ACTIVAL+™, an electric two-way valve with flow measurement control functions, is a product designed to save energy in air conditioning systems. We have now developed models for overseas markets with large 100–150 A diameters, capable of handling large-capacity air conditioners. In order to maintain the ACTIVAL series’ merits of small size and light weight while satisfying the specifications for flow rate measurement accuracy, we have developed special technology for the fastening structure of plugs and stems and for shaft twist compensation. In this paper, we report on the details of these technological developments.
2. A Central Remote Control for Home Central Air-Conditioning VAV Systems
Teruyoshi Haba, Yuzo Tanaka, Chihiro Nara
For the VAV (variable-air-volume) subsystem of a residential central air-conditioning system, we have developed a centralized remote control using the Wi-Fi function of a commercially available Android tablet. This control can set the temperature of each room, turn eco-mode on or off, and schedule changes insettings from anywhere in the house. As a result, in addition to checking and changing the settings without moving from room to room, it is possible to have the settings change automatically according to activities such as going out or going to sleep. The screen design, which is based on usability testing, is user-friendly with good visibility.
3. Prevention of Electrical Discharge Noise from Electric Air Cleaners
Naohiro Ishikawa, Toshimaru Iguchi
Azbil’s residential central air conditioning system incorporates an electronic air cleaner for air purification. The air cleaner is composed of an ionizer that gives dust an electrical charge and a collector that collects the charged dust. This paper reports the development of an electronic air cleaner with a monitoring circuit (monitoring board) added to the ionizer which uses permanently polarized electrostatic filters in the dust collector. This product provides a safe and clean air environment without the annoyance of discharge noise.
4.Prediction and Alert Technology for Human Error in Assembly Work
Masanori Kondo, Tatsuya Hojo
In recent years, in order to strengthen global competitiveness, it is considered to be important to make equipment intelligent by applying technology such as the IoT (Internet of Things) and AI (artificial intelligence) to improve quality and productivity. One aspect of this improvement is the reduction of careless errors in manual work[1]. This paper describes our application of machine learning to predict careless errors caused by workers’ preconceptions and to notify workers beforehand regarding points where mistakes are likely to occur. We believe that this technology can contribute to ensuring product quality and improving productivity by curtailing careless error.
