CN-121979074-A - Digital twin platform bidirectional synchronization method and system for flexible processing production line

Abstract

The invention discloses a bidirectional synchronization method and a bidirectional synchronization system for a digital twin platform of a flexible processing production line, which convert static process data into a dynamic event stream capable of driving simulation through a CAM semantic adapter, open and activate a process-simulation-twin full link, ensure millimeter-level synchronization of visual manifestation and logic process under a complex scene by adopting incremental synchronization and client interpolation rendering based on simulation logic time, realize synchronization and visualization with high fidelity and strict time sequence, endow actual time, beat and concurrency relation for the static process in the simulation platform, endow engineering analysis capability of digital twin depth, enable quantitative analysis of production beat and productivity bottleneck, and form extensible virtuous circle of 'simulation verification-visualization analysis-decision optimization' through abstract feedback instructions and routing mechanisms, and ensure stability of a core time sequence link and integral resource efficiency of the system.

Inventors

• Shi Kangyun
• ZHU LEI
• Wan Gaoge
• MA WENFENG
• HE YIHUI
• MIAO JUNYI
• YU FENG
• FENG BAILIN
• GUO XIAOGUANG
• LIU BO
• Wang Lingnan
• HU XIN
• LI BAOQIANG
• SHEN XIAOWEI
• NIU KAILIANG

Assignees

• 机械工业第六设计研究院有限公司
• 中国陆源国际工程有限公司

Dates

Publication Date

20260505

Application Date

20260207

Claims (6)

1. 1. The digital twin platform bidirectional synchronization method for the flexible processing production line is characterized by comprising the following steps of: s1, developing and deploying a CAM semantic adapter, which is used for semantically analyzing CAM data, packaging the CAM data into standardized process events and then injecting the standardized process events into a universal data service platform; S2, the simulation platform simulates the packaged standardized process event to generate a time-sequence data stream and injects the time-sequence data stream into the universal data service platform; s3, developing and deploying the enhanced twin synchronization service, subscribing and receiving the time-sequence data stream in real time, comparing the new time-sequence data with the previous state snapshot of the corresponding entity, and generating an incremental update message; s4, the three-dimensional twin client drives scene update according to the incremental update message, outputs a standardized feedback instruction through user interaction or intelligent analysis, and sends back the standardized feedback instruction to the universal data service platform through a bidirectional communication link; And S5, the universal data service platform distributes the universal data service platform to a downstream system according to the feedback instruction type and the target.
2. 2. The method for bi-directionally synchronizing a digital twin platform for a flexible processing line of claim 1, wherein the time-series data stream is a state change, a logic event and a motion step with a simulation time stamp of a simulation platform driving a virtual line model to operate according to a standardized process event.
3. 3. The method for bi-directionally synchronizing a digital twin platform for a flexible processing production line of claim 1, wherein the incremental update message is a state difference value of a last state snapshot of the current time-ordered data stream and the corresponding entity.
4. 4. The flexible processing production line-oriented digital twin platform bidirectional synchronization method of claim 1, wherein an intelligent redundancy filtering strategy is adopted, and the method is only issued to a general data service platform when the data change exceeds a preset threshold value.
5. 5. The bidirectional synchronization method of the digital twin platform for the flexible processing production line according to claim 1, wherein the feedback instruction type comprises a control class instruction and an optimization suggestion of a process root, the control class instruction is distributed to a simulation platform, and the optimization suggestion of the process root is distributed to a CAM system.
6. 6. A digital twin platform bidirectional synchronization system facing a flexible processing production line is based on a general data service platform and is characterized by comprising: The CAM semantic adapter module is used for analyzing and mapping the processing data of the CAM system into standardized process semantic units and packaging the standardized process semantic units into standardized process events; the time sequence driving module of the simulation platform drives the standardized process event to be dynamically executed in the simulation platform to generate a time sequence data stream; the enhanced twin synchronization service module compares the time-sequence data stream with the previous state snapshot of the corresponding entity attribute by attribute to generate an increment update message and synchronizes the increment update message to the three-dimensional twin platform; The intelligent twin client module is used for realizing scene rendering according to the incremental updating message and converting optimization suggestions generated by user interaction or local intelligent analysis into standard feedback instructions; And the bidirectional instruction routing service module is used for analyzing and routing feedback instructions from the intelligent twin client module to realize closed-loop optimization.

