1456results about How to "Maintain stability" patented technology

The invention relates to the technical field of traffic management, in particular to a dynamic traffic scheduling method and system based on network configuration, and the method comprises the following steps: based on network configuration data, extracting network index data, network indexes including network delay, packet loss rate and bandwidth size, calculating a network quality score, evaluating a current network state, and obtaining network state information. According to the method, the key network indexes are extracted, the network quality score is calculated, and the current network state is comprehensively evaluated, so that network configuration can respond to network requirements and condition changes, and according to the real-time network quality, the bandwidth resources are dynamically adjusted, and a priority rating mechanism is introduced, the network quality is improved. The time sensitivity of different data contents is evaluated, it is ensured that important data can obtain enough transmission resources, the influence caused by network fluctuation is compensated by monitoring the network fluctuation in the data transmission process and adjusting bandwidth allocation in real time, and the continuity and efficiency of data transmission are ensured.

The invention discloses an ROV positioning navigation system based on vision inertial navigation fusion and pose correction, which comprises an inertial measurement value and image preprocessing module loaded on an ROV, the inertial measurement value and image preprocessing module is connected with a vision and inertial navigation data fusion module through a wire, and the vision and inertial navigation data fusion module is connected with a pose correction module. The invention also discloses a positioning navigation method of the ROV positioning navigation system based on visual inertial navigation fusion and pose correction. According to the method, the inertial data provided by the IMU and the environment characteristic information captured by the visual sensor are fused, high-precision estimation of the position and attitude of the ROV can be realized, the sensor data are optimally fused by using the MSCKF algorithm, the influence of the error of a single sensor on the positioning result is reduced, and the positioning precision and reliability of underwater operation are remarkably improved.

The invention provides an RFID-based power supply management method for a tilt angle sensor of a power tower, and the method comprises the steps: employing a support vector machine and a decision tree, analyzing the historical operation data of the tower, building a tower fault prediction model, predicting the state of the tower through the tower fault prediction model, and obtaining the fault probability and time of the tower; according to a tower fault prediction result, a preventive maintenance plan is made, priority maintenance is arranged for the tower with the fault probability larger than a preset threshold value, and a power supply strategy is adjusted in advance for the tower predicted to have a fault, and load pressure is reduced; a tower group intelligent power supply management system is adopted, state information and a power supply strategy of a single tower are integrated into a whole power grid, the power supply load of each tower is dynamically adjusted through a load balancing algorithm, and for a tower in a dangerous state, the power supply load of the tower is reduced, and the load is transferred to a tower in a good state.

The invention discloses a soil quality improvement and microbiological analysis integrated system, and relates to the technical field of soil improvement and microbiological analysis, the system comprises a microbial agent adding module, an organic acid adjusting module, a soil improvement effect monitoring module, a data analysis and processing module and a control and feedback module. According to the invention, high integration of soil improvement and microbiological analysis is realized, the efficiency and effect of soil improvement are improved through real-time monitoring and accurate regulation and control, and the microbial community is comprehensively and dynamically analyzed, so that deep understanding of a microbial action mechanism in the soil improvement process is facilitated, and the soil improvement efficiency and effect are improved. By monitoring succession of microbial community structures, expression changes of functional genes and diversity of carbon source utilization functions, the effects of microorganisms on straw degradation, soil structure improvement and the like are accurately grasped, problems are found in time through an early warning function, improvement measures are adjusted in time, and the stability and sustainability of a soil ecosystem can be effectively maintained.

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

The invention relates to an automatic driving forced lane changing decision-making method based on a dynamic continuous game, which belongs to the technical field of intelligent connected automobiles and comprises the following steps: acquiring motion state information of a self-vehicle and surrounding vehicles in a forced lane changing scene through a vehicle-mounted sensor and vehicle-to-vehicle communication; calculating a collision boundary; generating an initial decision based on non-cooperative non-zero and dynamic games; optimizing the initial strategy by adopting a game strategy based on information continuity; and outputting a final forced lane change decision under the condition that the strategy after game decision optimization based on information continuity is continuously kept for three periods. According to the automatic driving forced lane changing dynamic game decision-making method considering decision-making continuity, the decision-making model is constructed by adopting non-cooperative non-zero and dynamic games, so that the driving safety, comfort and efficiency are improved; through a dynamic game algorithm based on decision continuity, decision adaptability and predictability are enhanced, stability and consistency of decision output are ensured, and uncertainty and risk are reduced.

