Effectively and accurately carrying out equipment maintenance has become one of the toughest issues in the digital transformation of industrial manufacturing. Robots, machine tools, and other industrial manufacturing devices present a huge challenge to traditional maintenance methods: Unplanned downtime and complex maintenance hurt manufacturing efficiency and quality and drive up maintenance costs.
Huawei will demonstrate its predictive maintenance solution that overcomes the challenges of traditional maintenance at HUAWEI CONNECT 2017 in Shanghai, September 5 to 7.
What’s Wrong with Traditional Manufacturing Maintenance?
Traditional industrial manufacturing maintenance can be summarized as corrective maintenance and preventive maintenance.
Corrective maintenance: Workers fix devices after faults are detected. This method adversely impacts production plans and slows automated mass production. Newer corrective maintenance methods also cause problems — especially higher costs — because they require additional spare parts and more intensive labor provided by a professional maintenance team. What’s more, for industries that demand high quality and precision, equipment failures that cannot be identified in time may cause defects in bulk products, which result in huge costs to correct the errors.
Preventive or regular maintenance: Can mitigate the impact of equipment downtime to a certain extent and reduce the probability of product defects caused by equipment failures. However, equipment still needs to be shut down — a time-consuming and inefficient process. Manual detection and maintenance may even cause additional errors and potential equipment failures. Also, many components may be replaced before the end of their service lives, which is a waste of resources.
The Solution: Predictive Maintenance
Technologies such as the Internet of Things (IoT) and Big Data now make predictive maintenance possible. This type of maintenance monitors the running status of equipment in real time and, with Big Data analytics, detects potential risks. In this way, possible faults can be identified in advance, making it easy to formulate predictive maintenance plans. As a result, industrial manufacturers are quickly implementing it around the world. According to IoT Analytics, predictive maintenance is expected to grow at a compound annual growth rate of 39 percent between 2016 and 2022.
Huawei’s innovative Edge-Computing-IoT (EC-IoT) Solution provides solid predictive maintenance and has been widely adopted by industrial manufacturers. It helps manufacturers implement and better manage Internet connections of massive numbers of industrial robots and machine tools, thus reducing O&M costs and accelerating digital transformation.
The solution helps industrial manufacturers increase productivity and product quality while reducing service downtime by more than 70 percent and maintenance and operating costs by more than 50 percent. The EC-IoT Solution consists of terminal communication modules, edge computing gateways, and Huawei’s Agile Controller.
Terminal communication modules support intelligent connections of networked sensor terminals. Edge computing gateways are connected to tens of millions of smart devices and sensors, and provide intelligent connections and nearby data processing services. In this way, different types of applications and data are processed at the edge of the network, delivering key intelligent services such as real-time services, data aggregation and interoperability, and security and privacy protection. The Agile Controller enables cloud management of IoT gateways and millions of IoT terminals.
Unique advantages include:
• An open architecture with more than 17 types of industrial-grade interfaces, eSDKs, and protocols that enable integration and interconnection with different vertical industry applications provided by partner companies. This effectively solves previous difficulties in connecting both legacy and modern devices.
• Real-time analysis of local data helps implement services within 10 milliseconds.
• Aggregates, optimizes, and filters local data. After performing pre-analysis of the collected data, only results and high-value data are uploaded to the cloud. A large amount of data about the status of engineering machinery is filtered and optimized locally. This reduces the network workload that otherwise would be caused by uploading massive amounts of data.
• Remote maintenance enhances efficiency, reduces costs, and improves ‘first pass yield.’ As a result, end users benefit from lowered O&M and quality control costs. Remote maintenance also detects security vulnerabilities before problems occur.
The Next Step in Predictive Maintenance
Huawei is working with its partners to take the next step in the progress of predictive maintenance: Developing maintenance methods for industrial robots. These methods will aid the digital transformation of manufacturers of industrial robots — which, in turn, will help these companies become service providers (in addition to hardware providers) and grow their profits in new ways.
In 2016, Huawei became one of the founding members of the Edge Computing Consortium (ECC) with Shenyang Institute of Automation, China Academy of Information and Communications Technology, Intel Corporation, ARM, and iSoftStone, a technology consulting firm. The ECC is committed to building an open, cooperative platform that incubates best practices in the industry to promote innovation and to develop IoT systems based on edge and cloud computing. The IoT systems are expected to promote a wide range of predictive maintenance applications for industrial manufacturing.
In the upcoming HUAWEI CONNECT 2017, Huawei will focus on the EC-IoT Solution and demonstrate our latest innovative applications. Huawei will show you how EC-IoT enables predictive maintenance of industrial manufacturing. Come join us and see convincing examples and data.
For more information about Huawei EC-IoT solutions, please visit:
HUAWEI CONNECT 2017, Huawei’s flagship event for the global ICT industry, will be held at the Shanghai New International Expo Centre, September 5 to 7, 2017. The theme is Grow with the Cloud. During this global platform for open collaboration, Huawei will help customers and partners explore new ways to grow through digitalized transformation.
For more information about HUAWEI CONNECT 2017, please visit our website: