691results about How to "Achieve conversion" patented technology

The invention discloses a prefetch instruction conversion optimization method based on memory access mode virtualization, which comprises the following steps of: when an executable file is executed in a dynamic instruction conversion mode, acquiring an address memory access mode of a prefetch instruction of x86 architecture, and analyzing an operand and an offset calculation mode of the prefetch instruction; according to an address memory access mode, an operand and an offset calculation mode, an instruction or an instruction sequence of an ARM architecture capable of completing memory address calculation and a prefetching function is constructed, a prefetching instruction of an x86 architecture is replaced with a corresponding ARM instruction or instruction sequence to complete instruction dynamic conversion, and conversion of the prefetching instruction of a complex address mode under the x86 architecture is achieved. And the execution reliability of the executable file in the dynamic instruction conversion mode is improved.

The invention discloses a reference camera device and system based on a motion capture system, and the device comprises a camera connection module which is used for building the signal connection between a reference camera and the motion capture system, and outputting a successful connection result of the reference camera after the successful connection; the synchronous calibration module is used for synchronously calibrating the reference camera and the motion capture camera and outputting a calibration success result after calibration succeeds; the projection module is used for projecting the to-be-measured object in the three-dimensional space to the reference camera for two-dimensional display to obtain virtual scene information; the virtual-real superposition module is used for superposing the virtual scene information and an image actually shot by the reference camera to judge whether the motion capture effect is correct or not, and if the motion capture effect is correct, outputting a motion capture effect correct result; and the data recording module is used for judging whether a recording button in the motion capture system is clicked or not, and if the recording button is clicked, recording to obtain recorded video data information and caching the recorded video data information. The method has the effect of improving the accuracy of virtual and real scene comparison during shooting of the reference camera based on the motion capture system.

The invention particularly relates to a data analysis method and system. The method comprises the steps of extracting original data corresponding to a target service from a target data source according to a pre-configured data extraction strategy of the target service, loading the original data to an operation data storage layer of a data warehouse, and storing the original data; operating a data storage layer to output the original data to a detail data layer; the detailed data layer performs data preprocessing on the original data to obtain basic data and outputs the basic data to the summarized data layer; the summarizing data layer performs aggregation processing on the basic data according to a current data processing task corresponding to the target business, obtains structured data corresponding to the target business, and outputs the structured data to the application data service layer; and the application data service layer performs data analysis on the structured data according to the service configuration information corresponding to the current data processing task, and outputs a corresponding data analysis result. According to the scheme, efficient and accurate data management and analysis can be realized.

The invention discloses a sensing, storing and computing integrated visual system based on a photoelectric synapse device and a memristor device, and belongs to the field of intelligent vision and brain-like computing. The image sensing module is used for converting two-dimensional image information of an image to be detected into a two-dimensional electric signal by utilizing the matrix arrangement photoelectric synapse device, and preprocessing the two-dimensional electric signal; the array memristor-based image recognition module is used for receiving the preprocessed two-dimensional electric signals, standardizing the two-dimensional electric signals to obtain an image feature matrix by using a memristor array structure, inputting the feature matrix into a multi-layer convolutional neural network, and performing matrix operation on the input feature matrix for multiple times by the multi-layer convolutional neural network to obtain an image feature matrix; and further extracting image feature information, and finally outputting an image recognition result. The visual system can be widely applied to the field of image sensing and recognition, and has the characteristics of blurred image enhancement, high recognition rate and the like.

The invention provides a dual-polarization tunable mode converter and mode multiplexing system based on thin film lithium niobate, and belongs to the technical field of integrated photonic devices. The lithium niobate film sequentially comprises a substrate layer, a silicon dioxide layer, a lithium niobate film layer and a silicon dioxide cladding. The Mach-Zehnder structure manufactured on the lithium niobate thin film layer is composed of an input waveguide, an output waveguide, two Y-branch waveguides and two asymmetric strip-shaped waveguides. The input waveguide and the two asymmetric strip-shaped waveguides are connected through one Y-branch waveguide, and the output waveguide and the two asymmetric strip-shaped waveguides are connected through the other Y-branch waveguide; by adding a section of wide waveguide and tapered waveguides at two ends, TE and TM fundamental modes have a phase difference of pi with the other arm after passing through a phase shift region, and the phase difference of the front and rear arms is regulated and controlled to change between pi and 0, so that the switching of output modes is realized, and meanwhile, an effect irrelevant to polarization is achieved; and the device has the characteristics of high integration level, insensitive polarization, tunability and large bandwidth.

