Invented by Wei You, Lijin Xu, Efort Intelligent Equipment Co Ltd

The market for the Industrial Robot Process Cloud System and its working method is witnessing significant growth and is expected to continue expanding in the coming years. This innovative technology has revolutionized the manufacturing industry by offering a more efficient and streamlined approach to industrial processes. The Industrial Robot Process Cloud System is a cloud-based platform that integrates various industrial robots and their processes into a centralized system. It allows manufacturers to monitor, control, and optimize their production lines remotely, resulting in increased productivity and cost savings. This system enables real-time data analysis, predictive maintenance, and seamless integration with other smart factory technologies. One of the key advantages of the Industrial Robot Process Cloud System is its ability to enhance collaboration and communication between different stakeholders in the manufacturing process. By connecting robots, machines, and humans through a cloud-based platform, it enables seamless coordination and information sharing. This leads to improved efficiency, reduced downtime, and better decision-making. Moreover, the Industrial Robot Process Cloud System offers scalability and flexibility to manufacturers. It allows them to easily add or remove robots from the system as per their production requirements. This adaptability is crucial in today’s dynamic manufacturing landscape, where companies need to quickly respond to changing market demands. The market for the Industrial Robot Process Cloud System is driven by several factors. Firstly, the increasing demand for automation and robotics in industries such as automotive, electronics, and pharmaceuticals is propelling the adoption of this technology. The need for improved efficiency, precision, and quality control is driving manufacturers to invest in advanced solutions like the Industrial Robot Process Cloud System. Secondly, the growing trend of Industry 4.0 and the Internet of Things (IoT) is also contributing to the market growth. The Industrial Robot Process Cloud System seamlessly integrates with other smart factory technologies, such as sensors, data analytics, and artificial intelligence. This integration enables manufacturers to create a connected and intelligent manufacturing ecosystem, leading to improved productivity and competitiveness. Furthermore, the Industrial Robot Process Cloud System offers cost savings for manufacturers. By optimizing production processes, reducing downtime, and enabling predictive maintenance, it helps companies minimize operational costs and maximize profitability. This cost-effectiveness is a significant driver for the adoption of this technology. In terms of geographical segmentation, the market for the Industrial Robot Process Cloud System is witnessing significant growth in regions such as North America, Europe, and Asia Pacific. These regions have a strong manufacturing base and are early adopters of advanced technologies. The presence of major industrial automation companies and the increasing focus on smart factory initiatives are driving the market growth in these regions. In conclusion, the market for the Industrial Robot Process Cloud System and its working method is experiencing rapid growth due to its ability to enhance productivity, collaboration, and cost savings in the manufacturing industry. As the demand for automation and smart factory solutions continues to rise, this technology is expected to play a crucial role in shaping the future of manufacturing processes. Manufacturers who embrace this technology will gain a competitive edge in the market by improving efficiency, quality, and profitability.

The Efort Intelligent Equipment Co Ltd invention works as follows

The present invention is a cloud-based industrial robot system that includes a motion planning control layer Motion and a servo loop control layer Servo. The industrial robot cloud system includes an industrial robot control with a human-machine interaction layer HMI and a motion planning and control layer Motion, as well as a servo control loop layer Servo. It also contains a cloud, which is a process expert. Human machine interaction layer HMI, motion planning control Layer Motion, and cloud server interact via a network. After the human machine interface layer HMI inputs the operation information, it is transmitted to cloud server. A specific robot operation is then generated and downloaded by the network into the industrial robot controller system. Cloud processing is performed on industrial robots to process experience. The process expert system formed is then data-interaction and real-time evolution learned by the network.

Background for The Industrial Robot Process Cloud System and Working Method Thereof

The continuous development and revolution of industrial robots has led to a gradual replacement of manual operations, and a significant improvement in production efficiency and consistency. The hardware resources of the local controller are occupied by a process software package that is used in the traditional industrial robotics. Local hardware resources of the industrial robot are unable to perform large-scale mining and computation of process data and reasoning of instructions, or storage of a knowledge database of processes because of a hardware bottleneck. Process intelligence and integrity is also poor.

