37results about How to "Efficient dissemination" patented technology

The invention discloses an enterprise-level knowledge base construction method based on a large model. The enterprise-level knowledge base construction method comprises the following specific steps: acquiring original data of an enterprise and preprocessing the original data to obtain first target data; performing knowledge extraction and representation based on the first target data to obtain second target data; based on the random-degree large model and the second target data, performing knowledge graph construction and storage to obtain an enterprise-level knowledge base; performing knowledge retrieval and recommendation on the enterprise-level knowledge base by using a modular retrieval enhancement generation method; and periodically updating and maintaining the enterprise-level knowledge base. According to the method, keywords and concepts in various knowledge carriers such as internal documents, reports and communication records of enterprises can be automatically identified based on the strong analysis capability of the random-degree large model, and automatic association among knowledge elements is realized; the enterprise-level knowledge base is quickly constructed, the knowledge base is periodically updated and maintained in time, the content of the enterprise-level knowledge base is enriched, and a foundation is laid for subsequent enterprise knowledge search.

The invention provides a multi-modal sentiment analysis method and system based on attention and graph enhanced text, and belongs to the technical field of multi-modal sentiment analysis. The method comprises the steps of obtaining text features, image features and voice features in video data and performing preprocessing; an adaptive cross-modal interaction module is adopted to calculate attention weights between the text features and the image features and between the text features and the voice features, and enhanced text features are obtained; inputting the enhanced text features into a hierarchical multi-modal graph fusion network, and constructing an adjacent matrix by using a self-attention mechanism; inputting the adjacent matrix and the enhanced text features into a jump connection graph convolutional network to obtain a final feature matrix; and combining the feature matrix with the adjacent matrix, and obtaining a prediction result of sentiment analysis by using an encoder and a classifier. The problem of deficiency in context alignment among different modes is solved, and emotion polarity prediction is performed more comprehensively and accurately.

The invention belongs to the field of artificial intelligence and finance, and relates to a personalized copywriting generation method, which comprises the following steps: classifying all customers according to historical customer feature data to obtain different customer groups, obtaining copywriting keyword combinations of the customer groups according to historical copywriting of each customer group, and generating personalized copywriting keywords of the customer groups according to the copywriting keyword combinations; and constructing a customer group portrait according to the customer group characteristics and the customer group document keyword combination, matching a target customer group portrait according to the customer characteristics of the target customer, and generating a product recommendation scheme according to the customer characteristics and the target customer group portrait through a product recommendation model. And generating a personalized copywriting according to the customer features, the customer group portrait features and the product recommendation scheme through the copywriting generation large model. The invention further provides a personalized copywriting generation device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and historical customer feature data can be stored in a block chain. According to the invention, the client can be accurately positioned, and the generated copywriting can be accurately put.

The invention discloses an organization internal communication efficiency improvement method based on social network analysis. The method comprises the following steps: S1, collecting internal communication data of an organization; s2, preprocessing and standardizing the collected data; s3, constructing a communication network graph, and identifying communication frequency and intensity; s4, identifying communication bottlenecks and key nodes in combination with a social physics model and a graph attention network; s5, introducing a network fluid dynamic model and a swarm intelligence method to optimize a communication strategy; s6, continuously optimizing the network structure based on an adaptive optimization method and a context awareness technology; and S7, generating personalized communication optimization suggestions, and dynamically displaying communication network changes. According to the invention, the communication efficiency and decision-making ability in the organization are effectively improved.

The invention provides a multi-source software-defined science and education resource recommendation method and system based on a knowledge graph, and the method comprises the steps: constructing an artificial intelligence knowledge graph based on the relation between artificial intelligence knowledge entities; obtaining science and education resource data of a science and education institution, extracting knowledge entities in the science and education resource data, and connecting the knowledge entities to the artificial intelligence knowledge graph to obtain a science and education resource knowledge graph; extracting local resource features / user features based on a graph neural network to obtain local resource features and user features of each client; constructing a local knowledge graph based on the science and education resource knowledge graph, and performing model training by taking the local resource features of each client as initial features until the model converges; and inputting the users and the resources into the graph neural network for prediction, and recommending the resources with high scores to each user. According to the scheme, the relationship between knowledge entities in the field of artificial intelligence is effectively extracted, a structured knowledge graph is formed, and the recommendation precision is improved.

