425results about How to "Avoid negative effects" patented technology

A self-adaptive multi-sensor fusion method using radar, laser radar, IMU and GPS in a complex environment comprises the following steps: receiving radar point clouds, and preliminarily distinguishing dynamic point clouds and static point clouds in a single frame; the dynamic point cloud and the static point cloud are processed respectively, and the absolute speed of the robot is obtained; receiving point cloud data through the laser radar, and performing time synchronization and space calibration on each frame of data of the millimeter wave radar and the laser radar; dynamic points in each frame are removed in real time, and laser radar point cloud data only containing static points and static millimeter wave radar point cloud data are obtained; geometric feature extraction is carried out on the static laser radar point cloud data, and whether the robot enters a degradation area or not is judged; laser radar or millimeter-wave radar point cloud data are selected according to the number of feature points of the laser radar point cloud for matching of scanned sub-maps; the pose and the speed of the robot are obtained through a GPS, the reliability of GPS data is judged through the speed estimated by the millimeter wave radar and the pose obtained by the front-end odometer, the weight of the GPS data in rear-end optimization is determined by calculating the residual error of the speed estimated by the millimeter wave radar and the pose obtained by the front-end odometer, and the weight is added into a factor graph to be jointly optimized with the front-end odometer.

The invention discloses an ecological pontoon device and method for removing heavy metal in a water body, and relates to the technical field of sewage treatment.The ecological pontoon device comprises an overwater moving platform, a power propeller, a self-cruising module assembly, a heavy metal ion removing assembly and a control system, and the power propeller is installed at the bottom of the overwater moving platform; the self-cruising module assembly is mounted on the water mobile platform; the heavy metal ion removal assembly comprises an acrylic square groove formed in the water moving platform, ecological filler filled in the acrylic square groove and a micro diaphragm water pump installed between the acrylic square groove and the water moving platform, and the micro diaphragm water pump is suitable for pumping water from the lake into the acrylic square groove. The water is filtered by the ecological filler and is pumped back to the lake body again; the control system is electrically connected with the power propeller and the self-cruise module assembly. According to the method, heavy metal ions in the water body can be effectively removed, and the efficiency can be remarkably improved while the cost is reduced.

The invention discloses a two-dimensional magnetic material device and a preparation method and a regulation and control method thereof, and the regulation and control method comprises the steps: enabling ionic liquid to cover the surface of a two-dimensional magnetic material, enabling the ionic liquid to be in contact with a grid electrode, a source electrode, a drain electrode and the two-dimensional magnetic material, and continuously applying current from the grid electrode to the source electrode and to the drain electrode, and the regulation and control of the two-dimensional magnetic material device are completed. According to the two-dimensional magnetic material device and the preparation method and the regulation and control method thereof provided by the invention, the ionic liquid containing the cationic molecular chains with different lengths is selected to perform intercalation on the two-dimensional magnetic material device, so that regulation and control on the two-dimensional magnetic material device are realized, and the regulation and control flexibility of the two-dimensional magnetic material is greatly improved; and the coercive field, the magnetic anisotropy energy and the carrier concentration of the two-dimensional magnetic material can be changed.

The invention discloses a bioreactor process optimization system and method, and relates to the technical field of bioreactors. Comprising the following steps: collecting historical reaction process data of a bioreactor, and obtaining real-time reaction process data of the bioreactor; analyzing the historical reaction process data to obtain different influence results of different adjustment modes on the biological reaction process; establishing a cell culture model according to a corresponding relation obtained by different influence results of different adjustment modes on the biological reaction process; the real-time reaction process data is obtained, the biological culture process is influenced by adjusting the bioreactor, the specific adjustment mode is obtained through the real-time reaction process data and the required adjustment result, the required adjustment result can be obtained after the reaction in the adjustment mode obtained through backstepping, hysteresis is avoided, materials are saved, and the efficiency is improved. And the problem of poor subsequent biological reaction caused by excessive material addition, excessive design parameter adjustment and poor subsequent biological reaction due to hysteresis is also avoided.

