Cloud-Based Remote Real-Time Monitoring and Control System for Spring Fatigue Testing Machine
Abstract
:1. Introduction
2. Related Works
3. System Architecture
4. Equipment Parts
4.1. Remote Facilities
4.1.1. High-Temperature Constant-Force Spring Fatigue Testing Machine
- The test machine bracket is made of standard aluminum profiles with a cross-section of 60 × 60 mm.
- The tubular furnace is a customized product based on the constant force spring fatigue test conditions, and it comes from Xingyuan Electric Power Appliance Factory, Baoying, China. It has a diameter of 650 mm, a length of 2700 mm, an inner cavity diameter of 350 mm, a length of 2500 mm, and comes with a temperature control cabinet. Its operating temperature is ≤500 °C, the temperature accuracy range is ±2 °C, and the total power is about 25 KW. The tubular heating furnace is installed vertically on the bracket. Due to the high-temperature environment in the heating furnace, the experimental temperature is 300 °C, and the motion module and the tension and pressure sensor are arranged outside the heating furnace to ensure that they can work normally. In order to ensure that the experiment is carried out in a constant temperature environment for the spring, small holes are left above and below the heating furnace. The spring clamp fixes the spring inside the heating furnace through the small holes at the bottom to ensure that the environmental temperature of the spring is constant during the experiment.
- The motion module comes from Yancheng Gaobo Transmission Technology Co., Ltd., Dongtai, China. The model is GX150 and the motion stroke is 1800 mm. The motion module is fixed on the back side of the heating furnace, and a steel cable is used to pull a constant-force spring through a small hole above the heating furnace for periodic loading, with a movement speed of 0.2 m/s.
- The tension and pressure sensor is from Changzhou Allison Technology Co., Ltd., Changzhou, China. The model is AR-DN31, with a range of 100 N and 500 N. Its accuracy is 0.1%. The tension and pressure sensor is fixed between the bracket and the spring clamp just below the bottom of the heating furnace to detect the tension data of the constant-force spring during the experiment.
- The self-designed spring fixture can realize one, two, or three pairs of spring installation forms. The tension of a single spring is 60 N, and the tension of a pair of springs ranges from 120 N to 360 N.
- Siemens PLC (Siemens, Munich, Germany) centrally connects the heating furnace control cabinet, motion module, and tension and pressure sensor to the control cabinet for data collection and control.
4.1.2. Spring Fatigue Testing Machine Control System
4.1.3. Host Computer Software
4.2. Cloud Services
4.2.1. MySQL System Database
4.2.2. WebSocket Communication Server
4.2.3. Video Surveillance Services
4.2.4. asp.net Website Server
5. Experimental Results
5.1. System Function Verification
5.2. Network Communication Test
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Regional Node | City | IP Address | Delay |
---|---|---|---|
North China 2 | Beijing | 59.110.190.69 | 7 ms |
East China 2 | Shanghai | 106.14.228.194 | 29 ms |
China Hong Kong | Hong Kong (China) | 120.77.166.226 | 49 ms |
South China 1 | Shenzhen | 47.75.18.13 | 49 ms |
Asia Pacific Northeast 1 | Tokyo | 47.91.8.42 | 75 ms |
Middle East 1 | Dubai | 47.91.99.127 | 354 ms |
Southeast Asia 1 | Singapore | 47.74.196.40 | 83 ms |
Britain | London | 8.208.40.20 | 172 ms |
Western America 1 | Silicon Valley | 47.88.73.1 | 204 ms |
Client Computer | Cloud Server | Host Computer | |
---|---|---|---|
Operating system | Windows 11 x64 | Windows Server 2022 x64 | Windows 11 x64 |
Processor | AMD Ryzen 7 5700X 8-Core 3.4 GHz | Intel Xeon Platinum 2-core 2.5 GHz | Intel i5-8265U 4-core 1.6 GHz |
Memory | 16 G | 4 G | 8 G |
Bandwidth | 1000 Mbps | 100 Mbps | 1000 Mbps |
Time | t1/ms | t2/ms | t2/ms |
---|---|---|---|
0:00 | 10 | 11 | 280 |
5:00 | 10 | 10 | 265 |
10:00 | 11 | 11 | 287 |
13:00 | 11 | 12 | 306 |
17:00 | 12 | 13 | 312 |
21:00 | 11 | 11 | 296 |
average | 10.8 | 11.3 | 291.0 |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Wang, G.; Xu, T.; Wang, D.; Cheng, P.; Shao, C.; Feng, F.; Zhou, P. Cloud-Based Remote Real-Time Monitoring and Control System for Spring Fatigue Testing Machine. Machines 2024, 12, 462. https://doi.org/10.3390/machines12070462
Wang G, Xu T, Wang D, Cheng P, Shao C, Feng F, Zhou P. Cloud-Based Remote Real-Time Monitoring and Control System for Spring Fatigue Testing Machine. Machines. 2024; 12(7):462. https://doi.org/10.3390/machines12070462
Chicago/Turabian StyleWang, Guoshuai, Tonghui Xu, Decheng Wang, Peng Cheng, Chenxi Shao, Feng Feng, and Peng Zhou. 2024. "Cloud-Based Remote Real-Time Monitoring and Control System for Spring Fatigue Testing Machine" Machines 12, no. 7: 462. https://doi.org/10.3390/machines12070462
APA StyleWang, G., Xu, T., Wang, D., Cheng, P., Shao, C., Feng, F., & Zhou, P. (2024). Cloud-Based Remote Real-Time Monitoring and Control System for Spring Fatigue Testing Machine. Machines, 12(7), 462. https://doi.org/10.3390/machines12070462