The invention discloses an intelligent evaluation method for an ideological and political education effect, which comprises the following steps of: firstly, capturing data for spreading ideological and political education contents from a plurality of new media platforms by using a web crawler, storing the data in a local database, and then preprocessing the data; constructing an ideological and political education effect evaluation model, and performing quantitative evaluation on the ideological and political education effect of the preprocessed data by using machine learning and natural language processing technologies based on multi-dimensional indexes; and finally, analyzing and visually displaying the evaluation result of the data, and comprehensively judging the spreading degree of the ideological and political education according to the quantitative evaluation result of the ideological and political education effect evaluation model. Through cross-platform data capture, big data analysis, sentiment analysis, deep learning and other methods, the ideological and political education effect under new media platform propagation is comprehensively and dynamically evaluated.

This invention discloses a hyperspectral image restoration method and system based on dual-enhanced low-rank tensor constraints, belonging to the field of image processing technology. The steps are as follows: S1: Acquire hyperspectral image data of the target area; S2: Image preprocessing to generate a test image; S3: Input the test image into a dual-enhanced low-rank tensor constraint model to obtain the restored image; wherein the dual-enhanced low-rank tensor constraint model includes a global prior learning module, a nonlocal prior learning module, and a prior integration module. The test image is first input into the global prior learning module to generate a global learning result, then the test image and the global learning result are input into the nonlocal prior learning module to generate a nonlocal learning result, and finally, the prior integration module performs prior weighted integration of the global and nonlocal learning results to obtain the restored image. The effect is that its performance is superior to other hyperspectral remote sensing image restoration methods, and it has a greater advantage in accurately estimating Earth monitoring data.

The utility model relates to the field of propaganda material, disclose a kind of foldable propaganda material show stand, including storage box, the sliding slot is opened in the storage box inner wall, the sliding block is slidably connected in the sliding slot inner wall, the folding frame is fixedly connected in the sliding block top, the lower display frame is hinged in the folding frame rear side bottom, the upper display frame is hinged in the folding frame front side top, the fixed display frame is fixedly connected in the sliding block front side, the box door is inserted in the storage box top inner wall, the folding frame top inner wall is elastically connected with limiting block by limiting spring. In the utility model, after the expansion of show stand, two groups of lower display frame, two groups of upper display frame and fixed display frame form three-dimensional multilayer display space, can simultaneously display poster, brochure, leaflet and other various forms of public health propaganda material, and the display amount of material is more than doubled than traditional plane show stand, which provides strong support for the effective dissemination of public health knowledge.

The application discloses a deep network structure abrasive plate joint detection method and system, and a built-in multi-dimensional adaptive feature enhancement module of the detection method, which comprises a multi-scale feature extraction unit, a channel adaptive attention unit, a spatial adaptive attention unit and a residual connection unit. The multi-scale feature extraction unit is responsible for capturing feature information under different granularities. The channel adaptive attention unit strengthens the expression of key feature channels through weight distribution. The spatial adaptive attention unit is used for highlighting the spatial region related to the abrasive plate joint in the feature map. The residual connection unit fuses the enhanced features and the original input, which not only guarantees the effective propagation of the gradient, but also simplifies the learning process of the model. Through the synergistic effect of multi-scale perception and channel spatial double attention mechanism, the module can effectively enhance the weak and irregular feature performance of the abrasive plate joint in the complex background, thereby significantly improving the recognition ability and robustness of the detection system.

The invention relates to the technical field of underwater target detection, and discloses a data acquisition method applied to underwater target side-scan sonar image detection, and the method comprises the steps: recognizing a detection region of an underwater target, and setting a sound wave transmission path of side-scan sonar equipment; identifying an echo signal of the underwater target, extracting signal intensity and delay parameters of the echo signal, and constructing an underwater two-dimensional image of the underwater target; performing quality optimization processing on the underwater two-dimensional image to obtain an optimized image, identifying signal receiving time and receiving position coordinates of the echo signal, and generating image paraphrases of the underwater target; identifying a non-target object of the side-scan sonar device, extracting key features of the non-target object, and setting a beam obstacle avoidance path of the side-scan sonar device; and setting a re-tracking mechanism of the underwater target, and performing data acquisition on the underwater target based on the re-tracking mechanism and the beam obstacle avoidance path to obtain a data acquisition result. According to the invention, the accuracy of underwater target data acquisition can be improved.

