R&D personnel are all from the leading enterprises of global photovoltaic tracking system R&D, and have forward-looking technological independent innovation capability. All products of the company will pass the wind tunnel test and verification of RWDI, a global authoritative organization, and be certified by IEC, CE, DNV-GL and other related certifications. The company has an experienced and powerful R&D and technical support team, with advanced AI intelligent 3.0 tracking system algorithm, intelligent manufacturing, steel, polymer bearings, communication modules and control modules as the core R&D drivers, to ensure that products can achieve controllable technical solutions, controllable cost, controllable delivery and controllable product quality, and improve their comprehensive competitiveness in the industry. Provide users with a safe, reliable and low-cost overall solution of the new AI intelligent tracking system. Reach a strategic cooperation with Northwestern Polytechnical University to control the overall research and development and structural technology of the tracking support, so as to ensure the stability and reliability of the products delivered by each project.
CFD is used to simulate the flutter and galloping of the support under various working conditions; Analyze reasonable structural design and gale protection strategy.
Static wind load test, dynamic wind load test, aerodynamic Instability Test and Aeroelastic Test, so as to obtain the static wind load pressure and torque coefficient of the tracker; Analyze the dynamic wind load response of the tracker; Select the aerodynamic shape of the tracker in strong wind.
According to the division of internal and external distribution after passing the wind tunnel test, the intensity distribution of internal and external distribution is optimized and the wind resistance of photovoltaic power station is improved.
Through the wind tunnel test design, the inner and outer parts are subjected to wind force, and dampers are equipped according to the latitude and longitude of the project and the wind and snow pressure, so as to increase the stability of tremor and co-vibration when the wind comes and stops.
Intelligent inverse tracking algorithm vs teaches conventional scheme design: further reducing electricity cost 0.13 cents/watt,Increase power generation More than 5%;
Bofang's advanced double-glass double-sided module +AI intelligent algorithm tracking bracket system can improve the back power generation gain Up to 1-5%。
Bofang recommends long-distance LoRa/ZigBee wireless transmission with low power consumption, which further saves the cost of site cable and engineering quantity system, and makes the site debugging easier.