Diseño de un modelo matemático del comportamiento de la intensidad de campo eléctrico generado por las antenas celulares en la Escuela Superior Politécnica de Chimborazo.
The present work entitled "Design of a Mathematical Model of the Behavior of Electric Field Intensity Generated by Cellular Antennas at the Escuela Superior Politécnica de Chimborazo" addresses the analysis of the levels of electromagnetic radiation emitted by mobile phone antennas on the...
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| Tác giả chính: | |
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| Định dạng: | masterThesis |
| Ngôn ngữ: | spa |
| Được phát hành: |
2025
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://dspace.unach.edu.ec/handle/51000/14641 |
| Các nhãn: |
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| Tóm tắt: | The present work entitled "Design of a Mathematical Model of the Behavior of Electric Field Intensity Generated by Cellular Antennas at the Escuela Superior Politécnica de Chimborazo" addresses the analysis of the levels of electromagnetic radiation emitted by mobile phone antennas on the university campus. The research focuses on developing a mathematical model that allows predicting the intensity of the electric field based on the antennas' location and the environment's characteristics. The study's general objective is to design a predictive model that estimates the levels of exposure to electromagnetic radiation generated by cellular antennas at this university, thus providing a tool for risk assessment and management in the university community. A quantitative methodology was applied to this study, which included the measurement of the electric field intensity at different points of the campus using specialized equipment, such as the Narda SRM-3006 and the EME Spy 200, and the analysis of data using mathematical modeling techniques in the R software. The main results indicate that the radiation levels are below the limits established by the ICNIRP. However, they vary depending on the antennas' proximity and the nearby buildings' structural characteristics. In conclusion, the proposed model effectively responds to the stated objective, providing accurate predictions that can improve the planning of telecommunications infrastructures. |
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