835 results about "Dot matrix" patented technology

The invention relates to the technical field of geological disaster monitoring, and discloses a point-like landslide and debris flow potential degree adaptive monitoring and early warning method. According to the method, a dot matrix monitoring equipment array is arranged, and displacement data and environmental parameters of multiple monitoring points are collected; analyzing the displacement data timestamp through a timeline analysis module, generating a dynamic timeline, and marking geological event nodes; a geographic information system is combined to carry out spatial mapping on displacement data, and environmental parameters are fused to obtain a preliminary potential degree evaluation result. The pattern recognition engine classifies displacement speed and deformation characteristics in the preliminary result to generate a deformation characteristic spectrum with a space-time label; calculating a dynamic potential degree evaluation map according to the multi-factor weighted evaluation model; and adjusting an early warning threshold according to a user instruction, generating a personalized early warning rule set, and scanning the atlas to output a multi-stage early warning response scheme. On the basis of an early warning feedback iteration updating model and an engine, monitoring data are newly added to trigger and re-analyze in real time, a related scheme is updated in a linkage mode, and different scene requirements are met.

The invention relates to the technical field of hydrological data measurement, in particular to a sky-ground-water integrated hydrological monitoring system. The system comprises the following modules: a space-based monitoring module, an air-based monitoring module, a foundation monitoring module, a water-based monitoring module and a hydrological early warning module. Specifically, a hydrological monitoring area is patrolled through a satellite platform, and terrain height data is monitored in a dot-matrix mode; and scanning the hydrological monitoring area along the sine wave path through the unmanned aerial vehicle, and generating a three-dimensional topographic image in combination with the topographic height data. According to the invention, through a data processing technology, a real-time monitoring technology and a deep learning technology, three-dimensional, real-time and accurate monitoring of water level, flow, terrain and sediment hydrological elements is realized; scientific, reliable and comprehensive data support is provided for the fields of water resource management, flood control and disaster reduction and ecological environment assessment; meanwhile, a hydrological early warning model is constructed, and hydrological abnormal conditions are captured in time.

The invention relates to the technical field of computer vision, in particular to an industrial facility autonomous inspection and intelligent diagnosis method based on multi-modal vision fusion, which comprises the following steps of: acquiring a multi-frame seam image to extract a texture dot matrix, analyzing displacement frequency to evaluate stability, calculating angle difference to identify a deformation structure surface, and performing multi-modal vision fusion. And detecting image and point cloud overlapping, screening abnormal blocks to generate a fusion set, identifying a spectrum hopping mapping image, positioning a boundary region, extracting a frequency analysis path repetition rate, identifying an abnormal focusing position, and generating a diagnosis list. According to the invention, through multi-frame image texture dot matrix displacement tracking, the dynamic abnormal region identification precision is improved, micro deformation is captured through three-dimensional point cloud angle difference, the structural anomaly detection is enhanced, the multi-modal anomaly judgment accuracy is improved, the anomaly characteristics, the inspection path frequency and anomaly aggregation analysis are refined, the high-frequency abnormal region is positioned, and the inspection resource configuration is optimized; risk prevention and control are enhanced, and limitation of equipment surface sensing and abnormal positioning is broken through.

The invention provides a high-precision dot matrix density cosmetic contact lens development method and system, a medium and a product, and relates to the technical field of cosmetic contact lens production, and the method comprises the steps: obtaining multi-mode fashion data through a crawler technology, and extracting a trend language intention vector from the multi-mode fashion data; based on a pre-trained neural network model, mapping the trend language intention vector into a microscopic physical parameter for defining a cosmetic contact lens pattern to obtain an initial dot matrix parameter set; performing graphical rendering on the initial dot matrix parameter set to obtain a plurality of initial cosmetic pupil dot matrix patterns; simulating the wearing effect of each initial cosmetic contact lens dot matrix pattern on the three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect pictures; and determining the initial cosmetic contact lens dot matrix pattern of which the aesthetic evaluation score is greater than a preset score threshold as a final cosmetic contact lens dot matrix pattern. By implementing the method, the limitation of a traditional design element library can be broken, the generation of the cosmetic contact lens pattern is more innovative and diversified, and the innovativeness and the popular integrating degree of the cosmetic contact lens pattern are improved.

