*图源：站酷海洛

Focusing on the inspection and maintenance phase, this case study takes us into a nuclear industry institute to explore how cutting-edge AI/AR technology can enhance the efficiency of pre-emptive verification, providing vital support for the safe operation of enterprise production.

This case study's client is dedicated to comprehensive research in the field of nuclear industry technology, undertaking a number of key scientific research and production tasks.

As an important safeguard for the safe production of the nuclear industry, the pre-verification process is time-consuming and labor-intensive, and it has extremely high requirements for accuracy and reliability.

In order to further improve the efficiency and quality of verification, the institute has introduced the innovative AI/AR technology of ALVA Systems to achieve efficient verification of the maintenance and repair equipment operation process, providing a safeguard for subsequent safe production.

Given the particular nature of the industry, even the slightest negligence in the production process can lead to serious consequences.

Relying on the ALVA AI/AR solution, the institute has implemented real-time guidance through AR, while also using AI for real-time verification and prediction, which has shortened the overall verification cycle.

◆ Blending the Virtual and the Real for Precise Job Verification

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Leveraging AI and AR technology, a 1:1 digital twin model based on real operational scenarios is constructed to simulate the operation process of equipment in the maintenance environment, ensuring the rationality and safety of the maintenance workflow.

Based on the verification data results, fine-tune the path parameters such as the moving speed and turning radius of the physical maintenance equipment to optimize the workflow, achieving precise planning and real-time adjustment of the maintenance equipment's path.

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◆ Collaborative Multi-Person Verification and Comprehensive Review

It is worth mentioning that this case also integrates a multi-person collaboration feature, allowing multiple reviewers to work together in the same virtual space. It supports centralized review of maintenance equipment, enabling verification and optimization of key operations such as collision testing and operational state analysis.

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While enhancing the efficiency of review and verification, it also provides strong conditions for the continuous iteration of the production process.

The institute has greatly improved the pre-verification efficiency of the maintenance equipment operation process by introducing cutting-edge AI/AR technology.

Thanks to the innovative application of virtual-real interaction, researchers can both remotely control robots for real-time research and verification work, and use actual data to drive virtual models, achieving predictive maintenance, thereby extending the empowerment value from the verification phase to the production site.