759results about How to "Increase reflection" patented technology

The invention relates to the technical field of model construction, in particular to an obstetric delivery decision model construction method based on a knowledge graph. The method comprises the following steps that multi-dimensional information collection is conducted on a pregnant woman to be delivered, individualized data are obtained, and the multi-dimensional information comprises a medical record text, a laboratory examination result, an ultrasonic image and fetal heart rate monitoring data; performing standardization and structural processing on the individualized data to generate a standardized multi-modal data set; performing entity identification and relation extraction processing on the standardized multi-modal data set according to a preset obstetrical domain ontology model to obtain an initial knowledge graph; and carrying out priori knowledge-based mapping expansion on the initial mapping knowledge domain to obtain a multi-modal mapping knowledge domain. Through an attention mechanism and a decision support interface, the interpretability of the model is enhanced, and doctors can understand and trust decision suggestions.

The invention relates to a method for improving satellite data inversion soil salinity by using hyperspectral data of an unmanned aerial vehicle. The method comprises the following steps: collecting a soil sample in a test area, and calculating soil salt content; acquiring and preprocessing satellite remote sensing image data of a test area; storing data, outputting a single-band satellite image, and calculating a spectral index; obtaining and preprocessing hyperspectral image data of the unmanned aerial vehicle in the test area; reconstructing and upscaling unmanned aerial vehicle image data pixels to a spatial resolution of 10m; reconstructing the narrow-band spectral data of the unmanned aerial vehicle into broadband spectral data consistent with a satellite image, storing and outputting a single band, and calculating a spectral index; screening a soil salt content characteristic variable, and constructing a soil salt content inversion model by taking the screened characteristic variable as an independent variable and the actually measured soil salt content as a dependent variable; and fitting a function relationship between the upscaling unmanned aerial vehicle soil salt content inversion model and the satellite inversion model by adopting a numerical regression function method to realize correction of the satellite inversion model.

The invention relates to the field of image segmentation, in particular to a multi-modal nuclear medicine image segmentation method and system and a storage medium. Comprising the steps that image type classification is carried out on multi-modal medical examination images, focus area positioning is carried out, and CT (computed tomography) focus images and PET (positron emission tomography) focus images are obtained respectively; carrying out lesion geometric mutation form prediction on the CT fault lesion image, and carrying out multi-modal image fusion boundary correction on the CT fault lesion image and the PET lesion image to obtain multi-modal lesion image fusion boundary correction data; according to the multi-modal lesion image fusion boundary correction data, performing multi-modal lesion region segmentation combination optimization on the CT image and the PET image to obtain a lesion region segmentation combination optimization strategy; and carrying out image segmentation model construction on the lesion region segmentation combination optimization strategy based on a strategy gradient algorithm to obtain a lesion image segmentation model. According to the method, the image segmentation technology is optimized, so that the image segmentation technology is more perfect.

The invention relates to the technical field of dark green tea processing, in particular to a fermentation monitoring method in the dark green tea processing process. The method comprises the following steps: acquiring temperature sequences and oxygen contents of different monitoring positions of a fermentation box in a dark tea processing process; determining a corresponding fluctuation index according to the length corresponding to each sub-sequence section of each monitoring position and the fitting error of each data in the sub-sequence section; the temperature anomaly degree is obtained by combining the difference between the fluctuation indexes of the corresponding sub-sequence segments of each monitoring position and other monitoring positions and the temperature difference; integrating the temperature anomaly degree, the temperature change degree, the oxygen content change degree and the relative distance of the corresponding subsequence segments of each monitoring position and other monitoring positions to obtain contribution factors; and updating the temperature of the current moment based on the time interval between all the sub-sequence segments of all the monitoring positions and the current moment and the contribution factor. According to the invention, the accuracy and credibility of the temperature monitoring result in the dark tea processing process are improved.

