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soft Product List and Ranking from 2410 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

soft Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. B7 Tokyo//software
  2. ヒューリンクス Tokyo//software
  3. スカイロジック Shizuoka//software
  4. 4 ウェーブフロント 本社 Kanagawa//software
  5. 5 システムクリエイト Osaka//Industrial Machinery
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soft Product ranking

Last Updated： Aggregation Period:Sep 16, 2026～Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. AI/Navi-equipped Business Automation RPA 'RK Series'
  2. Patsnap Synapse | Pharmaceutical R&D Intelligence パトコア
  3. [マルスゴ]自由なカーブをメッシュ表面に直接作図 システムクリエイト
  4. 4 Aspen Plus process simulation software アスペンテックジャパン/AspenTech
  5. 5 Simulation Conference Japan 2026 日本ケイデンス・デザイン・システムズ社

soft Product List

9781～9810 item / All 11211 items

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Utilization of Similar Shape Search for the Automotive Production Technology Department

Utilization of Similar Shape Search for the Automotive Production Technology Department

Automotive jig and equipment design also utilizes past assets through similar shape search.

For the automotive sector: We address the challenge of not being able to find past designs of similar jigs and equipment in the production technology department, leading to new considerations each time, by utilizing the similar shape search function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick access to necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that previously relied on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

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Standardization through the reuse of automotive parts design data.

Standardization through the reuse of automotive parts design data.

Promote the standardization of parts in collaboration with the purchasing department by reusing automotive component design data.

For the automotive sector: We address the challenge of not being able to reduce costs due to the repeated purchase and design of similar parts from scratch, which hinders parts standardization, through the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing for quick access to necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements according to design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of design quality variability and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Collaboration of PLM in automotive parts and utilization of 3D CAD data

Collaboration of PLM in automotive parts and utilization of 3D CAD data

Integrating automotive parts PLM with 3D CAD data to eliminate the fragmentation of design information.

For automotive parts: We will solve the issue of disconnected information between core systems like PLM and 3D CAD data with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Shortening the design period by reusing shipbuilding design data.

Shortening the design period by reusing shipbuilding design data.

Reuse shipbuilding design data to shorten the period from design to production preparation.

For shipbuilding: To address the challenge of not being able to utilize past design data and having to start design and production preparation from scratch each time, we solve this with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly search for necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Standardization through the reuse of design data for shipbuilding components.

Standardization through the reuse of design data for shipbuilding components.

Promote the standardization of parts in collaboration with the purchasing department by reusing shipbuilding component design data.

For shipbuilding: We solve the issue of not being able to reduce costs due to the continuous need to purchase and design similar parts from scratch, which hinders the standardization of parts, through the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Collaboration of PLM in shipbuilding and utilization of 3D CAD data

Collaboration of PLM in shipbuilding and utilization of 3D CAD data

Integrate shipbuilding PLM and 3D CAD data to eliminate the fragmentation of design information.

For shipbuilding: We will solve the issue of disconnected information between core systems such as PLM and 3D CAD data with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transfer of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Standardization through the reuse of design data for aircraft components.

Standardization through the reuse of design data for aircraft components.

Promote the standardization of parts in collaboration with the purchasing department by reusing design data for aircraft components.

For aircraft components: We address the challenge of not being able to reduce costs due to the continuous purchase and design of similar parts from scratch, which hinders part standardization, by utilizing the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

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Accumulating veteran tacit knowledge as organizational knowledge for logistics equipment.

Accumulating veteran tacit knowledge as organizational knowledge for logistics equipment.

It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the logistics machinery industry and transforms them into organizational knowledge that can be referenced at any time.

For logistics equipment: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of business, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. 【Usage Scenarios】 ■ Preserve judgment criteria and experiential knowledge as knowledge before veterans retire or transfer. ■ Allow younger employees and members from other departments to independently search and reference past judgment bases. ■ Identify risks early from project documents during the design and production preparation stages. ■ Respond quickly to issues based on similar cases and countermeasures when troubles arise. 【Implementation Effects】 ■ Visualization and inheritance of previously personalized judgment criteria. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for trouble response.