The invention provides a switch, a switch cabinet and a data exchange method. The switch specifically comprises at least two interface modules, an exchange module and an uplink message processing module. Wherein the at least two interface modules comprise a first interface and a second interface, the first interface is configured to send and receive a first message based on a first protocol, and the second interface is configured to send and receive a second message based on a second protocol; the interface module is used for acquiring a to-be-forwarded message, wherein the to-be-forwarded message is one of the first message and the second message; the uplink message processing module is used for receiving a to-be-forwarded message from the interface module and obtaining first indication information corresponding to the to-be-forwarded message, and the first indication information is used for indicating a target interface corresponding to the to-be-forwarded message; and the switching module is used for receiving the to-be-forwarded message and the first indication information from the uplink message processing module, and sending the to-be-forwarded message to a corresponding destination interface according to the first indication information. The switch receives, processes, exchanges and forwards messages of various different protocols, the cost and power consumption of switch equipment are reduced, local resources (a memory, a hard disk, an accelerator and the like) which are originally configured in a server and have overflow conditions can be externally arranged in a cabinet to become pooling resources, the cost and power consumption of a system are further saved, and the service life of the system is prolonged. And the limitation that local resources are only used by the server is overcome, the utilization rate of the resources is improved, flexible configuration of the resources is realized, and various novel services can be realized.

The invention discloses a cross-modal medical image registration method based on a submerged space diffusion model, relates to the technical field of medical image processing, and solves the technical problem that an existing registration method is not suitable for multi-modal medical image registration. The method comprises the steps of obtaining a first modal original medical image and a second modal original medical image, and performing preprocessing operation to obtain a floating image and a target image; constructing a cross-modal conversion network, compressing a target image to a submerged space for representation by using a pre-trained auto-encoder, inputting the target image into a diffusion model, and performing training through forward noise addition and reverse noise reduction; inputting the floating image into a diffusion model of a cross-modal conversion network to generate a second modal conversion image; inputting the floating image and the target image into a registration network, and obtaining respective registered images for the floating image and the second modal conversion image; and training the registration network to obtain an image after floating image registration. The method is wide in application field, and is suitable for registration among medical images in various modes.

The invention discloses a method and a system for transmitting a unified global elevation reference by using a no-load time-frequency signal. The method comprises the following steps: acquiring a time-frequency observation value transmitted based on the no-load time-frequency signal; calculating the gravity potential difference of the two ground stations based on the transmitted time-frequency observation values; according to the gravitational potential difference and the altitude conversion model, the altitude of the ground station to be measured on the regional geoid is obtained; according to the elevation conversion relation between the regional geoid and the globally unified elevation datum plane, the altitude on the regional geoid is converted to the globally unified elevation datum plane. According to the method, the defects of high cost, low efficiency and poor precision of traditional altitude measurement can be overcome, cross-sea elevation measurement is realized, global elevation datum unification is realized at centimeter-level precision, an elevation datum unification principle is combined with a time-frequency transmission technology, and a brand-new research method is provided for realizing global elevation datum unification.

The invention relates to a cloud computing-based enterprise digital tool chain dynamic collaboration and deployment method, which comprises the following steps of: according to a data mapping relationship change list, analyzing change contents of an interface protocol and a data field by adopting a rule-based reasoning method, and according to a pre-configured interface protocol adaptation rule, establishing a data field according to the change contents of the interface protocol and the data field; generating data mapping scripts among different versions of tools; after the discarded interface is deleted, a graph-based shortest path search algorithm is adopted, the deleted discarded interface is bypassed, a data transmission path between tools is re-planned, and a complete tool chain data transmission path is re-formed; and adjusting the size of the data fragments and transmission batch parameters, optimizing the circulation efficiency of the data in the tool chain, and dynamically adjusting the execution sequence and the concurrency of each tool in the tool chain according to the optimized data circulation scheme.

