Abstract
With the development and progress of society, people have higher and higher requirements for the intelligence of the drying rack system. Therefore, it is essential practical significance to improve the level of intelligence of the drying rack system in people’s daily life. Traditional drying rack systems are mainly divided into four types: outdoor, floor-standing, hand-operated, and electric. However, they all have the disadvantages of consuming human resources, time, and space. In this paper, we design a novel intelligent drying rack system based on STM32, consisting of many sensors, a horizontal rotation mechanism, and a lifting mechanism. This intelligent drying rack system first uses raindrop sensors, photoresistors, and wind speed sensors to collect external environmental information. Then, the system monitors the surrounding environment changes in real-time. When the environment changes, the system will drive the motor to realize collecting and drying clothes. Finally, we can realize all intelligent control functions through voice module, button module, and infrared remote control. In addition, we also develop an APP that displays the system’s control interface and can realize all intelligent control functions. Through debug-running and system testing, the simulation results demonstrate the accuracy and efficacy of the designed drying rack system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Danzi, P., et al.: Communication aspects of the integration of wireless IoT devices with distributed ledger technology. IEEE Network 34, 47–53 (2020)
Wang, W., He, S., Sun, L., Jiang, T., Zhang, Q.: Cross-technology communications for heterogeneous IoT devices through artificial doppler shifts. IEEE Trans. Wireless Commun. 18, 796–806 (2019)
Liang, W., Ning, Z., Xie, S., Hu, Yu., Lu, S., Zhang, D.: Secure fusion approach for the internet of things in smart autonomous multi-robot systems. In: Information Science, pp. 1–20 (2021)
Liang, W., Xiao, L., Zhang, K., Tang, M., He, D., Li, K. C.: Data fusion approach for collaborative anomaly intrusion detection in blockchain-based systems. IEEE Internet Things J., 1 (2021)
Yang, X., Xiong, W., Song, S., Yang, J., Wang, K., Cheng, M.: Design and analysis for multi-functional drying machine with umbrella frame. In: Information Management and Computer Science, pp. 482–486 (2020)
Su, Y., Zhang, M., Mujumdar, A.: Recent developments in smart drying technology. In: Drying Technology, vol. 33, pp. 260–276 (2015)
Lv, W., Zhang, M., Wang, Y., Adhikari, B.: Online measurement of moisture content, moisture distribution, and state of water in corn kernels during microwave vacuum drying using novel smart NMR/MRI detection system. In: Drying Technology, vol. 36, pp. 1592–1602 (2019)
Menshutina, N., Goncharova-Alves, S., Matasov, A.: Intelligent systems for the design of drying processes. In: Drying Technology, vol. 38, pp. 147–157 (2020)
Liang, Y., Lin, S., Huang, J., Li, A.: Design and development of outdoor intelligent waterproof clothes-drying device. In: Technological Development of Enterprise (2013)
Zhu, B.: An intelligent electric clothes drying device. In: Forum of Association for Science and Technology, no. 10, pp. 71–72 (2010)
Tang, J., Feng, H., Ding, J., Zhou, H., Xuan, H.: Research and implementation of indoor environment monitorable control system based on internet of things technology. In: Technological Innovation and Application, no. 33, pp. 14–16 (2019)
Lin, Y., Lee, Y., Chang, C.: Establishing an intelligent laundry drying rack using system innovation theory. In: IOP Conference Series: Earth and Environmental Science, vol. 603, no. 1, pp. 12–47 (2020)
Xing, X., Zhang, C., Gu, J., Zhang, Y., Lv, X., Zhuo, Z.: Intelligent drying rack system based on internet of things. J. Phys. Conf. Ser. 1887(1) (2021)
Zhang, Y., Miao, F., Xing, S., Wang, Z., Xiong, X.: Home intelligent integrated wardrobe. J. Phys. Conf. Ser. 1748(6) (2021)
Deng, T., Wang, Z.: Multifunctional intelligent clothes drying rack system. In: Electronic Technology and Software Engineering, no. 16, pp. 105–106 (2018)
Wu, K., Xu, Q., Liu, H., Yuan, J., Tong, X.: Research and design of a new intelligent drying device. In: China’s Collective Economy, no. 12, pp. 165–166 (2021)
Li, J., Li, B., Chen, J.: Intelligent quick clothes drying device. In: Technology and Innovation, no. 9, pp. 82–86 (2019)
Zhang, B., Ma, Y., Qiu, X., Hao, S.: Design and implementation of intelligent clothes hanger control system. Microprocessor 41(3), 48–50 (2020)
Wu, Z., Lin, Q., Xie, X., Yu, K., Wang, Q., Lin, J.: Movable smart outdoor drying rack design. In: Technological Innovation and Application, no. 6, pp. 34–37 (2021)
Chen, Y., Hong, L., Hu, B.: Design of intelligent rainproof telescopic drying rack based on STC89C52 single-chip microcomputer. In: Electromechanical Engineering Technology, vol. 49, no. 11, pp. 43–45 (2020)
Li, Y., Zhang, J., Mo, J.: Design of smart clothes rack based on Arduino single chip microcomputer. In: Science and Technology Innovation, no. 33, pp. 183–184 (2020)
Wang, L., Peng, D., Zhang, T.: Design of smart home system based on WiFi smart plug. In: Int. J. Smart Home 9, 173–182 (2015)
Liang, W., Zhang, D., Lei, X., Tang, M., Li, K., Zomaya, A.: Circuit copyright blockchain: blockchain-based homomorphic encryption for IP circuit protection. IEEE Trans. Emerging Topics Comput. 9(3), 1410–1420 (2021)
Liang, W., Long, J., Li, K., Xu, J., Ma, N., Lei, X.: A fast defogging image recognition algorithm based on bilateral hybrid filtering. ACM Trans. Multimedia Comput. Commun. Appl. 17(2), 1–16 (2021)
Bleikher, O., Kvesko, S.: Using of information systems for socio-economic management applications in mechanical engineering enterprises. In: Applied Mechanics and Materials, vol. 770, pp. 651–655 (2015)
Acknowledgment
This work is supported in part by the National Natural Science Foundation of China (No. 61702180), and the Hunan Province Science and Technology Project Funds (No. 2018TP1036).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, S., Hu, W., Liang, W., Liao, L. (2022). The Design and Realization of a Novel Intelligent Drying Rack System Based on STM32. In: Lai, Y., Wang, T., Jiang, M., Xu, G., Liang, W., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2021. Lecture Notes in Computer Science(), vol 13156. Springer, Cham. https://doi.org/10.1007/978-3-030-95388-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-95388-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-95387-4
Online ISBN: 978-3-030-95388-1
eBook Packages: Computer ScienceComputer Science (R0)