The equipment manufacturing industry is facing multiple challenges such as equipment maintenance, troubleshooting, and improving operational efficiency. In order to meet these challenges, the remote diagnosis system came into being, which uses advanced digital twins, Internet of Things, cloud computing and big data analysis technologies to provide an efficient and intelligent remote troubleshooting and diagnosis, AR remote maintenance solution for the equipment manufacturing industry.
Conduct a systematic analysis of the current industry and fully understand the current situation of the industry
Real-time supervision is difficult
The daily inspection and maintenance operations can not be supervised in real time, and the traditional working mode is still used, which can only be replayed afterwards to check the cause, and the personnel entering the station cannot be tracked in real time, and the supervision is cumbersome, and the standard of dynamic monitoring of equipment cannot be reached.
Lack of visual management
When the operation and maintenance operation area is divided, it is impossible to understand the on-site operation situation and equipment status in real time, and the video monitoring method is basically adopted, and the equipment information cannot be viewed and managed in linkage, so the equipment digital twin technology is urgently needed.
Difficult Fault tracing
Fault traceability can only rely on monitoring and playback, monitoring blind spot evaluation is difficult, multiple management systems are independent of each other, lack of correlation analysis, and rely more on manual management on site or in the background.
Value Empowerment
Provide corresponding value for the industry, empower development, and facilitate
Increase equipment operation efficiency20%
Through data analysis, predict future operation demand and supply, optimize the allocation of operation resources, and improve equipment operation efficiency.
Improve annual growth in economic benefits15%
Real-time monitoring and analysis of the operation data of the equipment, timely discovery of potential faults and hidden dangers of the equipment, to avoid economic losses caused by equipment failures.
Reduce equipment failure rate90%
Avoid operation interruption and equipment damage caused by equipment failure, help operation and maintenance personnel better understand the operating status and life of equipment, timely maintenance and replacement, and reduce the failure rate.
Improve O&M efficiency24%
It provides a visual operation interface and comprehensive management functions to help O&M personnel better manage and maintain equipment, and improve work efficiency and management efficiency.
Overall architecture
The remote diagnosis system based on the Lima cloud platform can complement the existing service system of the customer, and form a closed loop of decision-making through data collection and system integration.
Functional architecture
Based on the service data asset center built by the Lima cloud platform, it collects and obtains external and internal data to realize applications such as remote diagnosis, AR remote maintenance, lean service, and fault case library, and interactively presents them through a variety of terminals.
Product composition:
The expert service center is used as the carrier, the AR remote maintenance is used as the means, the lean service system is the business foundation, and the large display screen is used as the presentation terminal.
Core Features
Provide users with efficient and convenient solutions to empower the development of enterprises
Visualization of equipment status
Through the three-dimensional modeling of the physical equipment, the three-dimensional restoration will be carried out in the virtual environment, and the AR equipment will be equipped to realize the combination of virtual and real, realize the construction of the digital twin scene of the equipment, and realize the dynamic monitoring of the equipment in the real sense.
Intelligent fault alert
Realize in-depth data mining, multi-dimensional and large amounts of data combined with adaptive algorithms, build a remote diagnosis system, realize the digital twin means to empower enterprises, and help enterprises in digital transformation.
Automate data acquisition and processing
Through a large amount of data collection and analysis, more in-depth mining and analysis of data, combined with expert algorithms, provide optimal analysis and decision-making, and realize remote troubleshooting.
Customer Success Stories
Industry News
Learn about the industry news and market trends
Other Solutions
With digital twin technology and self-developed J3D engine, it provides a full-scene solution for virtual simulation training
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