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Conservation Product List and Ranking from 40 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 2026
This ranking is based on the number of page views on our site.

Conservation Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 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. 中山水熱工業 Mie//Service Industry
  3. 日之出水道機器 メカニカルスティッチ部 Fukuoka//Machine elements and parts
  4. 4 Kaminashi inc. Tokyo//Information and Communications
  5. 5 null/null

Conservation Product ranking

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 2026
This ranking is based on the number of page views on our site.

  1. Wireless predictive maintenance introduced by Toyota and Nissan for automotive and parts factories. 中山水熱工業
  2. Press machine frame crack repair MS repair method electric motor crack repair maintenance 日之出水道機器 メカニカルスティッチ部
  3. Low-cost vibration meter "Smart Vibro" (simultaneous measurement of acceleration, velocity, and displacement) IMV
  4. 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
  5. 4 [Presentation of Materials] Explanation of Basic Terms in "Equipment Maintenance" That You Can't Ask Now Vol. 1

Conservation Product List

31~60 item / All 60 items

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The malfunction may be caused by humidity! For malfunction countermeasures and maintenance, G-Breath.

Even with a waterproof structure, the internal temperature can drop by just a few degrees, leading to high humidity and condensation. Are you using it beyond the specified humidity range of the product?

I never imagined that the cause of the malfunction would be "humidity"! The product has a waterproof structure with a specified humidity range of 20% to 80%. During daytime inspections, the internal temperature was 25°C and the humidity was 60%, which is an acceptable environment. However, it malfunctioned later. Upon investigating the cause, I found that the humidity inside had risen at night! Why? At a temperature of 25°C and humidity of 60%, the dew point temperature at which condensation begins is 16°C. Just a few degrees drop in temperature can lead to high humidity and condensation. (Relative) humidity % = Actual amount of water vapor in the air / Amount of water vapor that can be held in the air (saturated water vapor amount) x 100. The saturated water vapor amount in the denominator decreases as the temperature drops and increases as the temperature rises. Therefore, even if the amount of water vapor in the air does not change, if the temperature drops, the humidity will rise. Conversely, if the temperature rises, the humidity will drop, making it a phenomenon that is not easily noticed. The humidity inside the product fluctuates between medium to high humidity levels, potentially exceeding the specified humidity range of the product. Without knowing this situation, damage can occur, leading to sudden malfunctions (such as poor contact, power loss, decreased insulation resistance, etc.) one day. Especially in infrastructure facilities, a malfunction of just one piece of equipment cannot be overlooked. Problems can arise whether the humidity is too high or too low.

  • Board materials
  • Conservation

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Predictive maintenance with "vibration detection sensor system" *Monitoring participants wanted.

We are looking for companies that can participate as monitors for the commercialization of our developing "Vibration Detection Sensor System"!

The "vibration detection sensor" currently under development detects vibrations using built-in sensors and wirelessly transmits data indicating changes in equipment status to a higher level for acquisition. LSI Japan Co., Ltd. aims to simplify the process of understanding the appropriate maintenance timing for equipment by visualizing changes in vibration, and is seeking companies that can act as monitors for the commercialization of the sensor system. If you are interested in systems that monitor equipment status using sensors and predictive maintenance, please feel free to contact us. Customers who participate as monitors will receive a graph of the acquired clogging trend data. 【Patent】 We have obtained a patent for a method of detecting clogging based on the magnitude of vibrations that are proportional to and derived from the flow. Patent No. 5821067 "Clogging Estimation Method, Filter Monitoring System, and Vibration Information Transmission" *For more details, please contact us.

  • Sensors
  • Conservation

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Regular inspections and equipment maintenance "Maintenance of FA industrial robots"

Maintenance, regular inspections, and overhaul of idle robots are possible.

