Harrier Information Systems Pvt. Ltd. (CIN.:-U72200MH2004PTC145816) specializes in providing perfect software solutions for the global financial services and Healthcare industries.

Get in touch

Nagpur

Shanti Plaza, Harihar Nagar, Besa, Nagpur - 440 037

Business Phone

91-712- 6602104

Support Mail

info@harriersys.com


Registered Office

G-3, Amar Palace, Dhantoli, Nagpur - 440012

Business Phone

91-712- 6602104

Support Mail

info@harriersys.com


UK

2nd Floor, 145-157 St.John Street, London, United Kingdom, EC1V 4PY


Canada

329 Brightonstone Green SE Calgary, AB T2Z 0G9, Canada


Spain

Av. de la transición Española 24, Piso 5. Alcobendas, Madrid. 28108, Spain

https://www.harriersys.es

IoT CMCS

IoT CMCS (Central Monitoring & Control System)

Client:

Acevin Solutions

Project Requirements:

Acevin solutions wanted to develop a system for central monitoring and control system for smart street lights management. The objective was to enables real time communication between street lights and the its control system.

Project Solution:

Harrier developed a dashboard with data coming into frames over TCP/IP, enabling real time monitoring of street lights. Our well organized dashboard with coordinated statistics for each metric makes it easier for user to monitor the street lighting system and take needed actions when required.

Key Features:

Status Reporting: Status reporting for city, zones and areas in graphs gives a clear overview. Feeder status graph provides an overview of lights’ status in terms of connected, disconnected and faulty along with the percentage of lights on faults severity level. Power vs energy graphs can be seen on different phases for baseline, actual and referral energies. Energy savings in KW and price, % CO2 reduction can also be reported.

Location Tracking: Location tracking of street lights in Google maps along with its working status.

Alarms: Alarms notification setting on different activity parameters ensures quick response for actions to be taken.

Auto Switching: Pattern for auto on-off switching of lights according to weather conditions

Major Challenges:

Matching of frame parameters with socket programming and its verification as on actual condition of street lights.

Technology Environment:

ASP.Net, C#, HTML/CSS, MS SQL server, AJAX, JavaScript, Jquery, Google chart API, Yahoo map API

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