Abstract: The disclosure relates to a wind turbine blade inspection system and method based on an unmanned aerial vehicle. The system includes: a collection module, used for collecting blade data and surrounding environment data of blades to be inspected, determining feature inspection points of the unmanned aerial vehicle according to the blade data and the surrounding environment data, and generating inspection paths; an inspection module, used for shooting corresponding blade at the feature inspection points according to the inspection paths to obtain a first inspection image and a second inspection image; an analysis module, used for receiving the first inspection image and the second inspection image, analyzing the first inspection image and the second inspection image to obtain a health state of the corresponding blade, and making a maintenance plan according to the health state of each of the blades.

Abstract: The disclosure relates to a wind turbine blade inspection system and method based on an unmanned aerial vehicle. The system includes: a collection module, used for collecting blade data and surrounding environment data of blades to be inspected, determining feature inspection points of the unmanned aerial vehicle according to the blade data and the surrounding environment data, and generating inspection paths; an inspection module, used for shooting corresponding blade at the feature inspection points according to the inspection paths to obtain a first inspection image and a second inspection image; an analysis module, used for receiving the first inspection image and the second inspection image, analyzing the first inspection image and the second inspection image to obtain a health state of the corresponding blade, and making a maintenance plan according to the health state of each of the blades.

Abstract: Provided are an imaging method and system for residual stress of a basin insulator and a method for preparing a test block. The imaging method includes cutting and preparing a standard industrial sample of a basin insulator and testing the acoustoelastic coefficient of the standard industrial sample; then obtaining the residual stress data of the basin insulator and obtaining the spatial point sound velocity distribution of the basin insulator; finally, obtaining a stress distribution cloud map of the basin insulator by calculation of the attribute value and the coordinate data of a to-be-measured location, and performing reliability verification based on the residual stress data.

Abstract: Provided are an imaging method and system for residual stress of a basin insulator and a method for preparing a test block. The imaging method includes cutting and preparing a standard industrial sample of a basin insulator and testing the acoustoelastic coefficient of the standard industrial sample; then obtaining the residual stress data of the basin insulator and obtaining the spatial point sound velocity distribution of the basin insulator; finally, obtaining a stress distribution cloud map of the basin insulator by calculation of the attribute value and the coordinate data of a to-be-measured location, and performing reliability verification based on the residual stress data.

Abstract: The present disclosure discloses an organic electroluminescent compound, a composition, a light emitting device and an application. The organic electroluminescent compound is a compound M having a structure shown in Formula (2), and Formula (2) is: in Formula (2), X1-X14 are selected from N or CR8, and R8 is selected from hydrogen or deuterium; L is selected from a connecting bond, substituted or unsubstituted C6-C30 arylenyl, and substituted or unsubstituted C3-C30 heteroarylenyl; Ar8-Ar9 are each independently selected from substituted or unsubstituted C6-C30 aryl and substituted or unsubstituted C3-C30 heteroaryl; and substituents are selected from one of or a combination of two of deuterium, halogen, cyano, C1-C6 alkyl, C3-C30 cycloalkyl, C6-C30 aryl and C3-C30 heteroaryl.

Abstract: The present application relates to the technical field of display, in particular to an organic electroluminescent material composition and an application thereof. The organic electroluminescent material composition of the present application comprise compound N and compound M, compound N and compound M cooperate with each other, resulting in an organic electroluminescent device comprising this material with better lifespan, lower driving voltage and higher efficiency at the same time.

Abstract: A vibration frequency adjustment system, comprising a vibratable component (102), at least one counterweight (401, 402), at least one drive device (407, 408), and a controller (307). The vibratable component (102) is configured to be connected to a vibration source (101). The vibration source (101) has an operating frequency range, and the vibratable component (102) has a natural vibration frequency. The at least one counterweight (401, 402) is configured to be movable along the vibratable component (102). The at least one drive device (407, 408) is configured to enable the at least one counterweight (401, 402) to be maintained at or moved to various counterweighting positions (421, 422, 423) on the vibratable component (102). The controller (307) is communicatively connected to the at least one drive device (407, 408). The vibration frequency adjustment system is used for a variable-frequency screw unit so as to reduce the vibration of an exhaust pipe.

Abstract: The present disclosure provides a defect detection method and apparatus for a cushion layer of a cable, a device, and a storage medium. The method includes: obtaining specification parameters of a corrugated sheath of a to-be-detected cable, calculating a first volume of a cushion layer without deformation and a second volume of a deformed portion of the cushion layer when the cushion layer is deformed under stress, and calculating a stressed-state deformation ratio of the cushion layer based on the first volume and the second volume; obtaining a voltage, a current, an electrode area, an electrode distance, and an initial electrode distance of the cushion layer when the stressed-state deformation ratio is reached, and calculating volume resistivity of the cushion layer; and comparing the volume resistivity with a preset evaluation parameter to obtain a defect detection result of the cushion layer.

Abstract: Defect detection method for a semi-conducting bedding layer of a power cable includes: obtaining a length parameter, a corrugation pitch parameter, radius parameters, and a thickness parameter of a power cable; obtaining a first resistance value between a shield and a corrugated sheath, and calculating a second resistance value of the shield based on the length parameter and the corrugation pitch parameter; calculating a radial resistance value of the semi-conducting bedding layer based on the first resistance value and the second resistance value; determining a contact angle of a critical point of contact between the corrugated sheath and the semi-conducting bedding layer based on the radius parameters and the thickness parameter; calculating volume resistivity of the semi-conducting bedding layer based on the radial resistance value and the contact angle; and comparing the volume resistivity with a preset evaluation parameter to obtain a defect detection result of the semi-conducting bedding layer.

Abstract: Defect detection method for a semi-conducting bedding layer of a power cable includes: obtaining a length parameter, a corrugation pitch parameter, radius parameters, and a thickness parameter of a power cable; obtaining a first resistance value between a shield and a corrugated sheath, and calculating a second resistance value of the shield based on the length parameter and the corrugation pitch parameter; calculating a radial resistance value of the semi-conducting bedding layer based on the first resistance value and the second resistance value; determining a contact angle of a critical point of contact between the corrugated sheath and the semi-conducting bedding layer based on the radius parameters and the thickness parameter; calculating volume resistivity of the semi-conducting bedding layer based on the radial resistance value and the contact angle; and comparing the volume resistivity with a preset evaluation parameter to obtain a defect detection result of the semi-conducting bedding layer.