196results about How to "Large amount of information" patented technology

The invention discloses a fine-grained sentiment analysis system and method specific to product comment information. The system comprises a user interface, a product comment information training sample data base, a loading module of relevant dictionaries such as sentiment dictionaries, a text preprocessing module, a characteristic extraction module, a sentiment analysis model training module, a sentiment tendency judging module and a feedback module. A user can store and manage various tagged product comment information training samples and perform processes of sentence segmentation, word segmentation, part-of-speech tagging, syntactic analysis and the like by means of the system. The user can also add user-defined sentiment dictionaries to perform characteristic extraction and vectorization on well processed text information, train sentiment analysis models and use the sentiment analysis models to perform sentiment tendency judgment on vectorized text information. The system feeds sentiment analysis results back to the user to support the user to correct and store the analysis results.

The invention discloses a pseudorandom bar code applied to a digital level bar code ruler, belonging to the technical field of manufacture of instruments of surveying and mapping. The pseudorandom bar code is formed by alternatively arranging a plurality of light and shade stripes with different widths, wherein the widths and light and shade changes of the strips are modulated by a plurality of pseudorandom sequences. The strips in the bar code comprise coarse code strips for remote measurement and thin code strips for close measurement. The thin code strips are formed by alternatively arranging light and shade strips with smaller widths, and the width changes of the light strips and shade strips are respectively modulated by a pseudorandom sequence. The coarse code strips are formed by arranging light and shade strips with bigger widths, and the widths and light and shade changes of the strips are modulated by a pseudorandom sequence. The coarse code strips are regularly embedded in the fine code strips to form a complete bar code. The pseudorandom bar code is characterized in that a plurality of pseudorandom sequences are alternatively coded for modulating the widths and light and shade changes of the strips. The pseudorandom bar code has the advantages of compatibility with remote measurement and close measurement, capability of forward measurement and backward measurement, simplicity in making a staff gauge, low requirement for a hardware system, small decoding operand, and rapidness and accuracy in identification.

The invention relates to a method for detecting vehicle motion information based on integration of binocular stereoscopic vision and optical flow, and the method comprises the following steps of: analyzing and processing left and right image sequences taken by a binocular stereoscopic camera, and acquiring motion information of the three-dimensional space velocity and angle velocity of the car body through feature matching, three-dimensional reconstruction, feature extraction and optical flow estimation, in order to estimate motion information of the car body. As a new method for detecting car motion parameters, it is simply installed, applied to the actual operating environment of the car, high in precision and strong in real time. By the method, inaccurate reading numbers and measuring errors occurred by environmental factors can be effectively reduced, and the visual sensor has the advantages of simple structure and much information and can provide a mass of other information. The system selects ground points as interested feature points to effectively reduce interference of the motion object and improve estimation precision. At the same time, by the method, steadiness and robustness of the algorithm can be enhanced by fully utilizing depth information.

A road traffic detection system comprises one or more of an RFID reader-writer, a photosensitive sensor, a laser detector, a camera, a weight sensor, an inductance coil, an infrared light curtain, a sound sensor and a temperature sensor. A traffic detection front system is formed by an RFID label which is named as an Eplate and is installed on a vehicle and the above element in the road traffic detection system. Compared to a traditional video analysis traffic information acquisition method, by using the system of the invention, data is accurate; information contents are large; a related information collection ability is strong and a certain intelligent processing and reaction ability is possessed.

The invention relates to a streaming media application method in panoramic virtual reality roaming. Panoramic streaming media integrated with additional information is applied to panoramic virtual roaming and the panoramic virtual roaming with continuous viewpoints is realized. The streaming media application method in panoramic virtual reality roaming comprises the following steps of: 1) compressing and encoding image data by utilizing a streaming media video compressing and encoding manner and integrating the additional information; 2) determining an initial user roaming location, returningcorresponding streaming media file information to a client through inquiring a database, analyzing streaming media files, and establishing a data structure used for buffer management; and 3) displaying panoramic images and the additional information, and displaying additional information corresponding to each frame of panoramic image in panoramic virtual roaming in a manner of continuous viewpoints. According to the streaming media application method in panoramic virtual reality roaming, the panoramic images and the additional information are compressed into a streaming media format, thus thedefects of the traditional network-based panoramic virtual roaming are overcome, the user waiting time is shortened, and a novel technical line is provided for the network data transmission in panoramic virtual reality roaming.