The invention relates to the technical field of target distance detection and 3D scanning reconstruction, and discloses a coaxial scanning type ultra-long distance detection laser radar system, which comprises a laser light source module, which adopts a 1550nm optical fiber laser to output high-power laser, and ensures sufficient laser energy and human eye safety; according to the invention, by adopting the high-power 1550nm fiber laser, the ultra-long distance detection is realized on the premise of ensuring the safety of human eyes, and the detection range of more than 10km can be reached, so that the limitation that the detection distance of the traditional laser radar is only 500m is broken; according to the invention, by selecting the 1550nm laser device which is safer to human eyes and greatly improving the laser power to kilowatt and even myriawatt levels, stronger echo signals are realized, so that the detection signal-to-noise ratio is remarkably improved; the micro-lens array is adopted to replace a traditional DOE diffractive optical element, efficient beam shaping of a one-dimensional or two-dimensional dot matrix is achieved through flexible regulation and control of the curvature radius and the distance of the micro-lenses, meanwhile, the manufacturing cost is reduced, and the design freedom degree is expanded.

The invention provides a thermal imaging automatic calibration and key region segmentation method. The method comprises the steps of obtaining a thermal imaging image, and then performing preliminary denoising processing on the image to obtain a denoised image; constructing a high-density grid in an image pixel dot matrix by adopting a dense sampling method according to the de-noised image so as to determine an initial pixel coordinate of each grid point; obtaining neighborhood feature vectors through an abnormal point set, and grouping the vectors by adopting K-means clustering so as to determine a temperature change mode, and fusing a temperature gradient to extract a boundary extraction basis as grid optimization input; and extracting a boundary extraction basis of the key part from the temperature change mode, adjusting the high-density grid according to the boundary extraction basis to obtain an optimized grid, and starting relocation iteration adjustment through coordinate deviation calculation. According to the method, a closed-loop optimization process of high-density grid construction, abnormal point identification, clustering analysis, grid dynamic optimization and iterative relocation is constructed, so that refinement and adaptive segmentation of a thermal anomaly region are realized.

The invention discloses a method, device and medium for converting an image animation into an unmanned aerial vehicle group dance step air route, and belongs to the field of unmanned aerial vehicle cluster control, and the method comprises the steps: 1, obtaining an original video corresponding to an image animation to be displayed of an unmanned aerial vehicle group; 2, performing frame insertion processing on the original video to obtain a smooth video; 3, preprocessing the obtained video, and mapping discrete points in each frame of two-dimensional image in the video into a three-dimensional space coordinate system to form a dot matrix distribution diagram of the unmanned aerial vehicle group; and step 4, for the dot matrix distribution diagrams of two adjacent frames of unmanned aerial vehicle groups, solving positions and moving paths of each unmanned aerial vehicle in the dot matrix distribution diagram of the previous frame of unmanned aerial vehicle group and the corresponding unmanned aerial vehicle in the dot matrix distribution diagram of the next frame of unmanned aerial vehicle group through a nearest neighbor matching algorithm in combination with a linear distribution algorithm. And taking the obtained position and moving path of each unmanned aerial vehicle as the dance step air route of the unmanned aerial vehicle group. According to the method, the image animation can be efficiently and accurately converted into the dance step air route of the unmanned aerial vehicle group.

The invention discloses a self-adaptive alignment method of a chip substrate, and aims to solve the problem of high-precision alignment of a chip and a driving substrate in display panel manufacturing. Obtaining an initial dot matrix of the first substrate chip array through a visual sensor, determining a target sub dot matrix with the highest matching degree with a standard sub dot matrix by adopting a global-local double-layer screening mechanism, and obtaining a regularized intermediate dot matrix through affine transformation; then, density-distance two-dimensional threshold dynamic clustering is utilized, a clustering threshold is adaptively adjusted based on kernel density estimation, noise points are removed, and a processed dot matrix is obtained; the method gets rid of traditional marking dependence, utilizes a dynamic threshold to adapt to different dislocation scenes, realizes multi-feature angular point positioning to improve robustness and reduce angular point positioning errors, finally fuses topology centrality and geometric features, determines angular points through a weighted voting mechanism, takes the angular points as alignment reference points, and remarkably improves bonding precision and production efficiency.

