Abstract: A device for manufacturing dimethyl carbonate including a reaction section and a separation section is provided. The reaction section includes a first distillation column, a methanol supply device, a carbon dioxide supply device, a dehydrating agent supply device, and a side reactor. The methanol supply device is connected to the first distillation column. The carbon dioxide supply device is connected to the first distillation column. The dehydrating agent supply device is connected to the first distillation column. A feed nozzle of the side reactor is connected to a gas outlet of a top of the first distillation column. A discharge nozzle of the side reactor is connected to a recycle nozzle of the first distillation column. A catalyst is disposed in the side reactor. The separation section includes a second distillation column. The second distillation column is connected to a liquid outlet of a bottom of the first distillation column.

Abstract: A device for manufacturing dimethyl carbonate including a reaction section and a separation section is provided. The reaction section includes a first distillation column, a methanol supply device, a carbon dioxide supply device, a dehydrating agent supply device, and a side reactor. The methanol supply device is connected to the first distillation column. The carbon dioxide supply device is connected to the first distillation column. The dehydrating agent supply device is connected to the first distillation column. A feed nozzle of the side reactor is connected to a gas outlet of a top of the first distillation column. A discharge nozzle of the side reactor is connected to a recycle nozzle of the first distillation column. A catalyst is disposed in the side reactor. The separation section includes a second distillation column. The second distillation column is connected to a liquid outlet of a bottom of the first distillation column.

Abstract: A system and a method for treating salt-containing glycerin wastewater are provided, wherein the system for treating the salt-containing glycerin wastewater includes a mixing tank, a filtering device, a distillation column, and a water supply device. The mixing tank is adapted to mix salt-containing glycerin wastewater with a concentrated hydrochloric acid to obtain a mixture. The filtering device communicates with the mixing tank and filters the mixture to obtain an acidic filtrate and a precipitated salt. The distillation column communicates with the filtering device and receives the acidic filtrate from the filtering device. The water supply device supplies water to the acidic filtrate. The system and method for treating the salt-containing glycerin wastewater can effectively recycle hydrochloric acid.

Abstract: A system and a method for capturing carbon dioxide (CO2) used for capturing CO2 of a CO2-containing gas are provided. The system for capturing CO2 includes at least one CO2 absorption tower, a stripper, a first flash drum, and a compressor. The CO2 absorption tower has an absorbent. The stripper is connected to a liquid outlet of the CO2 absorption tower. The first flash drum is connected to a liquid outlet of the stripper. The compressor is connected between a gas outlet of the first flash drum and a gas inlet of the stripper.

Abstract: A system and a method for treating salt-containing glycerin wastewater are provided, wherein the system for treating the salt-containing glycerin wastewater includes a mixing tank, a filtering device, a distillation column, and a water supply device. The mixing tank is adapted to mix salt-containing glycerin wastewater with a concentrated hydrochloric acid to obtain a mixture. The filtering device communicates with the mixing tank and filters the mixture to obtain an acidic filtrate and a precipitated salt. The distillation column communicates with the filtering device and receives the acidic filtrate from the filtering device. The water supply device supplies water to the acidic filtrate. The system and method for treating the salt-containing glycerin wastewater can effectively recycle hydrochloric acid.

Abstract: Provided is an apparatus for capturing a target component from a gas including a rotating packed bed and a packed bed. The rotating packed bed has a first absorbent inlet, a first absorbent outlet, a first gas inlet and a first gas outlet. The packed bed has a second absorbent inlet, a second absorbent outlet, a second gas inlet and a second gas outlet. The first absorbent outlet is in connection with the second absorbent inlet to form an absorbent flow path that sequentially passes through the rotating packed bed and the packed bed. The second gas outlet is in connection with the first gas inlet to form a gas flow path that sequentially passes through the packed bed and the rotating packed bed.

Abstract: The invention discloses a process quality prediction system and a method thereof. When a processing apparatus performs a process on a target, the process is measured by a measurement apparatus to receive a process value. The process value and several previous quality data collected from the measurement apparatus are used to predict the quality of the product which is processing inline. The method is composed of a moving window, a stepwise regression scheme and an analysis of covariance (ANCOVA). The drift and shift of process are overcome by the moving window. A key variable set is selected by the stepwise regression scheme and a virtual model is identified by the analysis of covariance.

Abstract: The invention discloses a method for building adaptive soft sensor. The method comprises the following steps. The input and schedule vectors are constructed, and a novel learning algorithm that uses online subtractive clustering is used to recursively update the structure and parameters of a local model network. Three rules are proposed for updating centers and local model coefficients of existing clusters, for generating new clusters and new models as well as for merging existing clusters and their corresponding models. Once verified, the online inferential model can be created to generate the predicted value of process. Thus, it does not need much memory space to process the method and can be easily applied to any other machine.

Abstract: The present invention discloses a virtual measuring system and a method thereof for predicting the quality of thin film transistor liquid crystal display processes. The virtual measuring method comprises the steps of: capturing a plurality of process parameter data from at least one process machine by an advanced process control unit; normalizing the process parameter data by an original data processing unit; picking a plurality of key process parameter data from the process parameter data by a key parameter choosing unit; establishing a virtual measuring model by a predicting unit according to the key process parameter data, and generating a virtual measuring data by the virtual measuring model. The virtual measuring model is established after a disturbing coefficient is generated through a time sequence regression algorithm by the predicting unit.

Abstract: The invention discloses a method for building adaptive soft sensor. The method comprises the following steps. The input and schedule vectors are constructed, and a novel learning algorithm that uses online subtractive clustering is used to recursively update the structure and parameters of a local model network. Three rules are proposed for updating centers and local model coefficients of existing clusters, for generating new clusters and new models as well as for merging existing clusters and their corresponding models. Once verified, the online inferential model can be created to generate the predicted value of process. Thus, it does not need much memory space to process the method and can be easily applied to any other machine.

Abstract: The invention discloses a process quality prediction system and a method thereof. When a processing apparatus performs a process on a target, the process is measured by a measurement apparatus to receive a process value. The process value and several previous quality data collected from the measurement apparatus are used to predict the quality of the product which is processing inline. The method is composed of a moving window, a stepwise regression scheme and an analysis of covariance (ANCOVA). The drift and shift of process are overcome by the moving window. A key variable set is selected by the stepwise regression scheme and a virtual model is identified by the analysis of covariance.

Abstract: The architecture of the controller of the present invention is mainly composed of three portions, which are a model predictive controller, a local controller (also called stably assistant controller), and a coordinator. This modified model predictive control structure merges two control loops by a coordinator. The control mode can be switched into either of them or provide a combined control action by adjustments of the coordinator. When the system moves out the range of the database, the coordinator will automatically detect the fault and switch to the stably assistant controller to provide the basic control quality to ensure the safety.

Abstract: The architecture of the controller of the present invention is mainly composed of three portions, which are a model predictive controller, a local controller (also called stably assistant controller), and a coordinator. This modified model predictive control structure merges two control loops by a coordinator. The control mode can be switched into either of them or provide a combined control action by adjustments of the coordinator. When the system moves out the range of the database, the coordinator will automatically detect the fault and switch to the stably assistant controller to provide the basic control quality to ensure the safety.