The invention relates to the technical field of
electrolysis, and discloses an intelligent electrolytic bath shell surface
hardness judgment method based on pressure self-adaption, which comprises the following steps: acquiring cylinder
impact shell
surface pressure data in real time through a
pressure sensor, calculating the pressure change rate at adjacent sampling moments, and calculating a
hardness index by using a pressure-
hardness mapping model in combination with the change rate and the
impact frequency. The index is compared with a threshold value, the shell surface hardness is judged, a high-low pressure mode is selected, an
electromagnetic valve is controlled to switch an air source, the air
cylinder pressure is stabilized through a self-
adaptive algorithm, the crust breaking pressure is rapidly and stably adjusted, it is ensured that the
system efficiently operates under different shell surface hardness, compared with a traditional
system, the daily air consumption is reduced by 54.9%, and
energy conservation and emission reduction are achieved; the crust breaking success rate is increased to 97% from 85%, and production interruption and material waste are reduced; the replacement period of the hammer head is prolonged from 15 days to 35 days, the maintenance cost is reduced, and the production efficiency is improved.