• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.269-274
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• 2008

It is attempted that the standardization of the construction, globalization of the engineering construction and an information oriented construction spread by setting a goal of the advanced construction industry and productivity increase of human resources within the country. Hence, it has been brought in the information oriented construction of BIM based technology for the field of construction and equipment of Korea. The current study that examines the possibility of application of 3D ; that is BIM based programs of building equipment, and make better the problems of 3D building equipment system through the Pilot Test, indicates the way of growth development about the construction of building equipment process system.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.6
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• pp.805-810
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• 2003

The annual air pollution emissions from construction and agricultural equipments were estimated from 1987 through 2000. The annual numbers and operation hours of 5 major construction equipments (Excavator, Bulldozer, Loader, Fork lift, Crane) and 3 major agricultural equipments (Power Tiller, Agricultural Tractor, Combine) were investigated for emission estimation. And monthly variation factors of operation hours of construction equipment were investigated too. The NO$_{x}$ emission from construction equipment have been gradually increased since 1987 to 1997, but sharply decreased as -45％ in 1998 due to economic crisis in Korea. The NO$_{x}$ emission was estimated as 64,300 ton/year from construction equipment, and as 23,300 ton/year from agricultural equipment in 2000.000.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.155-166
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• 2008

The Equipment Expenses section of the Poom-Saem that is used for Construction Cost Estimation of public sectors in Korea has been rarely revised, and so does not reflect changes of Construction Equipment technology and construction methods, since it was established based on data from Japan and the U.S in the early 1960s. In order to make reasonable estimation of equipment expenses for a bulldozer and a loader, the domestic and overseas documentary records were investigated. Further, 16 construction sites were visited, and 20 Construction Equipment leasing services were surveyed. The optimum level of each item which consists of equipment costs was revealed based on the result of the analysis on the figures of equipment costs calculation from the Poom-Saem and the collected data. The research will be the foundation for applying the rapid development of Construction Equipment and technology to the appropriate cost estimations and the ground work of related studies.

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.105-111
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• 2009

Construction equipment is a very important factor for successful construction. Also, the cost for construction equipment is a major part of the cost of construction. Therefore, the estimation of the equipment cost is a critical task in construction planning. A formula for production rates shown in 'Standard Unit Labor' has been used to estimate construction equipment capability and cost. Although the performance of the equipment has improved over time, the variables in the formula have not been updated in a timely manner. Therefore, this paper has analyzed the preceding research, and performed several site visits to measure the cycle time of a backhoe and a loader. Construction equipment production rates were calculated with collected cycle times and variables given in 'Standard Unit Labor'. In addition,production rates were estimated considering the circumstances of various sites with the simulation program 'crystal ball.'

• Journal of the Korea Institute of Building Construction
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• v.12 no.6
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• pp.674-681
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• 2012

With the rise in the functions required in modern building structures, the role of the building equipment that maintains the functions of a building has been emphasized and increased. Effective management in this area is only possible when the construction manager (CMr) is qualified and has the knowledge of building equipment that is needed. Therefore, in this study, a questionnaire survey was carried out on equipment engineers and CMrs, in order to determine the level of building equipment knowledge required, and to identify the perception level of CMrs about the building equipment in the construction project at the project design stage. The results of this study revealed that the CMrs surveyed had a lower level of knowledge on the building equipment than the level that was desired by the equipment engineers. This indicates that CMrs currently have a weak capacity for the management of building equipment. It is thus necessary for CMrs to undergo systematic training in order learn more about building equipment and thus be able to manage construction projects more efficiently.

• Tribology and Lubricants
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• v.38 no.4
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• pp.143-151
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• 2022

This study analyzes patents related to oil diagnosis of construction equipment. Oil diagnosis is extremely important for maintaining construction equipment properly. Through the evaluation of existing patents, a patent strategy for the future construction equipment market is presented. The related patents are classified and selected in several steps. Finally, 16 valid patents are selected and analyzed in detail. In the classification process, patents are classified by country, year, and company. A market analysis shows that the top 10 companies have a market share of more than 50. In addition to patents related to the oil analysis of construction equipment, patents related to automobile oil analysis and development of oil sensors are investigated to identify the contents of patents in other fields that can be applied to oil diagnosis technology for construction equipment. Moreover, not only the contents of research articles of two Korean construction companies, but also the research trends in the literature in this field are used in the analysis. The related patents of the two Korean companies are few. Companies with a high market share, including Caterpillar, hold many patents, and patents for diagnosis algorithms using such technologies as artificial intelligence and artificial neural networks, along with oil sensor-based condition monitoring technology, are gradually expanding.

• Journal of the Korean housing association
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• v.9 no.2
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• pp.67-78
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• 1998

Construction equipment noise has caused much annoyance for a number of dwellers in nearby construction field and it has become a very serious issue in our living environment. Therefore, in our country, a practical solution and a better method of reducing construction equipment noise are highly required in construction field. Practical solutions for the construction equipment noise, however, are very difficult to obtain, because of the lack of basic data and insufficient research works. Especially, in order to establish a successful sound isolation plan for piling work noise, which has high sound pressure level, the characteristics of the impact noise should be closely monitored and analyzed. This study attempts to survey the characteristics of attenuation and propagation of construction equipment noise in piling work by SIP(soilcement injected precast pile) method. In addition, this study intends to get the basic data to establish a standard about construction noise.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.86-87
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• 2021

As non-road mobile pollutants such as construction equipment are emerging as the main cause of air pollutants emission, construction equipment regulations are gradually strengthening. Research was conducted by correcting the emission coefficient to calculate and predict air pollutant emissions of construction equipment, but it did not reflect site variables such as field and equipment conditions that affect actual emissions. This study derived an Artificial Neural Network emission prediction model based on the actual emission data of excavators and trucks measured at the site and proposed a platform to predict the emission of air pollutants at the site according to the working size and conditions. Through this, it is possible to establish an eco-friendly process plan using a model from the construction plan.

• Journal of the Korea Institute of Construction Safety
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• v.4 no.1
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• pp.9-15
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• 2021

Recently, buildings have become larger, more complex, and various construction methods have been tried. As a result, the use of construction equipment continues to increase, as well as safety accidents. According to the Ministry of Employment and Labor's report on industrial accidents, the rate of deaths caused by construction equipment among construction accidents has been increasing steadily since 2009. In the safety field of other industries such as crime and traffic, research has been continuously conducted to develop quantitative indicators due to demands for development of evaluation indicators or risk index development. On the other hand, construction equipment has been studied to analyze disaster cases and come up with improvement measures, but there is no research related to risk index. Therefore, the research will develop a quantitative index that can determine the risk level of construction equipment in the field based on the accident case and verify the possibility of use in the field.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.201-205
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• 2010

Earthwork is an essential initial work discipline in construction projects and open to significant impacts of several factors such as weather, site conditions, soil conditions, underground installations and available construction machinery, calling for careful planning by managers. However, selection and combination of construction machinery and equipment for earthwork still depends on experience or intuition of managers in construction sites, with much room left for proper management in terms of cost, schedule and environmental load control. This research aims to analyze the performance of earthwork equipment and establish relations among various factors affecting a model for optimizing selection and combination of earthwork equipment as a precursor to the development of such model. We expect the conclusions herein to contribute to optimizing selection and combination of earthwork equipment and provide basic inputs for the development of applicable model that can save costs, reduce schedule and mitigate environmental load.