Abstract: The provided is a device for preparing an artificial aggregate by pressure injection and solidification of a powder-based solid waste, pelletization, and magnetic shell reinforcement. The device includes a pressure injection and solidification module, a rolling particle screening module, a zonal temperature-controlled sintering module, and a magnetic shell reinforcement module that are arranged in sequence from front to back, where the pressure injection and solidification module, the rolling particle screening module, the zonal temperature-controlled sintering module, and the magnetic shell reinforcement module are connected by conveyor belts. The device provides a function of pressure-injecting slurry with a specific function into the center of the artificial aggregate to improve the overall performance of the artificial aggregate. The device achieves rapid aggregate pelletization, and provides pressure for the forming process through elastic wheel sets.

Abstract: Disclosed is a method for rapidly preparing biodiesel at low temperatures, belonging to the technical field of chemical energy. The method includes the following steps: adding alkali catalyst, alcohol and organic solvent into grease, and obtaining the biodiesel through transesterification. The transesterification is carried out with the addition of organic solvent, including petroleum ether or n-hexane to improve the compatibility between the two phases of alcohol and grease, increase contact area between the two phases of alcohol and grease, reduce mass transfer resistance between the two phases of alcohol and grease, and promote the grease molecules to enter the methanol solution and dissolving of oil in the grease.

Abstract: The present invention discloses a method for predicting a tag arrival rate of a mobile Radio Frequency Identification (RFID) system. The method includes: first, establishing a dynamic tag arrival model for a mobile RFID system based on modeling data and a grey model GM(1, 1); improving a weight of an initial value of a differential equation of the grey model through weighting; and predicating a tag arrival rate based on a sliding window mechanism. A weighted grey model predication algorithm based on the sliding window mechanism can be obtained, to predicate a tag arrival rate of a mobile RFID system. The method for predicting the tag arrival rate of the mobile RFID system of the present invention can reduce a prediction error rate of the system, maintain a modeling length of 4 for the system through the sliding window mechanism, and update modeling data online.

Abstract: An energy-efficient traffic scheduling algorithm based on multiple layers of virtual sub-topologies is provided. First, a mathematical optimization model for an energy-efficient traffic scheduling problem is established, to minimize network energy consumption while ensuring the capability of bearing all network data flows. Then, the mathematical optimization model is resolved using an energy-efficient traffic scheduling algorithm based on a multi-layer virtual topology, to obtain an energy-efficient scheduling scheme of the data flows. The virtual topology and switch ports in an upper layer are made dormant to save energy. The method can dynamically adjust the working state of the virtual sub-topology in the upper layer according to current link utilization. A path with a minimum number of hops and lowest maximum link utilization can be found in the booted sub-topology, to route the data flow, solving the problem that a “rich-connection” data center network has low energy resource utilization at low load.