The invention discloses a method for preventing and distinguishing fake products by using the internet and two-dimension codes. The method comprises the following steps of: 1) randomly setting a set of unique two-dimension codes for each product by a manufacturer; 2) logging on an official database of the manufacturer through the internet to realize butting, wherein each time the two-dimension codes are scanned, a two-dimension code counter automatically accumulates a count; 3) scanning and logging on to verify the two-dimensional codes; and 4) judging whether a product is genuine by displaying the counting numerical value of the two-dimension code counter and the related identity information of a two-dimension code recognizer on the two-dimension code recognizer which scans the two-dimension codes at the same time. The method has the beneficial technical effect that the two-dimension code recognizer is combined with the internet to quickly identify the authenticity of the product on the spot through simple scanning, so that the aims of identifying and cracking down on fake products by the entire population of a country and ensuring that the fake products have no place to hide and disappear from the scene are achieved.

The invention relates to a security three-dimensional electronic map for rapid deployment and real-time rendering, comprising a virtual device manager, an action pre-setter, a field manager, a renderer, a rendering resource distributor, a security monitoring three-dimensional model library and a user interface. The map applies a three-dimensional field map in the security monitoring system to replace the traditional two-dimensional electronic map and the expandable model library is designed according to the characteristics of the security monitoring system, thus realizing the rapid deployment of the electronic map. The models in the model library carry out the control on the complexity of the structure and the texture against the specific needs of the security monitoring, sharing of the rendering resources, rendering, reducing and other means are simultaneously adopted to realize the aim of real-time rendering. The map is in line with the application requirements on district division rendering, detail control and all-direction roaming of the security monitoring field. The concept of the virtual device is introduced, the expansion and compatibility of the device can be realized by the deployment of a database; the map can rapidly set up various fields, provide the real-time rendering performance, thus improving the visualization and the modernization level of the security monitoring system.

The invention discloses a method for recommending documents based on tags and a document recommending device. The method comprises the following steps of: receiving a document tag selected by a user, searching a previously set synonym word collection and obtaining a synonym group corresponding to the document tag; according to the obtained synonym group, searching and obtaining a document list containing the synonym group from a previously stored document library; calculating the characteristic value of each document in the document list containing the synonym group, and constructing a space weight vector based on the document tag; and according to the constructed space weight vector based on the document tag, calculating the similarity of documents corresponding to the document tag with each document in the document list, selecting a preset number of documents with the highest similarity as searched results and outputting the searched results. Through the application of the method and the device, the document recommending efficiency can be increased.

The invention relates to a distributed self-adapting industrial wireless network energy saving method for reducing the energy consumption of nodes in industrial wireless monitoring network, belonging to industrial wireless communication technology field. The energy saving project comprises: sorting all devices in the whole wireless network into node device (ND) for acquiring and sending data, energy manager for gathering and transmitting data and managing the energy consumption of the node devices, and gateway (GW) for communicating between the wireless network users and transferring monitoring data and energy managing data. By using energy manager to control the energy consumption of each node, the method provided in the invention enable the industrial wireless network to prolong network life cycle, adjust the dormancy time of the node self-adaptingly and enlarge the information amount of wireless messages, consequently, reduces the energy consumption of nodes in industrial wireless monitoring network and furthest reduces communication energy consumption.

The invention provides a control system, valve base control equipment and a submodule integration method. Valve base control equipment consists of two symmetric screen cabinets, wherein each screen cabinet is provided with a power supply unit, a current control unit and a bridge arm control unit; and controllers of the valve base control equipment, a control system and a submodule are connected with one another through optical fibers. All communication interfaces are in a CRC (Cyclic Redundancy Check) check based optical fiber serial communication mode of a reverse Manchester encoding form, so that data throughput is greatly increased, system control time delay is reduced, and real-time control and protection functions of a modularized multi-level flexible direct current valve can be finished. In the method, a hardware structure of the current control unit and the bridge arm control unit is adopted, so that system-level current balance control and valve-level capacitive voltage balance control are clearly divided, and the requirements for modularized multi-level real-time control are met.

