Development of intelligent design platform for robotic drilling system based on CBR

Xu, Ying; Zhang, Yue; Xu, Zhanghuan; Xiang-hu, Zeng; Jian-Qiang, Chen

doi:10.1088/1742-6596/1820/1/012029

Cited by 1 publication

(1 citation statement)

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“…As an important part of the informatization construction of the electric charge recycling management of local power supply companies, the electric charge recycling management platform of this power company mainly adopts the B/S mode Web architecture, that is, the business operation access is carried out through the browser. Specific system network topology design [5]. The internal network equipment of power companies includes switches, routers and other equipment.…”

Section: Network Topologymentioning

confidence: 99%

Intelligent platform design of electricity charge recovery business system based on business collaboration

Yue,

Xin,

OuYang

2023

Atlantis Highlights in Computer Sciences

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In order to meet the actual business process and customer demand of electricity charge recovery management, this paper designs and develops a electricity charge recovery management system based on J 2 EE. It adopts the latest information management concept in the software development process, and introduces the software development technology MVC mode into the functional module development and design of the system. The development language of the system software adopts Java, the development tool adopts Eclipse, and adopts SpringMVC lightweight development framework to complete the coding design of the system functional modules. According to the specific characteristics of each functional module, the business logic interface of the functional module is determined, and the various business operation interfaces are called to complete the functional operation according to the requirements of the user page. Put the data display part into the view module, and the background database is also called through the control module. The modules can access and operate through specific interface examples, which greatly reduces the coupling between the modules and improves the maintenance efficiency of the system functions. Finally, the system function is tested through the QTP tool, and the JMeter tool is used to test the load performance of the system. The final test results show that the system can better meet the management needs of local power supply companies, realize the sharing of system data, reduce the management cost of the company, and effectively improve the electricity recovery management efficiency and service quality of local power supply companies.

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Section: Network Topologymentioning

confidence: 99%