Implementation of Hydrological Survey Scheduling using Real-Time Water Level Information

실시간 수위정보를 활용한 수문조사 스케줄링 구현

  • 최재명 (목원대학교 컴퓨터공학과)
  • Received : 2023.04.01
  • Accepted : 2023.04.23
  • Published : 2023.04.30

Abstract

Hydrological survey measurement technology has improved due to the introduction of high-tech equipment and advances in technology, but hydrological survey still requires a lot of manpower and time, and the manpower invested is very limited compared to the size and scope of work. In addition, although automatic flow measurement facilities are in operation, it is difficult to expand them nationwide due to limited field conditions. Therefore, it is necessary to improve the operating infrastructure and environment rather than the measurement technology itself for hydrological investigation. In addition, in terms of flow investigation, it is necessary to schedule an investigation using real-time water level information in order to inventory the accuracy of the water-flow relationship equation and improve work efficiency. Therefore, in this paper, research related to domestic hydrological surveys was analyzed and a hydrological survey scheduling system using real- time water level information based on Open API was implemented to increase the economic and efficiency of hydrological surveys.

첨단장비 도입 및 기술의 발전으로 수문조사 측정 기술은 향상되었으나 여전히 수문조사 시 많은 인력과 시간이 필요하며, 업무 규모와 범위에 비해 투입되는 인력은 매우 제한적이다. 또한, 자동유량 측정시설이 운영되고 있지만 현장 조건의 제한되기 때문에 전국으로 확대하기가 어렵다. 따라서 수문조사를 위해 측정 기술 자체보다는 운영 인프라 및 환경 개선이 필요하다. 또한 유량조사 측면에서 수위-유량 관계식의 정확도 재고와 업무 효율성 증진을 위해 실시간 수위 정보를 이용한 조사 스케줄링이 필요하다. 따라서 본 논문에서는 국내 수문조사 관련 연구 파악 및 수문조사의 경제성과 효율성 증대를 위하여 Open API 기반의 실시간 수위 정보를 활용한 수문조사 스케줄링 시스템을 구현하였다.

Keywords

References

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