The present invention, which aims to address the deficiencies in the prior and current architectures, provides an industrial robot cloud process system, and a method of working thereof, in order to fix the defects in prior art.

An industrial robotic process cloud system” comprises an industrial robot controller system that is integrated with a Human Machine Interaction layer HMI, a Motion Planning Control Layer Motion and a Servo Loop Control Layer Servo.

The industrial robot process cloud system also comprises a cloud, which includes a process expert. The present invention implements relevant functions of an industrial robot process software package by using the process expert systems that are stored and operated in the cloud servers. This allows the hardware resources of the industrial robot’s local control system to be freed up, while the software architecture and cost remain low.

The human machine interface layer HMI and motion planning control layer Motion perform data interaction with the Cloud Server via a network using a specific data communication protocol. After the human machine interactions layer HMI inputs the operation information, it is transmitted to cloud server. And after the cloud search an existing template in the process expert systems or performs similarity and reasoning computations, a robot operation program specific is created and downloaded by the network into the industrial robot controller system.

The cloud server optimizes, learns, and evolves the process expert system through comparison and learning of the downloaded operation program. The process expert system can update in real time and has continuous learning and perfection features. It can also be updated real-time. Users can get the most recent process information and support. The technical solution of the present invention can greatly improve the efficiency of changeover production programming in factories. It does not depend and is not restricted to the experience of industrial robot operation, maintenance, and process personnel, and it reduces the cost of using the industrial robot.

The process expert system includes a welding subcloud, painting subcloud, cutting subcloud, pick and palatizing, assembly subcloud, glueing subcloud, and grinding, polishing, and deburring. Sub-clouds are added continuously as the operation types increase. By storing different types of machining operations in the cloud server, sharing, real-time learning, and evolution through the network is possible. The user can then easily call the program that best suits their needs.

The network can be a mobile communication network such as 3G,4G,5G or similar or Ethernet in the form WIFI or physical connection. The data exchange requirement of the invention can be met by adopting a high-speed mobile network or Ethernet.

The present invention describes the process expert system that is based on high speed network technology and operates in a cloud server. It has learning and evolutionary capabilities as a cloud process, and can cooperate with other parts to form an industrial robot process cloud.

The following steps are included in the working method of an industrial robot cloud process system:

After field engineers have performed simulations and confirmed, the cloud server will download an operation program to the industrial robotic control system via a network. nstep 4 : controlling the industrial to perform trial production. nstep 5 : inspecting the sample obtained after trail production to ensure that it meets technical requirements. nstep6 : performing normal production once the sample is qualified. nstep7 : uploading the data of the robot entering the normal production process to the cloud by means the network.

In step 1, a three-dimensional digital version of the sample piece of the final product can be acquired directly by computer-aided designing.

In step 1, a three-dimensional digital version of the sample product can also be obtained by scanning the piece.

In step 1, input parameters include material and workpiece requirements for machining processes.

In step 1, machining parameters can be entered manually through the HMI layer (human machine interface) of the industrial robotics.

In step 1, the workpiece attributes can also be automatically checked by using equipment and instruments. The machining parameters will then be inputted through the HMI layer (human machine interface) of the industrial robotics.

A mode of automatically inspecting attributes of workpieces by adopting equipment or instruments can be a mode for barcode reading inspection or an RFID reading mode.

The cloud server can generate an operation program based on workpiece information through online expert manual input and then download it into the industrial robot control systems. At the same time, the solution and operation program will be stored in the Process Expert System.

In step 3, the cloud server can also perform the search and calculation in the process expert systems, judge if the search and the computation are converging in real-time, and then download the operation into the industrial robot controller system via the network, if the search and the computation are converging.

In step 3, if the data have not been converged by the online expert, they are manually adjusted and corrected. This means that the industrial robot operation program, which is automatically searched, is corrected to allow the data to be aligned.

In step 5, if the robot’s operation program is found to be unqualified, offline engineers will correct and adjust it.

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