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Academic Journal of Engineering and Technology Science, 2022, 5(1); doi: 10.25236/AJETS.2022.050112.

Photovoltaic Power Station Monitoring System Using GSM Wireless Communication Network


Xuedong Han

Corresponding Author:
Xuedong Han

China Energy Engineering Group JiangSu Power Design Institute CO.,LTD., Nanjing, China


With the popularity of mobile communication, GSM system has become the most mature mobile communication system, most of the world's mobile operators have adopted this system. With the opening and vigorous development of GPRS,GSM network has been smooth transition to 3G mobile communication system, and it is estimated that the vast majority of mobile operators choose GSM - GPRS - 4G development ideas. The purpose of this paper is to make full use of the existing network resources, improve the network quality, service level, and ensure the important work of communication quality, so as to make the operation and management of photovoltaic power station staff more convenient and intelligent. This paper analyzes in detail the practical problems that wireless network optimization can solve to improve network quality through specific cases. On the basis of the whole GSM network optimization exposition, according to the author's existing optimization experience, the paper finally discusses the wireless network optimization of dual-frequency network, GPRS and 4G, so as to highlight the importance of GSM wireless network optimization in the wireless network optimization of mobile communications. The experimental results show that the development and operation of this system has established an efficient GSM wireless performance monitoring center for local network, which not only avoids human errors and omissions in system monitoring, but also greatly improves the work efficiency of wireless network optimization. 90% of the solutions and Suggestions provided to mobile operators through practical work are adopted.


Wireless Communication Network, Photovoltaic Power Station, Monitoring System, GSM Theory

Cite This Paper

Xuedong Han. Photovoltaic Power Station Monitoring System Using GSM Wireless Communication Network. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 1: 63-73. https://doi.org/10.25236/AJETS.2022.050112.


[1] Fuqiang Yao, Hao Wu, Yong Chen. Cluster-Based Collaborative Spectrum Sensing for Energy Harvesting Cognitive Wireless Communication Network[J]. IEEE Access, 2017, PP(99):1-1.

[2] Cédric Gueguen, Mahdi Ezzaouia, Mohamad Yassin. Inter-cellular scheduler for 5G wireless networks[J]. Physical Communication, 2015, 18(7):113-124.

[3] Nguyen Xuan Tien, Jong Myung Rhee. Minimizing Re-Transmissions (MRT) for Broadcast Traffic in Ad Hoc Wireless Networks[J]. Ieice Transactions on Communications, 2016, E99-B(1):12.

[4] Mamta Agiwal, Abhishek Roy, Navrati Saxena. Next Generation 5G Wireless Networks: A Comprehensive Survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(3):1-1.

[5] Kaisa Zhang, Gang Chuai, Weidong Gao. A new method for traffic forecasting in urban wireless communication network[J]. EURASIP Journal on Wireless Communications and Networking, 2019, 2019(1):201-210.

[6] Syed Hashim Raza Bukhari, Mubashir Husain Rehmani, Sajid Siraj. A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks[J]. IEEE Communications Surveys & Tutorials, 2015, 18(2):1-1.

[7] Ing-Ray Chen, Baoshan Gu. A Comparative Cost Analysis of Degradable Location Management Algorithms in Wireless Networks[J]. Computer Journal, 2018, 45(3):304-319.

[8] Hongzhi Guo, Jiajia Liu. Collaborative Computation Offloading for Multi-Access Edge Computing over Fiber-Wireless Networks[J]. IEEE Transactions on Vehicular Technology, 2018, 67(5):774-780.

[9] Daojing He, Sammy Chan, Mohsen Guizani. Securing software defined wireless networks[J]. Communications Magazine IEEE, 2016, 54(1):20-25.

[10] Ayaz Ahmad, Mubashir Husain Rehmani, Hamidou Tembine. IEEE Access Special Section Editorial: Optimization for Emerging Wireless Networks: IoT, 5G, and Smart Grid Communication Networks[J]. IEEE Access, 2017, 5(14):2096-2100.

[11] Dongfeng Fang, Yi Qian, Rose Qingyang Hu. Security for 5G Mobile Wireless Networks[J]. IEEE Access, 2017, PP(99):1-1.

[12] Li, Qing, Sun, Yiqian, Yu, Yongjun. Short-term photovoltaic power forecasting for photovoltaic power station based on EWT-KMPMR[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(20):265-273.

[13] S Wang, X N Zhang, D D Gao. A fault diagnosis system for PV power station based on global partitioned gradually approximation method[J]. IOP Conference Series Earth and Environmental Science, 2016, 40(1):012030.

[14] Li, X. Li, S. Chen. Analysis on feasibility of damping HVDC-induced subsynchronous oscillation by photovoltaic grid-connection[J]. Electric Power Automation Equipment, 2015, 35(3):41-46.

[15] Jiang Lihui, Gai Jingyan, Wang Weibo. Ensemble Empirical Mode Decomposition Based Event Classification Method for the Fiber-Optic Intrusion Monitoring System[J]. Acta Optica Sinica, 2015, 35(10):1006002.

[16] Tomoyuki Konno, Ryosuke Itoh, Mikihiko Nakao. The Slow Control and Data Quality Monitoring System for the Belle II Experiment[J]. IEEE Transactions on Nuclear Science, 2015, 62(3):1-6.

[17] Hobson Nicholas M, Inzlicht Michael. The mere presence of an outgroup member disrupts the brain’s feedback-monitoring system[J]. Social Cognitive & Affective Neuroscience, 2016, 6(11):11.

[18] Stefano Bovina, Diego Michelotto. The evolution of monitoring system: the INFN-CNAF case study[J]. Journal of Physics Conference Series, 2017, 898(9):092029.

[19] D. Barberis, S.E. Cárdenas Zárate, A. Favareto. ATLAS Eventlndex monitoring system using the Kibana analytics and visualization platform[J]. Journal of Physics Conference, 2016, 762(1):012004.

[20] Woo Sung Jang, Byung Kook Jeon, Hyun Seung Son. Automatic test case generation for validating the dynamic behaviors of the complete solar power monitoring system[J]. Multimedia Tools & Applications, 2018, 15(4):1-37.

[21] Rajkumar Saini, Pradeep Kumar, Barjinder Kaur. Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare[J]. International Journal of Machine Learning and Cybernetics, 2018, 2(15).402-412

[22] Lucio Di Matteo, Saverio Romeo, Daniel Scott Kieffer. Rock fall analysis in an Alpine area by using a reliable integrated monitoring system: results from the Ingelsberg slope (Salzburg Land, Austria)[J]. Bulletin of Engineering Geology & the Environment, 2017, 76(2):413-420.

[23] Ce Zhang, Qing Fan. Institutional application and result analysis of the monitoring system for rational drug use in hospitals[J]. Pharmaceutical Care & Research, 2015, 15(1):14-17.

[24] Sonia R. Chandnani, C. D. Ramakrishna, Bhargav A. Dave. A Post-Marketing Surveillance Study to Evaluate Performance of the EXIMO™ Blood Glucose Monitoring System[J]. Journal of Clinical & Diagnostic Research, 2017, 11(5):29-32.

[25] Shun Zhang, Yuxi Lian, Yajie Qin. Design of the Mobile ECG Monitoring System Based on Android 4.3[J]. Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, 2015, 39(4):261-264.