83results about How to "Avoid splitting" patented technology

The invention relates to a same-hole multi-stage pore water pressure observation device and an installation method of the same-hole multi-stage pore water pressure observation device. Comprising a plurality of digital osmotic pressure probe assemblies arranged in a monitoring hole from bottom to top, an interstage osmotic cylinder assembly connected between two adjacent digital osmotic pressure probe assemblies, and a watertight joint assembly used for connecting the adjacent digital osmotic pressure probe assembly and interstage osmotic cylinder assembly; the digital osmotic pressure probe assembly comprises a hollow water permeable cylinder, a pore water pressure gauge assembly arranged in the water permeable cylinder, a high-permeability material filled between the inner wall of the water permeable cylinder and the pore water pressure gauge assembly, and water permeable geotechnical cloth wrapping the high-permeability material; and a multi-core cable is electrically connected between the adjacent pore water pressure gauge assemblies. The same-hole multi-stage pore water pressure observation device and the installation method thereof have the advantages that the pore water pressure monitoring equipment and the backfill material are integrally designed, prefabricated and installed, the field installation technology is simplified, and the monitoring cost is reduced.

The invention provides a document question-answering system and method based on a large model, and relates to the technical field of artificial intelligence, and the system comprises a document segmentation module which is used for segmenting a document uploaded by a user according to a paragraph structure to obtain a plurality of paragraph nodes; and the answer generation module is connected with the document segmentation module and is used for performing similarity matching on a query question proposed by a user and each paragraph node and sending the paragraph node with the highest similarity into a local large language model for processing so as to display answer information associated with the query question to the user. The method has the beneficial effects that the document is segmented according to the paragraph structure, so that the related content is effectively prevented from being split into different paragraph nodes, the context continuity is ensured, and the accuracy of a search result is improved; and the answer information is generated by adopting a local large language model, so that data leakage and privacy risks are avoided, and the data security is enhanced while the user privacy is effectively protected.

The invention provides a nuclear power plant system flow chart digitalization method and device and related equipment. The method comprises the following steps: acquiring a plurality of flow chart files corresponding to a target nuclear power plant and item attributes of a plurality of items; wherein each flow drawing file comprises a plurality of pieces of icon information, and each piece of icon information is used for representing one type of item; constructing a flow chart directory tree based on the plurality of flow drawing files and the item attribute of the item corresponding to each piece of icon information; wherein the flow chart directory tree comprises a drawing directory hierarchy and an item recording hierarchy, the drawing directory hierarchy comprises at least one flow drawing file, and the item recording hierarchy comprises at least one item; determining a corresponding target digital element from a drawing catalog level or an item catalog level; and displaying the target digital element in a preset drawing display area. The analysis efficiency of various operations in a nuclear power plant system can be improved through the digital flow chart.

The invention discloses a self-adaptive interdisciplinary learning path recommendation method based on deep learning. The method comprises the following steps: S1, constructing a historical learning data set; s2, constructing a knowledge point difficulty scoring model based on a deep learning algorithm; s3, generating a student learning ability portrait; s4, generating a preliminary interdisciplinary learning path according to the learning ability portrait of the student and the output of the knowledge point difficulty scoring model; s5, dynamically adjusting a knowledge point sequence and a difficulty level in the interdisciplinary learning path; s6, the system evaluates the performance of the students on each knowledge point in the learning process in real time through a knowledge point difficulty scoring model, and dynamically adjusts the difficulty level of the knowledge points; and S7, after the student completes the learning task, the system optimizes the recommendation strategy of the interdisciplinary learning path according to the learning performance and the learning feedback. According to the method, the actual learning ability of the student can be reflected, and personalized learning path recommendation which better conforms to the current state of the student is provided for the student through the portrait, so that the learning efficiency and effect are improved.