The invention discloses a partition dot matrix filling air rudder lightweight design method. The method mainly comprises three parts of establishment of a dot matrix unit cell equivalent mechanical performance proxy model, topological optimization design of an air rudder structure and optimization design of dot matrix filling parameters. Comparing compression tests of different rod diameters with simulation results of variable cross-section beam units with different parameters, and searching optimal beam unit cross-section parameters to construct and calculate a lattice unit cell equivalent mechanical performance agent model; structure topological optimization design is carried out on the determined air rudder appearance and load conditions, dot matrix filling area division is carried out on a design area according to a topological optimization result, and the design area can be divided into areas with different filling densities according to design requirements; and establishing a parameterized finite element model for the dot matrix filling structure and the air rudder model, and performing optimization design on rod diameters of different partitions on the basis to obtain a final dot matrix filling design model.

The invention provides a composite material product appearance measuring method, device and equipment and a medium, and relates to the technical field of digital measurement, and the method comprises the steps: importing a three-dimensional mathematical model of a target composite material product, and building the communication connection with a laser radar; measuring coordinates of a target point selected by a user through a laser radar; the target points comprise a plurality of surface points around the target positioning hole and a plurality of internal points on the hole wall; fitting a plane according to the coordinates of the plurality of surface points, projecting the coordinates of the plurality of internal points to the plane, and fitting to obtain the actual circle center coordinates of the target positioning hole; according to the UV grid parameters, uniformly distributed (U-2) * (V-2) scanning dot matrixes are generated on a target profile area selected by a user, and actual coordinates of all scanning points are measured through a laser radar; and outputting the measurement result of the appearance of the target composite product until the actual circle center coordinates of the plurality of positioning holes and the actual coordinates of the scanning points on the plurality of molded surface areas are measured, thereby realizing the automatic measurement of the appearance of the composite product.

The utility model provides a curved surface polishing device which is provided with a first platform and a second platform, the first platform and the second platform are oppositely arranged, and the first platform and the second platform are fixedly connected based on at least three sets of hinge assemblies. A grinding wheel driving part and an external controller are arranged on the surface, close to the first platform, of the second platform, the external controller is arranged above the grinding wheel driving part, at least three laser induction sensors and a grinding wheel are arranged on the surface, away from the first platform, of the second platform, and the laser induction sensors are arranged around the grinding wheel. Further, the ground curved surface can be sensed in real time based on the dot matrix laser induction sensor, the controller controls stretching and retracting of the hinge assembly in an online closed-loop mode, self-adaptive adjustment of the curved surface contact angle is guaranteed, and the problems that machining is difficult and quality is poor for different positions and different curvatures of the curved surface in a traditional grinding mode are solved; and meanwhile, universality of multiple machining occasions is achieved, and the machining precision is improved.

The invention discloses an intelligent dot matrix electronic display screen control system, relates to the technical field of electronic display screens, and solves the technical problems that color adjustment and brightness adjustment are inaccurate and are difficult to adapt to different scene requirements. Duty ratio adjustment for limiting a brightness change threshold value is adopted for a low-gray-scale area, the jump problem caused by traditional linear distribution is avoided, dark part details are displayed more smoothly, different reasons such as overall color cast, local color cast and dynamic content color cast are distinguished through a color adjustment control unit, a differential adjustment strategy is adopted, the color rendition degree is improved, and the color rendition effect is improved. According to the method, pixel-level partition detection is adopted, abnormal pixels are accurately screened, a compensation coefficient is calculated, the problem of local brightness deviation is solved, a thermal attenuation coefficient is introduced in combination with the relation between temperature and brightness, the compensation coefficient is dynamically corrected, and the brightness uniformity error in a high-temperature environment is reduced.

