Shared bicycle IoT technology, Mobike technology is far more powerful than ofo?

Abstract: Since Mobike first appeared on the streets of Shanghai in April 2016, its cool body and high-end manufacturing process have quickly attracted people's attention. The fiercely competitive shared bicycle market has attracted the attention of the public. In addition, the competition for capital and shared bicycles have become a part of people's lives, and their influence is also increasing day by day.

Since Mobike first appeared on the streets of Shanghai in April 2016, its cool body and high-end manufacturing process quickly attracted people's attention. The fiercely competitive shared bicycle market has attracted the attention of the public. In addition, the competition for capital and shared bicycles have become a part of people's lives, and their influence is also increasing day by day. As the first to apply IoT technology to shared bicycles, Mobike has established advantages in technology and management.

_Today

, Mobike has covered 130 cities around the world, accumulatively deployed more than 5 million smart shared bicycles, and each Mobike bicycle is equipped with "Beidou + GPS + GLONASS" multi-mode satellite navigation chips and IoT communication chips , built the world's largest mobile Internet of Things platform. The Internet of Things technology enables Mobike's massive big data to be transmitted to the cloud platform in real time and seamlessly for mining and analysis, thus paving the way for Mobike's big data artificial intelligence platform "Mobike". Today, Mobike has been the first in the industry to launch the big data artificial intelligence platform "Mobike", which is the first large-scale application of artificial intelligence (AI) technology in the field of travel. It has been used in cycling simulation, supply and demand forecast, parking forecast and illegal parking. Identification and other fields play an important role, greatly improving management accuracy and operation and maintenance efficiency.

After ofo

is connected to the NB-IoT Internet of Things, the ofo small yellow car can accurately monitor vehicles, and can monitor more vehicles at the same time, which not only helps to improve travel efficiency, but also helps to solve the problem that ofo is currently suffering from. Criticized indiscriminate parking problems. At the same time, ofo also uses the TensorFlow artificial intelligence system, which uses the convolutional neural network and the TensorFlow artificial intelligence system to make accurate predictions, so as to provide better decisions for operation scheduling. This intelligent operation method may be the future of shared bicycles and even intelligent travel. a trend.

According to data released by ofo, since its launch in June 2015, the platform has connected over 6.5 million shared bicycles, received over 25 million daily orders, and provided over 2 billion rides to hundreds of millions of users in over 150 cities in 5 countries around the world. travel service.

According to data from Mobike, it has launched more than 5 million smart shared bicycles, covering 130 cities at home and abroad, with more than 100 million registered users and providing more than 20 million rides per day.

Today, both Mobike and ofo have entered the E round of financing. Mobike proposed that it would join hands with the world's leading IoT partners to accelerate the advancement of mobile IoT technology and real-world applications; ofo said that in the future, it will start from a small yellow car and connect everything that can be connected through the practice of the Internet of Things. resources, and create an ecological closed loop based on artificial intelligence and the Internet of Things as the carrier. Such a statement shows that bike-sharing companies have begun to "paint cakes" on the Internet of Things.

With the development of technology, the application of IoT devices in various industries will be a major trend. In the highly competitive shared bicycle market, whether it is the Internet of Things or artificial intelligence, it takes time and data to tune and polish, but based on this The battle of data and efficiency above the two will definitely be the top priority of the next stage of the shared bicycle competition.

This article is edited and organized by Hangda IoT (www.lrist.com). If there is any infringement, please contact this site.


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