6results about How to "Efficient split" patented technology

The invention discloses a cyclodextrin bonded covalent organic framework chiral stationary phase for chiral amino acid separation and a preparation method of the cyclodextrin bonded covalent organic framework chiral stationary phase. The method comprises the following steps: modifying silica gel microspheres by using a silane coupling agent to obtain silanized silica gel microspheres, reacting the silanized silica gel microspheres with a covalent organic framework by using a one-pot method to prepare covalent organic framework modified silica gel microspheres, and carrying out a thiol-alkyne click strategy by using vulcanized cyclodextrin as a functional molecule to obtain the covalent organic framework modified silica gel microspheres. The cyclodextrin bonded covalent organic framework chiral stationary phase is prepared; the cyclodextrin bonded covalent organic framework has strong chiral recognition capability, a packed column of the cyclodextrin bonded covalent organic framework can realize baseline separation of 12 dansyl amino acids within 30 minutes in liquid chromatography, the separation degrees of valine, isoleucine and leucine respectively reach 5.017, 4.351 and 3.782, the preparation process is simple to operate, the reaction condition is mild, the cost is low, and the cyclodextrin bonded covalent organic framework is suitable for industrial production. The practical application prospect is realized.

The utility model discloses a quick split servo motor with inertia disc testing device, and particularly relates to the technical field of servo motor testing, the quick split servo motor with inertia disc testing device comprises a chute plate, an electric cylinder and a concave plate, the electric cylinder is fixed at the top end of the chute plate, the concave plate is fixed at the output end of the electric cylinder, and the top end of the concave plate is provided with a split mechanism; the splitting mechanism comprises a positioning frame plate fixedly mounted at the top end of the concave plate, the bottom end of the inner wall of the concave plate is fixedly connected with a servo motor, and the output end of the servo motor is fixedly connected with a push plate; and an upward pushing electric cylinder is mounted at the top end of the pushing plate. The splitting mechanism is adopted, the electric cylinder is started to drive the concave plate to move leftwards, the concave plate drives the positioning frame plate to enable the frame strips to move leftwards, the insertion rod and the positioning sleeve block are separated, the servo motor is started to drive the push plate to move upwards, the efficiency of splitting the push-up electric cylinder is greatly improved, efficient splitting of the servo motor can be achieved, and the splitting efficiency is improved.

The invention discloses an office file processing method and device and a nonvolatile storage medium. The method comprises the following steps: receiving a plurality of first files in a cloud office system; sending the first file to a department subsystem corresponding to the first identification information; receiving a second file which is obtained by editing the first file and is sent by each department subsystem; merging the plurality of second files to obtain a first target file, and sending the first target file to a management department subsystem; receiving a second target file obtained by editing the first target file sent by the management department subsystem, and splitting a file corresponding to the second identification information in the second target file; and determining first identification information corresponding to the split file according to a preset association relationship, and sending the split file to a department subsystem corresponding to the first identification information. According to the method and the device, the technical problem of relatively poor user experience caused by incapability of efficiently integrating and splitting the files is solved.

The application discloses a large-scale two-dimensional label map aggregation node optimization method, relates to the technical field of computers, and comprises the following steps: when a map interactive operation or label node data changes, the zoom level and the viewport range of a current prompt map are acquired; based on the viewport range, target label nodes in the viewport range are screened from the label node data; according to the zoom level, the basic aggregation parameters for label node aggregation are determined; and combined with the node density of the target label nodes in the viewport range, the basic aggregation parameters are dynamically adjusted to obtain the aggregation parameters for the current viewport range. The large-scale two-dimensional label map aggregation node optimization method significantly reduces the memory occupation and the calculation burden caused by repeated creation of node objects, improves the overall operation stability and the resource utilization efficiency of the system, and thus better meets the comprehensive requirements of performance, real-time performance and display effect of a large-scale two-dimensional label map application scene.

The present invention proposes a ship-shore information service exchange method for autonomous traffic tasks, which realizes efficient and reliable information exchange between ships and shores through an autonomous traffic task system; the method includes splitting message information according to information importance, selecting the optimal communication link using multi-attribute decision analysis, and setting a preset time threshold to monitor the transmission process. Through precise data splitting and transmission strategies, the present invention improves the efficiency and reliability of data transmission and reduces the risk of data loss and delay; the method can adapt to changes in the communication environment in real time, optimize resource utilization, and improve user experience and management efficiency, which is of great significance for promoting the development of autonomous traffic tasks.

The invention discloses a knowledge-intensive multi-document question-answering method and product based on multi-agent cooperation, and the method comprises the steps: 1, dynamically generating a multi-dimensional complementary expert role set based on the multi-view agent cooperation of roles, forming a candidate strategy set based on all expert roles, and selecting an optimal strategy for integrating knowledge through a voting mechanism; 2, constructing a closed-loop process of refinement of the reflection knowledge, extracting atomic facts through a sliding window and an reflection construction mechanism, and performing a recursive process of task decomposition and knowledge distillation to obtain essence knowledge; 3, based on the optimal strategy in the step 1 and the essence knowledge obtained in the step 2, cross-document comprehensive reasoning is achieved, and a final answer is generated. According to the method, the limitation of a single role view angle is broken through, a high-quality knowledge basis is provided for subsequent reasoning, different types of knowledge-intensive cross-document tasks can be flexibly handled, dispersed and multi-source information is efficiently processed, and the method has wide application prospects and market value.