The invention discloses a power grid construction subpackage management and control method based on big data, and the method comprises the following steps: collecting the data of a power grid construction site in real time, carrying out the preprocessing, and carrying out the storage through a distributed storage system; generating a comprehensive evaluation report by using the residual neural network and the graph convolutional network; adopting a particle swarm optimization algorithm to carry out subpackage provider selection and task allocation; predicting the construction progress through a long short-term memory network; performing image analysis on the video stream of the construction site by using a residual neural network and a single-time multi-frame detection algorithm; a Bayesian network and a multi-layer perceptron are used to predict construction risks, an isolated forest algorithm is used to carry out abnormal value detection on data, and a risk early warning report is generated and notified to related personnel. According to the invention, big data, deep learning and reinforcement learning technologies are fully combined, the power grid construction subpackage management and control method based on big data is described in detail, and the method has the advantages of high construction efficiency, accurate risk prediction and resource optimization.

The invention provides a method for preparing recombinant human albumin with low O-glycosylation level, comprising taking at least one measure to improve the growth rate of the strain and reduce the O-glycosylation level of the protein during the fermentation process, and specifically comprising S1, seed liquid preparation; S2, BSM culture medium is put into a fermentation tank, the pH is adjusted to 5.0-5.8, sterilization is carried out, dissolved oxygen is corrected after cooling, temperature and ventilation volume are set, sterilized PTM1 solution is added to the culture medium, and the pH of the culture medium is adjusted to 5.0-5.8 again; S3, shaking flask seeds are connected to the fermentation tank, dissolved oxygen is corrected, and rotation speed is set; S4, when the dissolved oxygen increases suddenly, a glycerol feeding stage is entered, and glycerol feeding is added at a uniform speed; S5, glycerol feeding and methanol feeding are added simultaneously, pH is adjusted to 6.0-6.5, and the temperature is lowered; S6, methanol feeding is added; S7, after the fermentation is completed, the tank is released, the fermentation product is centrifuged, and the supernatant is collected; the method of the invention can reduce protein O-glycosylation, and the expressed recombinant protein contains a very low level of glycosylation modification.

The invention discloses a polyamide composite membrane based on a nanobubble-assisted free interface polymerization strategy and a preparation method and application of the polyamide composite membrane. Nanobubble precursors of different types and concentrations are loaded in a water-phase solution by a chemical method, and the polyamide composite membrane is prepared by means of reaction between the precursors and water or self-decomposition of the precursors. Nanometer bubbles are pre-constructed in a water phase solution, and under a free interface polymerization process, by utilizing upward migration of the nanometer bubbles at a neutralization phase interface of the water phase solution, hierarchical regulation and control of a polyamide separation layer structure are realized from bottom to top; according to the polyamide composite membrane, the bottom opening characteristic, the internal nano-cavity structure and the surface morphological characteristic of the polyamide separation layer are effectively improved, the transmembrane transmission rate of water molecules is remarkably increased, the hydraulic resistance is reduced, and the water flux of the membrane is remarkably improved on the premise that the salt rejection rate of the polyamide composite membrane is not sacrificed.

The invention aims to provide an efficient memory allocation and recovery method for an Android device, and relates to the technical field of memory processing, the method comprises the following steps: step 1: obtaining running data of the Android device, and calculating a memory state entropy based on the running data; calculating a memory fragment risk degree in combination with the priority matrix and the operation data; 2, calculating a memory allocation dynamic threshold according to the memory fragmentation risk degree; calculating a self-adaptive memory compression rate; step 3, using a self-adaptive memory compression rate to compress memory data which is not used by the Android device at present; the page number of the activity process is lower than the set minimum page threshold value; 4, if the memory fragmentation risk degree exceeds a set fragmentation threshold value, the Android device executes memory fragmentation; and averagely distributing the residual memory capacity to all the active processes. According to the invention, accurate allocation and efficient recovery of memory resources are realized.

