**3. Materials and methods/methodology**

### **3.1 Methodology**

To carry out the project, the methodology was divided into the following phases: Phase I. Requirements analysis: The location of the electrical system in different areas of the campus environment was considered to measure the intensity levels of the wireless local area network (WLAN) systems.

Phase II. Logical design of the solution: Once the measurements of the WLAN systems were carried out, the optimal solution was sought for the acquisition and collection of data from the university campus cabinets.

Phase III. Development of the solution model: The data obtained were recorded in a storage infrastructure (database) on a server locally using the local area network or the IEEE 802.11 network. In addition, Big Data was used to process large amounts of data.

Phase IV. Test and optimization of the resulting model: Real-time data reading and storage tests were developed. In addition, connection tests were carried out between the database and the interface, and results were taken, which were used to optimize the final model.

Phase V. Implementation and testing of the resulting system: The implementation of the system was carried out in the different intelligent sensors that are in the electrical power supply areas of the campus air conditioners. In relation to the above, it was intended to take simultaneous samples to determine and guarantee the operation of the system.

Phase VI. Observation and interpretation of system variables: Observation and interpretation actions were carried out in the visualization interface from the tests of the system implemented in the digital power meters, and final samples were taken.

The system is generally arranged to continuously develop and test the telemetry processes, during certain periods, in the development environment determined for your application; generally, this is defined in a development life cycle of the test process, which can be composed of a set of stages that are predisposed, in which the limits must be appropriate for the correct collection of results [14, 15]. In the current situation, the research and implementation work process focuses on the phases and the development of a telemetry system through the acquisition and analysis of energy parameters based on IoT and Big Data concepts, providing it with a method according to the management of devices that become part of a converged system. For this reason, in addition to the corresponding analysis, it is also recommended to have a test bench for experimental practice.

#### **3.2 Materials and procedures for development**

The design of the sensor network of a telemetry system based on the concept of IoT and Big Data for the acquisition of energy parameters is built by hardware and software elements; these elements are presented in the following.
