The application discloses an intelligent inspection
robot management and control platform, method,
system and equipment, and belongs to the technical field of industrial
automation and
Internet of Things. The platform adopts a cloud-edge collaborative architecture, and comprises an edge side arranged on
a site and a cloud platform layer adopting a front-end and back-end separation design. A back-end
service layer of the cloud platform layer builds a micro-service cluster through a Go language, and a front-end
application layer realizes cross-platform
adaptation based on a Qt framework. The method comprises the steps of task arrangement and cloud-side issuing, edge-side execution and
data acquisition, data uploading and edge-side preprocessing, cloud-side intelligent analysis and fusion diagnosis, real-time early warning and
visual presentation, data
closed loop and iterative optimization. Through multi-
source data fusion analysis, AI intelligent diagnosis and multi-
robot collaborative scheduling, the application solves the problems of rigid
system architecture, data islands, poor real-time performance and
collaboration of existing systems, realizes the intelligentization,
collaboration and high efficiency of inspection operation, and is suitable for device inspection scenes in the energy industry such as
electric power,
coal and
chemical industry.