Recently, an intelligent, automatic and high-precision cage welding machine made a grand debut at an industry exhibition. With its breakthrough technological advantages, it has completely broken the inefficient dilemma of traditional cage welding, opened a new era of efficiency, precision and intelligence in the steel bar processing industry, and attracted widespread attention in the industry.

Traditional cage welding mostly relies on manual or semi-automatic equipment, which not only requires a lot of manual input, but also has low welding efficiency and difficult-to-guarantee welding precision. It is prone to problems such as unstable welding joints and uneven spacing, which seriously affect the quality of pile foundation projects and also pose potential safety hazards. The intelligent cage welding machine unveiled this time integrates numerical control technology, Internet of Things technology and intelligent control technology, realizing full-process automatic operation of cage processing.

This intelligent cage welding machine can automatically complete the full-process operations of steel bar feeding, positioning, welding and forming without manual intervention, which greatly reduces labor intensity. A single equipment can replace 6-8 welders, and the processing efficiency is 4-6 times higher than that of traditional manual work. At the same time, the equipment is equipped with a high-precision servo motor and an intelligent welding system, with a welding precision error controlled within ±0.3mm. The welding joints are flat and firm, fully meeting the construction standards of pile foundation projects and effectively avoiding rework caused by welding quality problems.

Industry experts said that the debut of the intelligent cage welding machine not only promotes the technological upgrading of cage welding equipment, but also helps the steel bar processing industry get rid of manual dependence, transform towards intelligence and high efficiency, and inject new vitality into the high-quality advancement of infrastructure projects.