The invention relates to the field of pressurization and yield increase in natural gas extraction, in particular to a novel oblique flow type natural gas downhole compressor which comprises a multi-stage series structure and a plurality of connected single-stage compression modules, and each single-stage compression module comprises a diffusion pipeline and a rectification pipeline which are connected and coaxially arranged to form an axial advancing route of gas. Gas axially enters and is axially discharged; the air suction mechanism is arranged in the diffusion pipeline and used for sucking external air so that the external air can flow along the axial advancing route to do work and be pressurized; the same single-stage compression modules are connected in series in a multi-stage mode, the design difficulty is effectively reduced, meanwhile, the high pressure ratio can be achieved by adjusting the number of the compression modules, the high pressure ratio is achieved in the limited underground space, meanwhile, the compressor has the high reliability and the wide stable working margin, and the application range of the compressor is widened. And safe and reliable operation of the compressor under different working conditions is guaranteed.

The invention discloses a bifunctional CoCu catalyst, a preparation method thereof and application of the bifunctional CoCu catalyst in sulfur and ammonia production. A Cu-doped CoOOH bifunctional electrocatalyst is synthesized on foam cobalt (CF) through an in-situ growth method and is used for a cathode NO3RR and an anode SOR at the same time. In a sulfur oxidation reaction, the cobalt-based catalyst can effectively oxidize sulfur or a compound thereof into a substance with a higher valence state, such as sulfate, so that removal and conversion of sulfur are realized. In addition, due to low cost and environmental friendliness of the catalyst, the catalyst has great application potential in the aspect of electrochemical coupling treatment of sulfur and nitrate pollutants. Therefore, the invention designs a bifunctional electrocatalyst capable of simultaneously exerting the advantages of Cu-based and cobalt-based catalysts, and is expected to realize efficient electrochemical coupling treatment of sulfur and nitrate.

A novel knowledge distillation method from binocular parallax to monocular depth comprises the following steps: S1, training a parallax depth conversion module: inputting first training data into a pre-trained binocular stereo parallax teacher model to obtain a parallax map; the first training data comprises a left eye color image and a right eye color image; inputting the disparity map and the original disparity reference map into a disparity depth conversion module to obtain a pseudo label depth map; calculating a loss function according to the pseudo-label depth map, and updating parameters of a parallax depth conversion module; s2, mixing the pseudo-label depth map output by the parallax depth conversion module with the original true label depth map to obtain a mixed label depth map; s3, training a monocular depth estimation student model: training the monocular depth estimation student model through the second training data; the second training data comprises a mixed label depth map and a corresponding original reference map, and the method can achieve the training on a data set with a lower data size, and improves the global precision.

The embodiment of the invention provides a model conversion method, a related device and a medium. According to the method, a model conversion mirror image is deployed to a node where a target chip is located, and an original model is converted into a target model corresponding to the target chip through the model conversion mirror image. And then the original model before conversion and the target model after conversion are verified through the original model verification mirror image and the target model verification mirror image respectively, a conversion deviation value capable of judging the model conversion effect is obtained according to the first verification result and the second verification result, and automatic verification of the target model after conversion is achieved. And based on the verification result (conversion deviation value), constructing a mirror image for the target model meeting the requirement, and storing the mirror image in a mirror image warehouse for subsequent calling. The embodiment of the invention aims to ensure the availability of the converted model. The embodiment of the invention can be applied to scenes of computer vision, natural language processing, voice recognition, automatic driving, edge calculation and the like.