The invention relates to the technical field of signal analysis and processing, in particular to an underground flow switch control method based on vibration signal analysis. The method comprises the steps that 1, vibration signals of a pump are collected through a three-axis vibration sensor, and acceleration time domain signals in the three-axis direction are obtained; performing multi-dimensional vibration spectrum component decoupling on the acceleration time-domain signal to obtain a time-frequency characteristic matrix of three-axis vibration; 2, calculating a Reynolds stress tensor based on the turbulence intensity; calculating a flow state transition criterion value according to the turbulence intensity and the Reynolds stress tensor, and establishing a flow estimation model; 3, according to the flow estimation model, dynamic response of underground flow switch control is generated; and according to the dynamic response, a self-adaptive control law for controlling the underground flow switch is generated by using a self-adaptive control method. According to the invention, the limitation of a traditional pressure sensing and flow sensing technology in a complex underground flow state is effectively overcome, and the real-time performance, the accuracy and the environmental adaptability of flow control are remarkably improved.

The invention relates to the technical field of three-dimensional measurement, and discloses a structured light three-dimensional detection system, method and device based on optical phased array coding, the structured light three-dimensional detection system comprises an optical phased array module, an acquisition module and a control module, the control module is connected with the optical phased array module and the acquisition module, and the optical phased array module is connected with the acquisition module and the control module. The optical coding module is used for performing phase regulation and amplitude regulation on the optical signal based on a preset regulation instruction to generate an optical coding pattern, and projecting the optical coding pattern to the surface of the to-be-measured object, so that the to-be-measured object reflects the optical coding pattern to generate reflection coding light; the acquisition module is used for acquiring the reflection coding light to obtain a reflection coding pattern; and the control module is used for generating a preset regulation and control instruction, decoding the reflection coding pattern, extracting a coding value and calculating feature information of the to-be-measured object based on the coding value. The problem that the structure light source cannot be adjusted can be solved, and the flexibility and controllability of three-dimensional detection are improved.

The invention provides a soil nutrient detection method based on a gamma-ray energy spectrum and an XGboost algorithm, and the method comprises the steps: constructing a training sample for soil nutrient detection, the training sample comprises radioactive element data, and the label of the training sample is soil nutrient data with the same soil point location as the radioactive element data; the training sample is input into an XGboost model, the XGboost model extracts features of the training sample and predicts soil nutrients of the training sample, the soil nutrients serve as nutrient predicted values, a loss function is constructed according to the nutrient predicted values and labels of the training sample, the XGboost model is trained, and a soil nutrient detection model is obtained; acquiring soil radioactive elements of to-be-detected soil through a gamma-ray energy spectrometer, and inputting the soil radioactive elements into the soil nutrient detection model to obtain a nutrient detection result of the to-be-detected soil.

A three-dimensional target detection and tracking method fusing multi-sensor information belongs to the technical field of computer vision, and can make up for the defect of a single mode by collecting camera and radar image information and fusing camera images and laser radar point clouds. Multi-target tracking is carried out by using a multi-data coupling method of 2D + 3D data, a remote object is identified through a camera, when the object enters an induction range of the laser radar, the laser radar can carry out more accurate positioning, and position estimation of the target in a 2D image is corrected by using a more accurate 3D position provided by the laser radar. The method is used for solving the problems of inaccurate target identification, target shielding and the like under complex road conditions; a traditional single-mode three-dimensional target detection algorithm cannot effectively fuse the advantages of multi-sensor data and is difficult to accurately identify objects in a distance or under a complex road condition.

