The ways to assisting in expanding the "intelligent" utility of the industrial Internet
The one is to drive the intelligent configuration of the industrial resources. The robot can play an important role of the industrial internet platform, become the hub of the industrial full-element link, connect the industrial application upwards, connect the mass equipment downwards, and continuously precipitate and accumulate the mass of industrial experience and knowledge model with the application and promotion value, and through the more scientific, high-efficiency industrial resource allocation way and path, to drive manufacturing system and ecological intelligent upgrade and operation.
The second is to effectively break the bottleneck of the intelligent upgrading of the manufacturing industry. The computing architecture mounted by the robot is increasingly advanced and can be communicated with the high-performance cloud computing infrastructure, so as to realize the integration, storage and calculation of the massive heterogeneous data, and effectively solve the bottleneck problem that the explosive growth of the industrial data does not match the computing power of the existing industrial system, to accelerate the manufacturing of data-driven, networked and intelligent processes.
The Industrial Internet has a catalytic role in the development of the robot.
The first is to assist the robot to realize interconnection and data sharing. Big data technology based on industrial Internet realizes the analysis and sharing of robot related data, reduces the labor intensity, improves the working environment, improves the productivity and reduces the cost as a whole. According to statistics, robots using industrial Internet can help manufacturers improve production efficiency by 8% to 15%, while production costs by 8% to 15%.
The second is to effectively reduce robot loss and maintenance costs. Through remote real-time data monitoring management and alarm, timely synchronization of production management status, the robot can effectively reduce material consumption during the working period, effectively avoid deformation, scratch, collision, and can reduce the cost of production shutdown caused by more than 30% maintenance every year.
The third is to support the robot to carry out customized production. Through the design and optimization of the working model, the robot can quickly adapt to multi-variety, small batch customized production, rapid upgrading of products, adapt to the increasingly fierce market competition, effectively save investment and form economies of scale.