The invention discloses a method and a device for searching for contact persons in the real-time interaction of mobile communication equipment. The device comprises a user input module, a local storage module, a local searching module, a local ordering module, a local display module, a selection module and a display module, wherein the user input module is used for providing an input entry for a user to searching for the contact persons; the local storage module is used for storing information about the contact persons of the user; the local searching module is used for searching for the contact persons from the local storage module; the local ordering module is used for ordering the contact persons according to degrees of intimacy with the user; the local display module is used for displaying the information about the contact persons on a client interface; the selection module is used for the user to select the contact persons; and the display module is used for displaying the information about the contact persons. The method and the device have the advantages of bringing convenience for the searching of the user by arranging in front the contact persons intimate with the user, bringing convenience to communication between the user and the contact persons by adding a real-time communication contact way, accurately ordering the contact persons, and enabling the user to search for the contact information of the contact persons from a social network when the mobile communication equipment of the user is changed or lost.

The invention discloses a wave front correction method based on defocused image training, and a device used by the method comprises an image acquisition module, a neural network module, a voltage conversion module and an actuating mechanism. The method comprises the following steps that the incident light is converged into defocused light spots through an optical prism; the image acquisition module is responsible for acquiring defocused light spots; after a large number of defocused light spot image training, the neural network module fits corresponding Zernike coefficients according to the image characteristics transmitted by the image acquisition module; the voltage conversion module establishes the relationship between the Zernike coefficient and a driving voltage; and finally, an execution mechanism realizes the correction of the wave front distortion generated by the atmospheric turbulence according to the fitted Zernike coefficients. The wave front correction method based on defocused image training does not need to use a Hartmann wave front detector and the like, and improves the utilization rate of light beam energy. The loop iteration process is not needed, the bandwidth is high, and the requirement of real-time performance is met. Only a single defocused image is needed to be collected for neural network training, so that the workload of image collection is reduced, and the information quantity of sample light spots is increased.

The invention discloses a multi-window playing method and system, which are capable of meeting the demand of diversification of multimedia information broadcasting. According to the technical scheme, the multi-window playing method comprises the following steps of producing a program template at background, wherein the program template is designed as playing multiple playing sub-windows at a terminal device; putting the produced program template to the terminal device; reading and analyzing the program template by the terminal device; obtaining areas of different playing sub-windows and film source information of the program from an analyzing template by the terminal device; calculating a terminal display area corresponding to the area of each playing sub-window in the template; and playing the program corresponding to the analyzed film source information on the calculated terminal display area.

The invention discloses a specific scene model upgrading method based on federated learning. The method comprises the following steps: selecting an AI terminal; marking all scene data in a marking module of each AI terminal, storing the scene data in the local of the terminal, calling an intelligent classification and statistics module to perform classification statistics on the scene data, and reporting the scene data to an alliance statistics module; forming a federated learning alliance by the terminals similar to the usage scenarios, wherein after a preset updating condition is met, the alliance statistical management module triggers and starts transverse federation learning training of the updating model; screening the training data before the training of the updating model; performing a learning updating process by the transverse federation; in the process, the preset updating condition can be modified along with the increase of the number of terminals and the increase of data volume, and iterative updating is continued. According to the invention, the problems of low model updating and upgrading efficiency of the artificial intelligence terminal and low accuracy in an actualuse scene can be solved.

An identification system based on combination of a dorsal hand vein and a hand shape and a method thereof are disclosed. According to a vein imaging characteristic, acquisition modes of two modes: far-infrared thermal imaging and near-infrared imaging are designed. According to an infrared thermal imaging theory, an infrared thermal imager is used to realize far-infrared dorsal hand vein imaging. According to a near infrared imaging theory, a LED array with an 850nm peak wavelength is used to emit infrared light to irradiate back of the hand. A near infrared CCD is used to collect dorsal hand vein images so as to realize the near infrared dorsal hand vein imaging. By using the identification method of the combination of the dorsal hand vein and the hand shape, the acquired image is processed so as to extract a characteristic vector of the dorsal hand vein and the hand shape. The characteristic vector is matched with the stored characteristic vector so as to obtain an identification result. According to the invention, two kinds of biological information on the hand are used and collected once. Through carrying out extraction of two kinds of the biological information and identification on the acquired image, a collected information amount can be increased and an identification rate can be increased too. Compared to single biology identification, the method of the invention is accurate and secure, and has anti-falsification and applicability.

