56614results about How to "Simple structure" patented technology

The invention relates to the technical field of navigation, and particularly provides a quadruped robot autonomous navigation method and system for a special environment, and the method comprises the steps: generating a semantic tag for depth point cloud data corresponding to a depth image through employing a recognition result of a target detection network for the depth image; calculating local odometer information according to the laser point cloud data and the inertial sensor data by using a laser radar mileage calculation method; fusing the depth point cloud data with the semantic label, the laser point cloud data with the semantic label and the local speedometer information to obtain positioning data in a pre-constructed point cloud map; constructing a multi-layer cost map according to the pre-constructed point cloud map, the newly acquired depth image, the laser point cloud data and the inertial sensor data by using a sensing method of a region planner; and generating navigation path information according to the positioning data and the multi-layer cost map by using a global path planning algorithm and a local path planning algorithm. The method improves the navigation precision.

The invention discloses a power transmission and transformation equipment fault early warning system based on online monitoring, and the system comprises the following modules: a multi-parameter sensor module which is used for collecting data in real time; the wireless sensor network module is used for transmitting the data to the data processing center for processing; the data fusion module is used for generating a comprehensive health score of the equipment by adopting a multi-modal data fusion algorithm based on a self-evolution nested network; the trend prediction module introduces an adaptive residual module to carry out trend prediction based on a nonlinear time sequence analysis technology of a generative adversarial adaptive residual network; the early warning threshold value adjusting module is used for dynamically adjusting an early warning threshold value by adopting a self-adaptive evolutionary algorithm of meta reinforcement learning; the maintenance suggestion generation module is used for generating maintenance suggestions; and the power grid dispatching linkage module is used for automatically linking a power grid dispatching system and detecting and adjusting an equipment load. According to the invention, a multi-parameter fusion and generative adversarial network method is adopted, and an adaptive residual module is introduced, so that accurate early warning of faults of power transmission and transformation equipment is realized.

The invention belongs to the technical field of medicines, and particularly relates to quinazoline stilbene derivatives as well as a preparation method, a composition and application thereof. The quinazoline stilbene derivative is synthesized by combining quinazoline with pharmacophores such as a styrene skeleton, and the quinazoline stilbene derivative structurally contains functional units such as a quinazoline functional unit and the pharmacophores such as the styrene skeleton, so that the compound is endowed with good anti-tumor activity. Researches show that the quinazoline stilbene derivative has a good anti-tumor effect including KRASG12C mutation non-small cell lung cancer, has the advantage of multi-target action, has an adjusting effect on Src kinase and related downstream signal channels of Statat, mTOR, Akt and PI3k, and is beneficial to reduction of tumor drug resistance. Compared with a complex structure modified compound, the quinazoline stilbene derivative disclosed by the invention is simple in structure and easy to prepare, and has a good application prospect.

The invention relates to the technical field of software development, and particularly provides a self-adaptive code annotation updating method and system, a terminal and a storage medium, and the method comprises the following steps: confirming that codes are updated, extracting an updated code set, and combining and constructing an abstract syntax tree for the codes; performing semantic analysis on the abstract syntax tree by using a deep learning model to generate a semantic vector, and constructing a program dependency graph based on the semantic vector; analyzing a dependency relationship among code elements in the program dependency graph by utilizing a graph neural network; and generating a code annotation based on the semantic vector and the dependency relationship between the code elements by using a natural language generation model. According to the method, the real-time performance and the accuracy of the code document are ensured, the readability and the maintainability of the code are greatly improved, and the maintenance cost is reduced.

The invention discloses a de-noising diffusion model driven texture enhanced infrared and visible light image fusion method and system, and relates to the technical field of image processing and computer vision. The method comprises the following steps: performing multi-scale space-time modeling on infrared and visible light images; enhancing high-frequency texture features of the infrared image through an edge detection convolutional network; based on a bidirectional multi-scale convolution module and a bidirectional attention fusion module, capturing a remote dependency relationship and encoding multi-scale information to ensure full utilization of global information and accurate capture of local details; and optimizing the structural fidelity and color intensity distribution of the fusion result based on an adaptive structural similarity loss function and multi-channel intensity and texture loss so as to improve the quality of the fused image. According to the method, the process of diffusion feature extraction is enhanced by fusing the de-noising diffusion model and the texture enhancement strategy. Meanwhile, a bidirectional multi-scale convolution technology and an attention mechanism are combined, so that comprehensive utilization of global information and accurate mastering of local details are ensured.

