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GB/T 47691-2026Guidelines for the construction and implementation of industrial digital twin systems (English PDF)

工业数字孪生系统建设实施指南

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

May 25, 2026

Implementation date

December 1, 2026

Scope

GB/T 47691-2026 is the English-translated version of 工业数字孪生系统建设实施指南.

GB/T 47691-2026 is the Chinese national standard covering how an industrial digital twin is actually built - the scoping and the objectives it must serve, the models and the data that feed them, the integration with the plant systems, the validation of the twin against reality and the operation and maintenance of it afterwards. First edition, in force from 1 December 2026, published with GB/T 47693-2026 on assessing the providers who build these systems. It was issued on 25 May 2026 and takes effect on 1 December 2026, as a first edition. The document is under the responsibility of the China Machinery Industry Federation. This page is published from the official record of the 2026 edition; the clause text of a standard this recent is not yet in circulation, and the figures, limits and tables it contains are those of the document itself, delivered in full with the English translation.

Document preview — GB/T 47691-2026

National Standard of the People's Republic of China

ICS: 35.240.50
Classification: J 07

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

4 General Principles
5 Elements content
5.1 Technical Elements
5.2 Management Elements
5.3 Effectiveness Factors
6 Construction and Implementation Process
6.1 Planning
6.2 Implementation
6.3 Application

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part

1.Structure and Drafting Rules of Standardization Documents". Drafting. Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents. This document was proposed by the China Machinery Industry Federation. This document is under the jurisdiction of the National Technical Committee on Standardization of Automation Systems and Integration (SAC/TC159). This document was drafted by: National Industrial Information Security Development Research Center, Beijing Institute of Mechanical Industry Automation Co., Ltd., and China National Building Materials Group Corporation. Glass New Materials Research Institute Group Co., Ltd., State Grid Electric Power Space Technology Co., Ltd., and Southern Power Grid Digital Operation Software Technology (Guangdong) Co., Ltd. Company, CRRC Corporation Limited, China National Tobacco Corporation Hefei Design Institute, Ningbo Shun Yuan Intelligent Technology Co., Ltd., Jinghang Weitai Measurement and Control Instruments Equipment (Beijing) Co., Ltd., Hubei Yihua Chemical Co., Ltd., Shandong Hetong Information Technology Co., Ltd., CRRC Qingdao Sifang Locomotive Co., Ltd. Vehicle Co., Ltd., Inspur Cloud Industrial Internet Co., Ltd., Shanghai Baoxin Software Co., Ltd., and Huizhian Information Technology Co., Ltd. Limited Liability Company, Wuxi Research Institute of Huazhong University of Science and Technology, Jiangsu Jicui Huake Intelligent Equipment Technology Co., Ltd., Shenzhen Jiayuntong Electronics Co., Ltd. Company, China Machinery Intelligent Equipment Research Institute (Beijing) Co., Ltd., Beijing Institute of Automation (Beijing) Technology Development Co., Ltd., China Energy Investment Corporation Ningxia Coal Jinfeng Coal Mine Limited Liability Company, Chongqing University, Shenzhen Tuwei Technology Co., Ltd., Hubei Haolan Intelligent Manufacturing Technology Co., Ltd., and Zeen Technology Co., Ltd. Limited Company, China National Pharmaceutical Group United Engineering Co., Ltd., Ningbo Kobiruit Intelligent Technology Co., Ltd., and Saisheng Information Technology Research Institute Jiangsu Limited Liability Company, Beijing Xinyuan Electronic Information Technology Co., Ltd., and Sichuan Yuzhang Technology Co., Ltd. The main drafters of this document are. Luan Yan, Hu Bo, Meng Xiangxi, Du Hongtao, Wang Haidan, Sun Jiexiang, Yin Zibo, Wang Jiaying, Quan Wenju, and Wang Congxiao. Zheng Sijia, Zhao Ming, Wei Tao, Wang Zhen, Guo Wenai, Weng Jiuxing, Hao Haisheng, Bian Pingguan, Geng Zhe, Gu Jia, Pang Songtao, Shang Guangyong, Wang Sen, Yu Dan, An Shenghui, Pu Donglin, Liu Yongcai, Zhang Chong, Xu Hui, Liu Guofeng, Li Xiaobin, Qiu Yongsheng, Wei Lantian, He Chunping, He Jiesha, Huang Jiangkun, Zhou Ling Huang Wei, Zhang Canyu, Zhang Juanjuan, Yao Huan, Wu Donghan, Li Yunzhi, Duan Minghao, Yu Chengxiang, Zhou Yun, Meng Xiaoqian, Xiao Zhanhui, Sui Yingjie, Liu Liang, Deng Guo Huang Leguan, Shao Mingwu, Mou Lin, Xu Wei, Li Hesheng, Wang Danxing, Wang Licheng, Dai Xing, Li Nan, Li Yan, Wu Shuang, Guo Yan. Guidelines for the Construction and Implementation of Industrial Digital Twin Systems

1.Scope This document provides guidance on the implementation path, scope, objectives, and hierarchical structure for building industrial digital twin systems, and outlines the implementation details. Information on the core elements involved in the process, such as technology, management, and results, as well as the specific requirements for each stage. This document applies to the planning, implementation, application, and improvement of industrial digital twin systems by industrial enterprises, and also to service providers, etc. Third-party organizations provide consulting, evaluation, construction, and implementation services for industrial digital twin systems.