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Accumulating veteran tacit knowledge as organizational knowledge for casting.

Accumulating veteran tacit knowledge as organizational knowledge for casting.

It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the casting industry and transforms them into organizational knowledge that can be referenced at any time.

For casting: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions that address various aspects of operations, such as risk detection in project documents, linked searches between 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allowing younger employees and members from other departments to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Rapid response to issues based on similar cases and countermeasures when troubles arise. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searching but also understanding "why." - Reduction of rework through early risk detection. - Shortening of lead time for trouble response.

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Accumulating veteran tacit knowledge as organizational knowledge for robotics.

Accumulating veteran tacit knowledge as organizational knowledge for robotics.

It is a general-purpose AI that naturally accumulates the experiences and judgment criteria of veterans in the robotics industry and transforms them into organizational knowledge that can be referenced at any time.

For Robotics: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches between 3D drawings and knowledge, and presenting similar cases during troubleshooting. [Usage Scenarios] ■ Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. ■ Allow younger employees and members from other departments to independently search and reference past judgment bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly to issues based on similar cases and countermeasures when problems arise. [Implementation Effects] ■ Visualization and inheritance of judgment criteria that were previously personalized. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for troubleshooting responses.

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Accumulating veteran tacit knowledge as organizational knowledge for precision machining.

Accumulating veteran tacit knowledge as organizational knowledge for precision machining.

It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the precision machining industry and transforms them into organizational knowledge that can be referenced at any time.

For precision machining: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experiences and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, linked searches between 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] ■ Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans ■ Allowing younger or other department members to independently search and reference past judgment bases ■ Early identification of risks from project documents during the design and production preparation stages ■ Rapid response to troubles based on similar cases and countermeasures [Implementation Effects] ■ Visualization and inheritance of judgment criteria that had become personalized ■ Utilization of knowledge that not only allows for searches but also explains "why" ■ Reduction of rework through early detection of risks ■ Shortening of lead time for trouble response

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Accumulating veteran tacit knowledge as organizational knowledge for pumps.

Accumulating veteran tacit knowledge as organizational knowledge for pumps.

It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the pump industry and transforms them into organizational knowledge that can be referenced at any time.

For pumps: The general knowledge AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches between 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allowing younger employees and members from other departments to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Rapid response to issues based on similar cases and countermeasures when problems arise. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead time for trouble response.

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Examples of measures to address insufficient training data: Generation of 3D datasets.

Examples of measures to address insufficient training data: Generation of 3D datasets.

An example of generating a dataset with pseudo-defects using 3D rendering software. It enables the generation of extremely rare defect images and allows for verification in various patterns.

The "Rist Image AI Research Commission Service" is a service that fully undertakes image AI development for companies' product and service development and R&D departments. It has the potential to solve projects that could not be realized solely with in-house technology and long-standing technical challenges that have remained unresolved. 【AI Development Example: Generating a Dataset with Pseudo Defects Using 3D Rendering Software】 ■ Generate a 3D dataset for building and validating an anomaly detection model ■ Render a diverse range of high-resolution datasets using POV-Ray ■ Generate defect images that occur very rarely, allowing for validation across various patterns <Generation Points> ・Adjust wood grain and size for each image to create diverse image data ・Reproduce common types of defects in manufacturing, such as "dirt," dents, scratches, and chips *For more details, please refer to the PDF document or feel free to contact us.

  • Company：Rist
  • Price：Other
  • Other contract services
  • Other services
  • Image Processing Software
  • soft

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AI appearance inspection capable of handling a wide range of products *Documentation with case studies available.

AI appearance inspection capable of handling a wide range of products *Documentation with case studies available.

Capable of handling various products such as metal parts, substrates, fibers, and food! Only a small amount of training samples is needed. An AI visual inspection software that can be implemented immediately at a low cost.