The utility model discloses a systematic ecological restoration system for a coastal mud flat wetland, which relates to the technical field of ecological environment restoration and comprises coastal mud flat wetland restoration areas including a salt marsh vegetation restoration area, a mangrove forest restoration area, an oyster reef restoration area and a bird habitat restoration area. The outward side of the coastal mud flat wetland restoration area is provided with a shore side, and the other side of the coastal mud flat wetland restoration area is arranged at the offshore side end. After the specific damage condition of the main composition structure of the damaged and degraded coastal mud flat wetland restoration area is analyzed, system restoration and comprehensive restoration are considered, a multi-measure fusion restoration system is adopted, multi-target coupling and multi-function improvement are achieved, and compared with an existing single-target and single-measure restoration system and scheme, the method has the advantages that the method is simple and convenient to operate, and the cost is low. And the cutting and further damage of the coastal mud flat wetland ecosystem caused by imperfect remediation measures are avoided.

The invention discloses a laser radar-based efficient obstacle recognition method and terminal, and the method comprises the steps: carrying out the scanning through a laser radar with a preset number of wire harnesses, and obtaining the laser point cloud data in a preset range in front of a vehicle; filtering ground points in the laser point cloud data, and only retaining the ground points; with the laser radar as the center and the preset angle as the unit, a preset range in front of the vehicle is divided into fan-shaped areas; for each fan-shaped region, calculating a spatial distance between a point cloud point in the fan-shaped region and the laser radar, classifying the point cloud point according to the spatial distance, and identifying an obstacle according to a classification result; according to the method, operation is simplified, the obstacle recognition efficiency is improved, the hardware requirement is reduced, and the refresh rate stability of obstacle recognition is improved, so that the requirement for rapidness of obstacle emergency processing is met.

The invention discloses a special first-aid medicine and article storage and distribution construction system and method. The system comprises an Internet of Things module, a multi-subject cooperation module, an inter-hospital cooperation module, a cloud computing platform module, a block chain module, an intelligent scheduling center module, a storage network module and an emergency response module. The method comprises the steps of 1, demand integration and joint purchase; step 2, storage network construction and inventory optimization; step 3, intelligent scheduling and path planning; 4, emergency response and cross-mechanism deployment are carried out; 5, whole-process tracing and data uploading are carried out; step 6, performance monitoring and continuous optimization; according to the invention, a special first-aid medicine and article storage and distribution construction system is designed, and standardized data interaction and close cooperation among medical institutions, suppliers and logistics enterprises are realized by establishing a multi-subject cooperation mechanism such as joint purchase, inventory sharing, emergency allocation and performance monitoring. The joint purchasing module gathers the purchasing demands of the medical institutions in the region.

The utility model discloses a motor assembly, including motor cover, the motor that sets up in the motor cover, damping seat and support frame, and the motor includes casing and sets up in casing and mutually cooperates stator subassembly and rotor subassembly, and stator subassembly is fixedly connected with casing, and rotor subassembly has the axle, and the one end of axle is equipped with bearing, and the bearing chamber is protruding on the casing, and bearing is accommodated in bearing chamber, damping seat is at least partially set between casing and motor cover, and damping seat is in contact with motor cover, and damping seat and bearing chamber at least partially overlap in radial direction, and the number of damping seat is provided with at least two, and at least two damping seat around the circumferential direction of axle even arrangement, support frame is connected with damping seat, and support frame and casing are hard contact. The utility model can avoid the risk of soft rubber being cut while realizing the effect of shock absorption and noise reduction.

The utility model provides a cantilever beam structure, and relates to the technical field of building structure reinforcement design, the cantilever beam structure comprises a fastening structure, an expanded-base anchor bolt and a concrete beam, the fastening structure comprises a fastening steel bar and a fastening steel plate, the fastening steel bar and the fastening steel plate enclose to form a hoop which is fixed on an original concrete column; the expanded-base anchor bolt comprises a conical expanded-base body and an anchor rod, the original concrete column is provided with a drill hole, the conical expanded-base body and part of the anchor rod are located in the drill hole, and the other part of the anchor rod protrudes out of the first side face of the original concrete column; one end of the concrete beam is connected with the original concrete column and wraps the anchor rod. The original concrete column is surrounded by the fastening structure, so that concrete splitting when the original concrete column structure is stressed can be effectively avoided, and safety and reliability of the structure are guaranteed.

