Industrial Robot Cloud Programming for Fast Changeover Production
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional industrial robots have low changeover production programming efficiency, rely heavily on operator experience, and suffer from hardware bottlenecks, leading to high maintenance costs and poor timeliness due to static process software and complex architecture.
Innovation Solution
An industrial robot process cloud system with a cloud server-based process expert system that offloads software functions, enabling real-time updates and learning, and integrates human machine interaction and motion planning layers for efficient data interaction and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If process software packet is stored in local robot controller, then robot can operate independently, but hardware resource is occupied and cannot perform large-scale data acquisition and computation
Solution Approach 1:
The patent extracts the process software packet from the local robot controller and stores it in a cloud server. This removes the burden of storing and processing large process data locally, allowing the robot controller to focus on real-time control while the cloud handles data acquisition, computation, and process knowledge management.
Solution Approach 2:
The patent introduces a cloud server as an intermediary between the robot controller and the process knowledge database. The cloud server acts as a mediator that provides process software packets to the robot controller when needed, enabling the system to access extensive process data without occupying local hardware resources.
2Productivity
If process software packet is stored locally, then robot can execute processes, but cannot be updated in real time and requires periodic updates
Solution Approach 1:
The patent makes the process software packet dynamic by storing it in a cloud server that can be updated in real-time. The robot controller can dynamically download updated process packets from the cloud, allowing the system to adapt to changing production requirements without physical hardware changes or periodic manual updates.
Solution Approach 2:
The patent implements preliminary action by pre-storing multiple process software packets in the cloud server. When production requirements change, the system can quickly retrieve pre-prepared process packets from the cloud without needing to perform complex computations or programming locally, enabling rapid adaptation.
3Ease of operation
If traditional industrial robot architecture is used, then robot can perform basic operations, but software architecture is complex and hardware resource occupation is high
Solution Approach 1:
The patent segments the robot control system into distinct functional layers: the robot controller handles real-time motion control and basic operations, while the cloud server handles process software management, data acquisition, and computation. This segmentation simplifies the local controller's architecture while maintaining full operational capability.
Solution Approach 2:
The patent makes the cloud server a universal platform that serves multiple functions: storing process software packets, acquiring process data, performing computations, managing multiple robot controllers, and providing real-time updates. This consolidates many functions into a single centralized system, reducing overall complexity.
Data Source
AI summary
The present invention relates to an industrial robot process cloud system and a working method thereof. The industrial robot process cloud system comprises an industrial robot control system integrated with a human machine interaction layer HMI, a motion planning control layer Motion and a servo loop control layer Servo, and further comprises a cloud server, wherein the cloud server comprises a process expert system. The human machine interaction layer HMI and the motion planning control layer Motion realize data interaction with the cloud server by means of a network, after the human machine interaction layer HMI inputs operation information, the operation information is transmitted to the cloud server, and a specific robot operation program is generated and downloaded into the industrial robot control system by means of the network. The present invention realizes cloud processing performed to process experiences on various operation types of industrial robots, the process expert system is formed, data interaction and real-time evolution learning of the process expert system are realized by means of the network, the user can conveniently call in real time the robot process program which best satisfies actual requirements and the changeover production efficiency is improved.