Development of an Inertial Measurement Unit (IMU) with datalogger and geopositioning for mapping the Earth's magnetic field.

The Earth's magnetic field is used in various navigation systems, but this field has a dynamic behavior that can be affected by different physical factors in local environments. These factors can pose risks to navigation systems and at the same time be a signal of a phenomenon that needs to be investigated, such as mineral concentration or the presence of interference from electrical equipment, among others. For that reason, in this project, this system was designed and integrated using a low-cost, military-grade magnet inductive magnetometer, which is integrated into two Inertial Measurement Units to corroborate the movement data, and at the same time a geopositioning system to georeference the sensor measurements. The information is managed by an MCU, which also stores data on an SD card. The system includes a lithium battery management system to provide more than an hour of autonomy. Wireless communication systems are intentionally avoided to prevent interference, and an infrared transmission LED is included instead, in case the real-time transmission is necessary. The results show that the proposed system allows for obtaining maps of magnetic field intensity in open spaces, and this information can be used to determine regions with anomalies.

Low-cost system for analysis pedestrian flow from an aerial view using Near-Infrared, Microwave, and Temperature sensors.

The use of IoT systems that support the construction of smart cities is a global trend that directly affects the quality of life of citizens. for vehicular and pedestrian traffic, the detection of living beings and especially of humans, is a way of quantifying different variables pertinent to the improvement of roads, traffic flows, frequency of visits, among others. the implementation of low-cost systems that do not involve high-processing systems makes the solutions more scalable at a global level. The data acquired by this type of device offers advantages to the different entities in statistics and public consultations, thus contributing to their growth. In this article, an assistance system for the task of pedestrian flow detection is designed and constructed. It integrates strategically located arrays of sensors to detect the direction and general location, which include microwave sensors to detect motion, and infrared presence sensors. The results demonstrate that the system manages to establish the direction of flow of the individual and laterally of the displacement and differentiation between humans and objects for assistance to other systems of counting or analysis of pedestrian flow.

Design of a low-cost mobile multispectral albedometer with geopositioning and absolute orientation.

Albedo is the percentage of radiation that a given surface reflects. Its study is important to evaluate thermal effects in buildings, generation capacity with bifacial panels, among others. In this work, the design and validation of a low-cost mobile albedometer is presented, which measures the reflection in 8 spectral bands in the visible, additionally the system is equipped with a Global Navigation Satellite System (GNSS) receiver, to reference its position and an Inertial Measurement Unit (IMU) to know its absolute orientation, make corrections in real time or detect errors. The purpose of designing the mobile device is to measure a larger area and, since it is georeferenced, it is to feed GIS tools that allow designers to use the information.

Low cost climate station for smart agriculture applications with photovoltaic energy and wireless communication.

Measuring climatic conditions is a fundamental task for a wide array of scientific and practical fields. Weather variables change depending on position and time, especially in tropical zones without seasons. Additionally, the increasing development of precision or smart agriculture makes it necessary to improve the measurement systems while widely distributing them at the location of crops. For these reasons, in this work, the design, construction and fabrication of an adaptable autonomous solar-powered climatic station with wireless 3G or WiFi communication is presented. The station measures relative humidity, temperature, atmospheric pressure, precipitation, wind speed, and light radiation. In addition, the system monitors the charge state of the main battery and the energy generated by the photovoltaic module to act as a reference cell for solar energy generation capability and agrivoltaic potential in the installation area. The station can be remotely controlled and reconfigured. The collected data from all sensors can be uploaded to the cloud in real-time. This initiative aims at enhancing the development of free and open source hardware that can be used by the agricultural sector and that allows professionals in the area to improve harvest yield and production conditions.

Design and implementation of 3-D printed radiation shields for environmental sensors.

