标签归档 西安桑拿会所

The project team successfully upgraded the public from traffic information users to traffic information collectors

On October 9th, at 18:00, due to the unlimited number, the evening rush hour in Beijing was particularly congested that day.

But for Qi Peng, who commutes between Tongzhou and Zhongguancun every day, dealing with such congestion is "very good". Before setting out, he always uses the mapping software on his mobile phone to navigate, so that he can choose the best driving route.

"Mobile navigation is one of the most frequent apps I open every day. Whether I’m driving or taking public transportation, it allows me to reach my destination accurately and quickly," Qi Peng told reporters.

Nowadays, with the rapid development of cities in our country, the increase in car ownership, and the development of mobile Internet, there are more and more people like Qi Peng, and smart travel has become the "new normal" for many people.

So, how can these navigation software that acts as a "guide" provide accurate road conditions to avoid congested roads? How can navigation software provide reasonable travel plans to help us reach our destinations easily?

In this regard, the "Urban Traffic Guidance and Navigation Travel Key Technology and Application Service" project team composed of the Institute of Geographic Resources of the Chinese Academy of Sciences, Zhangcheng Technology, Qianfang Group and other units has spent many years of research, using satellite positioning, mobile communication, high-performance computing, geographic information system and other technologies to implement the real-time perception of the status of urban and intercity road traffic systems, accurately and comprehensively providing traffic conditions to the people through mobile phone navigation, roadside electronic bulletin boards, traffic radio and other channels. On this basis, the integrated driving behavior real-time sensing and analysis technology to achieve multi-mode and multi-standard dynamic navigation for public travel, improve travel efficiency; and assist traffic management departments to formulate traffic management plans, promote urban energy conservation and emission reduction, and improve urban operation efficiency. In the 2015 Beijing Science and Technology Awards review, the project won the first prize.

Create a national traffic information map

During the driving process, the navigation software would issue instructions and prompts in real time: "Turn left 100 meters ahead" "Congestion ahead is one kilometer, it is expected to take 5 minutes to pass"… Many people would be surprised, why is the navigation software so "smart"? Is it relying on the cameras on both sides of the road or the induction coil buried in the ground?

Lu Feng, the project owner and a researcher at the Institute of Geographic Resources of the Chinese Academy of Sciences, told reporters that traditional traffic information acquisition relies on devices such as induction coils deployed under road sections or video probes above roads. "These devices are fixed in location and have high costs, so they cannot fully reflect the real-time status of urban traffic."

Therefore, the project team must "find another way".

The project team "targeted" the taxis. Since the taxis were equipped with satellite navigation and positioning, they could periodically send back location and status information to the monitoring and dispatching center. These taxis that cruised the streets every day became an important source of urban traffic information collection.

However, taxis are not a "one-and-done" solution. After all, the scale and range of taxis are limited. Especially with the increasing popularity of self-driving travel, timely access to inter-city and even national traffic information has become a "rigid demand" for people to travel.

The project team decided to build a new "traffic status induction coil," which covers a wide range of areas, including long-distance buses and trucks, monitoring tracks, mobile phone map client side tracks, Internet websites and social network text messages.

"According to the requirements of the state, all long-distance buses, tourist chartered buses, dangerous goods transporters and general cargo trucks across the country must be equipped with mandatory traffic monitoring equipment to monitor the whole process of driving, prevent drivers from driving fatigue and reduce traffic accidents. These instruments will upload the driving track of the car in real time, and the accuracy rate is extremely high, so that we have a mobile information source covering the whole country," Lu Feng said.

Not only that, the project team also keenly observed that in the Internet age, a large number of users use mobile map services online every day, and these high-frequency satellite positioning trajectories have undoubtedly greatly expanded the ranks of car-based mobile information sources. In addition, there is a huge amount of traffic information on the Internet, both official and netizens’ own road conditions, road books and other information posted on social networks. So, can we make full use of these high-frequency trajectories of Internet maps and massive text on social networks to give full play to the power of the masses and obtain real-time traffic information?

In response to these technical bottlenecks, the project team broke through technical bottlenecks such as large-scale high and low frequency moving target trajectory map matching and traffic state analysis, Internet and social media text contains traffic information extraction, and multi-source traffic information real-time fusion, and built a service delivery and user feedback traffic information ecosystem. A nationwide traffic information service system was established, and a national traffic information map was realized.

The project team successfully upgraded the public from traffic information users to traffic information collectors. This information provides people with the operation status of the urban road network, effectively guides people to travel and avoid congested road sections.

"When you open the navigation software, your current traffic information will be automatically uploaded, which means that everyone is both a beneficiary and a provider of traffic information, which is also a manifestation of the Internet sharing economy," Lu Feng said.

