Article Details

Abstract

This paper explores the application of modern information technology in the optimization of the environmental test process of avionics equipment. It constructs an integrated test system based on the Internet of Things, Big Data analysis, and Artificial Intelligence. It realizes the real-time collection of test parameters by deploying a distributed sensor network. Combined with Machine Learning algorithms, it establishes a parameter optimization model and decision-making mechanism, which significantly improves the test efficiency and reliability. Actual application data show that the temperature test cycle is shortened by 28%, the test error rate is reduced by 92.9%, and the equipment idle rate is decreased by 74.8%. The system provides an intelligent solution for the reliability verification of avionics equipment and has significant engineering application value.

Keywords

avionics equipment; environmental test; Internet of Things; Artificial Intelligence; process optimization

References

1. [1] Sun Muguang, Zhang Baoqiang Optimization Strategy of Aviation Logistics Information Technology Based on Big Data Analysis [J]. China Aviation Weekly, 2025 (20): 66-68
2. [2] Wang Lei, Zheng Shuyang, Chen Shaolin, etc Research on Reliability Evaluation Method of Multi source Information Fusion for Aviation Electronic Equipment [J]. Reliability and Environmental Testing of Electronic Products, 2024, 42 (4): 38-44
3. [3] Zhang Qingrui, Zhu Weixin, Zhang Zherui, etc Research on Component Structure Analysis Based on the Application Background of Aviation Electronic Equipment [J]. Aviation Standardization and Quality, 2024 (1): 30-34, 56
4. [4] Tang Xi, Li Wenhai, Liu Yong, etc Simulation and Implementation of Moving Target Radar Signal for Testing Aviation Electronic Warfare Equipment [J]. Ship Electronic Engineering, 2023, 43 (9): 62-66
5. [5] Mi Shiqiang, Zhou Xin Proposal and Verification of Quality Improvement Model for Integrated Aviation Electronic System Equipment [J]. Electronic Quality, 2022 (5): 130-132144
6. [6] Gao Canhui, Xiang Chunmei, Hu Meng The significance of secondary screening of installed electronic components in aviation equipment maintenance enterprises [J]. Dual use Technologies and Products for Military and Civilian Use, 2021 (12): 56-58
7. [7] Liu Xiaosong, Shi Yanyan, Yang Lin, etc Research on the Implementation Strategy of Quality Management System for Equipment Construction in the Development of Aircraft Engine Products in the New Era [J]. Aviation Power, 2025 (4): 66-69
8. [8] Chen Siyu Digital Development Plan, Design, and Implementation Strategy for Airline Logistics Supply Chain [J]. China Aviation Weekly, 2025 (28): 66-68
9. [9] Zhang Di, Wan Chengpeng, Ai Yunfei, etc Research and Prospect of Active Control Technology for Ship Navigation Safety [J]. China Navigation, 2025, 48 (2): 1-9
10. [10] Cow's paw The Development and Application of Electronic Information Technology in the Era of Industrial Intelligence [J]. China Industry and Economics, 2025 (11): 149-151
11. [11] Li Jinle, Li Chenchen Geometric information measurement method for high and steep slopes based on aerial photography technology [J]. Science and Technology Innovation, 2025 (14): 71-74

About the authors

Li Xiaohong (1973-), female, Han ethnicity, from Luoyang, Henan, technician, master's student, research interests include avionics equipment testing.