The invention provides a torque control method and device of a vehicle, electronic equipment and a storage medium. The method comprises the steps that driving demand information input by a driver is acquired, the whole vehicle state of a vehicle is recognized, and whole vehicle state parameters are obtained; based on the current working condition of the vehicle, the driving demand information and the whole vehicle state parameters, the output torque limiting range of the driving motor is determined, and the output torque is limited based on the output torque limiting range so that the acceleration and the acceleration change rate of the vehicle can be controlled within the corresponding preset range; and the slip rate and the slip rate change rate of the vehicle are determined, the limited output torque is compensated based on the slip rate and the slip rate change rate of the vehicle, and the actual output torque is obtained so that the actual output torque can adapt to the current road condition. The cost can be reduced, the implementation process can be simplified, large-scale application can be achieved, the carsickness problem is effectively solved, and the driving comfort of a user is improved.

The invention, which relates to the technical field of artificial intelligence, discloses a warehouse-in and warehouse-out path planning method and system for intelligent warehousing, and the method comprises the steps: generating an optimal operation path of a to-be-operated carrier through a path planning model; the method comprises the following steps: predicting whether a current carrier has a collision risk with all carriers in a warehouse in a time dimension or not through a time block, predicting whether the current carrier has a collision risk with all carriers in a warehouse in a space dimension or not through a space block, and when the time block and the space block simultaneously detect that the current carrier has the collision risk at a certain moment, judging whether the current carrier has the collision risk; the decision block judges that the current carrier has a collision conflict, and determines an optimal avoidance strategy through an action value function; according to the optimal avoidance strategy, the avoidance waiting carrier is determined, the total waiting time and the waiting space position of the avoidance waiting carrier are calculated, and the avoidance strategy is executed. According to the technical scheme, the problem that in-out garage path planning and collision processing cannot be intelligently and accurately carried out in the prior art can be solved.

The invention provides a self-discovery ad-hoc network control method based on a swan-gap operating system, and relates to the technical field of data processing, and the method comprises the steps: based on the swan-gap operating system, extracting the identification information and communication parameters of equipment from all to-be-networked equipment; carrying out compatibility judgment on the communication protocol version and the maximum support bandwidth between the devices; determining a control relationship between the master device and the slave device; dynamically allocating communication resources to each device by adopting a distributed channel allocation algorithm in combination with task requirements of the devices and network bandwidth information; periodically synchronizing the resource state of each device; when the slave device sends a networking quitting request, the master device updates the networking candidate data and re-determines the networking control relationship after releasing the corresponding communication resources; when the master device exits, the device with the highest priority is selected from the slave devices to automatically take over the control role and complete the reconstruction of the networking control relation; according to the invention, the autonomy and accuracy of networking are improved.

The invention relates to the field of bioinformatics and machine learning, in particular to a rice genotype and phenotype association prediction method based on machine learning. The method comprises the following steps: collecting genotype data and phenotype data of a rice sample, and generating genotype features by adopting a dynamic feature extraction algorithm so as to obtain a genotype feature set; and S2, constructing a genotype and phenotype association prediction model, and predicting phenotypes based on the genotype feature set. The problems that feature information of genotype data is difficult to accurately capture due to non-uniform data distribution or periodic change of different gene loci, and complex features are difficult to recognize by an existing feature extraction method are solved; in the aspect of agricultural genotype and phenotype prediction, especially in the fields of rice breeding, disease resistance enhancement and yield optimization, an effective method special for bioinformatics feature extraction and correlation prediction is lacked; the technical problem of excessive dependence on some unimportant or redundant features due to insufficient performance during feature redundancy processing is solved.

The invention belongs to the technical field of online detection of oil and gas pipelines, and particularly relates to a real-time detection device for compound damage of an oil and gas pipeline under double magnetic fields. In order to realize dual early warning on stress concentration degree and defect profile of composite pipeline damage, a PC (Personal Computer), a control system and other main control equipment are utilized to intelligently control an excitation system and a plurality of groups of magnetic sensors densely distributed on a detection pipe section; and generation and digital acquisition of pipeline composite damage magnetic detection signals under strong and weak double magnetic fields are carried out. And based on magnetic flux leakage detection and magnetic memory detection principles, a digital calculation and analysis program of the system is written so as to design the real-time detection device for the composite damage of the oil and gas pipeline under the double magnetic fields.

