376results about How to "Add dimension" patented technology

The invention relates to the technical field of health monitoring, in particular to a health monitoring system based on wearable equipment, which comprises a data acquisition module, a health data analysis module, an emotion and sound analysis module and a health prediction feedback module. According to the health monitoring system, the prediction accuracy of the health monitoring system is effectively improved by combining time sequence analysis with a processing strategy of environmental factors, and more accurate health condition early warning, disease prevention and management strategy optimization and emotion and sound analysis integration are provided by comprehensively analyzing long-term health data and real-time environmental changes of the user, so that the user experience is improved. The emotion change is clarified through acoustic feature analysis, the understanding of the emotion state of the user is improved, the health monitoring dimension is enhanced, the participation degree and satisfaction degree of the user are improved through personalized health suggestion and real-time feedback, the practicability and effectiveness of the system are enhanced, and health management is more accurate and has interactivity.

The invention relates to the technical field of data processing and analysis, in particular to a three-dimensional model data management system and method for engineering surveying and mapping. The method comprises the following steps: acquiring engineering surveying and mapping data; preprocessing the engineering surveying and mapping data to obtain standard engineering surveying and mapping data; performing multi-dimensional feature recognition on the standard engineering surveying and mapping data to obtain multi-dimensional surveying and mapping feature data; performing key engineering surveying and mapping information extraction on the multi-dimensional surveying and mapping characteristic data to obtain key engineering surveying and mapping information; performing association analysis on the multi-dimensional surveying and mapping characteristic data and the key engineering surveying and mapping information to generate multi-dimensional engineering surveying and mapping associated data; monitoring the engineering surveying and mapping data in real time to obtain engineering surveying and mapping real-time monitoring data; through a data processing technology, a geographic information system technology and a three-dimensional mapping technology, integrated management of multi-source heterogeneous data is realized, and dynamic updating management of the data is realized, so that the presentation accuracy of the engineering surveying and mapping three-dimensional model is improved.

The invention relates to the technical field of short message fraud recognition, and discloses a short message fraud recognition method and system based on machine learning and computer equipment, and the method comprises the steps: carrying out the preprocessing of collected fraud and non-fraud short message samples, and obtaining structured short message data; performing multi-dimensional feature extraction to obtain an initial feature vector; constructing a short message fraud multi-mode knowledge graph; performing feature enhancement to obtain a knowledge enhancement feature vector; inputting the knowledge enhancement feature vector into a plurality of machine learning models for training to obtain an integrated short message fraud recognition model; and performing real-time analysis on the newly received short message based on the integrated short message fraud identification model to obtain a fraud risk prediction result, so that the newly received short message can be quickly analyzed, the real-time requirement in practical application is met, and a risk threshold classification mechanism is adopted, so that the fraud risk prediction result is more interpretable and operable, and the fraud risk prediction accuracy is improved. And subsequent risk management and disposal are facilitated.

The invention is suitable for the technical field of naked eye 3D, and provides a naked eye 3D interaction method and system based on OSG, and the method comprises the following steps: loading an OSG library and a deep learning model, loading a 3D model, a map and a light source through OSG, and obtaining an OSG scene; collecting interaction data of a user in real time, inputting the interaction data into the deep learning model, and performing real-time analysis; outputting the visual angle parameter and the model parameter obtained through analysis, and adjusting the camera position and the model posture in the OSG scene according to the visual angle parameter and the model parameter; according to the optimized OSG scene, utilizing a computer vision technology to generate a parallax image, and utilizing a deep learning algorithm to optimize the parallax image so as to improve the reality sense and the stereoscopic sense of the 3D effect; and synthesizing the optimized parallax image into a naked eye 3D image. According to the invention, real-time and intelligent adjustment can be carried out according to the actual interaction behavior of the user, and the reality sense and stereoscopic impression of the 3D effect are strong.

The invention, which relates to the technical field of image processing, discloses a method for converting a 2D image into a 3D image, comprising the following steps: step 1, obtaining a 2D image; step 2, monocular depth estimation is carried out on the 2D image to obtain a relative depth map; 3, determining the longitudinal depth and the zero parallax surface of the scene according to the content of the 2D image; 4, carrying out value domain transformation on the depth map; 5, calculating the parallax of each pixel of the 2D image according to the transformed depth map, and then rendering an image of a virtual viewpoint according to the parallax; and step 6, repairing the cavity. According to the method for converting the 2D image into the 3D image, the watching experience is improved, the stereoscopic impression is enhanced, the ghosting phenomenon is reduced, and the proper proportion scale is kept; the conversion efficiency and the automation degree are improved, and manual intervention is reduced; meanwhile, the generalization ability is enhanced; in addition, the hole repairing effect is optimized, so that the converted 3D image is more natural and perfect.