The invention discloses a remote physiological signal estimation method and system based on a diffusion model, and relates to the technical field of non-contact physiological signal detection. The training process of the diffusion model is as follows: forward diffusion is performed on an original rPPG signal to obtain a noise rPPG signal; performing feature extraction on the face video to obtain a multi-scale space-time diagram; the noise rPPG signal and the multi-scale space-time diagram are fused; carrying out backward diffusion on the fused data to obtain de-noised data; outputting a predicted rPPG signal according to the denoised data; performing model training by minimizing the difference between the predicted rPPG signal and the original rPPG signal; and performing remote physiological signal estimation by using the trained diffusion model. According to the invention, the accuracy of rPPG signal estimation is improved.

The invention discloses an ore crushing system and method based on controllable shock wave presplitting and intelligent sorting, the system comprises a shock wave ore crushing device and an intelligent ore sorting device, and the lower end of an upper stone crushing frame of the shock wave ore crushing device is slidably arranged in the upper end of a lower stone crushing frame; a plurality of stone passing holes are formed in wall plates of the upper stone crushing frame and the lower stone crushing frame; rotating shafts are arranged on the left side and the right side of the lower stone crushing frame, the rotating shafts are rotationally connected to the inner wall of the ore crushing bin, and an output shaft of the overturning mechanism is connected to the end of one rotating shaft; a reflecting cavity is formed in the lower end of the shock wave reflecting cover, a mounting hole is formed in the upper end of the shock wave reflecting cover, two electrode holders are arranged on the lower end face of the telescopic arm, the two ends of the metal wire are connected to the two electrode holders respectively, a force application ring is arranged on the lower portion of the telescopic arm in the circumferential direction, and the lower end face of the force application ring is used for abutting against the upper end face of the shock wave reflecting cover. The problems that in a traditional crushing process in the prior art, a fine crushing cavity is prone to being blocked, and crushing and grinding energy consumption is high are solved.

The invention belongs to the technical field of vehicle positioning, particularly discloses an unmanned vehicle robust position identification method based on a look-around image, and provides a position identification model based on an improved Mama module in the method. In the aspect of model input, a 360-degree look-around image is introduced; in the aspect of a model structure, a look-around image feature coding module in the model adopts a multi-path image weight sharing encoder branch for capturing multi-level and multi-channel fine-grained features, each path of encoder adopts a DenseNet network to process image features, association among multi-view images is captured through an improved Mamba module, and the multi-view image feature coding is realized through the improved Mama module. According to the method provided by the invention, the target area can be fully covered, and the spatial information can be captured without omission, so that the problem of viewpoint difference in visual identification can be solved, and the robustness and the accuracy of the position identification can be improved.

The invention belongs to the technical field of silica gel foam materials, and particularly relates to high-reflection, high-temperature-resistant and heat-insulating ceramic silica gel foam and a preparation method of the high-reflection, high-temperature-resistant and heat-insulating ceramic silica gel foam. The ceramic silica gel foam is obtained by mixing vinyl silicone oil, fumed silica, a platinum catalyst, an inhibitor, hydroxyl silicone oil, hydrogen-containing silicone oil and a composite filler and then performing vulcanization treatment. Wherein the composite filler is composed of a heat reflection filler, a heat-resistant agent, hollow glass beads and low-melting-point glass powder, and each filler is white or transparent; the molar ratio of Si-H groups in the hydrogen-containing silicone oil to Si-OH groups in the hydroxyl silicone oil is (4-6): 1. Through formula design, the silica gel foam has high reflection capability and low heat conductivity coefficient, can keep a complete heat reflection surface at high temperature, is not easy to crack, effectively prolongs the high temperature resistance and heat insulation capability, and is suitable for battery thermal runaway protection. Meanwhile, the compression stress curve of the silica gel foam is gentle, and the silica gel foam has excellent buffering performance.