This invention proposes a text-enhanced temporal prediction method and system based on a large-scale language model word embedding space, belonging to the field of large-scale language models and integrated energy systems. The method includes: acquiring historical load time-series data, segmenting it into time-series fragments and mapping them to fragment embedding vectors; reprogramming the fragment embedding vectors using the word embedding matrix of a frozen large-scale language model to obtain temporal semantic vectors; acquiring unstructured text data and inputting it into the frozen large-scale language model for encoding to obtain word-level text semantic vectors; using the temporal semantic vectors as queries and the text semantic vectors as keys and values, performing gated cross-attention fusion through a gated cross-attention fusion module to obtain deep fusion features; and inputting the deep fusion features into a prediction head module to output the final prediction result. This invention achieves deep co-spatial fusion of temporal numerical values ​​and text semantics, improving prediction accuracy and interpretability.

The application relates to a space target joint imaging and attitude inversion method based on a spaceborne platform, and relates to the field of inverse synthetic aperture radar imaging, in particular to a space target joint imaging and attitude inversion method based on a spaceborne platform. The application aims to solve the problems that in the existing space target imaging process of a spaceborne platform, three-dimensional high-order space-variable range migration and phase errors caused by complex relative motion between the target and the platform are difficult to realize high-precision imaging, and the existing attitude estimation algorithm needs to be completely compensated for the rectangular component segmentation and orbit error before the attitude inversion can be realized. The process is as follows: one, a narrowband tracking system of a radar obtains target slant range and a radar line-of-sight unit vector; two, a wedge-shaped transformed signal is obtained; three, spatial Doppler parameter distribution of a special point is obtained; four, an imaging result is obtained; and five, accurate estimation of target attitude parameters is completed through plane coefficient fitting.

The invention discloses a cardiac magnetic resonance report generation method and system based on a multi-dimensional tissue feature knowledge graph. The method comprises the following steps: performing motion correction and multi-view feature extraction on a cardiac magnetic resonance multi-sequence image to obtain an original numerical attribute of an instance node; constructing a dynamic knowledge graph containing tissue characteristics and medical priori, and generating a target reasoning chain with a clinical basis in combination with neural symbol reasoning; then, in a controlled generation stage, an inference chain is injected into a prefix tree, in a decoding step, mask physical shielding logic conflict description is utilized, and a pointer network is synchronously started to directly copy original numerical value attributes into a text sequence; and finally, executing consistency logic verification through a text restoration technology, and identifying and intercepting factual errors. Through the atlas constraint and numerical unvarnished transmission mechanism, the factual illusion problem of a generative model is effectively solved, and the accuracy and reliability of a heart diagnosis report are remarkably improved.

The invention discloses a network flow generating and repairing method based on protocol constraint. The method comprises the following steps: analyzing an original traffic capture file, extracting basic features through stream-level recombination and session segmentation, and mapping a continuous time sequence and a discrete protocol field to a uniform feature space; and on the basis, constructing a diffusion type network flow generation model to capture a statistical attribute and time sequence dependency relationship of the network flow. In the generating or repairing process, a protocol state machine is constructed, protocol constraint is introduced in the reverse denoising stage, the sampling process is constrained through a legality guiding mechanism, and protocol logic violation in the generating process is avoided. And finally, through feature inverse mapping and virtual protocol stack state maintenance, reconstructing to obtain network flow data which meets a communication protocol specification and can be correctly analyzed by a real protocol stack. According to the method, the generation and repair of the network traffic can be realized under a unified framework, and the correctness of a result in protocol semantics is ensured.

