Network food ordering intelligent supervision method

Abstract

The invention discloses a network food ordering intelligent supervision method, which concretely comprises the following steps that a supervision platform is docked with various network food orderingplatforms, and obtains basic information of merchants on the food ordering platforms; the supervision platform automatically collects merchant data of various network food ordering platforms by usinga web crawler technology; the supervision platform is docked with an industrial and commercial bureau system, a market supervision system and a public security system to obtain legal merchant data; and through the comparison on the information obtained in the three aspects, the supervision on illegal conditions such as the one-address multi-merchant condition and the one-merchant multi-address condition, the supervision on the business address, the supervision on the business scopes, the supervision on the certificate information, and the supervision on blacklists, grey lists and white lists are performed. The network food ordering intelligent supervision method has the beneficial effects that the escaped criminals of illegal conditions such as certificate lacking, false certificates, overdue certificates and out of business scope can be precisely and fast discovered; the web crawler data is used as an auxiliary measure; and the merchant data can be further investigated, so that the supervision efficiency and the supervision effects can be effectively improved.

Description

technical field [0001] The invention relates to the technical field related to the Internet, in particular to an intelligent supervision method for online ordering. Background technique [0002] In recent years, various online ordering platforms have reached a certain scale. However, on the food-related platforms that are "prosperous and prosperous", there are often some unlicensed "black shops" hiding. Due to the virtual nature of online ordering, it also brings new problems to market supervision. [0003] The State Food and Drug Administration has formulated the "Measures for the Supervision and Administration of Online Food Ordering" to further improve the legal and regulatory system for online food safety supervision. But still there are following shortcomings and weak points: [0004] 1. Manual supervision is inefficient and ineffective. It is difficult for a limited number of supervisors to fully supervise in place. In the past, supervisors had to select a large n...

AI Technical Summary

Problems solved by technology

However, the online ordering service platform will often filter and screen data during data transmission, so this method is theoretically feasible, but the actual effect is not good