The invention discloses a quick detecting method of the edible vegetable oil quality through using an attenuated total reflection Fourier infrared spectroscopy, and the problems that the current detecting method can not verify whether the edible vegetable oil is repeatedly heated at high temperature or whether swill-cooked dirty oil is mixed in fresh edible vegetable oil can be solved. The method comprises the steps of: indicating the change of oil ingredients by fully utilizing the changes of the peak shape and the peak height of an infrared second derivative spectrometry; measuring the content of trans-fatty acids in the edible vegetable oil through absorbance of a characteristic absorption peak at 966.50cm<-1>; judging whether the edible vegetable oil is heated through the change of the characteristic peak at 988cm<-1>, and calculating the heating time; and determining whether the edible vegetable oil is swill-cooked dirty oil through the change of the characteristic absorption peak at 988cm<-1>. The quick detecting method of the edible vegetable oil quality is simple in operation, low in cost, free of pollution, high in detecting precision, and quick and accurate and can be capable of judging an edible vegetable oil sample to be detected which is repeatedly heated at the high temperature, the swill-cooked dirty oil and the swill-cooked dirty oil mixed in the fresh edible vegetable oil.

The invention discloses a global characteristic visulization and local characteristic combined malicious code classification method. The method comprises the steps of calculating three characteristicvalues for blocking of a malicious code binary file, wherein each characteristic value correspondingly fills one color channel and the malicious code binary file is visualized into an RGB (Red, Greenand Blue) color image; then extracting global characteristics of the RGB color image, and extracting local characteristics from a core region of the malicious code binary file; and performing family classification on malicious codes in combination with the global and local characteristics. With the global characteristic visulization and local characteristic combined malicious code classification method, the amount of information represented by the malicious codes is increased, the image stability and an error-tolerant rate of a classification model are improved, the local characteristics are extracted from the core region of the malicious code binary file to make up for the defect that the grouping capability of the global characteristics is inadequate when a malicious code variant changesgreatly; furthermore, the combination of the global characteristics and the local characteristics has stronger robustness when the changeful malicious code variant is faced, and the classification accuracy of the malicious codes is improved to a great extent.

The invention relates to a switch displacement island detection and direct-trip island protection method based on wide area information, which belongs to the technical field of power system relay protection. The method comprises the following steps of when the state of a certain island associated switch varies in the grid-connected running processing of a system including DGs (Distributed Generators), making the system perform one-time island detection and judgment; if a certain DG in the system is judged to be in an island running state, starting anti-island protection, and making the DG exit running; otherwise, making the system perform one-time island associated switch path scanning. According to the method, wide area information is acquired automatically by using a feeder line arranged in the system, and each feeder line automatic terminal only needs to exchange a switch state signal with an adjacent feeder line automatic terminal, so that those distributed power supplies in island running can be judged rapidly, and distributed power supplies with islands are protected.

The invention brings forward a distributed fiber monitoring method and system for strains and stresses of a ship lock structure. The system comprises distributed sensitive optical cables, a data acquisition device, and a data processing and analyzing module; and the distributed sensitive optical cables are laid into tops and bottoms or inner surfaces and outer surfaces of reinforced concrete surface layers of a lock head base plate, a water delivery gallery, a lock chamber base plate, and a lock chamber wall by a way of binding with main ribs so as to form a U-shaped loop. After concrete pouring is completed for laying of the distributed sensitive optical cables into the tops and bottoms or inner surfaces and outer surfaces of the reinforced concrete surface layers of the lock head base plate, the water delivery gallery, the lock chamber base plate, and the lock chamber wall by a way of binding with main ribs, the distance between the sensitive optical cables and the surfaces of the concretes is 5 to 10cm; and the sensitive optical cables are deformed synchronously with the reinforced concrete structures and optical fiber sensors generate corresponding stresses. And a data acquisition station is established at the top of the lock head; and the laid sensitive optical cables lines are connected to the data acquisition station by optical cables.

The invention discloses a CT-XA-image-multi-dimension-fusion-based-based simulation navigation system and method. A CT simulated XA image and a CT-XA fused image can be obtained through a CT coronary artery 3D image extraction and rebuilding module, a CT coronary artery analysis module, a CT coronary artery 3D image simulation XA angiocardiography 2D image module and a CT coronary artery 3D image and XA angiocardiography 2D image registration fusing and displaying module; the high registration accuracy and the whole process full automation can be achieved without accurately dividing an XA blood vessel, a plurality of common XA angiocardiography positions are preset, and angiocardiography position user defining can be further supported. By means of the CT-XA-image-multi-dimension-fusion-based-based simulation navigation system and method, the problem that the XA blood vessel cannot be displayed due to blood vessel blocking is well solved, the position and the direction of the blood vessel are further obtained, and the multi-position and multi-step single-frame single-branch blood vessel fusing navigation of XAs and the CT coronary artery is achieved.

