To solve the existing technical problems in quality management, distributed control, maintenance and monitoring management faced by traditional diesel generator set(GenSet), this paper summarizes the development status of traditional diesel generator set technology, and analyzes the business requirements of end users for distributed cloud control. Through the integration of traditional diesel generator cloud technology with internet of things technologies(IOT), a new design scheme of cloud GenSet controller is proposed based IoT technology, which simplifies the logic hierarchy of diesel generator cloud control. Then this paper puts forward the key network hardware design, and applies the new cloud GenSet controller to the enterprise new GenSet system, which verifies the feasibility and stability of the new design.
To satisfy the technical requirements of life-cycle service of the distributed generator sets(GenSet) during the after-sale stage, this paper proposes a service cloud architecture based internet of things (IoT) technology. This service cloud consists of generator set remote control, maintenance and repair, even the health management. It has the characteristics of simple architecture, physical and material connection, safety and reliability, and cost-effective. This service cloud can be implemented on a private cloud system or a public cloud system. At the same time, this GenSet service cloud can fully play the role of IoT technology, information technology, etc. in improving the efficiency of traditional manufacturing industry. Through the real-time monitoring of the GenSet, this cloud can timely sample and master the global operation of the GenSets, scientifically and reasonably evaluate the safety, reliability and quality of the GenSets, timely respond to and dispose of all kinds of operation alarms. Through the maintenance management of the GenSets, this cloud can effectively save and manage the maintenance account of the whole life cycle of the GenSets. Through the service dispatch, this cloud can shorten the distance between the customer and engineer and optimize the resource allocation.
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