4results about How to "High stability requirements" patented technology

The utility model discloses a 25G clock data recovery instrument which is composed of a clock extraction circuit and a high-speed signal input interface. The clock extraction circuit can accurately extract a clock signal from a 25G high-speed data signal, and a phase comparator, a voltage-controlled oscillator and a loop filter are utilized to track the phase change of the signal and generate a stable local clock synchronous with the data rate. The problem that a clock is easily interfered in high-speed data transmission is solved, a stable reference is provided for data processing and transmission, and the bit error rate is reduced. The high-speed signal input interface receives 25G data streams and works cooperatively with the clock extraction circuit. The stable local clock ensures that all links are accurately synchronized when data are received and processed, the data are processed according to a correct time sequence, the data processing efficiency is improved, the data integrity is ensured, and the system can meet application scenes such as 5G communication and high-speed network transmission which have high requirements for speed and stability.

The application relates to the technical field of jig equipment, and discloses a tool jig and a circuit board cutting device. The tool jig comprises a bottom plate and at least two clamping assemblies. The bottom plate is provided with a plurality of first fixing portions; the clamping assembly comprises a base, a clamping arm part and a fastener, the clamping arm part is movably arranged on the base, and the clamping arm part and the base are used for jointly clamping a circuit board to be cut; the base is provided with a second fixing portion and a horizontally-extended sliding groove, the fastener passes through the sliding groove and is connected with one of the first fixing portions, when the fastener is not locked, the base can move relative to the bottom plate through the sliding groove, and when the fastener is locked, the base is fixed relative to the bottom plate. According to the application, the plurality of first fixing portions are arranged on the bottom plate, so that the clamping assembly can be arranged at different positions of the bottom plate, the horizontally-extended sliding groove is arranged on the base, when the fastener is not locked, the base can move relative to the bottom plate through the sliding groove, and the position of the base can be further finely adjusted.

The application relates to the technical field of semiconductor equipment, in particular to a motor locking device and a micro-motion table, which comprises a mounting bottom plate, a motor connecting plate, a plug-in piece and a transverse locking assembly; the motor connecting plate is provided with a mounting hole; the plug-in piece is vertically inserted into the mounting hole; a driving hole is formed in the plug-in piece, and a limiting blocking part for abutting against the motor connecting plate is arranged at the upper end of the plug-in piece; the transverse locking assembly comprises a push rod slidingly mounted on the mounting bottom plate and a locking pin with one end connected with the push rod and the other end provided with a guide inclined surface; the push rod is driven to move along the axial direction, thereby driving the locking pin to be inserted into or withdrawn from the driving hole; when the locking pin is inserted, the guide inclined surface abuts against the inner wall of the driving hole, the plug-in piece is pushed to move towards the mounting bottom plate, and the limiting blocking part is pressed against the motor connecting plate. The application can realize the quick disassembly and assembly of the motor from the side, optimizes the disassembly and assembly process, and effectively improves the maintenance efficiency.

The present application relates to a resonance sensor reading self-adaptive optimization method and system based on reinforcement learning, comprising the steps of: integrating the current sampling spectrum local maximum value set, the historical sampled spectrum local maximum value point set and its linear compensation trend to construct a state space vector, and taking it as the input of the reinforcement learning strategy network; fusing the action based on the strategy network output, the fusion action including the historical local selected maximum value point selection action and the corresponding compensation action, and the fusion action being used to simultaneously realize the spectrum peak value determination and the frequency correction; the present application can fully utilize the historical information and dynamic characteristics of the sensor by introducing the modeling method based on reinforcement learning, realize the real-time optimization of the reading, and overcome the problem that the traditional fixed filtering or single point correction method is not sensitive to interference; the fusion action mechanism adopted simultaneously considers the peak value selection and the frequency compensation, and significantly improves the anti-noise and anti-vibration ability of the resonance sensor in complex environment.