The utility model belongs to the technical field of buildings, and particularly relates to a prefabricated concrete block containing a wire box, a production mold of the prefabricated concrete block and a wall structure. And the electrical assembly is embedded in the building block main body. The prefabricated concrete block containing the wire box is manufactured by pouring the electrical component in concrete in advance, when the prefabricated concrete block is applied to a hollow brick wall, the situation that holes need to be drilled in the hollow brick wall when electrical facilities are installed in traditional construction is avoided, and therefore a channel where sound is directly transmitted through the holes is effectively blocked; the effective sound insulation area of the continuous wall is increased, sound is prevented from spreading through tiny gaps in the edges of the holes, and the overall sound insulation effect is improved. Meanwhile, the workload of on-site slotting and wiring is greatly reduced, the electrical installation process is simplified, and the overall construction progress is accelerated.

This invention discloses a composite weakening method for hard rock strata in deep coal seam mining, belonging to the field of deep coal seam mining technology. The method includes: first, before mining the working face, microwave radiation is directed onto the coal-rock interface as a preliminary rock mass modification step in the entire weakening system; then, through blasting unloading and stress fracturing steps, the fractures in adjacent blasting zones are connected to form a preliminary blocky collapse structure; finally, ultrasonic excitation is used to supplement, strengthen, and improve the effects of the preceding stages, forming a closed-loop hard rock strata weakening system. This invention achieves precise roof structure modification and energy-level control through the spatiotemporal synergy and technical coupling of four stages: microwave plasticization, blasting unloading, hydraulic fracturing, and acoustic modulation. This method avoids mine tremors induced by large-area overhanging roof fractures, shortens the periodic pressure step of the roof, reduces the rockburst energy index, and ensures the safety of deep coal seam mining.

The present disclosure provides laminated glass capable of well propagating light inside the laminated glass provided with a light-absorbing intermediate layer. This laminated glass is provided with: a first glass plate (11) having a first main surface (21) and a second main surface (22); a second glass plate (12) having a third main surface (23) and a fourth main surface (24); a light-absorbing intermediate layer (13) disposed between the first glass plate (11) and the second glass plate (12); and a light scattering region (15) disposed closer to the fourth main surface (24) than the light-absorbing intermediate layer (13). The light scattering region (15) scatters light (31) incident from the light source toward the fourth main surface (24). The refractive index difference between the light-absorbing intermediate layer (13) and a member in contact with the light-absorbing intermediate layer (13) on the fourth main surface (24) side is 0.05 or more, the visible light reflectance measured from the fourth main surface (24) side is 15% or less, and the visible light transmittance measured from the fourth main surface (24) side in a region other than the light scattering region (15) is 30% or less.

The invention relates to the technical field of gear tooth surface contact fatigue damage repair, in particular to a gear tooth surface contact fatigue damage repair device which comprises a pulse laser and a universal bamboo joint pipe, and a gear is driven by a driving component to rotate around the axis of the gear; a water outlet nozzle is fixedly arranged at the water outlet end of the universal bamboo joint pipe and provided with a front water outlet capable of discharging flat water flow. The pulse laser device and the universal bamboo joint pipe are driven by the same mechanical arm to move synchronously, so that laser beams emitted by the pulse laser device can form light spots on teeth of the gear, and the front water outlet extends into the position between every two adjacent teeth. The water outlet nozzle comprises a flat pipe, a flat drainage part and an elastic extrusion part. The water restraint layer can better restrain expansion of plasma, formed shock waves can be more effectively spread into the target material, the impact strength borne by the repaired position can be kept basically consistent, and the workpiece repairing effect is good.

The invention provides a surface acoustic wave gyroscope chip structure based on a graphene acoustoelectric effect, and relates to the technical field of semiconductor sensor chips, the surface acoustic wave gyroscope chip structure comprises a piezoelectric substrate, and a surface acoustic wave resonator and a surface acoustic wave detector which are arranged on the surface of the piezoelectric substrate, the surface acoustic wave resonator comprises two oppositely arranged driving interdigital transducers, a wave energy modulation area is arranged between the two driving interdigital transducers, a first surface acoustic wave reflecting grating is arranged on the outer side of each driving interdigital transducer, and the surface acoustic wave resonators are used for generating primary surface acoustic waves on the piezoelectric substrate through the driving interdigital transducers. Standing waves corresponding to the primary surface acoustic wave reflecting grating are generated on the first surface acoustic wave reflecting grating; the surface acoustic wave detector comprises two graphene piezoresistive strips which are symmetrically arranged on the two sides of the wave energy modulation area, and a second surface acoustic wave reflecting grating is arranged on the outer side of each graphene piezoresistive strip. According to the invention, the sensitivity and the signal-to-noise ratio of the surface acoustic wave gyroscope chip can be improved.