Due to the recent labor shortage, many factories are struggling with a lack of inspection personnel. While there is a strong demand for automation, image processing inspections using AI technology require complex rule settings and the collection of a large number of defective product samples, making the barriers to implementation quite high. The AI visual inspection software "Gemini eye" employs a unique technology that can calculate the degree of abnormalities without being affected by variations in product accuracy or misalignment. It requires no complex settings and can detect defects such as scratches, burns, imprint failures, black spots, cracks, and chips by simply memorizing around a few dozen training data. 【Features】 - Learning time is approximately 2 to 3 hours - Immediate implementation is possible by connecting a USB to a PC - No complex settings are required; just memorize the good products - Applicable to a wide variety of product inspections, including mechanical parts, textiles, and food ★ You can view materials that include case studies from the "PDF Download." Trial versions are also available upon request. Please feel free to contact us.

  • Image Processing Software
  • Visual Inspection Equipment
  • Other inspection equipment and devices
  • soft

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I’m tired of going to the office for paper! Easily digitize FAXes and handwritten slips!

I’m tired of going to the office for paper! Easily digitize FAXes and handwritten slips!

Handwritten is also OK! You can match and correct more efficiently! You can choose the data input method and the data destination!

Are you facing any of these issues with document sorting tasks and business flow automation? ■ Struggling to keep up with the regular organization of documents... registering documents is time-consuming. ■ Manufacturing-related documents such as specifications, process charts, and drawings are scattered, making searches time-consuming. ■ Orders and requests received by fax are stored in binders, but organizing and searching them is difficult. For those in such situations, we introduce "KYOCERA Capture Manager," which automates document sorting according to your business processes and streamlines the sorting and data entry tasks for paper documents like forms and invoices! With "KYOCERA Capture Manager," you can extract text, images, and barcode information from documents in bulk and automatically sort them based on that information. It digitizes received fax documents, sorts them into folders by sender information and reception date, and performs renaming processes while automatically generating any non-existent folders. If you link the destination folders to a cloud service, you can check received fax documents even while on the go. *Case studies are available! Please download the PDF for more details.*

  • Multifunction printer
  • LAN construction and wiring work
  • Scanner
  • soft

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CEW-M4 Server Room Monitoring Software

CEW-M4 Server Room Monitoring Software

Centralize Energy and Environmental Monitoring and Detect Abnormalities Earlier

Server-room and rack monitoring requires continuous visibility into power, temperature, humidity, and equipment conditions. CEW-M4 collects both energy and environmental data, displays it in web-based graphs, and helps operators detect abnormalities early. Use cases • Server-room temperature and humidity • Rack-level current and energy consumption • Threshold notifications around communications equipment Business benefits • Earlier detection of temperature rise and overload • Graphical status review • Reduced routine monitoring workload

  • server
  • Server Rack
  • LAN construction and wiring work
  • soft

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CEW-M4 Energy and Environmental Monitoring Software for Communications Equipment

CEW-M4 Energy and Environmental Monitoring Software for Communications Equipment

Centralize Energy and Environmental Monitoring for Faster Operational Insight

For remote power-infrastructure monitoring, stored data and before/after comparisons improve operational decisions. CEW-M4 stores and displays sensor data and supports CSV export, comparison graphs, and virtual-sensor calculations for energy aggregation, temperature/humidity analysis, and PUE-related evaluation. Use cases • Remote communications facilities • Centralized energy and environmental monitoring across multiple sites • Alerts and alarm emails Business benefits • Faster understanding before a site visit • Centralized site-by-site dashboards • Better-informed initial response

  • server
  • Server Rack
  • LAN construction and wiring work
  • soft

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Centralized monitoring of data center power and temperature/humidity via browser | Software

Centralized monitoring of data center power and temperature/humidity via browser | Software

Energy and environmental monitoring software "CEW-M4" compatible with up to 20,000 points.

