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International Journal of Engineering Technology and Construction, 2022, 3(4); doi: 10.38007/IJETC.2022.030401.

Remote Monitoring System of Civil Engineering Health Status Information Based on Network Communication Technology


Abdulla Hany

Corresponding Author:
Abdulla Hany

Commune d’Akanda, Gabon


In recent years, the continuous occurrence of civil engineering safety construction accidents not only caused huge casualties and serious economic losses, but also brought a bad social impact to the national lifeline project. This paper mainly studies the remote monitoring system of civil engineering health status information based on network communication technology. Based on the problems existing in the implementation of monitoring and measurement and the characteristics of the measurement tasks in civil engineering, this paper uses network communication technology to develop a remote monitoring system for the health status of civil engineering with independent intellectual property rights. Long-term and effective monitoring and measurement. Use the public network or private network to complete the wired or wireless data transmission and control, and provide the data processing function of the database. Relying on the non-parametric method to directly analyze the dynamic characteristics of the building structure, which is conducive to the timely update of the system. Experimental data shows that the saturation and frequency values collected by this remote health monitoring and warning system are accurate and usable: the normal saturation range is 96-100%; the appropriate frequency is 65-105 times per minute. The experimental results show that the remote monitoring system of civil engineering health status based on network communication technology realizes remote control measurement and automatic analysis and processing of the measured data. The popularization of this system in the current stage of civil engineering construction can promote the development of the project in the direction of increasing safety and stability. 


Network Communication Technology, Health Status Information, Remote Monitoring System, Civil Engineering, Non-Parametric Method

Cite This Paper

Abdulla Hany. Remote Monitoring System of Civil Engineering Health Status Information Based on Network Communication Technology. International Journal of Engineering Technology and Construction (2022), Vol. 3, Issue 4: 1-15. https://doi.org/10.38007/IJETC.2022.030401.


[1] Yuldashev Z M, Anisimov A A. A System for Remote-controlled Intelligent Monitoring of the Health Status in Humans. Biomedical Engineering, 2017, 51(1):61-65.

[2] Manirabona A, Fourati L C. A 4-tiers architecture for mobile WBAN based health remote monitoring system. Wireless Networks, 2018, 24(6):2179-2190. DOI:10.1007/s11276-017-1456-7

[3] Acheampong F, Vimarlund V. Innovating Healthcare through Remote Monitoring: Effects and Business Model. International journal of information system modeling and design, 2016, 7(1):49-66.

[4] Sathya D, Ganesh Kumar P. Secured remote health monitoring system. Healthcare Technology Letters, 2017, 4(6):228-232.

[5] Gross-Schulman S, Sklaroff L M, Hertz C C, et al. Safety Evaluation of an Automated Remote Monitoring System for Heart Failure in an Urban, Indigent Population. Population Health Management, 2017, 20(6):449-457. DOI:10.1089/pop.2016.0186

[6] SiWan Noh, Youngho Park, KyungHyune Rhee. An Enhanced Secure Health Data Transmission Protocol using Key Insulation in Remote Healthcare Monitoring System. Journal of Korea Multimedia Society, 2016, 19(12):1981-1991. DOI:10.3745/KTCCS.2017.6.4.197

[7] Hugo Rodrigues, Lars Abrahamczyk, André R. Barbosa, Haiyun Shi, Tiago Miguel Ferreira, "Natural Hazards Challenges to Civil Engineering", Advances in Civil Engineering, vol. 2019, Article ID 4365075, 2 pages, 2019.

[8] Gonzalo Martínez-Barrera, Osman Gencel, João M. L. Reis, "Civil Engineering Applications of Polymer Composites", International Journal of Polymer Science, vol. 2016, Article ID 3941504, 2 pages, 2016.

[9] Rekha K S, Sreenivas T H, Kulkarni A D. Remote Monitoring and Reconfiguration of Environment and Structural Health Using Wireless Sensor Networks. Materials Today Proceedings, 2018, 5(1):1169-1175. DOI:10.1016/j.matpr.2017.11.198

[10] Mukherjee R, Ghorai S K, Gupta B, et al. Development of a Wearable Remote Cardiac Health Monitoring with Alerting System. Instruments and Experimental Techniques, 2020, 63(2):273-283. DOI:10.1134/S002044122002013X

[11] Wang F, Wang J D. Telehealth and Sustainable Improvements to Quality of Life. Applied Research in Quality of Life, 2017, 12(1):173-184.