The invention discloses a simulated sound enhancement method, electronic equipment and a computer readable storage medium. The simulated sound enhancement method comprises the steps of performing sound simulation processing according to acquired vehicle state data and preset sound source data to obtain target sound source data; matching a target sound source space trajectory from preset sound source space trajectories according to the data type of the target sound source data; and performing spatial rendering processing based on the target sound source spatial trajectory and the target sound source data to obtain a target simulated sound. The three-dimensional sense of the simulated sound in the vehicle can be enhanced.

A side slope deformation trend space-time hybrid analysis method based on large-scale gridding displacement monitoring information relates to the technical field of geotechnical engineering deformation monitoring, and comprises the following steps: arranging detection optical fibers; monitoring data captured by the rotation detection unit and the detection optical fiber are collected, and the gridded monitoring data are arranged in a matrix form; the monitoring data are analyzed, and the state of the slope is recognized; vMD is adopted to decompose the time sequence of slope deformation, the tendency, periodicity and volatility of slope deformation are comprehensively considered, and the deformation rule of the slope along with time is mastered; the method comprises the following steps: constructing a data set of slope deformation influence factors, dividing a training set and a prediction set, substituting the training set into an artificial intelligence model, establishing a model through continuous iterative calculation, and analyzing the slope deformation trend by using the model. Meanwhile, time-space mixed analysis can be synchronously carried out while the cost can be effectively reduced, and the effects of accurate judgment of the overall stability of the slope and deformation prediction are achieved.

The invention discloses a multi-dimensional constellation diagram mapping enhanced orthogonal chirp multiplexing optical transmission sending method, receiving method and system in the field of optical communication. The method comprises the following steps: a sending end converts data to be transmitted into an original signal bit stream; mapping through a preset four-dimensional constellation diagram model to generate a four-dimensional constellation point coordinate sequence, and dividing the four-dimensional constellation point coordinate sequence into two different branches; respectively carrying out OCDM modulation on the four-dimensional constellation point coordinate sequences on the two branches to generate two time domain sending signal sequences; performing power distribution and superposition on the time domain sending signal sequence to form a final sending signal; and a receiving end receives the sending signal from the channel, performs OCDM demodulation on the sending signal, recovers constellation point signals in the two branches by using a serial interference cancellation technology, and obtains an original signal bit stream through demapping of the four-dimensional constellation diagram model. According to the invention, the problems of selective fading of signal frequency and overlong CP in DD-OFDM can be solved.

The invention provides a mountain area highway geological line selection method based on a time sequence InSAR technology, and belongs to the technical field of road engineering, and the method comprises the following steps: S1, preparing before geological line selection, and collecting highway information data; s2, processing and analyzing InSAR data, and performing processing and deformation measurement on the InSAR data by using professional software; s3, geological line selection field work is carried out, and geological information and data in a route corridor zone are acquired by adopting geological plotting; s4, geological line selection interior work is carried out, unfavorable geologic characteristic distribution diagrams, tables and text reports in the corridor zone are formed, unfavorable geologic susceptible area diagrams are divided, route schemes and structure setting suggestions are provided for the proposed expressway, and geological line selection results are formed; s5, geological line selection effect analysis is carried out, and earth surface deformation monitoring is carried out along the highway construction and operation stage; and S6, ending the service life cycle of the expressway, and ending the geological line selection. The problems of precision, accuracy, breadth and reliability of geological line selection are solved.

The invention discloses a standard value prediction method, an error monitoring method and a device thereof for a current transformer, and relates to a power system monitoring technology. The prediction method comprises the following steps: acquiring time sequence data of secondary sides of multiple current transformers; processing the time sequence data through a transposition embedding layer to obtain high-dimensional features; performing feature extraction on the high-dimensional features through a gating network attention network to obtain time sequence trend features; encoding the time sequence trend characteristics through a feedforward neural network to obtain encoding characteristics; and processing the coding characteristics through an output layer to obtain a predicted standard current value of the current transformer. According to the method, the accurate standard current value can be predicted and obtained to serve as the reference value of the current transformer, and therefore error monitoring of the current transformer in a circuit is achieved under the condition that no standard current transformer exists.

