Infrared thermal imaging thermometer

Definition

Infrared thermal imaging thermometer is an instrument based on the principle of infrared radiation that detects the temperature distribution of the surface of an object through non-contact and converts it into a visual thermal image. It can quickly obtain large-area temperature field data, and is widely used in industrial testing, building diagnosis, security monitoring, scientific research experiments and other fields, providing an intuitive basis for temperature-related analysis.

Principle

The working principle of an infrared thermal imaging thermometer is based on the law of blackbody radiation. Any object above absolute zero radiates infrared energy, and its radiation intensity is a function of the surface temperature of the object. The instrument receives the infrared radiation emitted by the target through the optical system and focuses it on an infrared detector, which converts the radiation signal into an electrical signal, and finally generates a thermal image reflecting the temperature distribution after data processing and temperature calibration. Among them, Planck's law of blackbody radiation describes the relationship between radiation spectra and temperature, and its formula can be expressed as:

Mλ = (2πhc25) · 1/(ehc/λkT - 1)

In the formula Mλis the spectral radiation, h is Planck's constant, c is the speed of light, λ is the wavelength, k is the Boltzmann constant, and T is the absolute temperature.

Measurement method

Infrared thermal imaging temperature measurement usually uses a non-contact measurement method. During operation, the emissivity parameters should be set according to the material characteristics of the measured object to reduce the measurement error. The measurement process includes: scanning the target area and collecting infrared radiation data; Conversion of radiation data into temperature values through built-in algorithms; Combined with visible light images, fusion analysis is performed to form a heat map of temperature distribution. When measuring, it is necessary to ensure that the field of view of the instrument covers the target area, and consider the influence of ambient temperature, humidity and atmospheric transmittance, and compensate for background temperature if necessary.

Influencing factors

The accuracy of infrared thermal imaging temperature measurement is influenced by various factors. The emissivity of the surface of the object is the main factor, and the emissivity of different materials varies greatly, which needs to be corrected according to the material. Environmental factors such as air temperature, humidity, dust, and the measurement distance may attenuate infrared radiation and interfere with the measurement results. The instrument's own performance, including detector sensitivity, thermal resolution, spatial resolution, and calibration accuracy, can also affect data reliability. In addition, the reflected radiation of the target surface, the environmental background radiation, and the measurement angle need to be taken into account in the operation.

Applications

In the industrial field, infrared thermal imaging thermometers are used for overheating detection of electrical equipment, early warning of mechanical failures, and temperature monitoring of production processes. In construction, it can be used to identify insulation defects, leak points, and evaluate HVAC system efficiency. In security monitoring, it can be used for night monitoring and fire warning. In terms of scientific research experiments, it supports the study of thermal properties of materials, thermal analysis of electronic components, and energy system evaluation. It can also be used in agriculture for crop health monitoring. These applications are based on their fast, non-contact, and large-area temperature measurement characteristics.

Selection considerations

Measurement needs and environmental conditions should be considered when selecting. Thermal resolution determines the ability to identify subtle differences in temperature, and spatial resolution affects the clarity of image details. The temperature measurement range should cover the possible temperature range of the target object. Detector types such as uncooled and cooled types have their own applicable scenarios under different response speed and accuracy requirements. In addition, the adjustable range of emissivity, data interface, software analysis function, and environmental adaptability such as protection level are also key points in selection. Balance performance and cost based on specific application scenarios, and choose instruments that meet the requirements of relevant standards.