31results about How to "Reduce application difficulty" patented technology

The invention belongs to the technical field of geological disasters, and discloses an urban slope stability characteristic analysis method and system based on a block gliding risk, and the method comprises the steps: calculating the stability characteristic of each station based on a plane gliding method through measuring the slope size, soil and vegetation characteristics and other data; the relationship between the stability coefficient and each sensitive factor is analyzed, and the research result shows that the slope stability coefficient of each sampling point is basically more than 1.0, and the landslide risk is extremely low; the soil cohesive force has the greatest contribution in maintaining the stability of the slope and is most sensitive to the stability coefficient of the slope; the soil water content can reduce the slope stability coefficient from the aspects of increasing the self weight of the soil body, reducing the soil cohesive force and the like; the soil root system density can improve the overall stability of the slope from the aspects of enhancing the shear strength of soil, reducing soil erosion and the like. Soil is reinforced through vegetation concrete and other technologies, meanwhile, the slope vegetation coverage rate is increased, and regular monitoring of the midsole risky slope state is a good method for reducing the landslide risk of the midsole risky slope.

The invention relates to an environment law and regulation case auxiliary analysis system based on a large language model, and the system employs the large language model to carry out the case induction of a historical environment law violation judgment book, forms a case database, and supports the matching retrieval. The method comprises the following steps of: studying and judging an environment illegal scene by utilizing a large language model in combination with legal provisions to form a case summary description so as to retrieve historical cases; and on the basis of a big language model, integrating current case summary and historical judgment conditions, forming prediction analysis on illegal facts, judgment basis and punishment contents of the scene of the user, and assisting a production enterprise or an environment law enforcement officer to judge illegal consequences and punishment strength of a specific scene. Therefore, the method does not need professional personnel to carry out case teasing or data collection, the input requirement is low, the application difficulty is small, the output analysis result basis is more transparent, and the staff can conveniently check.

The invention belongs to the technical field of automatic detection, and discloses a user-defined photovoltaic panel defect detection method and device based on self-cleaning equipment, and the method comprises the steps: deploying an automatic defect detection device on photovoltaic panel self-cleaning equipment; acquiring a defect detection data set by utilizing an automatic defect detection device; training a defect detection model based on the defect detection data set; and carrying out photovoltaic panel defect identification by using the defect detection model. According to the invention, the automatic defect detection device is deployed on the photovoltaic panel self-cleaning equipment, the flexibility of user customization is improved to the maximum extent, and close-range image acquisition and high-precision defect detection of the photovoltaic panel are realized by using the cleaning process of the self-cleaning equipment.

The invention discloses a vector database composite retrieval method, which comprises the following steps of S1, vector database index entry construction: generating an initial index entry according to a data form of submitted original data and an index entry type; performing multiple processing on the source matching key of the index entry to generate a new matching key; and S2, vector database index entry retrieval: sorting the previous information, and searching and returning a mapping value corresponding to the matching key from a preset retrieval entry of the vector database according to the previous information. The method has the advantages that the data retrieval precision and coverage can be improved, more effective prompt content is provided for the large language model, and the application difficulty of the large language model is reduced.

The invention provides a transistor and a preparation method thereof, and belongs to the field of power electronics. The transistor comprises an epitaxial wafer, a source electrode, a drain electrode and a gate electrode, the epitaxial wafer comprises a channel layer and a barrier layer, and the epitaxial wafer is provided with an active region and an ineffective region; the drain electrode is located on the surface, away from the channel layer, of the barrier layer, is located in the active region and is electrically connected with the channel layer through the first through hole; the source electrode and the gate electrode are both located on the surface, away from the channel layer, of the barrier layer, the source electrode of the first part is electrically connected with the channel layer through the second through hole, and the source electrode of the second part extends to the side, away from the barrier layer, of the channel layer through the first via hole; the gate electrode of the first part is connected with the barrier layer, and the gate electrode of the second part extends to the side, away from the barrier layer, of the channel layer through the second via hole. According to the embodiment of the invention, the applicability of the transistor is improved.