The invention discloses a prostate MRI (Magnetic Resonance Imaging) super-resolution reconstruction method based on a frequency domain perception state space model, which relates to the technical field of medical image processing, and is characterized by comprising the following steps: S1, carrying out image preprocessing on prostate MRI of a patient, and obtaining a low-resolution MRI image through downsampling operation; s2, constructing a space-frequency domain Mama module based on the space and frequency domain information, and extracting and fusing the space information and the frequency domain information of the MRI image; and S3, inputting the low-resolution image features obtained in the step S1 into a feature extraction encoder and a decoder which are composed of a plurality of cascaded SFMama, extracting multi-level semantic features of the image, and reconstructing a high-resolution MRI (Magnetic Resonance Imaging) image. The technical problem to be solved by the invention is to provide the prostate MRI super-resolution reconstruction method based on the frequency domain perception state space model, so that prostate MRI super-resolution reconstruction can be conveniently realized.

The invention relates to the field of data processing, in particular to an environment perception data processing method and system based on an intelligent helmet. The method comprises the following steps: acquiring a scene image in front of a user and multi-source environment real-time sensing data; performing scene attribute state analysis on the multi-source environment real-time sensing data, and constructing a real-time scene attribute state diagram; performing contrast dynamic balance adjustment on the scene image in front of the user, performing super-resolution fusion reconstruction, and constructing a super-resolution scene image; performing object visual identification on the super-resolution scene image, and performing object bounding box segmentation processing to obtain a plurality of accurate scene object bounding boxes; and carrying out optical flow motion change analysis on the plurality of accurate scene object bounding boxes, and carrying out space-time scene structure evolution analysis so as to obtain dynamic scene evolution characteristic data. According to the method, the data processing efficiency of the environment perception data is improved, and the environment perception data is visualized more visually.

The invention provides a resource query method and device, equipment and a medium, relates to the technical field of artificial intelligence, can be applied to scenes such as cloud technology, artificial intelligence, smart traffic and aided driving, and comprises the following steps: acquiring an image text of a to-be-queried image, image features of the to-be-queried image and text semantic features of the image text; based on the image text and the text semantic features, performing resource recall in a preset resource library to obtain a recalled data set; based on the image text, the text semantic feature, the image feature and the resource feature data, generating a multi-dimensional association index between each pre-stored resource corresponding to the recall data set and the to-be-queried image; screening candidate resources from pre-stored resources corresponding to the recall resource set according to the multi-dimensional association index; and based on the multi-dimensional association index of the candidate resource, the resource feature data of the candidate resource and the image text, carrying out classification identification on the candidate resource to obtain a resource classification result. According to the invention, the accuracy of resource recall can be effectively improved.

The invention belongs to the field of particulate matter optical sensing, and particularly relates to a particulate matter light scattering signal acquisition method and device, and the method comprises the steps: controlling scattered light with different scattering angles generated by particulate matter to be detected to reach a digital micromirror device DMD; enabling scattered light of different scattering angle combinations to reach a photoelectric detector by utilizing an on state and an off state of each micromirror in the DMD so as to realize multiple acquisition of scattered light signal intensity by the photoelectric detector and obtain a measurement signal vector S; wherein when a single micro-mirror is turned on, scattered light reaching the micro-mirror is focused on the photoelectric detector through the micro-mirror according to a preset light path, and when the single micro-mirror is turned off, the scattered light reaching the micro-mirror is diffused to an area outside the photoelectric detector; 1 norm minimization is carried out on X = (phi psi)-1S, and X and a sparse domain psi are determined; and performing inversion according to P = psi X to obtain the scattered light intensity P of different scattering angles generated by the particulate matter to be measured. According to the invention, the collection efficiency of scattered light intensity spatial distribution can be improved.

The invention belongs to the technical field of scene recognition, and discloses a sequence multi-modal scene recognition method based on a state space model. Laser point clouds and visual images in the tracks are jointly coded to form multi-modal sequence data, the multi-modal sequence data are processed into unique global descriptors through a global descriptor coding network, and the global descriptors of the two tracks are used as maps and queries respectively; and in the query process, finding the most similar data in the map through a nearest neighbor search algorithm to complete scene recognition. According to the invention, fusion coding is carried out on laser point cloud and image data, the data dimension is increased, and the data complexity is compressed. A global descriptor is obtained through a single frame module and a sequence module based on a state space model. The calculation efficiency is improved through the cross scanning design in the single-frame module, and the position recognition problem of track change in a scene is solved through the sequence full combination representation strategy in the sequence module. The method has the characteristics of high calculation efficiency, high accuracy and robustness.