We provide maintenance for FA industrial robots. [Do you have any of the following concerns?] (For production technology personnel) ● There are few instances of robot implementation, and I don't know how to maintain them, so I'm worried about management... ● There are many robots in operation, and maintenance is challenging... ● I want to reuse idle robots... ⇒ Please feel free to consult with us! [Contents of FA industrial robot maintenance] - Support for various robot manufacturers - Maintenance tailored to the operational status of the robots - Overhaul of idle robots - Robot updates - Proposals for daily inspection sheets and equipment maintenance etc. *For details, please view the materials from [PDF Download] or feel free to [Contact Us]. *New implementations are also possible, so please feel free to consult with us.

  • Other industrial robots
  • Welding robot
  • Inspection robot
  • Conservation

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Predictive Maintenance using MATLAB

To enable the start of developing predictive maintenance algorithms, we will explain the terminology and introduce examples, tutorials, and trial software.

With the realization of "smart factories" through the AI x IoT transformation in the manufacturing industry, interest in predictive maintenance is growing daily. Predictive maintenance allows for the monitoring of equipment conditions to prevent future equipment failures. By using data from equipment sensors, it is possible to identify the root causes of failures and predict the time until failure using classification, regression, and time series analysis. It also helps in identifying complex machine issues and determining which parts need repair or replacement. This minimizes downtime and maximizes the lifespan of the equipment. This ebook provides explanations of terms, examples, tutorials, and access to trial software to help you get started with developing predictive maintenance algorithms using MATLAB.

  • Software (middle, driver, security, etc.)
  • Conservation

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What is post-event preservation? Introducing the differences, advantages, and disadvantages compared to preventive preservation.

Introducing specific examples of improvement activities! Explaining how to break away from high-risk post-maintenance.

In equipment management within the manufacturing industry, reactive maintenance is unavoidable. In the case of reactive maintenance, it may sound like a simple idea that you just need to fix things when they break, but if used strategically, it can also be a method that offers significant benefits. This article will introduce an overview of reactive maintenance, two response patterns: failure-based breakdowns and performance-degradation failures, the differences from preventive maintenance, and methods to achieve an appropriate equipment management system within limited resources. We will also delve into how to integrate the experience of veteran maintenance personnel with digital technology, so please stay tuned until the end. *For detailed content of the article, you can view it through the link below.*

  • Internal Control and Operational Management
  • Conservation

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What is Equipment Maintenance DX? Introducing specific examples of issues that can be solved and tools that can be used.

Let's promote equipment maintenance DX, advance technology transfer, and aim for improved productivity!

For many years, equipment management focused on reactive maintenance, where repairs were made only after a failure occurred, was common in many manufacturing sites. However, as equipment aging progresses, unexpected production stoppages due to sudden failures and the rising costs of unforeseen repairs have become factors that pressure the management of manufacturing businesses. This article will explain the specific approaches to equipment maintenance DX and the key points for success. If you want to learn how to reform your equipment management system efficiently while keeping costs down, please refer to this article. *You can view the detailed content of the article through the link below.*

  • Internal Control and Operational Management
  • Conservation

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What is self-preservation? Introducing 7 steps to promote it.

Explaining the four required abilities and key points to engage the field!

To prevent equipment troubles, it is essential that not only the maintenance department but also each individual worker (operator) on the shop floor engages in autonomous maintenance. Autonomous maintenance involves operators checking the condition of the equipment and taking actions to ensure that the production line does not stop. By having everyone involved in activities related to equipment maintenance, such as autonomous maintenance, we can maintain productivity and safety. This article introduces an overview and purpose of autonomous maintenance, as well as seven steps to implement it. It also covers the four essential skills needed by operators and points to promote autonomous maintenance, along with effective tools. If you want to develop personnel capable of autonomous maintenance, please refer to this article. *For more detailed information, you can view the article through the link below.

  • Internal Control and Operational Management
  • Conservation

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What is predictive maintenance (anomaly-based maintenance)? Introducing the differences from preventive maintenance and the steps for implementation.

Introducing the differences from preventive methods and the implementation steps using AI and IoT!