The invention provides a ternary logic gate circuit, a calculation circuit, a chip and electronic equipment. The ternary logic gate circuit provided by the invention can realize addition and subtraction of 1 to an input logic value. Based on the ternary logic gate circuit, 27 univariate functions of ternary logic are utilized, the ternary logic gate circuit is applied to the ternary logic circuit, the purpose of simplifying the structure of the ternary logic circuit can be achieved, the number of transistors in the ternary logic circuit can be reduced, the power consumption of the ternary logic circuit can be reduced, and the reliability of the ternary logic circuit is improved. And the calculation efficiency of the ternary logic circuit is improved.

The invention discloses an industry report generation optimization method and system based on reinforcement learning and a knowledge graph, and relates to the technical field of industry report generation, and the method comprises the following steps: firstly, collecting industry data from multiple sources, preprocessing the industry data, determining the collection frequency according to the type and importance, then constructing the knowledge graph, and recognizing entities by using a plurality of technologies. Designing a reinforcement learning model, defining space and reward functions such as states and actions, training according to a specific algorithm, analyzing and generating a preliminary report according to user requirements by means of the model and graph selection data, combining an optimization algorithm with a language model and a graph to improve the report, and finally evaluating, feeding back and adjusting a parameter strategy to improve system performance. The method can improve the industry report generation efficiency, optimize the report quality, enhance the depth and accuracy, adapt to different requirements, can be self-promoted, and effectively assists the decision and development of each industry.

The present invention relates to the field of medical equipment, and in particular to a body position reversal device and a method of using the same. The body position reversal device comprises a support structure and a retaining device for fixing a human body, wherein the retaining device is rotatably mounted on the support structure, and the retaining device comprises a front support mechanism for supporting the front side of the human body and a rear support mechanism for supporting the rear side of the human body, wherein a retaining space for accommodating the human body is formed between the rear support mechanism and the front support mechanism; the body position reversal device also comprises an operating mechanism or a driving device for driving the retaining device to reverse so that the human body can switch between a supine position and a prone position. The beneficial effects of the present invention are: it is convenient for the reversal and adjustment of the human body position, the device has a simple structure, the reversal is flexible and labor-saving, and the safety of the human body during the reversal process is ensured.

The invention provides a tunnel blasting effect small sample regression prediction method. The tunnel blasting effect small sample regression prediction method specifically comprises the following steps that feature data before blasting and blasting effect data after blasting are obtained and sorted; performing data normalization processing on the data, and selecting input features of a regression prediction model by using grey correlation analysis; establishing a generative adversarial network model, and augmenting and expanding the training data set; establishing a blasting effect multi-kernel Gaussian process regression prediction model; searching and predicting model hyper-parameters based on a multi-strategy integrated optimization sparrow algorithm; and predicting the new blasting effect based on the prediction model under the optimal parameter. According to the method, the unbalanced problems that blasting engineering data are difficult to collect, the number of samples is small, and meanwhile the number of samples with the excellent effect is large and the number of samples with the poor effect is small are effectively solved. The prediction precision and prediction efficiency of the blasting effect are improved, the generalization ability of blasting effect prediction is improved to the greatest extent, and the construction safety and efficiency of an engineering project are guaranteed.

The invention discloses a light spot real-time monitoring and feedback focusing system and method for laser processing. The system comprises a laser processing module, an emission light source module, a power monitoring module, a light spot monitoring module and an automatic control module. The emitting light source module is used for emitting laser beams; the power monitoring module is used for monitoring the laser power emitted by the emitting light source module; the light spot monitoring module is used for monitoring light spots of diffuse reflection light after the laser is emitted to the surface of the workpiece; the automatic control module sets reference signals of the following parameters: processing laser power and shape, position and size of a processing light spot; and according to the reference signal and the corresponding feedback signal, the laser emission parameter and the laser incident workpiece surface parameter are automatically adjusted, so that the error between the reference signal and the corresponding feedback signal is within a set precision range. According to the method, the light spot form and the light intensity in the machining process are dynamically monitored, and the light spot form and the energy in the laser machining process are adjusted in real time through feedback.

The invention belongs to the technical field of ocean engineering, and discloses a column structure response forecasting method and system based on a residual connection neural network. According to the method, a physical information neural network (PINN) and a Kolmogorov-Arnold (KAN) theorem are combined, and the precision and the calculation efficiency of a prediction model are remarkably improved through a multi-layer nonlinear mapping framework and residual connection optimization. According to the method, physical equation constraint loss and environmental parameter input are introduced, so that the model can more accurately simulate dynamic response characteristics in an extreme marine environment, and the limitation of a traditional method in nonlinear factor processing and real-time calculation is effectively solved. Experiments show that the method has remarkable advantages in the aspects of accuracy, generalization ability and calculation efficiency, provides reliable and efficient technical support for ocean platform structure design and operation state monitoring, and has important theoretical value and wide application prospects.

