Due to the poor effect of traditional systems on constant temperature
control, the paper proposes to design an embedded continuous temperature
control system in a dynamic, intelligent building. In the smart building,
the thesis takes the building as the research object and uses the embedded
technology to design the overall structure diagram of the system. The thesis
aims at the output control module of the thermostat. It uses the Peltier
effect to develop the thermocouple closed-loop and drives the semiconductor
refrigeration device select. In the software part, the paper establishes a
cross-compilation environment, transplants embedded kernels, and sets fuzzy
rules for constant temperature control. The validity of the system design is
verified through experiments. It can be seen from the experimental results
that the system has a better thermostat control effect.
Focusing on the requirement of planar near-field antenna measurement, a method usually used in finite difference time domain simulation which is based on the equivalence theorem is employed in the process of near-to-far-field transformation. The distribution of the far-field pattern is obtained directly in polar spherical coordinate system. A standard gain horn antenna is taken as an example for testing. Near-field data, which are derived from theoretical formula and from numerical simulation, are transformed by this method. The results are compared with others obtained by traditional method based on plane wave spectrum expansion, analytical theory and electromagnetic computation with FDTD method. Finally, this method is proved to be reliable.
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