A car rental management method and system based on the Internet of Things
A management method and management system technology, which can be applied to coin-operated equipment for distributing discrete items, data processing applications, buying and selling/lease transactions, etc.
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Embodiment 1
[0031] Embodiment 1: a kind of car rental management method based on the Internet of Things of this embodiment, such as figure 1 shown, including the following steps:
[0032] S1: The car renter sends a car rental request to the management center through the smart terminal. The car rental request includes the request information, the identity information of the car renter, and the length of the car rental;
[0033] S2: The management center receives the car rental request from the car renter, and judges whether the car renter is a local car rental member. If it is a local car rental member, execute step S5, and if it is a remote car rental member, execute step S3;
[0034] S3: The management center judges whether it is currently within the set car rental peak time period, if yes, execute step S4, otherwise execute step S5;
[0035] S4: The management center judges whether the current number of idle and rentable vehicles is greater than the current peak idle vehicle threshold,...
Embodiment 2
[0058] Embodiment 2: A car rental management method based on the Internet of Things in this embodiment, the current peak idle vehicle threshold is the expected peak value A of the day minus the number of times all vehicles have been rented during the current car rental peak time period and C, the expected value of peak car use on the Mth day of a week A is the average value obtained by dividing the sum of the number of times all vehicles are rented by K2 divided by N during the peak period of car rental on the Mth day of the last N weeks before the day, and the rest of the methods are the same as Example 1 is the same.
[0059] A car rental management system based on the Internet of Things in this embodiment uses the above-mentioned method for car rental management based on the Internet of Things, and the rest of the structure is the same as that of Embodiment 1.
Embodiment 3
[0060] Embodiment 3: In the car rental management method based on the Internet of Things of this embodiment, the current peak idle vehicle threshold is the expected peak value A of the day minus the current total number of rented vehicles B, and the peak value of the M day within a week The expected value of car use A is the average value obtained by dividing the total number of rented vehicles K1 by N during the car rental peak period of the Mth day in the last N weeks before the day, and the rest of the methods are the same as in Embodiment 1.
[0061] For example: the car rental request received by the management center from the car renter is on Wednesday, and the number of rented vehicles during the car rental peak time period on Wednesday last week was 100, and the number of rented vehicles during the car rental peak time period on Wednesday last week was 120, last week The number of rented vehicles during the peak car rental time period on Wednesday is 110, so the total n...
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