This application relates to a display panel, a backplane, and a display device. The display panel includes: a packaging structure and a driving backplane; the packaging structure includes: a first substrate, the first substrate including a first side and an opposing second side; a light-emitting unit disposed on the first side of the first substrate; a contact structure formed on the second side of the first substrate; the contact structure includes a plurality of concentrically arranged annular pins, the plurality of annular pins being connected to a plurality of pins of the light-emitting unit through a plurality of conductive vias in the first substrate; the driving backplane includes: a second substrate, one side of the second substrate having a plurality of first limiting portions; the second substrate having a first through hole in the axial direction of the first limiting portions; and first pad structures disposed within the plurality of first limiting portions and formed on the side of the second substrate near the first limiting portions. Using this display panel can reduce the difficulty of mass transfer of light-emitting chips.

The utility model discloses a road construction sound insulation wall which comprises stand columns, frames and sound insulation plates, bases are arranged at the bottoms of the stand columns respectively, installation holes are formed in the four corners of each base respectively, clamping grooves are formed in the middles of the left side and the right side of each stand column respectively, the multiple frames are arranged between the stand columns at equal intervals, and the sound insulation plates are arranged in the middles of the frames respectively. Silica gel pads are fixedly mounted at the bottom of the frame respectively, clamping units are symmetrically arranged at the left end and the right end of the frame up and down respectively, each clamping unit is composed of a rotating groove, two rectangular hole channels, a rotating block, a threaded rod and a clamping block, and the rectangular hole channels are symmetrically formed in the left end and the right end of the frame up and down respectively; according to the sound insulation wall for road construction, through the design of the clamping units, the auxiliary locking assemblies, the check blocks, the check strips and the lifting holes, rapid mounting and dismounting are achieved, and the construction efficiency is improved.

The utility model provides a loudspeaker with an additional heat dissipation structure, which comprises a magnetic conduction carrying component, a magnetic force driving component, a magnetic conduction matching component, an excitation stress component, a vibration sound production component, a sound production guide component and a driving heat dissipation component. Meanwhile, unnecessary vibration interference is reduced, a guide space is formed by a guide outer cylinder and a guide end of the sound production guide component, sound produced by the vibrating diaphragm is guided, directivity and distribution uniformity of the sound are improved, the sound is transmitted more intensively, and a heat dissipation cover ring of the driving heat dissipation component is made of a heat conduction material, so that heat dissipation efficiency is improved. The heat dissipation cover ring is arranged on the outer wall of the magnetic force driving component and connected to the outside of the driving magnetic ring, heat generated by the magnetic force driving component in the working process is effectively dispersed and released, the heat dissipation area is further increased through the heat dissipation ring groove formed in the outer wall of the heat dissipation cover ring, the heat dissipation efficiency is improved, and the stability and reliability of the loudspeaker in the working process can be kept.

The application provides a skeleton data action recognition method based on a multi-relation graph convolutional neural network, which extracts high-level features of skeleton data from different scales by considering human natural connection relations, symmetric relations and global cooperation relations, and effectively fuses the high-level features by a relation attention mechanism. In this way, the network pays more attention to key part information in different actions, and does not lose effective information of other parts. In order to solve the overfitting and oversmoothing problems commonly existing in the graph convolutional neural network, the application proposes a new regularization method: Drop-Relation. The traditional method often discards single graph nodes or block graph nodes, which cannot prevent the node information from continuing to spread in the graph. Drop-Relation makes the whole relation matrix inactivate, effectively prevents the information in the relation graph from spreading in the network, and can inhibit the dependency between relations, effectively alleviates the overfitting and oversmoothing problems of the graph convolution.

The present invention relates to the technical field of ventilation duct structures, and in particular to a ventilation duct connection structure for electromechanical engineering, comprising two groups of ventilation ducts, both opposite ends of the two groups of ventilation ducts being installed with fixed flanges, and further comprising a connection mechanism and a sound-absorbing and vibration-reducing mechanism, wherein the connection mechanism is arranged on the opposite side of the two groups of fixed flanges, and is used to connect the sound-absorbing and vibration-reducing mechanism with the two groups of fixed flanges. The present invention can achieve a soft connection between the two groups of ventilation ducts through the mutual cooperation of the connection mechanism and the sound-absorbing and vibration-reducing mechanism, and through the setting of the rubber vibration-reducing component, it can show good damping characteristics and vibration-absorbing capacity when the two groups of ventilation ducts vibrate, thereby achieving the effect of sound absorption and vibration reduction, thereby avoiding affecting the sealing of the ventilation duct, and through the setting of the transverse corrugated structure and the sinusoidal connection structure in the rubber vibration-reducing component, it can further reduce the propagation of noise, thereby avoiding harm to the physical and mental health of the staff.

