This paper introduced research on remote calibration and online monitoring system of the gateway electric energy metering device. The function combined with composition of the station’s remote calibration-monitoring device and the master station management platform are emphasized. The system integrated the ways of multi-channel synchronous remote calibration, multi-dimensional monitoring, intelligent switching of detection and calibration loop, self-test of detection unit and so on into the complete set, cooperated with the master station management platform, to realize remote calibration, online monitoring, fault diagnosis and state evaluation of the gateway electric energy metering device. The system innovatively adopts a multi-channel synchronous remote calibration method to realize intelligent switching of detection and calibration loops. Through multi-dimensional data detection and state evaluation algorithms, it is possible to more comprehensively detect device status and achieve fault diagnosis. In addition, the system has high stability, accuracy and flexibility. The research plays an important role in reducing the operation-maintenance costs of the gateway electric energy metering device, guaranteeing the safety of operators and improving the level of operation and management, which ensures the accuracy of gateway energy metering and the fairness of both parties in power trade.
Crowdsourcing innovation is a new model for enterprises to acquire knowledge of external networks and achieve innovation objectives effectively. Its organizational form is relatively loose, the participants are free and voluntary, and come from a wide range of sources. Deeply understanding the heterogeneity and contribution behavior of crowdsourcing innovation participants is very important to crowdsourcing innovation practice. Taking the IdeaStorm crowdsourcing community as the research object, the data related to user interaction and contribution is captured. Through social network analysis combined with cluster analysis to explore the heterogeneity of user interaction behavior and contribution behavior and finally establish five different user roles, they have different importance to support the effective operation of the community. This study will be helpful to understand the crowdsourcing innovation mode and provide theoretical guidance for the effective management of crowdsourcing innovation activities in enterprise community.
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