4 General Principles

4.1 Implementation Path Based on the objectives of building and implementing the industrial digital twin system, the scope of implementation is determined, and implementation goals are defined at different levels. In the system's strategy... The process involves four phases. planning, implementation, application, and improvement. Activities are conducted focusing on elements such as technology, management, and effectiveness, and timely assessments of implementation readiness and system services are carried out. Service provider capabilities and application maturity assessments were conducted to identify existing bottlenecks and shortcomings, and the PDCA (Plan-Do-Check-Act) process was implemented. The evaluation-improvement cycle drives continuous system improvement and enhances the application of industrial digital twin systems, bringing benefits to the main implementers of the system. The sustainable and steadily increasing value is shown in Figure 1.

4.2 Scope of Implementation Based on the purpose of system construction and implementation, and in accordance with the system's functional requirements and application areas, the scope of implementation of the industrial digital twin system is as follows:

a) Device Domain. A device-level industrial digital twin system is applied to a single production device, mapping one or more functions on that device.

b) Production line domain. A production line-level industrial digital twin system is applied to a single production line, mapping one or more functions on that production line.

c) Workshop Domain. A workshop-level industrial digital twin system is applied to a single workshop, covering its main functions and mapping the workshop's... One or more business functions.

d) Factory Domain. A factory-level industrial digital twin system is applied to a single factory and can cover one or more major business units within the factory. Map one or more business functions of the factory.

e) Industry Chain Domain. Industry chain-level industrial digital twin systems are applied to a single industry chain, covering multiple factories along the chain and mapping... This includes one or more functions such as supply chain collaboration. Based on the functional requirements and scope of impact of the industrial digital twin system, the coverage and inclusion relationships between different implementation scopes are shown in Figure 2. As shown.

4.3 Implementation Objectives and Hierarchical Classification The implementation goal of an industrial digital twin system refers to the objective of the system construction and implementation entity, based on business needs and technical feasibility, within a specified implementation scope. Internally, it builds and deploys a digital system capable of dynamic mapping, real-time interaction, simulation optimization, and intelligent decision-making between physical entities and virtual models. The system establishes the expected results after implementation during the planning phase. After the industrial digital twin system is put into application, its effectiveness should be assessed to determine its maturity. An assessment is conducted, and the achievement of the industrial digital twin system's implementation goals is determined based on the assessment results. System application maturity is classified into five levels, with... The body is as follows:

a) Initial stage. Already possessing a certain level of digitalization and networking infrastructure, and just beginning or planning to implement information technology upgrades to equipment and infrastructure. The industrial digital twin system is under construction but has not yet been implemented, or the industrial digital twin system is under construction and implementation but has not yet been... It can truly play a role.

b) Basic Level. The starting point for the system construction and implementation entity to realize the core value of the digital twin system. The necessary digital [system/technology] is already in place. The infrastructure, characterized by digitalization, networking, and intelligence, can effectively support the implementation and application of digital twin systems. The scope of system implementation has been completed. The digital twin system can monitor and collect data on the system's implementation scope in real time and support the geometric kinematics of the control logic. Simulation analysis, and the ability to visualize the results in an appropriate manner, can support the business operations within this scope of implementation.

c) Optimization Level. This is the advanced stage of implementing the digital twin system by the system construction and implementation entity. Building upon the basic level, applications are implemented. The digital twin system can effectively support business activities, and the model for the system implementation scope incorporates industry and domain knowledge. Mechanism and information models have been established, enabling the mapping between physical entities and digital twins in virtual space, and realizing the integration of virtual and real worlds. The synchronization capability enables the identification of operational status, conducts operational optimization and simulation prediction, and effectively supports the implementation of the system. The business of surrounding.

d) Intelligent Level. This refers to a high-level implementation of the digital twin system by the system construction and implementation entity. Building upon the optimization level, implementation... A comprehensive mechanism model has been established in the applied digital twin system, and the digital twin is deeply integrated with artificial intelligence, resulting in industrial digital twins. The system possesses intelligent analysis capabilities, enabling it to intelligently analyze and make decisions regarding pain points in the business, demonstrating exceptional performance. The system supports the implementation of business operations and enables enterprises to realize their core value.

e) Autonomous Level. The highest level of enterprise implementation of digital twin systems. Building upon the intelligent level, this involves implementing digital twin applications. The system can establish a complete feedback strategy system based on the system's intelligent analysis and decision-making capabilities to address specific business problems, in the absence of... It can operate autonomously with minimal or no external intervention, generating decision-making and control commands independently, and efficiently supporting system implementation. This expands the scope of business and significantly enhances the competitiveness of the system construction and implementation entities.