The invention provides an artificial grouper breeding method suitable for high latitude areas, and relates to the technical field of grouper culture, the method specifically comprises the following steps: S1, transportation and treatment of grouper fertilized eggs; s2, breeding grouper seedlings in the high-latitude region; s3, preparing and transporting the juvenile fish from the high-latitude area to the low-latitude area; and S4, carrying the juvenile fish back to the low-latitude region, and carrying out adaptive culture. According to the technical scheme, after the fertilized eggs of the groupers in the low-latitude area are conveyed to the high-latitude area for fry breeding, the groupers are bred in the low-latitude area, negative effects of pathogenic microorganisms and water bodies on the groupers under the natural habitat are effectively avoided, and the occurrence of diseases of the grouper fries is effectively prevented; and the quality and yield of grouper culture are improved.

The embodiment of the invention provides a method and device for monitoring upward and downward movement of a scraper conveyor based on point cloud registration, and the method comprises the steps: setting a target on the wall of a transportation roadway, obtaining a depth image of a target region, and carrying out the filtering and hole filling of the depth image of the target region, and obtaining a processed depth image of the target region; based on a world coordinate system established by taking image acquisition equipment as an original point, carrying out coordinate conversion on pixel coordinates and depth values in the depth image of the processed target area to obtain a three-dimensional point cloud; sequentially carrying out denoising, segmentation, down-sampling and clustering division processing on the three-dimensional point cloud to obtain a first target point cloud; based on the obtained target template point cloud and the first target point cloud, template point cloud features and target point cloud features are extracted; registering the target point cloud features and the template point cloud features for multiple times to obtain registered target point cloud; and based on the registered target point cloud and the world coordinate system, the upward-sliding and downward-sliding offset of the scraper conveyor is determined.

The invention relates to an antistatic functional plastic and a preparation method thereof, and belongs to the technical field of high polymer materials. The plastic with the antistatic function comprises the following components in parts by weight: 80-100 parts of polystyrene resin, 10-20 parts of glass fibers, 1-5 parts of an antioxidant, 2-8 parts of a light stabilizer, 5-10 parts of a modified antistatic agent and 0.3-0.6 part of a modified flame retardant, anhydride groups in the modified antistatic agent are dehydrated at a high temperature to form a conductive layer, static accumulation is effectively reduced, the anhydride groups and quaternary ammonium salt have a synergistic effect on static elimination characteristics and strong adsorption capacity, and meanwhile, the combustion speed is remarkably slowed down through heat absorption and catalysis of maleic anhydride; in the modified flame retardant, an alpha-amino alkyl phosphonate compound is decomposed to generate phosphorus-containing free radicals, a combustion chain is interrupted, nitrogen is released to inhibit combustion, the alpha-amino alkyl phosphonate compound and DOPO cooperate for flame retardance, the flame retardant efficiency is improved, and the prepared antistatic functional plastic has a good antistatic function and also has excellent flame retardant and tensile properties.

The invention discloses a defect detection positioning method, device and equipment based on an X-ray image and a storage medium, and relates to the field of image detection.An X-ray image of a conveying belt is obtained through an X-ray scanning camera, and a conveying belt joint detection model and target detection are trained based on the X-ray image; when a conveyor belt joint is identified in the X-ray image, determining the number of a target joint and position coordinates on the conveyor belt according to the joint image; and when the target defect on the conveying belt is detected, positioning the defect coordinate of the defect on the conveying belt according to the position coordinate of the target joint and the time interval between the target defect and the target joint. According to the scheme, the conveyor belt joint is detected through X rays, the conveyor belt section is divided through the joint, when the defect point is detected, defect positioning is achieved according to the distance value of the defect point in the joint section, and non-contact and abrasion-free defect detection, speed measurement and positioning are achieved.

The invention relates to the technical field of wetland ecosystem degradation identification, in particular to a wetland ecosystem degradation identification method and system. According to the technical scheme, the method comprises the following steps that a comprehensive wetland biodiversity monitoring system is constructed, and multiple types of sensors and high-definition cameras are deployed in a wetland so as to obtain multi-source data related to wetland organisms and environments; preprocessing the obtained original data to enable the original data to be suitable for subsequent artificial intelligence analysis; and biological species identification and biological diversity evaluation are respectively carried out by using an image identification technology based on deep learning and a machine learning algorithm. According to the method, the foundation is laid for analysis by comprehensively and accurately collecting wetland biological and environmental multi-source data and an effective preprocessing method; according to the method, biological species are accurately identified, diversity parameters are evaluated, indexes are reasonably set, trends are reliably analyzed by using a moving average method, data are periodically updated, model parameters and structures are adjusted, wetland changes are self-adapted, and wetland ecology is effectively monitored and evaluated.