With the expansion of data centers and server rooms, is the monitoring information for power, temperature, humidity, and other factors dispersed across multiple devices and screens? When information is scattered, it increases the need for on-site inspections, visual confirmations, and individual checks by responsible personnel, making it time-consuming to grasp the equipment's status. The CEW-M4 is an energy and environmental monitoring software that consolidates equipment data such as current, power, energy consumption, temperature, and humidity onto a web interface, allowing centralized monitoring of up to 20,000 points. 【Do you face any of the following challenges?】 - Monitoring screens for power meters, temperature and humidity sensors, etc., are dispersed. - Relying on on-site inspections and visual checks to confirm equipment status. - Wanting to add monitoring targets in line with the expansion of racks and equipment. 【Expected benefits from implementation】 - Consolidation of dispersed equipment information onto a web interface. - Reevaluation of monitoring tasks that depend on on-site inspections and visual confirmations. - Increased efficiency in verification tasks through graphs, maps, and alarm history. Please download the materials to check the compatible devices, connection configurations, and images of the monitoring screens.

  • Software (middle, driver, security, etc.)
  • Server monitoring and network management tools
  • UPS/Uninterruptible Power Supply
  • soft

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Centralized monitoring of power, temperature, and humidity in data centers | Monitoring software

Centralized monitoring of power, temperature, and humidity in data centers | Monitoring software

Utilizing existing sensors and PLCs to consolidate equipment information on a web interface.

In data centers and server rooms, information such as power, temperature and humidity, and equipment status can be dispersed across different devices and monitoring systems. When information is split across multiple screens, it takes time to confirm issues when abnormalities occur, and expanding the monitoring range due to equipment additions can become complicated. CEW-M4 is software that aggregates data obtained from existing sensors, PLCs, and Modbus-compatible devices, allowing for centralized monitoring via a web browser. It displays current, power, energy, temperature, and humidity together, and supports early detection of abnormalities, initial decision-making, and post-response situation confirmation through alarm, history, graph, and map functions. [Challenges] - Information on power and temperature and humidity is dispersed across multiple screens. - I want to quickly confirm the equipment or location where an abnormality has occurred. - I want to check data before and after the occurrence of an abnormality in graph form. - I want to aggregate equipment information from multiple floors or locations. [Implementation Effects] - Confirm dispersed equipment data on a single screen. - Support understanding the situation and initial decision-making before on-site confirmation. - Understand abnormal locations and changes before and after occurrences. - Build a monitoring environment that utilizes existing equipment. - Gradually expand the monitoring range according to equipment additions. - Visualize power and temperature and humidity data.

  • Server monitoring and network management tools
  • Software (middle, driver, security, etc.)
  • Other server related
  • soft

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Visualizing equipment abnormalities on the factory layout | CEW-M4 map display

Visualizing equipment abnormalities on the factory layout | CEW-M4 map display

Displays measurement values and alarm statuses on equipment layout diagrams and circuit diagrams. It supports the understanding of equipment and locations where abnormalities occur, as well as the efficiency of on-site verification.

When there are numerous devices and sensors within a factory, simply receiving an alarm may not allow for immediate judgment of the installation location of the target device or the surrounding conditions. Relying solely on the device name or sensor number for verification may require searching for diagrams or inquiring with personnel about the installation location, which can take time before on-site confirmation can occur. By utilizing the map display function of the monitoring software "CEW-M4," measurement values and alarm statuses can be displayed on any image, such as the factory layout, equipment arrangement diagrams, circuit diagrams, and photos of control panels. Since measurement values like current, power, energy, temperature, and humidity can be associated with the actual equipment locations, when an alarm occurs, the target equipment and installation location can be confirmed on the map, which can also help narrow down the equipment or areas that need to be checked on-site. [Challenges] Even when an alarm occurs, the installation location of the target equipment is not immediately clear. It is difficult to grasp the positional relationship with the site relying only on the device name or sensor number. [Effects of Implementation] Confirm the alarm-triggering equipment and installation location on the factory layout. Organize the monitoring screen clearly by associating measurement values with equipment locations. For more details, please download the PDF document or contact us.

