Earticle

In this paper, using the water level of the reservoir and the water pressure on pipe networks, a decision making technology for estimating the virtual water pressure on arbitrary points in pipe netwrorks and managing the water distribution networks was proposed. We derived the regression equations between the water level in reservoir and the water pressure on pipe networks. The results of the actual application show that the event was detected and the correlation between the measured water pressure at the evaluation point and the estimated value of virtual water pressure related to the change in the water level of the distributing reservoir satisfied the evaluation criterion “5% or less” in all cases. In addition, the result of evaluating the opening and closing of the valve of water pipe show that all events were detected, and the relevant solutions according to that events were suggested by the proposed system

Currently, power plants are using conveyor belts that are used to transport large amounts of coal. However, there is a risk of fire due to the falling coal that occurs during transport. Currently, human resources are deployed to prevent accidents through patrol inspections, but due to the wide range of transport facilities, there is no way to check the status of droppings occurring in all places. Therefore, in this paper, we proposed a method that can always monitor the height of a drop and provide it by determining the height by using a CNN algorithm that shows high accuracy and performance in recent image analysis. A 1-Stage object detection neural network that can be used for the detection of a drop was selected, and basic performance verification of the study was performed using the inference model generated through retraining. The homework on how to more accurately calculate the area of the drop remains, but it is expected to contribute to automating the monitoring of the drop over a wide range of areas that were performed by putting manpower into the field in the future.

In this paper, the angle of the magnet composed of two layers waas designated as a design variables, and an analysis model for the rotor of the 100kW permanent magnet synchronous motor was selected. Compared the length of the magnetic flux barrier that changes according to the angle of the magnet, the use of the magnet, and the distance between the magnets. Through finite element analysis, we presented an improved model by comparing the characteristics of average torque, torque ripple, cogging torque, and total harmonic distortion.