The invention relates to the technical field of temperature early warning management, in particular to an electrolytic bath temperature central monitoring and early warning system. The system comprises an in-tank temperature frequency domain analysis module, an in-tank temperature and energy consumption influence analysis module, an in-tank electrolytic strength abnormity response adjustment module, an in-tank temperature over-low abnormity early warning adjustment module and an in-tank iterative execution influence analysis module. Temperature sensors are arranged at key positions in an electrolytic cell to monitor temperature signal distribution in the cell in real time and carry out frequency domain analysis, and meanwhile, corresponding current and voltage are obtained, electrolyte energy consumption analysis and time sequence influence analysis are carried out, and a time sequence correlation influence degree is obtained; and if the conditions are gradually increased and the temperature fluctuation is increased, designing and implementing an energy consumption abnormity response measure, if the conditions are gradually reduced and the temperature fluctuation is reduced, designing and implementing a temperature abnormity response measure, and if the conditions are judged to be other conditions, continuing to iteratively execute the time sequence influence analysis. The stability and quality of the electrolysis process can be guaranteed.

The invention relates to the technical field of audio noise reduction, in particular to an audio noise reduction method and system based on deep learning. The method comprises the following steps: acquiring original audio and sound production equipment operation data associated with the original audio; invalid audio elimination is carried out on the original audio, so that effective audio is generated; carrying out audio time alignment on the effective audio so as to generate a preprocessed standard audio; performing audio output mode detection on the preprocessed standard audio and the sound production equipment associated with the original audio to generate single-equipment output audio and multi-equipment output audio; audio period regular segmentation is carried out on single-device output audio, and single-device short-period output spectrum data and single-device long-period output spectrum data are generated. According to the invention, through invalid audio elimination, time alignment, layered noise extraction and abnormal noise identification, the accuracy and real-time performance of the noise reduction effect are improved.

The invention discloses an MEMS device and a preparation method thereof, and the preparation method comprises the steps: providing a first wafer, forming a cavity in the upper part of the first wafer, and forming a porous silicon layer at the bottom of the cavity; providing a second wafer with an etching stop layer on the surface, and bonding the upper side of the first wafer and the etching stop layer; a boss and a first bonding metal layer located on the boss are formed on the side, away from the first wafer, of the second wafer; forming a groove penetrating through the second wafer in the second wafer, and removing the etching stop layer between the cavity and the second wafer to form a suspended comb tooth structure; and providing a third wafer with a patterned second bonding metal layer on the surface, and bonding the second bonding metal layer and the first bonding metal layer to form a vacuum chamber. According to the technical scheme, the quality factor of the MEMS device can be remarkably improved.

The invention discloses an off-grid working condition control system and method for an inverter. The system comprises an inverter current feed-forward module, a first control loop, a second control loop and an inverter voltage feed-forward module which are connected in sequence. Wherein the inverter current feed-forward module is used for providing a current feed-forward signal for an inverter voltage output end of the inverter so as to generate an inverter voltage reference signal; the inverter voltage feed-forward module is used for providing a voltage feed-forward signal corresponding to an inverter voltage instantaneous value of the inverter; the first control loop is used for outputting an inversion current reference signal according to the inversion voltage reference signal and the voltage feed-forward signal; the second control loop is used for outputting a voltage adjusting signal according to the inverter current reference signal and the inverter current instantaneous value of the inverter, so that the adjusting signal and the voltage feed-forward signal are added to generate a PWM waveform signal for load power control, and therefore, an impact load can be driven with low rated inverter power; and the cost and the resource waste can be effectively reduced.

