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The utility model discloses an active cross brace control device for inclined bridge tower construction, which comprises a steel wedge block, a servo component, a cross brace steel pipe and a steel connecting piece, one end of the transverse supporting steel pipe is connected with the inner side of one tower column of the inclined bridge tower through a steel connecting piece, the other end of the transverse supporting steel pipe abuts against the inner side of the other tower column of the inclined bridge tower through a servo assembly and a steel wedge block, and the servo assembly comprises a front end plate, a rear end plate, a steel frame, a servo jack, a locking mechanism and a base. The bottom side of the steel frame is installed on the base, the rear end plate is connected with the rear side of the steel frame and the base, a base of the servo jack is installed in the steel frame and connected with the steel frame and the rear end plate, the hydraulic rod extends out of the steel frame and is connected with the front end plate, and the two locking mechanisms are arranged on the two sides of the servo jack respectively. The locking mechanism comprises a locking screw and a locking nut. The utility model has the advantage that the safety and the stability of the bridge tower structure are ensured.

The invention discloses a road congestion degree evaluation method and device based on laser radar detection, and relates to the field of vehicle control, and the method comprises the steps: constructing an ENU coordinate system with a preset reference point as a coordinate origin as a reference coordinate system, and calculating an external parameter relation between a main laser radar point cloud coordinate system and the reference coordinate system; drawing and recording a closed boundary of the selected road section on an XOY projection plane of the reference coordinate system; preprocessing the laser radar point cloud, including coordinate transformation and elimination of point cloud outside the boundary of the road section and ground point cloud; obtaining a laser radar vehicle detection method in deep learning; based on a laser radar vehicle detection method in deep learning, all vehicles in a selected road section at a certain moment are detected, the number of the vehicles is counted, and traffic flow data are obtained; the method comprises the following steps: scanning correlation matching vehicles of front and back frames, smoothing vehicle tracks through Kalman filtering, calculating real-time vehicle speeds, and counting an average number and a median of the speeds of all effective vehicles in a road section;

The application discloses a remote fault diagnosis method for an aircraft system based on a hybrid observer and belongs to the technical field of fault diagnosis.The application fully considers the sparse available measurement values caused by a transmission network, makes up for the shortage of an existing estimation method designed based on continuous measurement values, fully utilizes a new generation of information technology, and effectively improves the reliability of an information physical system operation of an aircraft; the information physical system framework is introduced into the field of remote fault diagnosis of the aircraft system, a remote fault diagnosis scheme is established through system modeling, simulation verification and hybrid system theory, and the development of the health management technology of the aircraft system is promoted to a certain extent.

The application relates to a coaxial connector dynamic assembly control method based on time domain reflection feedback. The method comprises the following steps: constructing a target impedance model; calibrating an assembly zero point; driving a shielding shell to quickly approach a preset safe depth; performing a fine regulation cycle of step-by-step pressing and impedance detection to obtain an instantaneous impedance characteristic value; and stopping pressing and fixing the position of the shielding shell when the instantaneous impedance characteristic value falls within the target impedance parameter range. The application controls the mechanical assembly depth through the electrical performance feedback closed loop, effectively eliminates the influence of the manufacturing tolerance on the characteristic impedance, solves the impedance dispersion problem in the assembly of special-shaped terminals, and significantly improves the high-frequency performance consistency and assembly yield of the connector.