A high-altitude operation construction vehicle with hoisting and cross arm assisting functions comprises a crane system, a caterpillar band chassis, a swing mechanism, a telescopic arm, a fly arm, a quick change device, a working platform and a cross arm assisting tool, the swing mechanism is installed on the caterpillar band chassis, the fixed end of the telescopic arm is hinged to the swing mechanism, the crane system is installed on the telescopic arm, and the fly arm is installed on the cross arm assisting tool. The flying arm is installed on the telescopic arm through a conversion device, the flying arm can be converted between a storage state and a working state through the conversion device, the flying arm is fixed to the fixed end of the telescopic arm in the storage state, the flying arm is fixed to the telescopic end of the telescopic arm in the working state, and the working platform is detachably connected with the flying arm through a quick change device. The cross arm auxiliary tool is installed on the working platform. The crane can be used as a crane and can also be connected with the working platform through the fly jib, and the cross arm is mounted through the cross arm auxiliary tool on the working platform, so that the operation intensity and risk of workers are greatly reduced, and the construction cost is reduced.

The invention provides a gas sensing system and method based on MZI-micro-ring resonant cavity enhancement. The gas sensing system comprises a laser, a beam splitter, a first coupling module, a second coupling module, an optical switch and a coherent detection module, a light source emitted by the laser passes through the beam splitter to obtain three identical light beams, including a reference light beam, a first signal light beam and a second signal light beam; wherein the first signal light beam and the second signal light beam respectively pass through the first coupling module and the second coupling module, are subjected to channel selection of the optical switch, and then are subjected to interference measurement with the reference light beam through the coherent detection module.

The invention relates to a shield tunnel irregular load inversion method based on a neural network agent model, and belongs to the field of shield tunnel load inversion. According to the method, assumption of a load distribution mode in a traditional lining load inversion method is abandoned, an inversion result can reveal an irregular load distribution mode of a field tunnel, and technical guarantee is provided for safe service of the tunnel; according to the method, the lining full-circumference deformation obtained based on the three-dimensional laser scanning technology is inverted, the field data volume is remarkably increased, the dimension of the deformation vector can be fully increased along with the increase of n, and the defect that an inversion result is not unique easily caused by a traditional inversion method is overcome.

The invention discloses a configuration item error determination method and a related device. The method comprises the following steps: acquiring a source code comprising a plurality of configuration items and configuration item reading points respectively corresponding to the plurality of configuration items; a program dependency graph for characterizing relationships between program statements is constructed for the source code. According to the configuration item reading points corresponding to all the configuration items, slicing operation is conducted on the program dependency graph, and program statements associated with all the configuration items are determined. And for a first configuration item and a second configuration item in the plurality of configuration items, determining an overlapped statement between the program statement associated with the first configuration item and the program statement associated with the second configuration item. And determining an association grammar rule between the first configuration item and the second configuration item according to the overlapping statement. Therefore, the association grammar rule is determined according to the overlapping statement before the configuration item, so that the association error of the configuration item can be conveniently determined according to the association grammar rule, the dimension of the configuration item grammar rule is expanded, and the comprehensiveness of determining the error of the configuration item is improved.

The invention provides a receipt matching method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining receipt information of a to-be-matched receipt, the receipt information comprises a receipt number and transaction data, determining a first matched receipt and a first corresponding receipt according to the receipt number and the transaction data, and building an association relationship between the first matched receipt and the first corresponding receipt; classifying a first document field of the first matched document and a second document field of the first corresponding document through a preset text classification model, and judging a field matching result of the first document field and the second document field according to a classification result and a preset matching rule, matching the first matching document with the first corresponding document based on the field matching result and the association relationship; through the method, a more practical and more accurate receipt matching method is provided, so that receipt matching is more accurate and efficient.

