Security system based on ISS products for the Amur Gas Processing Plant
SecurOS video surveillance and license plate recognition system for road transport and railway carriages for controlling the perimeter of a gas processing plant under construction
Object: Amur Gas Processing Plant
The construction of the Amur Gas Processing Plant near the town of Svobodny has been underway since 2015. It will soon become one of the largest natural gas processing facilities in the world and a critical link in the technological supply chain through the Power of Siberia gas pipeline to China. The Amur GPP will consist of six processing lines, the first two are planned to be commissioned in 2021. The plant area is more than 800 hectares, and the design capacity is up to 42 bln cubic m. of gas per year. The construction involved about 30 thousand people who live there, in the shift camps.
Investor and customer of the construction project – Gazprom Pererabotka Blagoveshchensk LLC;
General contractor – NIPIGAZ JSC
Integrator: Amur branch of PJSC “Rostelecom”
- Operational detection of attempts to enter a protected area bypassing the checkpoint;
- Prevention of unauthorized entry to the plant’s territory and avoidance of accounting errors;
- Reports making for customs control purposes.
Security system composition
- 350 video cameras under SecurOS Enterprise;
- Train carriage and cargo recognition system SecurOS Transit – 2 checkpoints;
- License plate recognition system SecurOS Auto – 8 checkpoints;
- 8 SecurOS video servers ensure the operation of security systems at checkpoints;
- 3 SecurOS video servers support the operation of the video surveillance system.
To secure the site, a 24-hour video monitoring system was organized, covering the territory of the outer perimeter of the plant’s construction site and all transport checkpoints. SecurOS operates 350 cameras. Security personnel continuously monitor the current situation and, if necessary, work with the video archive to clarify the situation. The video is being recorded constantly. Video stored on servers for 30 days.
To prevent unauthorized entry into the territory, the SecurOS Auto license plate recognition system operates at eight checkpoints of the plant. It also made it possible to automate the processes of vehicle registration at the entrance and record-keeping – at the exit. Since the equipment necessary for the plant’s construction is delivered from a number of countries in Europe and Asia by road, license plates recognition of 7 states is provided.
The use of SecurOS Transit video analytics allows minimizing the risk of errors in the registration of entering and leaving railway cars, which often occurs during “manual” registration. It also makes it easy to control the period of stay of each wagon in the plant’s territory.
There is a customs control zone located on the Amur GPP for the prompt to receive and process rapidly incoming technological equipment and building materials. It was necessary to create it because of the plant’s remoteness from the nearest customs post for 200 km. In order to improve the performance of customs officers, SecurOS provides the formation of the necessary reports indicating the vehicle’s license plate, the date and time of the checkpoint passage.
To implement such a large-scale project, a mass of equipment, building materials, and other special equipment is delivered to the plant’s construction site every day. Automation of checkpoints has made it possible to increase the efficiency of the security personnel and significantly speed up the vehicle’s registration process.
Using a video monitoring system, security personnel received an effective tool for detecting cases of the unauthorized crossing of the outer perimeter. The system allows interacting as quickly as possible, and most importantly, to promptly respond to emergency situations and take measures to eliminate them.
ISS specialists carried out starting-up and adjustment works, including testing and subsequent commissioning of the system into industrial operation.
Designing perimeter video surveillance systems is one of the most challenging tasks that requires considering a range of different factors. ISS experts have done a lot of preparatory work related to the choice of the type and models of cameras, places, and methods of their implementation to obtain the maximum probability of detecting intruders on such an extended perimeter