The invention discloses a synthesis method of a non-silicon defoaming agent and application of the non-silicon defoaming agent in the field of scandium extraction in hydrometallurgy. The defoaming agent is synthesized by a component A, a component B and a component C through a two-step reaction, the synthesis method comprises the following specific synthesis steps: 1) carrying out esterification reaction on an amino acid substance A and a fatty alcohol substance B to generate an amino ester substance D; and 2) carrying out substitution reaction on the amino ester substance D and a triazine compound C to obtain the non-silicon defoaming agent. The defoaming agent disclosed by the invention is wide in application range, can be applied to links such as a laterite-nickel ore hydrometallurgy front-end scandium extraction method and an MHP hydrometallurgy scandium impurity removal process, is added as an auxiliary agent in the extraction process, and is used for reducing the surface tension of liquid, preventing the formation and enrichment of a third-phase substance and reducing the occurrence of an emulsification phenomenon; the process stability and the output quality are improved, and the method has important industrial application value.

The invention discloses a high-stability iron-cerium flow battery and a preparation method of electrolyte, and belongs to the technical field of flow batteries. A positive electrolyte and a negative electrolyte are cerium salt and ferric salt, and are respectively mixed with nitrilotriacetic acid, ethylenediamine tetraacetic acid, trans-1, 2-cyclohexanediamine tetraacetic acid, 1, 3-propane diamine tetraacetic acid, N-(2-ethoxyl) ethylenediamine-N, N ', N'-triacetic acid, iminodiacetic acid, iminodisuccinic acid, succinic acid, N, N '-bis (2-hydroxyethyl)-N, N', N '-triacetic acid and N, N'-bis (2-hydroxyethyl)-N, N '-bis (2-hydroxyethyl)-N, N'-bis (2-hydroxyethyl)- N, N '-ethylenediamine disuccinic acid, aspartic acid or a derivative chemical thereof are coordinated to form an aqueous solution of the coordination compound. The positive electrolyte and the negative electrolyte are prepared from the same and equal chelating agent and supporting electrolyte, and the matching degree of the acid-base property of the positive electrolyte and the negative electrolyte is maintained; the auxiliary electrolyte is added, so that the viscosity difference between the positive electrolyte and the negative electrolyte is reduced, the transmembrane migration of water is reduced, and the conductivity is improved. The selected chelating agent is stably combined with iron and cerium, transmembrane transportation of active substances is inhibited, ion cross contamination among different electrolytes is reduced, and meanwhile side reactions are reduced. The price is low, and the charge-discharge performance and the cycle life of the iron-cerium flow battery are effectively improved at relatively low cost.

The invention provides a self-adaptive cruise target selection method and device, computer equipment and a medium, and relates to a self-adaptive cruise technology, and the method comprises the steps: obtaining historical tracks of a plurality of targets under a self-vehicle coordinate system; determining a predicted driving track of the vehicle; for each target, calculating a deviation average value EAvg and a deviation maximum value EMax of a target historical track and a self-vehicle prediction track at each point; traversing each target, judging whether the own vehicle follows the historical track of the target or not, and determining the target of which the own vehicle follows the historical track; and determining a self-vehicle following target in the targets of the self-vehicle following historical track. The method is suitable for high-speed or low-speed lane changing; target historical trajectories are introduced to be fused with self-vehicle predicted driving trajectories, and target selection is more stable; according to the target selection method, the target selection track is adopted only for the current target which is the lane changing scene that the vehicle follows the target vehicle and is judged to be recently followed by the vehicle, and the target selection tracks of other targets are not influenced, so that the flexibility of target selection is improved.

