Driving System Product List and Ranking from 4 Manufacturers, Suppliers and Companies

Energy-saving intermittent operation system "Sunday System"

Energy-saving driving technology enables a significant reduction in power consumption while maintaining water quality!

We have independently developed the energy-saving and intermittent operation system for water treatment facilities, called the "Sunday System." By performing suitable biological treatment even during intermittent operation, we can suppress the high power consumption that burdens both cost and the environment, reducing running costs by 3 to 12%. This system prevents the decline in treatment efficiency and deterioration of water quality upon resuming operation, achieving stable water treatment at low costs. 【Features】 ■ Achieves reduction in electricity costs ■ Enables efficient startup upon resuming operation ■ Holds numerous implementation records at over 27 locations nationwide ■ Certified with ISO 9001 and ISO 14001 *For more details, please refer to the PDF materials or feel free to contact us.

Company：クリタス本社
Price：Other

Software (middle, driver, security, etc.)

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Energy-saving case study of intermittent operation system for compressors.

It does not affect the quality of the product! Energy-saving case of the compressor intermittent operation system.

We have already introduced high-efficiency lighting and were considering the implementation of demand control to further reduce electricity costs. The air conditioning intermittent operation system allows for timer-based energy-saving system control, enabling us to manage the environment of the workspace without altering it, which was a decisive factor in maintaining product quality. In fact, we were able to reduce the basic fee by 510,000 yen annually and the usage fee by up to 1,000,000 yen annually while keeping the temperature inside the refrigeration and freezing units within the set range. 【Overview】 ■ Equipment: Air Conditioning ■ Industry: Food Processing Plant ■ Energy Saving Rate: 43% *For more details, please refer to the PDF document or feel free to contact us.

Company：大島電気
Price：Other

Other air conditioning equipment

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[Column] Development Case Study -3 "AI for Logistics Systems" Discussion

Research and development of AI and autonomous driving for logistics systems! Aiming to solve challenges in the logistics field.

In October 2016, Toyota Industries Corporation and the National Institute of Advanced Industrial Science and Technology established the "Toyota Industries Corporation - AIST Advanced Logistics Collaborative Research Laboratory." The aim is to accelerate the development of technologies for intelligent automation and advanced system integration that enable autonomous operations of vehicles and equipment, leading to the early realization of advanced logistics solutions and addressing challenges in logistics sites. The combined research staff started with about 10 members, but as of December 2021, it has grown to over 40 members (including concurrent positions). Currently, we offer services such as "NEDO Application Business Plan Development Support Service," which assists in the revision of application documents and the creation of business plans, as well as "consultation on management and business administration." Please feel free to contact us. *For more details on the column, you can view it through the related links. For further inquiries, please do not hesitate to contact us.

Company：西牟田コンサルティング
Price：Other

Other information systems

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Computer science that transforms mobility society.

Keywords: Autonomous driving platform, embedded software, real-time systems, IoT, model-based development

A transformation of the mobility society is about to occur, centered around fully autonomous vehicles. Fully autonomous vehicles operate by having computers make decisions regarding steering, acceleration, and braking, which were previously performed by drivers. The computers utilize information from cameras, omnidirectional distance sensors, GPS, and other sources to make these decisions. They manage this information in a three-dimensional space (see diagram) while driving. For the computer to make accurate judgments, it needs to perform various processes simultaneously, as illustrated in the diagram. For example, to drive safely, it requires functions such as object recognition to identify surrounding vehicles and pedestrians, image processing technology to recognize traffic signals, route planning to determine the intended path of the vehicle, and path tracking to ensure it follows the designated route. These functions operate concurrently and are controlled by the computer. In our research lab, we study the mechanisms of computers that effectively manage these various functions simultaneously (completing processing within a specified time). Furthermore, we aim to enhance the safety of autonomous driving through recognition utilizing infrastructure sensors installed at intersections and traffic lights, as well as simulations using digital twin environments.

Company：埼玉大学オープンイノベーションセンター
Price：Other

simulator

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