The shaving board with the good sound insulation effect comprises a sleeve plate and side plates, the side plates are longitudinally fixed to the two sides of the sleeve plate, a thick plate is installed above the position between the sleeve plate and the side plates, protruding plate blocks are arranged between the front portion and the rear portion of the top of the thick plate, and lower grooves are formed between the protruding plate blocks. A layer of sound insulation pad is attached to the surface between the protruding plate block and the thick plate. According to the shaving board with the good sound insulation effect, a layer of sound insulation pad is attached to the surface between the protruding plate block and the thick plate, a layer of sound insulation pad is attached to the position between the thick plate and the clamping wood plate, under the limitation of the protruding plate block and the upper groove, the sound insulation pad is prevented from displacing, the protruding part at the other position of the sound insulation pad is also embedded in the lower groove, and therefore the sound insulation effect is good. The inner cavity is filled with some moisture absorption particles, after the clamping wood board is laid and pressed, the moisture absorption particles can be prevented from leaking out through the pressing block, the effects of sound insulation and noise reduction can also be achieved, and the problem that a shaving board cannot isolate noise is solved.

The present invention discloses a forestry tree branch pulling device, including a mounting frame structure, the mounting frame structure including two hoops, first square rods are symmetrically fixed on both sides of the hoops, first square tubes are slidably sleeved on the two first square rods, second square tubes are fixed on the opposite sides of the two first square tubes, and first locking bolts are screwed on the first square tubes. Through the setting of the branch protection structure, when the tree branch is pulled down, the first roller will push the root of the tree branch in the opposite direction to the tree main pole, thereby effectively preventing the root of the tree branch from splitting from the tree main pole, and the force of the first roller pulling the root of the tree branch can be adjusted by twisting the locking nut. Through the setting of the branch pulling structure, the tree branch can be pressed down by two second rollers, and through the setting of the wire tensioning structure, the force of the wire pulling down the branch pulling structure can be adjusted by controlling the contraction of the spring, thereby effectively preventing the tree branch from being broken and damaged due to the uncontrollable pulling force.

The application mainly relates to the technical field of vehicle engineering. The application discloses a simulation software internal friction hysteresis behavior simulation method, device, equipment and medium. The method comprises the following steps: in a vehicle dynamics simulation software, the relative displacement and the motion direction of a suspension kinematic pair at the current time are measured; a target friction model is converted into a friction force calculation function formula with the relative displacement as a variable; the friction force is obtained by solving the function formula, and the positive and negative values are adjusted according to the motion direction, so as to simulate the reciprocating loading and unloading hysteresis behavior; the friction force is applied to the kinematic pair, and the motion state at the next time is updated through a built-in solver of the software. The application can ensure high-precision description of the microscopic elastic deformation and hysteresis behavior of the suspension kinematic pair, and significantly improve the calculation efficiency, data integrity and solution stability of the whole vehicle smoothness simulation.

This application relates to a method, apparatus, and measurement system for dynamic measurement of assembly data. The measurement system includes a moving crossbeam and multiple calibration targets, with a 3D scanner and a laser tracker mounted on the moving crossbeam. The method includes: controlling the moving crossbeam to move to a measurement pose; positioning multiple calibration targets using the laser tracker to construct a geodetic coordinate system and tracking and determining the real-time pose of the 3D scanner in the geodetic coordinate system; controlling the 3D scanner to move and scan to obtain reference point cloud data and key area point cloud data of the assembly workpiece, and establishing the point cloud correlation between the two, establishing a workpiece coordinate system based on the reference point cloud data; based on the workpiece coordinate system, real-time pose, and point cloud correlation, mapping the key area point cloud data to the geodetic coordinate system and performing error correction; and generating an assembly deviation map based on the deviation between the corrected actual measurement data and the expected measurement data. This method can improve the cycle time efficiency and assembly accuracy pass rate of a pulsed assembly production line.

