[CHEN WEN-LIANG, CHEN LUNG-CHIEH, CHEN SZU-CHIA, CHEN WEI-HAN, CHU CHUN-YU, SHIH YU-CHI, CHANG YU-CI, HSIEH TZU-I, CHEN YEN-LING, PENG LI-CHI, LEE MENG-ZHAN, HO JUI-YU, KU CHI-YAO, DENG NIAN-RUEI, CHAN YUAN-YAO, WANG ERICK, YEN TAI-HSIANG, CHIU SHAO-YU, LIN JIUN-YI, LIN YUN-WEI, NG FUNG LING, LIN YI-BING, WANG CHIN-CHENG, LEE HSIAO-CHING] TW An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

[Yen Le LEE, Yen-Yu CHEN, Wei Chih CHEN, Tai Hsiang LIAO, Kai-Ping CHAN] TW Hsinchu An overhead transport vehicle is described for association with an Automated Material Handling System (AMHS). The overhead transport vehicle provides features to the AMHS by which the AMHS is able to reduce a number of manual urgent lot rescues by the fab operator when a logistic algorithm controlling traffic in the AMHS is unable to transport the front opening unified pods (FOUP) from one tool to the subsequent tool in the sequence of the process steps within the q-time due to unexpected problems. An indicator on the overhead transport vehicle which helps the fab operator with spotting a lot in trouble is described. A backup power source on the overhead transport vehicle used in case of a main power failure is also described.

[Yen Le LEE, Yen-Yu CHEN, Wei Chih CHEN, Tai Hsiang LIAO, Kai-Ping JHAN] TW Hsinchu An overhead transport vehicle is described for association with an Automated Material Handling System (AMHS). The overhead transport vehicle provides features to the AMHS by which the AMHS is able to reduce a number of manual urgent lot rescues by the fab operator when a logistic algorithm controlling traffic in the AMHS is unable to transport the front opening unified pods (FOUP) from one tool to the subsequent tool in the sequence of the process steps within the q-time due to unexpected problems. An indicator on the overhead transport vehicle which helps the fab operator with spotting a lot in trouble is described. A backup power source on the overhead transport vehicle used in case of a main power failure is also described.

[Yen Le Lee, Yen-Yu Chen, Wei Chih Chen, Tai Hsiang Liao, Kai-Ping Chan] TW Hsinchu An overhead transport vehicle is described for association with an Automated Material Handling System (AMHS). The overhead transport vehicle provides features to the AMHS by which the AMHS is able to reduce a number of manual urgent lot rescues by the fab operator when a logistic algorithm controlling traffic in the AMHS is unable to transport the front opening unified pods (FOUP) from one tool to the subsequent tool in the sequence of the process steps within the q-time due to unexpected problems. An indicator on the overhead transport vehicle which helps the fab operator with spotting a lot in trouble is described. A backup power source on the overhead transport vehicle used in case of a main power failure is also described.

[CHEN WEN-LIANG, CHEN LUNG-CHIEH, CHEN SZU-CHIA, CHEN WEI-HAN, CHU CHUN-YU, SHIH YU-CHI, CHANG YU-CI, HSIEH TZU-I, CHEN YEN-LING, PENG LI-CHI, LEE MENG-ZHAN, HO JUI-YU, KU CHI-YAO, DENG NIAN-RUEI, CHAN YUAN-YAO, WANG ERICK, YEN TAI-HSIANG, CHIU SHAO-YU, LIN JIUN-YI, LIN YUN-WEI, NG FUNG LING, LIN YI-BING, WANG CHIN-CHENG, LEE HSIAO-CHING] TW

[Wen-Liang Chen, Lung-Chieh Chen, Szu-Chia Chen, Wei-Han Chen, Chun-Yu Chu, Yu-Chi Shih, Yu-Ci Chang, Tzu-I Hsieh, Yen-Ling Chen, Li-Chi Peng, Meng-Zhan Lee, Jui-Yu Ho, Chi-Yao Ku, Nian-Ruei Deng, Yuan-Yao Chan, Erick Wang, Tai-Hsiang Yen, Shao-Yu Chiu, Jiun-Yi Lin, Yun-Wei Lin, Fung Ling Ng, Yi-Bing Lin, Chin-Cheng Wang] TW Hsinchu City An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

[LEE YEN-LE, CHEN YEN-YU, CHEN WEI-CHIH, LIAO TAI-HSIANG, CHAN KAI-PING] TW An overhead transport vehicle is described for association with an Automated Material Handling System (AMHS). The overhead transport vehicle provides features to the AMHS by which the AMHS is able to reduce a number of manual urgent lot rescues by the fab operator when a logistic algorithm controlling traffic in the AMHS is unable to transport the front opening unified pods (FOUP) from one tool to the subsequent tool in the sequence of the process steps within the q-time due to unexpected problems. An indicator on the overhead transport vehicle which helps the fab operator with spotting a lot in trouble is described. A backup power source on the overhead transport vehicle used in case of a main power failure is also described.

[LEE YEN-LE, CHEN YEN-YU, CHEN WEI-CHIH, LIAO TAI-HSIANG, CHAN KAI-PING] TW

[Wen-Liang Chen, Lung-Chieh Chen, Szu-Chia Chen, Wei-Han Chen, Chun-Yu Chu, Yu-Chi Shih, Yu-Ci Chang, Tzu-I Hsieh, Yen-Ling Chen, Li-Chi Peng, Meng-Zhan Lee, Jui-Yu Ho, Chi-Yao Ku, Nian-Ruei Deng, Yuan-Yao Chan, Erick Wang, Tai-Hsiang Yen, Shao-Yu Chiu, Jiun-Yi Lin, Yun-Wei Lin, Fung Ling Ng, Yi-Bing Lin, Chin-Cheng Wang] TW Hsinchu An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

[SHIH CHUN-CHAO, CHOU TZU-CHI, WANG TAI-HSIANG, LIN YEN-CHUN] TW