Automatic cleaning method and cleaning system

Abstract

An automatic cleaning system and cleaning method, including a cleaning vehicle and a monitoring and management background. The cleaning method includes: establishing a clean reference standard and a fallen leaf reference standard; obtaining characteristic information of the cleaning area, and comparing it with the clean reference standard. If it is not clean, then Compared with the reference standard of fallen leaves, carry out the cleaning operation of fallen leaf road surface or conventional dirty road surface cleaning operation according to the comparison results; In the non-clean state, the clean reference standard is automatically adjusted and reported to the monitoring and management background; when the ground is in a clean state, the road restoration identification process is started. The invention adopts the road surface humidity sensor to identify the water accumulation on the ground, which is simple and direct, and has high accuracy; the reference standard is adjusted in real time according to the ground conditions to avoid misjudgment due to changes in the ground conditions, and different cleaning modes are opened according to the ground conditions to improve the cleaning efficiency. Effect.

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

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