The present application relates to the technical field of underground structure anti-floating engineering, and aims to provide a prestressed anchor rod arrangement method, device and medium based on virtual stiffness iteration. The present application can simplify the coupling calculation between prestress application and real stiffness of the anchor rod, and through iterative optimization on the virtual stiffness of the prestressed anchor rod and arrangement nodes, the reasonable arrangement of the prestressed anchor rod is realized on the basis of meeting the deformation coordination and vertical stress requirements of the upper structure, and the safety and economy of the anti-floating design of the underground structure are improved.

The invention relates to the technical field of medical instruments, in particular to a pelvic sacral nerve magnetic stimulation device which comprises a magnetic stimulation coil assembly suitable for generating a stimulation magnetic field after being electrified, and the magnetic stimulation coil assembly is electrically connected with a host; and the body surface electric signal receiving piece is electrically connected with the host and is suitable for being positioned on the perianal skin to receive the skin electromyographic signals. When the transpelvic sacral nerve magnetic stimulation equipment is used, the body surface electric signal receiving sheet is pasted on the perianal skin to receive the skin electromyographic signals. The stimulation position of the magnetic stimulation coil assembly is adjusted according to the skin electromyographic signals. When the sacral nerve magnetic stimulation device is used, the device does not need to be implanted, the application difficulty and the use risk of the sacral nerve magnetic stimulation device are greatly reduced, and a user can carry out sacral nerve magnetic stimulation by using the pelvic sacral nerve magnetic stimulation device at home by himself / herself.

The invention discloses an offshore wind power peak regulation system meeting peak load based on methanol synthesis, and relates to the technical field of energy, the offshore wind power peak regulation system comprises an offshore synthesis platform, the offshore synthesis platform comprises an automatic power generation frequency modulation device, a PEMFC hydrogen production system, a DMFC power supply system, a methanol synthesis system and a computer control system, the computer control system is used for being connected with and controlling the automatic power generation frequency modulation device, the PEMFC hydrogen production system, the DMFC power supply system and the methanol synthesis system, the automatic power generation frequency modulation device is used for scheduling the output direction of current, and the methanol synthesis system and the PEMFC hydrogen production system are used for controlling conversion between electric energy and methanol. And the DMFC power supply system is used for transmitting electric energy generated by methanol combustion to a power grid through the automatic power generation frequency modulation device. The impact on a power grid caused by unstable power generation of the offshore wind plant can be avoided, meanwhile, the base load with the low economic value is converted into methanol with the high economic value, and the income of the offshore wind plant is increased.

The invention discloses an offshore wind power valve hall air gap determination method and system based on a critical electric field, and relates to the technical field of gap discharge process analog simulation. Comprising the following steps: step a, acquiring initial clearance distances among equipment in a valve hall; b, obtaining the critical electric field intensity of air gap breakdown in the valve hall; c, electric field distribution conditions of all positions of the valve hall are obtained; d, determining a critical electric field intensity reference value for correcting the initial gap distance in the step a; and e, determining a critical electric field intensity judgment interval, and judging whether the electric field intensity under the current equipment clearance distance in the valve hall meets the electric field intensity judgment interval or not. According to the method and system for determining the air gap of the offshore wind power valve hall based on the critical electric field, the gap distance obtained through a traditional means is corrected through the critical electric field, the result is more accurate, the design size and weight of the valve hall are further reduced, higher universality is achieved, and miniaturization and light weight of the design of the valve hall are promoted.

The invention provides sintered ore with a coating structure and a preparation method and system.The preparation method comprises the steps that lump ore is subjected to high-temperature preheating treatment and then crushed and screened, and lump ore particles are obtained; uniformly mixing an iron-containing raw material, a CaO-containing flux, a fuel and water to obtain an outer-layer mixed material; after the lump ore particles are put into a disc pelletizer, atomized water is sprayed to the surfaces of the lump ore particles; caO is sprayed to the surfaces of lump ore particles; the outer-layer mixed material is added into a disc pelletizer, atomized water is continuously sprayed for pelletizing, screening is conducted after pelletizing is finished, and a green pellet mixed material is obtained; conveying the green pellet mixture to a sintering machine, igniting the green pellet mixture, and sintering the green pellet mixture under the condition of injecting hydrogen-rich gas to obtain high-temperature sintered ore; and hydrogen is adopted as a cooling agent to cool the high-temperature sintered ore, and pre-reduction of the high-temperature sintered ore is achieved in the cooling process. The sintered ore has high strength and air permeability, the utilization ratio of lump ore is increased, lump ore fragmentation is avoided, and therefore the metallurgical performance of the lump ore is improved.

