13results about How to "High efficiency requirements" patented technology

The invention discloses a full-automatic intelligent multifunctional high-order nonlinear fluorescence dynamics testing method and device, and relates to the field of nonlinear optics and nano photonics. An optical testing device composed of an exciting light generation module, an automatic power regulation module, an exciting light modulation module, a sample scanning module, a data acquisition and analysis module and an intelligent control module is established, and under the excitation of incident laser, based on the overall coordination of the intelligent control module, the optical testing device is established. Other modules are driven to complete the dynamic response test of a nonlinear fluorescence sample, and full-automatic intelligent, multifunctional, high-precision, simple, efficient, low-cost and universal fluorescence dynamic test analysis is realized. The problems that traditional manual operation wastes time and labor and the testing precision is low are solved. In addition, the multifunctional integration of the fluorescence response curve, the fluorescence rise time, the fluorescence lifetime and the fluorescence imaging effectively improves the test efficiency and the application scene, and greatly reduces the system cost.

The invention discloses a railway track vertex cloud data extraction method and system based on deep learning. The method comprises the following steps: classifying track point cloud data by using a point cloud network enhanced multi-scale classification model to obtain a track key component point cloud classification data set; rail head point cloud data are extracted from the rail key component point cloud classification data set, center line fitting is carried out, a rail head center line is generated, and a reference point is selected on the rail head center line; a rolling window method is adopted, and a plurality of slices are generated along the rail head center line according to the reference points; and carrying out rail top point extraction on the plurality of slices to obtain a continuous rail top coordinate point set. The system comprises a data classification module, a rail head center line generation module, a slice generation module and a rail vertex extraction module. The rail top data extraction efficiency can be improved, the data accuracy and the rail safety are ensured, and scientific maintenance and management of the railway rail are facilitated.

The invention relates to a production test method suitable for WIFI and Bluetooth equipment, and the method comprises the steps: configuring a hot spot of a router, and enabling a WIFI module and a test tool of tested equipment to be connected with the hot spot; the Bluetooth module and the test fixture of the tested equipment are triggered through the hot spot, automatically enter a Bluetooth Mesh network and establish an adaptive network; the tested equipment and the test fixture realize information synchronization in the Bluetooth Mesh network through point-to-point and many-to-many communication mechanisms; the WIFI module of the tested device sends a WIFI test command, and the Bluetooth module of the tested device sends a Bluetooth test command; and after the test is completed, determining a test result through a prompt signal, and ending the test process. The problems of limited device connection number, high operation complexity and the like in a traditional testing method are solved, and a flexible and efficient solution is provided for multi-device parallel testing in large-scale production.

This invention discloses a fast activity recognition method based on a multi-path parallel MLP mixer architecture. First, multi-dimensional sequence data is used as input. An embedding module encodes the multi-dimensional data to obtain a feature sequence. This feature sequence is then fed into multiple MLP mixer branches, where features are mixed along the time, channel, and frequency domain dimensions, respectively. In each branch, after passing through multiple MLP mixers, global pooling is used to aggregate the feature sequence along the time dimension into a feature vector. Finally, the feature vectors obtained from each branch are concatenated and sent to a classification head for activity recognition. Compared with existing deep learning-based activity recognition methods, this invention achieves more accurate activity recognition with fewer model parameters, less floating-point computation, and faster inference speed, meeting the requirements of high precision and high efficiency in practical applications.

The invention relates to an electroplated metal quality real-time monitoring method based on deep learning, and belongs to the technical field of industrial automation and intelligent detection. Comprising the following steps: step 1, image acquisition and preprocessing; step 2, deep learning of a feature extraction and detection framework; step 3, carrying out integrated detection without NMS post-treatment; and step 4, defect classification and real-time feedback. According to the invention, through multi-scale feature fusion and large kernel convolution, the capturing capability of tiny defects is significantly improved, high detection precision can be maintained in complex illumination and strong reflection environments, and the method has the characteristics of high precision, high efficiency and high adaptability, and is suitable for various industrial scenes.

This invention discloses a tooling and operating method for quickly positioning and welding lifting lugs. The work includes: a rectangular outer frame structure fixed by longitudinal beams, symmetrical longitudinal beams, cross beams, and symmetrical cross beams; two crossbeams and two reinforcing longitudinal beams fixed within the rectangular outer frame; multiple adjusting seats on each of the longitudinal beams, symmetrical longitudinal beams, cross beams, and symmetrical cross beams, each with adjusting bolts; guide limiting strips on each of the cross beams and symmetrical cross beams; two guide limiting strips in the same group are used to guide and limit the left and right movement of the lifting lug; the thickness of the guide limiting strips is greater than the thickness of the lifting lug; a clamping bracket is provided inside the two guide limiting strips in the same group, and the clamping bracket is fixed to the cross beams and symmetrical cross beams by positioning screws, which can pass through the lifting lug and position and limit its location; the clamping bracket is used to clamp the lifting lug. This operating method enables rapid dimensional positioning of the lifting lug with the ground and shaped frame.

