Client profile- IOCL
Indian Oil Corporation Ltd. operates a network of about 12,848 km long crude oil, petroleum product and gas pipelines with a throughput capacity of 93.7 million metric tons per annum of oil and 9.5 million metric standard cubic meters per day of gas. Indian Oil’s 13,000-km cross-country pipelines network facilitates the transportation of crude oil to refineries and finished products to high-demand centres in an efficient, economical and environment-friendly manner. Its throughput capacity of 93.7 MMTPA for crude oil and petroleum products and 9.5 MMSCMD for gas makes it one of the largest pipeline networks in the world.

Project- Security Guard Dynamic tracking and Analytic tool
Problem Statement-
As the commercial enterprise with the largest customer interface in India, Indian Oil has the onerous task of reaching precious petroleum fuels to every nook and corner of the country through its network of over 46,500 customer touch-points, surmounting the challenges of tough terrain, climate and accessibility.

One of Indian Oil’s major project is Paradip-Raipur-Ranchi Pipeline. This pipeline ensures supply to major parts of Odisha, Jharkhand and Chattisgarh.

IOCL has oil pipeline network that travels through many villages and city. On the pipeline from Jatni to Paradeep, which covers an area of 104 km in Odisha, some of the miscreants damaged the oil pipelines of IOCL to steal oil. Following the rupture, oil made its way to nearby village and fields besides spilling over to the water bodies affecting aquatic animals badly.

Although there are around 300 security guards appointed for the whole area which brings to an approximate of 2-3 security guards per km. Still Cases of such oil pilferage increased and were reported frequently. This also showed the carelessness of the guards on patrolling duty or absence of guards on duty or indicated that the guards were partner in crime.

Our Approach-
The bigger challenge here was not to repair the pipeline rather it was to check the frequent cases of oil pipeline damage and to check such cases of oil theft in future. And as guards on patrol were the major group who were responsible to ensure the security, for this a real-time system that could track and monitor all the guards on patrolling was built.

We built a GPS+GSM+GPRS based security guard tracking and analytics tool to safeguard IOCL pipeline from Jatni to Paradeep.

Patrolling Device- An android based app which could collect data and share in real-time was built.

Checkpoint Tour System: This allowed better management of checkpoint routes for multiple clients and location and get real-time updates from every checkpoint scanned by the guards while patrolling.

Manage Patrolling Routes: Remote supervision became easier for Supervisors as they were able to assign guards on duty with new tasks and additional routes on an ad hoc basis and track them remotely.

Reporting Incidents- The system enabled the guards on duty to report any incident directly to the management in real-time.

In case of any emergency, a single tap on the S.O.S panic button by the guards, automatically captures photos, record GPS location and send alerts to the previously saved emergency contacts.

GPS Tracking: Supervisors could view real-time GPS locations of their entire mobile security team. The system also provided searchable historical reports and shifts in specific GPS locations.

Measurable ROI: The system is value for money because it provided supervisors and clients accurate data to assess the effectiveness of the security personnel on patrol.

Secure Data Storage: The whole system runs on Highly Secure and scalable server platform and uses block level storage volumes, which ensures the safety, security and reliability of the stored data.

Key role players involved in operating-
Security Guards- Deployed on the field for patrolling.
HR staffs- They handle security guards profile.
Security Manager- Configures security patrol rules and assign guards on duty at specifically intended sites.
Supervisors- Supervisors edits and approves the report.
The Customer- In this case IOCL itself. The administrative heads were able to generate and evaluate the analysis report of the whole system including all the persons involved at different level which helped them optimize the working of the whole system.

Functioning of the whole system-
The whole area under patrol was divided into several geo-fence. And every guard has a tracking device with its unique id number. So monitoring the guard’s movement, assigning them tasks and checking their work in real-time became very easier for the Supervisor. All the details like guard’s in-time, out time and other real-time data were collected for every geo-fence. And all these data were supervised remotely by the supervisor without being present onsite. This eliminated the need for on-site inspection by the supervisors.

Data collection from multiple location- As the company assigned guards in multiple locations for patrol duties, The system was designed such that it not only collected data from a fixed location rather real-time data collection from multiple locations was possible. Mobile app captured all the patrolling records including checkpoint IDs, date, time and GPS location from all locations to be sent to server.

Supervision of data collected in realtime- Managers and supervisors can log in from any remote location to overview the entire operation in real-time. The system sent notifications and email to the person in charge if there’s any case of emergency reported by the security guards on patrol. The app provided real-time data monitoring features.

System and Data Management- The system offered automatic daily full system data backup and simplified full system recovery.
The database was designed such that it could be compatible with any ODBC selected by the user to meet the enterprise level requirements.
The system supported different levels of user privilege settings Admin, Client, Guards.
The system was a cloud-based solution which ensured flexible data storage space.

The cloud-based app automated the data collection process with the help of GPS. It eliminated the mistakes, intentional errors and dishonesty in the system. As the whole system was automated so it saved the time earlier spent on processing and monitoring timesheets. The new system was a centralized system so retrieving of any user information and transaction logs became easy using PUSH technology. Now it was easier for the IOCL administration to track and monitor the whole patrolling process and get automated reports of the monthly work which helped them to overview better their managers, supervisors and improve the patrol rules. No further report of any such cases of theft or any damage till date is the proof of the efficiency and success of the system.