Contec Selected as Preferred Negotiator for the Han River Flood Control Center's "Water Resources Communication Satellite Antenna Manufacturing and Installation Project."

Contec Co., Ltd. (CEO Lee Seong-hee), the first listed domestic space startup, announced on the 19th that it had been selected as the preferred bidder for the 'Water Resources Communication Satellite Hydrological Data Collection Antenna Manufacturing and Installation Project' commissioned by the Han River Flood Control Center of the Ministry of Climate, Energy and Environment.

This project is a national project to build an antenna system for a water resources communication satellite using the L/Ka band to collect real-time hydrological information, such as water levels and rainfall, of major rivers in the Han River basin.

For the past two years, Contec has been strengthening its manufacturing capabilities by pursuing the domestic production of ground station antennas for satellites and launch vehicles. As a result of these efforts, following exports to overseas customers, Contec has now supplied its first 7.3m antenna to a domestic customer. This is expected to play a role in replacing imported ground station antennas in the government's public satellite communications infrastructure and observation satellite projects.

Existing imported antennas have suffered from the problem of requiring long maintenance and replacement times when malfunctions occur, reducing operational efficiency. The introduction of domestically produced antennas is expected to alleviate these operational constraints.

Starting with the Han River basin, Contec is also participating in the construction of hydrological data collection antennas for flood control stations along the Nakdong, Geum, and Yeongsan Rivers, aiming to complete the national water resources communication satellite network. Furthermore, Contec plans to propose a real-time integrated and operational model for a satellite-based hydrological observation system and combine satellite and ground-based observation data to improve the accuracy of flood forecasting and warning systems and streamline water resource management.

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