The invention provides a high-speed laser-induced breakdown spectral imaging device and method. The high-speed laser-induced breakdown spectral imaging device comprises an optical fiber laser, a marking table, a high-speed scanning galvanometer, a flat-field scanning lens, a dichroic spectroscope, a laser isolation head, a focusing lens, a high-speed spectrograph, a delay pulse generator, an electronic control card and a computer. The electronic control card is connected with the computer, the fiber laser, the high-speed scanning galvanometer and the delay pulse generator; the delay pulse generator is connected with the high-speed spectrometer; the high-speed spectrometer is connected with the computer; geometric centers of the high-speed scanning galvanometer, the dichroic spectroscope and the laser isolation head and a straight line where laser is located are on the same straight line; and a flat field scanning lens is arranged below the high-speed scanning galvanometer. By applying the technical scheme, the task of single-point laser emission sampling exceeding 10000 Hz and dot matrix data acquisition exceeding 2000 Hz can be completed.

This invention discloses a robotic grinding auxiliary device with a follow-up lattice circulation mechanism for thin-walled parts, comprising: a grinding robot mechanism, a thin-walled part, and a follow-up lattice magnetorheological support mechanism. The follow-up lattice magnetorheological support mechanism is positioned directly in front of the grinding robot mechanism. A left positioner and a right positioner are located on either side of the follow-up lattice magnetorheological support mechanism. The left and right positioners are configured to clamp the thin-walled part from both sides, allowing the thin-walled part to be synchronously moved with the left and right positioners. The thin-walled part is positioned vertically above the follow-up lattice magnetorheological support mechanism, and the working end of the grinding robot mechanism is positioned above the thin-walled part. This invention effectively counteracts the cutting force applied by the grinding robot by providing active and adaptive support from below, greatly suppressing workpiece vibration and deformation, and ensuring machining accuracy and surface quality.

The invention relates to the technical field of textile materials, and particularly discloses a fabric capable of improving thermal protection performance and a preparation method and application of the fabric. Nano-scale aluminum oxide; polyethylene glycol diacrylate; a closed type waterborne polyurethane emulsion; a silane coupling agent containing a vinyl group; a photochromic dye; a thermochromic dye; the preparation method comprises the following steps: S1, preparing composite slurry; s2, applying the composite slurry to the surface of a fabric base material in a dot matrix form by adopting a screen printing process to form a coating; s3, the coating is irradiated with ultraviolet light; and S4, carrying out baking treatment on the fabric subjected to the ultraviolet light curing treatment at the temperature of 140-160 DEG C. According to the invention, the polyethylene glycol diacrylate, the closed waterborne polyurethane and the vinyl-containing silane coupling agent are adopted to form an interpenetrating polymer network structure in situ, so that when the obtained fabric is rubbed or washed and the like, the coating is not easy to crack and peel off.

The invention provides an anti-counterfeiting traceability system and method based on a Braille dot matrix code, and the method comprises the steps: associating the multi-dimensional information of a whole life cycle of a product with the Braille dot matrix code through constructing a Braille dot matrix code generation rule of a fusion encryption algorithm and an error correction mechanism; storing the associated braille dot matrix code and product information to a block chain node to form a non-tampering traceability data chain; during verification, braille dot matrix codes are analyzed through visual scanning or tactile recognition, product information is extracted and subjected to consistency verification with hash values stored in the block chain, and tactile feedback interaction is provided for visually impaired users; and finally, anti-counterfeiting verification and full-process traceability of the product are realized, the use requirements of common users and visually impaired users are considered, and the problems that the existing anti-counterfeiting technology is easy to copy, the traceability data are unreliable and the traceability data are not friendly to visually impaired groups are solved.

The system provided herein may include an ablutionary fitting (e.g., sink, faucet, toilet) and a holographic user interface module. The module may be used to control operation of the ablutionary fitting. The module may include a printed circuit board assembly (PCBA), a display screen (e.g., a liquid crystal display (LCD), projection, dot matrix, light-emitting diode (LED), etc.) coupled to the PCBA, a holographic 3D plate, and an infrared touch bar. When light emits from the display screen, the light may be directed toward the holographic 3D plate, and the holographic 3D plate may transform the light into a screen image. The infrared touch bar may analyze activation of the screen image by a user and control the ablutionary fitting based on the activation of the screen image.