The invention discloses a safety alarm false alarm identification method based on deep learning and text analysis. The method comprises the following steps: 1) a data acquisition and processing stage; 2) detecting a network attack event by using a recurrent neural network (RNN) through extracting multi-dimensional features of a log; 3) detecting the false alarm of the network security event based on the text analysis of Word2Vec and Transformer; according to the method, through feature extraction and RNN model design, especially by adopting an LSTM unit to process time dependence, the identification capability of the model on the security event is improved, the method does not depend on traditional signature-based detection, and the dependence on misinformation is reduced; according to the method, the semantic information in the alarm content is deeply mined in combination with a text analysis technology based on Word2Vec and Transform, the accuracy of false alarm recognition is remarkably improved, an abnormal result is fed back to operation and maintenance personnel, and a more efficient and accurate network security protection solution is provided.

The invention discloses an information object unified interaction system and method oriented to virtual power plant cloud edge collaboration, and belongs to the technical field of power system dispatching control. The system comprises an identifier mapper used for recording a mapping relation between an original identifier and a unified identifier in the heterogeneous service system according to a unified identifier rule; the identifier generator is used for querying the mapping relation recorded by the identifier mapper and generating a unique information object identifier according to a unified identifier rule; when the information object is transmitted from one service system to another service system, analyzing and converting the identifier: analyzing an original identifier into a corresponding uniform identifier by adopting an original identifier mapping conversion mode, or converting the uniform identifier into the original identifier by reversely querying auxiliary information of an identifier generator. The problem that in the prior art, information objects are difficult to recognize and track during cross-system interaction is solved.

The invention discloses a digital twinborn deployment method based on multi-target deep reinforcement learning, and the method comprises the steps: carrying out the analysis of a digital twinborn edge network, constructing the state, action and reward functions of a multi-target deep reinforcement learning model, introducing a connection relation between a user and an intelligent reflection surface in the state, and obtaining a multi-target deep reinforcement learning model; a penalty function of a constraint term is introduced into a reward function, then a multi-target deep reinforcement learning model is set and trained, state information of a current digital twin edge network is acquired in real time, and target edge servers deployed by each digital twin are determined by adopting the trained multi-target deep reinforcement learning model. According to the method, a plurality of optimization objectives are set, the deployment strategy of the digital twin is determined by adopting multi-objective deep reinforcement learning, and the rationality and the working performance of the digital twin edge network are improved.

The invention discloses a cooperative control method for an airship array high-altitude wind power integrated power generation system for seawater hydrogen production. The cooperative control method comprises the following steps: 1) constructing each single energy system physical model; 2) integrating the single energy system models into a hybrid energy system model; the hybrid energy system model comprises a load model and a contact power deviation dynamic physical model between energy systems, and is used for describing the overall operation condition and the energy distribution condition of the hybrid energy system; 3) based on the hybrid energy system model, designing a tie line power and frequency deviation control model for detecting the frequency deviation and tie line power deviation of the hybrid energy system; and 4) according to the frequency deviation of the hybrid energy system and the tie line power deviation, adjusting a pre-formulated multi-energy power generation system complementary and cooperative control strategy, and solving an optimal output plan of each energy system so as to maximize the new energy consumption rate and improve the seawater electrolysis hydrogen production efficiency. According to the invention, the energy supply stability and reliability can be improved.

The invention discloses a spatial data format conversion method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining and analyzing to-be-converted spatial data, and determining geometric type information and dimension information of the to-be-converted spatial data; determining target type information according to the geometric type information; and performing format conversion on the to-be-converted spatial data according to the target type information and the dimension information to form target spatial data, thereby solving the problem of relatively low spatial data format conversion efficiency, determining the geometric type information and the dimension information of the to-be-converted spatial data by analyzing the to-be-converted spatial data, determining the target type information, and performing format conversion on the to-be-converted spatial data. Different types of to-be-converted spatial data are converted in different modes, format conversion is directly performed on the to-be-converted spatial data based on the target type information and the dimension information to obtain the target spatial data, conversion into an intermediate structure body is not needed, the conversion efficiency is improved, the spatial data conversion complexity is reduced, and the user experience is improved. And data conversion can be directly realized.