The invention discloses an automobile heat-insulating film and a preparation method thereof, and belongs to the technical field of heat-insulating films, and the heat-insulating film is prepared by introducing nanometer indium tin oxide, nanometer tungsten oxide, nanometer titanium oxide, nanometer zinc oxide and other nanometer oxides and combining with a modified material. The preparation method comprises the following steps: mixing nano oxide with water, performing ultrasonic dispersion, adding a coupling agent and a modified material to form composite slurry, mixing the composite slurry with polymers such as polyethylene glycol terephthalate and a plasticizer, coating the surface of glass with the mixture, and drying. Compared with the prior art, the obtained heat insulation film not only has excellent optical transparency and heat insulation effect, but also shows good mechanical property and environmental erosion resistance, and meets the strict requirements of modern automobiles on heat insulation and protection performance.

The invention discloses a power distribution network fault early warning method, system and device and a storage medium, and the method comprises the steps: carrying out the processing of the operation state data of a power distribution network according to a minimum redundancy and maximum correlation algorithm, and obtaining a corresponding dimension feature tag; performing classification processing on the data according to the dimension feature tags to obtain a balanced data set; constructing a target data model based on a weak classifier through a multi-dimensional integration strategy; and optimizing and integrating the target data model based on a gradient lifting decision tree algorithm to obtain a fault prediction model for fault prediction. According to the method, the integrated prediction model is constructed by using the multi-dimensional weak classifier, so that the state in the operation process of the power distribution network can be accurately predicted, the fault risk of the power distribution network can be early warned in advance, and a more effective fault maintenance strategy can be formulated, thereby reducing the occurrence of power distribution network accidents and improving the economy and safety of the power distribution network.

The invention relates to the technical field of electric power fault detection, and discloses a fault monitoring system and method based on an electric power acquisition terminal, and the method comprises the steps: constructing a non-linear relation between the power consumption and the temperature through analyzing the historical power consumption data of a user and the weather temperature; the method comprises the following steps: dividing a user electricity consumption day into a plurality of time periods, and setting a time interval threshold value; and in each time period, data are acquired through the electric power and temperature acquisition devices, an electric quantity and temperature scatter diagram is constructed, and nonlinear data fitting is carried out. Thirdly, the similarity between the temperature nonlinear relational expressions of different time periods is calculated, the time periods are divided into sets, and a temperature retrieval set is established; and searching a corresponding electric quantity relation set by matching the temperature nonlinear relational expression of the user in the current time period, and judging whether electric power fluctuation and fault exist or not according to the priority ranking and the relation similarity.

The invention provides a camera offset detection method and system based on image segmentation, and belongs to the technical field of image processing, and the method comprises the steps: inputting a to-be-detected railway image into an image segmentation model, and obtaining a plurality of rail region contours; a target contour is determined from all the rail area contours, and the target contour is divided into a plurality of convex areas in the preset direction when it is judged that concave points exist in the target contour; determining a target area from all the convex areas, and performing straight line fitting on contour points in the target area to obtain a straight line to be detected; and when it is determined that the camera deviates based on a comparison result of the to-be-detected straight line and the reference straight line, alarm information of camera deviation is generated. According to the invention, through image segmentation and contour analysis, the rail boundary is accurately extracted and the camera offset is detected, so that the accuracy of camera offset detection is effectively improved.

The invention provides a fault judgment method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining target log data within a preset duration based on fault occurrence time of a target server; extracting target keywords in the target log data based on preset keywords, and determining a target log vector corresponding to the target log data based on the TF-IDF value of each target keyword; and predicting the fault type of the target server based on the target daily vector and the sample fault machine data set by using a KNN algorithm. The log vector is determined through the TF-IDF value based on the keyword, the fault type is judged based on the log vector by using the KNN algorithm, automatic judgment of the fault type is realized, and the TF-IDF can reflect the unique contribution of the keyword to the log data, so that the log vector can reflect the unique contribution of different keywords, the original log data features are better reflected, and the reliability of the log data is improved. Based on the daily vector data judgment, a fault judgment result can be obtained more accurately, and the efficiency and accuracy of fault judgment are improved.

