## 3 Results
### Acquisition System for Biome Research  
A network of acoustic and environmental sensors was implemented in the project to obtain data from; temperature, humidity, audio, movement and images of the trails that are powered by photovoltaic panels. The implementation is achieved through multidisciplinary groups of teachers and students in the areas of telecommunications, telematics, electronics and automation, biology and mechanics. The data acquired by the modules of the network are stored in the servers of the ESPOL and are available for the use of the community [20; 21; 22; 23]. First stage; It was planned to expand the capacity of the capture devices for the sending and transmission of data of parameters such as temperature, humidity, audio, movement, and images. The evaluation of data transmission capacity and operation time was made based on the supplied elements such as: cell phones, electronic cards among others. In this stage, the energy capacity was also expanded. At the beginning, the module had a turned-on time of three hours of continuous operation. After several experiments and testing situations, the on time reached twelve hours of continuous operation. This result was sufficient for our needs because the module will capture temperature and humidity each ten minutes, on the other hand, the audio will be recorded spending ten minutes in a time of three minutes. Regarding the images, they will be captured asynchronously each time the movement sensor detects an animal. Second stage; Enabling the cellular network of the devices or modules that capture data. In this part, besides enabling access to the cellular network, communication protocols were evaluated, electronic elements that were part of the devices were selected, data transmission was implemented and the transmission results were evaluated. We discovered that the cellular network was available for each station, but the fastest network was H+, and the slowest was Edge. To determine the network, a simple cellphone app was used, which show the power of the signal in decibels and the type of network. Other networks were assessed such as LoRa, Zigbee, Xbee, and Sigfox, the problem with these networks was that they added a level of difficulty because they are mesh networks, and additional hardware was needed, which might have increased the budget of the project, this stage was done in coordination with the autonomous photovoltaic installations. Continuing with the protection and color of the information acquisition modulo, the recommendations issued by the ESPOL group of biologists were taken, indicating that an affectation to the fauna and flora would damage the data collection, because no animal would approach the animals installed devices. The information acquisition modules were located in the autonomous photovoltaic installations, being the strategic sites for data collection within the study area. Matte colors were selected for the module; being gray for the box, camera and temperature/humidity sensor, black color for the microphone and the movement sensor has a matte white. After ten weeks of a testing period in real environmental conditions, the modules did not show any damage besides cleaning them the dust on it. Finally, a small circuit with an Arduino, a relay, and a photovoltaic sensor for the ignition of a 5 W spotlight have been added to the photovoltaic system for 3 h at night. Since the Arduino can only work with a maximum of 5 volts, a relay was used to turn on illumination directly connected directly to the source. The system will work with a photovoltaic sensor, which emits an analog signal, so when it is dark enough and the analog signal is less than the set limit, the Arduino will emit a digital signal to the relay allowing the current to pass from the source of energy to the spotlights. An initial consumption energy of 10 Wh was considered (Figure 4).