The invention relates to a dam deformation prediction method with embedded feature selection, and belongs to the field of dam safety monitoring and artificial intelligence, and the method comprises the following steps: obtaining the original monitoring data of an environment quantity and a dam deformation quantity; performing preprocessing of data cleaning, data filling and data normalization on the original data; evaluating the importance of environmental features based on a random forest algorithm, and selecting an optimal feature set in combination with a recursive feature method; constructing a dam deformation prediction model based on a convolutional neural network, a long and short term memory neural network and an attention mechanism deep learning algorithm; and the optimal feature is used as the input of CNN-LSTM-Attention to predict the deformation of the dam. Through the method in the application, the environmental characteristics having significant influence on dam deformation can be effectively determined, the complex mapping relation between the deformation and the environmental characteristics is fully excavated, and accurate dam deformation prediction is realized.

The invention discloses a carbon capture and energy storage and thermal power generation coupled energy comprehensive utilization system, which comprises a thermal power generation system, an energy storage system and a carbon capture system, and is characterized in that a compression energy storage unit of the energy storage system is coupled to a feed water heat regeneration unit of the thermal power generation system; an expansion energy release unit of the energy storage system is coupled to a steam turbine generator set of the thermal power generation system, and a steam-water cycle working medium in the thermal power generation system serves as a heat storage and cold storage medium of the carbon dioxide energy storage system. The carbon capture system is coupled between the thermal power generation system and the carbon dioxide energy storage system, captures carbon dioxide gas in the flue gas, inputs the carbon dioxide gas into the carbon dioxide energy storage system to serve as a circulating working medium, and heats the circulating working medium in the expansion energy release unit through waste heat of the flue gas. According to the scheme, the operation efficiency of the thermal power generation system and the operation efficiency of the carbon dioxide energy storage system can be improved, the overall energy utilization efficiency of the system can be improved, and meanwhile the emission amount of gas pollutants is reduced.

A buffering hardware hinge outside a cup comprises a hinge cup and a hinge arm, the hinge cup and the hinge arm are connected in a hinged mode through an upper connecting rod and a lower connecting rod, a guide groove penetrating through a body is formed in the bottom of the hinge cup, and a driving plate is installed at the outer bottom of the hinge cup in a covering mode; a sliding block is arranged on the top of the driving plate and installed in the guide groove in a sliding mode. The end, facing the hinge cup, of the upper connecting rod extends outwards to form a driving arm, and when the hinge is closed, the driving arm acts on the sliding block to push the sliding block to slide in the guide groove; a buffer is fixedly mounted at the outer bottom of the hinge arm, a piston rod or a cylinder body part of the buffer is connected with the driving plate, and the buffer has a damping effect on the movement of the driving plate, so that the damping effect when the hinge is closed is realized. The device has the beneficial effects that the buffer is installed outside the hinge arm, through the design of the guide groove and the driving plate, the external space is effectively utilized, and the problem that the internal space is limited is avoided.

The present invention discloses a mechanical tensioning gravity energy storage power generation device based on a rail train and a power generation track line thereof, including a power station under the track, two rows of drive plates are arranged at the bottom of the train, the power station includes a box buried under the track, a power generation assembly is arranged in the box, the power generation assembly is arranged in the middle of the track, and the power generation assembly is connected to a tensioning rope assembly, the tensioning rope assembly includes a tensioning steel wire rope, one end of the tensioning steel wire rope is connected to the power generation assembly and arranged in the box, and the other end is connected to a mechanical tensioning adjustment assembly, the mechanical tensioning adjustment assembly is arranged outside the track, and the mechanical tensioning adjustment assembly drives the power generation assembly by adjusting the tensioning force of the tensioning steel wire rope, and is pressed toward the drive plate on the train. The present invention adopts a mechanical tensioning rope design to realize the pressing of the power generation assembly and the train drive plate, avoids the power station pressing being affected by the ambient temperature, improves the applicability of the power station, and is also more convenient for maintenance and adjustment.

