Design Of Remote Intelligent Operation And Maintenance System For Cleaning Robot

With its advantages of intelligence and high integration,cleaning robots have been widely used in hotel cleaning,property sanitation,hospital cleaning,and other occasions,effectively improving cleaning efficiency.However,the increased failure rate of cleaning robots due to harsh working environments has raised maintenance costs,becoming a major obstacle to the development of the industry.At present,the main means of operation and maintenance rely on maintenance engineers to monitor cleaning equipment and analyze it based on their own experience,which puts higher demands on their knowledge reserves and maintenance experience.Therefore,it is necessary to build an intelligent operation and maintenance system that integrates a knowledge base.This paper focuses on the indoor cleaning robots used in property management and conducts research on information perception,data transmission and storage,fault warning,online decision-making,and knowledge retrieval in cleaning operation engineering.The specific content includes:(1)Development of embedded operation and maintenance terminal: The operation and maintenance terminal has data transmission and warning functions.The data transmission function collects critical component data and user information of the cleaning robot accurately through the monitoring module through the on-site bus agreement and wireless RF,and transmits it to the cloud service system through M2 M wireless communication.In addition,when the equipment is found to be abnormal,the operation and maintenance terminal can immediately start the on-site sound and light warning,which provides timely and effective protection for the equipment.(3)Construction of ontology for cleaning robot operation and maintenance: Firstly,the theory and construction technology of ontology and knowledge base were outlined.Then,the characteristics of knowledge in the field of cleaning robot operation and maintenance were analyzed,and a method for constructing the ontology of the cleaning robot operation and maintenance field was proposed.The ontology was constructed step-by-step,with key component operation and maintenance knowledge being organized and summarized.Based on the SWRL custom rules,a rule system was constructed for the ontology of cleaning robot operation and maintenance,and case analysis was conducted for reasoning.(3)Development of operation and maintenance cloud service system: Based on the architecture design of the operation and maintenance cloud service system,a composite database scheme was proposed,and the server was designed using Django REST Framework.The frontend visualization interface was designed based on the Vue framework.Then,module design was carried out for user management,data query,remote warning,and knowledge retrieval.At the same time,an online reasoning method was designed to facilitate the auxiliary operation and maintenance decision-making of the operation and maintenance personnel in the system.Finally,a systematic test was conducted on the operation and maintenance terminal of the cleaning robot and the cloud service system,including functional tests of data transmission,device management,knowledge representation,knowledge retrieval,and online reasoning of the operation and maintenance system.The test results show that the remote intelligent operation and maintenance system for cleaning robots developed in this paper can operate normally under expected conditions,the system functions meet the design requirements,and the response is rapid and highly reliable.