The embodiment of the invention discloses an ultrasonic harmonic image generation method and device, electronic equipment and a medium. A specific embodiment of the method comprises the following steps: controlling an ultrasonic transmitting probe to transmit a low-frequency ultra-harmonic signal; controlling an ultrasonic receiving probe to receive the echo signal set to be detected; carrying out compressed sampling processing on the echo signal set to be detected and then carrying out signal reconstruction to obtain a reconstructed echo signal set; carrying out delay superposition processing on the reconstructed echo signal set to obtain a superposed echo signal; performing signal filtering decomposition processing on the superposed echo signals to obtain a super-harmonic signal set; performing envelope detection on the super-harmonic signal set to obtain an echo amplitude information set; and generating a target area ultrasonic harmonic image set, and sending the target area ultrasonic harmonic image set to a target terminal for display. According to the embodiment, by transmitting the low-frequency signal and receiving the ultra-harmonic signal, the attenuation of the received signal can be reduced, the signal penetration depth can be improved, the purity of the received signal can be improved, and the quality and the resolution of the generated ultrasonic harmonic image can be improved.

The invention belongs to the field of new energy automobile power batteries and the related field of laser welding, and discloses a technological parameter optimization method and system for spot ring light spot laser welding spatter suppression, and the method comprises the steps that the relation between the preheating temperature of an outer ring light beam to a weld joint and welding technological parameters is obtained; establishing optimization constraint conditions of the preheating temperature, and deducing optimization constraint conditions of process parameters; acquiring a preset range of the process parameters; and substituting the technological parameter values in the preset range into optimization constraint conditions of the technological parameters, and combining the technological parameters meeting the preheating temperature into optimized technological parameters. According to the method, by optimizing the preheating temperature of the annular light beam to the welding seam, regulation and control are directly carried out according to key factors for forming spatter, and generation of spatter is effectively restrained; by optimizing technological parameters, the stability of the welding process is improved, and therefore welding defects are reduced.

The invention belongs to the technical field of coatings, and discloses an anti-yellowing and high-hardness UV (ultraviolet) laminating varnish as well as a preparation method and application thereof. The UV film coating varnish comprises six-functionality alicyclic polyurethane acrylic resin, two-functionality linear polyurethane acrylic resin, pure acrylic resin, an acrylate reactive diluent, a filler, an ultraviolet light absorber, a non-alkaline hindered amine free radical scavenger and a photoinitiator. The weight ratio of the six-functionality alicyclic polyurethane acrylic resin to the two-functionality linear polyurethane acrylic resin to the pure acrylic resin to the acrylate reactive diluent is (2.5-3.5): (1-1.5): 0.5: (2.0-3.0); the bifunctional linear polyurethane acrylic resin is prepared from the following raw materials: isocyanate, poly (1, 4-butanediol) and hydroxyethyl acrylate. A paint film formed by the UV film-coated varnish has good yellowing resistance and high hardness, and is not easy to crack after thermal cycling.

The invention provides a digital twin modeling method, device and equipment and a storage medium, and relates to the technical field of digital twin modeling, and the method comprises the steps: obtaining initial point cloud data; obtaining preprocessed point cloud data; obtaining first point cloud feature information according to the preprocessed point cloud data; carrying out object classification and segmentation processing to obtain second point cloud feature information; generating an interactive twin model; and acquiring real-time state information, and updating the interactive twinborn model according to the real-time state information. Convolutional feature extraction processing based on point cloud data is realized by generating the point cloud image, global and local features of the point cloud can be efficiently extracted, the modeling efficiency and precision are improved, the high modeling precision is beneficial to guaranteeing the precision of an interactive twinborn model to accurately reflect an actual scene, and the method is suitable for large-scale popularization and application. And meanwhile, the high modeling efficiency is beneficial to realizing synchronous change of the interactive twinborn model and an actual scene, the monitoring and interaction real-time performance of digital twinborn is improved, and the monitoring and management requirements of a machine room can be met.