The invention relates to the technical field of carbon dioxide recovery waste gas purification, in particular to waste gas purification equipment for carbon dioxide recovery and a purification method thereof.The waste gas purification equipment for carbon dioxide recovery comprises a shell assembly and further comprises a slag removal assembly, and the slag removal assembly comprises a fixed cylinder and a rotating part; the rotating component comprises a slag removal motor, a first stirring plate and a second stirring plate, a fan-shaped shell is fixedly mounted at the bottom of the outer cylinder, a water outlet part is arranged at the bottom of the fan-shaped shell, and a collecting component is arranged in the fan-shaped shell, and the waste gas purification method for carbon dioxide recovery comprises the steps of spraying, purification and the like. The device has the advantages that sediments in the lime water are continuously removed in the waste gas purification process, the negative influence of sediment accumulation on the sulfur dioxide removal efficiency is avoided, sulfur dioxide in the waste gas is effectively purified, corrosion of the sulfur dioxide to subsequent carbon dioxide recovery equipment is reduced, and the reliability and the safety of a whole waste gas treatment system are improved.

The invention provides a composite additive based on 2, 6-butylated hydroxytoluene, phosphate fire-resistant oil and application, the composite additive is a mixture of 2, 6-butylated hydroxytoluene and Revonox 501, the addition amount of 2, 6-butylated hydroxytoluene is 0.01%-0.10%, the addition amount of Revonox 501 is 0.0020%-0.0050%, the addition amount of 2, 6-butylated hydroxytoluene is 0.01%-0.10%, the addition amount of 2, 6-butylated hydroxytoluene is 0.0020%-0.0050%, and the addition amount of 2, 6-butylated hydroxytoluene is 0.01%-0.10%. After the phosphate fire-resistant oil is added with the composite additive, the comprehensive performance of the phosphate fire-resistant oil in the operation process can be improved, and the defects that after new phosphate fire-resistant oil is loaded into a system, the action flexibility of a steam turbine assembly is reduced and a servo valve of a speed regulating system is corroded and jammed due to the phenomena that the acid value is increased, the resistivity is reduced, oil sludge is generated and the like in the use process are overcome; and the operation safety of a turbine set of a power plant is influenced.

The invention relates to the technical field of phototherapy instruments, in particular to a light control system and method for a phototherapy module, and the system comprises a plurality of assembly carriers, a plurality of line concentration assemblies, a plurality of phototherapy assemblies, a control assembly, a gravity sensing assembly, and a temperature sensing assembly. The line concentration assemblies are sequentially connected in series, the phototherapy assemblies are connected with the line concentration assemblies, the line concentration assemblies are transversely arranged on the assembly carrier, the assembly carrier is provided with an assembly groove, the phototherapy assemblies are arranged on the assembly groove, and the control assembly comprises a phototherapy control module, a gravity receiving module, a temperature sensing receiving module and a power supply module. The phototherapy control module is connected with the phototherapy assembly through the line concentration assembly so as to control the phototherapy assembly. The number of components can be flexibly increased or decreased, and the layout can be adjusted to adapt to wider treatment scenes and individual requirements.

The invention discloses a mechanical arm trajectory tracking sliding mode control method and system based on a predetermined sliding set. The method comprises the steps that a motion equation representing a mechanical arm dynamic model is established; according to the motion equation, mechanical arm tail end joint angular displacement and angular velocity are selected as state vectors, and a mechanical arm state space model is established; according to the expected tracking trajectory, a mechanical arm tracking error vector is obtained, and a mechanical arm tracking error kinetic equation is established in combination with the mechanical arm state space model; selecting a sliding variable according to the tracking error information of the mechanical arm; a self-adaptive sliding mode tracking control law is established in combination with the sliding variable, and the sliding variable of the tracking error of the tail end joint of the mechanical arm is restrained in combination with a Lyapunov function stability analysis method; according to a Lyapunov function direct method, stabilization control integration is carried out on the constrained sliding variables, it can be ensured that a mechanical arm tail end joint tracking system cannot lose a preset sliding mode, and therefore the anti-interference performance, the fault tolerance performance and other robust performance are improved.

