59results about How to "Break through dependence" patented technology

The invention relates to the field of financial science and technology speech conversion, and discloses a speech synthesis method, device and equipment based on a conditional matching stream and a medium, and the method comprises the steps: preprocessing an input text, and converting the input text into an embedded vector; based on a stream matching model, the input text is combined with the embedded vector and mapped to the intermediate representation space, and the input text in the intermediate representation space gradually generates speech spectrum features; on the basis of a zero sample learning mechanism, generating a voice spectrum meeting requirements from the voice spectrum features; and restoring the voice spectrum into a voice signal and outputting the voice signal. By introducing a stream matching model and a zero sample learning mechanism, speech with emotions or a specific style can be directly generated without emotional data training, the dependence of a traditional speech technology on large-scale data with emotional labels is broken through, and the application range of the speech technology is greatly expanded. The method is applied to application scenes such as financial science and technology voice conversion.

The invention discloses an intelligent elevator maintenance method, device, equipment and system based on artificial intelligence. The elevator DTU terminal collects information, uploads the information to the intelligent maintenance system and pushes the information to the elevator large model, the diagnosis model polls and positions an elevator and a project needing to be maintained according to data, the task model determiner generates a task and instructs the automatic programming model to generate a plug-in, and the maintenance personnel completes maintenance and uploads data according to the prompt of the mobile phone client. And cases are generated after evaluation and scoring of the effect evaluation model and stored in the maintenance case model, and if the cases are qualified, the elevator health degree is reset. According to the system, self-developed key technologies such as automatic programming and elevator large model building are utilized, intelligent maintenance and knowledge sharing are achieved, maintenance quality and standard unification are improved, many defects of a traditional elevator maintenance mode are effectively overcome, elevator maintenance efficiency, quality and safety are improved, reliable operation of an elevator is guaranteed, and intelligent development of the elevator maintenance industry is promoted.

The invention belongs to the field of medical data processing, and particularly relates to an epileptic seizure prediction method based on a lightweight deep statistical model, and the method specifically comprises the following steps: preparing a data set: preparing a CHB-MIT data set, the first 70% of which is used for label generation and network training; the last 30% of the CHB-MIT data set is used for final model testing; and S2, constructing a mixed data enhancement model. According to the method, a mixed data enhancement model including non-stationary data segmentation, low-response data rejection and random channel replacement designed by the invention is established; a depth statistical model comprising a statistical model and a neural network structure is constructed; a simple and efficient neural network is designed, a complete network fully-supervised training framework is closed to enable the network to be successfully converged, and a new loss function and evaluation indexes are designed; the efficiency and accuracy of an epileptic seizure prediction model are improved, and the problems that training data is insufficient and a traditional machine learning epileptic seizure prediction method is unstable are solved.

The present invention discloses a high spectral efficiency and low power consumption joint channel coding modulation optical communication method and system, and relates to the field of high-speed optical fiber communication technology. It includes a data acquisition step, a symbol multiplexing joint channel coding modulation step, a signal light transmission step, a channel equalization step, and a symbol demultiplexing step. The present invention aims to improve the problems of relative independence of forward error correction channel coding FEC and high-order modulation function modules in optical transmission, dependence on FEC long code length, limited spectrum efficiency improvement under the limitation of optical fiber nonlinear effects, and high FEC decoding delay and power consumption, which is beneficial to improving the spectrum efficiency and capacity of coherent optical transmission systems and optimizing system delay and power consumption.

The invention relates to the technical field of disaster early warning processing, in particular to a mountain torrent disaster early warning system based on deep learning and air-space-ground integrated perception. The system comprises the following modules: a space-air-ground sensing module, an edge calculation preprocessing module, a deep learning prediction module and an intelligent decision and early warning module. Wherein the air-space-ground sensing module is used for collecting multi-source data; wherein the multi-source data comprises earth surface deformation data obtained through a spaceborne synthetic aperture radar, high-precision topographic data obtained through an unmanned aerial vehicle laser radar, hydrological sensing data obtained through a ground internet-of-things distributed sensor, and meteorological numerical forecasting data obtained through a meteorological data interface. Through air-space-ground integrated perception, physical constraint deep learning and edge intelligence technologies, mountain torrent multi-source data collaborative acquisition and accurate mountain torrent disaster prediction are realized, so that the comprehensiveness, reliability and timeliness of mountain torrent disaster early warning are improved.