It is reported that today, the system processes more than 2 million taxis and vans, more than 8 million mobile phone map tracks, more than 10,000 fixed sensors, and more than 10,000 traffic event texts every day.

The efficiency of navigation map update is greatly improved

In navigation, we often worry that map updates cannot keep up with changes in roads or surrounding business districts. Due to the intensive construction of cities and frequent changes in commercial outlets, current applications such as mobile maps generally have insufficient timeliness.

In the past, navigation map updates had to be done by collecting vehicles and other means. Unlike ordinary vehicles, there was a half-meter-high white shelf on the roof of the collecting vehicle, and the camera on the shelf could take a full-angle shot of the surrounding scenery, and then transmit it to the computer. Then, the data operator would post-process the captured video, generate or update the navigation map, and store it in the system.

"This kind of update is very labor-intensive, and often a navigation map company has to maintain a data collection and update team of several hundred people, and the cost is huge," Lu Feng said.

The project team believes that the mobile Internet has provided a good information sharing environment for businesses and the general public, and various time-sensitive road network maps and business service information have emerged in an endless stream. If these non-professional maps originated from volunteers are integrated with professional navigation map data, they can provide services to the general public faster and better.

In response to this technical bottleneck, the project team conducted in-depth research, first proposed a geometric pattern-based interest point and road network integration model, established a mapping relationship between the two, and broke through the problem of semantic consistency detection. Then, a heuristic probabilistic relaxation matching model was proposed to achieve the perfect integration of volunteer sources and commercial navigation road networks, with matching accuracy better than 95%, effectively ensuring the richness of information in travel navigation and map applications.

Convenient and accurate multimodal path navigation

Nowadays, the use of mobile phone navigation is not only in driving, but also in the bus, subway, bicycle or walking.

When we go to unfamiliar places by public transportation, we usually need to consider a series of questions: which bus to take? How to get to the bus stop? Which subway to change? How to change to the subway? Which subway exit to enter and exit from? How to get to where we want to go after getting out?…

Due to the differences in the road network environment, these personalized multi-mode travel needs are becoming increasingly prominent. Coupled with the real-time changes in road condition information and the rapid changes in the road network environment, how to provide multi-mode, multi-standard and reliable travel route choices according to the needs of the people?

In response to this problem, the project team developed a travel path planning algorithm group that takes into account different travel standards (short time, low cost, low fuel consumption, less transfer, etc.) and involves different travel modes (self-driving, taxi, bus, subway, walking, etc.).

The algorithm breaks through the technical bottlenecks of multi-mode traffic network spatial data model, multi-mode connectivity automatic processing, reliable travel time prediction, multi-mode multi-standard reliable path planning, multi-user concurrent path query load balancing, etc., and realizes the upgrade of the navigation system.

"We can provide a reasonable travel plan based on the starting and ending points set by the people themselves, and help the people reach the destination conveniently," Lu Feng said.

Environmentally friendly driver assistance systems reduce energy waste

Advocating green travel and achieving energy conservation and emission reduction is the eternal pursuit of urban transportation. Drivers’ bad driving habits often increase the fuel consumption cost of cars, resulting in energy waste and environmental pollution.

In response to this problem, the project team developed an environmentally friendly driving assistance system to provide drivers with a driving strategy suggestion function. This function uses mathematical modeling to transform environmentally friendly driving problems into optimization problems, and calculates the speed range of the car through traffic flow modeling. Then, the optimal driving strategy (optimal gear, speed) of the car in each speed range is solved through the equation between fuel consumption and the driving speed, gear position, and engine load of the car.

The system also collects vehicle driving data such as engine speed and acceleration through a variety of sensors to judge the driver’s environmental protection driving level, establish an incentive mechanism for environmental scoring rankings, and promote a benign change in drivers’ driving habits. At the same time, combined with real-time traffic information, a dynamic path method for energy-saving and environmentally friendly driving has been developed, providing people with green travel planning for energy conservation and emission reduction.

It is understood that the real-time traffic information released by the project covers major highways, national highways and provincial highways across the country (with a mileage of more than 85,000 kilometers), as well as 47 large and medium-sized cities such as Beijing, Shanghai, Guangzhou, and Shenzhen, with an accuracy rate of more than 90%. The research results are directly transformed into three software products and a traffic information service website, and through traffic information services and traffic information technology services, it has successfully cooperated with Internet manufacturers, automobile manufacturers, navigation map manufacturers, and mobile communication operators. The users of traffic information products exceed 200 million, and the daily visits exceed 10 million, generating direct economic benefits 120 million yuan.

