In the case of the companies selected for noise measurement in this study, even though noise exposure in the workplace begins with noise management for large machines or high-output machines, they only manage to write reports on how much workers are exposed to noise for 8 hours a day. is focused on. When large machines are delivered, little information on noise received from the manufacturer is kept, and noise information indicated on design drawings is also difficult to find. History management of noise information of large machines is necessary. There is also a problem with the professionalism of managers who manage noise information. Like odors and fine dust, it is judged that noise needs to be managed by a professional manager at the workplace and managed through a database of noise information.

The noise of large and high-power machines was evaluated and the establishment of mitigation measures was studied. The noise level of large machinery and high-power machinery installed at domestic plant sites was investigated and compared with the noise disclosure regulations to see if they met the standards of the Occupational Safety and Health Act. This investigated the soundproofing design of large and high-power machines and the soundproofing design of complex noise of large machines installed in the plant, and prepared the design standards of the plant design company. In the future, we will compile a database of data to secure standards for research and plant design related to noise reduction, and propose noise improvement and management measures for large and high-power machines.

The main noise of a large machine can be divided into the noise generated during the work process and the noise of the equipment used in the work. The main noise in the noisy area is the air propagation sound caused by the operation of the rotating body. This is not fixed, but changes depending on the situation at the time of measurement. Workplaces exposed to noise can harm workers' health and cause related industrial disasters, resulting in many complaints and social problems, and eventually lead to a lot of damage in terms of productivity. Large machines that need noise reduction the most are motors, pumps, fans, blowers, and compressors. To reduce noise, mechanical structure or material changes are most effective. In this study, the noise reduction method and noise management method of large machines were investigated. To measure noise, the same method as ISO 3744 in Europe and JISA 8305 in Japan was used as KS A ISO 3744, KS A ISO 3746, which is a method of measuring the acoustic power level of machinery.

Due to the development of the industry, the machinery of plant facilities becomes large and operates at high speed and high power. Workers at plant facility sites are exposed to high noise and impact noise, and the number of people with noise-induced hearing loss is increasing every year. Therefore, in order to minimize such damage, many efforts have been made to reduce the noise of large machines in production facilities. Measures, education, and recommendation of wearing hearing protectors are needed to protect the hearing of workers in high noise industries. In addition, it is urgent to reduce noise sources by blocking noise propagation paths, such as installing noise boxes and silencers, and installing facilities and equipment that generate less noise. It is necessary to repair the noise reduction device of the large machine of the plant or to study the noise reduction device when designing the plant.

The purpose of this study was to improve the noise measurement method of noise sources and the corresponding noise reduction measures during each manufacturing process closest to the workers in the large and hige power machine. To this end, the noise generated in the large and high power machine was measured and analyzed, and the frequency characteristics of noise sources and the causes of noise were identified. The noise map was used to predict the noise reduction effect. Moreover, it is expected that this will ultimately contribute to the reduction of human risks caused by the noise of the large and high power machine.

The purpose of this study was to establish the noise generation actual condition of large machine in plant. most of the plant's large-scale machines are designed and manufactured overseas, so it is difficult to access basic information. The regulatory standards, management plans and measurement methods for these machines are insufficient. It is necessary to obtain information about the noise storage devices installed for warranty and the noise reduction device when designing the equipment. Investigation of the occurrence of large-scale machine noise at domestic plant sites was conducted. The sound insulation design of the industrial safety and health care law benchmark and the large-scale machine compound noise design of the equipment are carried out.

The study on the database for the noise of the large machine and high power machine. The object of this project is to prepare the countermeasure of the health care according to investigate and database the basic information of the large machine and high power machine. To accomplish the object ; The dimension and noise of the large machine, which is mounted in the factory, was investigated. And the prediction and measurement method of the noise for the machine by manufacturers were investigated. The database of the noise by the machine type and power was built. The measurement and management methods for the machine noise were considered. The database of the noise was built from the measurement data. The major sound sources and frequency range for the large machine and the high power machine were investigated. The noise effect by the large machine and the high power machine was investigated. The application fields are; The setting of the management plan of the noise which generates from the large machine and the high power machine. The effective noise reduction for the major sound source with low cost. The application as the frequency transition considering the psycho-acoustics characteristics.

The object of this project is to prepare the countermeasure of the health care according to investigate and database the basic information of the large machine and high power machine. To accomplish the object; The dimension and noise of the large machine, which is mounted in the factory, was investigated. The prediction and measurement method of the noise for the machine by manufacturers were investigated. The noise at the 500 points of the large machine and high power machine in the 40 processes of the 6 factories, 6 business fields was measured. The database of the noise was built from the measurement data. The major sound sources and frequency range for the large machine and the high power machine were investigated. The noise effect by the large machine and the high power machine was investigated.