The application discloses a novel full-line fast distance protection method under a power system, which comprises the following steps: S1, continuously monitoring the voltage and current on one side of the line, and starting the protection when detecting that the current mutation variable exceeds a set threshold; S2, establishing an accurate line differential equation based on a pi type equivalent model; S3, constructing the differential equation in the time domain by using the collected voltage and current data, and directly and real-timely solving the equivalent transition resistance of the fault point; S4, establishing a relationship model of the additional measurement impedance and the equivalent transition resistance, accurately compensating the apparent impedance measured by the protection device, and accurately calculating the real distance from the protection installation to the fault point; and S5, comparing the calculated fault distance with a preset protection section, and realizing the fast isolation of the fault; the application has the advantages of weak feed adaptability improvement, strong anti-transition resistance capability, long line anti-maloperation optimization and fast action speed, and can provide effective technical support for the main protection configuration of new energy sending-out lines and high-proportion power electronic power grids.

The invention belongs to the field of ecological system carbon circulation, particularly relates to a time sequence-oriented carbon release scene dynamic forward modeling method and system, and aims to solve the problems that detail changes cannot be grasped, mixed release of multiple carbon sources cannot be recognized and the forward modeling frequency is limited during existing carbon release scene forward modeling. The method comprises the following steps: selecting a target curve and determining a potential carbon source; identifying potential fluctuation of the target curve and dividing stages; generating a carbon release mode in each stage based on a random sampling method, and inputting the carbon release mode into the carbon cycle model for simulation; and calculating an error and screening an optimal carbon release mode. According to the method, multiple carbon release modes can be efficiently generated, the coverage range of extreme conditions and complex carbon release scenes can be expanded, high-precision simulation can be realized, and the dynamic evolution process of the complex carbon release scenes can be further optimized.

The utility model relates to a greening structure suitable for a steep soil slope. The method is suitable for the technical field of slope greening engineering. According to the technical scheme, according to the greening structure suitable for the steep soil slope, the surface of the steep soil slope is excavated to form a slope protection construction face, the slope protection construction face is covered with a slope protection structure, and the greening structure comprises drainage holes which are drilled in a slope body of the steep soil slope, and the multiple drainage holes are arranged at intervals in a multi-layer mode along the slope face of the slope; the planting holes are drilled in the slope surface of the steep soil slope, the multiple planting holes communicate with the multiple drainage holes in a one-to-one correspondence mode, and the ends, away from the drainage holes, of the planting holes penetrate through the slope protection structure; the planting tanks are arranged in the planting holes, are used for planting green plants and can discharge excessive water inside; and the drainage floral tube is arranged in the drainage hole and can collect surplus water in the slope body and guide the water into the planting tank so as to irrigate green plants.

This invention discloses an online inspection device and method for the light conversion film of photovoltaic modules. The online inspection device includes a conveyor roller, an inspection cover, multiple top excitation light source units, multiple top signal acquisition units, multiple edge excitation light source units, multiple edge signal acquisition units, and a processing unit. The conveyor roller is used to transport photovoltaic modules along a first horizontal direction; the inspection cover has an openable and closable inlet / outlet on its side wall along the first horizontal direction; the top excitation light source units and top signal acquisition units are both located on the top inner wall of the inspection cover and are used to project a first wavelength of light onto the photovoltaic modules inside the inspection cover; the edge excitation light source units and edge signal acquisition units are both located on the inner side wall of the inspection cover along a second horizontal direction and are used to collect the second wavelength of light projected by the photovoltaic modules inside the inspection cover. This online inspection device achieves accurate inspection of non-transparent photovoltaic modules without blind spots, breaking through the dependence of traditional through-type inspection on transparent photovoltaic modules.

The invention provides a Hall memristor based on an aged insulator and storage and calculation integrated computing equipment, and the method comprises the steps: firstly, through symmetry engineering design, employing a quasi-two-dimensional aged insulator which breaks the central symmetry and rotational symmetry, supporting a quantum abnormal Hall state at the same time, and generating track magnetization and the coupling of an in-plane electric field and out-of-plane magnetization; secondly, a quantum geometric mechanism is introduced into the quantum Hall state without the Fermi surface, intrinsic track magnetoelectric coupling is achieved, and the dependence of a traditional mechanism on the Fermi surface is broken through; and the domain wall is directly driven by the in-plane electric field to move to realize magnetization overturning, so that the participation of body current is avoided, and the energy consumption is remarkably reduced. And finally, the device combines the overturning of the magnetic state with the hysteresis behavior of the Hall resistor, and the inherent non-volatility and memory characteristics of the device provide a key device basis for constructing novel calculation hardware integrating storage and calculation.