The measurement of outdoor environmental and climatic variables is needed for many applications such as precision agriculture, environmental pollution monitoring, and the study of ecosystems. Some sensors deployed for these purposes such as temperature, relative humidity, atmospheric pressure, and carbon dioxide sensors require protection from climate factors to avoid bias. Radiation shields hold and protect sensors to avoid this bias, but commercial systems are limited, often expensive, and difficult to implement in low-cost contexts or large deployments for collaborative sensing. To overcome these challenges, this work presents an open source, easily adapted and customized design of a radiation shield. The device can be fabricated with inexpensive off-the-shelf parts and 3-D printed components and can be adapted to protect and isolate different types of sensors. Two material approaches are tested here: polylactic acid (PLA), the most common 3-D printing filament, and acrylonitrile styrene acrylate (ASA), which is known to offer better resistance against UV radiation, greater hardness, and generally higher resistance to degradation. To validate the designs, the two prototypes were installed on a custom outdoor meteorological system and temperature and humidity measurements were made in several locations for one month and compared against a proprietary system and a system with no shield. The 3-D printed materials were also both tested multiple times for one month for UV stability of their mechanical properties, their optical transmission and deformation under outdoor high-heat conditions. The results showed that ASA is the preferred material for this design and that the open source radiation shield could match the performance of proprietary systems. The open source system can be constructed for about nine US dollars, which enables mass development of flexible weather stations for monitoring needed in smart agriculture.

Low-cost system for sunlight incidence angle measurement using optical fiber.

The development and optimization of renewable energy systems are some of the most necessary topics to advance towards secure and sustainable energy models. Photovoltaic energy is one of those sustainable options that could contribute to the reduction of greenhouse gas emissions. The optimal angle of solar incidence producing the highest absorption in a day is an important parameter to install photovoltaic systems. This value is often estimated using simulation models based on geographic location; however, those models ignore the influence of nearby obstruction objects, albedo, and local weather conditions. Such a problem is addressed in this work by designing a system to estimate the optimum angle of solar incidence for the photovoltaic panels. The system is based on an arrangement of 33 measurement points spaced in arcs every 45 degrees in azimuth and every 22.5 degrees in elevation, which provides a wide range for analysis. The light captured by each optical fiber is transmitted to a flat array where the power is measured using a single RGB camera.

Open source and open hardware mobile robot for developing applications in education and research.

Nowadays, additive manufacturing, rapid prototyping and assembly modules represent a market that has invaded the entire world, especially in developing countries where traditional manufacturing is more restricted. In robotics, it is pertinent to think that modular construction is essential, due to the complexity of geometry in each of the pieces and their manufacture. Taking into account the globalization of information and the worldwide reproduction of databases, facilitating access to CAD files to be reproduced in 3D printing promotes the easy construction of archived mechanical designs. A robotic architecture becomes a complex assembly by having multiple operating systems. The sensorics, mechanics, electronics and programming that it requires for navigation, collaboration, development, operation and even industrial manufacturing means that more and more elaborate embedded systems are used. In this work, a mobile robotics architecture was developed with a sensory system that allows free movement and navigation in closed loop inverse kinematics. This kind of robot uses navigation algorithms to take a trajectory in collaborative closed environments, that is, closed industrial environments where obstacles are normally immovable and corridors to move narrow, in addition to having mobile obstacles like humans.

Modular system for UV-vis-NIR radiation measurement with wireless communication.

Light wavelengths like Ultraviolet (UV) and Near-Infrared Radiation (NIR) are some topics of great interest for research in renewable energy, agriculture, architecture, interior design, and psychology. Due to the light spectrum influence in all these fields, it is necessary to develop instruments that facilitate their remote measurement and storage using Internet of Things technology. In this work, a modular system of sensors for UV-vis-NIR radiation measurement is presented. The system includes six multi-spectral sensors that allow 54 different measures. The acquired data can be sent to the cloud in real-time or stored in a micro SD memory in separate files (per sensor) to facilitate its reading, each data is time-stamped using Unix format, synchronized with a Network Time Protocol (NTP) server. The sensor enclosure was standardized in installation and all of them except the AS7265 have the same size, and were covered with a 1/8" PTFE sheet to take advantage of its diffuser characteristic. Finally, the sensors were mounted on a standard 2020 extruded aluminum guide rail, this rail allows to fix sensors in different distances and arrangements, bringing adaptability to the system.