The losses caused by unexpected downtime due to sudden equipment failures on production lines are a significant challenge for the manufacturing industry. Veteran maintenance personnel may intuitively sense something is wrong from subtle changes in equipment sounds or vibration patterns. However, this valuable know-how is being lost with retirement. Moreover, traditional reactive maintenance that fixes equipment after it breaks down and preventive maintenance that involves regular parts replacement are becoming insufficient to fully grasp the condition of increasingly complex manufacturing equipment. This article summarizes practical information for those aiming to improve productivity in manufacturing sites, covering the basics of predictive maintenance, its benefits, and implementation methods. *For detailed content of the article, please refer to the link below.*

  • Internal Control and Operational Management
  • Conservation

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For abnormal detection of pump equipment! Easy maintenance with low-cost WiFi vibration sensors.

Don't miss abnormal vibrations in pumps! Easy monitoring with smartphones, achieving both labor reduction and increased operational efficiency.

Conan Air is a Wi-Fi vibration sensor that allows for constant monitoring of pump equipment conditions. It enables early detection of vibration anomalies that are often overlooked in traditional regular inspections and patrols, achieving preventive maintenance. It can be operated from a smartphone or tablet via a browser connection, making it easy to use even without specialized knowledge. With measurement capabilities up to 1 kHz and a palm-sized design, it does not require much installation space. Additionally, with an introduction cost of just 30,000 yen per unit, it supports the establishment of a low-cost maintenance system. 【Benefits of Implementation】 - Automation is possible as a countermeasure for personnel shortages. - Early detection of abnormal vibrations to prevent failures. - Monitoring of the entire pump line is realized through a digital twin. - Experience the performance with a free 30-day trial.

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  • Vibration Monitoring
  • Conservation

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For predictive maintenance of pump equipment! WiFi vibration sensor "Conan Air"

Early detection of abnormal vibrations and predictive maintenance! Achieving trouble avoidance and labor reduction through smartphone monitoring.

Conan Air is a Wi-Fi vibration sensor that can quickly detect abnormal signs in pump units and piping systems. It automates the patrol inspections that were previously done manually, enabling planned maintenance through predictive maintenance. Data can be checked via a browser from smartphones or tablets, making it easy to operate even without specialized knowledge. It supports high-sensitivity measurements up to 1 kHz and is compactly designed at a low cost of 30,000 yen per unit. Furthermore, with digital twin technology, it supports the monitoring of the entire factory's operations and reduces the need for personnel in maintenance tasks. 【Benefits of Implementation】 - Early detection of abnormal signs to reduce downtime - Maintaining stable operations while reducing personnel - Easy installation, significantly lowering implementation costs A 30-day free trial is available.

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  • Vibration Monitoring
  • Conservation

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Equipment Maintenance DX with Smart iMATE for Semiconductor Manufacturing

Integrated maintenance DX that supports yield improvement with AI.

In the semiconductor manufacturing industry, improving yield is a crucial issue directly linked to profitability. Equipment failures and malfunctions are significant factors that lead to decreased yield. Particularly in semiconductor manufacturing, which requires advanced technology, stable operation of equipment is essential. Smart iMATE analyzes maintenance records using AI to detect early signs of potential failures, enabling planned maintenance and contributing to yield improvement. 【Usage Scenarios】 - Preventive maintenance of equipment in semiconductor manufacturing lines - Investigating causes during equipment failures and reducing recovery time - Standardizing maintenance operations and passing on technical knowledge 【Benefits of Implementation】 - Improved yield through stable equipment operation - Reduced maintenance costs - Alleviation of the burden on technicians

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Preventive maintenance for industrial furnaces! IoT visualization system 'Miterune'

IoT sensors × remote maintenance! Preventing troubles in advance by conducting planned equipment maintenance.

"Miterune" contributes to the prevention of troubles by detecting fires in industrial furnaces and measuring the air-fuel ratio, furnace temperature, and exhaust gas temperature with sensors inside the furnace, visualizing this data. When the service starts, we create a "medical record" to understand the fundamental information regarding the furnace's health, allowing us to propose optimal operational consulting and planned equipment renovations. As part of our standard menu, we conduct regular report deliveries and inspections, enabling continuous monitoring of the customer's equipment condition and preventive maintenance. [Features] ■ Supports preventive maintenance and energy saving for industrial furnaces through visualization utilizing "IoT" ■ Constantly checks the "health" of industrial furnaces ■ Simple and reassuring enough for beginners to understand through the screen ■ Report delivery service combining data analysis and the experience of on-site professionals *For more details, please refer to the PDF materials or feel free to contact us.

