This standard (GB/T 43780—2024) specifies the technical requirements and evaluation requirements for intelligent manufacturing equipment, and is applicable to the design, optimization, transformation and evaluation of intelligent manufacturing equipment. Its core goal is to improve the level of intelligent manufacturing equipment and achieve efficient, reliable and safe production processes.
| Intelligent Features | Core Requirements | Application Scenarios |
|---|---|---|
| Intelligent Perception | Collect physical, chemical and biomass data, and require timeliness, completeness and accuracy. | Applicable to industrial automation control, environmental monitoring and other fields. |
| Monitoring and Diagnosis | Realize fault prediction, online self-diagnosis and remote collaborative monitoring, and reduce false alarm rate and missed alarm rate. | Applied to equipment maintenance, industrial robots and other fields. |
| Adaptation and Optimization | Possess environmental prediction and reliability prediction capabilities, and support automatic compensation and fault tolerance functions. | Applicable to complex manufacturing environments and high-precision production processes. |
An automobile manufacturing company introduced intelligent industrial robots equipped with high-precision sensors to achieve real-time monitoring of temperature, pressure and vibration. Through data preprocessing and analysis, the robot can quickly respond to abnormal situations, significantly improving production efficiency and product quality.
| Standard Dimensions | GB/T 43780—2024 | Comparison of International Standards |
|---|---|---|
| Depth of Technical Requirements | Comprehensively covers core functions such as intelligent perception, monitoring and diagnosis. | Compatible with IEC 61158 series standards to ensure international interoperability. |
| Data Processing Capability | Emphasis on the accuracy, completeness and real-time nature of data collection. | Meet the requirements of GB/T 17178.1 for consistency testing. |
To ensure the smooth implementation of intelligent manufacturing equipment, it is recommended that enterprises:

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Update:
Wed, 13 May 2026 02:59:49 +0000