The invention provides an underground large block secondary crushing device and method based on a robot platform. The device comprises a robot and an expansion cartridge, the robot comprises a robot seat, a drilling mechanical arm, a clamp mechanical arm, a depth camera and a container bin, a drill bit is installed at the tail end of the drilling mechanical arm, a clamp is installed at the tail end of the clamp mechanical arm, and the drilling mechanical arm, the clamp mechanical arm and the depth camera are all connected with a robot platform. The expansion cartridge is stored in the container bin. The mechanical arm is controlled through the robot platform, it is guaranteed that large rock is stably crushed in the complex and changeable underground environment, manual operation is reduced, production safety is guaranteed, and production efficiency is improved; a depth camera is used for accurately positioning the position of a large rock, the position of a blast hole is accurately positioned, and the accuracy of drilling and charging is guaranteed; rock breaking work is carried out through the expansion cartridge, and negative influences of blasting vibration and blasting shock waves on surrounding rock are avoided.

The invention relates to the technical field of mechanism design, and discloses a hard disk frame module and a server, the hard disk frame module comprises a hard disk frame, the hard disk frame is provided with a hinge end and a free end, the hinge end is used for being rotatably connected with the side wall of a case, and the hard disk frame has a first state in which the free end is turned up relative to the case; in the second state, the free end is arranged in the case; the handle is rotatably arranged at the free end of the hard disk frame, the handle is provided with a first abutting part, the bottom wall of the case and / or the hard disk frame module further comprises a bottom support, and when the first abutting part abuts against the bottom support, the hard disk frame is in a first state. According to the hard disk frame module provided by the embodiment of the invention, devices such as a cable, a plug-in card and a radiator below the hard disk frame module can be maintained under the condition that the hard disk frame does not need to be disassembled, and the defect that in the related technology, the hard disk frame can only be overturned within a small angle range and cannot be overturned can be overcome. And an operator cannot conveniently maintain components such as a mainboard at the bottom of the hard disk frame.

The invention relates to the technical field of measurement, in particular to a well deviation and geomagnetic field intensity measurement system based on a high-precision fluxgate sensor. Comprising a fluxgate sensor group, a magnetic field data analysis part and a measurement result calculation part, the fluxgate sensor group comprises high-precision fluxgate sensors for respectively measuring magnetic field components in the X-axis direction, the Y-axis direction and the Z-axis direction; the magnetic field analysis part is used for constructing a magnetic field gradient tensor according to the physical parameters of the high-precision fluxgate sensor, the effective magnetic conductivity and the corrected magnetic field component in each direction, and separating a geomagnetic field vector from the total magnetic field vector according to the magnetic field gradient tensor; and the measurement result calculation part is used for calculating a hole drift angle value and an azimuth angle value according to the geomagnetic field vector. According to the method, the precision, robustness and environment adaptability of underground magnetic field measurement are remarkably improved. The geomagnetic field vector can be accurately extracted, and high-precision calculation of the hole drift angle and the azimuth angle is achieved.

The invention relates to the technical field of refrigeration control, in particular to a water cooling system, a control method and a first-stage water cooling assembly, the water cooling system comprises a first circulation loop piece, a first control piece and a first adjusting piece, the first control piece is arranged on the first circulation loop piece, and the first adjusting piece is arranged on the first circulation loop piece; the second-stage water cooling assembly comprises a second circulation loop piece, a second control piece and a second adjusting piece, the second circulation loop piece is arranged on the first control piece and the first adjusting piece, the second control piece is arranged on the second circulation loop piece, the second adjusting piece is arranged on the second circulation loop piece, and the second control piece is arranged on the second circulation loop piece. Through interaction between the first-stage water cooling assembly and the second-stage water cooling assembly and combination of fuzzy control through PID, when semiconductor equipment and a particle accelerator operate, the water inlet temperature of a load can be accurately controlled.

The invention provides a lithium battery positive electrode active material recovery method which is characterized by comprising the following steps: S1, providing a eutectic solution which comprises choline chloride, urea and a lithium salt; s2, putting a positive pole piece in a lithium battery into the eutectoid solution to obtain a lithium-supplemented positive pole piece; s3, carrying out separation treatment on the lithium-supplemented positive pole piece obtained in S2 to obtain a lithium-supplemented positive active material; and S4, carrying out roasting treatment on the lithium-supplemented positive electrode active material obtained in S3 to obtain the repaired positive electrode active material.

