T/BIAIM 0003-2026 Cloud-edge collaborative production process data governance framework

Scope

This document specifies the technical requirements for data governance in the cloud-edge collaboration production process, including general principles, data governance domains, an overall framework for data governance, and data governance processes. This document applies to data governance planning, design, implementation, and application in the cloud-edge collaboration environment for production processes and related information systems. The main content of this standard includes technical requirements for data governance in the cloud-edge collaboration production process, including general principles, data governance domains, an overall framework for data governance, and data governance processes. It defines the purpose, objectives, and tasks of data governance in the cloud-edge collaboration mode, clarifies the implementation of full lifecycle management of data through cloud-edge collaboration mechanisms to achieve the core requirements of operational reliability, risk control, and value realization. It details the governance boundaries and content of data management domains, data value domains, and data object domains, covering the governance scope of four core data categories: production processing, logistics, quality, and equipment. It establishes an overall framework for data governance in the cloud-edge collaboration production process, consisting of a production process layer, an edge computing node layer, and a cloud service platform layer, clarifying the functional positioning, collaboration mechanisms, and data standardization and security management requirements of each layer. It standardizes the data governance process in cloud-edge collaboration production, covering all stages from data planning to processing, verification, and iteration. Data planning clarifies the data processing division of labor in cloud-edge collaboration, and data processing includes key steps such as collection, cleaning, feature extraction, and integration. Data ve

Development Information

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