Intelligent water heater energy-saving method based on cloud computing

Abstract

The invention provides an intelligent water heater energy-saving method based on cloud computing. According to the intelligent water heater energy-saving method based on cloud computing, the cloud collects sensor data of intelligent water heaters and formats the sensor data, a machine learning method is used for modeling so as to predict and form a hot water use prediction table, and third-party data are combined in the prediction process so that the time period and the duration for using hot water by a user can be more accurately predicted, then the heating time and the heating duration of the intelligent water heaters can be accurately and automatically controlled, therefore, the purpose of saving energy can be achieved, and meanwhile, the use by the user is facilitated; and according tothe method, the problems of calculation capacity and storage capacity limitation of the intelligent water heaters are solved, more complex algorithms can be applied, algorithm upgrading, tuning, small-flow testing and gray scale publishing are facilitated, and the method is suitable for various types of intelligent water heaters with temperature sensors and water dispensers with temperature sensors.

Description

technical field [0001] The invention relates to the field of water heater energy saving, in particular to an intelligent water heater energy saving method based on cloud computing. Background technique [0002] Current electric water heaters are divided into storage electric water heaters and instant electric water heaters. [0003] Instantaneous electric water heaters use ultra-high-power electric heating elements to rapidly heat up the water to the required temperature from entering to outflow; when using instant electric water heaters, users do not need to preheat in advance or wait. But the disadvantages are also very obvious: too much power, high energy consumption and not safe enough. [0004] Water storage type electric water heater means that there is a water storage container. Before the user uses water, the power switch of the water heater needs to be turned on in advance to preheat, and the water in the container is heated to a certain temperature before it can b...

AI Technical Summary

Problems solved by technology

The disadvantage is that the volume is generally large, and it needs to be preheated before use, and the water volume exceeding the rated capacity cannot be used continuously. If there are many people in the family, you have to wait in the middle of the bath

[0011] The first solution is that the current research on thermal insulation materials has almost reached its limit. To develop materials with better thermal insulation performance requires a lot of resources and has little effect. Therefore, the industry is currently seldom exploring this direction. up

[0012] The second solution has the following problems: 1. The model is too simple, and the prediction of user water consumption is not accurate enough; the computing power and storage capacity of embedded devices are relatively small, and cannot support complex models. Basically, only simple statistics can be done, and time series cannot be realized model, regression model, etc.

2. It is inconvenient to test and upgrade the model, and the firmware needs to be upgraded through OTA; the hot water usage prediction model needs to constantly experiment with new methods, and this method is very inconvenient when A / B tests are required

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