The invention relates to a sea area image data set intelligent processing system based on CNN identification, and provides a scheme for deploying a sea area image processing task on a sea application system, and a sea area image CNN identification model constructed based on CNN training is deployed in a sea area base station system of a sea area image acquisition device. Therefore, the sea area image collected by the device is subjected to image recognition processing in advance, the sea area image meeting the requirement of the ashore server is found out and then uploaded for application, the uploading difficulty and cost of the sea area image set are reduced, and the consumption of network resources is reduced. Besides, the processing and application difficulty of the shore server on the sea image can be reduced, the shore server can obtain the sea area image with the image quality meeting the requirement, and the sea area image is further used for sea area research, so that the image processing pressure of a shore service area is reduced, shore computing resources are saved, and the process and efficiency of the shore server on the sea area research are improved.

The invention belongs to the technical field of underwater detection, and discloses an underwater vehicle metal detection device based on a multiplexing wireless charging receiving coil, and the device is characterized in that a current detection module detects the output current of an energy storage device in real time; the alternating current-direct current converter converts direct current provided by the energy storage device into high-frequency alternating current; the receiving side resonance network is used for eliminating reactive power loss caused by independently using the wireless charging receiving coil and driving the wireless charging receiving coil to radiate a high-strength alternating magnetic field to surrounding seawater; when a metal object appears in the detection range, the wireless charging receiving coil is also used for sensing a reverse magnetic field generated by the metal object and generating a reverse induction current; and the current detection module judges the metal target in the detection range by detecting the rising condition of the discharge current of the energy storage device at the moment. The existing wireless charging receiving coil is directly reused, special hardware does not need to be additionally arranged, the structure is simple, and the universality is high.

The present invention discloses a weakly supervised natural image matting method based on block clustering. Specifically, the user first uses data containing real transparency mask annotations to train the teacher network; secondly, the transparency mask similarity metric is used to train the block clustering module; then, the trained block clustering module is used to cluster the data containing real transparency mask annotations and optimize the clustering results; finally, all the data are used to supervise the student network using traditional image matting loss and clustering prior loss function respectively. When in use, the user inputs the image to be matted and its corresponding ternary map into the student network to obtain the final matting result. For the first time, the present invention improves the matting effect by using data without real transparency mask annotations under the premise of only a small amount of real transparency mask annotations, which can overcome the problem that the previous method requires a large amount of labeled training data.

The invention belongs to the technical field of water conservancy and hydropower devices, and particularly relates to an earth and rockfill dam material compaction quality real-time monitoring control device. Comprising a mainboard, a driving mechanism, a monitoring module and a control module, the driving mechanism comprises a driving motor, a roller assembly and a rear wheel assembly, the driving motor is arranged on the main board, and the output end of the motor drives the roller assembly and the rear wheel assembly; and the controller is arranged on the main board, comprises a monitoring module and a control module, and is used for monitoring and controlling the driving mechanism. The earth and rockfill dam material compaction quality real-time monitoring and controlling device has the characteristics of real-time monitoring and feedback, intelligent excitation force control, self-adaptive adjustment, high efficiency, convenience and the like, and provides powerful technical support for earth and rockfill dam material compaction quality monitoring in water conservancy and hydropower engineering construction.

The invention relates to the technical field of turning-over assisting, and discloses a turning-over assisting device for old people, which comprises a bottom plate, a lifting mechanism and a turning-over mechanism, the lifting mechanism comprises guide columns arranged at the two ends of the bottom plate, the middles of the guide columns are slidably connected with the ends of a lifting seat, a lifting lead screw is rotationally connected to the middle of the bottom plate, and the middle of the lifting lead screw is in threaded connection with the middle of the lifting seat; the turnover mechanism comprises an extending beam arranged on the side face of the lifting base, the end of the extending beam is fixedly connected with an extending plate, and the end of the extending plate is rotationally connected with a turnover plate. According to the turning-over assisting device suitable for the old people, the turning-over plate is directly inserted into the upper portion of the bed surface, so that the turning-over assisting device can be used on a common sickbed, and the application difficulty of the turning-over assisting device is reduced.