The invention discloses a Tibetan type cultural creative graph automatic generation method and system based on artificial intelligence, and relates to the field of Tibetan type cultural creative graphs, and the method comprises the steps: carrying out the semantic analysis of a natural language description, and extracting a feature vector and a core keyword of a user intention; constructing a Tibetan culture symbol gene pool; based on the vector similarity, an initial culture symbol set conforming to the design intention of the user is screened out; eliminating symbol combinations with culture conflicts, and recommending symbol combination schemes conforming to culture specifications; extracting the shape feature of each symbol as an invariant constraint, and generating a symbol graph set after shape self-adaptive adjustment; and based on the diffusion model framework, generating a final Tibetan cultural and creative pattern. And outputting a structure report of the current Tibetan cultural and creative pattern according to the generated Tibetan cultural and creative pattern. The method has the advantages that natural language description can be automatically converted into Tibetan cultural and creative patterns conforming to culture specifications and aesthetic requirements, and deep fusion of culture inheritance and intelligent generation is achieved.

This invention relates to the field of wireless communication signal processing technology, and particularly to an interference cancellation method and device based on a convolutional neural network. The method involves receiving a raw radio frequency (RF) signal, converting it into a baseband in-phase quadrature signal, buffering the baseband in-phase quadrature signal into a sequence of preset length, inputting it into a pre-trained lightweight one-dimensional convolutional neural network, and outputting an interference modeling signal. The baseband in-phase quadrature signal is subtracted from the interference modeling signal to obtain a useful signal after interference cancellation. This useful signal is then converted into an RF transmission signal and transmitted, yielding the transmitted RF signal. Based on the transmitted RF signal, the current interference cancellation performance is evaluated. This enables high-precision automatic modeling and cancellation of interference signals in complex time-varying channels, improving the robustness and generalization ability of interference cancellation.

This invention discloses a short-window gamma-gamma turbulence parameter prediction method for space-to-ground laser communication, belonging to the technical field of space-to-ground laser communication and atmospheric turbulence channel parameter prediction. This method addresses the problems of traditional methods, such as strong dependence on long observation windows, significant degradation in prediction accuracy under short-window scenarios, and insufficient robustness under low signal-to-noise ratio conditions. It establishes a short-window observation model for the space-to-ground optical link and a gamma-gamma channel statistical model, constructs time-dependent short-window training data, and designs a short-window gamma-gamma network. Temporal features are extracted through a convolutional backbone, and a scintillation exponential physical regularization auxiliary head is used to achieve joint parameter prediction under physical constraints, outputting predicted gamma-gamma distributed parameters. This method can achieve high accuracy and good stability in parameter prediction under short observation windows and low signal-to-noise ratio conditions, and can be used for turbulence channel state characterization at the space-to-ground laser communication receiver.

The invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.

The invention discloses a Dean flow sorting device and method for on-line quantitative detection of cow's milk somatic cells, and belongs to the technical field of microfluidic cell detection. The device comprises a real-time cow milk sample collection unit, a sample inlet throttle valve, a Den flow micro-fluidic chip, a somatic cell enrichment milk sample outlet throttle valve, a somatic cell deficiency milk sample outlet throttle valve, an enrichment sample impedance detection unit, a deficiency sample impedance detection unit, a data processing unit and an online display unit. Interference suppression is realized by utilizing a sorting function of a Den flow micro-fluidic chip, somatic cells in cow milk are separated from other components, interference of complex conditions such as ion components in cow milk, environment temperature and the like on impedance data is effectively eliminated through comparative detection of somatic cell enrichment samples and somatic cell deletion samples, and the accuracy of a detection result is ensured.

This invention relates to the field of marine engineering material preparation technology, and particularly to an eco-friendly marine engineering material and its preparation method. The preparation method includes: leaching waste concrete fine powder with ammonium chloride solution to dissolve calcium ions, separating the calcium ion solution and the leachated waste concrete fine powder; mixing waste concrete aggregate, sea sand, and the leachated waste concrete fine powder to prepare a porous framework; mixing urea, reactive bacteria, calcium ion solution, and seawater to obtain a reaction solution; the reactive bacteria include urease hydrolyzing bacteria and carbonic anhydrase bacteria; injecting the reaction solution into the porous framework, and mineralizing the porous framework in a carbon dioxide gas environment to obtain the eco-friendly marine engineering material. This invention breaks through the dependence of traditional cementitious materials on cement, achieving the synergistic development of construction solid waste resource utilization and green marine engineering.

