an approach of real-time system for river monitoring and flood-warning system in puebla, mexico

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    World Applied Programming, Vol (3), Issue (8), August 2013. 328-340ISSN: 2222-2510

    2013 WAP journal. www.tijournals.com

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    An Approach of Real-Time System for River Monitoringand Flood-Warning System in Puebla, Mexico

    Luis Enrique Colmenares-Guillen Omar Nio Prieto Aldo Aguila JuradoBenemrita Universidad Autnoma

    de Puebla, MxicoBenemrita Universidad Autnoma

    de Puebla, MxicoBenemrita Universidad

    Autnoma de Puebla, Mxico

    [email protected] [email protected] [email protected]

    Abstract: The absence of real-time monitoring systems in Mexico makes it difficult to provide informationabout river conditions and overflowing. This also makes it difficult to alert the authorities and the protection

    programs in case of a critical contingency. This paper presents an approach of solve this problem. The solutionhas been designed using real-time systems methodologies such as Structured Analysis for Real Time (SA-RT)and Langage d'Aide la Conception d'Applications in Temps Rel (LACATRE), which permit to obtain anddistribute data using two technologies: RTSJ from JAVA and .NET platform from Microsoft.

    Keywords:Flood-warning, Lacatre, Real-time System

    I. INTRODUCTION

    Climate, pollution, deforestation and other human activities are changing the rivers behavior leading to flooding. Such abehavior, affects the ecosystems, the rural and urban areas, which bring along negative consequences such as; human,material and economic losses. In 2008, nearly eighteen million people, all over Latin America, were affected by riverfloods [10]; therefore, it is essential to design some adequate tools for monitoring rivers and evaluating the possibledamage that could result from flooding. It is also indispensable to alert the authorities when potentially high risks areforeseeable; so that preventive actions can be carried out. The primary measurement in the river monitoring is the levelof water, and with some additional measurements such as air pressure, humidity, temperature and rain sensors, make it

    possible to implement a meteorological model that prevents menaces and disasters.

    Nowadays, there are software tools capable of obtaining data from the river monitoring. One of them was created by theCentro Nacional de Prevencin de Desastres (CENAPRED) [2] along with the Universidad Nacional Autnoma de

    Mxico (UNAM). This tool has been put into operation in different Mexican states, with dangerous river behaviors.Some of the problems are caused by the overflowing of several rivers. However, data transfer and communication areslow among the systems and the authorities; causing both a waste of time and the delay of alerts or remedial actions.

    In Puebla, the level of water in the Alseseca River increases significantly during the rainy season -as a consequence ofillegal logging in the Malinche area- causing overflowing that impact on the population. Since the year 1999, about twohundred families have been affected by the overflowing of this river, including districts such as Alseseca, Lpez Portilloand Agrcola Resurgimiento [11].

    This paper presents the Monitoring and Early Flood Warning System (MEFWS). MEFWS is based on the SA-RT [8]and LACATRE [5, 6], General Architecture from the Real Time Volcanic Monitoring system [14, 15, 16] with newfeatures such as monitoring through social networks, Microsoft and Open-source Technologies.

    II. RELATED WORK

    Some projects are described below. This section discusses the different solutions and contributions to build a completesolution that benefits the authorities and the general population.

    II.1 Flood warning system in ItalyIn Italy Piedmont region, a real-time system was developed to prevent flooding of the Sesia River; it was also developedto improve and expand the weather alert service. The hydrological monitoring of the river is carried out through the

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    meteorological, hydrographic, network Piedmont region- integrated with the national network, using three differenttypes of instruments: rain gauges, flow meters and snow measuring stations.

    Under normal conditions, daily weather bulletin is issued, a warning that indicates the degree of danger depending on therain for the next 48 hours in that region.

    The flood monitoring system in the Sesia River is activated when the heavy rains are forecasted in the area or whenrainfall values exceed predetermined threshold; which generates an updating of the data and a warning bulletin offlooding until the phase of the warning is finished [1]

    II.2 CENAPREDs Alert System

    The CENAPRED in conjunction with the National Water Commission and state and municipal governments in Mexicohave established networks for measuring and forecasting flooding systems in the cities of Acapulco, Tijuana, Motozintla,Tapachula, Monterrey, and Villahermosa.

