An intelligent self-optimization go teaching interaction platform
system integrates dynamic interaction go board hardware, deep
collaboration software and security
encryption data, a 1: 1 equal ratio structure is used on the hardware, 0.1 mm precision
pressure sensing and LED light and shadow linkage units are arranged in intersections, 2.5 D anti-blue-light polarization
layers and temperature sensors are matched, and the dynamic interaction go board hardware and the deep
collaboration software are integrated. The brightness can be adaptively adjusted according to the touch temperature, a rest is prompted, and the integration of accurate interaction and
eye protection is realized; a teacher double-circulation professional
score system is constructed on
software, qualification is verified through block chain storage, service conversion and chess power improvement factors are fused to calculate professional scores, service sorting and reward accounting are associated, meanwhile, a chess power defect model is established based on a student chess behavior feature
library, and a difficulty jump fallback mechanism and a three-dimensional anti-
addiction system are matched; and an off-line intelligent replaying function supported by a chess style
adaptation matching engine and edge calculation is also designed, so that the dynamic, precise and intelligent Go teaching is realized in an omnibearing manner.