1. Development of cyber attack detection system for ICS
Michiharu Arimoto, Taichi Sasaki, Daiji Sanai
In recent years, the risk of cyber-attacks that damage public and industrial infrastructure has increased. There are also concerns about cyber-attacks aimed at the Tokyo Olympics and Paralympics. Measures against cyber-attacks on critical infrastructure are therefore urgently needed. To meet this need, we have developed a cyber-attack sensor for industrial control systems. With this sensor, even if an attacker manages to enter the control system, detection of the attack at an early stage can be expected. In this paper, we report on the detection technology.
2. Detection of promiscuous IPv6 nodes
Taichi Sasaki, Takahiko Ohta, Daiji Sanai
We have developed a technology that can enumerate Internet Protocol Version 6 (IPv6) nodes on a local network and determine whether they are in promiscuous mode or not. This technology allows more advanced security management of network assets in the IoT era and enables the detection of malicious devices such as PCs in promiscuous mode used for network tapping and hacking.
3. A meter data platform for value creation
Eiji Murakami
To implement “work style reform” and address labor shortages caused by a declining birthrate and an aging society, which are management problems in the LP gas business and in society as a whole, data utilization and data analysis are important. To better utilize data, we employ an IoT to consolidate meter data on a meter data platform. The meter data platform is able to provide useful data to LP gas suppliers and also to provide, as a service, solutions that use the data. For example, we have developed a cloud service solution that optimizes LP gas cylinder delivery.
4. Improving LP gas cylinder delivery using ensemble learning and combinatorial optimization
Eiji Murakami, Soma Toki
We have developed a technology that promotes “work style reform” and can solve the problems of labor shortages and long overtime in LP gas cylinder delivery. Our method uses an IoT to obtain LP gas consumption data. Ensemble learning is applied to the data to predict the amount of LP gas remaining in gas cylinders.
Based on the predictions， addresses for LP gas cylinder delivery are selected and an optimal delivery plan is created that minimizes the number of delivery vehicles and the amount of delivery time.
5. An improved dual valve for safer power press machines
Yutaka Kawaguchi, Koichi Washino, Akiyoshi Oshima
Power press machines are still used at many production sites because they have a simpler structure than high-performance servo press machines. By using a dual solenoid valve with a high exhaust function for startup control of a power press machine (the process of transferring energy from the motor to the press mechanism), it is possible to reliably shut off the energy transfer to the power press machine in the event of a failure. As a result, serious accidents that may follow an unexpected startup can be prevented, and the probability of occurrence of a dangerous failure is extremely low. The safety features on power press machines are constantly developing, and the requirements for dual valves are changing. In our report, we describe the features and technical details of a new dual valve that we developed in order to realize a safer and more reliable power press machine.
6. A vial-position tracking function for freeze-drying machine loader-unloaders
Hisashi Beppu
One process in the production of pharmaceuticals involves the loading of a large number of vials containing chemicals into a chamber for freeze-drying treatment. For quality control, samples from the batch-processed vials are inspected. However, since the temperature inside the chamber is not uniform, it is necessary to track the location of the vials within it so that vials in appropriate positions can be sampled. We have developed a method of adding a vial-position tracking function without enlarging the clean area. This was accomplished by adding a mechanism that removes the vials row by row, maintaining their alignment, after the freeze-drying process.
