Empezando a trabajar con NB-IoT

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Dentro del proyecto Sensoriza desde el grupo B105 hemos empezado a trabajar por primera vez con la tecnología Narrowband-IoT (NB-IoT).

NB-IoT es un estándar promovido por 3GPP que reutiliza una pequeña parte del espectro LTE. Por tanto, con un pequeño cambio en las estaciones base, proporciona el mismo alcance geográfico que la tecnología móvil 4G actual. La conectividad que proporciona es de muy bajo ancho de banda y baja tasa de datos, a la vez que ofrece una cobertura muy profunda llegando a lugares subterráneos o zonas rurales remotas. Por lo tanto está especialmente diseñada para dispositivos autónomos del mundo del internet de las cosas, como contadores inteligentes, alarmas, agricultura conectada, etc.

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Nuestro objetivo es dotar a las máquinas de conservación y mantenimiento de carreteras de un módulo NB-IoT mediante el que puedan transmitir la información recogida por sus sensores ambientales a un centro de control. Utilizando esta tecnología tendremos conectividad desde las carreteras de montaña remotas donde se realizan la mayor parte de actuaciones de vialidad invernal, lo que hasta ahora no era posible.

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Como pasos iniciales estamos trabajando con dos módulos de dos fabricantes diferentes. En primer lugar tenemos un módulo BC95 de Quectel, que nos ha facilitado su distribuidor en España Monolitic. Por otro lado estamos utilizando una plataforma basada en Arduino que incorpora un módulo SARA-N211 de u-blox. Vodafone, que es la principal compañía telefónica que está implantando la tecnología NB-IoT en España, nos ha proporcionado dos tarjetas SIM para hacer pruebas de conexión con su red.

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ROBIM: Autonomous robots to inspect and evaluate buildings with BIM integration

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The main challenges to overcome in building rehabilitation refer to the use of inefficient traditional techniques and processes as well as to the lack of updated qualitative and quantitative building information. Additionally, building surroundings and facades usually include vulnerable and geometrically complex elements that jeopardize a direct access to them for rehabilitation purposes. This is a critical aspect as the energetic behavior of a building is intimately related to its design and the materials used, hence when materials become functionally or energetically obsolescent, rehabilitation is absolutely necessary so to achieve a minimum energetic efficiency.

In this context, the main objective of the ROBIM project is to develop an automated robotic system that eases the acquisition of detailed and representative information about the state of conservation and composition of enclosures of the building. This system will allow to cut costs
regarding auxiliary equipment used in order to safely access to surroundings of the building, applying state-of-the-art non-destructive inspection techniques and integrating all the information obtained in a digital platform based in BIM methodology. Hence, it will be developed a global solution capable to successfully diagnose the state of a building and provide information in order to effectively decide the typology and scope of the rehabilitation tasks to be performed.

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Title: ROBIM –  ROBÓTICA AUTÓNOMA PARA INSPECCIÓN Y EVALUACIÓN DE EDIFICIOS EXISTENTES CON INTEGRACIÓN BIM
Duration: November 201 – October 2020
Partners: EUROESTUDIOS, S.L; FCC CONSTRUCCIÓN, S.A; GEOTECNIA Y CIMIENTOS, S.A; INSYTE, S.A; IMATIA INNOVATION, S.L; IBIM BUILDING TWICE, S.L; UNIVERSIDAD POLITÉCNICA DE MADRID (giSCI y B105 – ESL); UNIVERSITAT POLITÈCNICA DE VALÈNCIA; UNIVERSIDAD DE VIGO;  ITAINNOVA.
Financing entity: Programa Estratégico de Consorcios de Investigación Empresarial Nacional (CIEN) – Centro para el Desarrollo Tecnológico Industrial (CDTI)

More information:
Project info
UPM info 
Kickoff meeting     

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ALL-IN-ONE. A low-cost and extended information integrated traffic monitoring platform

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Traffic information has multiplied by three its volume market in the last five years. It is also expected that will continue growing greatly in the next years.