The invention discloses an opening and closing control method and system based on a circuit breaker, relates to the technical field of circuit breakers, and adopts a Python technology to construct a quadratic polynomial function so as to accurately analyze the relationship between an expansion coefficient and temperature, and the process enables the deformation influence of temperature change on a bimetallic strip in the circuit breaker to be comprehensively grasped. The bending deformation of the bimetallic strip at different temperatures can be evaluated in real time based on the electric power data set and the temperature and deformation relation obtained through analysis. By setting a bending deformation threshold and comparing the bending deformation with the threshold, whether an opening mechanism is triggered or not can be judged, after the opening mechanism is triggered, the deformation process of the bimetallic strip is traced back, the upper limit temperature of the bimetallic strip is analyzed and determined, and the thermal response duration is calculated in combination with related material characteristic change data. The step can help to judge whether the thermal response of the bimetallic strip in the circuit breaker is stable or not, and a temperature compensation mechanism is started under the condition that the temperature is unstable, so that the thermal response process is optimized.

The invention discloses a small sample target detection method and device based on hybrid experts, and belongs to the technical field of target detection, and the method comprises the steps: employing a repeated up-sampling and data enhancement mode to carry out the enhancement of a new-class small sample image; constructing a small sample target detection model based on the hybrid experts, wherein the small sample target detection model comprises a shared shallow feature network, a unique deep feature network of each hybrid expert, a feature fusion network and a target detection network corresponding to each hybrid expert; and performing parameter optimization on the small sample target detection model based on the hybrid experts by using the basic category image and the new category enhanced image, and learning knowledge of different depths by using the hybrid experts and skillfully combining features of different depths, thereby improving the detection performance of the model on a small sample target detection task. And meanwhile, the combination of up-sampling and data enhancement is proposed, so that the overfitting problem caused by the up-sampling process is effectively alleviated, the diversity of small sample data is enhanced, and the robustness of the model is improved.

The invention discloses a preparation method and application of active cationic chitosan nanoparticles, which comprises the following steps: reacting a low-molecular chitosan triethylamine hydrogen sulfate ionic liquid ([(C2H5) 3NH] HSO4) solution with an aldehyde compound ethanol solution to form Schiff base protection on chitosan C2-site amino, and then reacting with 2, 3, 5, 6-tetramethyl-4-piperidine-2-one to obtain the active cationic chitosan nanoparticles. The preparation method comprises the following steps: carrying out nucleophilic substitution reaction on chitosan C6 in the presence of a basic catalyst by using 2, 3-epoxypropyl trimethyl ammonium chloride, then adding a chemical initiator, carrying out grafting reaction on chitosan C3 and acrylic acid, and then removing Schiff base protection on chitosan C2. Carboxylate anions of acrylic acid and cations of chitosan are subjected to cross-linking self-assembly through a hydrothermal reaction, and the chitosan nanoparticles which are high in stability, small in particle size, uniform in distribution and efficient and lasting in function are obtained. The prepared nanoparticles are high in reaction activity, contain a large amount of quaternary ammonium salt, amino dication groups and carboxyl groups, and have wide application prospects in the fields of dye adsorption, heavy metal adsorption, textile function finishing and the like.

The invention provides a cross-linking and curing environment-friendly polyurethane waterproof coating and a preparation method thereof, and the cross-linking and curing environment-friendly polyurethane waterproof coating comprises the following raw materials by weight: 15-30 parts of a polyhydroxy compound; 6 to 15 parts of pentaerythritol polyether; 1-5 parts of an anionic surfactant; 1 to 5 parts of nano silicon dioxide aerogel; 1-8 parts of wollastonite powder; 25 to 45 parts of fly ash floating beads; 10 to 25 parts of diisocyanate; 0.5 to 3 parts of chlorinated paraffin; and 0.5 to 3 parts of N, N-dimethyl-2-hydroxyethylamine. The cross-linking curing environment-friendly polyurethane waterproof coating provided by the invention solves the environment-friendly problem of the traditional polyurethane waterproof coating, realizes solvent-free curing, meets the environment-friendly requirement, improves the comprehensive properties such as elasticity and durability of a coating film, and provides a safer and more effective solution for waterproof construction.