The invention relates to the technical field of liquid crystal display, and discloses a liquid crystal module character display method, which comprises the following steps of: performing stroke decomposition and topological relation establishment on Chinese characters in a target character set to generate a character stroke data set; performing two-dimensional character topological mapping and compressed encoding on the to-be-displayed characters to form compressed character description data; executing hierarchical rendering and stroke synthesis in a character reconstruction engine to generate a target character dot matrix; pixel array electric field distribution optimization is carried out, and sub-pixel-level precision character edge display data are obtained by controlling the driving voltage gradient; performing electric field compensation based on the character edge display data with sub-pixel-level precision to form character display data with enhanced edge sharpness; stroke self-adaptive anti-aliasing processing is carried out on the character display data with enhanced edge sharpness, clear Chinese character display data is output, the visual smoothness of character edges in a small-size display environment is optimized, and the overall recognition degree of characters is improved.

The invention discloses an intelligent human body modeling method and system based on a three-dimensional dot matrix, and relates to the field of intelligent modeling, and the method comprises the steps: carrying out the structural analysis of the semantic level of an original three-dimensional point cloud, and predicting a space displacement field pointing from the surface of observed clothes to the surface of an internal real human body under the semantic guidance. By applying the displacement field, double transformation of point cloud stripping and standardization is carried out on the point cloud, so that repeated fine tuning and optimization are carried out on the body type and posture parameters of the human body model in a standardized space, and finally a high-fidelity human body three-dimensional model is generated through driving. In this way, the complex clothes interference problem is deconstructed into a staged geometric mapping and parameter optimization process, and therefore the robustness and accuracy of human body three-dimensional reconstruction under the real wearing condition are effectively improved.

The invention discloses a two-color printing method based on a thermal printer. The two-color printing method comprises the steps that a two-color printing mode is started; performing color configuration on different types of to-be-printed information, and respectively setting the to-be-printed information as a first color and a second color; converting the character data to be printed into dot matrix data; according to the color configuration, converting the dot matrix data into double-color printing dot matrix data according to a double-color printing data encoding format; the control chip of the thermal printer separates second color printing data from the two-color printing dot matrix data, and respectively restores all the two-color printing dot matrix data and the second color printing data into 1-bit single-color printing dot matrix data; calculating the first color heating time and the second color heating time of the double-color thermo-sensitive paper according to the restored double-color printing dot matrix data and the second color printing data; and according to the first color heating time and the second color heating time, the printing head is controlled to heat the two-color thermo-sensitive paper in a time-sharing mode, and two-color printing is achieved. The printing information identification degree can be improved.

The invention provides a heterogeneous interface anti-cracking method based on multi-element dot matrix compounding, and belongs to the technical field of additive manufacturing. The multi-element dot matrix compounding refers to that a hard phase and a soft filling phase which are continuously distributed synergistically construct a three-dimensional net-shaped structure on a heterogeneous interface, and the implementation process is as follows: constructing a high-strength three-dimensional net-shaped dot matrix on a heterogeneous material interface to enhance the interface bonding strength; and the interface stress is released by matching with a high-toughness reinforcing phase with plastic deformation capacity in dot matrix gap filling, so that the effects of retarding heterogeneous interface crack propagation and guaranteeing the interface structure integrity are achieved. The specific implementation process of the interface anti-cracking technology comprises the steps of three-dimensional net lattice configuration design, selective laser melting manufacturing, high-toughness phase medium-temperature infiltration filling, phase interface medium-low temperature diffusion strengthening and heterostructure composite forming. Based on the method, the anti-cracking performance and the damage tolerance capacity of the heterogeneous interface can be effectively enhanced, the method is particularly suitable for interface performance regulation and control of heterogeneous materials with large physical and chemical performance differences, the comprehensive performance of parts is improved, and the service life is prolonged.

The invention discloses a machine learning prediction method for mechanical properties of a metal dot matrix, and belongs to the technical field of metal materials. The method comprises the following steps: S1, finite element modeling and simulation testing; s2, data collection and preprocessing; s3, performing feature analysis; s4, training and evaluating a machine learning model; s5, carrying out interpretability analysis; and S6, performing performance prediction. According to the machine learning prediction method for the mechanical properties of the metal dot matrix, the research and development cost of the mechanical properties of the metal three-dimensional dot matrix is greatly reduced, the research and development efficiency is improved, the prediction precision is high, the blank of special configuration performance prediction is filled, the influence of parameters on the performance can be clarified, and a reliable basis is provided for structural optimization.