Description

Digital twin platform bidirectional synchronization method and system for flexible processing production line Technical Field The invention relates to the technical field of industrial digital twin and intelligent manufacturing, in particular to a digital twin platform bidirectional synchronization method and system for a flexible processing production line. Background The flexible processing production line is used as a core production carrier in the fields of discrete manufacturing, aerospace and the like, the intelligent level of the flexible processing production line directly determines the market competitiveness of enterprises, and the flexible processing production line is a key support for converting the manufacturing industry from a traditional rigid production mode to 'small-batch, multi-variety and quick-response' flexible manufacturing. The digital twin technology provides an integrated technical scheme for the whole life cycle management of the flexible production line by constructing a closed loop system of a physical production line-virtual model-twin data-application service, and becomes a core enabling technology for pushing the digital transformation of the manufacturing industry. At present, the digital twin technology has been widely applied and researched in a plurality of fields such as intelligent workshops, power systems, smart cities and the like, however, in a multi-software integration scene of a flexible processing production line, a significant technology landing bottleneck still exists. The construction of a flexible processing production line digital twin body with high fidelity, interactivity and decision-making often requires the integration of various software tools including a CAM system, a discrete event simulation platform and a three-dimensional visualization platform. In an ideal state, the whole-flow data penetration and intelligent closed loop of the process-simulation-twinning should be realized. However, the current technology faces serious challenges in practical integration, leading to difficulty in fully releasing the value of digital twinning, specifically as follows: 1. Data semantic isomerism and conversion rigidification, namely the NC/G code output by the CAM system is focused on tool tracks and processing logic, an object-oriented event driven model and logistics data are adopted in a simulation platform, and a twinning platform depends on three-dimensional graphic rendering data flow. The three data structures are distinct from business semantics. The existing integration scheme mostly adopts customized 'point-to-point' data conversion scripts or intermediate files. The method is highly dependent on a specific workpiece process, and whenever a production line processing object is replaced (such as a turbine disk is replaced by a casing), conversion logic needs to be redeveloped or adjusted, so that universality and flexibility are lacked, and errors are easily introduced in the conversion process. 2. The synchronization mechanism is extensive and unidirectional, and the main stream method realizes synchronization through periodic polling or simple state triggering and cannot accurately respond to discrete events with definite service meanings, such as process end, tool life exhaustion, AGV accurate approaching and the like. This causes the virtual world and physical world (or high precision simulation logic) to be out of sync or delayed on critical service nodes, reducing the reliability and trustworthiness of the digital twin model. More importantly, the data flow is typically one-way from CAM to emulation to visualization, forming an "open loop". When the visual twin body discovers potential problems or optimizing points through a built-in intelligent analysis model (such as fault prediction and bottleneck recognition based on machine learning), a standardized and automatic path is lacked to feed back decision information to an upstream simulation platform for strategy adjustment or reversely guide the optimization of process parameters of a CAM system, so that a digital twin 'perception-analysis-decision-execution' closed loop cannot be formed. 3. The data transmission efficiency is low, and in order to maintain the real-time state of the virtual model, massive data such as coordinates, speed and the like of the high-frequency transmission equipment are often required, wherein the massive data comprise a large amount of redundant information (such as repeated coordinates when the equipment is at rest). The adoption of standard industrial communication protocols (such as OPC UA) for full-volume and periodic broadcasting can lead to high network bandwidth occupancy rate and large transmission delay, and is difficult to meet application scenes with strict requirements on instantaneity, such as virtual debugging, real-time remote monitoring and the like. Therefore, for the specific scene of high requirements on dynamic adjustment and quick response of the