One-stop solution for incorporating AI x IoT into machine tools

One-stop solution for embedding AI x IoT in machine tools

With the advancement of IoT, there is a need to not only "connect" various machines, but also to provide new value by utilizing the data obtained from them. It is necessary not only to sell machine tools individually, but also to provide added value to solve problems at manufacturing sites, such as reducing downtime, optimizing maintenance costs, and increasing the efficiency of work processes.
Macnica leverages its experience in solving problems in the manufacturing industry and has the know-how and cutting-edge technology to solve problems for machine tool manufacturers and end users.
We support the creation of solutions suitable for various machine tools, from demonstration experiments to commercialization and maintenance operations, contributing to the creation of new business models.

System image Process integration

By utilizing technologies such as AI and IoT to aggregate data not only for machines but also for the entire factory, we are able to monitor and optimize the operational status of all factories around the world.
By aggregating and visualizing the acquired data in the cloud system, continuous maintenance can be provided to end users.

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Do you have any problems?

I have to work on product development using advanced technology, but I don't know where to start

I want to know the status of AI efforts by machine tool manufacturers

You cannot introduce AI on your own

We want to provide customers with products with high added value

Machine Tools Typical Issues by Type and Approaches to Solutions

Different types of machine tools have different ways of solving problems.
We use the latest and most suitable technology for various machine tools to solve problems and support process optimization.

Types and issues	ダウンタイム削減メンテナンスコスト最適化	Machining precision abnormality detection Work loss reduction
lathe	Spindle predictive maintenance Rack and pinion predictive maintenance	Tool error/wear detection Chuck chip biting detection
Grinder	Spindle predictive maintenance Wheel dressing timing optimization	Whetstone abnormality (clogging, crushed eyes, spilled eyes) Deterioration detection (burn cracks, processing fins) Thermal displacement compensation
gear cutting machine	Spindle predictive maintenance	Tool error/wear detection
machining Center	Captured during warm-up Chip removal automation Spindle/feed axis status trend monitoring/abnormality detection Cutting oil contamination detection	Tool error/wear detection Chatter vibration detection Thermal displacement compensation
electrical discharge machine	Table ball screw predictive maintenance Deterioration detection of wire sending part	Coolant discharge monitoring Abnormal voltage detection during machining
Injection molding machine	Ball screw/motor predictive maintenance Mold clamping shaft strain detection Bush pin wear detection	Screw wear detection

final goal

Optimization of field work processes (future)

Automatic recommendation of optimal machining parameters for input drawings
Remote process error cause detection, remote maintenance
Real-time feedback to machining conditions with machine condition sensing
Index position optimization

of value to the end user,
Building solutions using AI

for machine tool manufacturers
Supporting business model transformation itself

Okamoto Machine Tool Mfg. Co., Ltd. Effort example

``Aiming for a grinder that anyone can easily perform high-precision machining, approaching the behind the scenes of the development project''

One-stop solution for embedding AI x IoT in machine tools

How to proceed with a machine learning project and support system

In order to provide high value-added machine tools to end users, it is essential to introduce technologies such as AI and IoT.
However, this requires a support system with specialized knowledge in each phase.
Macnica has specialists such as data scientists and data sensing engineers who will accelerate the resolution of our customers' problems.

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Macnica 's strengths

Sensing technology

Support for effective data collection according to equipment by engineers from the manufacturing industry who are familiar with on-site equipment

Consulting on appropriate sensor selection and mounting position
Utilization of CNC/PLC data in equipment

Data analysis/AI implementation technology

E (Engineer) qualification specializing in solving problems in the industrial equipment and manufacturing industries * Support by a possessed data scientist

Optimal Algorithm Selection for Problems - AI Generation, Device Implementation
Algorithm tuning according to a wide range of user environments (instrumental differences, machining conditions, target workpieces, etc.)

A wide variety of mounting destinations

Wide coverage from edge computing terminals and industrial PCs to component level (CPU, PGA, GPU)
*Qualification E: A person who understands the theory of deep learning and has the ability to select and implement appropriate methods, certified by the Japan Deep Learning Association.

Images of data analysis and AI implementation technology

Unique to technology trading company Macnica. Built-in support centered on our own products

Adopting trends in cutting-edge technology, commercialization, and incorporation of AI IoT into mass-produced equipment

Semiconductor sensor-based low-cost, waterproof, compact vibration pickup “AVP”
Sensor data collection Edge computing terminal ”SENSPIDER”
Original OPC UA Server SDK (Industrie 4.0 compliant)

Image of built-in support centered on in-house products

*Products handled on this page may have changed. Please contact us for details.

Technical Exchange Meeting 2020 Lecture Report

"Digital Transformation of Machine Tools and the Road to Service to Generate New Revenue Sources" was held.
How does a machine tool manufacturer using digital technology transform from selling products to selling products?
You can see the materials of the session on the day.

Participatory panel discussion "Key persons in the industry approach the essence of digital innovation in machine tools"

Key technology that drives digital transformation
*Materials available on the day

Competing with the world through value change ~The reason why Ise's long-established restaurant "Ebiya" was able to transform into the world's leading AI company "EBILAB"~
*Materials available on the day