  • Power Monitoring Equipment
  • Demand Monitoring
  • Server monitoring and network management tools
  • soft

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Record and share equipment inspection data in CSV format | Monitoring Software CEW-M4

Record and share equipment inspection data in CSV format | Monitoring Software CEW-M4

Aggregate the history of current, power, and temperature/humidity and output it as CSV. It supports the efficiency of inspection records and equipment comparison.

Managing measurement values from equipment inspections on paper or in individual files can take time when searching for past data or comparing equipment. CEW-M4 is monitoring software that collects data such as current, power, energy, temperature, and humidity, allowing users to check the history on a web interface. Measurement logs and statistical data can be output in CSV format, which can be utilized for creating inspection records and reporting materials. 【Challenges】Records are dispersed / Want to streamline transcription and aggregation / Want to compare past data 【Implementation Benefits】Supports centralization of history, secondary use through CSV, and sharing among responsible personnel.

  • Software (middle, driver, security, etc.)
  • Other operation management software
  • Server monitoring and network management tools
  • soft

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Check the history before and after the occurrence of equipment alarms | Monitoring Software CEW-M4

Check the history before and after the occurrence of equipment alarms | Monitoring Software CEW-M4

Check alarms, graphs, and measurement history on the same screen. It supports organizing the situation and initial response during equipment abnormalities.

Even if you receive an equipment alarm, it can be difficult to determine what to check on-site if you cannot confirm the measurement values before and after the occurrence. CEW-M4 supports monitoring upper and lower limits of measurement values, alarm display, email notifications, alarm history, and time-series graphs. You can check the changes in data before and after the alarm and organize the inspection targets and verification content. [Challenge] I want to confirm the changes before and after the alarm / I want to aggregate information during the initial response. [Implementation Effect] It supports centralized confirmation of alarms and history, narrowing down targets before on-site checks, and reflecting on actions taken afterward.

  • Power Monitoring Equipment
  • Demand Monitoring
  • Server monitoring and network management tools
  • soft

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Check the load of similar equipment with a comparison graph | CEW-M4

Check the load of similar equipment with a comparison graph | CEW-M4

Compare measurement values from multiple devices and lines on the same graph. You can confirm differences in load trends and the effects of operational changes.

To compare the operating status of identical equipment and multiple lines, an environment where measurement values can be checked on the same time axis is helpful. The CEW-M4 displays multiple current, power, and temperature-humidity data in comparative graphs, allowing users to confirm load trends for each piece of equipment and differences by time period. [Challenges] Switching between screens for each piece of equipment / Wanting to understand the differences between identical equipment / Wanting to compare the effects of operational changes [Implementation Effects] Streamlines comparisons between equipment and lines, supporting the organization of targets for verification and candidates for improvement.

  • Demand Monitoring
  • Power Monitoring Equipment
  • Server monitoring and network management tools
  • soft

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Fully Automatic Body Mesh Generation Software 'FORTUNA_Phoenix'

Fully Automatic Body Mesh Generation Software 'FORTUNA_Phoenix'

Automatically generate a mesh that fits the parameters for the shape read by shape recognition technology!

"FORTUNA_Phoenix" is a body mesh generation software that allows anyone to automatically create expert-level meshes. The GUI operation requires only three steps to output results automatically. Additionally, if the minimum element length can no longer be maintained, it automatically moves the detected movable endpoints based on the surrounding conditions to uphold the minimum element length. 【Effects】 ■ Anyone can create the same mesh ■ Meshes are automatically created while adhering to rules ■ A software robot that operates unmanned day and night (FORTUNA_Phoenix handles all processing automatically) *For more details, please refer to the PDF document or feel free to contact us.

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

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[Case Study of Production Management System Implementation] Streamlining Analog Management Operations with a System

[Case Study of Production Management System Implementation] Streamlining Analog Management Operations with a System

Escape from management through handwritten ledgers! Achieve simplification of operations with Speedy!