The invention provides a light-emitting diode, a manufacturing method thereof and a light-emitting device. The light-emitting diode comprises a substrate, and a first semiconductor layer, an N-type semiconductor layer, a light-emitting layer and a P-type semiconductor layer which are sequentially positioned on the substrate, the first semiconductor layer comprises a first layer body and a lug boss; the convex part is arranged on the upper surface of the first layer body and comprises a plurality of bulges; the N-type semiconductor layer fills gaps among the plurality of protrusions. As the N-type semiconductor layer is low in contact resistance and good in conductivity, the projection part is arranged on the first semiconductor layer, the contact area between the first semiconductor layer and the N-type semiconductor layer is increased, the current expansion performance of the contact surface between the first semiconductor layer and the N-type semiconductor layer is improved, the burst caused by current gathering in the light-emitting diode is avoided, and the light-emitting efficiency is improved. The local brightness of the light-emitting diode is reduced; and the brightness is non-uniform.

The invention discloses a sewage treatment system based on crowd sensing, and relates to the technical field of pollution prediction.A pollution prediction module is based on a two-dimensional instantaneous pollution source diffusion model and combines sensor point location information provided by a sensor screening module and water depth influence data provided by a water depth measurement and calculation module; the dynamic simulation and prediction module is used for carrying out dynamic simulation and prediction on pollutant diffusion, calculating a water pollutant concentration prediction value of each selected sensor point location, and sending the pollutant concentration prediction value to the feedback determination module; correcting the position of the pollution source according to the deviation by using an inversion algorithm, specifically, continuously correcting the predicted pollution data value again by adjusting the position data of the pollution source and changing the values of x, y and b, and comparing the predicted pollution data value with an actual measurement value until an error requirement is met; therefore, the prediction precision of the pollution condition of the position, which is not covered by the sensor, of the monitoring area can be ensured by continuously calibrating the prediction value and the actual measurement value.

The invention proposes a circuit breaker power module layout optimization method and system based on multi-chip current sharing, and relates to the technical field of power electronics, and the method comprises the steps: collecting parasitic parameters of a circuit breaker power module, and constructing a first switch transient circuit model according to the parasitic parameters; constructing a conduction transient process circuit based on the first switch transient circuit model and the conduction transient characteristics; performing current equalization on the conducted transient process circuit according to the common-source inductance compensation function so as to perform state updating on the conducted transient process circuit, and obtaining a second switch transient circuit model corresponding to the conducted transient process circuit after state updating; extracting a parasitic inductance parameter in the second switch transient circuit model by adopting an ANSYS Q3D simulation tool, and performing multiple iterative optimization on the copper layer shape and the copper layer size of each power tube in the second switch transient circuit model through finite element simulation according to the common-source inductance compensation function and the parasitic inductance parameter; and obtaining an optimized layout scheme of the circuit breaker power module. According to the invention, the problem of local overload caused by non-uniform current distribution can be avoided, and the current sharing degree of the device under the condition that multiple chips are connected in parallel can be improved.

The invention relates to the technical field of data anomaly monitoring based on an isolated forest, in particular to a data security transmission method and system of a digital energy air compression station. The method comprises the following steps: firstly, acquiring pressure data of an air compression station, periodically dividing the pressure data through frequency domain information, and then carrying out differential sequence analysis on pressure data segments to obtain a differential feature sequence for enhancing data stability. Thirdly, performing anomaly detection by adopting an isolated forest algorithm, but in order to avoid redundant calculation and guarantee accuracy, performing quality evaluation on the constructed isolated tree, and screening out a high-quality target isolated tree; finally, the isolated forest constructed based on the target isolated tree can more accurately identify abnormal and normal data in the pressure data, and different encryption methods are adopted for transmission in the subsequent process, so that the safety analysis of the abnormal data at the equipment end is ensured, the normal transmission of the normal data is ensured, and the safety of the pressure data of the air compression station is effectively protected.

