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:2025-03-31 09:30:56 source:Weather Station viewed:685 time
Large-scale ground photovoltaic power stations are characterized by their huge scale, vast land occupation, and heavy inspection tasks. Some ground power stations also face the challenge of complex geographical environments, such as floating solar power stations on water surfaces and mountainous power stations. These power stations have complex and rugged terrains, inconvenient transportation, and scattered arrays. In such large power stations, there are a large number of components. Each solar panel and connection point may have faults, and component failures are one of the main reasons for the gradual decline in photovoltaic power generation.
In the photovoltaic area, there are various risks, including loose or disconnected connectors, unreasonable cable laying, decreased insulation performance, grounding faults, component mismatch, and component shading. These problems impose a heavy burden on the operation and maintenance work. In the traditional operation and maintenance mode, only after an alarm signal appears can the operation and maintenance personnel conduct offline and on-site inspections by carrying equipment, and rely on manual work to output reports and propose solutions. This method is time-consuming and labor-intensive, and the results vary greatly. Moreover, operation and maintenance personnel can only receive information and deal with problems when the faults have already occurred or the components have been damaged. If problems can be detected and solved in the early stage of component failures, it can not only reduce the workload of operation and maintenance but also lower the component damage rate, save operation and maintenance costs, and increase the revenue of the power station.
The emergence of the Portable IV Curve Tester has changed the traditional sampling inspection method. It can conduct 100% inspection and diagnosis of photovoltaic components and automatically generate reports. It can accurately detect up to about 30 types of faults. The entire inspection process is carried out remotely without the need for on-site manual inspection. Compared with the traditional method, the Portable IV Curve Tester can detect more problems, and even solve potential problems in advance, reducing the component failure rate and ensuring the healthy operation of the power station.

Agricultural productivity is closely linked to meteorological conditions, making the monitoring of climatic conditions on farmland particularly critical. However, although full-featured agro-meteorological monitoring stations can provide comprehensive monitoring data, they are often inconvenient in...
Soil Moisture Testing Equipment is a research result obtained through scientific methods and multiple equipment experiments. It can continuously observe and conduct in-depth analysis of the relevant conditions of the soil.Soil Moisture Testing Equipment is divided into two parts: hardware and softwa...
Air quality sensor is a device used for real-time monitoring of air pollutant concentrations and environmental parameters. Widely applied in environmental monitoring and public health, it can detect multiple parameters such as PM2.5, PM10, carbon monoxide, sulfur dioxide, nitrogen dioxide, and ozone, helping to assess levels of harmful gases and smog, supporting data-driven decision-making and health protection measures....
Fengtu Air quality monitoring station provides accurate data support for air quality monitoring through automation technology. The system is capable of real-time monitoring of a wide range of key pollutants in the atmosphere (e.g. SO2, NO2, CO, O3, TVOC, PM2.5, PM10) as well as meteorological parame...