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 invention discloses automatic sorting equipment for cultivated diamonds, and relates to the technical field of cultivated diamond processing, the automatic sorting equipment comprises a sorting machine body, a PLC control electric box is fixedly mounted outside the sorting machine body and electrically connected with an external power supply, and a circulating water supply structure is fixedly mounted at the bottom in the sorting machine body; a vibrating plate and a guide plate are vertically arranged in the sorting machine body; an auxiliary conveying and cleaning device is arranged between the vibrating plate and the guide plate and is connected with a water pipe of the circulating water conveying structure; the whole device is controlled to work through the PLC control electric box, and organic combination of multiple functions such as vibration sorting, circulating water conveying washing and auxiliary conveying and cleaning is achieved. According to the equipment, the problems that the screen is blocked and diamonds are difficult to move can be effectively solved, the screen and the sliding groove can be cleaned, the screen and the sliding groove are kept clean and tidy, and therefore the sorting efficiency and accuracy are improved, meanwhile, cyclic utilization of water resources is achieved, and waste and environmental pollution are reduced.

The invention discloses a rock-fill dam material gradation prediction method based on machine learning. Firstly, a camera is used for obtaining an image of rock-fill particles on a laboratory scale, and then an image instance segmentation algorithm is used for extracting particle granularity statistical data. A regression prediction model is established according to the relation between percentage distribution of different particle sizes and fractal dimensions. A new optimization algorithm is used for fine adjustment of parameters of the prediction model to predict fractal dimensions, then the percentage of each particle size is subjected to inverse calculation according to the fractal dimensions, and a particle grading curve is generated. Finally, the effectiveness of the method is verified on the scale of a construction site. The method shows high accuracy and excellent generalization ability, and verifies the effectiveness of the method in the aspect of rapid nondestructive testing of rockfill gradation; rapid grading judgment of a construction area can be completed within 5 minutes, and the requirements of modern engineering for high efficiency and high precision are greatly met.

This application discloses a high-efficiency bearing inner ring groove grinding device, including a lower support base. A guide groove is provided on the upper surface of the lower support base, and a rotating support shaft is disposed within the guide groove. A connecting support is provided on one side of the guide groove, and the connecting support is connected to a grinding mounting base. A guide plate is provided on the outer side of the mounting bushing of the grinding mounting base, and a guide groove is provided on the guide plate. A grinding seat is slidably disposed within the guide groove. This application employs a multiple guide plate design, enabling simultaneous grinding of the bearing inner ring groove from four directions. Compared to traditional single-point or double-point grinding methods, this improves processing efficiency, significantly shortens the processing time per piece, and meets the high-efficiency requirements of modern mass production. By driving a rotating component to rotate the rotating support shaft, the bearing inner ring rotates continuously during grinding. Combined with the coordinated operation of multiple grinding heads, uniform grinding without dead angles is achieved throughout the entire circumference.

The embodiment of the present application discloses a storage management method, device, electronic device and storage medium for shelves. The method includes: obtaining the storage information of goods on the shelves, the goods information of the goods supply place and the attribute information of multiple transport vehicles; determining whether it is necessary to perform a replenishment operation on the goods according to the storage information and the goods information; if it is necessary to perform a replenishment operation on the goods, determining the replenishment information of the goods; determining the target transport vehicle for performing the replenishment operation on the goods and the replenishment transportation path of the target transport vehicle from the multiple transport vehicles according to the replenishment information, the attribute information of the multiple transport vehicles and the location information of the goods supply place, so as to control the target transport vehicle to perform the replenishment operation according to the replenishment transportation path. The technical solution provided by the embodiment of the present application can solve the problems of low shipping efficiency and high labor cost in the prior art, and can meet the high efficiency requirements of people's replenishment operations and picking and sorting operations.

The utility model belongs to the technical field of laser processing, and particularly relates to a detection device and laser processing equipment. The detection device provided by the embodiment of the utility model comprises a mounting frame, a positioning assembly, a detection assembly, a moving assembly and a dust removal assembly. The positioning assembly is mounted on the mounting frame and used for positioning the welding position of the workpiece; the detection assembly is installed on the installation frame and used for detecting the welding quality of the welding position of the workpiece; the moving assembly is in transmission connection with the mounting frame so as to drive the mounting frame to be close to the welding position of the workpiece; and the dust removal mechanism is mounted on the mounting frame and used for removing dust at the welding position of the workpiece. The laser processing equipment provided by the embodiment of the utility model comprises the detection device. According to the embodiment of the invention, the efficiency and accuracy of welding quality detection are improved.

This application discloses a mechanical mold core structure, including a mold core shell, which is U-shaped and symmetrically composed; a hollow square tube shaft is located on the inner side of the middle part of the mold core shell and has a slot; an assist rod is installed vertically through the slot through the hollow square tube shaft and has a pin inside; both ends of the pin are fixedly connected to the hollow square tube shaft wall; the pin is movably connected to a pin hole at one end of a connecting piece, and the other end of the connecting piece is movably connected to a pin lug of the connecting piece; a spring plate is disposed on the outer side of the mold core shell; an inward limiting member is disposed on the spring plate, and an outward limiting member is disposed on the inner wall of the hollow square tube shaft, and a connecting bolt passes through the inner wall of the hollow square tube shaft and is connected to the inward limiting member on the spring plate to form an integral unit. The mechanical mold core structure provided by this application can adjust the expansion and contraction of the mold core inside the insulation cavity at the center of the self-insulating wall panel and realize automatic demolding of the inner mold core, thereby improving the adaptability of the mechanical mold core and controlling the quality and efficiency of manufacturing the standard thickness of the insulation cavity of the self-insulating wall panel.