Research on the Monitoring Method of the Refuse Intake Status of a Garbage Sweeper That Is Based on the Synergy of a Wind Speed Sensor and an Ultrasonic Sensor.

Zihua Chen, Qingbing Zeng, Zhongwen Chen, Yixiao Zhang, Heng Yang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

A Binary Correlation-Based Ultrasonic Ranging System with Cross-Measurement Interference Mitigation.Sensors (Basel, Switzerland) · 2026
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zihua ChenSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Qingbing ZengSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Zhongwen ChenSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Yixiao ZhangSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Heng YangHunan Niu En Chi New Energy Vehicle Co., Ltd., Zhuzhou 412007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Garbage sweepers are crucial to municipal cleaning; however, they frequently encounter two significant challenges during their operations: overflowing rubbish storage compartments and vacuum duct clogging. The conventional method of monitoring overflowing refuse and clogging vacuum ducts is based on manual labour, which is inefficient and susceptible to error. Consequently, this investigation suggests an automated monitoring approach that is predicated on the integration of wind speed sensors and ultrasonic sensors. The ultrasonic sensors assess the blockage status by monitoring the height of the accumulation of rubbish in real time, while the wind speed sensors monitor the change in wind speed. The experimental results indicate that the system is an effective solution for monitoring the refuse intake status of intelligent sweepers, significantly reducing manual intervention and improving the operational efficiency of the equipment. Additionally, the system is accurate and reliable.

Indexed as

garbage sweeperoverflowing rubbish storage compartmentsultrasonic sensorvacuum duct cloggingwind speed sensor

Identifiers

PMID40648266

DOI10.3390/s25134010

PMCPMC12252365

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.