The invention discloses a cationic coating digital ink-jet printing pretreatment liquid and a preparation method and application thereof, and the preparation method comprises the following steps: in the presence of a chain transfer agent, copolymerizing a cationic monomer and a water-soluble nonionic monomer to obtain the cationic coating printing pretreatment liquid; the pretreatment liquid is finished on the fabric, the pretreatment liquid and electronegative coating particles printed on the fabric through jet printing form electrostatic attraction through the cationic property of the pretreatment liquid, the electronegative coating particles are deposited on the surface of the fabric, permeation is avoided, and the apparent color yield of the fabric is improved; meanwhile, as the electrostatic adsorption efficiency is high, the slurry amount for pretreatment is reduced, the influence of the slurry on the hand feeling of the fabric is small, and the hand feeling of the jet-printed fabric is improved. Besides, benefited from the control of the chain transfer agent and the copolymerization of the hydrophilic monomer, the resin in the pretreatment liquid is low in molecular weight, high in water solubility and easy to wash away, and the staining resistance of the pigment printed fabric is also improved when the pigment printed fabric is worn and washed with water.

The invention relates to the technical field of food processing, in particular to a holographic display system based on artificial intelligence, which comprises a display module, an artificial intelligence control module, a safety protection module and a noise reduction module, the display module comprises a plane holographic unit and a three-dimensional holographic unit, and the three-dimensional holographic unit is arranged in the plane holographic unit; the artificial intelligence control module enables the projection of the transmission image of the plane holographic unit and the projection of the three-dimensional image in the three-dimensional holographic unit on the plane where the plane holographic unit is located to be completely overlapped through a deep learning algorithm. According to the holographic display system, the display module, the artificial intelligence control module, the safety protection module and the noise reduction module are arranged, so that the intelligence and the safety of the holographic display system are realized. And the plane holographic unit and the three-dimensional holographic unit of the display module are combined, so that the image display is more three-dimensional and vivid. And the artificial intelligence control module ensures accurate superposition of the images through a deep learning algorithm, so that the accuracy and reality of the display effect are improved.

The invention provides a push-pull type double-layer cigarette packaging box and an opening and closing method thereof. The packaging box comprises a lower shell (1), an upper shell (2), an inner box (3), a lower-layer inner box (4), a partition plate (35), a U-shaped cutting opening (200), a cutting buckle (210) and a connecting part (5). The inner space of the packaging box is divided into an upper layer and a lower layer through the partition plate (35), and cigarettes with different tastes can be stored in the upper layer and the lower layer respectively. The packaging box can be opened and closed easily by pulling up or pushing down the upper shell (2). The connecting part (5) is matched with the U-shaped cutting opening (200) of the lower-layer inner box (4), and it is ensured that the packaging box is opened and closed stably. In the push-pull process of the upper shell (2), the cutting buckle (210) is clamped on one side of the upper portion of the hollowed-out area (100) on the lower portion of the partition plate (35), and the limiting effect is achieved. The packaging box provided by the invention meets the diversified requirements of consumers on cigarette tastes, improves the user experience, is simple in opening process and is very suitable for industrial production.

The utility model relates to the technical field of data transmission, in particular to a high-precision multi-dimensional cross-modulation data acquisition and analysis system. The system comprises a data acquisition module and a data transfer module, and the data acquisition module is connected with the data transfer module; the data acquisition module comprises a dynamic weighing instrument, a laser radar and a camera, the data transfer module comprises a sensor node unit, a communication gateway and a server, the sensor node unit is respectively connected with the dynamic weighing instrument, the laser radar and the camera, and the sensor node unit uploads received data to the communication gateway. The server is used for receiving the uploaded data in the communication gateway and uploading the data to the upper computer, the state, characteristics and behaviors of the vehicle can be known more deeply through the plurality of data acquisition devices, and data acquisition and monitoring can be carried out in a wider area.

The invention discloses a seepage collecting device which comprises a bag body, a base plate and a drainage pipe, the base plate is arranged on the upper portion of the front side of the bag body, the drainage pipe is connected to the bottom of the bag body, the base plate is divided into a left independent plate body and a right independent plate body which are detachably connected with each other, and the two independent plate bodies are connected with the front side of the bag body through corrugated folding structures. A seepage collecting hole is formed in each independent disc body, and two drainage tube extending holes corresponding to the two seepage collecting holes are formed in the upper part of the rear side of the bag body. According to the exudate collection device, exudate collection can be carried out on two drainage positions on a patient by adopting one bag body, the number of the bag bodies does not need to be increased, and the discomfort of the patient can be reduced.

