
Wind power blade is an important part of wind power generation equipment, and its running state directly affects the efficiency and safety of power generation. Therefore, regular testing and maintenance of wind power blades is crucial.
The wind power blade inspection crawler camera can enter the narrow inner space of the blade, and carry out video detection of the defects such as swelling, folds, degumming and cracks inside the blade. It can easily reach the position that cannot be reached during manual inspection, and complete fast, comprehensive and efficient internal inspection work.
The crawler camera advantage is that by observing the fan blade internally, it can avoid the influence of the blade paint surface, identify defects more timely and accurately, reduce losses and maintenance costs, and improve the efficiency and inspection quality of the fan internal inspection. Combined with fan blade intelligent external inspection, maintenance and other programs, further integration of blade defect data can achieve the full life cycle management of fan blade defect dimensions, and then support fine operation and maintenance planning and predictive maintenance strategy formulation.

The wind power blade inspection robot camera uses front and rear digital HD camera lenses to obtain detailed images and data inside the blade, helping inspectors accurately identify and assess potential defects and damage. Intelligent identification of defects and damage, real-time recording of complete blade images, location of defects, help to timely discover and repair problems, reduce the probability of failure, and provide a reliable video and image basis for wind power blade acceptance, maintenance, etc.
In addition, the wind power blade internal inspection crawler camera also has the characteristics of high reliability and low failure rate, and can work stably in harsh environments. It avoids the danger of personnel entering the blade, improves the efficiency of blade internal inspection, and ensures the accuracy and reliability of test results.