A Method for Predicting the Remaining Bathing Time of a Water Storage Electric Water Heater

Abstract

The invention relates to a prediction method of remaining bath time of a water storage type electric water heater. The prediction method comprises the following steps of extracting the flow, hot water outlet temperature, liner temperature and cold water inlet temperature at a water consuming moment within a certain sampling period for the water storage type electric water heater; respectively calculating change rates of the hot water outlet temperature and the liner temperature by adopting a least-squares linear fitting method; using the flow, the hot water outlet temperature, the liner temperature, the cold water inlet temperature and the change rates of the hot water outlet temperature and the liner temperature as neural network input quantities, and estimating the amount of remaining equivalent bath water through neural network computation; calculating the water consuming rate of the amount of the equivalent bath water according to a heat balance law and the flow, the hot water outlet temperature and the cold water inlet temperature which are extracted by current sampling; finally, dividing the estimated amount of the remaining usable equivalent bath water by the water consuming rate of the amount of the equivalent bath water so as to obtain the remaining bath time. According to the prediction method, the remaining bath time can be accurately estimated, so that the user bath quality is increased, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of electric water heaters, in particular to a method for predicting the remaining bathing time of a storage type electric water heater. Background technique [0002] At present, the smart home industry is receiving widespread attention, and has set off a wave of smart home in the world. Among them, the water storage electric water heater is an important household appliance. Its functions have added a variety of advanced applications such as appointment, timing, quick heating, 3D, and media protection to the previous single heating, heat preservation, and water use. In particular, in order to improve bathing quality and user experience, technologies related to the remaining water volume or remaining bathing time of storage-type electric water heaters have gradually emerged in recent years. If the remaining hot water volume or remaining bathing time can be predicted more accurately during the bathing process ...

AI Technical Summary

Problems solved by technology

However, in order to obtain better prediction results, more temperature sensors must be used, which will not only increase the cost of manufacturing (hardware and software) and maintenance of electric water heaters, but also affect the reliability of its use

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