Using AI for SME monitoring and fault detection.
EqFuse device intelligence series, let each device have a smart brain that can "talk, think and optimize"
The EqFuse equipment intelligence series is an OEM intelligent solution built by Zhixian Future specifically for semiconductor equipment manufacturers .
The solution embodies Zhixian Future's more than 20 years of semiconductor industry software accumulation, and deeply integrates engineering intelligent product functions such as chamber matching (Chamber Matching), fault monitoring and classification (FDC) and recipe management system (RMS) . It also combines the best algorithms, big data, big language models and AI technology to configure the equipment with"can talk, think and optimize", realizeintelligent fault diagnosis and prediction, self-tuning and intelligent manufacturing, and maximize equipment value and production efficiency.
- Chamber Matching
Chamber Matching is the core function of EqFuse, which can help equipment engineers quickly analyze the gap between equipment/chambers and save machine adjustment time.
Taking thin film deposition as an example, the number of chip processing layers often reaches hundreds. Due to differences in equipment and chambers, it is impossible to ensure the consistency of process performance. The traditional method relies on engineers' experience and manual comparative analysis to find the root cause of the problem, which usually takes hours or even days.
The device has built-in Chamber Matching function, which can realize fully automated intelligent analysis, greatly shorten the analysis time, and redefine the intelligent device solution:
Parallel analysis of chambers is not limited in number .
Automatically identify and match the "best chamber" based on the successfully verified optimal algorithm and perform difference comparison
Full Trace full parameter comparison analysis
Accurately locate mismatch parameters and specific mismatch steps
One-click FDC verification: Jump to the FDC traceability details analysis page with one click to verify the matching results of mismatch parameters.

- FDC fault monitoring and classification - fault warning sentinel
Real-time monitoring of the operating status of equipment during the production process replaces post-production detection, captures anomalies in advance, and accurately locates the source of the problem, providing strong support for troubleshooting and equipment optimization.
- RMS process formula management——formula safety fortress
Through central control, the formula and equipment are seamlessly connected, the production process is optimized, management efficiency is greatly improved, and intelligent and efficient formula management is achieved.
- AI+RCA fault root cause analysis——fault location radar
Fusion Intelligence presents the future industry vertical big model "Lingxi", intelligently diagnoses equipment causes. Comprehensively analyzes multiple data such as recipes/equipment constants/equipment change records, so as to quickly and accurately locate the root cause of equipment problems.
- AI Assistant: A know-it-all for devices, who understands them better than device engineers
The AI Assistant knowledge base service is built by integrating more than 200 industry scenarios of Zhixian Future , 40TB of semiconductor industry data, professional paper knowledge, engineer work orders/reports , etc., which can realize troubleshooting, rapid recall and display of fault cases, visual source location, automatic retrieval of equipment parameters, equipment fault troubleshooting and maintenance plan recommendations, etc., which greatly improves the troubleshooting efficiency and "understands" the equipment better than equipment engineers.
- AI+EHM health prediction management
Combining historical data with cloud computing capabilities, prediction algorithms, large language models and other technical means, early abnormal signals in abnormal modes can be identified, faults can be accurately predicted in advance, and detailed maintenance plans can be generated. This measure has changed the previous situation of heavy reliance on the experience of veterans and lack of systematic and scientific prediction methods. From "passive processing" to "autonomous defense", it has greatly improved the ability to prevent and handle equipment failures and reduced production interruptions caused by equipment failures.