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Science and Technology Daily reporter Cui Shuang
Shanghai Metro is the urban rail transit system with the longest total line length in the world. The number of metro vehicles and network operation scale both rank first in the world, with 7000 metro vehicles.
How to do a good job in the management, operation and maintenance of this complex system?
Under the leadership of Shanghai Shanghai Shentong Metro Co.Ltd(600834) , CRRC Changchun Rail Transit Co., Ltd., CRRC Qingdao Sifang Institute Co., Ltd., Tsinghua University and minglue technology have jointly completed the construction of Shanghai rail transit vehicle intelligent operation and maintenance system, and used intelligent technologies such as big data to improve the efficiency of metro vehicle operation and maintenance.
This is an epitome of the rapidly advancing digital transformation of various industries.
The importance of digital transformation is self-evident. In this year’s government work report, it is proposed to promote the development of digital economy. Strengthen the overall layout of Digital China construction. Build digital information infrastructure, promote the large-scale application of 5g, promote the digital transformation of industries, and develop smart cities and digital villages. Xiao Yaqing, Minister of industry and information technology, also stressed on different occasions that for the development of manufacturing industry, digital transformation is no longer a “choice”, but a “required course” related to survival and long-term development.
According to Jiang Ping, founding partner and President of minglue technology, digital transformation is a “required course” in all walks of life from manufacturing to service industry.
form a corporate culture based on data
According to Jiang Ping, taking Shanghai Metro as an example, its intelligent operation and maintenance system is composed of vehicle networking subsystem, trackside comprehensive detection subsystem, vehicle maintenance track subsystem and vehicle big data platform serving the whole road network. Through big data technology, the real-time sensor data, video and picture data of vehicles are integrated into the big data platform to realize automatic monitoring and early warning; The trackside vehicle intelligent detection system uses infrared, laser, camera and other equipment, machine vision, sensing technology, calculation and artificial intelligence to realize the automatic detection of the train without stopping, and change the previous practice of manual inspection on the train.
Taking line 17 as an example, through the vehicle network subsystem that has been implemented on the ground, the vehicle inspection is changed from one inspection every day to one inspection every 8 days, which greatly reduces the workload of operation and maintenance and improves the efficiency.
In an interview with reporters, Jiang Ping admitted that in the past, so many companies have made digital transformation, but in fact, minglue’s own working method is still very traditional and not digital, which is also a common problem faced by a large number of industry enterprises. Jiang Ping mentioned that the Beijing Vastdata Technology Co.Ltd(603138) , owned by the enterprise, is used to support the healthy operation of a business, a department or even an enterprise. But the reality is that for many enterprises, these data are often scattered in different equipment and departments. Enterprises can not mine and use valuable data as a whole, let alone make scientific decisions based on data analysis. “The root of this problem is that the corporate culture based on data has not yet formed.” He said.
“In 2020, after two months of thinking, we are determined to do a good job in minglue’s own digital transformation first, and found the entry point of enterprise wechat.” Jiang Ping takes himself as an example. Firstly, the connection between enterprise wechat and wechat has been realized. Employees in the company can add wechat of external customers through enterprise wechat, which lays a foundation for digital customer management. Secondly, corporate wechat, Tencent conference and other office collaboration tools can provide the basis for the digital transformation of internal employees and knowledge management. Through its own data platform built on the enterprise wechat and the self-developed AI algorithm platform, it clearly realizes the applications of intelligent customer service, sales management, employee intelligent assistant, knowledge and training management, and becomes a digital management tool among customers, employees and consumers.
realize digital transformation step by step
The good thing is that in the past two years since the outbreak of the epidemic, the whole society has a high demand for digital transformation, and the largest scale of social education has been completed. Now, digital transformation has become the consensus and need of the public.
In this context, Jiang Ping said that the speed of digital transformation of the whole society will be greatly improved.
Jiang Ping said that the core production factors and core value creation activities of each enterprise are different. Only by digitizing the core production factors and core value creation activities can an enterprise truly achieve digital transformation, “For example, the core production factors of consumer goods are consumers and products, and the core production factors of rail transit are vehicles and tracks; the core value creation activities of consumer goods include marketing and supply chain.”
“For different enterprises, digital transformation should be implemented step by step, not big and fast.” Jiang Ping stressed that digital transformation should be completed through “four steps”: data online, exploration and analysis, knowledge accumulation and intelligent decision-making.
First of all, data online is to make the business online and connect the data. As the core production factor in the future, data will become the core of the digital reform of enterprises and governments.
After the data is online, the second step is exploration and analysis. Specifically, the exploratory analysis with the knowledge map as the core can carry out the analysis of any dimension, find out the law between the data and find the value of the data, so as to meet the continuous changing needs of complex organisms such as enterprises or cities.
The third step is to accumulate knowledge, accumulate industry experience, form knowledge assets and program them, such as machine learning or expert system, and finally gradually form wisdom.
The last step is intelligent decision-making. In the process of continuous exploration and analysis, through continuous knowledge accumulation, the intelligent degree of the system has been continuously improved. It can carry out information linkage and analysis based on the data center, and help form intelligent decision-making in different dimensions.
“Through the above four-step strategy, enterprises can realize digital transformation step by step in stages, lay a good digital foundation for long-term development, invest moderately, and make steady progress.” Jiang Ping said that it is worth noting that in this year’s government work report, the digital economy has been specially completed. It is believed that under the general tone of economic work with stability at the head and seeking progress in stability, the importance of digital empowerment is becoming more and more prominent, and the accelerating digital transformation will also provide surging momentum for high-quality economic and social development.
