A study on Standardization of Integrated database for Intelligent water information management

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1 , pp A study on Standardization of Integrated database for Intelligent water information management Ji Won Jung *, Seung Kwon Jung **, Jin Tak Choi ***, Dong Seop Lee **** Hydrologic Engineering & Consulting Center (HECOREA), Korea Inc. 27, Samsung IT Valley, Digital-ro 33-gil, Guro-gu, Seoul, Korea Abstract. Recently, the paradigm shift in water management and the development of information technologies has made intelligent water management platform which can be two-way communication. In addition, it carried out various hydrologic information projects and research but It was still difficult for user to get a water information. And the integrated management of water information is not. Smart Water Grid (SWG) is the technology for the efficient operation and management of water resources which was distributed spatial. For this, especially it is important to increase quality and service of information through standardization. Globally the water information system has been applied to a data standards system like that WaterML. WaterML standards for Water Markup Language. It is a standardized dialect of XML designed for transmitting hydrological data. In this study propose a database standardization system for water management in Korea. Also it is to establish interoperability and linkages of National and Regional about water information. Keywords: Water Information, Smart water grid, Integrated database, WaterML, Standardization data. 1 Introduction Unlike other SOC fields, water is a finite resource that is essential for life, and so with climate change, global interest in plans to ensure safe and reliable water is growing every day. The scale of the world water market, which treats water as an economic resource, is expected to grow rapidly from approximately 500 billion USD in 2010 to 865 billion USD (approx. 1,000 trillion KRW) in Smart water grid (SWG) technology is a cutting-edge technology from an original convergence between highend information communications technology and science technology, two areas in which Korea excels. As a result, in addition to safely ensuring its own national water supply, Korea has the opportunity to creatively lead the world water industry [1]. An SWG is an information communications technology developed for smarter water management using infrastructure to spatially distribute water resources through bidirectional communications [2]. In our study, for the purpose of SWG implementation, we aimed to design and construct a database (DB) that would enable integrated and efficient administrative control of data for water resources, usable water, real-time monitoring, and program ISSN: ASTL Copyright 2015 SERSC

2 results for water being managed in various places around the country by different departments, different institutions, and different systems. In addition, we aimed to model data standardization methods for effective data linkage between national waterrelated institutions and the SWG, which is required for the construction of an SWG integrated DB that enables mutual linkage and administration of national and SWG DB. 2 Review of previous research and national portal DB 2.1 Construction of DB for water data For the entry of domestic water-related institutions and companies into the world water market, the standardization of water data is very important. However, there has been a lack of actual research in Korea on the standardization of water data and the construction of a water DB. We conducted a study of previous examples of similar research on the standardization and construction of an integrated DB for intelligent water management. Looking at previous research cases, they suggest standardization methods for some individual systems, which is a starting point for the standardization of water data that has not been conducted up to now. Similarly, with regard to previous cases for the construction of DB in other fields, research has been conducted designing data architecture for the development and use of systems for individual objectives, rather than the construction of data standardization structures for the integrated management of multiple systems. There are no cases of comprehensive studies on water data that have been conducted, or are currently being conducted. Therefore, research is required that can suggest plans for the data standardization needed in the use and distribution of water fata, including data from water resources and waterworks. 2.2 Investigation of national portal DB related to water data In order to standardize and construct an integrated DB for intelligent water management, we performed a literature search for domestic water-related information systems and national portal DB. The range of the search included domestic waterrelated portal sites and water resource or water-related national portal sites currently constructing DB for water supplies, water resources, and waterworks. These are the DB required for a smart water grid that allows sharing, distribution, and administration of water-related data and provides a water-related DB. The DB investigation and analysis for each system was used to analyze the data that could be linked with a smart water grid, and to analyze the current state of the systems. Our literature search for domestic water-related systems and national portal DB revealed that the existing water-related data systems for individual institutions have been constructed independently, and so the code for the data linkage loops is all different. Additionally, the current water-related data is not being shared or Copyright 2015 SERSC 133

