In the soon-to-be past 2021, the Internet enterprise cross-border car-making, Ningde Times market value broken trillion, new energy automobile concept plate frequently take the list of rising closing ...... behind these annual keywords, the automotive industry "hot" A glimpse of the spot.
The automotive industry has never been like today, in a variety of new technological changes in the intersection of AI, big data, cloud computing, IoT and other technologies are y changing the field of automotive and travel. Whether it is a new energy car-making new forces, or the transformation of traditional car companies, the essence of the automotive industry has begun to shift from a "product-centered" manufacturer to a "user-centered" mobile travel service provider. IDC data shows that in 2020, the global shipment of intelligent networked vehicles will be 44.4 million units, and by 2024, the global shipment of intelligent networked vehicles will reach 76.2 million units. This is a four-year compound growth rate (CAGR) of 14.5%. It is predicted that by 2024, more than 71% of new cars shipped globally will be equipped with smart internet systems, the market will gradually mature, and the future of mobility is here. Behind these figures, it is also predicted that the entire automobile and even the mobile travel industry will spawn more application scenarios in the future, driven by the trend of autonomous driving and intelligent networked vehicles. "People, roads and cars are being redefined again, and this change is both an opportunity and a challenge for car companies.
Is digital transformation an option or an optimal solution for the automotive industry?
Digital transformation is an "optional" or "optimal" solution for the automotive industry, and how can innovative technologies better integrate with business?
On December 19, the 2021 Zhongguancun Digital Economy Industry Alliance Member Congress and Huawei's Beijing City Summit were held. At the summit forum "Leading the Automotive Intelligence Era" held in the afternoon, a number of automotive industry enterprises, including FAW Jiefang, Sunshine Travel, and Hodo Technology, shared their digital transformation experience and discussed the opportunities and challenges of the automotive industry. The following author will take a look at the ta in the front line position of digital transformation, how to do?
FAW Jiefang: Under the background of digitalization, Jiefang's road to cloud
July 13, 1956, in Changchun City, the first automobile manufacturing plant assembled the first Jiefang brand car, China ended the history of the inability to manufacture cars. The development of FAW Jiefang for more than 60 years represents, to a certain extent, the progress of China's automobile industry.
FAW Jiefang, as a commercial vehicle enterprise of FAW Group, is also a representative of the traditional vehicle enterprises camp, for the energy and digital revolution it is facing, in the words of Chen Lei, CIO of FAW Jiefang, is "anxious". "First of all, the traditional advantages, under the energy revolution, the 'moat' has been knocked out. For traditional IT departments, digital transformation is also not a part of their own expertise, so they need partners to assist *** with digital transformation."
In September 2020, the State-owned Assets Supervision and Administration Commission (SASAC) officially issued the Notice on Accelerating the Digital Transformation of State-owned Enterprises (SOEs), which clarifies the basis, direction and strategy of the digital transformation of SOEs, and opens a new chapter of the digital transformation of SOEs. FAW Group, on the other hand, officially launched a group-wide digital transformation strategy in 2019, formulating a complete strategy of "digitally driven fabulous mobility". FAW Jiefang also carried out the corresponding deployment and implementation in accordance with the overall planning of the group.
Chen Lei recalled, "From March 2018, Huawei provided FAW Group with DST, a methodology for the entire process from strategic planning to implementation, based on which FAW Jiefang's digital transformation strategy was formulated. Through the introduction of ICT digital technologies, which are highly integrated into business and products, digital business (digital marketing, digital R&D, digital production, digital supply chain, digital products/services) is created, ultimately realizing a new business model in which the user is the center of the experience, the platform is the basis of the operational efficiency, and data is the asset. Through the 'two-wheel drive' of business and digital technology, we will return to business value creation and technology-driven product innovation. Digitalization Department was established in March this year, in order to unify all the IT functions of the Liberation Group, in the hope of unifying the architecture, unifying the base, and then being able to better reduce costs and increase efficiency as well as respond to the needs of the business."
In the entire digital transformation strategy, "going to the cloud" is a top priority, internally known as "liberation cloud". Since 2018, Telematics has been placed on Huawei's public cloud, and after more than three years, it has connected more than a million vehicles and more than a million customers and users. From 2019, the private cloud is continuously built, starting the private cloud construction, expanding to 17 nodes one after another, and in October 2020, the second phase of the private cloud construction, **** 12 computing nodes, IaaS expansion and PaaS construction.
Chen Lei revealed that the initial cloud selection was made with full consideration of FAW Jiefang's business characteristics; first, FAW Jiefang has its own factories in multiple cities or regions across the country; second, the business scenarios are diversified in the face of new businesses such as medium and heavy-duty trucks, light-duty trucks, new energy sources, and overseas future solutions; and, again, historical legacy systems and technology stacks are relatively complex. "In our view, Huawei was able to summarize its capabilities through its own practical experience, and do a detailed compendium and planning of our business to guide FAW Jiefang gradually to the cloud."
