en.Wedoany.com Reported - During the 8th Simulation Technology Application Conference in 2026, Tian Feng, Senior Vice President of Anshi Pacific, Product Manager Cui Liang, and R&D Engineer Luo Jiahua elaborated on the current status and direction of the integration of industrial software with artificial intelligence from three perspectives: industry trends, product iteration, and agent implementation.
Tian Feng, Senior Vice President of Anshi Pacific, stated that artificial intelligence is bringing traditional industrial software giants back to the same starting line. China possesses rich industrial scenarios and massive data, which are core resources in the AI era. He pointed out that industrial software is evolving from 1.0 toolization and 2.0 platformization to 3.0 agentization. In the future, software will no longer rely entirely on manual operations but will integrate constraints from physical laws, enabling AI to understand natural language while adhering to engineering standards. Leveraging 30 years of simulation technology accumulation, tens of thousands of case scenarios, and knowledge engineering from thousands of enterprises, Anshi Pacific has launched the Jingzhi Large Model iGPT. This model has been certified by the China Academy of Information and Communications Technology (CAICT) and ranks alongside Huawei and Volcano Engine as one of China's three trusted industrial large models. Simultaneously released, the Jingzhi Whale System is an operating system (Agentic OS) designed for complex enterprise business scenarios. It supports enterprises in independently creating, configuring, testing, and managing agents, featuring capabilities such as security and controllability, tool invocation, skill management, workflow orchestration, and runtime monitoring. This enables a full-chain closed loop from natural language requirement input and multi-agent collaborative execution to process tracking and result consolidation.
Cui Liang, Product Manager at Anshi Pacific, introduced the evolution direction of the PERA SIM product. He noted that current projects face challenges such as complex assemblies, massive meshes, multi-physics coupling, and extensive design scheme iterations, with traditional simulation efficiency reaching its ceiling. The newly released PERA SIM this year has significantly enhanced its structural and fluid solver capabilities and, for the first time, introduced the multi-physics product PERA SIM Multiphysics, achieving a strong bidirectional fluid-structure coupling between proprietary structural and fluid software. In terms of AI applications, Cui Liang revealed the PERA SIM AIROM intelligent reduced-order model product. This product trains fast prediction models using high-fidelity simulation data, significantly reducing the time cost of repeated calculations. It will be used in the future for parameter evaluation, design space exploration, and real-time optimization.
Luo Jiahua, R&D Engineer at Anshi Pacific, introduced the functionalities of the agent product PERA AgentX. This product aims to help novice engineers directly perform simulation operations, addressing two core obstacles: "difficult software operation" and "lack of engineering experience." Users do not need to master complex solver menus; by describing engineering requirements in natural language, the agent can automatically execute tasks. Built-in standard engineering specifications assist users in avoiding common setup errors. To address the hallucination issue of AI, PERA AgentX is deeply integrated with enterprise private knowledge bases. Each analysis is based on real specifications and historical data, ensuring accurate and compliant results. Additionally, customers' historical simulation project data, including successful cases, failure lessons, and specific parameter settings, can be uploaded to the knowledge base. The agent internalizes these experiences through learning and directly invokes them in new tasks, enabling continuous accumulation of experience.
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