6results about How to "Reduce establishment" patented technology

The present invention discloses a single-port laparoscopic fixation device for pneumoperitoneum-free, the single-port laparoscopic fixation device comprising an incision retractor and an in-vivo telescopic support system. The in-vivo telescopic support system uses the anterior superior iliac spine as a support point, and controls an air cushion support frame to lift the incision retractor through a pneumatic adjustment mechanism, so that the angle between the incision retractor and the human abdomen is between 20°-45°. The in-vivo telescopic support system and the pelvis form an isosceles triangle support system. The present invention adopts internal support to make the incision retractor form an angle of 20-45 degrees with the abdominal wall, converting the original surgical blind area into direct vision surgery, which is more conducive to operation, greatly reducing the difficulty of surgery and the risk of surgical side effects, while reducing the establishment of external brackets, reducing trauma, reducing pollution links, and streamlining the surgical process.

The present invention relates to an online calibration method and system for a coal gasification device. A calibration model of a coal gasification device is constructed in advance, and calibration data required for calibrating the coal gasification device is obtained. Finally, the obtained calibration data is input into the calibration model of the coal gasification device to obtain a calibration result of the coal gasification device, and a calibration report for online processing is automatically generated, thereby reducing the time cost of manual calibration, improving the calibration efficiency and accuracy of the coal gasification device, and reducing the preparation and verification time of the calibration report of the coal gasification device.

The invention relates to the technical field of spatial modeling and three-dimensional point cloud data processing, in particular to a point cloud model optimization method and a base station point selection method based on point cloud model feature extraction. The method comprises the steps of firstly performing down-sampling on a point cloud model, and then for each point, acquiring a unit normal vector of a fitting plane of the point and a neighborhood point of the point as a unit normal vector of the point; performing normal vector optimization on each point in the simplified point cloud; and calculating the feature measurement of each point in combination with the optimized unit normal vector of each point in the simplified point cloud, and selecting the points with the feature measurement in a set feature interval to form a feature point cloud. According to the method, data simplification of the point cloud model is realized under the condition that the original features of the point cloud model are reserved.

The present invention discloses a flexible crawler shock-absorbing clamping system, including a driving component and a clamping component; the clamping component has a special-shaped slide groove and a clamping trolley; the mating surface of the special-shaped slide groove is equipped with a clamping trolley, and the surface shape is consistent with the processing surface; the clamping trolley has a crawler, and contacts and presses the processing surface of the workpiece to be processed through the crawler; the material of the crawler is EPDM rubber. The clamping system of the present invention realizes the free movement of the machine tool spindle along the XYZ direction, will not affect the basic functions of the whole system, and realizes real-time clamping of the periphery of the processing area to be processed; the longitudinal connecting shaft and the slider provide movement and support in the Z direction, the spindle provides clamping force through the locking mechanism, realizes movement and support in the Y direction through the special-shaped slide groove, and the clamping trolley provides movement and support in the X direction. The special-shaped part matching the processing surface of the workpiece can keep the clamping trolley completely in contact with the processing surface to ensure the clamping effect, thereby improving the processing quality.

The present invention relates to a system for implementing pulse dust removal control based on a weighted mechanism, the system has K pulse valves, the system includes M sub-chambers, each sub-chamber has N pulse valves, each sub-chamber has a weighted module, one end of the N pulse valves in each sub-chamber is connected together, and all are connected to the weighted modules in the sub-chamber; the system also includes A output modules, and the A output modules satisfy the following condition: A=N+M. The present invention also relates to a method, device, processor and storage medium for implementing pulse dust removal control based on a weighted mechanism. The system, method, device, processor and storage medium for implementing pulse dust removal control based on a weighted mechanism of the present invention are adopted, which reduces the number of PLC output points and the number of relays, reduces the compilation of programs, and reduces the investment in automatic control systems. In addition, due to the large reduction in output points, output redundancy becomes possible. Design maintenance and care become faster, and it is convenient to change process parameters.

This invention discloses a dynamic quality analysis and optimization system method based on the ultimate computing power of a development model, belonging to the field of software engineering process measurement and quality prediction optimization technology. It addresses the difficulties in quality decision-making caused by inconsistent and untraceable multi-source process data, static defect analysis, and the unstable and easily reversed linkage prediction of productivity and defect escape rate. The method unifies the reading of project process data and standardizes, completes, and weights the data according to a data dictionary to form a unified dataset, automatically generating and versioning the stored documents. It statistically analyzes defect severity and weighted defect quantity within a rolling time window, calculating the defect density sequence and Cpk. A two-layer linkage prediction model is constructed, with gating corrections for productivity and defect escape rate. Satisfaction regression and Monte Carlo output distribution results are used for quality decision-making.