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김영국,정국식,고은비,김영국 한국인공지능융합기술학회 2024 인공지능융합기술연구 Vol.4 No.1
The service is changing to an integrated billing service for electricity, water, gas, heating, hot water, etc., especially in public apartments. Therefore, a big data platform and customer data management system that can store data and provide various services using apartment billing information are needed. This study presents problems with the current meter reading information-centered system and proposes a big data platform and customer data management system that can facilitate service development. The proposed big data platform and customer data management system analyzes energy consumption patterns and provides OpenAPI and data that can support various services.
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김영국,김혜인,이해창,김미소,박관동 사단법인 항법시스템학회 2021 Journal of Positioning, Navigation, and Timing Vol.10 No.2
Fields of high-precision positioning applications are growing fast across the mass market worldwide. Accordingly, the industry is focusing on developing methods of applying State-Space Representation (SSR) corrections on low-cost GNSS receivers. Among SSR correction types, this paper analyzes Safe Position Augmentation for Real Time Navigation (SPARTN) messages being offered by the SAfe and Precise CORrection DAta (SAPCORDA) company and validates positioning algorithms based on them. The first part of this paper introduces the SPARTN format in detail. Then, procedures on how to apply Basic-Precision Atmosphere Correction (BPAC) and High-Precision Atmosphere Correction (HPAC) messages are described. BPAC and HPAC messages are used for correcting satellite clock errors, satellite orbit errors, satellite signal biases and also ionospheric and tropospheric delays. Accuracies of positioning algorithms utilizing SPARTN messages were validated with two types of positioning strategies: Code-PPP using GPS pseudorange measurements and PPP-RTK including carrier phase measurements. In these performance checkups, only single-frequency measurements have been used and integer ambiguities were estimated as float numbers instead of fixed integers. The result shows that, with BPAC and HPAC corrections, the horizontal accuracy is 46% and 63% higher, respectively, compared to that obtained without application of SPARTN corrections. Also, the average horizontal and vertical RMSE values with HPAC are 17 cm and 27 cm, respectively.
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