The application discloses a coating device, which comprises a wet tissue, a coating mechanism and a light-shielding package body, the wet tissue is adsorbed with a coating liquid, the light-shielding package body is used for containing the wet tissue, and the coating mechanism comprises a first area used for fixing the wet tissue, and the coating mechanism is configured to facilitate the wet tissue fixed on the first area of the coating mechanism to be in contact with a printing substrate, so that the surface of the printing substrate is attached with the coating liquid. The coating device of the application simplifies the coating liquid coating process and reduces the coating difficulty.

The present invention provides a method for event data reconstruction and quality assessment based on superpixels, comprising the following steps: S1. Acquiring event data stream; S2. Constructing superpixels; S3. Single superpixel assessment; S4. Superpixel candidates; S5. Superpixel fusion; S6. Superpixel image stitching; S7. Image candidates; S8. Superpixel image whole picture assessment; and S9. Outputting assessment results. The method of the present invention mainly utilizes the characteristics of superpixels and event cameras to reconstruct and assess event data, so that the reconstructed event data can be well applied and assessed, reducing the application difficulty, solving the problems of the original data of the event camera being difficult to process and assess, improving the efficiency of event data use, and improving the ease of use and versatility of event data.

A plunger type gate device comprises a plunger and a crown part, the plunger extends into the section of a water passing hole, the plunger comprises a gate leaf, the gate leaf is composed of a plunger supporting beam, an upstream face steel plate and a water stop ring, the water stop ring is formed by arranging H-shaped steel or channel steel towards the hole wall to form a circle of groove, U-shaped rubber is inversely buckled in the groove, and a hollow rubber bag is installed in the groove. A plunger supporting beam is arranged in the water stop ring, and an upstream face steel plate is welded to the front side of the water stop ring; the crown is arranged outside the hole, the upward end of a crown supporting beam of the crown is hinged to a base through a connecting rod, the base is embedded in the outer wall of the hole, the top point of a herringbone beam faces outwards and is fixed to the crown supporting beam, the top point of the herringbone beam is connected with the crown supporting beam through a pull rod, and the crown supporting beam is connected with a plunger through a pull rod. The device is simple in civil engineering work, the precision requirement for gate manufacturing and mounting can be lowered, the load and scale of supporting walking components and opening and closing facilities are reduced, and the construction, operation and maintenance cost of the gate is remarkably reduced.

The invention discloses a quasi-monoenergy proton beam generation method based on a picosecond laser driven CH target, which comprises the following steps of: driving long-pulse linear polarization Gaussian laser into a plasma CH target with density gradient transformation, so that the linear polarization Gaussian laser continuously interacts with the plasma CH target, the current formed by the accelerated electrons and the electron backflow jointly form a long-time annular magnetic field; the electric field generated by the annular magnetic field accelerates various particles to different degrees, and the protons are located in the negative gradient of the accelerating electric field while the particles are separated, so that the protons are accumulated in the phase space, and a quasi-monoenergetic proton beam is obtained. The device is applied to the field of particle acceleration, the quasi-monoenergy proton beam with high energy and low energy dispersion can be generated, the requirement for laser intensity is not high, certain robustness is achieved, meanwhile, the energy of the obtained proton beam is high, the monoenergy performance is good, and the energy dispersion can be as low as 3.1%.

The invention relates to a motion control device, a control method and a control system for a wire-controlled snake bone assembly, the motion control device is used for controlling the wire-controlled snake bone assembly to swing, the motion control device comprises a driving mechanism, the driving mechanism is connected with the wire-controlled snake bone assembly and comprises a driving assembly and a first sensor, a driving wire in the wire-controlled snake bone assembly is connected with the driving assembly, and the first sensor is connected with the driving assembly; the driving assembly is used for controlling folding and unfolding, the wire-controlled snake bone assembly is driven to swing, and the first sensor is used for detecting the posture change of the driving assembly; the input mechanism serves as an interface for externally controlling the driving assembly and comprises an operation assembly and a second sensor, the operation assembly is electrically connected with the driving assembly, the operation assembly sends a driving signal to the driving assembly, and the second sensor detects the posture change of the operation assembly. According to the invention, an active driving structure is used for compensating a nonlinear region when the wire-controlled snake bone assembly moves, so that a better driving effect can be achieved, and the complexity of the driving structure is reduced.

