F3YD64-1P Isoftstone Power to create “AI+ digital twin “core capabilities

F3YD64-1P Enable “intelligent, independent and green” new industrialization

At present, the industry is accelerating to the direction of “intelligent, autonomous and green”, the mutual support of AIGC and industrial digital twins can improve the efficiency and accuracy of industrial scene decision-making and optimization through intelligence, strengthen the security of industrial scene data, mechanism and process with autonomous and controllable industrial software, and help industrial enterprises to achieve green and low carbon. Promote higher level transformation breakthrough and sustainable development of enterprises.

In the past, AI and digital twins were two relatively separate systems. With the gradual maturity of AIGC technology, it is deeply integrated into modeling, data analysis, simulation calculation, data prediction analysis, etc., and comprehensively improves the digital twin capability. This development is especially suitable for industrial metaverse application scenarios, and is expected to accelerate the construction of a new paradigm of digital intelligence and promote new industrialization. AI+ digital twins will become the key support for industrial intelligence, autonomy, and green, F3YD64-1P and the only way to a new type of industrialization. In the process of leading the transformation of industrial digital intelligence, Isoftong Power has built a perfect digital twin research and innovation system, and launched the Tianshu iSSMeta industrial digital twin base platform.

With the blessing of AI technology, Tianshu iSSMeta has upgraded six core technical capabilities based on core technologies such as AIGC and Agent, focusing on industrial mechanism model, CAE solution, industrial digital twin process engine, etc. This upgrade greatly improves the efficiency of CAD modeling and CAE grid calculation, and in specific applications, the modeling time of underground oil storage units is greatly reduced from 1 day to only 5 minutes, and the CAE grid calculation that would have required 3 hours is reduced to 3 minutes. The accuracy of scene application is significantly improved, and the early warning accuracy of a chemical plant is increased by 20% and the response time is reduced by 15%. In addition, the prediction cycle is greatly optimized by reshaping the dynamic simulation calculation method, and the wind energy utilization rate is increased by 23.5% when applied to the wind energy simulation prediction.

The independent control of core industrial software is an important foundation of “manufacturing power”, and the independent innovation product system of iSSMeta is the core layout of ISoftong Power in the field of industrial information and innovation. Among them, iSSMeta-CAE industrial simulation platform creates high-performance cloud sF3YD64-1P imulation capabilities for intelligent manufacturing design, research and development, production, etc., and independently realizes the ability to build based on simulation modeling, grid processing, and simulation scientific calculation. iSSMeta-OS digital twin industrial control operating system can realize the autonomous industrial virtual and real precision control; iSSMeta-CAM virtual factory simulation software can help enterprises build their own process simulation and optimize the production process.

One of the important features of the new type of industrialization is green development. With carbon management as the starting point, ISoftstone continues to make technological breakthroughs and provide comprehensive professional services for zero-carbon factories, low-carbon parks and enterprise ESG needs.

iSSMeta-Green carbon intelligent management platform has two core advantages: carbon universe and carbon strategy simulation:

The first is to realize the flow of device-level carbon data, so that carbon data and meta-universe are deeply integrated, achieve real-time collaborative interaction, and form data assets;

The second is to predict the future trend of enterprise emissions according to historical data and propose optimization paths for key links, and carry out scientific and reasonable energy planning according to carbon quotas.

At present, the platform has been applied in factories, parks, stadiums and other fields to widely help green transformation.

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