The invention relates to a new energy vehicle power battery protection flame-retardant system and method, and belongs to the technical field of new energy vehicle protection. The system comprises a controller, a power source, an unfolding device and sensors, the power source, the unfolding device and the sensors are electrically connected with the controller, the unfolding device comprises a gas generator and flame-retardant cloth, and the sensors comprise a temperature sensor arranged on a vehicle power battery, a smoke sensor and collision sensors arranged on a vehicle body and the power battery; and the unfolding device is arranged corresponding to a power battery of the vehicle. The invention has the following beneficial effects: when the vehicle power battery burns due to high temperature or accident collision, flames, high temperature and a large amount of smoke generated by burning are isolated, the escape time of passengers is prolonged, the medical cost caused by casualties is reduced, and the economic loss is effectively reduced; and meanwhile, by reducing the number of casualties in traffic accidents, the overall safety level of the society is improved, and the social stability is maintained.

The invention provides a hyperspectrum-based tea tree canopy leaf nitrogen estimation method, which comprises the following steps of: firstly, smoothing original spectral data of a tea tree canopy by using a Savitzky-Golay method so as to reduce random noise and improve a signal-to-noise ratio; then, the original spectrum is converted into 600 wave bands at the interval of 1 nm through spline interpolation, so that the continuity and convenience of calculation are ensured; the method comprises the following steps of: firstly, carrying out first-order derivative processing on a spectrum, then carrying out second-order derivative processing on the processed spectrum, calculating a normalized difference spectrum index (NDSI) by using a derivative spectrum, calculating a Pearson's correlation coefficient (PCC) between the NDSI and a measured nitrogen element, carrying out principal component analysis (PCA) on the highest 20 indexes of the correlation coefficient, and finally constructing a multiple linear regression model by using the principal components with the first 10 PCA scores as parameters. The method is used for predicting the nitrogen content (LNC) of tea tree canopy leaves. Prediction experiments of a plurality of tea gardens show that the model shows a good prediction effect which is close to the actual nitrogen content, and the generalization performance is good.

The invention relates to the technical field of chemical coatings, and particularly discloses an aerogel flame-retardant heat-insulation coating and a preparation method thereof. The aerogel flame-retardant heat-insulation heat-preservation coating is prepared from the following raw materials in parts by weight: 25 to 40 parts of deionized water, 0.1 to 1.0 part of cellulose, 4 to 10 parts of a building additive, 15 to 30 parts of a silicate flame retardant, 20 to 35 parts of an emulsion, 0.5 to 3.0 parts of aerogel and 12 to 25 parts of hollow glass beads, the preparation method comprises the following steps: adding the cellulose into the deionized water, stirring and mixing, then adding the building additive and the silicate flame retardant, stirring and mixing, then adding the emulsion, stirring and mixing, finally adding the aerogel and the hollow glass beads, and uniformly mixing to obtain the aerogel flame-retardant heat-insulation coating. After the aerogel flame-retardant heat-insulation heat-preservation coating is applied, a protective layer formed by the silicate flame retardant used by the aerogel flame-retardant heat-insulation heat-preservation coating at a high temperature can show relatively good closing performance, so that the aerogel flame-retardant heat-insulation heat-preservation coating has excellent heat-insulation heat-preservation performance and flame-retardant performance.

The invention discloses a social network public opinion monitoring method and system based on artificial intelligence. The method comprises the following steps of obtaining public opinion data from a social network platform and performing data preprocessing; hot events are automatically extracted from the public opinion data, and a density peak clustering algorithm is utilized to identify a high-density area and determine the popularity of the hot events. A BERT model is adopted to carry out sentiment classification on a text, context features are extracted in combination with bidirectional LSTM, and sentiment tendency is output through a Softmax classifier. For a specific target event, a multi-head attention mechanism and a convolutional neural network are used for specific target emotion classification. And performing noise reduction and decomposition on the time sequence data, constructing a plurality of basic prediction models, generating a combined prediction model in combination with weighted average, and monitoring and predicting the public opinion development trend in real time. Accurate public opinion analysis and decision support are provided for governments and enterprises, public opinion risks are reduced, social stability is maintained, and social construction is promoted.

