When the crane is installed with the "smart brain", it can not only lift the heavy weight, but also the unique job of remote "seeing a doctor". After more than two years of research and development and testing, the digital maintenance platform built by Guangdong Yongtong Lifting Machinery Co., Ltd. was launched this year, which not only realized the real-time tracking of equipment data information, but also greatly reduced the management cost of the crane.

The traditional crane maintenance mode often relies on manual inspection and regular maintenance, which is not only inefficient, but also difficult to grasp the equipment status in real time.

As A professional service provider of intelligent lifting solutions, Yongtong has national A-level crane manufacturing and installation and maintenance qualifications, forming a perfect and independent intellectual property rights of product design, research and development, manufacturing as one of the innovation system, products are widely used in machinery, metallurgy, ceramics, electricity, electronics, railway, port, logistics and other industries, and gradually into the new energy, aerospace and other fields.

In March this year, Yongtong maintenance platform launched trial operation, based on the Internet, artificial intelligence (AI) and big data technology, through the integration of data resources and original data precipitation, to create a set of equipment monitoring, early warning management, maintenance and maintenance in one of the intelligent management system, to achieve a full range of lifting equipment, all-weather, intelligent monitoring and management.

Jia Guannan, general manager of Guangdong Yongtong Lifting Machinery Co., LTD., introduced that the crane control box is equipped with information collection stations, and this "intelligent eye" can capture the data of equipment operation in real time, including the total operation time, load situation, lifting times, and all kinds of potential fault information, and transmit it to the maintenance platform through the cloud. It provides solid data support for the health management of equipment.

Through real-time monitoring and big data analysis, the platform can quickly identify abnormal conditions in equipment operation and immediately send early warning information to users. Whether it is through the APP or the PC, the user can obtain the specific fault location, cause and recommended repair plan of the equipment in the first time, which greatly reduces the fault response time and reduces the production loss caused by downtime.




"Previously, we relied on manual inspections, which took at least four hours from finding faults to scheduling repairs. Now with the real-time monitoring of the maintenance platform, this process is reduced to half an hour." Lu Jiajie, after-sales operations manager of Guangdong Yongtong Lifting Machinery Co., LTD., said that the platform can monitor equipment in real time over limit, overload alarm, and excessive current and other abnormal conditions. For example, the current caused by relay damage is too large, or the service life of the wire rope and key components is expired. Once the anomaly is detected, the company will immediately confirm the situation with the customer, and quickly enter the maintenance work order interface, and send the order to the nearest maintenance point master for on-site processing, so as to eliminate security risks.

In addition to rapid response to failures, Yongtong maintenance platform also has data analysis and prediction capabilities. Through accurate monitoring of the service life of key components of the equipment, the platform can develop scientific and reasonable maintenance plans for users in advance. In this way, users can replace parts in time before they are aged or damaged, effectively avoiding safety accidents caused by parts failure, and greatly reducing equipment maintenance costs.

This also means that the maintenance of the crane is no longer passive waiting for the failure to occur and then repair, but can actively predict and prevent the occurrence of failure. Jia Guannan said that by realizing real-time tracking of equipment data, unnecessary human resource investment can be reduced, management costs can be reduced, and maintenance can be intervened in advance according to production plans to improve production efficiency. In addition, the platform also uses data analysis technology to accurately determine the fault unit of equipment operation, extend the service life of the host and spare parts, and greatly prevent the occurrence of safety accidents.

The launch of the maintenance platform is not only a major breakthrough for Yongtong in technological innovation, but also an important milestone in its transformation and upgrading to intelligence and the Internet of Things. Jia Guannan introduced that since March this year, all models issued by Yongtong have been equipped with intelligent operation and maintenance of the background data management system. In other words, the platform has become standard, promoting Yongtong to fully enter the era of intelligent operation and maintenance.

"Our manufacturing footprint in the Greater Bay Area is highly concentrated and we have a unique supply resource advantage. In the future, we will continue to increase investment in research and development on the basis of high safety and high quality, and achieve continuous technological innovation." Jia Guannan said.