| Presentation | 2022-06-28 Refrigerant leak detection of air conditioner by deep learning Shinya Komure, Yasuyuki Isobe, Morio Hirahara, Kiguchi Yukio, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The air conditioner is filled with a refrigerant, which is a heat transport medium for cooling and heating air and water. Since most of these refrigerants use chlorofluorocarbons, which is a kind of greenhouse gas, so the problem is that it leaks due to corrosion. In the air conditioning industry, the Japan Refrigeration and Air Conditioning Industry Association established guidelines for refrigerant leak detection systems in May 2021 in order to curb global warming and achieve carbon neutrality. We have constructed a refrigerant leak detection system that complies with the guidelines by utilizing deep learning, and started operation for the first time in 2022. In this paper, we will introduce the deep learning model constructed by learning market operation data, and report the results of studying countermeasures for individual differences in equipment peculiar to mass-produced products. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Air conditioner / Refrigerant leak detection |
| Paper # | NC2022-15,IBISML2022-15 |
| Date of Issue | 2022-06-20 (NC, IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2022/6/27(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroshi Yamakawa(Univ of Tokyo) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Hirokazu Tanaka(Tokyo City Univ.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Hirokazu Tanaka(NTT) / Toshihiro Kamishima(NICT) / Koji Tsuda(NTT) / (Hokkaido Univ.) |
| Assistant | Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Refrigerant leak detection of air conditioner by deep learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Air conditioner |
| Keyword(3) | Refrigerant leak detection |
| 1st Author's Name | Shinya Komure |
| 1st Author's Affiliation | Toshiba Carrier Corporation(TCC) |
| 2nd Author's Name | Yasuyuki Isobe |
| 2nd Author's Affiliation | TOSHIBA DIGITAL SOLUTIONS CORPORATION(TDSL) |
| 3rd Author's Name | Morio Hirahara |
| 3rd Author's Affiliation | Toshiba Carrier Corporation(TCC) |
| 4th Author's Name | Kiguchi Yukio |
| 4th Author's Affiliation | Toshiba Carrier Corporation(TCC) |
| Date | 2022-06-28 |
| Paper # | NC2022-15,IBISML2022-15 |
| Volume (vol) | vol.122 |
| Number (no) | NC-89,IBISML-90 |
| Page | pp.pp.109-114(NC), pp.109-114(IBISML), |
| #Pages | 6 |
| Date of Issue | 2022-06-20 (NC, IBISML) |