This invention relates to a surge arrester condition monitoring system, comprising a data acquisition module, a lightning strike assessment module, a prediction module, and a threshold adjustment module. The data acquisition module collects current and voltage waveforms from multiple lightning strikes within a single lightning event, as well as the time intervals between adjacent strikes. The lightning strike assessment module calculates the intensity ratio of single lightning strikes based on the surge arrester's baseline withstand parameters, quantifies the cumulative effect of consecutive lightning strikes using a time interval-based correction coefficient, and obtains a weighted fusion index of the comprehensive impact of lightning events on the surge arrester. The prediction module uses this index, combined with the natural aging rate, to update the surge arrester's estimated remaining lifespan. The threshold adjustment module adjusts the abnormal monitoring thresholds for operating parameters such as leakage current, resistive current, and temperature based on the updated remaining lifespan. This invention achieves quantitative assessment of the surge arrester's aging state, dynamic prediction of remaining lifespan, and intelligent adjustment of monitoring thresholds, effectively improving the foresight and accuracy of condition monitoring.

This invention discloses a protective device for easily splittable rock strata and a method for curtain grouting construction of dam toe slabs. It changes the conventional practice of directly constructing high-pressure sections after the low-pressure sections are completed. Instead, after grouting the low-pressure sections, a protective device for easily splittable rock strata is first installed to form a solid isolation layer. This layer directly wraps and protects the easily splittable, low-strength soft rock sections, blocking the pressure transmission and grout impact of the lower high-pressure grouting. This prevents splitting and collapse of the grouted soft rock sections from the source, protecting the fragile rock structure above the dam foundation from grouting disturbance and damage. By implementing a "protection first, construction later" approach as a fixed procedure in the construction process, the risk of grout seepage from the upper part and abnormal ash consumption during the grouting of the lower high-pressure sections is reduced, ensuring that the high-pressure sections can be successfully grouted under the designed pressure value.

The invention discloses a supervision-process-oriented multi-modal engineering document intelligent structured extraction and association system, and relates to the technical field of engineering supervision informatization. A multi-modal perception understanding module accurately analyzes texts, images and voice documents through a supervision field fine-tuning large model, multi-step chain reasoning and geometric parameter measurement; the dynamic affair graph construction module is used for defining relationships between nodes such as problems and rectification and triggering and response, establishing association according to an analysis result and dynamically updating attributes and weights; the closed-loop state tracking module determines and rectifies a flow state rule, and realizes overtime and associated risk early warning and flow evolution prediction; the interaction application module provides a visual billboard, voice interaction and automatic report generation functions; the model optimization module acquires new case data, calculates process deviation and adjusts model parameters, and the system improves supervision document processing efficiency and rectification management and control precision and supports intelligent decision making.

The invention provides a chip-to-wafer bonding structure with a chip supporting function and a preparation method of the chip-to-wafer bonding structure. According to the method, a polysilazane solution is adopted as a precursor, chip gaps are selectively filled through a spin-coating process, and then the polysilazane solution is converted into a silicon dioxide supporting structure. And the warping problem caused by high temperature and thick film deposition is avoided by utilizing the characteristics of high efficiency and normal-temperature treatment of the spin-coating process. The height of the supporting layer can be accurately controlled by controlling spin-coating parameters, formation of redundant film layers on the top of the chip is avoided, and the subsequent process is simplified. The formed silicon dioxide supporting structure is completely compatible with a standard semiconductor process, chip splitting in the thinning process can be effectively prevented, and the process reliability and economical efficiency are improved. The problems of wafer warping, low process efficiency, high cost and the like caused by filling silicon dioxide through chemical vapor deposition in the prior art are solved.

This invention belongs to the field of intelligent perception and simulation training technology for maritime navigation. It discloses a method and system for realistic training and evaluation of ship collision avoidance rules at sea. By constructing a hierarchical question bank, it generates scenario assembly lists and uniformly schedules ship motion simulation, 3D visual scenes, radar / AIS fusion display, and voice communication interaction. During training, it collects control inputs, motion states, target information, and communication records to form a traceable chain of evidence, and aligns sampling based on evaluation anchor points. An automatic scoring model is established based on result and process indicators, outputting an evaluation report with sub-scores, evidence location, a list of violations, and retraining suggestions. It is suitable for teaching, retraining, and assessment, improving the efficiency and achievement rate of collision avoidance decision-making training.