3 distributed across all systems, and because there is only sharing between some systems, this is limiting the use of water data[2]. There is no established standardization system for domestic water resources and water-related data, and there is no linkage of national DBs with self-governing organization DB, nor is there linkage between different self-governing organization DB. 3 The necessity and differentiation of an integrated SWG DB In our study, rather than a study to improve the administration of water resources and the infrastructure for using water resources, we constructed a Korean water-related DB standardization system, which can be used by actual smart water grids and water management institutions. In so doing, we made it possible to achieve mutual compatibility and operation between different systems or different applications. Previous research in DB simply consisted of models, or input-output data for individuals programs. However, the SWG integrated DB provides a data standardization method that enables integrated data administration, through data terminology and property definitions based on existing national DB, in order to achieve stable linked administration of national DB with data produced by 8 different programs. 4 Data terminology standardization using a DB-Dictionary As the first stage in our design for SWG integrated DB standardization, we attempted to unify terminology for data used in the data production and storage, and in program development. Up to now, in the research or development of national water management software, different definitions of terminology were used by each developer or in each system. However, in the SWG, we analyzed, as far as possible, 8 different programs and the DB of the Ministry of Land, Infrastructure, and Transport (MOLIT). We compiled this SWG DB-Dictionary, and we presented a guide so that it could be used in the development of S/W and the construction of DB. We aimed to reduce problems with linkage and mutual compatibility by compiling an ERD and table design sheet using the SWG DB-Dictionary. We aimed to make it in such a way that any expert in the relevant field would be able to understand it, even if not from one of the original developers. Also, we aimed to make it convenient for development and maintenance control, by categorizing data features and properties through data analysis, and assigning a data type to each item of data. 5 Standardization using definitions of data properties (type) The data properties definitions sheet (DPDS) is a guide for data standards required in the construction of an integrated DB for an SWG, or for system development. We 134 Copyright 2015 SERSC

4 compiled the data type and properties information for data standardization as shown in Figure 3. The DPDS helps the SWG program head or the developer to understand and adapt the development environment, and makes maintenance control easier. This prevents unnecessary duplication and saves time in the construction of the DB and in program development. We performed an analysis of existing MOLIT DB and SWG data in order to define SWG data types. Through the DB analysis, we categorized data broadly into 3 types for application to the SWG. The first data type was NUMBER, to provide data made up of numbers; second we defined the DATE type, to store data for dates and times, such as years, months, days, and hours; finally, we classified the VACHAR2 and CHAR data types, to store strings of characters of variable length. When we analyzed data produced by the existing MOLIT DB and SWG, we were able to broadly categorize this into data produce in real-time, and code data. Real-time data included data related to floodgates, weather, water quality, water treatment, water loops, and water observation, while code data included data for location, geographic space, facility information, code, and other data types. 6 Construction and mutual linkage of the SWG integrated DB Up to now, we have compiled and presented a DB-Dictionary and data type presentation sheet, and we have conducted standardization of the data. An SWG program was developed through the presented standardization method, and data is being produced and constructed. Construction of the SWG integrated DB required basic analysis of 8 programs developed in the SWG and their on-site monitoring data, in addition to the existing national DB. Therefore, in order to achieve a more detailed data analysis, we analyzed the modules being developed in each program, and analyzed the data linkage flow, investigating where data was produced and which programs it was connected to, so as to allow integrated administration of the SWG programs. In order to understand each program s data and entity relationships, we analyzed the division of task functions; we also investigated the data required for program development, and DB design and constructions, and we analyzed the flow of data. Moreover, we investigated the flow of data centered on the SWG integrated DB. Starting with the level of multiple water supplies, down to the water loop distribution supply, this shows the mutually linked administration processes for each program. In relation to data production and DB storage, the 8 programs apply different rules to time, and so we need to find a method that would allow them to run as a single program. Therefore, we made it a principle to send and store data to the DB every hour, on the hour, for data produced during the operation of programs. This allowed the database to be constructed in such a way that the operating details of each program could be assessed in hourly units, thereby enabling organic mutual operations between the programs [3]. Copyright 2015 SERSC 135

5 7 Conclusion In our study, we presented a means of data standardization for the efficient linked administration of individual programs developed in the SWG. This improves the quality of data, through the action of consistent data forms and rules, and where data from individual programs is required, because all the data is managed according to the same data standards, we constructed the SWG integrated DB such that even data from different developers can be used in its original form, without additional conversion or parsing processes. This reduced additional costs, and unnecessary waste of developer labor. Moreover, through data standardization, because only approved data elements are used in system development, maintenance, and repairs, this can be seen as a turning point in securing efficiency for system development and data sharing capacity. Acknowledgement. This research was supported by a grant (12-TI-C01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government References 1. Yum K. T.: Smart Water Grid Research Group, Strategies for the introduction and technology diffusion. Magazine of Korea Water Resources Association, 47(3), pp.12-17(2014) 2. Jung S. K.: Intelligent Water Supply Information Management Technology. The Journal of Korea Information and Communications Society, 31(6), pp.75-78(2014) 3. Jung S. K.: Development of integrated management technology for water supply information. Magazine of Korea Water Resources Association, 46(7), pp.39-44(2013) 136 Copyright 2015 SERSC