The invention relates to the technical field of intelligent data processing and artificial intelligence in the power industry, and provides an adaptive graph database multi-modal power knowledge question-answering method and system.The method comprises the steps that for a data query subtask in a semantic nested tree, intelligent error correction and expansion are conducted on natural language query, and after an expanded query statement is obtained, the data query subtask in the semantic nested tree is obtained; extracting a data result from the power industry database; for the knowledge query sub-tasks in the semantic nested tree, matching data results with nodes in the graph knowledge base, and obtaining knowledge results through a large language model based on feature representation of the matched nodes and the data results; based on the knowledge result and the data result, a natural language answer is obtained through a generation function of a large language model; and cross-channel cooperative processing and comprehensive answering are realized.

The invention discloses a domain-specific language compiler optimization method and system based on multi-layer intermediate representation, and the method comprises the steps: S1, defining a DSL to simplify the representation and operation in an MMIR, classifying operators in the MMIR, and enabling all kinds of operators in the MMIR to correspond to keywords in the DSL; s2, analyzing the target MLIR code, extracting input, output and control flow semantics of each operation, mapping an operator in the MLIR code into a corresponding expression in a DSL (Digital Subscriber Line), and converting each optimization strategy into the DSL expression; and S3, generating a DSL code according to the DSL representation, and continuously simulating and evaluating the performance of different optimization strategies by adopting a Monte Carlo tree search algorithm to find an optimal optimization strategy so as to realize compiler optimization. The method has the advantages of being simple in implementation method, low in programming complexity, high in program performance, high in flexibility and the like.

The invention provides a wearable exoskeleton device, an operation method and a robot teleoperation system. The wearable exoskeleton device comprises a backpack connecting piece and an arm exoskeleton. The bearing connecting piece is used for enabling a user to bear the exoskeleton device, and arm exoskeletons are arranged at the positions, corresponding to the left arm and / or the right arm of the user, of the bearing connecting piece. The information collector is arranged on the arm exoskeleton, so that the motion data of the arm in multiple dimensions when the user operates the arm exoskeleton can be collected. Compared with a traditional mechanical robot teaching system which is complex and high in cost, due to the fact that the structure is relatively simple, the production cost is greatly reduced, and meanwhile the mechanical robot teaching system has the advantages of being light, stable, convenient, wearable and the like. Through the arrangement of the information collector, accurate motion data can be rapidly obtained from all the human body joint components corresponding to the exoskeleton, the precision degree and efficiency of robot teleoperation can be rapidly improved, and the cost of training the robot is effectively reduced.

The invention relates to the technical field of remote sensing, and discloses a remote sensing ecological index assessment method based on deep learning, which comprises the following steps: acquiring Landsat remote sensing image data and land utilization data of a research area, and extracting remote sensing ecological index factors of the land utilization data and the preprocessed Landsat remote sensing image data; normalizing the remote sensing ecological index factors and performing dimension reduction analysis to obtain dimension-reduced remote sensing ecological index factors, inputting the dimension-reduced remote sensing ecological index factors into a time sequence convolutional network model, and generating a comprehensive feature vector through causal convolution, extended convolution and global average pooling operations; performing linear combination on the comprehensive feature vector and the principal component analysis feature value, and constructing a time sequence convolutional neural network remote sensing ecological index model for evaluating the ecological environment quality condition of the research area; according to the method, the accuracy, the reliability and the practicability of remote sensing ecological index evaluation are improved by adding the remote sensing ecological landmark factors reflecting human disturbance and water environment change and constructing the time sequence convolutional neural network remote sensing ecological index model.

The invention provides a rigidity valve which comprises fixed iron, a valve element and a valve seat. The valve core is sleeved in the fixed iron and the valve seat; the valve element can move in the axial direction relative to the fixed iron and the valve seat so as to selectively open or close a valve port in the valve seat. The stress areas of the upper surface and the lower surface of the valve element are equal, so that the upward gas pressure and the downward gas pressure borne by the valve element are equal. Through the configuration, the operation comfort and the response speed of the rigidity valve are improved, meanwhile, the sealing performance is improved, and the sealing stability is improved.

The invention relates to a light path system for forming point ring light spots and a laser processing device. The light path system comprises a first light source, a first collimating lens, a first conical lens and a reflecting mirror which are arranged in the first linear direction. The second light source, the second collimating lens, the focusing lens and the second conical lens are arranged in the second linear direction, the reflecting mirror is located between the second collimating lens and the focusing lens, and the center of the reflecting mirror and the center of the second conical lens are each provided with a through hole allowing a second light beam emitted by the second light source to penetrate through; a first light beam emitted by the first light source passes through the first collimating lens and the first conical lens and then is reflected by the reflector, and the reflected first light beam sequentially passes through the focus lens and the second conical lens and then forms an annular light spot at the focus of the focus lens. A second light beam emitted by the second light source sequentially passes through the second collimating lens and the focus lens and then forms a point light spot located in the center of the annular light spot at the focus of the focus lens. The composite light spot of the center point light spot and the outer ring light spot can be formed, the structure is simple, and the manufacturing cost is low.

