AI closely related to the manufacturing site (trend analysis and forecasting)
We will reduce power consumption, optimize work processes, and address various challenges in the production site by extracting trends through data analysis, conducting trend analysis and forecasting using AI (artificial intelligence), and proposing optimization plans based on the results.
Inquire About This Product
basic information
In the production site, there is a demand for labor-saving and efficiency improvements in various aspects. - Reduction of peak power consumption - Optimization of air conditioning operation - Optimization of production lines - Reduction of human errors - Optimization of inventory, etc. Our company proposes optimal solutions to these various challenges by utilizing data analysis and AI.
Price range
Delivery Time
Applications/Examples of results
If you have any questions, requests for explanations, or if you would like to discuss AI and machine learning, please feel free to contact us. Additionally, we also provide education and consulting services in AI and machine learning.
Detailed information
-
Data Analysis - We categorized the breakers by their usage and visualized the proportion of each category's power consumption relative to the total power consumption in the factory. As a result, we found that the power consumption of the air conditioning system accounts for more than half of the total.
-
Correlation Investigation An analysis of the correlation between the outdoor temperature and humidity and the power consumption of each breaker revealed that there is a certain degree of correlation between the power consumption of the air conditioning system and the outdoor temperature and humidity. However, since it was not a simple correlation, it can be inferred that there are other factors related to the power consumption of the air conditioning system in addition to outdoor temperature and humidity.
-
Daily electricity consumption - Upon checking the graph of electricity consumption for the air conditioning system, it was found that the amount of electricity consumed varies to some extent depending on the day of the week.
-
It was also found that a large amount of electricity is consumed during the morning hours. In particular, after long weekends in winter and summer, there is a significant difference between the indoor temperature and humidity and the set temperature and humidity, which tends to result in high electricity consumption in a short period of time.
-
Utilization of AI There is a complex relationship in which factors such as day of the week, time of day, outdoor temperature and humidity, and indoor temperature and humidity influence each other, leading us to believe that it may not be possible to predict future energy consumption of air conditioning systems without AI. Therefore, we decided to utilize AI technology for predicting the energy consumption of air conditioning systems. By training on past data with AI, it has become possible to predict energy consumption one hour ahead.
catalog（1）
Download All Catalogs
Company information
We have over 35 years of experience and achievements in software development. We provide various services ranging from open systems to embedded software development. Iwatsu Software Systems is a 100% subsidiary of Iwatsu Electric Co., Ltd., which manufactures and sells business phones and measuring instruments. While we also develop software for Iwatsu products, we actively engage in contract development for external clients as well. Please feel free to consult with us.