4.4 Implementation Elements The key elements for constructing and implementing an industrial digital twin system include technical elements, management elements, and performance elements. Technical and management elements... Different configurations and interactions will affect the effectiveness of industrial digital twin system construction and implementation. The logical relationship among the three is shown in Figure 3, and the implementation scope is as follows: The key elements for implementation shall be determined in accordance with Appendix A.

5.1 Technical Elements

5.1.1 Model The main factors influencing the industrial digital twin system model are as follows:

a) Model fidelity. The degree to which the system model attributes meet the requirements of system implementation and application. Model attributes include, but are not limited to, the model's geometry. Size, physical characteristics, business processes, production processes, information flow, working mechanisms, etc.

b) Model adaptability. The system model adapts to the application requirements of the system implementation by updating parameters. The scope of updates includes, but is not limited to, several... Size, physical characteristics, business processes, production processes, information flow, working mechanism, etc.

c) Model Interface. The extent to which the system model's data and control interfaces meet the requirements for system implementation and application.

d) Model universality. The standardization and reusability of the system model and interfaces.

e) Model coding. The system manages model coding uniformly according to the principle of hierarchical and classified management.

f) Other model-related technical elements.

5.1.2 Control The main factors affecting the control of industrial digital twin systems are as follows:

a) Closed-loop control. The algorithm used by the system to perform closed-loop control of production processes and business workflows, and the algorithm based on actual operating data. The model attributes and closed-loop control algorithm parameters are updated to meet the requirements of system implementation and application.

b) Virtual-Real Synchronization. The system updates and optimizes the system model and control algorithm parameters in a timely manner based on changes in the external environment, ensuring... The system is designed to maintain stable and reliable operation without external interference, meeting the requirements for system implementation and application.

c) Other control-related technical elements.

5.1.3 Connection The main factors affecting the connectivity of industrial digital twin systems are as follows:

a) Network interconnection. The system supports network access methods, and the supported network coverage and bandwidth meet the actual needs of system applications. The situation regarding the demand for implementation.

b) Interface Integration. The system is compatible with different protocols and supports the integration of different interfaces.

5.2 Management Elements

5.2.1 Institutional System The key elements of the institutional framework that influence the construction and implementation of industrial digital twin systems include the following.

a) Management System. The management system established and operated by the system construction and implementation entity meets the needs of industrial digital twin system planning, implementation, and... Application requirements and management system include, but are not limited to, management systems related to information system planning, implementation, and operation.

b) Standards and Specifications. The information system-related standards developed or adopted by the system implementation entity must meet the requirements of the industrial digital twin system planning, The implementation and application requirements, and the standards and specifications include, but are not limited to, standards and specifications related to the implementation and operation of information systems.

c) Other management elements related to the system.

5.2.2 Human Resources The human resource-related factors that influence the construction and implementation of industrial digital twin systems mainly include the following.

a) Personnel. The number and skill levels of management personnel, production technicians, and operators of the system construction and implementation entity meet the requirements. The application requirements for system implementation.

b) Organizational Structure. The responsible department and leader for the system construction and implementation should be established to meet the needs of system planning, implementation, and application. Condition.

c) Other human resource-related management elements.

5.2.3 Capital Investment The main factors affecting the financial investment required for the construction and implementation of industrial digital twin systems include the following.

a) Funding for Construction and Implementation. This refers to the funding invested by the entity responsible for the planning, implementation, and application of the industrial digital twin system. This includes, but is not limited to, situations related to funding guarantee systems, project approval, and disbursement.

b) Operation and maintenance funding. The system implementation entity's investment in operation and maintenance funds for the implementation and application of the industrial digital twin system. The details include, but are not limited to, the system's operating and maintenance funding guarantee system, project approval, and disbursement.

c) Other management elements related to capital investment.

5.2.4 Support capability The key factors affecting the assurance capabilities for the construction and implementation of industrial digital twin systems include the following.

a) Construction and Implementation Support. This includes the personnel allocation for the planning, implementation, and application of the industrial digital twin system by the system construction and implementation entity. The inter-departmental communication mechanism is set up to meet the needs of system implementation and application.

