Active RFID2.4G Electric Bicycle Intelligent Anti-theft Cloud Platform,RFID Bracelet Hf

　　Active RFID2.4G Electric Bicycle Intelligent Anti-theft Cloud Platform

　　Application background

　　With the rapid development of the urban economy, the number of electric bicycles, as the main means of daily travel for the public, has increased rapidly. The number of electric bicycles in the country has reached 200 million by the end of 2014, and the number of electric bicycles is increasing every year by 20 million. The relative security problem is also year by year. In addition, electric vehicles are frequently stolen, which not only brings trouble to themselves, but also brings pressure to police work. Moreover, most of the electric bicycles have not been registered and registered, and it is difficult to retrieve them after being stolen. It is also difficult to confirm the owner of the stolen vehicles that have been seized. The anti-theft management of electric bicycles needs to be strengthened urgently.

　　With the increasing maturity of RFID technology with fast processing speed, accurate data and strong automatic identification ability, the "RFID anti-theft system" that installs "RFID ID cards" on electric bicycles came into being, and made electric vehicles and high-value bicycles from the source. and other vehicle management. With the help of the urban Internet of Things perception system, car owners can use their vehicles safely, and they can also provide public security and traffic police with means and evidence to solve cases quickly. In the past, the loss of electric vehicles in residential areas or schools was mainly because the number of bicycles was not clear, and the identity of the owner was unclear. With the RFID anti-theft management system, it is possible to conduct scientific and effective whole-process management of electric vehicles from sales and use.

　　Wanlida Technology's RFID electric bicycle intelligent prevention and control management platform based on the integrated system of smart city Internet of Things perception is an electric vehicle information management platform that integrates RFID automatic identification, Internet of Things perception and communication, mobile Internet and other technologies. The system provides functions such as vehicle registration, real-time location monitoring, driving track playback, security point setting, vehicle scanning detection, suspicious vehicle tracking, and lost vehicle management.

　　System advantages

　　1. Based on a smart city IoT perception comprehensive system based on millions of users, it can realize the integrated perception and multi-directional three-dimensional management and control of people, vehicles and things.

　　2. The system monitors the electric vehicles within the coverage area 24 hours a day, and records the travel trajectory and current location of each vehicle.

　　3. Low cost, strong scalability and high utilization rate:

　　4. The advanced cloud platform and powerful mobile APP can be used anytime and anywhere, which is simple and convenient.

　　Features

　　It has functions such as registration, real-time monitoring, historical track query, electronic security, police daily inspection, data statistics and analysis, insurance management, etc.

　　Hardware composition

　　base station

　　The base station is installed on the lighting poles or urban monitoring poles in important intersections, streets, parking lots or communities. When the licensed vehicles pass by, the electronic tag information on the licensed vehicles will be automatically sensed at a distance and uploaded to the cloud through the 4G wireless network. server. Automatic sensing distance: 30~300 meters. equipment. With 4G direct networking, 2.4G RFID sensing, IP65 protection level, AC direct power supply, remote firmware upgrade and other functions and features, it is suitable for outdoor installation and use.

　　Vehicle-specific electronic tags, using 2.4g frequency technology, have a very good ability to pass through obstacles, and the recognition distance can reach up to 300 meters. quantity.

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