[12] Sinddhuja A K, Mounika M, Dass P. A heartbeat and temperature measuring system for remote health monitoring using gsm technology. International Journal of Pharmacy & Technology, 2016, 8(4):20847-20855.

[13] Kaur P, Kumar R, Kumar M. A healthcare monitoring system using random forest and internet of things (IoT). Multimedia Tools & Applications, 2019, 78(14):19905-19916. DOI:10.1007/s11042-019-7327-8

[14] Sang-Youl Lee, Guillermo Rus, Abdollah Shafieezadeh, "Waveform-Based Condition Assessments in Civil Engineering", Shock and Vibration, vol. 2016, Article ID 3789358, 1 page, 2016.

[15] Hongbin Zhao, "Application of Deep Learning in Civil Engineering Management", Computational Intelligence and Neuroscience, vol. 2022, Article ID 5372384, 6 pages, 2022.

[16] Eze S C, Chinedu-Eze V C. Strategic roles of actors in emerging information communication technology (EICT) adoption in SMEs Actor network theory analysis. Bottom Line, 2018, 31(2):114-136.

[17] Shengyong Chen, Fei Kang, Siamak Talatahari, Sunghwan Kim, Dogan Aydin, "Computational Intelligence in Civil and Hydraulic Engineering", Mathematical Problems in Engineering, vol. 2013, Article ID 935158, 2 pages, 2013. DOI:10.1155/2013/935158

[18] Slowik, A., Kwasnicka, H. Evolutionary algorithms and their applications to engineering problems. Neural Comput & Applic 32, 12363–12379 (2020).

[19] Zhurabok A N, Shumsky A E, Pavlov S V. Diagnosis of linear dynamic systems by the nonparametric method. Automation & Remote Control, 2017, 78(7):1173-1188. DOI:10.1134/S0005117919020024

[20] Ramu, N., Pandi, V., Lazarus, J. D., & Radhakrishnan, S. (2020). A Novel Trust Model for Secure Group Communication in Distributed Computing. Journal of Organizational and End User Computing (JOEUC), 32(3), 1-14. 

[21] Bertino, E., Jahanshahi, M.R., Singla, A. et al. Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap. Discov Internet Things 1, 3 (2021). DOI:10.21203/rs.3.rs-119076/v1

[22] Cvitić, I., Peraković, D., Periša, M., & Stojanović, M. D. (2021). Novel Classification of IoT Devices Based on Traffic Flow Features. Journal of Organizational and End User Computing (JOEUC), 33(6), 1-20. DOI:10.4018/JOEUC.20211101.oa12

[23] Natalija Lepkova, Rana Maya, Sonia Ahmed, Vaidotas Šarka, BIM Implementation Maturity Level and Proposed Approach for the Upgrade in Lithuania, International Journal of BIM and Engineering Science, Vol. 2, No. 1, (2019) : 22-38

[24] Cooley D, Thibaud E, Castillo F, et al. A nonparametric method for producing isolines of bivariate exceedance probabilities. Extremes, 2019, 22(3):373-390.

[25] Li C, Song Z, Wang X. Nonparametric Method for Modeling Clustering Phenomena in Emergency Calls Under Spatial-Temporal Self-Exciting Point Processes. IEEE Access, 2019, PP(99):1-1. DOI:10.1109/ACCESS.2019.2900340

[26] Zhirabok A N, Shumsky A E. Nonparametric Method for Diagnosis of Nonlinear Dynamic Systems. Automation & Remote Control, 2019, 80(2):217-233. DOI:10.1134/S0005117919020024

[27] Bashar Abd Alnoor, BIM Model for Railway Intermediate Station: Transportation Perspective, International Journal of BIM and Engineering Science, Vol. 4, No. 2, (2021) : 33-48

[28] Kaushanskiy V, Lapshin V. A nonparametric method for term structure fitting with automatic smoothing. Applied Economics, 2016, 48(58-60):5654-5666. DOI:10.2139/ssrn.2535244

[29] Raghad Safour, Sonia Ahmed, Bilal Zaarour, BIM Adoption around the World, International Journal of BIM and Engineering Science, Vol. 4, No. 2, (2021) : 31-44

[30] Rahman A K M F, Peng L, Manatunga A, et al. Nonparametric Regression Method for Broad Sense Agreement. Journal of Nonparametric Stats, 2017, 29(2):1-21.