Do you konw the role of smart lightning protection?

November 29 , 2022

The role of smart lightning protection: 3.1 What problems can the lightning early warning system solve for users: 3.1.1 Remind field operators to stop or suspend outdoor operations in time, enter a safe area to avoid lightning, and prevent lightning damage; 3.1.2 It may cause serious damage to some Hazardous operations, take appropriate measures in time before lightning strikes to prevent major lightning strike accidents. 


For example: outdoor operations in flammable, explosive and dusty places must be stopped or suspended at this time. 3.1.3 Adopt automatic opening and closing system to isolate the power supply line from lightning and provide protection for some important equipment or uninterrupted valuable services 3.2 Lightning What problems can the online monitoring system solve for users: 3.2.1 Real-time monitoring of the real-time status of the lightning protection circuit in the panel, so that the operation and maintenance personnel can grasp the real-time status of the lightning protection system, ensure that the lightning protection system is effectively online, and solve the problem of overvoltage intrusion into the system. safety hazards.


Realize the full-life early warning of the system SPD through the data such as the intruded lightning current and the operation times of the SPD, and timely replace the SPD with potential deterioration. 3.2.3 Through data storage, analysis, and the display of friendly human-machine interface, make targeted optimization for the later system, further improve the comprehensive lightning protection configuration of the system, and improve the safety and reliability of equipment operation. Provide data 3.3 The grounding resistance monitoring system can What problems can be solved for users: Regular automatic monitoring of the grounding resistance of the grounding grid, unreliable grounding of the system, grounding resistance exceeding the limit caused by corrosion of the grounding grid, etc., and timely warning to ensure the real-time effectiveness of the system grounding and the grounding grid.


Overview: The smart power plant system adopts a large number of modern electronic equipment such as communication and navigation, especially the power plant management system has many equipment and lines, requires special requirements, belongs to the real-time operation system that cannot be interrupted, and various weak current equipment. The influence of lightning electromagnetic pulse is very sensitive, and it is difficult to be slightly impacted by lightning electromagnetic pulse. In addition, the power plant is built in the suburbs far away from the urban area, and the soil resistivity of the power plant changes greatly, which provides favorable conditions for lightning strikes. Therefore, the power plant has a high probability of lightning strikes and equipment is easily damaged. It is important to establish a lightning early warning system.


The core of the construction of smart power plants is to form an efficient data asset system, to help enterprises establish the mutual information correlation between production factors in the information environment, so that the management decisions of enterprises and changes in the market environment can be supported by effective data to meet the needs of enterprises. Periodic business goals to promote sustainable development of enterprises. The construction of the data asset system should fully consider organizational responsibilities, data structure, and business goals, and apply data management to the production and operation of enterprises through the construction of a data life cycle management system centered on production factors and the construction of a supporting data center/data center. Implement management innovation and process reengineering, deepen data value mining and application, further standardize informatization standards, improve informatization management and control capabilities, and play a supporting role in the innovation and reform of enterprise management models.

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