Bicycle intelligent supervision anti-theft system and method based on Internet of Things technology

Abstract

The invention discloses a bicycle intelligent supervision anti-theft system and method based on the Internet of Things technology. The system comprises a remote server, an intelligent lock terminal and a client. The remote server generates a key array which takes effect in different time periods and sends the key array to the intelligent lock terminal; the client sends a key obtaining request to the remote server, encrypts the timestamp according to the obtained key and then sends an encryption result to the intelligent lock terminal; and the intelligent lock terminal encrypts the timestamps of the keys in the corresponding time periods and then compares the encrypted timestamps with encryption results, when the encryption results are the same, unlocking is carried out, and if not, unlocking failure information is sent to the client. If the system can be connected with the remote server after unlocking is completed, the remote server generates a new secret key array, and the intelligent lock terminal performs synchronous updating. And if the communication cannot be temporarily carried out, the control module and the remote server utilize a predetermined algorithm to modify the effective time of the key, so that the situation that the same key is used for multiple times in a short time is avoided, and the security is improved.

Description

technical field [0001] The invention belongs to the technical field of bicycle intelligent monitoring, and relates to an intelligent bicycle supervision and anti-theft system and method based on Internet of Things technology. Background technique [0002] Today's smart bicycle locks are developed on the basis of the original mechanical locks, combined with IoT technologies such as GPS, Beidou and other positioning technologies, GPRS, NB-IOT, NFC and other communication technologies, as well as sensors and buzzers. Although the original mechanical lock has a certain degree of intelligence, its security, practicability and reliability are not high, and the cloud does not make full use of the location, speed and other information provided by the edge to give full play to its application in the Internet of Things. If fail to utilize existing technology to realize the intelligent management of vehicle. The main questions are as follows: [0003] (1) It takes a long time to unlo...

AI Technical Summary

Problems solved by technology

[0003](1) It takes a long time to unlock the smart lock through remote communication on the edge of the cloud

[0004](2) The power supply of smart locks in the existing market is limited, causing inconvenience to users

[0005](3) When remote communication cannot be used, normal and safe unlocking cannot be guaranteed

[0006](4) Previous Bluetooth unlocking, high power consumption and low security

However, the use of BLE requires positioning information to complete the unlocking process, which is cumbersome

[0007](5) Today's smart locks are mainly aimed at shared bicycles, ignoring the needs of private bicycles

[0008](6) Using the NFC offline encryption control method, although the offline safe unlocking is realized, it needs to communicate with the mobile phone and the cloud server many times. To perform new key generation, upload, verification and storage, consumes a lot of time and power consumption

[0010](8) When location information cannot be obtained, such as in tunnels, underground garages and remote areas, smart locks cannot provide safe and intelligent anti-theft

[0011](9) When lending a bicycle equipped with a smart lock to others, the authorization is complicated and slow, and the unlock password is provided directly so that the owner faces the question of whether to change the password afterwards Awkward

[0012](10) At present, it is difficult to supervise bicycles in colleges and universities, and there is no intelligent and effective management system

[0013](11) There is a gap in the dynamic adjustment of bicycle parking areas and parking time and corresponding bicycle supervision

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