However, there are some fields still to be studied and probably exploited regarding traffic information. Such is the case of the integration of both the number of cars and their proper identification.

That is the starting point for the “All in One” project whose objectives are to create an integral traffic monitorization platform with low cost hardware and extended information.

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The hardware platform developed will have one radar device for counting vehicles and a Bluetooth interface for identifying them. With this data available and using data integration techniques it will be possible to achieve a level of traffic information yet unknown.

Our group, the B105 Electronic Systems Lab is the one in charge of designing and developing the low-cost radar system. This system includes the electronic for adapting and handling the RF signals as well as the processing modules and digital filters for those signals.

In this project, there are other research groups and some companies involved. As research groups, we are working together with i3-UPM and CEI. The companies we are collaborating with are ACEINSA, KINEO and IPS. This consortium will allow to achieve the project objectives by integrating some partners with expertise in each of the modules of the whole system.

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DEPERITA – An intrusion alarm system to improve safety in road work zones

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Road traffic accidents are one of the main causes of death and disability worldwide. Workers responsible for maintaining and repairing roadways are especially prone to suffer these events, given their exceptional exposure to traffic.

The goal of this project is to develop an intrusion alarm system to improve safety in road work zones. It consists of several nodes equipped with ultrasonic sensors to detect possible vehicle breaches in the perimeter. In addition, we will develop individual warning devices to be worn by every worker that will be wirelessly connected to the detector nodes. This way, in case of a vehicle invading the work zone, each worker can be effectively and timely warned in order to make it to safety.

This project emerged from Jose Martin‘s MSc thesis, and later has been funded by the 2015 AEESD public call. Its official details are as follows:

Title: DEPERITA – DEtección PERImeTral para el Aviso a trabajadores en obras lineales
Code: TSI-100503-2015-0039
Duration: October 2015 – December 2017
Partners: Valoriza Infraestructuras and Universidad Politécnica de Madrid (B105-ESL)
Financing entity: Ministerio de Industria, Energía y Turismo (AEESD 2015)

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LÁZARO: Development of an innovative ICT system for the detection of architectural barriers and monitoring based on augmented reality

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LÁZARO is a project carried out alongside Valoriza Servicios a la Dependencia S.L.U., with the objective of developing a system to automatically detect architectural barriers making use of computer vision and augmented reality. It will integrate the detection provided by sensors and images and the display of an augmented reality layer, together with a warning and checking system for the barriers.

In addition to the first objective, the project pursues another important goal, the development of a wireless sensor network to monitor the living conditions of people with special needs, such as elderly or disabled people. Therefore, the system will result in an integral solution for assisted living facilities and residences, although it can be applied to several other environments.

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The project details are as follows:

Title: LÁZARO: Development of an innovative ICT system for the detection of architectural barriers and monitoring based on augmented reality
Duration: 2016-2017
Partners: Valoriza Servicios a la Dependencia S.L.U. and Universidad Politécnica de Madrid
Financing entity: Valoriza Servicios a la Dependencia S.L.U. via CDTI.

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SENSORIZA – Real time sensor system for meteorological data acquisition, freeze and snow forecast and road conservation, manteinance and security improvement

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Weather conditions can be very dangerous and produce most of the accidents in road environments. To reduce the road accidents and to maintain the infrastructure, the goal of this project is to perform a wireless sensor system to obtain the weather conditions of the road in real time in order to predict freeze and snow events.

The system consist on a wireless module in the vehicle which takes the sensors information and stores for further processing.

The B105 Electronic Systems Lab. as a representative of Technical University of Madrid(UPM) participates with Valoriza in this innovative research project. To develop it we have the support of the Industrial Technological Center (CDTI) and the Ministry of Enery, Tourism and the Digital Agenda.

