Abstract: The invention relates to the field of aluminum wheel casting molds, and more particularly relates to a closed-loop control method and system for a mold temperature in a wheel casting process. The control method includes: step 1, acquiring data, that is, acquiring a plurality of mold position temperatures, and cooling pipeline opening and closing signals in a target wheel casting process according to a fixed frequency; step 2, storing, based on acquired mold opening and closing signals of casting equipment, the acquired data in a database in the form of a unique ID according to a single wheel casting process; step 3, calculating new process parameters based on the acquired plurality of position temperatures and time; and step 4, integrating the calculated process parameters, and issuing the process parameters to a PLC of a casting equipment to perform new casting.

Abstract: The invention relates to the field of aluminum wheel casting molds, and more particularly relates to a closed-loop control method and system for a mold temperature in a wheel casting process. The control method includes: step 1, acquiring data, that is, acquiring a plurality of mold position temperatures, and cooling pipeline opening and closing signals in a target wheel casting process according to a fixed frequency; step 2, storing, based on acquired mold opening and closing signals of casting equipment, the acquired data in a database in the form of a unique ID according to a single wheel casting process; step 3, calculating new process parameters based on the acquired plurality of position temperatures and time; and step 4, integrating the calculated process parameters, and issuing the process parameters to a PLC of a casting equipment to perform new casting.

Abstract: Embodiments of the present disclosure relate to the field of communications, and disclose a traffic prediction method, including: acquiring traffic data of a first preset time period in a historical period, and pre-processing the traffic data; performing empirical mode decomposition (EMD) on pre-processed traffic data to obtain a plurality of component series; using a time series prediction model to fit the plurality of component series, and using a fitted time series prediction model to obtain a plurality of component prediction results for a second preset time period; accumulating all the component prediction results to obtain a traffic prediction result for the second preset time period. The present disclosure further provides a traffic prediction device and a storage medium.

Abstract: Embodiments of the present disclosure relate to the field of communications, and disclose a traffic prediction method, including: acquiring traffic data of a first preset time period in a historical period, and pre-processing the traffic data; performing empirical mode decomposition (EMD) on pre-processed traffic data to obtain a plurality of component series; using a time series prediction model to fit the plurality of component series, and using a fitted time series prediction model to obtain a plurality of component prediction results for a second preset time period; accumulating all the component prediction results to obtain a traffic prediction result for the second preset time period. The present disclosure further provides a traffic prediction device and a storage medium.

Abstract: A cellulose-silicon oxide composite superhydrophobic material and a preparation method thereof are disclosed. In the method, cellulose substrates with different surface topographies are pretreated by a low-temperature plasma, and then a first silicon oxide layer is deposited on the cellulose substrate by a low-temperature plasma-enhanced chemical vapor deposition method, then modified by a low-temperature plasma, and finally a second silicon oxide layer is deposited thereon, thereby preparing a micro-nano structured superhydrophobic surface on the cellulose substrate, to obtain a cellulose-silicon oxide composite superhydrophobic material, which is an environmentally friendly bio-based hydrophobic material.

Abstract: A cellulose-silicon oxide composite superhydrophobic material and a preparation method thereof are disclosed. In the method, cellulose substrates with different surface topographies are pretreated by a low-temperature plasma, and then a first silicon oxide layer is deposited on the cellulose substrate by a low-temperature plasma-enhanced chemical vapor deposition method, then modified by a low-temperature plasma, and finally a second silicon oxide layer is deposited thereon, thereby preparing a micro-nano structured superhydrophobic surface on the cellulose substrate, to obtain a cellulose-silicon oxide composite superhydrophobic material, which is an environmentally friendly bio-based hydrophobic material.