The present invention discloses an engine intelligent control system based on multi-terminal deep learning, which belongs to the field of engine control technology and solves the technical problem that a car cannot improve driving performance and save fuel under different terrain conditions. The system includes an engine controller, an engine, a mode control unit, an on-board computer, a cloud data processing center, a TPMS sensor, a power tuning gyroscope, a GPS module, and multiple depth cameras; the on-board computer obtains data from the TPMS sensor, the power tuning gyroscope, the GPS module, and the depth camera, and wirelessly sends the data to the cloud data processing center; the gradient strategy of the cloud data processing center classifies the current road condition and sends it to the on-board computer; the on-board computer estimates the target power and target gear required for the next moment of the current road condition, the mode control unit calculates the target fuel injection amount according to the target power, and the engine controller controls the engine operation according to the target fuel injection amount.

The application provides a cyano-containing phosphite salt additive, characterized in that the additive has a structure as shown in formula (I) and / or formula (II). The cyano-containing phosphite salt additive with a specific structure and composition designed by the application is used as a lithium ion battery lithium supplement agent, is used for supplementing active lithium lost in the first cycle of lithium ion battery self-sacrifice charging and discharging, improves the first cycle coulomb efficiency, and after the end of delithiation, the phosphorous acid and -CN functional groups of the cyano-containing phosphite salt additive are dissolved in electrolyte, participate in the formation of an SEI film, inhibit the decomposition of electrolyte, and improve the high-temperature cycle performance of the battery. In addition, the phosphite salt organic lithium supplement agent has high water oxygen stability, and solves the problem of harsh use and storage conditions of traditional positive electrode lithium supplement agents.

The present invention belongs to the technical field of structured light three-dimensional measurement, and specifically is a single-frame three-dimensional measurement method based on structured light and deep learning. The present invention performs fringe image analysis through a deep neural network obtained by unsupervised learning pre-training and supervised learning fine-tuning to achieve three-dimensional measurement; wherein: the unsupervised learning pre-training uses a single-frame fringe image collected by a structured light system as input, and the supervised learning uses the collected four-frequency 12-step phase-shifted fringe images as input, and the deep neural network used is composed of 3 U-Net modules, which are respectively used for phase calculation, unwrapping and tuning. The present invention completes single-frame three-dimensional measurement through a deep neural network, can be used to measure dynamic scenes, and has high measurement accuracy; the combination of unsupervised and supervised learning reduces the number of collected fringe images and improves the training efficiency of the deep learning method.

The invention provides a building construction year remote sensing inversion method based on a medium and low resolution satellite image, which is used for configuring a building construction year remote sensing inversion model by using the medium and low resolution satellite image based on satellite remote sensing, so that a satellite remote sensing technology and a deep learning technology are combined, and the building construction year remote sensing inversion model is constructed. According to the method, efficient, complete and accurate built-up year inversion of the building is realized, the application difficulty of built-up year inversion is reduced, and the adverse effects of limitations such as insufficient historical data, incomplete years and unpublished data on the use requirements of built-up year data can be solved; powerful data support can be provided for urban energy modeling, building safety evaluation, urban sustainable development planning, social ecology and the like.

The invention provides a pellet with a coating structure and a preparation method and system.The preparation method comprises the steps that lump ore is subjected to high-temperature preheating treatment and then crushed and screened, and lump ore particles are obtained; uniformly mixing the iron ore concentrate powder, bentonite, CaO and water to obtain an outer-layer mixed material; after lump ore particles are put into a disc pelletizer, atomized water is sprayed to the surfaces of the lump ore particles till the surfaces of the lump ore particles are wet; caO is sprayed to the surfaces of lump ore particles; adding the outer-layer mixed material into a disc pelletizer, continuously spraying atomized water for pelletizing, and then screening to obtain green pellets; sequentially drying, preheating and roasting the green pellets to obtain high-temperature pellets, and cooling and pre-reducing the high-temperature pellets by adopting hydrogen as a cooling agent to obtain pellets with a coating structure. The pellet has high strength and air permeability, the utilization ratio of lump ore is increased, lump ore fragmentation is avoided, and therefore the metallurgical performance of the lump ore is improved.

