Abstract: An intelligent obstacle detection system for an unmanned mine vehicle is provided to solve the problem of existing intelligent obstacle detection systems for unmanned mine vehicles cannot compare and analyze the actual driving data with the preset data and includes an intelligent detection platform, a route planning device, an obstacle detection device, a planning management device, an operation monitoring device, and a storage device. The route planning device is configured to perform route planning analysis for the unmanned mine vehicle to obtain a planned route of the unmanned mine vehicle. The planned route is sent to the obstacle detection device. The intelligent obstacle detection system can plan and analyze the travel route. By locking onto starting and target positions of the unmanned mine vehicles, and then obtaining point cloud data through the detection terminals and calculating with algorithms, the optimal planned route can be determined.

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: A nanosecond laser ablation and chemical thermal decomposition for preparing a super-hydrophobic micro-nano structure on stainless steel. The method solves the defects of long preparation cycle and complex process flow of a super-hydrophobic surface of stainless steel, and does not use fluorine-containing chemical reagents for modification.

Abstract: The present disclosure relates to a piezoelectric structure with an optimized electromechanical coupling coefficient, a method for manufacturing the piezoelectric structure, and a piezoelectric resonator including the piezoelectric structure. The piezoelectric structure according to the present disclosure may include a piezoelectric layer doped with a first doping element at a first doping concentration. The first doping concentration varies along a thickness direction of the piezoelectric layer with at least two change rates. An electromechanical coupling coefficient of the piezoelectric layer continuously varies along the thickness direction of the piezoelectric layer.

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.