From March 16th to 17th, ε¥the temperature in the ce★£±ntral and eastern regions dropped by 4®σ♠ to 10 degrees Celsius, a​€nd in some areas, the temperat≈γ✔♥ure dropped by more α≤βthan 12 degrees Celsi¶λus, accompanied by winds of magnit>>ude 4 to 5 and gusts of magnitude 6 to←£γ‌ 8. There have been two rain and snow eΩ$vents in most of Nort✔♣♠₹h China and the southern part of Northe∞ ast China. After learning this impoγ✘rtant weather information, ₹→•the editor silently put onλ  the long pants.
It's not just the editor wh♠¥εo needs to wear long pants.
Disaster weather such as cold wave is ¶ →αcoupled with the complex local terrai¥λn, and abnormal wind conditions that←σ​ exceed the design standards maα♥©☆y occur, which increases t∞ $∑he probability of tower sweeping,‍±→ unit overload and instabilit‌σy, and adversely affect‍↕εs the safe and stable pro₩≠duction of wind farms.

Combining weather forec♠λβasting, statistical fore↔≥∑casting and numerical ♦$§weather forecasting, Go'¥ ldwind continuously ≤±₽expands forecast data source‍€↑s and forecasting met"↔™hods, innovates the intσ∞  egration and fusion technology of inγα≥telligent deep algorithm for s≥∑ε trong wind forecastin∞↔g, and forms an early warning and eva£‍πluation technical sch✘≈↕eme for disasters and strong wi•♦nds. At present, the monitori≥§♦ ng scope of the disaster and gale earlβ✘♠×y warning and assessment technolog✔✘₹σy covers hundreds of w​ ×ind farms under construct§≠↔ion and operating wind f♥•arms of Goldwind across the country©'↓.
Take the strongest cold wγ©λave in 2021, for example. On £¥∏November 4, 2021, th$γ e Central Meteorological Observato​ ​δry issued a cold wave yellow warning:‍∞α★ the temperature in most parts of m ↓λy country will drop by 8∞λβ to 10 degrees Celsius,♦☆< and the decline in some areas in N↓→α orthwest China, most of Inner Mongolia,σσ North China, Huanghuai, western Jian¶₽→ghuai, and southern Northeas'∞∏t China can be reduced. The temper☆ ature reached 12-14°C, •±<∞accompanied by northerly winds of ma¥βgnitude 4-6 and gusts↑☆&↔ of magnitude 7-8.

Facing the super cold wave, Golσ♠φdwind's R&D, quality a•​nd service teams formed the &quo±€‌t;Cold Wave Warning Iron Triangl₽ Ω>e". First, use various me‍♦teorological data sources to pre±¥dict the evolution of the weather s→'✔λystem; secondly, issue©‌∞≥ gale warnings for rδ☆isk points of projects under <±±φconstruction and operati§↑​∑on; thirdly, combine €λ✔πmultiple data sources to gi&‍∞ve more accurate wind speed anσ✘d direction prediction$&‍‍ results. For the projectsπ<& already in operation, the Audio-Techn←☆☆ ica Triangle cooperates closelβ​♥y to ensure the safety of the units ✔$☆ to the greatest extent ÷ and reduce the loss of power gen©&σ→eration. For projects under constructioγ¥n, according to the forecast dΩ✘±φata, Audio-Technica r‌<→eleases construction d¶☆↓eployment instructions to the proje♣±‍ct site in real time to ensureδ‌♦ the safe construction of the ®↑≥‍project.
As of November 14, 2021, relying on th♦σ¥e technical scheme for earlyφΩ♣ warning and assessment of d≈€♠isaster and strong wiΩ∑nds, Goldwind has issued e'♦arly warnings for 5 prot←±otypes, 25 projects under  ↔construction and 40 projects ™βαin batch operation within the coverage₽♦≈∏ area. The information shows®™λ that each project has achieved sσ☆εtable and orderly operation during this↔σ×ε cold wave!
With the increase in the number of§↔ early-warning and monitoring wi♠‌nd farms, the expansion of  §¥early-warning objects and thφβ↔e expansion of the scope of ♣σmeteorological early-warning, Goldw¥$✘≥ind has established a disas★ ¶ter-weather early-war♥¥☆λning platform on the basisσ₽ of the existing disa↕∑¥ster and gale early-warning♠§ assessment technologε★ y to further improve the ac‌₹curacy of weather early warn★α♥♥ing and the level of earl←≠λ✔y warning automation.§₽α₽ Minimize the disaster risk of wi∞™​≤nd farms and help wind turbines run≤€ safely and stably.