The invention discloses a magnetotelluric signal denoising method and system based on self-supervised comparative learning, and the method comprises the steps: constructing a noisy signal sample, obtaining a noise contour sample and / or a pure signal sample of the noisy signal sample, and training a pre-training denoising model based on a comparative learning framework through the noisy signal sample; a small part of data with labels is taken and sent to the trained pre-training model, values of all layers in the learning framework are fixed and compared, only a regression layer is finely adjusted, and a trained signal-to-noise mapping model is obtained; and finally, inputting the to-be-denoised signal into the signal-to-noise mapping model to obtain a denoised magnetotelluric signal. According to the method, a self-supervised contrast learning framework is introduced into a magnetotelluric signal noise reduction technology, data augmentation is realized through a time domain augmentation mode and a frequency domain augmentation mode, strong interference in the magnetotelluric signals is effectively removed, slow change information of a low-frequency band of the signals is reserved, and a good noise reduction effect is achieved.

The invention relates to the technical field of geographic knowledge, in particular to a geographic spatial data knowledge graph construction method and system based on geographic element classification. Performing fine-grained hierarchical division on the first-level classifications of the geographic elements according to geographic positions and spatial distribution in the first-level classifications of the geographic elements to obtain sub-classifications of the geographic elements in the first-level classifications of the geographic elements; constructing a geographic element knowledge ontology library according to each geographic element subclass; extracting thematic geographic entities, thematic geographic entity relationships and thematic geographic entity attributes based on the geographic element knowledge ontology library, constructing a thematic geographic space knowledge triple, and storing the thematic geographic space knowledge triple into a Neo4j graph database to form a thematic geographic element data knowledge graph, the geographic space data can be retrieved and queried by utilizing the knowledge graph. According to the method, geographic space knowledge can be fully utilized to realize conversion from geographic space data to knowledge data, and dynamic retrieval and query of geographic space objects are realized.

The invention belongs to the field of protein rational design and enzyme engineering, and particularly relates to a 7beta hydroxysteroid dehydrogenase mutant and application thereof in preparation of UDCA. Firstly, ruminococcus torquens 7beta-hydroxysteroid dehydrogenase is used as a template, hydrogen bonds are increased through homologous modeling prediction, a mutant 7beta-HSDH-3M is obtained through site-specific mutagenesis, the 50-DEG C thermal stability of the obtained 7beta-hydroxysteroid dehydrogenase is remarkably improved, the 7beta-hydroxysteroid dehydrogenase is used for catalyzing 80g / L L7-KLCA to generate UDCA, the conversion rate exceeds 99%, and the 7beta-hydroxysteroid dehydrogenase can be used for preparing a mutant 7beta-HSDH-3M mutant 7beta-HSDH-3M mutant 7beta-HSDH-3M mutant 7beta-HSDH-3M mutant 7beta-HSDH-3M. Complete conversion (greater than 99%) of a product substrate is realized through high conversion rate of 7beta-HSDH.

The invention relates to a deformable wheel-track combined type advancing mechanism which comprises a driving main shaft, a hub and a track arranged on the outer side of the hub, the driving main shaft is provided with a power switching driving part, and the power switching driving part drives the track to rotate through a track transmission assembly; the power switching driving piece can move leftwards along the driving main shaft, so that the power switching driving piece is separated from the crawler belt transmission assembly; crawler belt supporting pieces are arranged on the peripheral side of the hub and are driven by a deformation mechanism to stretch and deform in the radial direction of the hub, so that the crawler belt is supported to be in a circular state or a non-circular state; the hub is provided with a driven rotary meshing part, a driving rotary meshing part is arranged at the right end of the power switching driving part, and the power switching driving part drives the hub to rotate when moving leftwards till the driving rotary meshing part is meshed with the driven rotary meshing part. Free switching between a wheel type structure and a crawler type structure is achieved, the flexibility of the wheel type structure is included, the high trafficability of the crawler type structure is achieved, and the performance is stable when the robot deals with various road conditions.