The invention relates to the technical field of data analysis, in particular to a land resource management data analysis method and system based on cloud computing, and the method comprises the following steps: obtaining a difference time node plot number and a purpose field, recognizing a number evolution chain and establishing mapping, extracting a land class sequence to generate a stability label, analyzing the spatial continuity to construct an attribution path, and analyzing the attribution path. And indexing a utilization rate fluctuation trend paragraph, and identifying a purpose fusion direction to generate a fusion layer set. According to the method, through joint comparison of a serial number structure, coordinate overlapping and a purpose field, a stable land class transition chain is established, it is ensured that land class time sequence features are effectively described, the contiguous direction of a space dot matrix and the consistency of land class affiliation are combined, splicing of the space affiliation relation between land parcels is achieved on the regional level, and the splicing efficiency of the space affiliation relation between land parcels is improved. The identification precision and the spatial expression definition of the land type change are improved, and the spatial analysis capability of the land type change trend and the dynamic perception capability of the land utilization efficiency are effectively enhanced.

The utility model discloses an air LED screen and an air LED display system, relates to the technical field of display screens, can be applied to a mooring helium balloon, and specifically comprises a plurality of LED light source sets connected to the surface of the mooring helium balloon through connecting pieces, and each LED light source set comprises a plurality of LED point light sources; and the main controller responds to a control instruction received by the communication module and sends a control signal to the sub-controllers, so that the sub-controllers control the LED point light sources in the LED light source groups connected with the sub-controllers. The buoyancy provided by the helium balloon can drive the LED screen arranged on the helium balloon to lift off, so that the limitation of a traditional ground display mode is broken through; moreover, after the power interface is connected with a power supply, a user can control the light-emitting state of the LED dot matrix on the surface of the tethered helium balloon through the main controller and the sub-controller, and finally an all-dimensional, high-quality and stable aerial image display task is achieved.

The invention relates to a coding and decoding method and a dual-mode coding and decoding method based on a Hash-fractal image chain, and the method comprises the steps: segmenting a text into blocks according to a set number of characters when the length of the text is greater than a threshold value, and generating a Hash value chain for each block through SHA-256; intercepting the first 16 bytes of the hash value of each block to generate a hippeastrum set image, then generating a binary fractal image, embedding metadata dot matrixes into four corners of the fractal image, and storing the metadata dot matrixes in sequence; traversing the target folder, obtaining all PNG images, and sorting the PNG images according to file name indexes; for each image, extracting metadata areas in sequence and decoding the metadata areas, firstly verifying fractal dimension errors of the image to ensure that a carrier is complete, then checking the consistency of each prevhashframe and a previous nexhashframe, positioning a chained tampering position, recalculating a CRC8 checksum, comparing with a storage value and marking a damaged data block; and finally, splicing effective data according to a block position sequence, and outputting a complete text and an abnormal mark. According to the method, the unlimited-capacity ordered associated storage breakthrough can be realized, and the tamper-resistant capability is improved.

The invention discloses a motor bearing fault diagnosis method and system based on a multi-dimensional chromaticity symmetric dot matrix, and belongs to the technical field of bearing fault diagnosis, and the method comprises the steps: determining a fault mode needing to be diagnosed, and collecting a current signal and a multi-dimensional vibration signal when an electric agricultural machinery equipment drives a motor bearing to operate in each mode; performing time-frequency spectrum analysis on the collected current signal to obtain a rotating speed signal; decoupling the rotating speed signal from the multi-dimensional vibration signal to obtain a multi-dimensional reconstructed vibration signal; performing feature extraction on the obtained multi-dimensional reconstructed vibration signal, and taking a standard deviation as a color feature to obtain a multi-dimensional chromaticity symmetric dot matrix picture; and outputting a prediction result of fault diagnosis by taking the result as an input signal of the SE-CNN neural network. The method does not depend on a rotating speed sensor, and fault features can be accurately extracted in a working environment with strong bottom noise. The robustness and reliability of fault diagnosis are improved, and the application range of fault diagnosis is expanded.