The invention relates to the field of photo interrupter packaging technology, in particular to a reflective photo interrupter packaging structure, a secondary pressing mold and a packaging method.The reflective photo interrupter packaging structure comprises an optical assembly, and the optical assembly comprises a light source and a light receiver and is used for emitting and receiving light rays; the circuit board is a split circuit board and is used for bearing the light source and the light receiver respectively; the first packaging layer covers the optical assembly and the circuit board and is made of an epoxy resin material; the second packaging layer covers the first packaging layer and is made of an epoxy resin material; a part of the circuit board penetrates out of the first packaging layer and the second packaging layer and is used for being connected with an external circuit. The packaging structure has the effect of improving the packaging stability and reliability of the reflective photo interrupter.

The invention discloses an operation monitoring system and method for waste gas treatment equipment. The method comprises the following steps: acquiring a shot image of an aluminum foil defect test chart; aluminum foil defects are analyzed to obtain image similarity values; comparing the image similarity value with an image similarity threshold value, judging whether the test image is qualified or not according to a comparison result, and generating a test non-passing signal and a test passing signal; analyzing association between the unqualified test image and equipment illumination based on the test failing signal to obtain an illumination association value; comparing the illumination association value with an illumination association threshold value, judging whether the test image is unqualified and is associated with an illumination condition according to a comparison result, and if so, generating an illumination association signal; based on the test passing signal, the aluminum foil defect points are analyzed, and a detection defect value is obtained; comparing the detection defect value with a detection defect threshold value, and judging whether the produced aluminum foil is qualified or not according to a comparison result; the aluminum foil surface defect identification precision and detection accuracy of the system can be improved.

The invention discloses a power transmission line corona discharge risk analysis method, device and equipment, and relates to the field of power transmission line safety analysis, and the key points of the technical scheme are as follows: establishing a dielectric model for representing the polarization characteristics of different types of bird nests on a power transmission tower, and calculating the power transmission line corona discharge risk based on the weighted sum of the dielectric model; obtaining a first mathematical model used for describing bird nest polarization characteristics, and introducing an environment correction factor of the power transmission line to correct the first mathematical model to obtain a second mathematical model; determining the polarization intensity of different types of bird nests on the power transmission line according to a second mathematical model; correcting the initial corona field intensity of the power transmission line containing the bird nest according to the electric field distortion rate and the polarization intensity to obtain the corrected initial corona field intensity; and constructing a corona discharge probability model according to the corrected initial corona field intensity, the electric field distortion rate and the polarization intensity, and analyzing the corona discharge risk of the power transmission line based on the corona discharge probability model.

The invention provides a sunlight-induced chlorophyll fluorescence reconstruction method and system based on satellite observation data. Comprising the following steps: collecting and processing ground site observation data, air temperature data, leaf area index data, MODIS bidirectional reflectance distribution function nadir correction reflectivity data, enhanced vegetation index data, normalized difference moisture index data, global land cover classification data, and OCO-2 and TROPOMI satellite observation SIF data; performing data reconstruction by using the OCO-2 SIF and the TROPOMI SIF as original data respectively by using a machine learning method; then, an empirical formula between the two kinds of reconstructed SIF data and the site observation SIF is constructed, and estimation parameters on the site are obtained through optimization; then, calculating estimation parameters of the empirical formula on each land coverage type; and finally, substituting the two types of reconstructed SIF data into an empirical formula to obtain a reconstructed SIF with site SIF information.

The invention relates to the technical field of photoelectric communication, in particular to a PWDM (Pulse Width Division Multiplexing) optical device compatible with high and low rates, which comprises a first controller, a second controller is arranged at one end of the first controller, a transmission mechanism is connected between the first controller and the second controller, a processing mechanism is mounted at one end of the first controller, and the processing mechanism is connected with the first controller. A mounting mechanism is mounted on the first controller; through installation of the transmission mechanism, the first controller and the second controller, data processing is facilitated, optical signal receiving and transmitting are achieved, high-speed data transmission is achieved, meanwhile, compatibility of low-speed data transmission is reserved, and therefore the experience that a user uses two rates mutually is met; different optical signals can be further processed, the stability of data transmission is achieved, through connection of the installation mechanism, the equipment is convenient to install and operate, and the equipment can work more stably.

