PFC: Analysis and Design of a Control and Management System of the Integrity and Load of Trains in the Underground Work based on a Wireless Sensor Network (WSN)

Building or remodelling large underground areas, such as tunnels, are very complex
projects where there are some very specific needs and dangers.
Historically it has been considered that tunnels were dangerous places and therefore it
was inevitable that fatal accidents took place during construction works. In fact, there
have been many casualties in tunnels under construction. However, nowadays, tunnel
safety is an essential aspect all over the European countries and particularly, in Spain.
Also, it is equally important the construction work management during construction
phase: effective management of resources (workers, raw materials, tools, etc.) within
the tunnel and the machinery involved, with the ultimate goal to improve the
effectiveness and efficiency of the construction site. Most of the mentioned resources
are moved by trains, due to their great ability to transport huge amount of materials
using less time/effort.

 

Many of the measures taken in tunnels, and particularly on trains dedicated to this kind of works, are done manually and with the constant intervention of operators and maintenance personnel which may, in some cases, lead to errors, planning delays and as a result, to increase the final cost of the work. In the case of traffic control and railway equipment inside tunnels, mechanisms for monitoring and management are scarce and usually insufficient for proper operation; these environmental, structural and traffic control mechanisms, become critical during indoors construction work.

Therefore it is necessary the development of a system able to: firstly, immediately detect any problem in the train or in the tunnel infrastructure, react quickly and mitigate effectively the possible consequences; and secondly, able to manage train traffic, detecting at all times the position of each train or other machinery(such as trucks) accurately and safely. The system shall manage and act effectively and quickly with all those measures, parameters and location coordinates.

The first objective of this project was to provide key solutions for wireless seamless connectivity and interoperability in rail tunnel infrastructures by considering everyday physical environments of trains which will significantly contribute to decrease incidents and accidents at work, as well as to the optimization of the works of the rail machinery in terms of time, project costs and operation and maintenance of the equipment and facilities.

As a result of the project, it was implemented a prototype capable of managing freight trains at construction work sites, able to prevent disasters and accidents at building (or refurbishment) stage in large underground areas such as tunnels.

The solution designed and developed is able to reduce the effort and time required for integrating WSN solutions and services into tunnel works, railway safety-related and multipurpose systems, and to reduce maintenance costs of on-board WSN services by providing a single general integration indoor platform for wireless sensors and wireless communication services, with centralized and standard interfaces for existing systems.

B105 Radar Sensor Developments: Software

 

The radar platform developed in B105 Electronic Systems Lab contains a microcontroller which process the I and Q signals adapted from the radar transceiver in order to obtain targets information -speed and distance-. The microcontroller used is a low-power STM32L496 that has a DSP module and enough RAM to perform processing tasks. It runs at 48 MHz and has low-power mode, which allows using our platform in battery-powered Wireless Sensor Networks applications.

The software developed in the microcontroller uses the YetiOS operating system which has also been developed in B105 Electronic Systems Lab and is based on well-known FreeRTOS. The architecture of the radar processing module is composed by two tasks:

  • Acquisition and Generation Task. This task is responsible of taking samples from the ADC and generating signals using the DAC synchronously. Both acquisition and generation is done using DMA, so other tasks -such as processing one- could run while taking samples.
  • Processing Task. This task provides the processed information -speed and distance of targets- to the final user. The acquired signal is filtered so the information in undesired frequency bands is eliminated. Besides, a Fast Fourier Transform (FFT) is performed in order to obtain the signals in the frequency domain. Then an OS-CFAR algorithm is applied to select the frequency peaks corresponding to targets, and the targets are selected based on signal levels and SNR ratio.

We have tested the complete radar system in real scenarios and we can process each 128 samples signal in 15 ms. That means that our radar sensor provides distance and speed information with a rate higher to 60 samples per second.

Finally, we have developed an user interface which allows us testing different configuration and the behaviour of the radar sensor on different scenarios.

 

Radar SW

B105 Radar Sensor Developments: Hardware

 

Low-cost radar transceivers such as RFbeam ones allows using radar sensors in several applications where cost is an important constraint. However they need a hardware platform to work properly. Therefore, in B105 Electronic Systems Lab we have designed and implemented a hardware platform that allows obtaining using radar sensors in Doppler operating mode and FMCW operating mode.