    Those systems through the rain-water model estimates the hydraulic cost at specific point along the channel of a riverwithin a given time, based on measurements of rainfall in the upper basin.

    By using pluviometers and level sensors, data is collected for the current state of the river, and then the data is sent viaradio signal to a central, where it is processed according to the rainfall-runoff model; if the data obtained exceeds

    thresholds, the alarms are activated. [2].

    II.3 Flood Forecasting and Warning in England and WalesFlood forecasting and warning systems work upon the principle of reducing flood losses through remedial action byresidents and businesses preceding a flood.

    The key elements of the flood forecasting and warning process are summarized by Haggett [3] as four main steps; (i)Detection, (ii) Forecasting, (iii) Dissemination and Warning, and (iv) Response.

    II.4The Delft-FEWS flow forecasting systemThe primary objective of this work is to provide additional lead time through predictions of short-term future hydro-meteorological condition. These predictions are used as guidance in making the decision to take any action such as theissuing of a warning. This may then lead to the initiation of an appropriate response. Within the forecasting process,hydrological and hydraulic models may be used to develop a prediction, and the forecasting system needs to support the

    operation of these models in real-time [4].

    III. SOLUTION PROPOSAL AND COMPUTATIONAL PLATFORM

    This scenario of dissemination and warning [3], implies the making of decisions concerning the issue of floodingwarnings, based on the catchment conditions, and the passing of information to flood-plain inhabitants, enough inadvance for them to take remedial actions to protect their lives and to reduce any economic losses. Within these foursteps, MEFWS focuses on the third one, or the dissemination and warning step.

    The MEFWS is a combination of technologies that will deliver results on time and maintain compatibility with the usersPCs. MEFWS will be implemented as the first instance for monitoring the Alseseca River, although the structure anddesign of the system can be implemented in any river through of the country.

    III.1 Methodology and analysisThe design of the System was originally proposed for the Real Time Volcanic Monitoring System [14, 15, 16] using theStructured Analysis for Real Time (SA-RT) [8] as a formal real-time system design language. This formal architecturewas adapted for the river monitoring and flood prevention, and it was supplemented with additional features. The systemdesign can be adaptative, and a concrete software design is proposed. This is possible since the abstract design of theoriginal model of the system architecture is respected. For the software, the LACATRE methodology [5, 6] was used,and it was also adapted for the Microsoft and open-source technologies.

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    Modeling SA-RT is a widely accepted method of analysis in the industrial world, because it provides a mature approachto the design of real-time systems, in addition to being a very expressive graphical language for specifying systemrequirements.

    SA-RT is based on the analysis-oriented data stream. This analysis is based upon the architecture of the Volcanic RealTime Monitoring System that could be adapted to monitor the system as a general architecture and is described in thefollowing diagrams.

    The context diagram represents an overview of the general system, including the most important modules, observed inthe Figure 1, for example the module of the RTSJ platform. This diagram could be modified depending on the elementsof the technology that are being used. This first approach can be adaptative using concrete technology, but the mainobjective is to show to experts, the events of the sensors.

    Figure 1.Context Diagram

    The concrete context diagram represents the design of the system using the elements of a specific technology. In the

    concrete context system diagram of the .NET platform from Microsoft is used. In Figure 2 there is the reading of sensors,processing the data obtained by sensors, delivery and storage module using the RTSJ and the Web server data is shownon the client PC via the module that implements Asynchronous JavaScript and XML (AJAX).

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    Figure 2.Concrete Context Diagram.

    Figure 3 shows the system inputs signals, which pass through these modules: capture, transmission, monitoring, storageand display of data/warnings.

