Automatic sweeping method and system

Abstract

The invention discloses an automatic sweeping system and method. The automatic sweeping system comprises a sweeper and a monitoring management background. The sweeping method comprises the steps thata clean reference datum and a fallen leaf reference datum are established; feature information of the sweeping area is obtained and compared with the clean reference datum, if the sweeping area is inan unclean state, the feature information is compared with the fallen leaf reference datum, and fallen leaf road surface sweeping operation or conventional dirty road surface sweeping operation is executed according to the comparison result; after cleaning is completed, if the state is still non-clean, secondary cleaning is carried out, comparison is carried out after secondary cleaning is completed, and if the state is still determined to be non-clean, the clean reference datum is automatically adjusted and reported to the monitoring management background; and a pavement restoration identification process is started when the ground is in a clean state. The road surface humidity sensor is used for identifying the surface water accumulation condition, and the system is simple, direct and high in accuracy; the reference datum is adjusted in real time according to the ground condition, misjudgment caused by ground condition changes is avoided, different sweeping modes are started according to the ground condition, and the sweeping effect is improved.

Description

technical field [0001] The invention relates to the technical field of automatic cleaning, in particular to an automatic cleaning method and a cleaning system. Background technique [0002] The existing cleaning devices have a low degree of intelligence and generally still need to be controlled manually. Manually setting and adjusting the cleaning parameters according to the dry and wet conditions of the cleaned road surface cannot realize the functions of automatically identifying the road surface conditions and automatically adjusting the cleaning mode, resulting in the cleaning process. Need to invest a lot of manpower. Especially when the leaf fall season comes, the fallen leaves fall to the ground one after another. The cleaning volume of the sanitation personnel alone cannot meet the requirements of keeping the ground clean. Additional cleaning tasks are required, which increases the workload of the sanitation personnel. The existing cleaning technology discloses sett...

AI Technical Summary

Problems solved by technology

However, when the ground conditions change, such as cracks on the road surface, paint, etc., if the set threshold remains unchanged, the cleaning mode will not match the actual situation, resulting in misjudgment; The rotation speed and suction cannot be adjusted, and the difficulty of cleaning the garbage (paper, fallen leaves, packaging bags, etc.) on the dry ground and the water accumulation site is different, resulting in unclean cleaning. The stagnant water is easily covered by garbage or sundries on the ground, which will affect the recognition ability and cause misjudgment, thus affecting the cleaning effect

In addition, when the road surface is damaged (ground cracks, potholes, etc.), traces (paint, paint, etc.) are repaired by artificial chemical or physical methods, and the road surface is restored to its original state, it cannot be intelligently identified. And update to the original reference standard in time, and still use the reference standard with traces, which will lead to misjudgment of the degree of dirt on the road surface and affect the cleaning effect

Images