Common optical path installation and adjustment method and system for stationary orbit microwave-infrared composite detection system
By establishing an assembly and adjustment benchmark using lidar and laser tracker, and combining it with a multi-stage assembly and adjustment strategy, the high-precision assembly and adjustment problem of the geostationary orbit microwave-infrared composite detection system was solved, enabling rapid and accurate adjustment of the infrared detection system and improving the system's imaging quality and assembly and adjustment efficiency.
Patent Information
- Application Number
- CN202610471795.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve high-precision and rapid assembly and adjustment of geostationary orbit microwave-infrared composite detection systems, especially in controlling the relative pose deviations of each component of the infrared detection system and in measuring and transmitting the assembly and adjustment references for the entire system. Traditional optical system assembly and adjustment methods cannot meet the assembly and adjustment requirements of this composite detection system.
A lidar and laser tracker are used to establish an assembly and adjustment benchmark. Combined with a four-axis turntable, collimator, infrared blackbody and PI hexapod platform, a multi-stage assembly and adjustment strategy is adopted to achieve precise positioning and rapid adjustment of the infrared detection system. This includes establishing a global coordinate system for assembly and adjustment, benchmark transfer, calculation of component position and orientation, and iterative feedback optimization assembly and adjustment.
It improves the accuracy and efficiency of assembly and adjustment, reduces the difficulty and cost of assembly and adjustment, ensures the imaging quality of the system, and overcomes the problems of strong subjectivity and low efficiency in traditional methods.
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Abstract
Citation Information
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