In terms of the specific effectiveness of going to the cloud, Chen Lei cited two examples:
1. Constructing a high-performance computing platform on the cloud through Huawei Cloud.
As we all know, in product development in the automotive industry, the investment in CAE simulation and design is increasing year by year, and the amount of CAE calculations is large, the performance requirements for HPC hardware are high, and the cluster size is large. In a fiercely competitive environment, product development efficiency needs to be urgently improved to accelerate the TTM of new cars. The demand for HPC from various R&D departments shows an obvious peak to trough distribution, with peak demand exceeding the usual 2-3 times, and the local resource pool obviously cannot quickly meet the business requirements. Huawei Cloud breaks through the limitations of traditional supercomputing centers through elastic expansion, providing unlimited computing and storage capacity and real-time application to the latest high-performance technology products. The flexible rent-as-you-go model saves the construction cycle, and the diversity of configurations meets different scenarios. Online and offline collaborative scheduling, unified scheduling of resources according to the elasticity of demand, complement each other, shorten the job computing time, meet the unexpected demand, support rapid response to the business of research and development.
2, "liberation line" car networking cloud-based architecture to enhance user experience and efficiency.
The brand name of FAW Jiefang's Telematics is "Jiefang Xing". Through three years of continuous development and iteration, medium and heavy trucks, light trucks, and new energy trucks are also included. The Tbox is installed in Huawei's public cloud, with millions of vehicles and more than a million users online in real time. The Huawei Cloud-based hybrid cloud meets the high scalability, Huawei Cloud MRS + Huawei Cloud OBS realizes the separation of computing and storage, as well as the flexible scheduling of computing resources and tasks, optimizes the data lake back-end data model, and combines with the Dayu platform to create a data *** enjoyment service, optimizes the data of users, and optimizes the data of users, and optimizes the data of users. *** enjoyment services, and optimize the performance of user self-service queries.
"After five years of cooperation with Huawei, especially the in-depth cooperation with Huawei Cloud in the last three years, we feel more and more that Huawei is able to meet FAW Jiefang's demands for strategic transformation well, no matter in the aspects of digital transformation consulting, including cloud-related business, and talent training." Chen Lei said. It is understood that in November, FAW Jiefang and Huawei once again signed an agreement to deepen strategic cooperation, in the future, Huawei's digital experience, cloud computing and other technical capabilities will be more in-depth way to continue to empower the transformation of FAW Jiefang.
Chen Lei, CIO of FAW Jiefang
WoDo Technology: Reflections on Automatic Driving Full Scenario Mass Production Practice
Automatic driving is a heavy task and a long way to go.
As a mass-production-leading automatic driving enterprise, Hodo Technology focuses on two major scenarios, driving and parking, to create a mass-production solution driven by local data. "To open up the scene is more important than the level, and extensive operation is more important than unmanned operation", in the view of Wang Zheng, vice president of Wodo Technology, this is a must go through the future of the real mass production of automatic driving landing. Highway and parking lot is relatively faster to realize the automatic driving landing application scene, Hodo technology to these two scenes for mass production entry point, and then through the city scene, and ultimately realize the whole scene of the deployment of unmanned driver solutions.
How difficult is it to put automatic driving on the road? When it comes to automatic driving technology, there are Waymo, which represents the leapfrog route camp, and Tesla, which represents the progressive route camp. Hodo is taking the progressive route. "To solve 10,000 scenarios there may be 10,000,001 scenarios, and only by massively accumulating data traveling on the road can we solve the problem of the long tail of automatic driving." Wang Zheng said, at present, many domestic OEMs and WoDo signed a contract for mass production of platform-based automatic driving, it is expected that in the next 5 to 10 years, equipped with WoDo's automatic driving solutions will have nearly ten models, will reach a million quantitative delivery, the vehicle in the next 5-10 years on the road to accumulate millions of square meters of data, for the algorithms and data iteration of the automatic driving will be a leap forward.
In 2021, Huawei Cloud and Wodo signed a cooperation agreement to start working together to realize large-scale nationwide actual road testing and data accumulation, including multi-dimensional data on different weather conditions, road environments, road participants, and driving behaviors. Through the Huawei Cloud-assisted big data platform for self-driving vehicles built by Hodo, the data will be extracted by algorithms for different scenarios, and put on the simulation platform to feed the algorithms, to close the data loop. In addition, the mass-production autonomous driving system will collect crowdsourced maps at the same time, update them through the cloud, and push them to the terminal vehicles through OTA, and these two closed loops will perfectly realize the iteration of algorithms and maps for future autonomous driving.
In addition, WoDo with the help of Huawei MDC empowers the strongest brain of automatic driving, deployed on top of the MDC610, which can realize the effect of real-time perception of 2D and 3D mass production. Pilot driver assistance system based on Huawei MDC610 has also been deployed, which can realize complex functions such as up and down ramps and long curves driving.
In the future, automatic driving to unlock more scenarios is just around the corner.