The utility model relates to the technical field of simulated flight training devices, in particular to a simulated cockpit for flight training, which comprises a cockpit main body, a console and a flight seat are arranged in the cockpit main body, a vertical plate is fixedly mounted at the upper end of the front part of the cockpit main body, and a display mechanism is fixedly mounted at the rear end of the vertical plate. The display mechanism is located over the control table and located right in front of the flight seat. According to the simulation cockpit for flight training, accurate adjustment of the height of the curved screen is achieved through threaded connection of the lead screw and the transmission block, the curved screen is made to be located right in front of a pilot, it is avoided that exposed parts exist when the pilot watches the curved screen, the stereoscopic impression and the sense of reality are enhanced, and the training effect is enhanced; meanwhile, the curved screen is composed of the first display screen and the two second display screens, the situation view angle is enlarged, a pilot located in the cockpit body is personally on the scene, the visual impulsive force effect is greatly improved, and the training effect is further improved.

The utility model relates to a glue-making reaction kettle, which comprises a kettle body provided with a driving part, a feed port and a discharge port; the coil pipe is spirally arranged on the periphery of the kettle body; the bottom pipes are arranged at the bottom end of the kettle body, the upper ends of the bottom pipes are communicated with the lower end of the coil pipe, and the lower ends of the bottom pipes are communicated with one another. The bottom pipes are arranged along the radial direction of the kettle body, and the plurality of bottom pipes are circumferentially and uniformly distributed relative to the axis of the kettle body. A medium inlet is formed in the upper end of the coil pipe. A bottom ring is arranged at the bottom end of the kettle body and located on the periphery of the discharging port, and the lower end of the bottom pipe is communicated with the bottom ring. The lower end of the bottom ring is provided with a medium outlet. The inner diameter of the coil pipe is variable. The coil pipe is formed by communicating a first connecting pipe and a second connecting pipe, and the inner diameters of the first connecting pipe and the second connecting pipe are different. The kettle body is provided with a supporting piece, and a pressure sensor is arranged on the supporting piece. The heat transfer area is larger, the turbulence degree of fluid in the coil pipe can be increased, and the heat transfer efficiency is higher.

The invention provides an in-orbit antenna flatness measurement method and system based on a two-dimensional PSD, and the method comprises the steps: arranging the two-dimensional PSD and a surface scanning laser on a satellite antenna and a satellite body, and scanning the two-dimensional PSD through the surface scanning laser; supports with different heights are arranged according to the size of an included angle between a laser scanning line and a photosensitive surface; after the antenna displaces or deflects, the laser scanning track on the photosensitive surface is changed, at the moment, the output value of the PSD is collected, the offset or deflection of the single measuring point of the antenna is calculated, and the flatness of the single measuring point of the antenna is obtained; and calculating the overall flatness value of the antenna by combining the offset and the flatness value of the multiple measurement points, so as to realize real-time monitoring of the flatness of the on-orbit antenna. The measuring system is high in monitoring precision and dimensionality, and can measure the displacement of the antenna in the direction perpendicular to the surface, clockwise or anticlockwise deflection along a certain axis, compound displacement and the like.

The invention provides a complex industrial process operation state evaluation method based on a local slow feature Siamese graph convolutional network. The method comprises the following steps: firstly, establishing a state evaluation offline model; then carrying out operation state evaluation by using online data; process data Xt and Xt-1 are obtained through data collection, and standardization processing is carried out on the process data Xt and Xt-1; and performing data division on the standardized data by using a sliding window to obtain a time sequence with the length of W. Converting the time sequence data into graph structure data through the maximum information coefficient; inputting the process data matrix and the graph structure data matrix into an operation state evaluation model, performing feature extraction on potential features of the graph structure data at two adjacent moments, constraining the potential features by using slow features, and finally obtaining posterior probabilities of the online data belonging to different operation state evaluation grades, the final evaluation result is the state level corresponding to the maximum posterior probability at the current moment; according to the method, a more accurate process operation state evaluation model can be realized.

The invention relates to the technical field of ceramic tiles, in particular to a three-dimensional multi-dimensional colorful light-transmitting ceramic tile and a preparation process thereof. The ceramic tile comprises a colorful rough blank, a pattern layer, a colored crystal grain layer and a protective glaze layer are sequentially arranged on the surface of the blank from bottom to top, and a positioning printing layer is arranged on the bottom face of the blank. Different color layers are designed on the surface and the bottom surface of the colorful rough blank by simulating the texture and the pattern of the natural colored flower stone, and fixed-point colored crystal grains are combined with different layers of pattern layers, glaze layers and the like through multi-layer design, so that accurate color transparency and natural gradual change can be realized to construct a fine layering sense and a rich optical effect; the artistic effect comparable with that of natural colored flower stone is achieved.