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    Figure 3.Data Flow Diagram

    The state transition diagrams (see Figure 4), shows the possible states of the system, and is related directly with the DFD.The status of the sensors is obtained from the possible actions of the system, just as any changes of state, can also be theconsequence of possible actions of the system; in general, sensors expect a change, and when the change occurs, thesignal is captured and transmitted. This signal is received and processed to show a state of alert if necessary, or thenormal activity of river monitoring.

    Figure 4.State Transition Diagram

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    The architecture context diagram, (see fig. 5) shows the input, processing, output, maintenance and human-computerinteraction (HCI) system.

    Entries are the sensors, the processing is done by the MEFWS system with a web server; the output is the monitoreddata, maintenance is performed by an operator and users belong to the HCI.

    Figure 5.Architecture Context Diagram.

    Figure 6 shows the physical connections of the system, the sensors, the HCI (monitor/screen) and the system modules:RTSJ, the Windows server, the Internet and the module that implements AJAX.

    Figure 6. Interconnection Diagram.

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    III.2 LACATRE DesignFor the design of MEFWS, the formal language LACATRE was used [5, 6], which was developed for theimplementation of Real Time Systems (see Figure 7). This LACATRE diagram is also implemented as a concretesoftware design with the .NET platform from Microsoft. The general LACATRE Software design of the system is alsodescribed in the Real Time Volcanic Monitoring System, but it can also be applied. The system obtains the default ratesof three measurements of different sensors that will monitor the river:

    1) Water level.2) Detection and measurement of rainfall.3) Temperature.

    Figure 7. LACATRE Diagram

    III.3 Implementation of MEFWSFor the MEFWS, two computer platforms were used: the RTSJ platform and the .NET platform from Microsoft. For.NET Platform, The MEFWS is configured by default to receive data from three different types of sensors: 1. Water level

    sensor, 2. Rain sensor and 3. Temperature sensor. However there is no limit to the quantities of each type of sensors, inaddition, the system administrator can establish new types of sensors.

    The configuration and connection between sensors and MEFWS is done wirelessly -via radio waves. Once the sensorsare placed in their proper position, they are powered by a solar cell to transmit the data to MEFWS.

    These are the connection settings used by the Sistema de Alerta Hidrometeorolgica of CENAPRED, with the differencethat in MEFWS, only one computer system will receive and process information from all sensors connected. Figure 8illustrates the connection between sensors and MEFWS.

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    Temperature

    Sensor

    Rain Sensor

    Water-Level

    Sensor

    Information Receiving

    StationMEFWS: MONITORING

    Radio-

    Modem

    Radio-

    Modem

    Radio-

    Modem

    Solar

    power

    Solar

    power

    Solar

    power

    Radio-

    Modem

    Figure 8. Connection and data transmission from the sensors to MEFWS

    The following are the major components of the MEFWS:

    MEFWS: MONITORING MEFWS: SERVER MEFWS: CLIENT MEFWS: WEB and FIREFOX.

    In the Figure 9; the most important aspects of each system component are illustrated.

    Information Receiving

    Station

    MEFWS: MONITORING

    Radio-Modem

    Central Server

    MEFWS: SERVER

    MEFWS:WEB

    User monitoring a river using:

    MEFWS: Cli ent

    User monitoring a river from

    the MEWFS website

    MEFWS: Web

    User checking the alert-statusof a selected river using the

    Firefox Add-on

    MEFWS: Web

    InternetInternet

    Figure 9. Components and general architecture of MEFWS

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    MEFWS: MonitoringThis component was developed under the RTSJ platform [8] and SLAX Linux operating system, and it is responsible forreceiving information and monitoring data from the sensors. As shown in the Figure 8.

    Once the data from the sensors is obtained, it is processed in real time and displayed on the screen, and at the same timeit is introduced into theMEFWS: Serverdatabase, so it should remain available to the other components of MEFWS.

    This component should be used in the Information Receiving Station to monitor each one of the rivers.

    MEFWS: ServerThe MEFWS Server receives the monitoring and analysis data from the MEFWS Monitoring component, which iswaiting for connection requests to come from the clients that want to monitor a particular river. When those connectionrequests arrive, the users will be registered and if the river being monitored changes, the users would be notified aboutthe change and warned accordingly.

