Safety valves are widely used as the safety device in pressure systems, such as boilers and pressure pipes, to ensure the safe operation of pressure systems. At present, the inspection of safety valves is mainly carried out by manual operation or semi-automatic operation, and it requires a lot of manpower operation costs. Moreover, the measurement of different pressure ranges is performed using only a single pressure sensor such that the test precision is insufficient. In this study, a high-precision safety valve test architecture with three testing channels was proposed, and an automated testing system was developed. In this system, the user can define the test specifications through parameter setting. The system can automatically execute the complete test control process and judge whether the test was passed based on the measured data. In this article, for the low, middle, and high test pressures, the safety valves of four different states were tested respectively and the test reports were automatically generated. Finally, it statistically analyzed the test results for the diagnosis of the safety valve failure. Therefore, the results of this research may effectively solve the problems of current safety valve testing and improve its operational efficiency and test quality.

Solenoids are the most critical components in automatic transmissions. They are used to control the shift points, clutch locking, or pressure regulation of automatic transmissions. Since the number, type, and order of the solenoids all differ when they are used in different vendor’s automatic transmissions, making accurate normal/abnormal decisions for solenoids is very difficult, as it can lower the maintenance quality, to waste labor and material cost, and even reduce driving safety. This article proposes an “abnormal” inspecting method (i.e. for abnormality) for solenoids with high inspect ability and develops a learnable automatic transmission solenoid tester. This tester can perform solenoid testing on multiple channels at the same time. The test result statistics for all channel solenoids tested are generated automatically. It also provides visibility for users to view the difference comparisons of testing curves of temperature, pressure, voltage, current, and resistance on a graphical screen. The curve visibility function will be helpful for the solenoid diagnosis of abnormal or fault reasons.

Wind energy is a kind of renewable energy with great potential for development. This study mainly investigated the application of shock waves generated by high-pressure gases (wind energy) for generating energy. In this study, we designed a new supersonic shock wave generator that can be reused without disassembling and assembling bolts and developed a shock wave monitoring system. It could measure the velocity of the generated shock waves at about Mach 3–5, and the output pressure exceeded 900 kg/cm² (more than 100 times the input pressure). Then, we developed a power generation system driven by supersonic shock waves based on the characteristics of the new shock wave generator, which could generate high-pressure and high-speed blast waves and could be reused. The shock wave generator can repeatedly generate high-pressure waves to drive the Tesla turbine and then rotate the magnetic energy generator for power generation. This paper used tank pressure, output pressure, gas flow, rotation speed, voltage, and current detected by the system to conduct power generation performance analysis. When the minimum rotation speed was set to 1500 rpm and three bulbs were turned on as loads, the system could generate an average voltage of 36.64 V and an average current of 211.01 mA as output (power about 7731.41 mW).

This paper proposes a real-time flag alarm system that can monitor air quality and automatically plant colored flags to inform the people in the barracks. This system automatically measures the local PM 2.5 concentrations with PM sensors; and automatically measures the temperature and humidity with temperature and humidity sensors, then converts the measured values into the grades of danger coefficients and the grades of AQI to plant or replace flags by automatic control. The danger coefficient grades are represented by four colored flags, namely, green, blue, yellow, and red; meanwhile, the AQI grades are represented by six colored flags, namely, green, yellow, orange, red, purple, and maroon. Moreover, this system displays all measured data and related information with electronic billboards to provide a reference for people participating in outdoor activities.

Wind energy is a kind of renewable energy with great potential for development. This study mainly investigated the application of shock waves generated by high-pressure gases (wind energy) for generating energy. In this study, we designed a new supersonic shock wave generator that can be reused without disassembling and assembling bolts and developed a supersonic shock wave monitoring system. This system monitored the velocity of the generated shock waves, which was Mach 3-5, and the output pressure was more than 100 times higher than the input pressure of the shock wave generator tank.Then, we developed a power generation system driven by supersonic shock waves based on the characteristics of the new shock wave generator, which can generate high-pressure and high-speed blast waves and can be reused. The shock wave generator can repeatedly generate high-pressure waves to drive the Tesla turbine and then the magnetic energy generator for power generation. We established a complete control process for power generation driven by shock waves by controlling the valve stem. The system can detect the tank pressure, output pressure, gas flow, rotation speed, voltage, and current during the control process for the performance analysis of power generation.

The capacity of ship’s oil tanks is usually designed as a tabled form in order to obtain oil volumes by using the measured ullage heights. However, the tank walls easily deform or distort due to long-term heavy loading. This phenomenon may cause serious errors that the carrying capacity in oil tanker does not match with the values of the tabled form. In this paper, we perform an oil tank volume calibration project that aims to develop a tank volume calculation and report a generation software with trim and list corrections. The current internal specification for each tank is measured first, and then all specification data measured can be input to this software system to calculate each tank’s volume. These calculated results will be verified by actual delivery volume tests. This software system has been applied to the Der-Yun Oil Tanker of CPC Corp. The result shows that the overall error of calibrated volume for all tanks is under 0.1%. It is proved that this system highly improves the correctness of the vessel’s carrying capacity.