The invention discloses a chicken freshness detection method and system combining a colorimetric gel label and a convolutional neural network, and belongs to the technical field of food safety detection. An indicating gel dot matrix label is prepared from curcumin, anthocyanin and betacyanin, the optimal load concentration of curcumin, anthocyanin and betacyanin is optimized and determined, and sensitive color response is generated to volatile biogenic amine gas such as dimethylamine and trimethylamine; gel label images are collected, the images are divided into fresh samples, secondary fresh samples and decayed samples in combination with the TVB-N content, the samples are subjected to data enhancement and then input into an OfficientNet-B0 model for training, and efficient classification is achieved. According to the method, a detection system combining the natural pigment-based multi-channel colorimetric gel and the lightweight convolutional neural network is constructed, lossless, rapid and intelligent detection of the freshness of the fresh chicken is realized, and a green and efficient solution is provided for real-time monitoring of the freshness of food and application of a mobile terminal.

The invention relates to the field of ink-jet printer charging matrix calibration, in particular to an ink-jet printer charging matrix calibration method. According to the technical scheme, the method comprises the steps that a single-row ink dot charging voltage basic value is determined, an ink dot N in the single-row ink dots is selected as an analysis object, in the printing process of an ink-jet printer, the mechanical influence of front x ink dots and rear y ink dots of the ink dot N on the ink dot N is comprehensively considered, and according to the single-row ink dot charging voltage basic value, the single-row ink dot charging voltage basic value is calculated. Charging voltage calibration values under different ink dot combination conditions are obtained through experimental calibration, # imgabs0 # calibration values are obtained in combination with the number of adjacent ink dots before and after an ink dot N, a two-dimensional table T [m] [# imgabs1 #] is established, # imgabs2 # calibration values are stored in the two-dimensional table to serve as a charging voltage standard reference library, and when an ink-jet printer conducts printing, the number of the ink dots in the charging voltage standard reference library is equal to the number of the ink dots in the charging voltage standard reference library. The two-dimensional table is inquired according to the combination condition of effective ink dots before and after a certain ink dot in the dot matrix character, and a charging matrix is generated. The method is suitable for ink-jet printer charging matrix calibration.

The invention relates to a tool surface microstructure laser additive filling modification process, in particular to the technical field of tool machining, and the tool surface microstructure laser additive filling modification process comprises the following steps that S1, microstructure design is conducted, specifically, the type of a microstructure is determined according to the tool service condition, the microstructure is of a groove type or a dot matrix type or a two-dimensional or three-dimensional structure, the design depth is 50-800 microns, and the distance between every two adjacent structures is 50-800 microns; according to the tool, the reinforced lubricating composite filling layer is constructed in situ in the micro-texture concave area of the tool, precise filling with the deep micro-texture depth reaching 800 microns is achieved, the filling layer remarkably enhances the mechanical strength of the micro-texture area while providing a chip storage and lubricating space, and therefore the tool can have the good cutting performance under the conditions of high-speed cutting and high-load machining, and the service life of the tool is prolonged. The bending strength attenuation rate is controlled within 5%, and the bending strength attenuation rate of a traditional non-filling or mechanical filling process is generally larger than 8%.

The invention relates to the field of image processing, and provides a dot matrix image data processing method and system based on a cloud platform, and the method comprises the steps: triggering a cloud function to notify a cloud platform to generate a new task after a user uploads a frame image and real-time weather data; the cloud platform receives the original material and carries out image processing on the frame image to generate frame image data matched with the lattice screen, and meanwhile, the cloud platform carries out semantic understanding and image rendering on the real-time weather data to generate weather rendering image data; and then the cloud platform performs semantic collaborative interaction coding analysis based on visual features on the frame image data and the weather rendering image data to obtain synthetic rendering image data, and finally the synthetic rendering image data is converted into a binary format which can be directly used by a lattice screen to obtain lattice frame data. In this way, the local resource performance bottleneck can be broken through, and meanwhile accurate adaptation and real-time interactive presentation of the image on the lattice screen can be ensured.