5.3 Effectiveness Factors

5.3.1 Competitiveness The main factors that influence the competitiveness of industrial digital twin systems for the implementing entities include the following.

a) Innovation capability. The implementation and application of the system have led to shorter product development cycles and an increased proportion of new product output value.

b) Business efficiency. The implementation and application of the system contribute to shorter product delivery cycles and improved capacity utilization efficiency.

c) Quality and Customer Satisfaction. The implementation and application of the system promotes improved product qualification rates, contract fulfillment rates, and faster response to customer changes. Such as improvements in degree.

d) Other competitiveness-related performance factors.

5.3.2 Socioeconomic benefits The main factors influencing the socio-economic benefits that industrial digital twin systems bring to the construction and implementation entities include the following.

a) Cost reduction and efficiency improvement. The implementation and application of the system promotes a reduction in product design, manufacturing, warehousing and transportation, and product sales costs, and facilitates... Increases in sales revenue, quantity, etc.

b) Energy conservation and emission reduction. The implementation and application of the system promotes the reduction of energy consumption, carbon emissions, and wastewater, waste gas, and solid waste in production and operation. Situations such as reduction.

c) Work safety. The implementation and application of the system contribute to a decrease in work safety accidents.

d) Other socioeconomic benefit-related performance factors.

6.1 Planning

6.1.1 Determine the scope of implementation It is advisable to clarify the main scope for the implementation and effective functioning of industrial digital twin systems in accordance with section 4.2.

6.1.2 Define Implementation Objectives It is advisable to clarify the implementation goals of the industrial digital twin system in accordance with

4.3 and determine the final achievable results.

6.1.3 Develop and implement an implementation plan Based on the implementation objectives, define the minimum set of functions that the industrial digital twin system should possess, and formulate a construction implementation plan. The plan should clearly define the construction implementation... The state achieved by all factors before implementation. When defining system functions, fully consider cutting-edge technologies such as artificial intelligence, large-scale models, blockchain, and quantum computing. Innovative applications of information technology and industrial digital twins.

6.1.4 Determine resource requirements To ensure the successful implementation and application of industrial digital twin systems, the minimum set of technical and management resources provided by various elements should be clearly defined. And determine the timing, content, and quantity of each resource requirement. Resource requirements include, but are not limited to, the following.

a) Institutional system;

b) Human Resources;

e) Resources required for the construction and implementation of other systems.

6.1.5 Develop and implement a construction plan With the assistance of system service providers, the construction and implementation of the industrial digital twin system can be further refined and broken down, and a construction and implementation plan can be formulated. The plan includes, but is not limited to, a work breakdown structure, timeline, division of responsibilities, and risk management schemes. The implementation plan specifies the following. content.

a) Task content;

b) Task objectives;

c) Task timeline;

d) Task allocation;

e) Risk control plan;

6.2 Implementation

6.2.1 Determine the system service provider The entities responsible for constructing and implementing industrial digital twin systems should select suitable system service providers in accordance with GB/T 47693-2026.

6.2.2 Carry out construction and implementation activities The entity responsible for implementing the industrial digital twin system will carry out system construction and implementation work according to the implementation plan, and will conduct system construction and implementation according to the construction and implementation plan. The development, deployment, and trial operation of the system's technical and management elements should be conducted using scientific and mature project management methods throughout the entire construction and implementation process. We will conduct tracking and supervision to ensure that the system construction and implementation progresses steadily in accordance with the construction and implementation plan and achieves the system construction and implementation goals.

6.3 Application

6.3.1 Establish an operation and maintenance mechanism The entities responsible for implementing industrial digital twin systems should establish and implement operation and maintenance systems, and invest sufficient resources to ensure the normal and stable operation of the system. The resources required for line maintenance mainly include, but are not limited to.

a) Operation and maintenance personnel;

a) Operation and maintenance funds;

b) The software and hardware tools required for operation and maintenance;

c) Other elements required for operation and maintenance.

6.3.2 Assess application maturity After the industrial digital twin system is officially put into application, the system construction and implementation entity should regularly revisit the system technology in accordance with changes in the external environment. The application of the factor, management factor, and performance factor evaluation system has brought about improvements in competitiveness and socio-economic benefits, and these improvements are correlated with the actual implementation of the system. Benchmark against established goals and analyze existing bottlenecks and shortcomings. The application maturity results will serve as an important input for further improvements and enhancements.

6.4 Improvements As the implementation and application of industrial digital twin systems continue to deepen, the entities responsible for system construction and implementation are adapting to changes in the external environment and the system's construction and implementation. When core requirements change, timely identification of improvement opportunities is crucial. The results of system application maturity analysis and the objectives of system construction and implementation should be used as criteria for system improvement. Important inputs. Plan, implement, and apply system improvements or new systems according to 6.1~6.3.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 44 pages — is available in the English PDF.

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