Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method and a system that can be used to predict drinking time

A technology of time and time period, applied in the field of smart water cups, can solve the problems of passive reminder function of cups and cannot be scientifically intelligent, and achieve the effect of improving drinking habits, promoting body metabolism and improving physical fitness.

Pending Publication Date: 2019-01-08
杭州吉吉知识产权运营有限公司
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above technical solution requires the user to set the reminder to drink water by himself. The reminder function of the cup is relatively passive, and it cannot remind the user to drink water scientifically and intelligently. There is still room for improvement in the way of reminding to drink water

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and a system that can be used to predict drinking time
  • A method and a system that can be used to predict drinking time
  • A method and a system that can be used to predict drinking time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Such as figure 1 As shown, the present embodiment discloses a method capable of predicting drinking time, which specifically includes the following steps:

[0096] S1. Obtain data information of sample users;

[0097] S2. Performing a Bayesian classification algorithm based on different time periods on the data information to obtain a classification data set for each time period;

[0098] S3. Calculate the classification data set of each time period by the K-nearest neighbor algorithm, so as to obtain the drinking water algorithm for calculating the optimal drinking water time and the optimal drinking water amount for each time period;

[0099] S4. Obtain the characteristic attribute of the target user, calculate the optimal drinking time and the optimal drinking water amount of the target user in each time period through the drinking water algorithm according to the characteristic attribute, and send a push to the target user according to the calculation result infor...

Embodiment 2

[0173] Such as figure 2 As shown, this embodiment discloses a system capable of predicting drinking time, including a server 1, a cup body 2 and a drinking water APP3 installed on a user terminal device. The server 1 is connected to the cup body 2 and the drinking water APP3 respectively. The body 2 is equipped with a drinking water detection device 4 capable of detecting the user's drinking water each time, and the server 1 includes a sample acquisition module 11, a training module 12, a judgment module 13 and a push module 14, wherein,

[0174] The sample acquisition module 11 is used to collect the data information of the user, and select a sample user according to the data information, and use the data information of the sample user as a training sample;

[0175] The training module 12 is used to use the data information of the sample user to perform a Bayesian classification algorithm based on different time periods to obtain a classification data set for each time perio...

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 method and a system that can be used for predicting drinking time, comprising the following steps: S1, acquiring data information of a sample user; S2, carrying out a Bayesian classification algorithm based on different time period on that data information to obtain a classification data set of each time period; S3, through a K-nearest neighbor algorithm, calculating theclassification data set of each time period to obtain a drinking water algorithm for calculating the optimal drinking time and the optimal drinking water quantity of each time period. S4, acquiring the characteristic attributes of the object user, calculating the optimal drinking time and the optimal drinking quantity according to the characteristic attributes through the drinking algorithm, and sending a push message to the object user according to the calculation result. By deeply learning the data information of the sample user, the method can accurately obtain the best standard drinking time and drinking quantity of the user in each period of time, push the drinking plan to the user, and correct the drinking habit of the user.

Description

technical field [0001] The invention belongs to the technical field of smart water cups, and in particular relates to a method and system for predicting drinking time. Background technique [0002] With the rapid development of human society, busy work and numerous affairs have led to more and more people ignoring their health. They cannot drink 2 glasses of water a day, sleep only 5 or 6 hours a night, and lack daily exercise. The World Health Organization survey reports that sub-healthy people account for 75%, and one of the simplest causes of sub-health is lack of drinking water. [0003] However, the current water glasses rarely have the function of reminding users to drink water. Even if they have this function, there is no scientific basis. Most of them will drink how much water they need to drink in a day. It is extremely unscientific. We are very particular about drinking water, but this attention is not fixed. According to different seasons, weather temperature an...

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): G06Q10/04G06Q10/10G06K9/62
CPCG06Q10/04G06Q10/109G06F18/24155
Inventor 洪文彬
Owner 杭州吉吉知识产权运营有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com