"Kazakhstan Electric implemented the intelligent long-range intelligent service for power plant equipment in the field of power plant applications in China, which is a typical case of" Made in China 2025 ".
March 2, Harbin Electric Works Co., Ltd. New Hydraulic Test Building, remote power generation equipment condition monitoring and fault diagnosis center on the big screen, is rolling a group of data.
IoT technology for power generation equipment fitted with "remote control of the brain"
Kazakhstan electrical power generation equipment, remote diagnosis service platform project manager Li Zheng pointed to the big screen, told reporters: "Our fault diagnosis service system is constantly updated data, always supervising thousands of miles away from the generator."
Integration of "Internet Plus" and Internet of Things Technologies to Install "Remote Control Brains" for Power Generation Equipment, HAC Motor Company has transformed from a traditional simple-to-sell device to an both-sale device and a service to achieve a full-time-like industry chain extension Value-added, from the traditional power generation equipment manufacturing enterprises to "intelligent management, service-oriented" transformation and upgrading of enterprises.
"Kazakhstan Electric Machine in the field of application of the first power station equipment to achieve remote intelligent services, called 'Made in China 2025' typical case." Identification of the project expert group leader, Harbin Institute of Technology professor Li Jianzhong told reporters. At present, Kazakhstan Electric has taken the lead in China for 18 units of 3 power plants to build completely independent intellectual property rights "based on the life cycle of power generation equipment, remote diagnosis service desk."
According to Li Zheng, this platform is based on the integrated application of various softwares of Internet of Things and Internet technologies, realizes the integration of heterogeneous data, integrates the unit performance data of all the tested power plants into the remote diagnosis service platform of power generation equipment, and provides convenient Inquiring and retrieving data function, it realizes condition monitoring, on-line diagnosis, off-line evaluation, analysis and manufacturing service for genset operation and supports maintenance and overhaul of power station.
"The platform embeds more than 3700 sensing devices into the traditional key components of power generation equipment and delivers more than 18,000 pieces of data every eight seconds to the diagnostic center in real time. The monitoring system is divided into seven major sections with a total of more than 4,000 A standard sample and more than 30 fault cases were created, the system as soon as the exception occurs, the system will immediately alarm to find the point of failure and give the optimal solution to achieve data acquisition, status monitoring, fault probability quantitative analysis, on-line diagnosis And other functions, equivalent to the installation of power generation equipment such as 'remote monitoring of the brain'.
The project recently passed the appraisal of the results organized by the Science and Technology Department of Heilongjiang Province. The proposed new technologies such as big data acquisition, transmission, storage, analysis, mining and visualization of power generation equipment, fault tree, knowledge sample and remote intelligent diagnosis and analysis are all in the same industry leading level in China. Some of the technologies have reached the international advanced level in power station applications , Which filled the gap in remote smart service of power station equipment.
Kazakhstan Motor Co. and Jilin Fengman Power Station signed a contract recently, negotiations with Malaysia and other countries are also underway. Ha motor is considering the construction of various power plant spare parts library, maintenance costs, the establishment of a virtual center spare parts library, that is, according to the system analysis of the upgrade recommendations for enterprises to produce parts in advance, saving each plant regular inspection, maintenance, replacement of equipment costs And time costs, the future will completely replace the power plant spare parts library.
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