Recently, the soldering station industry has also ushered in an unprecedented technological revolution. AiXun has introduced neural network temperature control algorithms into soldering station equipment for the first time, bringing a new breakthrough to the entire industry.
【Self-developed Hardware】
In-depth research is conducted on each hardware component, with continuous experimentation and optimization, ensuring that every detail meets the highest standards.
T4 Series Soldering Station Main Control Board
T4 Series Soldering Station Toroidal Transformer
【Self-developed Software】Continuously updating, iterating, and optimizing UI and operating systems, all geared towards developing the most industry-leading software system.
It is a control algorithm that simulates the neural network of the human brain, capable of predicting and controlling complex systems through learning and training. In AiXun intelligent soldering station, the neural network control algorithm is applied to aspects such as temperature control and soldering time during the soldering process. The algorithm is used to real-time model and predict the working status of the soldering iron through the learning and training of a large amount of data, ensuring precise control of key parameters such as temperature and power during the soldering process.
During the soldering process, existing technologies may lack adaptability to complex or changing environments. Traditional PID control algorithms may struggle to quickly adapt to complex or changing operating environments, such as temperature fluctuations, soldering iron aging, or different soldering materials, resulting in inaccurate heating control or slow response times. The neural network temperature control algorithm introduced by AiXun addresses this by deeply learning and optimizing various variables during the soldering process. It adapts control parameters based on the heating control status of the soldering iron through online learning, achieving more precise temperature control.
Temperature Rise Curve Comparison: Faster temperature rise, no temperature overshooting. The temperature rise curve comparison shows that our upgraded soldering station has a faster temperature rise and can avoid temperature overshooting. This is a significant breakthrough. Our neural network algorithm can monitor soldering temperature in real-time and self-adjust. It precisely adjusts power output based on actual needs, ensuring rapid and smooth temperature rise to the desired temperature in the shortest time while avoiding temperature overshooting. This smooth adjustment of power output means that we can more precisely control the temperature during the soldering process, significantly reducing the risk of soldering defects. Quickly and smoothly reaching the set temperature is crucial for soldering quality.
Rewarming Curve Comparison: Temperature does not drop, power curve is more stable. For the quality and stability of soldering results, the rewarming curve plays a crucial role. Through our upgraded neural network algorithm, the rewarming curve of the soldering station has been improved. In the enhanced rewarming curve, the soldering temperature can stabilize at the set temperature, avoiding rapid temperature drops that may lead to unstable soldering work. The new rewarming control power curve is smoother, and the smoothness of power output is the most significant aspect of our control algorithm. It can effectively maintain a constant temperature, reduce unevenness in soldering results, and ensure high-quality soldering effects.
Specifically, the neural network temperature control algorithm analyzes the temperature and power feedback of the soldering iron during the soldering process, learning from the historical usage patterns of the soldering iron. This ensures that the soldering temperature consistently remains within the optimal range. This intelligent temperature control method not only enhances soldering quality and efficiency but also effectively reduces energy consumption and costs during the soldering process, ultimately extending the lifespan of the soldering iron.
However, behind this innovative technological revolution is AiXun continuous efforts and investment in research and development.
Several years ago, AiXun began laying the groundwork for the independent research and development of soldering station technology. We deeply understand that only by mastering core technology can we stand unbeatable in the fiercely competitive market. Consequently, AiXun assembled a research and development team consisting of seasoned engineers, algorithm experts, and industry elites, embarking on a long and challenging journey of research and development.
AiXun has consistently adhered to the principle of "either not doing, or being the best" in its product research and development.
From catching up to surpassing, and then to leading by a wide margin, AiXun's substantial investment in research and development has been the key driver of its continuous progress. From self-developed hardware to self-developed software, and now with the release of the neural network temperature control algorithm, AiXun consistently upholds the spirit of innovation and the pursuit of excellence, continuously leading the technological revolution in the soldering station industry. All these efforts and investments are aimed at providing customers with higher quality products and services. Becoming a leader in the fields of intelligent power supplies and precision soldering is AiXun's corporate vision, and it has never changed.
In the future, we believe that AiXun will continue to lead the technological revolution in the soldering station industry, propelling the entire industry towards a more efficient and intelligent direction. Let us look forward to more innovations and breakthroughs from AiXun in the future!
WhatsApp