The invention belongs to the technical field of glass fiber composite materials, and particularly relates to a flame-retardant, heat-insulating and sound-absorbing composite material and a preparation method thereof. By adding zirconium oxychloride, gadolinium nitrate and other materials, the flame retardant property of the composite material is enhanced, the inflammability of the composite material under a high-temperature condition is effectively reduced, and the safety of the material under an extreme condition is improved; the introduction of the phase change material is beneficial to heat management of the material, and heat can be absorbed and stored in a high-temperature environment, so that a good heat insulation effect is provided; the materials such as the modified glass fibers and the basalt fibers are added, and the fibers have good acoustic performance and can effectively reduce noise transmission, so that the sound absorption effect is improved; therefore, the mechanical property of the material is improved, the good durability and stability of the material are ensured, and the long-term reliability of the material is ensured.

The invention relates to a self-repairing invisible car cover and a preparation method thereof, and relates to the technical field of automobile material processing, and the self-repairing invisible car cover comprises the following components in parts by mass: 20-40 parts of fluorine-containing polyol, 15-30 parts of polyisocyanate, 5-10 parts of a composite chain extender, 10-20 parts of self-repairing microcapsules, 1-3 parts of an initiator and 30-50 parts of a solvent. The preparation method comprises the following steps: preparing a self-repairing coating; coating the surface of the transparent substrate with an adhesive to obtain an adhesive layer, and covering the adhesive layer with a release film to obtain a semi-finished automobile cover; and the self-repairing coating is applied to the face, away from the release film, of the semi-finished automobile cover, heating and curing are conducted, the semi-finished automobile cover with a self-repairing coating is obtained, the self-repairing coating is coated with a protective film, and the self-repairing invisible automobile cover is obtained after curing. The automobile cover has the effect of improving the self-repairing performance of the automobile cover, and the automobile cover has good weather resistance, tensile resistance and puncture resistance.

The invention relates to the technical field of composite material structure monitoring, in particular to a composite material structure damage identification method based on acoustic emission wavelet packet energy characteristics, and the method comprises the steps: S1, obtaining acoustic emission signal data of a composite material, and carrying out the preprocessing; s2, performing wavelet packet decomposition on the denoised composite material acoustic emission signal data by using a wavelet basis function and discrete wavelet inverse transformation; s3, acquiring the processed acoustic emission signal data of the composite material, and extracting the characteristic energy of each piece of acoustic emission signal data; and S4, performing clustering analysis by using a clustering method to complete damage identification of the composite material structure. According to the method, the acoustic emission signal is used as an analysis basis, wavelet transform and k-means clustering analysis are used for accurately realizing structural damage identification and judgment of the composite material, dynamic continuous monitoring can be realized, the method is not influenced by structural complexity, and the method has wide applicability and is suitable for various composite materials.

The utility model relates to the technical field of anti-bird equipment, and discloses acousto-optic intelligent anti-bird equipment which comprises a base, a support is fixedly connected to the upper face of the base, the rod wall of the support comprises a rotating assembly, the rotating assembly comprises a plurality of fan blades, the opposite faces of the fan blades are each fixedly connected with two connecting rods, and the connecting rods are fixedly connected with the rotating assembly. The opposite ends of the multiple connecting rods are jointly and fixedly connected with a rotating bearing and a driving assembly, the driving assembly comprises a driving ribbon, and a bell assembly is arranged on one side of the driving ribbon. All the fan blades can drive the repelling ribbons, the bell assemblies and the conical prisms to rotate, the repelling ribbons move to repel the birds, the bell assemblies move to make a sound, the conical prisms move to conveniently reflect light rays and generate a flashing effect, and the birds are repelled in multiple aspects.