The invention relates to the technical field of street lamps, in particular to a solar intelligent street lamp which comprises a lamp pole, a lamp holder fixedly connected to the upper portion of the outer surface of the lamp pole, an LED lamp set fixedly connected to the end of the lamp holder, a mounting frame arranged at the top end of the lamp pole, a solar panel arranged on the upper portion of the mounting frame, and an ablation assembly arranged in the middle of the mounting frame. A driving assembly is arranged on the outer surface of the lamp holder, and a conversion assembly is arranged in the lamp holder. Compared with the prior art, the melting assembly is arranged at the connecting position of the solar panel, the rotating disc and the push rod are driven by the motor to do circular motion, then the frame-shaped plate and a connecting structure of the frame-shaped plate are driven to do linear reciprocating motion, and accumulated snow can be cleaned in the moving process of the cleaning plate; the inside and the outside of the friction cylinder are in friction with the friction rod and the arc-shaped plate respectively, heat generated by friction can be transmitted to the surface of the solar panel, a thin ice layer formed on the surface of the solar panel is melted, and the melting speed of thin ice on the surface of the solar panel is increased.

The embodiment of the invention provides a cascade heating superheated steam generation system and a control method thereof, and belongs to the technical field of energy engineering and thermal power. The system comprises: an evaporation device provided with a plurality of heat exchangers, wherein the evaporation device is used for treating preheated produced water into wet saturated steam; wherein the series-parallel connection relation between the heat exchangers in the evaporation device is adjusted based on real-time heat supply demand information; the steam conversion device is used for converting the wet saturated steam into superheated steam for steam injection; the control device is used for determining the serial numbers of the heat exchangers participating in heat exchange and the series-parallel connection relation of the heat exchangers participating in heat exchange based on the real-time heat supply demand information; the fused salt conveying device sequentially passes through the steam conversion device and the evaporation device and is used for providing a heat source for the steam conversion device and the evaporation device. According to the scheme, the method adapts to complex heat supply demand scenes, and therefore an efficient, flexible and intelligent solution is provided for thick oil steam injection.

The invention belongs to the technical field of electrolyzed water catalysts, and discloses a bifunctional heterojunction catalyst, a preparation method and application of the bifunctional heterojunction catalyst in electrolyzed water, the catalyst is characterized in that NiMoO4 nanosheets which grow on a foamed nickel conductive substrate in situ and have a clear heterogeneous interface structure coat Co3O4 nanowires to form a Co3O4 nanowire-coated NiMoO4 nanosheet array which is recorded as NiMoO4-coated Co3O4 / NF catalyst, and the NiMoO4-coated Co3O4 / NF catalyst is used for preparing the catalyst. The overall appearance of the catalyst is in the shape of a porous and wrinkled paper embroidered ball, and the heterogeneous interface structure of the catalyst enables the catalyst to have excellent OER / HER bifunctional catalytic activity under the alkaline condition. Through cooperation of a heterogeneous interface and a three-dimensional porous structure, the efficient hydrogen evolution and oxygen evolution activity is achieved in the water electrolysis process; the assembled full-battery electrolyzed water system can be subjected to overall water decomposition under low voltage, the performance is almost not attenuated under long-time operation, conversion and utilization of resources and energy are achieved, and the application prospect is wide.

The utility model discloses a skin protecting and supporting device of a traditional Chinese medicine external treatment box, which comprises a connecting containing cylinder which is of an integral structure and is made of elastic materials, and an external expansion cover positioned at the lower end of the connecting containing cylinder. An upper protruding ring, an annular groove, an annular side wall and a moxibustion therapy box supporting ring are sequentially machined on the inner wall of the connecting containing cylinder from top to bottom. The inner diameter of the upper protruding ring is smaller than that of the annular side wall, the inner diameter of the annular side wall is smaller than that of the annular groove, and the inner diameter of the treatment box supporting ring is smaller than that of the annular side wall. The outer edge of the outer expansion cover is located on the outer side of the outer wall of the connecting containing cylinder and is lower than the inner edge. By means of the device, the traditional Chinese medicine external treatment medicine cake box is fixed to the lower side of the cylinder bottom plate, the device has the advantage of being convenient to disassemble and assemble, and electromagnetic interference cannot be generated on a storage communication element; a skin protecting and supporting device is additionally arranged between the moxibustion fumigation traditional Chinese medicine external treatment device and the skin at the body acupoints, and conversion of moxibustion therapy modes can be achieved.

