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PRODUCT GATEGORY-
Smart factory planning ten key directions
Intelligent factory consulting diagnosisIn 2021, two standards were released: Intelligent Manufacturing Capability Maturity Model GB/T39116-2020 and Intelligent manufacturing capability Maturity Evaluation Method GB/T39117-2020, which divided enterprises' intelligent manufacturing maturity into five levels, namely: Level 1 (planning level), Level 2 (specification level), Level 3 (integration level), Level 4 (optimization level) and Level 5 (leading level) are evaluated according to five capability elements, 12 capability domains and 20 capability sub-domains. Each sub-domain also provides the corresponding 1-5 evaluation requirements and scoring values. Enterprises can correspond to different level requirements according to their own construction conditions. Then, the score value is given, which is relatively objective (process industry and discrete industry also give different requirements respectively), and enterprises can refer to this system for evaluation.Intelligent factory building designThe plant design of intelligent factory needs to introduce the concept of digital twin, and carry out architectural design through three-dimensional design software, especially the design of water, electricity, gas, network, communication and other pipelines. At the same time, intelligent video monitoring system, intelligent lighting and lighting system, ventilation and air conditioning system, intelligent security alarm system, intelligent access control card system, intelligent fire alarm system, etc. should be planned for intelligent workshop. The intelligent video surveillance system, through face recognition technology and other image processing technology, can filter out the useless or interference information in the video picture, automatically identify different objects and people, analyze and extract the key useful information in the video source, judge the abnormal situation in the monitoring picture, and send an alarm or trigger other actions in the fastest and best way.
2023-04-27 MORE>> -
How does steel structure Enterprise transform digitally?
With the continuous progress of 5G, cloud computing, big data, the Internet of Things and other technological means, the digital era has come. In recent ten years, the competition of steel structure enterprises has become more and more fierce, and the market price has become transparent. Many steel structure enterprises have introduced various information systems (ERP, PLM, MES, LES, etc.) to integrate the management information of enterprises, so as to achieve the purpose of optimizing management and improving profits. However, the production mode of manufacturing industry is diversified and the industry characteristics of steel structure production, the traditional information software often can not meet the actual demand in the actual production, mainly manifested in the coverage of limited, the system function is miscellaneous, the system data scattered and difficult to integrate and so on.At present, the steel structure industry is a completely customized and traditional resource-consuming and labor-intensive industry. Recruitment difficulties, aging workers, high labor costs, uneven production quality. Production equipment is moderately mechanized, low degree of intelligence, and will produce a lot of energy consumption and cost.
2023-04-27 MORE>> -
A key driver of the digital transformation of manufacturing
With the development of information technology and the progress of manufacturing technology, people's material life is increasingly rich, and at the same time, there are more and more intelligent and personalized demands for products. How to improve production efficiency, shorten product time to market, adopt more flexible and flexible production mode, improve resource and energy utilization rate, and quickly respond to the intelligent, personalized and changeable demand of the market are the main issues facing the global industry today. In order to solve these problems, the world's major industrial powers have put forward their own intelligent manufacturing strategic vision planning, such as Germany proposed "Industry 4.0", the United States proposed "manufacturing revival plan", China proposed "Made in China 2025" strategy. Digital twin technology, as one of the core technologies for the construction of the meta-universe, together with a series of technologies such as industrial Internet of Things, 5G communication, big data, cloud computing, artificial intelligence and 3D visualization, can build virtual images of objects in the real world, simulate, simulate, predict and assist decision-making in terms of geometric shape, physical model and behavioral state. Thus, the above problems can be effectively solved and the vision of intelligent manufacturing can be realized.1. InteroperabilityPhysical objects and digital space in digital twin can be bidirectional mapping, dynamic interaction and real-time connection, so digital twin has the ability to map physical entities with various digital models, and has the identity of transforming, merging and establishing "expression" between different digital models.2. ScalabilityDigital twin technology has the ability to integrate, add and replace digital models, and can be extended for multi-scale, multi-physical and multi-level model content.3. Real-timeDigital twining requires digitization, that is, the management of data in a way that can be recognized and processed by computers to represent physical entities that change over time. The objects represented include appearance, state, attribute and internal mechanism, forming the digital virtual body mapping of the real time state of physical entity.4. High fidelityThe fidelity of digital twinning refers to the closeness between the digital virtual model and the physical entity. It is required that virtual body and entity should not only maintain a high degree of simulation in geometric structure, but also in state, phase and temporal simulation. It is worth mentioning that in different digital twinning scenarios, the simulation degree of the same digital virtual body may be different. For example, in the working condition scenario, it may only be required to describe the physical properties of the virtual body, without paying attention to the details of the chemical structure.5. Closed loopThe digital virtual body in the digital twin is used to describe the visualization model and internal mechanism of the physical entity, so as to facilitate the monitoring, analysis and reasoning of the state data of the physical entity, optimize the process parameters and operation parameters, and realize the decision-making function. In other words, the digital virtual body and the physical entity are endowed with a brain, so the digital twin has a closed-loop property.
2023-04-27 MORE>>