    The MEFWS: Server database can also recover data from previous measurements in order to generate graphs, reports,future previsions, and warnings for possible floods.

    The MEFWS: Server component is built on the same platform, enabling compatibility between the client and the server.Some of the features implemented in the MEFWS .NET platform are:

    1)

    Isolated Storage:Through this mechanism, we improve the compatibility of MEFWS because it can store files in a temporary orpermanent computer equipment, without the need for read/write privileges on the current computer. It is useful inMEFWS to store files that are necessary for the implementation and ensures that data is stored in the computer,independently of the role of user in Windows (Administrator, User or Guest). Asynchronous connections,multiprocessing, delegates and Events [9, 12]. These mechanisms improve the efficiency of our application.

    The MEFWS uses the TCP / IP protocol to connect various components and pass information between them. Inthe asynchronous connections, an application can continue running without waiting for a response from the serveror the client, and when an event arrives, an associated delegate capture the event information and informs ourapplication.

    The same applies for multiprocessing, the MEFWS uses multiple threads to control various aspects of the host,and when an event occurs, is captured by the Delegate and the necessary actions are taken by the MEFWS [9, 12].

    2)

    Serialization:Serialization allows the MEFWS to encapsulate objects and store them on disk for future use, or transmit themthrough the network when necessary and be able to reconstruct the object on the receiver component.

    When the MEFWS require to store or transmit information, it stores serialized objects in XML format, and usesa binary serialization format to transmit objects over a network [9, 12].

    3) Security:For the MEFWS, the security is an important subject, if we have an application with open ports or waiting forconnections from any user, is a risk, and the application is unable to know when a message is reliable. Amalicious user can attack this vulnerability and send erroneous data on the system or even try a critical failure,which may cause a human, material, and economic loss.

    To enhance the system security and integrity of data, the MEFWS takes advantage of the .NET platform [9] and allmessages are transmitted using the following steps:

    1. Encryption of the message.2. Serialization of the message.3. Digital Signature message.

    That way each message sent goes by a series of mechanisms that enable to improve safety and reject those messagestransmitted outside the MEFWS: Monitoring Real Time.

    Figure 10 illustrates the transmission of information by the different components of security mechanism of MEFWS.

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    Figure 10. Security mechanism in the transmission of messages via MEFWS

    MEFWS: ClientThis component can be downloaded from the MEFWS website provided having obtained an authorization from theadministrator. Users who can download this component are the authority, organizations and/or groups interested inspecific data and measurements from a certain river, and who are capable of making decisions and take any appropriatemeasures to warn people, towards avoiding a disaster in case of a menace. Once downloaded and installed, the clientcomponent allows a user to monitor the condition of the selected river in real time.

    When users login in the MEFWS: Client, this component connects to the MEFWS: Server and maintains anasynchronous communication, so when a change occurs, or there is a threat in a river, the client component is notifiedimmediately; the users can receive specific information, about a river in real time.

    One advantage ofMEFWS: Client,is that it consumes few resources, and when minimized, it is placed in the Windows

    system tray, what is more, other computer applications will not be disabled. If any abnormal or catastrophic event occurs,the authorities (users) will be informed.

    MEFWS: Web and FirefoxThe MEFWS has its own website, where you can see the basic information for monitoring any river in particular. Thisinformation is public and it is available to anyone who is interested.

    Furthermore, through this site, users who have permission from the system administrator -such as agencies andauthorities involved in monitoring a river- can download the component MEFWS: Client, to install and use on their

    personal computers, thus, being able to monitor a selected river.

    The system provides an additional Add-On to the Firefox web browser, which can be downloaded free of cost, andallows an interested user to know the level of alert a river in particular. These levels are three: Normal, Warning, andDanger. This Add-On is designed so that one person may have a public monitoring of the state of a river.

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    Figure 11. Architecture of MEFWS with .NET

    An important aspect for MEFWS, is the experience, skills and the current computer of a user. An MEFWS priority is thatthe system is user-friendly and works without interrupting the work of the PC users.