The present application relates to the technical field of engineering machinery, and provides a centering steering system, a front steering axle, a rear steering axle, a switching valve assembly and a steering gear, the front steering axle is connected with a first reversing valve and a second reversing valve for changing the flow direction of hydraulic oil into and out of first and second oil cylinders, the rear steering axle is connected with a third reversing valve and a fourth reversing valve for changing the flow direction of hydraulic oil into and out of third and fourth oil cylinders, the switching valve assembly is connected with a hydraulic pump for providing a hydraulic oil source for centering and locking the front steering axle or / and the rear steering axle at an execution inlet end, the switching valve assembly is electrically connected with an electric controller for switching the hydraulic pump and the front steering axle or / and the rear steering axle on at a control end, and the steering gear provides hydraulic oil for driving the front steering axle or / and the rear steering axle to steer, through the arrangement of the switching valve assembly and the steering gear, the limitation of traditional steering systems on relying on sensors and complex programming is broken through, and low-cost, high-precision and high-reliability steering control is realized.

The utility model provides a kind of temporary lifting alternative device of hoist for small space cantilever working condition, including through core jack, finished rolling threaded steel, steel wire rope, cantilever distribution beam and transverse distribution beam, the tail of two cantilever distribution beams is inserted in dam top, the front fulcrum of cantilever distribution beam is fixed on the embedded part A of dam edge, transverse distribution beam is fixed between two cantilever distribution beams corresponding gate position, jack support is fastened on transverse distribution beam by anchor, through core jack is fixed on jack support, finished rolling threaded steel is connected with the telescopic end at the center of through core jack, finished rolling threaded steel is connected with steel wire rope by connecting piece after passing through jack support and transverse distribution beam downwards, and steel wire rope is connected with gate below.This utility model reduces 80% of installation area, and the amount of steel structure is reduced by 60%, breaks through the dependence of traditional hoist on fixed base and large installation field, and cantilever structure realizes gate suspended accurate lifting.

The present application relates to the technical field of molecular retrosynthesis prediction, and discloses a kind of molecular retrosynthesis prediction method and system based on multi-step information fusion.The present application is directed to the problem that the existing single-step prediction model only relies on the current molecular structure characteristics and lacks the synthesizability guidance at the multi-step path level, the method first uses knowledge graph embedding to model the semantics of single-step reaction;Then a directed graph of multi-step reaction is constructed, and a relational graph convolution network is used to aggregate neighbor information to generate path fusion features;Finally, in the decoding stage of the prediction model based on the Transformer architecture, the path fusion features are introduced, and the dynamic interaction between the path fusion features and the current synthesis path encoding features is realized through an external attention mechanism, and the global synthesizability information is injected into the generation process of the reactants. The method can fully utilize the context constraints of the synthesis path and the prior knowledge of chemical reactions, significantly improving the accuracy of the retrosynthesis path prediction and the landing feasibility of the final route.

The utility model relates to the technical field of metering calibration, in particular to a metering calibration adaptation device which comprises a protective shell, a screen groove is formed in one side of the top end of the protective shell, a display screen is arranged in the screen groove, a protective cover is installed on the side, away from the display screen, of the protective shell through bolts, and the protective shell and the protective cover are assembled to form a cavity and provided with a detection assembly. An exhaust connector is installed on the side, away from the display screen, of the protective shell in a penetrating mode, a switch is fixedly installed on the side, adjacent to the exhaust connector, of the protective shell, and a wiring slot is installed on the side, adjacent to the switch, of the protective shell in a penetrating mode. A traditional multi-device calibration process is integrated into a portable device, the operation complexity is reduced, the efficiency is improved, meanwhile, a lightweight protective shell and an integrated layout are adopted, pressure adjustment, data acquisition and power supply units are highly integrated, calibration can be achieved without external connection, environmental dependence is broken through, and the mobile scene operation requirement is met.