  • Other operation management software
  • Conservation

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On-Demand Seminar: Introduction to Planned Maintenance

The first step in learning about planned maintenance related to electrical preservation - Let's learn from the degradation mechanisms of electrical equipment essential for predictive maintenance.

●Overview and Objectives - You can learn from scratch about the degradation mechanisms of electrical equipment, which are essential for predictive maintenance, based on case studies. - It is also ideal as the first step in learning about planned maintenance related to electrical maintenance.

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Predictive Maintenance using AI-FTA for Chemical Plants

AI supports predictive maintenance in chemical plants, reducing equipment downtime risks.

In the chemical plant industry, stable operation of equipment is essential, and predictive maintenance to prevent failures is crucial. Particularly in equipment used in high-temperature and high-pressure environments, even minor abnormalities can lead to serious accidents. AI-FTA analyzes past failure data and inspection history, enabling early detection of anomalies. This allows for planned maintenance to be carried out, minimizing equipment downtime. 【Usage Scenarios】 - High-temperature continuous processing equipment - Incineration equipment - Heat recovery systems - Exhaust and denitrification equipment - Multi-system interlinked equipment 【Benefits of Implementation】 - Reduction in time to identify failure causes - Decrease in equipment shutdown risks - Reduction in maintenance costs - Assetization of trouble response history

  • boiler
  • Conservation

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Predictive Maintenance by ZeugMa for the Manufacturing Industry

Early detection of manufacturing equipment anomalies with digital twins!

In the manufacturing industry, stable operation of equipment is essential for maintaining production efficiency. Unexpected equipment failures can lead to delays across the entire production line and increased costs. Particularly, efficiently managing manufacturing equipment across multiple locations and detecting anomalies early are critical challenges that can influence a company's competitiveness. ZeugMa addresses these challenges by visualizing data from IoT sensors in a 3D space, enabling early detection of equipment anomalies. 【Use Cases】 - Equipment monitoring on production lines - Equipment management in multi-site factories - Predictive maintenance of equipment 【Benefits of Implementation】 - Reduction in equipment downtime - Decrease in maintenance costs - Improvement in production efficiency

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  • Integrated operation management
  • Conservation

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Equipment maintenance using portable vibration meters for shipbuilding.

Visualizing the vibrations of shipyard equipment to achieve efficient evaluation!

In the shipbuilding industry, ensuring the durability and safety of shipbuilding equipment is essential. In particular, vibrations generated from critical production equipment can significantly impact the shipbuilding and ship maintenance processes, making proper evaluation indispensable. Inadequate vibration management can lead to structural issues and equipment failures. Our portable vibration meter is compact and lightweight, allowing for one-handed operation, which facilitates on-site measurements and enables efficient data collection. 【Usage Scenarios】 - Vibration measurement of equipment structures - Detection of equipment anomalies - Vibration evaluation 【Benefits of Implementation】 - Identification of problem areas through visualization of vibration data - Reduction of repair costs through early detection of anomalies - Improvement of safety in shipbuilding and adherence to delivery schedules - Development of efficient maintenance plans

  • Other analyses
  • Vibration Inspection
  • Vibration Monitoring
  • Conservation

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Equipment Maintenance DX with Smart iMATE for the Manufacturing Industry

AI detects equipment anomalies and streamlines maintenance operations.

In predictive maintenance for manufacturing, it is important to detect equipment anomalies early and minimize downtime. Equipment failures can lead to decreased productivity and increased costs, making proactive measures essential. Smart iMATE combines equipment maintenance management systems with generative AI to support maintenance operations in manufacturing environments. By analyzing daily maintenance records, AI can search for similar issues, estimate causes, and suggest recovery procedures, thereby improving the efficiency of maintenance operations. 【Use Cases】 - Anomaly detection in equipment - Identification of failure causes - Suggestion of recovery procedures 【Benefits of Implementation】 - Reduction of downtime - Decrease in maintenance costs - Increased efficiency of maintenance operations

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Equipment Maintenance DX with Smart iMATE for the Automotive Industry

Optimize equipment maintenance and support improved production efficiency.