The invention relates to the technical field of access control systems, and discloses a multi-mode biological recognition access control system, a biological recognition module is used for collecting biological characteristic images of a user, and the biological characteristic images at least comprise a fingerprint image, a face image and an iris image; the data processing module is used for performing data processing and analysis on the biological feature image acquired by the biological recognition module, extracting an effective feature value, and obtaining a target feature image; the identity determination module is used for performing multi-mode identification on the target feature image to obtain an identification result, and performing comparison to determine the identity of the user; the control module is used for controlling the opening or closing of the access control according to the comparison result of the identity determination module; the storage module is used for storing a biological characteristic template and access control parameter information of a user; the communication module is used for carrying out communication and linkage with a mobile terminal in a wired communication or wireless communication mode; the safety of the access control system is effectively improved, and the accuracy of identity verification is improved.

The invention discloses organic material and microbial agent coupled fertilization equipment and method, the organic material and microbial agent coupled fertilization equipment comprises a mixing box, the bottom of the mixing box is of a semicircular structure, and the upper part of the mixing box is of a rectangular structure; a partition plate is fixedly connected to the upper portion of the mixing box and divides the upper space of the mixing box into an organic material feeding cavity and a soil feeding cavity. A storage box is arranged on one side, close to the soil feeding cavity, of the upper part of the mixing box; a circular cavity is formed in the bottom of the mixing box; a mixing barrel with two closed ends is rotationally connected into the circular cavity; firstly, a microbial agent and a carrier are preliminarily mixed, then the coupled microbial agent is put into a mixing barrel, the clay carrier and the microbial agent are mixed to protect the microbial agent, the microbial agent is not directly subjected to violent reaction or excessive stirring with other materials, the shearing force of a stirring rod is reduced, and the use of the soil carrier can help maintain the stability and activity of the microbial agent; meanwhile, the uniform distribution of the fungicide and the organic materials is ensured.

The invention discloses a multi-dimensional rumor detection and prevention system based on a large language model, which relates to the technical field of rumor detection and comprises a data collection module, a data preprocessing module, a feature extraction module, a background knowledge integration module, a logical reasoning module, a detection and classification module and a prevention and response module. According to the rumor detection method and system, all aspects of the rumor can be comprehensively considered from multiple angles, the aspects include but are not limited to the content of the rumor, the propagation path of the rumor and the interaction condition between the users, and through the comprehensive analysis, the system can ensure that detection of the rumor covers all related dimensions, so that the accuracy and comprehensiveness of detection are improved, and the detection efficiency is improved. The rumor detection and classification work can be efficiently carried out by utilizing an advanced artificial intelligence technology, and through an intelligent means, the system not only improves the detection efficiency, but also remarkably improves the detection accuracy and the intelligent level, so that the rumor detection is more accurate and efficient.

The invention discloses an identity recognition method and system based on 3D tooth point cloud multi-feature fusion. The method comprises the following steps: collecting a 3D tooth point cloud of a to-be-recognized identity; inputting the 3D tooth point cloud of which the identity is to be recognized and each 3D tooth point cloud of which the identity is registered in the identity database into the trained tooth multi-feature fusion identity recognition backbone network, and outputting a registration result between the 3D tooth point cloud of which the identity is to be recognized and each 3D tooth point cloud of which the identity is registered; the backbone network comprises a color feature extraction module, a structural feature extraction module, a feature fusion module, a local sampling feature extraction module, a feature aggregation module, a coarse correspondence prediction module, a point cloud decoding module, a fine correspondence prediction module and a prediction registration module. And taking the identity information of the 3D tooth point cloud with the registered identity, which is optimally registered with the 3D tooth point cloud with the identity to be identified, as the identity label of the 3D tooth point cloud with the identity to be identified. According to the invention, identity recognition can be carried out based on the 3D tooth point cloud.

