The "three nos" dilemma faced by small and medium-sized manufacturing enterprises in transitioning to smart factories mainly refers to "unable to transform, afraid to transform, and unwilling to transform."

Industrial Internet and the Internet of Things (IoT) both leverage new technologies to achieve data acquisition, providing essential data for management. The distinction lies in the fact that, compared to the IoT, the Industrial Internet of Things (IIoT) operates within a narrower scope.

The ideal state of smart manufacturing in a smart factory is to establish a highly intelligent production mode, which is characterized by high automation, high informatization, and high networking.

With the continuous advancement of technologies such as the Internet and big data, today's smart factories have acquired the capabilities of autonomous data collection, intelligent analysis, intelligent judgment, and intelligent planning.

Smart factories can shorten the product development cycle while improving production efficiency, helping factories achieve lean manufacturing sooner.

The smart‑factory Andon system will be integrated with an instant‑notification platform, after which the designated responsible personnel will be equipped with an alarm wristband, enabling them to receive abnormal alerts immediately via the wristband.

The primary objectives of a smart factory encompass intelligent marketing, intelligent design, intelligent production, and an intelligent supply chain, among others.

By uploading the collected data in real-time to the intelligent factory's management system, the system can directly utilize the data from the ALSI equipment status monitoring system.

Smart services in a smart factory are built upon the foundation of smart products, leveraging technologies such as the Internet and big data to transform traditional factory services into intelligent services of a smart factory.

Taking the ALSI equipment condition monitoring system as an example, this intelligent factory equipment monitoring solution demonstrates strong practical applicability. It not only transforms the traditional manual post-event data entry approach but also enables real-time data acquisition.