Project SENTRY

Sensing ENvironmental parameters Through TelemeTRY (SENTRY) innovates the water quality monitoring and assessment of concerned advisory agencies through the deployment of devices that automates data acquisition of relevant water quality-related parameters developed by DOST. Data are transmitted to a data processing system that makes those results available over the internet. Among the parameters being gather are pH, temperature, dissolved oxygen and turbidity.

SENTRY also has a feature that warns concerned agencies whenever the system detects that a data is nearing its critical value. Water Quality Monitoring and Assessment (WQMA) bulletins and advisories from DENR-EMB IV-A and DA-BFAR IV-A can also be disseminated by system to LGUs, fish cage owners and other stakeholders.

 

RATIONALE
  • The water quality of Taal Lake largely depends on the activities in the lake, its tributaries as well as the surrounding communities.
  • Domestic and other wastes from human activities can drain into the lake through surface run-offs and via river systems.
  • It has been suspected that organic pollutants from piggery wastes were carried into the lake and contributed a lot in the deterioration of water quality which ultimately resulted to episodes of fish kills.
  • Police power of the LGUs and concerned government agencies must be enhanced by having access to timely and accurate data that will trigger their timely, appropriate and calibrated action.

 

OBJECTIVES

General

  • To establish a real-time water quality monitoring system that is remotely controlled and capable of gathering and processing data for transmission to the key stakeholders of Taal Lake.

Specific

  • To develop a prototype of automated measuring equipment for pH, temperature, dissolved oxygen (DO) and Total Suspended Solids (TSS) that can be remotely controlled.
  • To develop a software application that can process water quality data into useful advisory bulletins for LCEs and decision makers.
  • To determine the technical and economic feasibility of the water quality monitoring system for possible deployment at the strategic sites in the lake and its tributaries.

 

METHODOLOGY

Automated Water Quality Monitoring Sensor

  • Measures water quality parameters such as pH, temperature, dissolved oxygen and turbidity.
  • Data auto-transmit to DOST 4A’s data collection server.
  • Gathers water surface data.
  • Powered by solar panels.
  • Records data from its datalogger.
  • Calibrated periodically to ensure the accuracy of the results and its good working condition.

Application Software

  • Stores all transmitted results of the water quality monitoring DOST’s sensors and WQMA data from DENR-EMB IV-A and DA-BFAR IV-A.
  • Plot monitoring sites and generate graph of results.
  • Gather and disseminate reports (bulletins, advisories, warnings, alerts, etc.) to concerned stakeholders
    build database of Taal Lake fishing industry.

 

ROLE
  • Developer/Programmer for the Application Software
  • Graphic Designer
  • Server Administrator

 

TECHNOLOGY
  • CMS
  • CodeIgniter PHP Framework
  • GSM Modem for SMS Sending/Receiving
  • jQuery
  • MySql
  • Ubuntu Server
  • Shell Script
  • EXO Sonde for the Sensor

 

YEAR
  • 2014

 

STATUS
  • Ongoing Development

 

WEBSITE

http://112.199.120.7/

 

CREDITS

This is my project at Department of Science and Technology – Region 4A

 

SCREENSHOTS
Project SENTRY
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