The India Meteorological Department (IMD) had issued a red alert for coastal Maharashtra and Gujarat for 4 June due to the cyclonic storm Nisarga in the Arabian Sea. The weather department stated that “low pressure” formed over the Arabian Sea was expected to move towards Maharashtra and Gujarat and which would cause rainfall over both the states.
The IMD had also issued an orange code warning for Kerala, coastal Karnataka, Goa and coastal Maharashtra for today. The same warning was issued for coastal Maharashtra and Goa for 2 June.
Cyclone Nisarga when made landfall in northern Maharashtra on 3rdWednesday afternoon left a trail of destruction in faraway Goa after gusty winds and heavy rain damaged trees and homes across the state.
Some gauges across the state crossed the 100mm mark. The highest rainfall on 3rdWednesday was recorded in Mormugao taluka South-West (15.3889° N, 73.8166°E), which measured 132mm, While Panaji North-East (15.4909° N, 73.8278° E) and Quepem, South-East (15.2282° N, 74.0647° E) recorded 127.9mm and 115mm respectively.
The Directorate of Fire & Emergency Services as a proactive measure briefed all the Fire Stations across the Stateto be in readiness for any eventuality of Search & Rescue, Tree falling etc. The Fire Station across Goa having all the required Emergency equipment tackled the aftermath of the Cyclonic wind effectively. The Cyclonic wind which hit Goa at a speed of 80 to 100 kmph caused havoc across Goa causing atleast 94 tress falling on electrical line, houses etc. The damage of this destruction is estimated to Rs. 8.23 Lacs. The Fire Fighter across the State worked tirelessly to ensure that the Citizens get the required help in such eventuality.
The Directorate of Fire and Emergency Services has been in the process of undertaking Technological research in various domains of IoT, Communication & Data Analysis.
In this time the Directorate of Fire and Emergency Services has created Automated Dynamic Statistical Dashboard, as a part of populating a Set of Reports of Fire and Emergency Calls attended, along with Summary, Trends and Thermal Mapping. This has helped the Department in understanding the requirement of resources depending on the season type of incidents arising in the locations. The analysis of data from the reports will have a profound impact in planning of Disaster Management. The Department now intends to use Power Maps for data visualization technology that creates interactive charts, graphs, maps, and other visuals that bring the data to life and this will helps the Department in collating data.
| Salient Features and Major Technical Specifications of the |
| Automated Dynamic Statistical Dashboard |
| with Talukawise Thermal Map, Stationwise Trends & Summary Report |
| Directorate of Fire and Emergency Services, Panaji, Goa |
SUMMARY
The Automated Dynamic Statistical Dashboard, is a part of Consolidated Set of Reports of Fire and Emergency Calls attended, along with Summary, Trends and Thermal Mapping. Start Date and End Date have to be set at only one location and is applicable to the entire set of reports. 30 day averages has been introduced in certain reports, for uniform comparisons. The analysis of data from the reports will have a profound impact in planning of Disaster Management.
| 1 | SELECTION PANE | |
| Start & End Date | Will display the Selected Start Date and End Date. | |
| No of Points | Number of Bars to be displayed in charts can be selected from 3 to 12. | |
| Fire & Emergency | The Dashboard can be used for Fire and Emergency as per selection. | |
| Map Scale | Default Colour Scale is to be used for Monthly Comparative Reports. | |
| Scale for Specific Period is to be used for General Analysis. | ||
| 2 | GRAPH FOR TOTAL CALLS ATTENDED | |
| Blue Scale | Number of Bars depend on the Value selected and depict the number | |
| of calls attended in the selected period. | ||
| Dates for individual bars are Auto Calculated based on the Start Date, End Date, | ||
| Duration, and Number of Bars selected. | ||
| Dotted Scale | If number of days in the selected period is not divisible by number of | |
| bars selected, then the first bar will be shown dotted. | ||
| Example: 4 bars for 31 days = 7 days per bar for 3 bars + | ||
| 10 days for the first bar. | ||
| Max Comparison | To compare each station with the station with the highest call, an | |
| additional light grey scale has been introduced in the trend graph of | ||
| each station. | ||
| Uniform Scaling | All stations have been equally scaled for uniform comparison. | |
| Red Circle | The Station with highest number of Calls during each period is circled | |
| Red. | ||
| 3 | SUMMARY | |
| Call Details | Number of Calls Attended and Duration Selected in Days | |
| Property Lost & Saved | Property Lost and Saved is displayed after converting it to the nearest | |
| thousands, lacs or crores. | ||
| Life Lost & Saved | Shows Total Lives Lost & Saved, with split up of Human & Animal Life | |
| 30 Days average | Number of Calls, Property Lost and Property Savded are also scaled to | |
| 30 day period, for easier comparison. | ||
| 4 | STATION TRENDS | |
| Blue Scale | Depict the Number of Calls attended during each period. | |
| Max Comparison | To compare each month with the station with the highest call, an additional light
grey scale has been introduced in the trand graph of each station. |
|
| Uniform Scaling | All stations have been equally scaled for uniform comparison. | |
| Red Circle | The Station with highest number of Calls during each period is circled Red. | |
| 5 | MAP FOR TALUKAWISE CALLS ATTENDED | |
| Legend Colour | The Colour Scale of Legend changes as per selection of Scale. | |
| Actual Value | Number of incidents in the Taluka with highest calls rounded and scaled. When a station attends call outside its home taluka, the same has to be
entered in Data Entry. Otherwise Talukas are Auto detected. |
|
| 30 Day Average | The Number of Calls attended are also displayed as a 30 Day Average. | |
| Map Colour | The Map displays the sum of all Calls attended by all stations within each Taluka. When Stations attend calls outside their home taluka, then this data is used.
Colour of Map is Dependent on whether Default Scale is Selected or the scale for Specific Period is Selected. Provision to adjust colour scale settings has been introduced for Fire, Emergency and Mid-point. |
|
| 6 | SORTED LIST OF STATIONS AND CALL TYPES | |
| Top 4 Stations Sorted | 4 stations with the highest number of calls are sorted with number | |
| number of calls, percentage of total and zone. | ||
| Top 5 Faults Sorted | Top 5 Calls are Sorted along with Number of Calls and Total. | |
| 7 | GRAPH | |
| Stations & Faults | Pie Charts for Station and Faluts, display the Number of Calls and Type | |
| of Calls Sorted respectively, sorted in Descending order. | ||
| Zone wise Graphs | Zone wise calls with percentage are displayed. | |
| 8 | LIVES – TREND GRAPH | |
| Lives Lost & Saved | Trands of Lives Saved and |Lost is dsiplayed for the same periods. | |
| Human & Animals | Human & Animal lives Lost & Saved are shown separately. | |
| 9 | OTHER FEATURES | |
| Report Generation | All standard reports can be generated by a procedure as simple as | |
| Select Dates > Refresh > Save > Save As PDF/ Print | ||
| Data kept ready for Pivot Tables make generation of unique or specilised reports | ||
| faster than ever before. | ||
| Macro Security | No Macros have been used for any aspect. Hence no Macro Viruses can enter. | |
| Compatibility | The formulas are backwordcompatable and forward compatble from Excel | |
| Versions 2007 to 2016. | ||
| Data Entry | Data Entry has been kept in a independent and separate File | |
| Data Export | All sheets in the Data Entry file have been organised in a way that data can | |
| be exported directly to any Sotware or application that the department may | ||
| procure. | ||
| Ease of Data Entry | Dynamic Drop down lists have been created for several Data Entry Fileds, | |
| for Quick and Accurate entry of Data. | ||
