Smart home sweeper for slit cleaning based on data analysis

Abstract

The invention discloses an intelligent household floor sweeper capable of achieving narrow gap cleaning. The intelligent household floor sweeper includes a housing, wherein universal wheels are arranged on a bottom surface of the housing, a radar sensor is arranged on a top surface of the housing, and a groove for holding a mopping mechanism is formed in one side of a tail end of the bottom surface of the housing; a sweeping mechanism which includes edge brushes, a main brush, dust collection devices, and a dust box; an intelligent control system which includes a controller, and a motor, a mapgeneration module, and an analysis module which are connected to the controller, wherein the map generation module can generate a sweeping map, the analysis module can ensure full coverage of a sweeping region and avoid sweeping omitting; an assist sweeping system which includes a telescopic rod, a laser distance sensor and a suction head; and a charging battery. Flexible use of a mop cloth of the floor sweeper can be achieved, the sweeping space is full covered through control of the intelligent system, sweeping omitting can be effectively avoided, and a sweeping effect can be improved; andthe floor sweeper can clean narrow regions where the conventional floor sweeper cannot enter, and can conveniently and thoroughly clean a household environment.

Description

technical field [0001] The invention relates to the technical field of household cleaning equipment, in particular to an intelligent household sweeper that realizes slit cleaning based on data analysis. Background technique [0002] The sweeping robot, also known as the lazy sweeper, is a smart household appliance that can automatically vacuum the ground. Because it can detect factors such as room size, furniture placement, and floor cleanliness, and rely on built-in programs to formulate reasonable cleaning routes, it has a certain degree of intelligence, so it is called a robot. Sweeping robots generally use brush sweeping and vacuum methods to absorb ground debris into their own garbage storage boxes, thereby completing the function of ground cleaning. At present, most of the sweeping robots on the market use random routes or bow-shaped routes to plan the cleaning routes. The cleaning efficiency of random routes is low, and it is easy to miss or repeatedly clean the same...

AI Technical Summary

Problems solved by technology

At present, most of the sweeping robots on the market use random routes or bow-shaped routes to plan the cleaning routes. The cleaning efficiency of random routes is low, and it is easy to miss or repeatedly clean the same area, resulting in poor cleaning effect and low efficiency. ; and although the cleaning efficiency of the bow-shaped route is much higher than that of the random route, the planning of the map is often relatively rigid. Generally, the map is generated at the first cleaning and the route is planned, and then it has been cleaned according to this route. The disadvantage of the setting is that if there is a moving object that obstructs the sweeper during the first sweep, the sweeper will often mark this area as an obstacle when it is cleaned again later, and this area will continue to be missed The problem

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