The invention discloses a method for real-time collection and fixing of an electronic evidence. The method comprises the following steps: a client collects an original evidence in a real-time manner through collection equipment; the client uploads the original evidence in a real-time manner to an evidence fixing server; and the evidence fixing server generates an electronic evidence stamp according to the original evidence, and saves the electronic evidence stamp in a storage device. The invention further discloses a system for real-time collection and fixing of the electronic evidence, which comprises the collection equipment, the evidence fixing server, an evidence saving server, and the storage device. The method and system provided by the invention has the advantages that the idea of ''real-time collection and real-time fixing'' is adopted to ensure that the electronic evidence, if tampered after the collection, cannot be successfully validated, so that legal effects of the electronic evidence can be effectively guaranteed.

The invention belongs to the technical field of aviation electronics and particularly relates to a synchronous flight data and multi-channel video and audio data playback method. According to the method, a system structure composed of a main control module and two controlled modules is formed among a flight data playback module, an audio data playback module and a video data playback module, and a TCP/IP protocol is used as an underlying communication basis among the modules. The main control module sends a play time stamp thereof and a system reference time to the controlled modules, and the controlled modules calculates the communication time delay with the use of the system reference time, calculates the play time difference with the use of the play time stamp, calculates the play progress difference by summing the communication time delay and the play time difference and modifies the play progress thereof according to the play progress difference so as to be consistent with the main control module in play progress. The method of the invention enables synchronous playback of flight data, audio data and video data to be realized accurately and stably and can achieve a better visual effect.

The present invention provides a method for distinguishing nonlinear subspace of one-dimensional distance image which belongs to field of radar target recognition. Target one-dimensional distance image is transferred nonlinearly and mapped to high-dimensional characteristic space, nonlinear regular sub-image characteristics of each kind of target is obtained by characteristic transform matrix of high-dimensional characteristic space to form nonlinear sub-image space of each kinds of target, when the radar one-dimensional distance image of target is input, the sort of one-dimensional distance image is determined according to Euclidean distance between nonlinear regular sub-image and nonlinear sub-image space. Step: radar one-dimensional distance image training vector of target is determined; between-class scatter matrix sB after nonlinear transform and kernel function are determined; nonzero eigenvalue of C and corresponding eigenvector are determined; kind-in scatter matrix Q is determined; nonzero eigenvalue of Q and corresponding eigenvector are determined; all training one-dimensional distance image nonlinear regular sub-image of each kind target are determined; nonlinear sub-image space of each kind of target is determined; input one-dimensional distance image nonlinear regular sub-image of target is dertermined; Euclidean distance between nonlinear regular sub-image and nonlinear sub-image space is determined; sort number of input target one-dimensional distance image is determined.

The invention provides a system and method for confirming recommended contents. The system comprises an extraction unit, a storage unit, and a recommended content confirming unit. The extraction unit is configured to extract one or more characteristic phrases relevant to an object and one or more descriptive phrases relevant to each characteristic phrase, and respectively combine each characteristic phrase extracted from comments on the object and one or more descriptive phrases corresponding to each characteristic phrase into a characteristic-descriptive pair about the object. The storage unit is configured to extract characteristic-descriptive pairs about each object and common appearance times of each characteristic-descriptive pair of each object. The recommended content confirming unit is configured to calculate common appearance frequency of each characteristic-descriptive pair about a specific object when recommended contents of the specific object are confirmed, and confirm the recommended contents, to be presented, about the specific object on the basis of the common appearance frequency of each characteristic-descriptive pair of the specific object.

