• Journal of Ecology and Environment
• /
• 제38권4호
• /
• pp.443-450
• /
• 2015

The east coast of the Korean Peninsula is susceptible to fires because of the low rainfall in winter and spring, and large forest fires have occurred in this area. Lack of fresh water to combat fires has hampered efforts to prevent widespread forest fires in this region. Seawater has not been used as a suppressant because of possible detrimental effects of salt. We investigated the mobility of saline water in the forest soil and their effect on the microbial activity. Using a fire-fighting helicopter, seawater was sprayed over three plots (50 × 100 m) located on the eastern slope of the Baekdu mountain range in South Korea in April, 2011. We sampled the soil in April 4, May 20, and August 5 to determine the amount of salt that remained in the soil. The electrical conductivity value of the soil decreased to <400 μS/cm over a 1-month period. Approximately, four months after the application of seawater, the electrical conductivity value and Na⁺ content in all treatment plots did not significantly differ to those of the control plot, and total microbial activity also recovered to that of the control. Our results indicate that the amount of rainfall, soil physical-chemical properties, and topological factors may be a critical factor determining the mobility of saline water in forest soil.

• 한국정보통신학회논문지
• /
• 제8권2호
• /
• pp.413-419
• /
• 2004

본 논문은 전기설비로부터 방전신호 검출을 통한 전기화재 예측 기법에 관하여 기술하였다. 방전현상으로부터 전기화재 예측에 필요한 전기적 정보를 얻기 위하여 절연지를 통한 연면 방전, 선간 단락 등 다양한 방전현상을 실험적으로 모의하였다. 실험결과로부터 전기화재 발생시 전원주파수와는 다른 특징적인 주파수 신호가 대부분 차지하는 것을 알 수 있었다. 최종적으로 실험결과에 근거한 방전신호 검출장치를 설계ㆍ제작하였으며, 전원선에서 방전신호를 모니터링하는 것으로 전기화재의 예측이 가능함을 확인하였다.

• 한국안전학회지
• /
• 제18권1호
• /
• pp.50-55
• /
• 2003

This paper presents an intelligent computer system, which can easily diagnose electrical fire causes, without the help of human experts of electrical fires diagnosis. For this system, a database is built with facts and rules driven from real electrical fires, and an intellectual database system which even a beginner can diagnose fire causes has been developed, named as an Electrical Fire Causes Diagnosis System : EFCDS. The database system has adopted, as an inference engine, a mixed reasoning approach which is constituted with the rule-based reasoning and the case-based reasoning. The system for a reasoning model was implemented using Delphi 3, one of program development tools, and Paradox is used as a database building tool. To verify effectiveness and performance of this newly developed diagnosis system, several simulated fire examples were tested and the causes of fire examples were detected effectively by this system. Additional researches will be needed to decide the minimal significant level of the solution and the weighting level of important factors.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 A
• /
• pp.339-341
• /
• 2002

The remaining life of ACSR exposed to the atmosphere for a long period may rely on deterioration caused by environmental indices such as atmospheric corrosion, galvanic corrosion, crevice corrosion and fatigue corrosion. One of reduction of useful life in overhead transmission lines built on the ridge of mountain is often caused by forest fires. This paper deals with investigation of strength deterioration performance of ACSR due to fires through several testing and analyzing data for both tension load and material analysis. Test samples are ACSR $480[mm^2]$ conductors, which are artificially fired to regular durations. As a result, it can be verified that tension load of ACSR are reduced by increasing fro duration. Hence, it is obvious that ACSR due to forest fires may lead to mechanical deterioration.

• 한국안전학회지
• /
• 제27권6호
• /
• pp.54-58
• /
• 2012

This paper is purposed to analyze electric leakage component which can prevent electrical fires on breaker capacity expansion and power failure by operation of ELB(Earth leakage breaker) for stable sizes. In order to analysis for electric leakage component for stable sizes, this paper studied field state investigation which are at stable companies( 10 companies) in cheong-won location to deduce the problems of electric leakage component is analyzed. The field state experiment method is measured with electric leakage component which load part of ELB detected by electric loads(electrical fan, lighting, auto waterer, feeder and halogen lighting) and stable sizes. Results show that electric leakage component suggested in this paper are valuable and usable to electrical fire in leakage current based on environment factor, which will prevent severe damage to human beings and properties and reduce the electrical fires in stable.