The platform developed is low-sized and resource-constraint which allows using it in Wireless Sensor Networks applications in battery powered nodes. The hardware modules of the designed system are described below:

  • Power Source. Probably one of the most importan parts of the system as it must provide power to the radar transceiver and to the analog adaptation modules. The power source must provide 12 V, 5 V and 3.3 V for proper radar operation, and these sources must be highly noiseless to enchance radar performance.
  • Radar Transceiver. The main component of the radar sensor is the transceiver which sends and receive radar signals. K-LC5 and K-LC6 radar transceivers from RFbeam may be used, providing I and Q IF signals, and a VCO pin for FMCW operation.
  • Signal Adaptation Module. Signal adaptation is necessary to process radar I and Q signals and obtain information from them. An amplification stage, a low-pass filter and a high-pass filter are used in this module. Besides, a single-ended to differential stage is also used to improve signal acquisition.
  • Signal Acquisition. An ADC is used to digitalize the analog signals so they can be processed. The ADC used can be sigma-delta or SAR, with the higher resolution possible (12 to 16 bits), and with speeds from 10 KHz to 1 MHz. In our platform, the acquisition is done by the main microcontroller.
  • Signal Generation.  A DAC is used to generate the signals to modulate the radar transceiver through its VCO pin. Besides, an adaptation stage is implemented to provide adequated modulation signals to the radar transceivers. The DAC used in our platform is integrated in the main microcontroller.
  • Processing Unit. A microcontroller is needed to process the acquired signals and obtain information from them. In our design a low-power STM32L496 microcontroller is used.

Radar HW

 

B105 Radar Sensor Developments

 

Radar technology is a well-known field used since 1940s. This technology has been traditionally applied in military and aerospace fields while it has not been highly exploited in civil applications. However, in the last years, radar transceivers cost-reduction and miniaturization have allowed its application in other fields such as traffic and vehicular safety.

These low-cost radar sensors uses the Doppler effect to obtain information about obstacles or targets in its range. The radar transmits a signal and the frequency shift of the returned signal provides the velocity of the moving targets. There are two main operating modes for these radar sensors:

  • Unmodulated Doppler radar. This operating mode is the most commonly used. The hardware and processing software needed is quite simple which allows using these sensors in size-constraint and resource-contraint devices. However, they only provide velocity information of moving objects in its range. That means that static objects are missed, the distance of the objects cannot be obtained, and two objects moving at the same velocity will be detected as one.
  • Frequency Modulated Continuous Wave (FMCW) radar. This operating mode is used to obtain the distance of static and moving objects. The radar signal is frequency modulated -usually with a frequency ramp- to allow obtaining distances and velocities from the returning signal frequency shift. Thereby, it is necessary to generate a signal to realize the frequency modulation which increases the hardware complexity. Besides, the software processing is harder as there are much more information to process and there are more noise sources from unwanted environment targets.

In B105 Electronic Systems Lab we have developed a full radar system that can operate in both modes and includes all the hardware and the software necessary. This radar system is being used for traffic safety and traffic monitoring applications in several research projects.

RALPH: Sistema radar de detección de obstáculos.

 

La detección de personas y otros obstáculos a grandes distancias en entornos hostiles mediante sensores de bajo coste es un área de gran interés para muchas aplicaciones. En el laboratorio B105 se ha desarrollado un sistema integrado basado en tecnología radar que permite detectar múltiples objetos simultáneamente en un rango de hasta 25 metros. Se trata de un sensor autónomo, de bajo coste y bajos recursos capaz de proporcionar información de distancia a gran velocidad (100 muestras por segundo) de los objetos que se encuentran en su haz de detección.

Detección multiobjeto con RALPH
Detección multiobjeto con RALPH

 

El sistema integra en una sola plataforma todos los módulos necesarios para la adquisición, adaptación de señal, filtrado, procesamiento, comunicaciones y alimentación; y cuenta con unas dimensiones de 10 cm x 10 cm. Se ha desarrollado de modo que sea útil para distintas aplicaciones y su arquitectura modular permite añadir distintos sensores como los basados en ultrasonidos (de gran precisión en pequeñas distancias). Esta arquitectura permite además la reconfiguración del sistema de manera que se puedan utilizar distintos algoritmos de procesamiento en función del transceptor radar usado, el número de sensores o la aplicación específica.