We would like to introduce a case study of the implementation of the production management system "Speedy Neo" at Igarashi Seiko Co., Ltd., which specializes in parts processing. The company was facing a situation where similar drawings were coming in one after another from customers, making it difficult to track when and for which client the work was done, as well as to compare the estimated costs with the actual processing costs. Previously, the flow from estimation to order receipt, delivery note, and invoice was created individually, but after the implementation, it became possible to manage everything collectively, leading to more efficient management. [Case Overview] ■ Challenge: Similar drawings were coming in one after another, making it difficult to track when and for which client the work was done, and to compare the estimated costs with the actual processing costs. ■ Implementation Effect: Enabled collective management of the flow from estimation to order receipt, delivery note, and invoice. ■ Implemented System: Production management system "Speedy Neo" *For more details, please feel free to contact us.

  • Production Management System
  • soft

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We will visualize and quantify the effects of health machines (thermal, hydrogen and oxygen inhalation devices).

We will visualize and quantify the effects of health machines (thermal, hydrogen and oxygen inhalation devices).

We visualize and quantify the effects of blood flow changes using our health devices (thermal, hydrogen-oxygen inhalation machine) with the GOKO Bscan-ZD capillary scope.

- Optical magnification of 720 times. Amazing clarity! - Our unique anti-reflection observation method (patent pending) - Autoclavable - Connects to a computer with a single USB bus power - Remote observation is also possible with the Zoom app - Over 3,000 units of the series introduced since 2006 - Contributing to clinical research with quantification and publication software - Both hardware and software have international academic papers - Clear observation in the same mode anywhere on the body - Development, manufacturing, and sales all in-house with a consistent system

  • Microscope
  • soft

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PC for operating the shock analysis software 'Radioss' for the automotive industry

PC for operating the shock analysis software 'Radioss' for the automotive industry

Quickly perform collision, drop, and destruction analysis to improve automobile safety.

In the automotive industry, safety is one of the most important issues. To enhance occupant protection performance during collisions, it is necessary to accurately understand the vehicle's collision and destruction behavior and reflect this in the design. There is a demand to visualize behaviors under extreme conditions, which are difficult to reproduce through experiments alone, digitally, enabling safety and reliability evaluations without relying on prototypes or actual tests. Altair Radioss is software that accurately reproduces high-speed and large deformation phenomena such as collisions, drops, and destruction, contributing to reduced development costs and improved product quality. 【Application Scenarios】 - Automotive collision safety design - Evaluation of occupant protection performance during collisions - Evaluation of parts' impact resistance - Strength evaluation of vehicle body structures 【Effects of Implementation】 - Reduction of collision analysis time - Shortening of design cycles - Improvement of product safety - Reduction of development costs

  • Radioss?.png
  • Radioss?.png
  • Structural Analysis
  • Thermo-fluid analysis
  • soft

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PC for operation of the collision analysis software 'HYCRASH' for the automotive industry

PC for operation of the collision analysis software 'HYCRASH' for the automotive industry

Automatically generate initial conditions for Ansys LS-DYNA! Quickly respond to vehicle design changes.

In the automotive industry, ensuring collision safety is the top priority. Since vehicle design changes occur frequently, a rapid response is required. To enhance the accuracy of collision analysis, it is essential to consider the initial conditions of press-formed materials, such as sheet thickness and plastic strain. However, traditional analysis methods necessitate changes to the analysis model and re-simulation with each design change, hindering quick responses. HYCRASH addresses this issue by automatically generating initial conditions for Ansys LS-DYNA. 【Usage Scenarios】 - Collision analysis in automotive manufacturers - Rapid analysis response during design changes - Utilization of press forming simulation results 【Benefits of Implementation】 - Improved analysis accuracy - Reduced design period - Efficient response to design changes

  • HYCRASH3.JPG
  • HYCRASH2.JPG
  • Structural Analysis
  • Mechanism Analysis
  • Analysis Services
  • soft

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