The invention discloses a camouflage target detection network and method fusing hierarchical attention and feature refinement. The network comprises a feature extraction layer SMT, a hierarchical attention network layer TAN, a full-connection decoder module FCD and a feature refinement network layer FRN. The output of the feature extraction layer AMT is connected with the input of the layered attention network layer TAN, the output of the layered attention network layer TAN is connected with the full-connection decoder module FCD and the input of the feature refining network layer FRN, the output of the full-connection decoder module FCD is connected with the input of the feature refining network layer FRN, the output of the feature refining network layer FRN is used for outputting final prediction, and the output of the full-connection decoder module FCD is connected with the output of the full-connection decoder module FCD. The objective of the invention is to simultaneously solve the problems of incomplete detection result and too high calculation cost of an existing camouflage target detection method, and realize accurate positioning and fine segmentation of a camouflage object through effective aggregation and utilization of semantic and detailed information. The invention provides a camouflage target detection network and a camouflage target detection method fusing hierarchical attention and feature refinement.

The invention provides a vehicle-mounted refrigerator inner container and a preparation method thereof, materials for preparing the vehicle-mounted refrigerator inner container comprise matrix resin, a composite heat conduction agent, a reinforcing agent, a compatilizer, a lubricant and an antioxidant, the matrix resin comprises an acrylonitrile-butadiene-styrene copolymer, and the composite heat conduction agent comprises an acrylonitrile-butadiene-styrene copolymer. The composite heat conduction agent comprises carbon nanotubes, graphene and aluminum nitride. The composite heat conduction agent is added, the heat conduction coefficient of the inner container of the vehicle-mounted refrigerator is increased, heat conduction is facilitated, and therefore the refrigeration efficiency is improved, and energy is saved.

This utility model relates to the field of medical equipment technology, and in particular to a display screen assembly and a monitor. The display screen assembly provided by this utility model includes a first housing and a second housing arranged opposite to each other, a display screen body, an alarm light group, and a first lampshade. The second housing is connected to the first housing, and an installation gap is left between the second housing and the first housing. The display screen body is disposed on the side of the second housing away from the first housing. The alarm light group is disposed within the installation gap and includes a first lamp plate and a second lamp plate. The first lamp plate extends along the upper edge of the display screen body, and the second lamp plate extends along the side edge of the display screen body. The first lampshade is disposed at the installation gap and covers the outside of the first lamp plate and the second lamp plate. The display screen assembly provided by this utility model can realize multi-angle alarm observation, improve the visibility and reliability of alarm signals, and ensure that medical staff can detect alarm signals in a timely manner from different angles.

The invention discloses roof pretreatment equipment for waterproof treatment, and relates to the technical field of building construction, the roof pretreatment equipment comprises a controller, a grinding disc, a grinding column, a displacement hole, a back suction assembly, a backflow box, a water supply box, a water supply diversion pipe, a driving tile, a driving block and a wave guide block, a high-frequency back-and-forth rotation mode is adopted, and the driving block alternately stretches out and draws back to push the driving tile to rotate; an intelligent control system can automatically adjust parameters according to real-time detection results, the grinding quality is further improved, the equipment is provided with a water circulation system, cyclic utilization of water flow is achieved, dust generated in the grinding process is wetted and taken away, and dust flying is prevented. The noise in the grinding process is reduced, the flexible material shell absorbs part of vibration, the device is suitable for being used in the environment sensitive to noise, the driving block generates ultrasonic waves through high-frequency vibration, the grinding effect is monitored in real time, and the surface flatness and whether defects such as cracks exist or not are evaluated.

The utility model belongs to the technical field of biological prevention and control, and discloses insect release equipment for biological prevention and control, which comprises a mounting rod, a mounting box and a separation assembly, the mounting rod is fixedly mounted on the ground; the mounting box is connected to the mounting rod and is used for storing insects; the separation assembly comprises a fixed baffle, a first driving part, a take-up ring, a pull rope and a movable baffle, the fixed baffle is connected to the inner wall of the mounting box, the first driving part is connected to the top of the mounting box, the take-up ring is connected to the first driving part, the pull rope is connected to the take-up ring, and the movable baffle is connected to the pull rope. Through the arranged separation assembly, insects can be moved to the right side area from the left side area of the mounting box, then germs in the right side area are attached to the body surfaces of the insects, manual intervention operation is avoided, and the working efficiency is improved.

