for old noodles steamed buns or old buns, I believe many post-80s old men are familiar with them. With urbanization becoming more and more obvious, post-90s and post-2000s are relatively strange to old noodles. It is not that the old noodles taste bad, but mainly because the old noodles are cumbersome, and it is difficult for new masters to master this technology. The old master depends on many years of experience, one smell, two looks, and three cuts are the essence of the old master, but if the new master wants to master this skill, learning alone is not enough, he also needs to have a strong understanding, and it will take at least two years for the new master to become a teacher.

so Sanhao combines the essence of many old masters to continuously quantify the gram ratio in the process of old noodle steamed bread. After repeated experiments and measurements, the technology of old noodle steamed bread can not only achieve batch production. It can also be applied to Sanhao steamed bread machine . For Sanhao, this is a milestone and a major breakthrough.

in combination with square steamed bread machine equipment produced by Sanhao, 6,000 steamed buns an hour can be achieved. During this operation, pure old noodle steamed bread can be easily processed with or without experience. Moreover, it is quick to get started, and there is no difficulty, which is also the process that many old iron have been looking forward to. after testing and constantly testing the machine, the old noodle steamed bread process made by Sanhao steamed bread machine not only stays at the old noodle steamed bread level, but also makes a good breakthrough in the old bread and other processes.

so it is not necessary for an old man who wants to make old noodle steamed bread to learn from the old master for a few years. According to Kirby quantification, the old noodle technology quantified by Sanhao has a gram ratio, and there is no difference at all. As long as we do it in proportion, we can easily make old noodle steamed buns, which is the quantitative results we get by using big data and data algorithms in the current era of scientific and technological innovation.