Shandong Fengtu IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China

Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2026-08-31 11:17:25 source:Weather Station viewed:0 time
This system utilizes digital electric field detection technology, equipped with MEMS induction probes, and optimized early warning algorithms to reduce false alarms. It supports remote cloud-based monitoring networking, providing short-term, localized lightning safety early warning services for high-risk locations such as oil depots.
Lightning hazards have always been a significant safety concern for oil and gas storage bases. The concentration of flammable and explosive media in oil and gas storage tank areas makes them highly susceptible to fires, explosions, and other major safety accidents if struck by lightning. Therefore, deploying a stable and reliable lightning early warning system has become a crucial aspect of safety management for oil and gas storage bases.
The lightning early warning system for large-scale oil and gas storage bases is a fully digital electric field detection and early warning platform. Its core electric field detection structure is based on the principle of charge induction and is developed using MEMS (Micro-Electro-Mechanical Systems) technology. The equipment eliminates easily worn moving mechanical parts such as motors, resulting in a longer service life compared to traditional atmospheric electric field equipment. It is also compact, consumes less power, and has high operational reliability, facilitating integration with existing security systems within the plant area.
The lightning warning system for large-scale oil and gas storage bases has undergone targeted upgrades at the warning algorithm level. It employs an electric field differential algorithm combined with threshold optimization to improve the lightning warning algorithm. Compared to traditional single threshold warning methods, this effectively reduces human interference from external environmental factors such as rain, strong winds, snow, and dust, significantly reducing false alarms and significantly improving the accuracy of lightning warning results. The entire system consists of lightning warning probes, a data processing host, a solar power system, a surge system, a grounding system, temperature, humidity, and air pressure sensors, a three-level audible and visual alarm, and a cloud-based data query and display module. The comprehensive hardware configuration allows it to adapt to the complex installation environment of field oil depots, facilitating on-site wiring and easy networking between devices, meeting the needs of multi-point monitoring in large-area oil and gas storage areas.
Management personnel can connect the lightning warning probes to a cloud server to remotely monitor lightning electric field data within the plant area. The system collects atmospheric electric field data in real time, and through backend data analysis, accurately determines the intensity and polarity changes of the thundercloud electrostatic field. Once a lightning strike signal is detected, it triggers the audible and visual alarm to issue a tiered warning. The entire system's data transmission strictly adheres to standard network protocols, boasts robust network transmission capabilities, and allows monitoring data to be uploaded to the cloud in real time, enabling staff to view on-site monitoring information anytime, anywhere. In addition to oil and gas storage bases, this lightning warning equipment is also suitable for localized short-term lightning warnings in various industries such as petroleum and petrochemicals, power grids, mines, and scenic areas, building a robust lightning safety protection line for various high-risk locations.
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