The invention provides a temperature-resistant and salt-resistant cross-linking tackifying filtrate reducer for a soil-phase-free water-based drilling fluid as well as a preparation method and application of the temperature-resistant and salt-resistant cross-linking tackifying filtrate reducer, and belongs to the technical field of drilling. The temperature-resistant and salt-resistant cross-linking tackifying filtrate reducer for the soilless phase water-based drilling fluid comprises the following raw materials in parts by weight: N, N-dimethylformamide, a cross-linking agent and a cross-linking agent, the invention relates to a water-based adhesive which is prepared from the following components in parts by weight: 15 to 25 parts of N, N-dimethylacrylamide, 1 to 10 parts of 3-[(3-methacrylamidopropyl) dimethylammonium] propane-1-sulfonate, 1 to 10 parts of long-chain alkyl polyoxyethylene ether methacrylate, 0.005 to 0.015 part of macromolecular cross-linking agent, 0.03 to 0.08 part of initiator A and 80 to 100 parts of deionized water. The tackifying filtrate reducer can resist the temperature of 180 DEG C, can resist NaCl to be saturated, has excellent tackifying, shear-improving and filtrate-reducing effects under high-temperature and high-salt conditions, improves the rheological property and the filtrate-reducing property of drilling fluid, and ensures safe and efficient drilling of a deep well.

The invention discloses a tunnel type underground gas storage combined with temperature control, belongs to the technical field of compressed air energy storage, and can solve the problems that the cost of temperature control measures in an existing gas storage is high, and maintenance is difficult. The gas storage comprises a lining; the sealing structure covers the inner wall surface of the lining; the breathable heat conduction structure sleeves the inner side of the sealing structure; an annular cavity is formed between the sealing structure and the breathable heat conduction structure; the annular partition pieces are sequentially arranged in the annular cavity in the axial direction of the gas storage and used for dividing the annular cavity into a first temperature control area and other temperature control areas which are sequentially arranged, and the simulated operation temperature of each temperature control area is sequentially increased from the first temperature control area; a water storage bag is arranged in each temperature control area; and the water circulation structure is arranged on the outer side of the gas storage, communicates with each water storage bag and is used for forming a circulation water path with the water storage bags. The method is used for temperature control of the tunnel type underground gas storage.

The invention discloses a pole climbing robot for a wind power tower pole, which is characterized in that the robot mainly comprises a robot body, 4-8 pole climbing mechanisms, a snake-shaped swing arm and a movable studio, wherein the snake-shaped swing arm and the movable studio are mounted on one side of the robot body; the robot body is an annular body formed by combining two semicircular cambered bodies or three equal cambered bodies; the diameter of an internal ring of the circular body is matched with the diameter of the wind power tower pole; the pole climbing mechanisms mainly comprise upper foot wheels, lower foot wheels, connecting arms, driving gears, thrust screw rods, nut gears and supporting seats; the upper foot wheels are connected with the lower foot wheels by the connecting arms through wheel shafts; the connecting arms are connected with the thrust screw rods by connecting pin shafts on the connecting arms, and form movable hinges; the 4-8 pole climbing mechanisms are distributed in the circular robot body uniformly; the snake-shaped swing arm consists of three swing arm parts, namely a large arm, a middle arm and a small arm; and the movable studio comprises two paralleled linear guide rails, a walk driving device and an operation room.

The invention discloses a three-phase permanent magnet synchronous motor full-speed-domain driving control system and a control method thereof. The system is composed of a torque limiting module, a full-speed-domain control neural network module, a current control module, a coordinate transformation module-I, a coordinate transformation module-II, a coordinate inverse transformation module, an SVPWM module, a SiC MOSFET driving module, a full-speed-domain position rotating speed observation module, a weak magnetic feedback module and a three-phase permanent magnet synchronous motor. The control method is used for driving the control system. According to the method, accurate tracing of the optimal dq-axis reference current working point is realized based on deep learning, and accurate control of three operation modes of MTPA, field weakening control and MTPV is realized; an improved mobile vision field estimation algorithm is adopted, and the rotor position and the rotor rotating speed are accurately estimated within the full-speed domain range; the SiC MOSFET is used as an inverter switching tube, and a brand new drive circuit is designed to adapt to the operation condition of the electric vehicle.