In the automotive industry, maintaining quality and improving production efficiency are always required. Particularly in manufacturing lines composed of a wide variety of parts, equipment failures can lead to production stoppages and significant losses. Smart iMATE analyzes daily maintenance records using AI to detect signs of potential failures and supports rapid recovery, thereby reducing equipment downtime and contributing to improved production efficiency. 【Usage Scenarios】 - Maintenance management of key equipment such as presses, welding robots, and painting booths in automotive manufacturing plants - Preventive maintenance and response to unexpected failures of production equipment at parts suppliers - Analysis of the correlation between equipment failures and product defects in quality control departments 【Benefits of Implementation】 - Increased production volume due to stable equipment operation - Reduction of losses caused by failures - Streamlining of maintenance operations and cost reduction

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Integrated Maintenance DX of Equipment Maintenance × Generative AI for the Equipment Management Department

An AI-integrated maintenance DX that enhances management and decision-making, not just ending with "recording" equipment maintenance.

This solution is an integrated DX solution that combines equipment maintenance management systems with generative AI support for utilizing maintenance know-how, optimizing maintenance operations in manufacturing sites and maintenance departments from a manager's perspective. It centralizes daily preventive maintenance plans, work performance, and response history during unexpected failures, making maintenance activities "visible." By analyzing and utilizing accumulated maintenance records with generative AI, it assists in searching for similar troubles, estimating causes, and suggesting recovery procedures. Additionally, the input support function in a dialogue format helps suppress record omissions and variations in content. This enhances the quality of maintenance records and allows know-how, which tends to become personalized, to be accumulated as an organizational asset. 【Features】 - Centralization of records and management for preventive and emergency maintenance - Decision support and reduction of recovery time through AI utilization - Standardization of maintenance operations and efficiency in personnel training - Visualization of maintenance status that is easy for managers to understand

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Preventive maintenance of measurement and inspection equipment.

Preventive maintenance plays a crucial role in maintaining the condition of measuring instruments, inspection systems, and measurement devices!

We would like to introduce our "Preventive Maintenance for Measurement and Inspection Equipment" service. Our experts, with years of experience across various industries, can propose highly effective preventive maintenance plans tailored to your installation base. By implementing meticulous preventive maintenance, we can identify and rectify issues before they lead to failures, resulting in cost reductions and increased productivity. 【Benefits】 ■ Reduced downtime ■ Improved accuracy and reliability ■ Extended lifespan ■ Compliance with industry standards and regulations ■ Enhanced data quality and analysis ■ Long-term cost savings *For more details, please refer to the related links or feel free to contact us.

  • Other services
  • Conservation

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On-Demand Seminar: Introduction to Planned Maintenance Course

Optimizing Maintenance Costs from the Basics

●Overview and Objectives - Understand maintenance operations and learn the fundamentals of planned maintenance aimed at optimizing maintenance costs. - Learn from case studies the methods for equipment management and how to promote the optimization of maintenance costs from scratch. - Learn about "visualization methods" to support maintenance management from a managerial perspective.

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Equipment maintenance & electronic document system "FLiPS & i-Reporter"

For those struggling with managing equipment ledgers, inspection plans, repair progress, and repair report history in Excel!

The equipment maintenance management system "FLiPS" is designed to provide a user experience similar to that of Excel. Its intuitive and simple interface allows users who have been managing maintenance tasks with Excel to transition to the system without any discomfort. Additionally, by integrating with the electronic form system "i-Reporter," it reduces the data entry work from paper forms on-site and automatically reflects this data in FLiPS, thereby reducing labor hours. - Centralized management of maintenance information, visualizing trends in failures - Visualization of costs, schedules, and actual performance necessary for equipment maintenance in a calendar format - Ability to understand the frequency and number of unexpected failures, enabling the formulation of maintenance plans that align with actual conditions ◆ For more details, please download the catalog ◆

  • Business Intelligence and Data Analysis
  • Other information systems
  • Conservation

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Bracket crack repair, crack restoration, cast iron crack repair, maintenance.

