In this work, a stirring and heating test system was built. An experiment at different rotational speeds within 1 h has been done for three working fluids: water, 46# hydraulic oil and saturated NaCl. Under the ideal state without considering the energy loss, the results show that the temperature rise of the working medium is faster as the rotation speed increases, the higher the heating efficiency. For example, the 46# hydraulic oil with smaller specific heat capacity is stirred at a speed of 500 r/min for 1 h, and the temperature is increased by 27.5 °C. In the same rotational speeds, the change of temperature and heating efficiency of different working fluids is complicated, and the physical parameters, such as the mass density, the specific heat capacity and the kinematic viscosity, have a great influence on the heating efficiency.

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The high energy consumption CEA building brings challenges to the management of the energy system. An accurate energy consumption prediction model is necessary. Although there are various prediction methods, the prediction method for the particularity of CEA buildings is still a gap. This study proposes some derived features based on the CEA scenarios to improve the accuracy of the model. The study mainly extracts the time series and logical features from the agricultural calendar, the botanical physiological state, building characteristics, and production management. The time series and logical features have the highest increase of 2.8% and 3.6%, respectively. In addition, four automatic feature construction methods are also used to achieve varying degrees of influence from −9% to 8%. Therefore, the multiple feature extraction and feature construction methods proposed in this paper can effectively improve the model performance.

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Abstract. Most of raw materials of small hardware processing for plate scraps, and it's realized through the manual operation of ordinary punch, which way has the low production efficiency and the high labor intensity. In order to improve the automation level of production, developing and designing of a visual processing system for punch press manipulator which based on the MFC tools of Visual Studio software platform. Through the image acquisition and image processing, get the information about the board to be processed, such as shape, length, the center of gravity position and pose, and providing relevant parameters for positioning gripping and placing into the punch table positioning of the feeding manipulator and automatic programming of punching machine, so as to realize the automatic operation about press feeding and processing.