The utility model discloses a material taking mechanism and a self-service pizza machine, the material taking mechanism comprises a mounting seat, the mounting seat is provided with a material taking frame in a sliding manner, and the material taking frame is provided with a driving mechanism for driving the material taking frame to open and close. The material taking frame is driven by the driving mechanism to be opened and closed, so that the pizza box is clamped, the structure is simple, the pizza box is picked up in a two-side or two-end clamping mode, the stability is high, and the pizza box is prevented from shaking and falling off in the carrying process.

The invention discloses a high-integration-level and efficient-cooling external rotor motor ducted fan system, which belongs to the technical field of ducted fans and comprises a motor stator winding and a fan external rotor integrated part integrally formed by fan blades and a motor external rotor turntable, the integrated shell is integrally formed by a motor inner stator sleeve, a ducted nacelle, a motor controller main shell and a plurality of groups of ducted stationary blades; a cooling structure is mounted on the integrated shell; a motor stator winding is fixedly connected to the outer wall of one end of the integrated shell, the front flow guide cover is fixedly connected to the fan outer rotor integrated part, and the rear flow guide cover is installed at the other end of the integrated shell. And the integrated shell is rotationally connected with the fan outer rotor integrated piece. The system is low in noise, high in integration level, high in system reliability, high in system cooling efficiency, high in power level compatibility and high in expandability.

The invention provides an anchor rod with a barb structure and a construction method.The anchor rod comprises a hollow anchor rod body, a core rod arranged in the anchor rod body and a barb part arranged on the outer side of the anchor rod body, and the length direction of the core rod is the same as that of the anchor rod body; the multiple barb parts are arranged in the length direction of the anchor rod body at intervals, a plurality of barb pieces are arranged on each barb part at intervals, and the barb pieces are obliquely arranged on the anchor rod body. And barb pieces are arranged at the positions, corresponding to the barb parts, of the core rod. According to the anchor rod with the barb structure and the construction method, the core rod is arranged in the hollow anchor rod body, and the barb pieces and the barb pieces are matched to form a special composite stress form, so that the overall pulling resistance of the anchor rod is effectively improved, the construction cost is reduced, and the construction period is shortened; and as the designed length of the anchor rod is obviously shortened, disturbance to the surrounding environment is reduced, and pollution to the environment is reduced.

The invention provides a multi-course fusion knowledge graph construction and real question analysis method and system. The method comprises the following steps: carrying out knowledge point alignment operation, carrying out integration operation on cross-course knowledge points, carrying out quantitative analysis on the knowledge points by utilizing a cosine similarity calculation method, and identifying and aligning synonymous knowledge points in different courses; performing knowledge point disambiguation operation, and processing the situation that the knowledge points have the same name and different meanings to obtain integrated knowledge points and an integrated knowledge graph; performing knowledge point standardization operation on the integrated knowledge points, and performing standardization processing on the integrated knowledge graph to obtain standardized knowledge points and a standardized knowledge graph; converting the normalized knowledge points, extracting to obtain key features, and processing according to the key features to obtain semantic feature sequence vectors; matching to obtain a matching result and applicable knowledge points; and verifying and evaluating the matching result, and mounting the question to the corresponding knowledge point. The technical problems that the knowledge point extraction result is one-sided and the result accuracy is not high are solved.

The invention discloses a modified Trim 21 (delta Trim 21)-based target protein degradation control system, which takes a modified protein delta Trim 21 degradation system as a basis, takes blue light, abscisic acid, Danoprevir and / or MK-5172 as inductors, controls the combination of target protein and delta Trim 21 by introducing and modifying a controllable protein dimerization system on the basis of the modified protein delta Trim 21 degradation system, and improves the target protein degradation control system. The protein targeted degradation capable of being modularly regulated and controlled is carried out. Two regulation and control modules, namely a target protein recognition module and a degradation module based on E3 ubiquitinase, are constructed by splitting and recombining a controllable protein dimerization system and a delta Trim 21 structural domain. The invention also discloses a degradation device comprising the system. The invention also discloses a method for accurately regulating endogenous proteins (degradation of proteins related to tumorigenesis) by using the programmable regulation type modular protein degradation device, so as to achieve the effect of specifically killing tumors. The invention also provides a eukaryotic expression vector and a regulation method of the programmable regulation type protein targeted degradation device.