The invention provides a non-contact distance measuring system and method. The non-contact distance measuring system comprises a first sensor, a second sensor and a converter, the converter comprises a sensor excitation unit, a sensor signal acquisition unit and a control unit; according to the environment temperature, the temperature compensation coefficient corresponding to the environment temperature is determined; compensating a voltage signal acquired by a sensor signal acquisition unit according to the temperature compensation coefficient; and obtaining the distance between the first sensor coil and the surface of the measured target object according to the compensated voltage signal. According to the invention, the environment temperature is measured through the second sensor, and the influence of the temperature on the measurement precision is reduced according to the voltage signal acquired by the temperature compensation sensor signal acquisition unit. According to the invention, the conversion of the eddy current signal can be realized, and the separation state of the detected target object is judged.

The utility model provides a commutation stator module and a magnetic drive conveying system. The commutation stator module comprises a pedestal; the stator body is fixed on the base; the commutation armature winding is arranged on the stator body, and the commutation armature winding comprises a first commutation winding extending along a first direction and a second commutation winding extending along a second direction; the limiting assembly is arranged on the base, the limiting assembly comprises a limiting piece and a driving piece, the driving piece drives the limiting piece to ascend and descend, so that the limiting piece is switched between a receding position and a guiding position, the rotor module enters and exits when the limiting piece is located at the receding position, and the rotor module enters and exits when the limiting piece is located at the guiding position. When the limiting piece is located at the guiding position, the rotor module is limited and guided; a receding space is formed between the stator body and the base, and the driving parts are arranged in the receding space. In this way, the conveying direction can be changed without occupying extra space, and the conveying efficiency is high.

The invention discloses a level shift circuit with a mixed structure, relates to the technical field of integrated circuits, and aims to solve the problems of long time delay and high power consumption of a level shift circuit in the prior art when the level shift circuit is converted between a low voltage domain and a high voltage domain. The circuit at least comprises a first current mirror level shift sub-circuit and a second current mirror level shift sub-circuit which are connected with a cross-coupling level shift sub-circuit; an output signal of the first current mirror level shift sub-circuit is used for reducing the pull-up strength of a first pull-up network in the cross-coupling level shift sub-circuit; the output signal of the second current mirror level shift sub-circuit is used for reducing the pull-up strength of a second pull-up network in the cross coupling level shift sub-circuit; the cross coupling level shift sub-circuit is used for cutting off quiescent current paths in the first current mirror level shift sub-circuit and the second current mirror level shift sub-circuit and realizing conversion between a low voltage domain and a high voltage domain of the circuit; therefore, level conversion between a low-voltage domain and a high-voltage domain is realized by picosecond-level delay and nanoampere-level static power consumption.

The utility model discloses a meniscus stitching instrument, and relates to the technical field of medical instruments, the meniscus stitching instrument comprises a shell, an operating handle, a plurality of delivery assemblies and a plurality of push rod assemblies, the plurality of delivery assemblies extend from the inside of the shell to the outside of the shell, and each delivery assembly is used for delivering a group of fixtures to a stitching position; the multiple push rod assemblies are arranged in the shell, connected with the multiple delivery assemblies in a one-to-one correspondence mode and used for driving the delivery assemblies to push the fixed object; the operating handle abuts against the push rod assemblies and is used for driving each push rod assembly to move. The reset piece is connected with the push rod assembly and used for achieving reset of the push rod assembly. The device has the effect of improving the operation efficiency for the meniscus repair operation needing to be sutured for multiple times.