The invention discloses a circularly polarized dielectric resonator two-dimensional beam scanning phased-array antenna based on liquid crystal, and belongs to the technical field of microwave antennas. The antenna comprises an elliptic cylindrical dielectric resonator radiation structure, a sequential rotation feed network and a liquid crystal phase shifter structure based on a glass plate, wherein the elliptic cylindrical dielectric resonator radiation structure and the sequential rotation feed network are arranged on a flexible printed circuit board (FPC); the radiation structure and the feed network which are arranged on the FPC comprise a radiation unit, an FPC layer and a feed network; the liquid crystal phase shifter comprises a glass dielectric substrate, a liquid crystal layer, an inverted spiral microstrip line and a bias network; the elliptic cylindrical dielectric resonator radiation structure realizes wide impedance bandwidth and wide axial ratio bandwidth; the antenna array also uses a sequential rotation method, the axial ratio characteristic of the phased-array antenna is further improved, and the coupling feed structure is simplified by using the design that the L-shaped microstrip line is connected with the inverted spiral microstrip line after sequential rotation.

The invention discloses a single-phase voltage-multiplying interleaving power correction circuit. The correction circuit comprises an alternating current power supply Ug, an inductor L1, an inductor L2, diodes D1 to D8, switching tubes S1 to S2, a capacitor C1, a capacitor C2, a capacitor C3 and a load RL, and the switched capacitor C3, the capacitor C1, the diode D7 and the diode D8 are respectively connected to form a switched capacitor circuit so as to form a voltage-multiplying structure. The advantages of the single-phase interleaving parallel technology and the voltage doubling rectifying circuit are combined, the multiple power converter units operate in an interleaving parallel mode, and voltage multiplication is achieved through the voltage doubling rectifying circuit. Compared with a traditional rectifier, the technology can effectively reduce the voltage stress of a power device, the input current THD and the size of an EMI filter through staggered parallel operation of a plurality of power converter units, thereby improving the overall performance and reliability of a system. Meanwhile, the voltage doubling rectifying circuit can be designed and adjusted according to requirements so as to adapt to different input and output voltage requirements.

The invention discloses a preparation method and application of composite nanoparticles with a gold-silver core-shell structure, and aims to solve the problems that silver halide precipitates are generated on the surface of a silver core and the silver core is etched in the prior art. The thiourea solution is used for replacing a halogen-containing reagent, uniform epitaxial growth of gold on the surface of the silver core is mildly achieved, the gold-shell silver-core nanoparticles which are evenly wrapped and stable in structure are prepared, and the gold-shell silver-core nanoparticles are suitable for the fields of immunodetection and the like and are good in color development effect and low in cost. The method comprises the steps of preparing a gold salt solution, preparing gold nano-seeds, preparing silver nano-cores and generating gold-shell silver-core nano-particles through a chemical reduction reaction, and the problem that a core-shell structure grows unevenly is solved. When the method is applied to immunodetection, the material cost can be remarkably reduced, and a better color development effect can be achieved.

The invention belongs to the field of preparation of sedation maintaining agents, and particularly relates to a sedation maintaining agent administrated through oral mucosa and a preparation method of the sedation maintaining agent. Bamboo leaf polysaccharide and pigskin collagen peptide are heated and mixed with chlorogenic acid and butyl acetate under the catalytic action of lanthanum nitrate, and the obtained moisturizing adhesive has biocompatibility, can be stably adhered to oral mucosa and can promote salivary secretion of children; nanoparticles obtained through freeze spray drying are uniformly dispersed in a copolymer solution containing sodium salicylate and polyacrylate, and the obtained nervous system regulator can balance excitability of sympathetic nerves and parasympathetic nerves of children; the emotion relieving composition contains modified felwort powder obtained through esterification reaction, the modified felwort powder is mixed with a moisturizing adhesive and a nervous system regulator, and the prepared sedation maintaining medicament administrated through the oral mucosa protects oral health of children in the oral operation anesthesia process, is free of irritation, improves anxiety emotion and does not affect postoperative awakening.