Hotel harassment event prompting method based on big data

一种事件提醒、大数据的技术，应用在通信领域，能够解决用户危险、安全性问题无法保障、干扰事件无法有效扩散等问题，达到保障用户安全的效果

Inactive Publication Date: 2016-08-24
SUZHOU YINCHU INFORMATION TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In real life, the safety of users when staying in hotels is often not guaranteed, especially for female guests, when they encounter interference from strangers, the interference in the hotel cannot be effectively spread to other users who will book the hotel in the future , thus causing potential danger to users who will book the hotel

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] Please refer to figure 1 , figure 1 It is a schematic flowchart of a big data-based hotel disturbance event reminder method provided by the present invention. Specifically, this embodiment provides a method for reminding hotel disturbance events based on big data, including the following steps:

[0020] 1) Hotel residents upload the information of abnormal disturbance events encountered by strangers inside the hotel to the cloud server t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hotel harassment event prompting method based on big data. The hotel harassment event prompting method is characterized in that 1) a hotel guest can upload information of a stranger abnormal harassment event in a hotel to a cloud server by a mobile terminal; 2) the cloud server is used to mark and store the information of the stranger abnormal harassment event; 3) a hotel reservation client is used to detect the hotel browsing event on a user operation interface, and is used to acquire the information of browsed hotel during the detecting of the hotel browsing event, and then is used to upload the above mentioned information to the cloud server; 4) the cloud server is used to analyze whether the browsed hotel is the event hotel according to the information of the browsed hotel, and when the answer is yes, the event prompt is sent to the hotel reservation client. The user is effectively prompted by the hotel reservation client during the browsing of event hotel, and therefore the user can avoid the event hotel, and the safety of the user is guaranteed.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a big data-based hotel interference event reminder method. Background technique [0002] Compared with traditional data warehouse applications, big data analysis has the characteristics of large data volume and complex query and analysis. There are four "Vs" of big data, or four levels of characteristics: First, the volume of data is huge. From the TB level, it has jumped to the PB level; second, there are various types of data, such as network logs, videos, pictures, geographic location information, and so on. Third, the processing speed is fast, and the 1-second rule can quickly obtain high-value information from various types of data, which is also fundamentally different from traditional data mining techniques. Fourth, as long as the data is used rationally and analyzed correctly and accurately, it will bring high value returns. The industry summarizes it into four ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/12
CPCG06Q50/12
Inventor 钱月英
Owner SUZHOU YINCHU INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap