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 predictions using AI (artificial intelligence), and proposing optimization plans based on the results.
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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 utilizes data analysis and AI to propose optimal solutions for these various challenges.
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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
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Data Analysis - We categorized the breakers by their usage and visualized the proportion of electricity consumption for each category against the total electricity consumption in the factory. As a result, we found that the electricity consumption for air conditioning systems accounts for more than half of the total.
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Correlation Investigation An analysis of the correlation between 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 outdoor temperature and humidity. However, since it was not a simple correlation, it was anticipated that there are other factors related to the power consumption of the air conditioning system besides outdoor temperature and humidity.
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Daily electricity consumption - Upon checking the graph of electricity consumption for the air conditioning system, it was found that the amount of electricity consumed is somewhat determined by the day of the week.
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It was also found that a large amount of electricity is consumed during the morning hours. In particular, after the winter and summer holidays, the morning hours show a tendency to consume a lot of electricity in a short period of time due to the significant difference between the indoor temperature and humidity and the set temperature and humidity.
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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 air conditioning energy consumption without AI. Therefore, we decided to utilize AI technology for predicting air conditioning energy consumption. By training AI on past data, it has become possible to predict energy consumption one hour ahead.
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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. Iwatuki Software Systems is a 100% subsidiary of Iwasaki Communication Co., Ltd., which manufactures and sells business phones and measuring instruments. While we also develop software for Iwatuki products, we are actively engaged in contract development for external clients as well. Please feel free to consult with us.