The invention discloses a single-pixel imaging method and device based on a spatial light modulator and a light scattering effect, and belongs to the field of imaging detection, and the single-pixel imaging method comprises the following steps: modulating an ultraviolet laser beam to obtain a four-step phase shift sine speckle pattern; irradiating the four-step phase-shift sine speckle pattern on a target object and scattering the four-step phase-shift sine speckle pattern by a scattering medium in the air to obtain light intensity information; processing the light intensity information to obtain Fourier spectrum data; and reconstructing an image based on the Fourier spectrum data to obtain an image of the target object. According to the invention, the spatial light modulator and the scattering effect of light are utilized to realize single-pixel imaging in a non-reflecting-surface scene, so that the single-pixel imaging can be applied to an open non-line-of-sight scene.

The invention discloses a gas meter digital measurement uncertainty evaluation method based on deep learning, and relates to the field of metering, and the method comprises the steps: collecting verification data of a gas meter, carrying out the preprocessing of the verification data to obtain a known data set, and dividing the known data set into a training set and a verification set; training the deep learning model by using the training set and verifying by using the verification set; calculating the mean value and the standard uncertainty of the input quantity based on the known data set; in combination with the Monte Carlo method and the prediction uncertainty probability distribution of the model instance, calculating the probability distribution of the measurement through random sampling and probability propagation; based on the measured probability distribution, the measured mean value and the standard uncertainty are calculated, and evaluation of the digital measurement uncertainty of the gas meter is completed. The evaluation process is full-automatic, and subjective errors caused by manual introduction are avoided; and the requirements of measurement development planning are met, digital measurement construction is promoted, and verification credibility is improved.

This invention relates to the field of water treatment technology, specifically to a non-aeration, low-current-density electrocatalytic oxidation water treatment method and electrocatalytic membrane, comprising the following steps: S1, placing a cobalt phthalocyanine-functionalized carbon nanotube electrocatalytic membrane into a membrane module as the cathode of the electrocatalytic reaction device; wherein, the cobalt phthalocyanine-functionalized carbon nanotube electrocatalytic membrane is obtained by the following preparation method: carbon nanotubes are acid-washed, functionalized and modified, then composited with cobalt phthalocyanine and calcined, then mixed with a polyvinyl alcohol solution and sprayed onto a base membrane material and crosslinked; S2, connecting the positive and negative electrodes of a power supply to the counter electrode and cathode respectively, and transporting the water sample to be treated into the electrocatalytic reaction device, controlling the current density ≥ 0.15 mA / cm². 2 No aeration is required during the treatment process. The electrocatalytic oxidation water treatment method of this invention is applicable to a wide range of water qualities and can stably treat novel antibiotic pollutants by generating hydroxyl radicals to achieve the oxidative degradation of pollutants.

The utility model discloses a melon interspecific hybrid tissue culture seedling domestication device relates to plant seedling domestication device technical field. Its structure includes nutrient solution groove, matrix groove, double -deck light -transmitting light -supplementing cover and ventilation adjustment assembly, and the matrix groove is installed in the nutrient solution groove, and ventilation adjustment assembly is installed on the nutrient solution groove and matrix groove, and ventilation adjustment assembly divides matrix groove and is divided into a plurality of seedling domestication area, and every seedling domestication area installs a double -deck light -transmitting light -supplementing cover. The utility model discloses through double -deck light -transmitting light -supplementing cover and temperature feedback system realizes environment accurate control, adopts M shape cotton line, filter cotton section constructs microcirculation nutrition supply system, and combines the partition formula modular design and promotes space utilization rate and operating efficiency, and the device is verified through the test, can make interspecific hybrid domestication survival rate to improve, and domestication period shortens, provides efficient technical solution for melon interspecific hybrid breeding.

The invention provides a pipeline leakage detection listening device, which comprises a pickup rod, a steering gear, a sound transmission rod, an analysis terminal and an earphone, and is characterized in that the sound transmission rod is fixedly connected with the steering gear, the pickup rod is rotatably connected with the steering gear, the earphone is electrically connected with the analysis terminal, and the pickup rod comprises a pickup sensor; the analysis terminal is configured to receive the audio acquired by the pickup rod, analyze the audio, generate a sound spectrum and a dynamic schematic diagram of the virtual pipeline and display the sound spectrum and the dynamic schematic diagram; the analysis terminal is used for carrying out noise reduction processing on an original audio, and splitting the original audio after noise reduction into a plurality of frequency divisions according to a preset frequency interval; screening a target frequency division which is not adaptive to the known frequency spectrum from the plurality of frequency divisions, and if the target frequency division is not found, displaying that leakage does not occur; and finally calculating the position or direction of the leakage point and the distance between the leakage point and the detection point. According to the invention, a wider detection range is taken into account, the limitation of noise interference and users is broken through, and the detection accuracy and practicability of the detection listening device are improved.