    In case MEWFS: Monitoring, use Microsoft platform may be replaced RTSJ component for Windows Embeddedcomponent, as seen in Figure 11.

    III.4 Implementation of RTSJ

    RTSJ of JavaThe RTSJ platform (Real Time Specification for JAVA) [13] allows the generation of real-time applications. The

    platform used as the component of MEFWS: Monitoring, this component requires providing data, and processing themat the moment they are being received, i.e. in real time. Using this platform, results can be shown and processedimmediately.

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    SchedulingOne of the concerns of real-time programming is to ensure the timely or predictable execution of sequences of machineinstructions. These sequences of instructions are called threads, tasks, modules, and blocks. The RTSJ introduces theconcept of a schedulable object. These are objects that scheduling to manage, RealtimeThread and subclasses andAsyncEventHandler and subclasses [13].

    Memory ManagementGarbage-collected memory heaps, have always been considered an obstacle to real-time programming due to theunpredictable latencies introduced by the garbage collector. The RTSJ addresses this issue by providing severalextensions to the memory model, which support memory management in a way that does not interfere with the ability ofreal-time code, to provide deterministic behavior. This goal is accomplished by allowing the allocation of objects outsidethe garbage-collected heap for both short-lived and long-lived objects [13].

    SynchronizationLogic often requires serial access to resources. Real-time systems introduce an additional complexity: to controlling

    priority inversion. We have decided that the least intrusive specification for allowing real-time safe synchronization is torequire that implementations of the Java keyword synchronized include one or more algorithms that prevent priorityinversion among real-time Java threads that share the serialized resource. We also note that in some cases, the use of thesynchronized keyword implementing the required priority inversion algorithm is not sufficient enough: to both prevent

    priority inversion and allow a thread to have execution eligibility logically higher than the garbage collector. We provide

    a set of wait-free queue classes to be used in such situations [13].

    Asynchronous Event HandlingThe asynchronous event facility comprises two classes: AsyncEvent and AsyncEventHandler. An AsyncEvent objectrepresents something that can happen, like a POSIX signal, a hardware interrupt, or a computed event like an airplaneentering a specified region. When one of these events occurs, which is indicated by the fire () method being called, theassociated instances of AsyncEventHandler are scheduled and the handleAsyncEvent() methods are invoked, thus therequired logic is performed. In addition, methods on AsyncEvent are provided to manage the set of instances ofAsyncEventHandler associated with the instance of AsyncEvent [13].

    IV. CONCLUSION AND FUTURE WORK

    The MEFWS is a tool that can distribute the information correctly and on time. It is a system that combines variousmethodologies, platforms and technologies to deliver a solution that brings benefits to the authorities and the general

    population.

    The use of design methodologies for real-time systems such as SA/RT and LACATRE allowed the modeling of a realtime application that captures and distributes the data, and the implementation of the system, Linux and Windowsoperating systems were used, and programming languages like Java and C # .NET, XML and AJAX services.The MEFWS will start monitoring the Alseseca River, but the goal is to implement the system nationwide and to expandthe functionality of existing systems.

    Currently, MEFWS only monitor a single river at a time, so future work aims at permitting a user to monitor severalrivers at the same time. The authorities and organizations are responsible for a large number of rivers that may affecttheir designated area, so it is important to be able monitor several rivers at a time.

    In addition, the functionality of MEFWS will be extended to enable real-time communication between the variousauthorities and organizations that are monitoring a river. As a future work, a general architecture should be proposed to

    monitor all kinds of natural disasters; using the experience of the Real Time Volcanic Monitoring System and MEFWSwhich monitor rivers.

    ACKNOWLEDGEMENTS

    This work has been funded by the Facultad de Ciencias de la Computacin and the Vicerrectora de Investigacin yEstudios de Posgrado at the Benemerita Universidad Autnoma de Puebla (BUAP). The collaboration of the BUAPstudents, who developed the system based on the original design -obtaining the third place in the Microsoft ImagineCup- it is recognized. Jose Luis Luna is thanked for reviewing the use of English in the manuscript.

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