• 한국안전학회지
• /
• 제21권3호
• /
• pp.16-21
• /
• 2006

This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

• 한국전기전자재료학회논문지
• /
• 제32권4호
• /
• pp.349-355
• /
• 2019

A fire, be it caused intentionally or unintentionally, leads to economic loss and physical damage, and requires digestion. The number of fires is increasing yearly, and electrical fires account for more than 30% among the main causes of fires. Electric wires that catch fire typically employ silicone coatings; silicone has organic as well as inorganic properties. Silicon is a natural, nonexistent, synthetic product with numerous applications. In this study, a silicon rubber for application in wires was prepared by high-temperature vulcanization (HTV) with a Shore A hardness of 70. We report results for the flame retardancy test and the fire safety characteristics via inorganic analysis. For this, a quartz inorganic material was added to the wire specimen, and 18% powdered extinguishing agent ammonium phosphate and expanded vermiculite respectively. Thus, expanded vermiculite showed the best flame retardancy and fire safety characteristics.

• 조명전기설비학회논문지
• /
• 제14권6호
• /
• pp.26-34
• /
• 2000

송전선로의 ACSR(Aluminum Strandard Conductors Steel Reinforced)의 잔존수명에 대한 관심이 전력공급의 신뢰성과 안정성올 유지하기 위하여 점차 중요하게 되있다. 대기 중에 장기간 노출된 ACSR의 잔존수명은 대기부식, 전해부식, 간극부식과 피로부식과 같은 환경요인들에 의하여 발생된 열화에 의존된다. 산 등성이에 가설된 가공 송전선에 유효수명의 감소 중 하나는 종종 산불에 의한 것이다. 이 논문에서는 화염에 노출된 ACSR의 인장하중과 연신율에 대한 몇 가지 시험과 해석 결과를 통하여 화염에 의한 ACSR의 기체적 열화특성 고찰한다 시힘 시료는 ACSR 480[ml] 도체들로, 일정한 시간간격으로 인공적으 로 가열된 것들이다. 가열된 ACSR 도체를에 대한 인장하중과 연산율과 같은 기계적 특성이 시험되고 가열시간에 의한 기계적 특성의 추정함수들미 결정되었다. 그 결과, ACSR의 인장하증과 연신율 모두가 가열시간이 증가함에 따라 감소되는 것 확인할 수 있었다. 따라서, ACSR은 산블에 의하여 기계적인 멸화가 진전될 것이 분명하다.

• 한국화재소방학회:학술대회논문집
• /
• 한국화재소방학회 2002년도 추계학술대회논문집
• /
• pp.15-20
• /
• 2002

• International Journal of Safety
• /
• 제6권2호
• /
• pp.27-32
• /
• 2007

For last several decades with the achievement of fast economic development, the electrical fires occupies over 30 percent of total fire incidents almost every year in Korea and not decreased in spite of much times and efforts. Electrical fire cause diagnostics are to confirm a cause for the fire by examination of fire scene. Cause diagnosis methods haven't been systematized yet, because of limits for available information, investigator's biased knowledge, etc. Therefore, in order to assist the investigators and to find out the exact causes of electrical fires, required is research for an electrical fire cause diagnosis system using DB, computer programming and some mathematical tools. The electrical fire cause diagnosis system has two functions of DB and electrical fire cause diagnosis. The cause diagnosis is conducted by a case-based reasoning on a case base and rule-based reasoning on a rule base. For the diagnosis with high reliability, a mixed reasoning approach of a case-based reasoning and fuzzy rule-based reasoning has been adopted. The electrical fire cause diagnosis system proposes the electrical fire causes inferred from the diagnosis processes, and possibility of the causes as well.