Pablo Fernández

SmartPort: A Platform for Sensor Data Monitoring in a Seaport Based on FIWARE

Seaport monitoring and management is a significant research area, in which infrastructure automatically collects big data sets that lead the organization in its multiple activities. Thus, this problem is heavily related to the fields of data acquisition, transfer, storage, big data analysis and information visualization. Las Palmas de Gran Canaria port is a good example of how a seaport generates big data volumes through a network of sensors. They are placed on meteorological stations and maritime buoys, registering environmental parameters. Likewise, the Automatic Identification System (AIS) registers several dynamic parameters about the tracked vessels. However, such an amount of data is useless without a system that enables a meaningful visualization and helps make decisions. In this work, we present SmartPort, a platform that offers a distributed architecture for the collection of the port sensors’ data and a rich Internet application that allows the user to explore the geolocated data. The presented SmartPort tool is a representative, promising and inspiring approach to manage and develop a smart system. It covers a demanding need for big data analysis and visualization utilities for managing complex infrastructures, such as a seaport.

A New Evolutionary Hybrid Algorithm to Solve Demand Responsive Transportation Problems

This paper shows the work done in the definition of a new hybrid algorithm that is based on two evolutionary techniques: simulated annealing and genetic algorithms. The new algorithm has been used to solve the problem of finding the optimal route for a bus in a rural area where people are geographically dispersed. The result of the work done is an algorithm that (in a reasonable time) is able to obtain good solutions regardless of the number of stops along a route.

A Novel Technique for Sterilization Using a Power Self-Regulated Single-Mode Microwave Cavity

In this paper, a novel technique to achieve precise temperatures in food sterilization has been proposed. An accurate temperature profile is needed in order to reach a commitment between the total removal of pathogens inside the product and the preservation of nutritional and organoleptic characteristics. The minimal variation of the target temperature in the sample by means of a monitoring and control software platform, allowing temperature stabilization over 100 °C, is the main goal of this work. A cylindrical microwave oven, under pressure conditions and continuous control of the microwave supply power as function of the final temperature inside the sample, has been designed and developed with conditions of single-mode resonance. The uniform heating in the product is achieved by means of sample movement and the self-regulated power control using the measured temperature. Finally, for testing the sterilization of food with this technology, specific biological validation based on Bacillus cereus as a biosensor of heat inactivation has been incorporated as a distribution along the sample in the experimental process to measure the colony-forming units (CFUs) for different food samples (laboratory medium, soup, or fish-based animal by-products). The obtained results allow the validation of this new technology for food sterilization with precise control of the microwave system to ensure the uniform elimination of pathogens using high temperatures.

A GIS Water Management System Using Free and Open Source Software

Water management systems are having an increasing impact for sustainable development on all types of urban infrastructures. This paper describes the framework of a water management system, as a project of transformation from a traditional commercial software approach to a new, open source flexible system, capable to afford new demanding requirements. Among these new demanding requirements we cover analysis and implementation issues for: an open source GIS for water management, the challenge to big data management, reusing existing data, and network integrity and robustness. A real case scenario is thoroughly described. The integration of a powerful data model and spatial process model into a water modeling framework is proved to enhance the software capabilities for water management system.

3D-Monitoring Big Geo Data on a seaport infrastructure based on FIWARE

AbstractMany organizations of all kinds are using new technologies to assist the acquisition and analysis of data. Seaports are a good example of this trend. Seaports generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as Big Data, is useless without a proper system to organize, analyze and visualize it. SmartPort is an online platform for the visualization and management of a seaport data that has been built as a GIS application. This work offers a Rich Internet Application that allows the user to visualize and manage the different sources of information produced in a port environment. The Big Data management is based on the FIWARE platform, as well as “The Internet of Things” solutions for the data acquisition. At the same time, Glob3 Mobile (G3M) framework has been used for the development of map requirements. In this way, SmartPort supports 3D visualization of the ports scenery and its data sources.

Correction: Moreno, A., et al. Design of a Cooperative ITS Architecture Based on Distributed RSUs.

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Web-Based GIS Through a Big Data Open Source Computer Architecture for Real Time Monitoring Sensors of a Seaport

Numerous activities and processes of a wide nature occur in a modern seaport. To name a few, goods, travelers transportation, fishing, rescue and protection agents and increasing demanding human habits around tourism. In the paradigm of “The Internet of Things” we present “Puerto de la Luz” SmartPort a solution for real time monitoring of sensor data in a seaport infrastructure. We describe the computer architecture and the enriched Internet application that allows the user to visualize and manage real-time information produced in the seaport environment. The Big Data management is based on the FIWARE platform. The entire system is implemented in the “Puerto de La Luz” seaport, in Las Palmas de Gran Canaria, Canary Islands, Spain. We remark the architecture for processing and visualizing the streaming data coming from two sensors physically deployed on the neighborhood of the seaport and underline new features to truly manage Big Data.

Design and Field Experimentation of a Cooperative ITS Architecture Based on Distributed RSUs

This paper describes a new cooperative Intelligent Transportation System architecture that aims to enable collaborative sensing services. The main goal of this architecture is to improve transportation efficiency and performance. The system, which has been proven within the participation in the ICSI (Intelligent Cooperative Sensing for Improved traffic efficiency) European project, encompasses the entire process of capture and management of available road data. For this purpose, it applies a combination of cooperative services and methods for data sensing, acquisition, processing and communication amongst road users, vehicles, infrastructures and related stakeholders. Additionally, the advantages of using the proposed system are exposed. The most important of these advantages is the use of a distributed architecture, moving the system intelligence from the control centre to the peripheral devices. The global architecture of the system is presented, as well as the software design and the interaction between its main components. Finally, functional and operational results observed through the experimentation are described. This experimentation has been carried out in two real scenarios, in Lisbon (Portugal) and Pisa (Italy).

Managing and 3D visualization of real-time big geo-referenced data from Las Palmas port through a flexible open source computer architecture

Nowadays, new technologies assist the capture and analysis of data for all kinds of organizations. A good example of this trend are the seaports that generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as “Big Data”, is useless without a proper system to visualize and organize them. Governments are fully aware of this and promote the creation of visualization and control systems that are useful to port authorities. In the line of management systems based on GIS, the SmartPort project has been developed. SmartPort offers a rich-internet application that allows the user to visualize and manage the different sources of information of a port environment. The “Big Data” management is based on the FI-WARE tools and architecture, as well as “The Internet of Things” solutions for the data acquisition. At the same time, the Glob3 Mobile SDK for the development of map apps will support the 3D visualization of the ports scenery and its data sources.

Using TETRA Technology for Improving a Decentralized Positioning System for Trains and Trams

Today virtually all of our vehicles have GPS devices that provide highly accurate positioning. This type of positioning system has also come to public transportation such as trains and trams. These positioning systems represent a cost effective solution for railway companies operating in not evolved regions. The problem in these cases is that the routes of these trains pass through areas where coverage to calculate the position, or to send that position to the control center, is not sufficient. This paper focuses on the problem of the lack of coverage for the wireless transmission of positioning information. It discusses the feasibility of incorporating TETRA radio technology to increase the reliability of communications systems based on commonly mobile technologies (GPRS/3G). The main objective is to analyze the performance of TETRA technology for transmitting positioning information on a rail system. In the analysis, this technology is compared to alternatives based on GPRS and 3G.