The research results of this project have greatly improved the technical level of our country’s traffic information service industry, promoted the formation and improvement of our country’s traffic information service technology system, provided mature traffic guidance information support for large and medium-sized urban traffic management departments across the country, and provided hundreds of millions of users across the country with all-weather and large-scale smart travel information services. (reporter, statement)

At present, the digital economy characterized by information technologies such as 5G, big data, AI and artificial intelligence has swept the world, profoundly changing the production and lifestyle of human beings and becoming a new kinetic energy and new direction of global economic development.

As an important material basis for the survival and development of human society, energy plays an important role in the digital economy. The United Nations report on digital economy in 2019 shows that energy infrastructure will become an important foundation of digital economy to ensure the efficient and reliable operation of digital technology.

With the rapid development of the digital economy, the digital transformation of the energy industry has also entered the fast lane. Energy digitalization is regarded as an important driving force to realize the transformation and upgrading of the traditional energy industry and revitalize it, which is expected to reshape the global energy development trend.

However, while the digital transformation of energy helps the world’s energy pattern to be profoundly adjusted and the energy structure to be continuously optimized, the challenges and development bottlenecks it faces cannot be ignored.

How to use digital technology to break industry boundaries and lead the energy industry to transform into low-carbon, electrification, digitalization and intelligence? How to improve energy efficiency and reduce maintenance costs? How to seize the new "foundation" and reshape the power generation structure, so that clean energy power generation can rise from supplementary energy to main energy?

On September 24th, during the period of Huawei Connect 2020, Zhou Taoyuan, President of Huawei Digital Energy Product Line, Zhou Liang, Chief Marketing Officer of Huawei Digital Energy Product Line, and Peng Jianhua, President of Huawei Site Energy Field, expounded how Huawei Digital Energy will break the bottleneck restricting the digital transformation of energy one by one around the theme of "leading energy digitalization and building a green and intelligent world".

Huawei is fully connected to the 2020 media round-table interview site.

Huawei’s determination

Perhaps the renaming of Huawei Digital Energy can better reflect its determination to break down industry barriers and provide green power for the smart world.

Zhou Taoyuan, president of Huawei’s digital energy product line, said in an interview that "Huawei’s network energy was officially renamed Huawei Digital Energy in May this year", which is the symbolic signal of Huawei’s deep cut into the digital energy market.

Behind Huawei’s deep penetration into the digital energy market is its deep understanding of energy digitalization.

While digital technology is deeply integrated with all walks of life, its own development also needs strong energy base to support it, so as to eliminate the energy gap in the digital world, accelerate the deployment process of digital infrastructure, realize the sustainable development of the digital world, and let more people enjoy the convenience and beauty brought by the digital world.

"Huawei wants to be the energy base of the digital world, organically combine power electronics technology, ICT technology, artificial intelligence technology, big data and cloud, manage watts by bits, lead the digital transformation of energy, and make energy extremely simple, green, efficient, intelligent and reliable, thus helping clean energy become the main energy and building a green and intelligent world. This is Huawei’s goal in the energy field." Zhou Taoyuan said.

A passage from the official website of Huawei Digital Energy not only explains the company’s mission and value, but also specifically explains the concept of "energy base" at the product level:

The intelligent world of the Internet of Everything is coming. Facing the challenges of the new era, Huawei Digital Energy can provide energy solutions that fully meet the application scenarios of the ICT industry, including all-scene intelligent sites from fixed network to wireless and intelligent data centers from edge to cloud. It helps telecom and tower operators achieve green, efficient, safe, reliable and intelligent business, and supports the smooth evolution of ICT networks to 5G and all-cloud.

At the same time, Zhou Taoyuan further added, "For many years, Huawei has been hoping to use communication and connection technologies to make energy into a network that can be correlated and managed. With the advent of the digital economy, it is necessary to superimpose advanced technologies such as big data, AI, 5G, cloud and artificial intelligence to solve application problems such as high energy consumption, low energy efficiency and operation and maintenance. It is necessary to introduce it into the energy industry through more digital means, and truly realize the conversion, storage and control and support of digital technology to electric energy. Therefore, Huawei Network Energy officially changed its name to Huawei Digital Energy ".

Digital Energy "Inverter" Smart Photovoltaic

In fact, before the name change, Huawei Digital Energy has been leading the digital transformation of energy. Among them, the most representative is its successful application in smart photovoltaic power plants.

