Sensors are the key to today's intelligent industry.
Release Time:
2025-11-01
In terms of智能化 (smart technology), sensors play a crucial, pivotal role—without perception, smart technology simply cannot come to life. If an entire system relies heavily on experience-based or predictive approaches, it first requires the massive support of big data. Yet, in real-world scenarios, every change is unique and unpredictable; there’s no way to accurately foresee every possible variation in advance. This inherent uncertainty can inadvertently introduce risks into actual production processes. That’s precisely why sensors are indispensable in intelligent manufacturing—they serve as the backbone that enables precision, adaptability, and reliability in today’s advanced systems.
If Industry 4.0 is to address the current challenge of replacing Taobao, it can only do so in the B2B sector—certainly not in the B2C space, at least not with today’s perspective. After all, at the core of "Industry 4.0" and "Industry 2025" lies intelligent manufacturing. Whether it’s networking or digitalization, what truly matters is intelligence itself. Yet none of these advancements can be realized without six-axis force sensors—just as a human being relies on its sensory organs: the eyes act as visual sensors, the nose serves as an olfactory sensor, and the skin functions as a tactile sensor. It’s precisely because humans possess such a rich array of intelligent sensory systems that we’ve evolved into highly sophisticated, intelligent beings. Beyond this, humans also have actuators—like hands and legs—and even subtle movements such as blinking or puckering the lips are orchestrated by specific tissues that send signals via nerves directly to the brain. Only after the brain processes and interprets this information does it issue commands to the relevant organs, enabling them to execute a wide range of actions and behaviors.
In the entire field of control theory, all control implementations rely on front-end perception. While some systems involve pre-set configurations, these preset setups are entirely different from conditional responses—indeed, they represent two fundamentally distinct approaches when it comes to intelligence. For instance, imagine pouring a basin of water onto a person. If the system is pre-set, no matter what type of water is thrown—whether cold or hot—the person will instinctively dodge, simply because the system lacks the ability to perceive or assess the nature of the water. On the other hand, if the system is perception-based, it would first detect whether the water is cold or hot. If it senses discomfort, the person would swiftly evade the incoming liquid; but if it feels pleasant, they’d calmly and happily welcome it. This principle also serves as a key inspiration for many developers creating entertainment projects. Yet, if the system relies solely on pre-set programming without any real-time perception or adaptive response, it becomes clear that the individual essentially loses both their sensory awareness and capacity for judgment.
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