Wang Zheng, vice president of Hedo Technology
Sunshine travel: how to make travel smarter
From the 18th century to the present, the biggest changes in the travel industry have occurred in the last decade. From the "net dating war" in 2012, to its five years to unify the entire Chinese user side of the travel market, to the emergence of more net dating platforms in 2018, the whole process seems to be a new business model spawned by information technology. The emergence of online taxi platforms has added a third-party platform side before the original users and drivers.
Sun Hongjing, CTO of Sunshine Travel, believes that the one-stop travel platform faces a huge market of different scenarios, and it is a big challenge to serve the whole scenario well through its own platform. "We believe that the whole industry chain from demand, service to the elemental market, if it is to make this market can run benignly, it needs more openness and cooperation in order to reach the stage of **** win." In this context and industry judgment, sunshine travel did not choose in the demand side, that is, the flow measurement, directly facing the passengers, but to take the capacity side of the service in the back of the major flow entrance platform. Specifically:
First, the establishment of the core engine. The traffic, the various platforms traffic re-aggregated together, and then distributed to the driver, with a fairer way or a more random way to distribute different orders to the driver.
Secondly, the driver management and risk control system is empowered by technology. For example, through the intelligent system to intelligently trigger the driver's learning and examination, through digital means for the driver management efficiency, improve the level of safe driving. Empowering the customer service side through AI means, committed to reducing the industry-wide average of 1% complaint rate to 0.5%, through the driver and passenger phone calls, the recording of the service process in the car, etc., into a means of service control, but also with Huawei Cloud *** with the same to explore how to use intelligent means to improve efficiency and customer satisfaction.
Once again, through the intelligent operation system, to distinguish in what kind of scenario, the driver can better go to the service, which has some price leverage and service system.
"What other innovations can there be in the field of intelligent traveling? The upstream and downstream of the industry chain are exploring, and Sunshine Travel is also practicing, we believe that in the supply and demand market to maintain open cooperation **** win, as a representative of the platform economy, the core is to create value through technical means." Sun Hongjing said.
Sun Hongjing, CTO of Sunshine Travel
Huawei Cloud: help car enterprises "build a good car, sell a good car, use a good car"
Behind the practice of digital intelligence in these car enterprises, I found a **** the same figure - the Huawei Cloud. Huawei Cloud. It is understood that 80% of China's TOP 30 car companies have chosen Huawei, and what is the reason?
After years of research and development and investment, Huawei has formed an overall layout of the automotive industry "cloud, pipe, edge, end", and in 2019, Huawei's rotating chairman Xu Zhijun announced Huawei's strategy for the automotive industry, that is, focusing on ICT technology to help car companies build good cars, and becoming a supplier of incremental components for the automotive industry. Zhang Xiuzheng, vice president of Huawei China and president of Huawei Cloud China, said in the sharing:
First of all, the key to building a good car is to realize digital research and development and production, and digitization has brought about a significant change in the added value of the value chain of automobile manufacturing is that it allows the added value of research and development and production to be greatly enhanced. In R&D, software, platforms, and data serve as key factors in enterprise value creation, such as automotive simulation, low-code development platforms, agile software development, self-driving model training, and big data. In production, the whole process of automotive production can be highly collaborative by modeling the people, machines, materials, processes and environment in the factory that produce the product, constructing a data base, and connecting through the Internet of Things and the Internet. Automotive companies through digital R & D and production not only solved the problem of building a good car, but also achieve a large-scale realization of cost reduction and efficiency.
Secondly, the key to selling a good car is to do a good job of digital marketing. With the increase in travel-related services of automobile enterprises, the interface and frequency of interaction between enterprises and consumers will also increase dramatically, automobile enterprises need to achieve user growth and maintenance of user activity through digital marketing, such as through multi-dimensional data processing technology, complete user profiling, growth analysis, intelligent marketing, etc., around the consumer user journey, precision marketing, promote consumer retention, test drive, car purchase, Maintenance, increase the exchange purchase, help user activity to improve, for the business growth of enterprises to help escort.
Once again, the key to using a good car is to realize the reconstruction of the value chain and digital travel. To solve the problem of digitalized travel, automotive companies need to invest in the entire Telematics platform, autonomous driving capabilities, and safe travel security. These are what Huawei, including Huawei Cloud, specializes in.
It is understood that, for the automotive industry, Huawei Cloud continues to work with partners/customers to ****together build solutions for the entire scenario of the automotive industry. In addition to the areas of autonomous driving, mobile mobility, and car networking, it also provides solutions for digital marketing, HPC, and data-enabling platforms to help automotive industry customers meet the challenges of the new era of smart cars:
For example. JLG cooperates with Huawei Cloud, and Huawei Cloud coordinates and plans a digital transformation implementation path for JLG. By building a smart headquarters, linking the four major segments, and establishing a perfect digital governance system, the company is gradually realizing six major enhancements: perceivable, insightful, predictable, collaborative, enjoyable, and integrated. By prioritizing the construction of the headquarters' digitalization project, it will realize the construction of the headquarters' digitalization capability and promote the "