This invention relates to the fields of biomedical imaging and spatial metabolomics, specifically to a method and system for registering spatial metabolomics images with HE-stained images. The method includes the following steps: acquiring two adjacent frozen sections of the same tissue sample; performing image preprocessing using the frozen sections; obtaining the extraction and matching results of key point features in the images; performing rigid image registration and obtaining a rigid registration result; performing non-rigid image registration and obtaining a non-rigid registration result; and obtaining the spatial location information of the spatial metabolic imaging using the non-rigid registration result. This invention, by combining advanced image processing technology and machine learning algorithms, automatically registers metabolic imaging images with HE-stained images, significantly improving registration accuracy and efficiency. It effectively solves the problems of large errors, low efficiency, and strong operational dependence in existing manual registration methods, meeting the needs of high-throughput, high-precision spatial metabolomics analysis and supporting large-scale data processing.

The application discloses a surgery room infection management system based on big data, which comprises a data acquisition module, a preoperative surgery room infection risk assessment module, an intraoperative surgery room infection dynamic monitoring module, a postoperative surgery room infection terminal assessment module and a surgery room infection intelligent management module. The application relates to the technical field of data processing, in particular to a surgery room infection management system based on big data. The application innovatively combines preoperative, intraoperative and postoperative surgery room infections to realize dynamic monitoring and whole-process control. The application introduces a segmented convergence factor and an iterative level reverse learning optimization population strategy to improve the optimization algorithm, thereby improving the model hyperparameter optimization precision and the accuracy of model output results. The application designs a bidirectional convolution path, combines a gated recurrent unit and simultaneously adopts a model semi-supervised loss function with a supervised loss, a consistency regularization loss and a pseudo label loss, thereby significantly improving the precision and real-time performance of the monitoring model.

This invention discloses a biomarker combination, a test kit, and their applications for assessing ovarian reserve function. The biomarker combination includes the protective biomarker melatonin, dehydroepiandrosterone sulfate, and the damage biomarker 8-hydroxydeoxyguanosine. A protection-damage balance system is constructed to differentiate between physiological and pathological ovarian reserve decline. The test kit contains a saliva sampling component, a pretreatment solution, a lateral chromatography test strip, and an age-stratified colorimetric card. The test strip has three test lines and one control line, simultaneously detecting the three indicators using a colloidal gold method. The test involves morning fasting sampling, pretreatment to remove interference, color development, and comparison with the age-stratified colorimetric card, outputting three types of results: age-consistent, physiological decline, or pathological decline. This enables non-invasive, instrument-free, and visually interpretable home testing, solving the problems of high invasiveness, high platform dependence, difficulty in eliminating age interference, and unintuitive results in existing technologies.

The invention belongs to the technical field of negative ion coatings, and particularly relates to a graphene negative ion coating which comprises the following raw materials in percentage by weight: 15-25% of titanium dioxide, 4-6% of kaolin, 10-20% of high-calcium powder, 20-40% of natural resin emulsion, 1-2% of tourmaline, 1-2% of cryolite powder, 25-30% of water and 1-2.5% of single-layer graphene solution.

The utility model discloses a mosquito killer lamp of many energy paths, including main part structure, charging system, mosquito killer, safety device and collection device, charging system includes solar photovoltaic board, external power source interface and energy storage battery, and solar photovoltaic board, external power source interface are connected with energy storage battery electricity respectively, mosquito killer includes light source module and power grid component, and light source module and power grid component are connected in main part structure, and light source module is located in the inside center of power grid component, and light source module is used to send light ray and attract mosquito, and power grid component is used for electric shock and kill, safety device surrounds mosquito killer, and forms the physical isolation barrier, collection device is detachably installed in the bottom of main part structure, and is used for concentrating mosquito debris, through the double path cooperation mechanism of solar energy and commercial power, break through the dependence of traditional equipment to single energy, both solve the power supply interruption problem in the rainy environment, and reduce user's electricity cost, realize "uninterrupted mosquito killer" from the energy logic level.