The utility model discloses a kind of oblique image zoom lens and anterior segment parameter measurement system, oblique image zoom lens includes: front fixed group, moving group and rear fixed group are sequentially arranged along light incident direction;Wherein, the front fixed group includes first lens and second lens sequentially arranged along the light incident direction;The moving group includes third lens;The rear fixed group includes fourth lens, cementing mirror group and fifth lens sequentially arranged along the light incident direction.The oblique image zoom lens and anterior segment parameter measurement system of the utility model can provide suitable optical zoom condition for anterior segment parameter measurement of different depth eye socket, can realize clear imaging to different depth eye socket, can make anterior segment and lens optical axis not perpendicular state, light still can be efficiently, correctly spread and focus, greatly widen the application range and operation convenience of measurement, powerfully promote the development and application of ophthalmic imaging technology in different eye socket population detection aspect.

The present invention discloses a method for semantic segmentation of indoor scenes based on an improved full convolutional neural network. First, a convolutional neural network is constructed, wherein the hidden layer includes 5 neural network blocks, 5 feature re-extraction convolutional layer blocks, 5 block attention convolutional blocks, 12 fusion layers, and 4 upsampling layers; the original indoor scene image is input into the convolutional neural network for training to obtain a corresponding semantic segmentation prediction map; then, the loss function value between the set consisting of the semantic segmentation prediction map corresponding to the original indoor scene image and the set consisting of the one-hot encoded image processed from the corresponding real semantic segmentation image is calculated to obtain the optimal weight vector and bias term of the convolutional neural network classification training model; the indoor scene image to be semantically segmented is input into the trained convolutional neural network classification training model to obtain a predicted semantic segmentation image. The advantage of the present invention is that the semantic segmentation efficiency and accuracy of indoor scene images are improved.

The invention provides a non-contact pharmacy dispensing window conveying device, and relates to the technical field of medical isolation equipment. Comprising an isolation plate, an outlet is formed in the isolation plate, and an isolation box is arranged on the outer side of the isolation plate; one end of the isolation box is connected with the outlet, an opening and closing door is arranged at the other end of the isolation box, and an isolation door is arranged at the outlet; an air opening is formed in the top of the isolation box, a fan is arranged at the air opening, and the fan is provided with an air purification pipeline; compared with the prior art, the device is simple in structure, convenient to use and suitable for being used in areas with high infectivity such as fever outpatient service, bacteria and viruses are effectively isolated, and cross infection of personnel and spreading of pathogenic microorganisms in the medicine dispensing and conveying process are avoided.

The invention discloses a terahertz shielding device and a preparation method and application thereof, and belongs to the field of terahertz wave shielding materials. The preparation method comprises the following steps: fully mixing 100-105 parts by mass of hydroxyl silicone oil (PDMS-OH) and 20-25 parts by mass of hydrogen-containing silicone oil (PDMS-H) to obtain a premix, then fully mixing the premix with a Karstedt catalyst and 40-45 parts by mass of vinyl silicone oil (PDMS-Vi) to form a composite medium, and finally placing the composite medium in a mold for foaming and curing to obtain the terahertz shielding device. According to the terahertz shielding device, in the terahertz wave band range of 0.4-1.4 THz, the terahertz wave absorption rate exceeds 99.9%, the absorption shielding effectiveness exceeds 62.7 dB, and the reflection shielding effectiveness is lower than 0.01 dB. The invention has a wide application prospect in the systems of terahertz detection, terahertz communication, terahertz sensing and the like.

The present invention provides an air conditioner capable of preventing virus infection and a control method thereof, the method comprising: after the air conditioner is turned on, determining whether to enter a virus disinfection process, and if so, entering the virus disinfection process; selecting at least one of disinfectant disinfection, ultraviolet disinfection, and high-temperature disinfection; executing at least one of continuous disinfection, timed disinfection, and power on / off disinfection; and starting the air conditioner for virus infection disinfection; the air conditioner capable of preventing virus infection and a control method thereof described in the present invention can effectively kill viruses and suppress virus transmission for viral infectious diseases transmitted through the air during special epidemic periods, while meeting people's demand for the use of air conditioners.