 

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Demotherm: Robotic application of refractory material

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The B105 Electronic Systems Lab. as a representative of Technical University of Madrid (UPM) participates with THERMAN and the University of Oviedo (Uniovi) in this innovative research project. To develop it we have the support of the Industrial Technological Center (CDTI) and the Ministry of Economy and Competitiveness, and is co-financed by the European Regional Development Fund (FEDER).

The project aims to achieve an automotive and remote control robot capable of working in hostile environments oriented to the repair of cyclones and cimneys reinforced with refractory material.

This solution represents a revolution in the process and provides economic, strategic, enviromental and safety and occupational health improvements.

Out participation in this project is the development of all the sensorization, actuation and control part of the automobile robot.

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3D Sheet: Study of the feasibility of appearance inspection systems applied to car manufacturing

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The goal of this project is the study of the feasibility of appearance inspection techniques applied to car manufacturing. During the assembly process in the factory and later stages some defects can be produced. This problem can cause important losses of money to the company and dissatisfaction in the client. Therefore, as soon the defect is detected in the supply chain the easier the solution for both parts. However, the detection of defect in the sheet in a difficult challenge.

Currently, the inspection process is made by skilled personnel. However, this project tries to install a support system that detects these failures automatically within the work cycle (1 minute/car).

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The B105 ESL has proposed the study of a low cost 3D scanner. Using two cameras and one projector it can be obtained pictures and the object reconstruction with a high precision. The system is low cost because only used two current cameras and one projector.  The last part is a open software based on the European project 3D Underworld.

 

 

 

Pruebas de detección de vehículos en la A-1 para el proyecto Easysafe

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El paso día 26 fuimos a realizar pruebas para el proyecto Easysafe. La hubicación de las pruebas la autovía A-1 en el kilómetro 111. En él se realizaros varios test enfocados a la detección de vehículos, personas y fauna en la carretera. Esto se realizó por medio de varios tipos de acelerómetros y un magnetómetro sitiados fuera del asfalto. Como se puede apreciar en las fotografías, los sensores fueron colocados en el quitamiedos, a una distancia bastante lejana de loos vehículos y aun así las medidas han sido satisfactorias. A partir de ahora, el trabajo se centrará en el algoritmo para discriminar el tipo de vehículo, animales y personas.

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Desarrollando con Google Tango

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Tango es una plataforma de visión artificial y realidad aumentada desarrollada por Google. Gracias a ella, dispositivos como smartphones y tablets pueden conocer y entender su posición en el mundo que les rodea sin necesidad de GPS u otras señales externas. Esto tiene múltiples aplicaciones como la navegación en interiores, el mapeo 3D, la medición de espacios físicos, el reconocimiento de objetos, etc.

El funcionamiento de la plataforma se basa en tres tecnologías principales: el seguimiento del movimiento (Motion Tracking) utilizando las medidas de acelerómetros y giróscopos en conjunto con las características visuales; el aprendizaje de área (Area Learning) que consiste en el almacenamiento de datos del entorno como espacios, paredes, puertas, etc; y la percepción de profundidad (Depth Perception) que permite entender las formas del entorno.

Para realizar todas estas acciones, Tango se basa principalmente en la información visual proporcionada por la cámara del dispositivo. Sin embargo, dado que los datos de profundidad y distancia a los objetos son clave, la plataforma no puede funcionar en teléfonos típicos con una sola cámara. De hecho, los dispositivos habilitados para ejecutar Tango cuentan además de con la cámara convencional, con un objetivo fish-eye para el seguimiento de movimiento y con un emisor-detector de infrarrojos para medir la profundidad. En la actualidad solo existe en el mercado uno de estos dispositivos, la phablet Lenovo Phab 2 Pro.

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En el laboratorio B105 hemos adquirido uno de estos dispositivos ya que vamos a utilizar Google Tango en uno de nuestros proyectos de investigación. En las siguientes imágenes se pueden ver algunas de las cosas que pueden hacerse con la plataforma y sus aplicaciones.