Wind Power AI
De-post processing "no way" detected and notified in advance
The wind power generation industry has many issues to deal with, such as the occurrence of downtime due to wind turbine failure, the social impact of failures and accidents, and the lack of maintenance personnel.
Arithmer contributes to "smart security" using AI image analysis technology.
Do you have any problems?
Due to generator failure
Downtime occurs
in wind power accidents
social impact
Lack of maintenance personnel
Retail AI solves such challenges
Wind power AI is for yousolve the problem
Characteristics of wind power AIlong
Using AI for image inspection in wind power,
Detect signs of equipment failure
A camera is installed inside the nacelle of the wind power generation to acquire image data at all times.
24 hours a day, 365 days a year, images are constantly being acquired, making it possible to discover signs of failure before they occur.
Since it learns the normal state,
Detects all kinds of "abnormalities"
To do.
Arithmer solves various social issues with AI / IT technology
The installed camera and AI system
to constantly monitor
We can solve the shortage of human resources.
Arithmer is home to many talented researchers from various fields
※The image is an image
wind power plant
Predictive maintenance/abnormality detection
We will realize "smart security" by replacing monthly patrols with real-time monitoring by AI.
INPUT
-
Surveillance camera image
AI system
-
unsupervised learning
-
of the learning model inferred from creationOne-stop untilrun on top
OUTPUT
-
daily report
-
Anomaly Report
Recommendations Based on Personal Preferences
It can be used to quickly estimate the source of gas leakage when gas leakage occurs.
INPUT
-
visualized gasleak image
-
weather conditions
-
design drawing
AI system
-
Gas diffusion source identificationAI system
OUTPUT
-
Specified result of gas diffusion source
※The image is an image
※The image is an image
Matching Customer Needs and Seeds
An Optimized AI Recommendation System
We consolidate customer data scattered within the bank and create a proprietary database. Based on this database, we propose optimal matching by combining customer needs and seeds, offering solutions for sales expansion and securing suppliers and outsourcing partners.
INPUT
-
Surveillance camera image
AI system
-
unsupervised learning
-
of the learning model inferred from creationOne-stop untilrun on top
OUTPUT
-
daily report
-
Anomaly Report