The application discloses a vertical connecting node of round bamboo and a construction method thereof and belongs to the technical field of connecting technologies of fabricated bamboo structures. The vertical connecting node of round bamboo comprises a bamboo cylinder, a first horizontal through hole, a through rod assembly, a vertical composite shear core, a hoop self-tightening band and a buckling half-steel ring. The vertical composite shear core is arranged in the bamboo cylinder and comprises a steel sleeve, a resin wrapping layer outside the steel sleeve and a filled resin filling layer. The vertical composite shear core is provided with a second horizontal through hole. The hoop self-tightening band is arranged outside the bamboo cylinder and comprises a shape memory alloy. The buckling half-steel ring is arranged outside the bamboo cylinder, and the through rod assembly penetrates through the buckling half-steel ring. After the hoop self-tightening band is activated, hoop pre-pressure is generated, cooperates with an FRP outer constraint layer and forms a hoop self-tightening constraint system to inhibit hole splitting and local buckling. The vertical composite shear core provides the required shear resistance and slip resistance of the node, reduces stress concentration, avoids the fracture of the end of the bamboo cylinder and realizes overall sealing, corrosion resistance and durability.

This invention relates to the field of medical care technology and discloses a shape memory alloy (NiTi) hip replacement proximal femoral anti-fracture device. It includes a fitting body, with a first clamping arm fixedly disposed at the mid-front end of the fitting body. A fourth connecting mechanism and a sixth connecting mechanism are fixedly disposed at the front end of the fitting body, symmetrically arranged on the upper and lower sides of the first clamping arm. This invention is simple to operate, provides firm fixation, and is practical and reliable. NiTi shape memory alloy possesses shape memory effect, superelasticity, and good biocompatibility. Using NiTi shape memory alloy as the raw material to prepare the encircling device, it is in a flat, extended state at low temperatures and recovers its designed curved shape after heating, firmly and effectively encircling the lesser trochanter. It is mainly applied in hip replacement surgery for elderly patients with femoral neck fractures and osteoporosis, effectively preventing proximal femoral splitting during femoral prosthesis wear.

This invention belongs to the technical field of smart healthcare management, specifically relating to a deep learning-based AI-powered intelligent early warning and data management method and system for hospital infection control. The method includes collecting multi-source medical data from patients, constructing structured input features, training an infection risk prediction model, and performing real-time inference, spatial comparison, and risk path analysis of patient infection risks. The system includes a data acquisition module, a model training module, a model inference module, a risk comparison module, a multi-level assessment module, and an infection control business management module. These modules operate collaboratively to achieve the prediction, identification, and graph-based management of infection risks. This invention improves the intelligence and visualization level of hospital infection early warning, possessing advantages such as strong real-time performance, clear data structure, and good traceability.

The application discloses a multi-protocol conversion method, system, device and medium between fire alarm devices, and belongs to the technical field of communication; wherein the method comprises the following steps: S1, loading a protocol template; S2, establishing communication with a source device; S3, original data analysis and conversion; S4, data standardization writing into a database; S5, standardized data mapping and frame construction; S6, establishing communication with a target; the system comprises the following modules: a protocol configuration module, used for storing and managing template information of all converted protocols; a data acquisition and analysis engine, used for establishing communication with the source device; a data standardization and database module, used as a data transfer hub of the system; a data mapping and encapsulation engine, used for preparing communication data for the target device; and a data sending engine, used for communicating with the target device; the application solves the problems of protocol incompatibility between new and old fire alarm devices, lack of flexible conversion mechanism and difficulty in unified access to an Internet of Things platform in the prior art.

