchgear or control gear (50), and wherein the two or three current carrying parts are the same current carry part of two or three equivalent systems within the switchgear or control gear; wherein the infrared camera is configured to provide the infrared image to the processing unit; wherein the processing unit is configured to determine that the two or three current carrying parts are operating correctly or that one of the two or three current carrying parts has a fault, wherein the determination comprises analysis of the infrared image by an autoencoder implemented by the processing unit.

A system and method for monitoring a switchgear includes an infrared camera, a processing unit, and an output unit. The infrared camera acquires an infrared image of the switchgear, and the processing unit converts it into a binary image. Pixels in the infrared image having a temperature equal to or above a first threshold value are given the same first value. Pixels in the infrared image having a temperature below the first threshold value are given the same second value. The processing unit is configured to implement a Siamese neural network to determine if a hot spot exists in the infrared image.

An alert system for a transformer includes a thermographic camera configured to capture thermal images of the transformer, a current sensor configured to generate a sensor signal indicating the current magnitude of a current outputted from the transformer, a storage configured to store a machine learning model, an alert device, and a processing unit configured to obtain image temperature values from the thermal images, obtain magnitude values from the sensor signal, obtain normal temperature values by using the machine learning model and the magnitude values, and instruct the alert device to deliver an alerting signal based on a result of comparison between the image temperature values and the normal temperature values.

A traction battery for an electrically or semi-electrically driven vehicle. The traction battery includes at least one temperature sensor. The temperature sensor is configured as an infrared sensor and includes a sensor array having several sensor elements for spatially resolved detection of the temperature of a surface of one or more components of the traction battery. A deflection optic is arranged between the respective surface and the sensor array, via which optic the temperature sensor detects the respective surface.

A transformer fault diagnosis and positioning system based on a digital twin is provided and includes the following. A communication sensing module, which is configured to transmit bottom-level monitoring data obtained from a device entity to a system support module. The system support module, which is configured to receive and preprocess bottom-level monitoring data, and store various data, models and expert systems. A dynamic twin module, which is configured to analyze a multi-dimensional probability status of a device fault, construct a dynamic degradation model of different health states, and realize model correction through human-computer interaction, real-time measurement, and dynamic update subsequently. A decision-making diagnosis module, which is configured to construct a digital twin of data to be diagnosed, to realize diagnosis and positioning of the health state. A user interface module to display a diagnosis result and related information through a UI interface, to provide further decision-making and human-computer interaction.

For generating a diagnosis, a method irradiates a product surface of a product with infrared light, the product surface including a stress sensitive pigment. The method detects an activation of the stress sensitive pigment as a color change at an infrared visible activation location. The method generates a diagnosis based on the activation.

A device, such as a link box, with health monitoring has a housing defining an interior space, at least one surge arrester positioned in the interior space, at least one contactless temperature sensor positioned to contactlessly measure a temperature of the at least one surge arrester and generate temperature data therefrom, and at least one controller connected to the at least one contactless temperature sensor and configured to receive the temperature data.

An instrumented electric power voltage arrester includes a temperature sensor, wireless transmitter, and a visual over-temperature indicator. A disk shaped module, a replacement varister block, or a dummy block containing the sensor/transmitter is placed between varister blocks inside the arrester housing. A strap-on module is attached to the outside of the arrester housing. The sensor/transmitter utilizes a harvesting power supply that draws electric power for the electronics from the power line protected by the arrester. An ambient temperature sensor may be utilized to enhance accuracy. The temperature sensor/transmitter typically sends arrester monitoring data wirelessly to an RTU or handheld unit located outside the arrester, which relays the monitoring data to an operations control center that scheduled replacement of the arrester based on the monitoring data. A surge counter keeps track of the number of equipment and lightning related temperature surges experienced by the arrester.

An eye tracking device includes a substrate comprising a first substrate portion and a second substrate portion intersecting with the first substrate portion, an infrared light emitting element on the first substrate portion, and an image acquisition element on the second substrate portion. The infrared light emitting element is configured to emit infrared light to a user's eyeball. The image acquisition element and the infrared light emitting element are non-coplanar. The image acquisition element is configured to receive and sense the infrared light reflected by the eyeball for imaging.