The invention relates to a probe motion control method and device, a medical scanning system and a storage medium, and the method comprises the steps: planning the distribution position of each path point in an initial motion path of a probe according to the posture information of a detection object and a preset scanning range; based on a preset scanning parameter, determining a path optimization target corresponding to the scanning parameter; according to the path optimization target, adjusting path parameters of path points in the initial motion path, so that a target motion path corresponding to the adjusted path parameters meets the path optimization target; according to the target motion path, in the scanning process of the single photon emission computed tomography system, the probe is controlled to move relative to the detection object so as to obtain detection data. According to the method, the attitude information of the detected object and the scanning requirement can be combined to realize accurate motion path planning and adjustment meeting the requirement, so that the application difficulty of motion planning is reduced.

The invention discloses a quantitative evaluation method for drug resistance of a microbial community, which comprises the following steps of: accurately positioning the position of a single colony on an agar plate by combining a paper diffusion method and colony image recognition processing based on the microbial community extracted from an environmental sample, and further carrying out quantitative analysis on the sample according to the colony distribution condition. And finally, calculating to obtain the drug resistance level of the microbial community through grading and weight matching of the drug-resistant areas. The method is provided for accurately and quantitatively evaluating the community drug resistance level of environmental microbial samples for environmental samples such as soil, natural water and activated sludge, and has high application value in the aspects of risk evaluation and prevention and control of drug resistance of environmental microbial communities.

The present invention provides a lead frame of a current sensor and a current sensor, the lead frame comprising: a lead frame body having a first side and a second side that are arranged oppositely, the lead frame body comprising a U-shaped current lead and a plurality of signal processing leads, the U-shaped current lead having a protrusion protruding toward the second side to form a bending portion, the bending portion forming a mounting area for supporting a chip, the two sides of the U-shaped current lead fork and extend toward the first side, each forming a fork, the fork forming a plurality of primary input lead connection terminals on the first side; the signal processing lead respectively forms a plurality of secondary signal lead connection terminals on the second side, the signal processing lead is separated from the bending portion; a ceramic isolator is arranged on one side of the bending portion and at least covers the mounting area. The present invention can improve the ability to resist common-mode magnetic field interference, and greatly improve the insulation withstand voltage isolation effect from the primary side to the secondary side, and can be applied to higher voltage occasions.

The invention discloses an optical cable fault positioning method based on a multi-parameter fusion detection device, and relates to the technical field of optical cables, and the multi-parameter fusion detection device used in the optical cable fault positioning method is internally provided with an optical time domain reflection module, a distributed vibration sensing module and a distributed optical fiber sensing temperature measurement module. Firstly, the optical time domain reflection module is gated to quickly determine the distance of a fault point along a cable, and then the distributed vibration sensing module is switched to determine an accurate target fault position where the fault point is located, and then candidate optical cables are quickly screened out; according to the method, the OTDR technology, the optical fiber vibration sensing technology and the optical fiber temperature measurement technology are fused, optical cable fault positioning can be rapidly completed on the premise that the optical cable is not damaged and the bearing service of the optical cable is not affected, and the optical cable fault positioning accuracy is improved. The method has good fault positioning accuracy, precision and timeliness.

The invention relates to a data processing method and device, electronic equipment and a storage medium, and the data processing method comprises the steps: obtaining user input information, and extracting a processing strategy identifier and target data information from the user input information, so as to determine a data storage type and a data operation type corresponding to the processing strategy identifier; based on a data storage strategy corresponding to the data storage type, in combination with the target data information, executing a data operation corresponding to the data operation type to obtain a data processing result corresponding to the user input information; therefore, the data operation can be executed by adaptively adopting the data storage strategy according to the information input by the user, and the technical problems of high learning cost and difficult application caused by the fact that the user needs to configure data processing logics corresponding to different storage modes in different scenes in the prior art are solved; the learning cost and the application difficulty of configuring data processing logic corresponding to different storage modes in different scenes can be effectively reduced.