"Smart photovoltaic is the application of integrating ICT technology with photovoltaic, which has brought the ultimate improvement in efficiency to the industry." Liang Zhou, chief marketing official of Huawei’s digital energy product line, said, "Huawei is the first enterprise in the industry to introduce AI technology into photovoltaics. Huawei’s AI technology and experience can be reused in the photovoltaic field. This innate cross-border innovation technology and resources are not available to peers. "

Fang Liangzhou’s speech film shows that the AI applications of Huawei digital energy in photovoltaic industry include intelligent SDS, intelligent IV, intelligent grid connection, intelligent AFCI, fast turn-off technology and intelligent image recognition.

Among them, intelligent IV diagnosis is a successful application of AI technology in intelligent photovoltaic power station, which subverts the traditional manual inspection method. The traditional way is to manually go to the station for inspection, take the equipment and check it by sampling, which is like looking for a needle in a haystack and has great uncertainty.

Huawei intelligent IV diagnosis can remotely confirm the fault location and type of photovoltaic string by using the string current and voltage data collected by the string inverter combined with big data mining and AI identification algorithm.

Through one-click scanning, the 100MW power station can automatically generate fault diagnosis reports of all the strings within 15 minutes. The operation and maintenance time has changed from the original month to the minute.

In fact, when Huawei first entered the photovoltaic field, it took the series inverter as the starting point. The photovoltaic inverter market is mainly divided into two technical routes: centralized inverter and series inverter. At that time, the industry generally believed that centralized inverters were suitable for large-scale ground power stations, and series inverters were more suitable for distributed power stations.

When the centralized inverter is the absolute mainstream of the market, Huawei is different from its peers in the industry in introducing series inverters. However, Huawei’s series inverters have finally withstood the test of the market.

Fang Liangzhou believes that "the multi-channel MPPT function of series inverter is not affected by module differences and shading between series inverters, which minimizes the mismatch of photovoltaic modules, thus bringing higher power generation. When the abandonment failure occurs, the affected loss is lower, and the life cycle maintenance cost is lower, which objectively increases the power generation and reduces the maintenance cost. "

According to incomplete statistics, more and more large photovoltaic power plants have begun to use series inverters. In the bidding of the five major power generation groups, more than 80% of them use series inverters, and series inverters have become the mainstream of the market.

Digital energy empowers "new infrastructure"

Huawei’s leading role in the digital transformation of energy is also reflected in its strong green and intelligent Internet data center.

As we all know, this year, the National People’s Congress and the National People’s Congress wrote the new infrastructure construction into the "Government Work Report" for the first time, which pressed the "fast forward button" for the transformation of China’s digital economy. No matter in the seven directions of "new infrastructure" defined by CCTV or the main areas announced by the National Development and Reform Commission, the data center is undoubtedly one of the protagonists.

However, the acceleration of "new infrastructure" has injected momentum into the development of China’s digital economy, but it is also accompanied by many challenges such as long construction period, high energy consumption, difficult operation and maintenance, safety and reliability.

How to deal with these challenges? The digitization and intelligent upgrade of the data center itself has become the key. Fang Liangzhou said, "Huawei, which has been deeply involved in the field of ICT for many years and has strong technical advantages and profound experience in the fields of 5G, Internet of Things, cloud computing, big data and artificial intelligence, has proved the green power injected by digital energy into the’ new infrastructure’ with its digital transformation solutions specially launched for the’ new infrastructure’ and practical cases that have successfully landed."

Specifically, Huawei’s next-generation data center adopts a fully modular design idea, which greatly shortens the construction period while fully meeting the differentiated needs and can be delivered within 6 months; Based on AHU and icooling technology, the PUE value can be reduced by 0.08-0.15; Through the power module and lithium battery, the floor space is reduced by 40% and the out-of-cabinet rate is increased by 10%; Use DCIM and 3i (iPower, iCooling, iManager) to reduce operation and maintenance costs and manual misoperation. Thus, "let time be visible, let funds be used rationally, and let IRR improve quickly"

Huawei has also made great achievements in the construction of ——5G base stations, another important part of the "new infrastructure".

"In the past, the digitalization of site energy was not enough. Many operators were not sure about the actual energy consumption, power reserve, inaccurate battery allocation, and whether the safety and reliability were guaranteed. Therefore, it is imperative to eliminate the digital site energy gap while accelerating the digital transformation of the industry," said Peng Jianhua, president of Huawei’s site energy field. "Huawei launched a 5G complete solution iSitePower based on industry sites. From the components to the site to the whole network, we know and have products and technologies. Through the integration of power electronics, AI and other technologies and the cooperation of industries, we can achieve’ 5G without electricity charges’.

In a word, Huawei is redefining the energy infrastructure with digital technology, vigorously developing the digital energy industry, focusing on smart photovoltaics, data centers, site energy and many other fields, providing minimalist, green, intelligent and safe solutions to help the high-quality construction of "new infrastructure".