Order pricing method and system

Abstract

The invention discloses an order pricing method and system, and the method comprises the steps: detecting a current operation state of a pricing system when a pricing request triggered for a target order is received; when it is detected that the operation state is a first state, obtaining pre-configured first pricing reference data, generating pricing information corresponding to a to-be-priced target order according to the first pricing reference data, and storing the pricing information of the target order in a historical order database; and when it is detected that the operation state is a second state, obtaining second pricing reference data, and generating pricing information corresponding to the to-be-priced target order according to the second pricing reference data, wherein the second pricing reference data is obtained by cleaning the pricing information of each target order stored in the historical order database. The second pricing reference data is obtained based on big data statistics and is not independent backup data, so that the problem of data tampering can be effectively prevented, and the robustness of the system is improved.

Description

technical field [0001] The invention relates to the communication field, in particular to an order pricing method and system. Background technique [0002] In the prior art, with the rise of online orders, many items can be delivered through online orders. Correspondingly, in the order generation process, the calculation of the order fee is involved, wherein the order fee mainly includes the delivery fee of the order. Since there are many factors affecting the delivery fee, for example, the order delivery fees are different in different regions, different users, and even in different time periods. Therefore, during the order pricing process, it is usually determined by querying pre-configured pricing standard data. [0003] However, the inventor found in the process of realizing the present invention that the above-mentioned pricing method in the prior art has at least the following defects: because the pre-stored pricing standard data may be lost or tampered with due to n...

AI Technical Summary

Problems solved by technology

[0003] However, the inventor found in the process of realizing the present invention that the above-mentioned pricing method in the prior art has at least the following defects: because the pre-stored pricing standard data may be lost or tampered with due to network attacks or abnormal transmission, etc., therefore , the existing pricing system is less robust

In addition, even if the disaster recovery process is performed by backing up the pricing standard data, the backup data still has the risk of being attacked

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