The present invention discloses a two-dimensional shape decomposition method and system based on salient branch detection. First, salient points on the shape contour are extracted based on the shape salient characteristic function; secondly, multiple salient branches on the shape are extracted through multi-label graph segmentation; thirdly, the segmentation endpoint candidate set and the accompanying point set of the salient points are determined by the salient branches; finally, the decomposition result of the shape is obtained through a recursive spectral clustering process in combination with the visibility of the points on the shape and the salient branch information of the shape. The present invention can efficiently decompose complex two-dimensional shapes into multiple approximately convex parts through the shape salient characteristic function, and can especially handle shapes with multiple slender curved branches. The present invention can avoid specifying parameters such as the number of salient branches and the number of shape decomposition parts. At the same time, the entire decomposition process is carried out in the spectral representation space, which can produce semantically clearer decomposition results and improve the robustness of the algorithm parameters.

The invention relates to the technical field of nursing anti-infection isolation equipment, and particularly discloses internal medicine nursing anti-infection isolation equipment which comprises an equipment box, the equipment box comprises a box body and a box window, a lifting assembly is arranged at the bottom of the box body, a garbage can is fixedly connected to the upper portion of the lifting assembly, a plastic bag is hung in the garbage can, and the plastic bag is fixedly connected to the bottom of the box body. The upper portion of the garbage can is movably connected with a sealing assembly, an air blowing opening and an air suction opening are formed in the upper portion of the sealing assembly, the inner side of a box window is movably connected with a material extruding assembly, and the inner side of the box body is fixedly connected with a spraying plate. Germs in the garbage can are isolated, the risk that the germs overflow is reduced, the concentration of the germs in the equipment box is greatly reduced, and the risk that the medical waste is infected even if the box window is opened and the medical waste is discarded is avoided due to the disinfectant sprayed by the spraying plate.

The invention discloses a novel chiral covalent organic framework mimic enzyme catalyst and a preparation method and application thereof.The preparation method comprises the following steps that 1, 3, 5-tris (4-aminophenyl) benzene, 2, 5-bis (propyl-2-alkyne-1-yloxy) terephthalaldehyde and dialdehyde monomers with different functional groups are dissolved in an organic solvent, an acetic acid aqueous solution is added, a reaction is conducted for 2-4 h, and the chiral covalent organic framework mimic enzyme catalyst is obtained; the chiral covalent organic framework catalyst is prepared by the following steps of: reacting at the temperature of between 80 and 120 DEG C for 2 to 4 days to obtain three-component covalent organic framework materials with different properties, fixing a small molecular catalyst, namely a proline derivative, in a framework through click reaction, and washing, drying and deprotecting the framework to obtain the chiral covalent organic framework catalyst. The prepared chiral covalent organic framework material serves as a heterogeneous catalyst to be used for asymmetric aldol condensation reaction in a green solvent water phase, good catalytic effect and chiral selectivity are shown, separation and recovery of the catalyst can be achieved through simple centrifugation or filtration after the reaction, environmental pollution is effectively reduced, and the method is suitable for industrial production. Meanwhile, cost is reduced, and application prospects are good.

The present application relates to the technical field of decoration design, and more particularly to a decoration real scene effect picture generation method based on style transfer. The method obtains an indoor space original picture to be decorated and a decoration style reference picture, performs scene analysis on the indoor space original picture to generate a target semantic segmentation picture and a target depth estimation picture; extracts global visual features and structural factors of the decoration style reference picture, and local content features of each decoration semantic region in the target semantic segmentation picture, calculates a correlation weight matrix based on the structural factors, and weightedly fuses to generate regionalized style modulation parameters corresponding to each decoration semantic region; taking the style adaptability of each semantic region and the overall scene visual consistency as the target, generates an initial real scene effect picture through a conditional generative adversarial network, and then combines the structural factors, the target depth estimation picture and the original picture lighting characteristics to optimize rendering to obtain a target real scene effect picture. The method realizes accurate adaptation of style and scene, and improves the coordination and realism of the effect picture.