The invention discloses an action set output method and system based on multi-agent reinforcement learning. The method comprises the following steps: S1, constructing a model architecture of a tree structure; s2, modeling each child node in the tree structure constructed in the step S1 as an intelligent agent, and modeling a multi-intelligent-agent reinforcement learning system through a hierarchical extended Markov game; s3, enabling all agents to interact with the environment, and carrying out reinforcement learning training to form an action set output model; and S4, scoring each action inthe action space to be processed by utilizing the multi-agent reinforcement learning action set output model, and generating a target action set for recommendation. According to the method, a multi-agent reinforcement learning method is used for processing an action set decision problem of a large-scale action space, so that good expandability and more accurate and faster training and reasoning speed can be obtained; according to the invention, the MCTS algorithm is used to increase the amount of information for decision making of the upper-layer agent, effective search can be carried out, anda more accurate decision can be obtained.

A multi-scale scene matching area selecting method obtains a plurality of reference images of the same scene area with different scales. When an aircraft flies, an image sensor on the aircraft obtains real-time images of grounds right under the aircraft. Then reference sub-images as large as one of the to-be-matched real-time images are cut out from the obtained reference images, and the method determines if the cut-out reference sub-images satisfy the requirements of indices. If the cut-out reference sub-images obtained from the reference images with different scales are all corresponding to the same area, the area is the scene matching area. The scene matching areas selected with the method are characterized by providing a large amount of information, having significant features and good adaptability, being highly resistant to interference, and the like. The method selects the scene matching area based on the reference images with different scales while maintaining the size of the real-time image, and the sub-images of the scene matching area on all scales satisfy the index requirements, and thus the scene matching area has strong robustness.

The invention discloses an analysis method of an unmanned aerial vehicle detection range. The analysis method comprises the following steps: S1: dividing a target region into grids, and calculating the area of a three-dimensional terrain corresponding to each grid; S2: constructing a virtual camera view frustum, carrying out intersection calculation on the virtual camera view frustum and the three-dimensional terrain through GPU (Graphics Processing Unit) automatic cutting, calculating the detection range of an unmanned aerial vehicle wave beam, obtaining a practical region area detected by the one-time wave beam scanning of the unmanned aerial vehicle, and meanwhile, recording the irradiation duration and distance of all grids in a boundary line; and S3: in a whole detection process, carrying out statistics on the practical region area detected by each-time scanning wave, and the irradiation duration and distance of all grids in the boundary line, and carrying out coloring on the grids according to the irradiation area, duration and distance of the grids. By use of the analysis method of an unmanned aerial vehicle detection range, the detected terrain is preprocessed, the detection range can be quickly calculated through hardware cutting, detection information is displayed through a color temperature map, an amount of information is large, and an effect is visual.

The invention provides a device for identifying a parking space state and a method. A white block diagram is drawn on the ground of a parking space and a vision identifying signal for judging whether the space is occupied or not is provided. The system mainly comprises a singlechip minimum system circuit board, a signal collecting processing module and a communication module. By using the visual advantage of the invention, compared with a traditional parking space monitoring mode, dynamic image threshold computation and self-adaptation adjustment for a specific environment are designed; the device has an efficient judging mode; an idle state of the parking space can be judged within short time; and the invention can be used for enhancing the intelligent degree and the management level of a parking lot and obtaining higher economic benefit and good social benefit.

The invention discloses an information display method and an information display device and belongs to the technical field of networks. The method comprises the following steps: acquiring an information viewing operation performed on information related to a first user by the first user; acquiring position point information included in the information; obtaining at least one second user according to the position point information, wherein the second user is included in a user relationship link of the first user and history information issued by the second user comprises the position point information; displaying the second user to the first user. According to the method, the first user can acquire friends issuing the position point formation, the information amount of a position point is increased, the first user can better learn of the position point, and the position point information is more specific, so that the specific information requirement of the first user is met.

The invention discloses a run length coding-based two-dimensional code information hiding method. The method comprises the following steps of: simultaneously processing carrier information carrier andsecret information set; Before a two-dimensional code is generated, embedding secret information secret to be encrypted into carrier information card through an encryption algorithm, then generatingencrypted information into a two-dimensional code image QR, and genertaing a key Key; enabling The sender to send the two-dimensional code image QR to a receiver; And after receiving the QR of the two-dimensional code image, enabling the receiver to decrypt the QR through a decryption algorithm to obtain carrier information carrier and secret information set. And compressing the text information by adopting a run-length coding algorithm to obtain bits in which information can be embedded, thereby achieving the encryption purpose of the invention. The two-dimensional code information hiding method based on run-length coding has the advantages of being large in transmitted information amount, good in information concealment, high in robustness and compression resistance, high in safety and the like.