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Conservation Product List and Ranking from 42 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:May 06, 2026~Jun 02, 2026
This ranking is based on the number of page views on our site.

Conservation Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:May 06, 2026~Jun 02, 2026
This ranking is based on the number of page views on our site.

  1. タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ Gifu//IT/Telecommunications
  2. Kaminashi inc. Tokyo//Information and Communications
  3. 中山水熱工業 Mie//Service Industry
  4. 4 日之出水道機器 メカニカルスティッチ部 Fukuoka//Machine elements and parts
  5. 5 null/null

Conservation Product ranking

Last Updated: Aggregation Period:May 06, 2026~Jun 02, 2026
This ranking is based on the number of page views on our site.

  1. Integrated Maintenance DX of Equipment Maintenance × Generative AI【Smart iMATE】 タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ
  2. Low-cost vibration meter "Smart Vibro" (simultaneous measurement of acceleration, velocity, and displacement) IMV
  3. IoT for heat treatment equipment! We propose predictive maintenance through data collection and remote monitoring. 中外炉工業
  4. [Presentation of Materials] Explanation of Basic Terms in "Equipment Maintenance" That You Can't Ask Now Vol. 1
  5. 4 For abnormal detection of pump equipment! Easy maintenance with low-cost WiFi vibration sensors. 中山水熱工業

Conservation Product List

61~64 item / All 64 items

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Information Preservation during Power Outages and Disasters for Data Centers

Protecting data center information with solar power generation and storage batteries.

In data centers, stable operation 24 hours a day, 365 days a year is essential, and system outages due to power failures or disasters can lead to information loss and impact service delivery to customers. Particularly in data centers that handle critical data, securing power supply is the top priority. The Refresh Shelter provides a fully autonomous power supply through solar power generation and storage batteries, supporting the continuous operation of information systems even in emergencies. 【Usage Scenarios】 - Backup power for data centers - Disaster response headquarters - Temporary information storage locations 【Benefits of Implementation】 - Continuous operation of information systems during emergencies - Information access via Wi-Fi - Privacy protection - Environmental consideration through zero CO2 emissions

  • 2D CAD Construction
  • others
  • Solar power generator
  • Conservation

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What is equipment maintenance? An explanation of its types and the effects of IoT implementation.

I will explain the types and importance of equipment maintenance, as well as the effects of introducing IoT.

Equipment maintenance refers to the tasks involved in regular inspections and monitoring of factories, as well as scheduled maintenance and repairs of failures. It is one of the essential efforts to ensure the smooth operation of equipment and machinery within the factory and to prevent troubles. To streamline the tasks related to equipment maintenance and optimize maintenance practices, the use of IoT is indispensable. This article will explain the types and importance of equipment maintenance, as well as the effects of implementing IoT. *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

  • Other information systems
  • Conservation

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What is preventive maintenance? Differences from corrective maintenance and predictive maintenance using IoT.

I will explain the difference between preventive maintenance and corrective maintenance, as well as predictive maintenance using IoT.

In manufacturing sites, various equipment and machines operate daily. To manage these and achieve stable operation, appropriate maintenance activities are essential. Maintenance activities include preventive maintenance and corrective maintenance, but in recent years, "predictive maintenance" utilizing IoT has also been adopted. This article explains the differences between preventive maintenance and corrective maintenance for properly managing equipment and machines in manufacturing sites, as well as predictive maintenance using IoT. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

  • Other information systems
  • Conservation

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Databricks' "data lakehouse" is transforming predictive maintenance.

A technology that directly connects vast amounts of IoT data to AI learning. Free explanatory materials available.

The key challenge is how to efficiently transform the vast and diverse raw data obtained from IoT devices into value. Databricks' data lakehouse integrates low-cost storage (lake) with high-quality centralized management (warehouse) that can withstand AI learning. By eliminating the complexity of infrastructure construction, companies can focus their resources on their primary goal of "prediction and analysis." We will explain the importance of a foundation that enables the shortest route to AI implementation. The ideal configuration diagram for the data infrastructure is included in the downloadable materials.

  • Company:NTP
  • Price:Other
  • Other information systems
  • Conservation

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