Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
Ansys는 학생들에게 시뮬레이션 엔지니어링 소프트웨어를 무료로 제공함으로써 오늘날의 학생들의 성장을 지속적으로 지원하고 있습니다.
ANSYS BLOG
January 12, 2023
Electro-optic infrared (EO/IR) systems are a type of sensor technology that uses a combination of optics and electronics to detect, track, and identify objects or targets in the infrared spectrum. EO/IR systems can be used for a variety of purposes, including target acquisition, tracking, and identification.
EO/IR systems operate in a variety of weather conditions and environments, including fog, rain, and smoke. This is because they rely on the detection of IR radiation, which is emitted by all objects with a temperature above absolute zero. IR radiation is invisible to the human eye but can be detected by specialized sensors called IR detectors. A main advantage of EO/IR systems is their ability to operate in low light or total darkness, making them ideal for use in a variety of situations where traditional optical sensors may not be effective. They are also highly accurate and can provide real-time data and images, making them a valuable tool for a wide range of applications.
EO/IR systems typically consist of three main components:
There are several challenges that must be considered when designing EO/IR systems:
These challenges must be carefully considered and addressed during the design process to ensure that the resulting system is reliable, effective, and cost effective.
The Ansys EO/IR Solution
To address these challenges, Ansys Lumerical, Ansys Zemax OpticStudio, Ansys Speos, Ansys AVxcelerate Sensors, and Ansys Systems Tool Kit (STK) provide a range of features and capabilities that enable designers to enhance the performance of EO/IR systems under different conditions and environments. These software tools provide accurate simulations and analysis of photonics and opto-electronic systems, satellite and aircraft systems, and optical systems, which enable designers to predict the performance of EO/IR systems in different environments and optimize their design for specific applications.