Repair metal cracks without applying heat! There's no need to worry about using fire on-site or damaging the base material with welding heat! Please feel free to consult us.

The "MS Method (Mechanical Stitch)" is a groundbreaking repair technique (Mechanical Stitch Method) that addresses metal cracks using mechanical methods. Unlike welding repairs that involve heat curing, this method does not apply any heat, thus preventing "thermal distortion." It does not generate residual stress in other areas, preventing secondary damage such as new cracks. 【Features】 ■ No hardening or residual stress due to heat ■ Elimination of secondary damage ■ Maintenance of stable quality → Integrated system repairs using jigs and other tools → Accumulation of know-how, experience, and track record ■ Completion of construction in a short period → Does not significantly reduce the operating rate of equipment ■ Advantages in safety and environmental aspects → Since no fire is used, there is no impact on the operating rate of other equipment or the environment For more details, please contact us or download the catalog.

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Trouble preservation (diagnosis, recovery, analysis - countermeasures, improvement proposals)

With years of accumulated maintenance experience, we provide maintenance support for your equipment! We also assist with documentation for troubleshooting and more.

At the Maintenance Division of M.A.C. Technology Co., Ltd., we provide "Troubleshooting Maintenance (Diagnosis, Recovery, Analysis to Countermeasures and Improvement Proposals)." We utilize our years of accumulated maintenance experience to restore equipment, and after recovery, we strive for stable operation of the equipment. Additionally, we can assist with the documentation of troubleshooting and other processes, so please feel free to contact us if you have any requests. 【Services Offered】 ■ Equipment Recovery ■ Stable Equipment Operation ■ Documentation of Troubleshooting and Other Processes *For more details, please refer to the related links or feel free to contact us.

  • Other contract services
  • Conservation

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Equipment maintenance using TOP PLATE for the energy industry.

Extend the lifespan of components in energy equipment that experience severe wear! Materials are currently available.

In the energy industry, equipment downtime leads to significant losses. Particularly, components used in equipment with long operating hours or in harsh environments such as high temperature and high pressure are prone to wear and deterioration. As wear progresses, the risk of decreased efficiency and equipment failure increases, resulting in unexpected downtime and replacement costs. Our wear-resistant clad steel plate, 'TOP PLATE,' combines high hardness and wear resistance. It can be directly processed for canning, contributing to solving these challenges. 'TOP PLATE' is a clad steel plate with a super wear-resistant alloy welded onto mild steel. It features high hardness and wear resistance, with minimal cracking and distortion, allowing for easy wear prevention when used in equipment components. We offer six types with different compositions and hardness to accommodate a wide range of applications. *We are currently providing materials summarizing product features and usage examples! You can view them via "PDF Download." Please feel free to contact us for inquiries.* [Application Scenes] * Chutes * Hoppers * Fans * Mixers * Mills [Benefits of Implementation] * Extended equipment lifespan * Reduced maintenance costs * Improved operating rates

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  • Special Steel
  • Conservation

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Landscape conservation using Aqua Beam for tourism purposes.

Enhancing the appeal of tourist destinations through water quality purification!

In the tourism industry, beautiful landscapes are important for attracting tourists and enhancing the appeal of a region. In particular, waterfront landscapes significantly influence the value of tourism due to their beauty. However, water pollution can damage these landscapes and decrease tourist satisfaction. Aqua Beam purifies water quality and preserves beautiful landscapes by combining photocatalytic technology and ultrasonic technology. 【Usage Scenarios】 - Lakes, rivers, and ponds in tourist areas - Fountains and water-friendly facilities in parks - Waterfront landscapes visited by tourists 【Effects of Implementation】 - Beautification of landscapes through water quality improvement - Reduction of unpleasant odors - Increased tourist satisfaction - Enhancement of regional brand image

  • Water treatment equipment
  • Conservation

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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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