518results about How to "Improve privacy" patented technology

The invention relates to power distribution network fault processing equipment applied to the technical field of power distribution, and aims to improve the fault prediction, diagnosis and processing capabilities of a power system. The equipment comprises a pre-training module, a neural network architecture module, a data acquisition layer, an edge calculation layer, a core processing layer, a context learning module, a reasoning processing module, an output and interaction layer and a continuous learning and improvement layer, and is characterized in that a large-scale pre-trained Transform model is utilized, and professional knowledge of a power system is combined; according to the method, deep understanding and analysis of a complex power grid state are realized, through multi-source data fusion, edge calculation and central cooperative processing, the equipment can monitor the power grid state in real time, accurately predict potential faults and provide intelligent diagnosis and repair suggestions, and model pre-training and optimization are performed by adopting self-supervised learning and federated learning technologies; using reinforcement learning to optimize a fault response strategy; the interpretability of the model is realized, and the decision transparency is improved.

The invention discloses a block chain multi-node secure communication method for an industrial internet, and the method comprises the steps: constructing a multi-chain cooperation mechanism, and obtaining an inter-chain interaction path table; determining a task partition optimization scheme and inter-chain interaction path update data based on the inter-chain interaction path table; matching an adaptive node resource for each task according to a task partition optimization scheme; determining an encryption mechanism between a cross-chain protocol and a block chain according to the security requirement of the task; constructing a multi-level block chain node hierarchical architecture and an intra-chain and inter-chain communication architecture, and formulating a parallel communication scheduling scheme; formulating a dynamic load balancing strategy based on the node resource use condition and the task execution state; and obtaining the task execution progress and the resource use condition of each block chain node, and adjusting the task scheduling and cross-chain communication path. Through the multi-dimensional collaborative design, the execution efficiency, the resource utilization rate and the communication security of the industrial internet are remarkably improved, and the stability and the reliability in a complex multi-chain collaborative scene are ensured.

The invention relates to a gradient aggregation federated learning method based on combination of zero knowledge proof and a block chain technology, and belongs to the field of distributed machine learning. Through combination of zero knowledge proof (zk-SNARK) and an extensible block chain technology, limitations of a traditional method in aspects of data privacy protection and model verification are broken through. According to the method, the correctness of a global model is verified by using zero-knowledge proof, the transparency and data privacy of an aggregation process are ensured, the Chinese remainder theorem is introduced to compress the proof, and the storage burden of block chain nodes is reduced. And the hash value updated by the encryption model is recorded through the block chain, verification is carried out based on a block chain consensus node, and the data integrity and the system transparency are further improved. Besides, a dynamic client selection mechanism is introduced in the method, participants are optimized based on training performance scores, and the training efficiency and the model quality are improved. As a whole, the invention provides a safe, efficient and transparent distributed learning solution.

The invention relates to a display panel, a manufacturing method thereof and a display device. The display panel comprises a substrate, peep-proof pixel units, display pixel units and a first shading structure. Each peep-proof pixel unit comprises a peep-proof sub-pixel arranged on one side of the substrate; the peep-proof pixel units are configured to be displayed in a first state; the display pixel unit comprises display sub-pixels arranged on one side of the substrate; the orthographic projection of the display sub-pixel on the substrate is arranged around at least part of the outer contour of the orthographic projection of the corresponding peep-proof sub-pixel on the substrate; the display pixel unit is configured to display in a second state; the first shading structure is arranged on one side of the substrate, and the orthographic projection of the first shading structure on the substrate is located between the orthographic projection of the display sub-pixel on the substrate and the orthographic projection of the peep-proof sub-pixel on the substrate; the orthographic projection of the first shading structure on the substrate is arranged around at least part of the outer contour of the orthographic projection of the peep-proof sub-pixel on the substrate; therefore, the dynamic peep-proof effect of the display panel can be realized, and the display effect and the peep-proof effect of the display panel are improved.

The invention discloses a blockchain and homomorphic encryption-based power data privacy protection method and system, and belongs to the technical field of power data privacy protection, and the method comprises the steps that a data provider encrypts power data by using Paillier homomorphic encryption, uploads a ciphertext hash value to a blockchain, carries out the digital signature of a ciphertext, divides a key, and carries out the encryption of the key; enabling each data demander to receive the ciphertext, the signature and the key fragment; and the data demander performs cooperative decryption after performing data source and integrity verification to obtain a plaintext. Through distributed storage of a key sharing scheme, the security of the key is remarkably improved, single-point faults are avoided, the fault tolerance of the whole system is improved, and the flexibility of data transaction is optimized; for a mass data transaction process, the encryption and decryption efficiency is improved, the data processing speed and performance are improved, the real-time performance of data transaction is ensured, the resource consumption is reduced, and the user experience is improved.

The invention discloses a BIM (Building Information Modeling) data security protection system based on encryption and role permission control. The BIM data security protection system comprises a multi-level data encryption module, a role permission control module, a real-time security monitoring and auditing module, a user identity authentication module and a system deployment and maintenance module, according to the BIM data security protection system based on encryption and role permission control, through mechanisms such as multi-level data encryption, fine permission control, real-time security monitoring and auditing and multi-factor identity authentication, the security and privacy of BIM data in the storage, transmission and use processes are effectively improved.

The invention discloses a display panel and a display device, relates to the technical field of display, and can reduce the problem of large-viewing-angle light leakage of the display panel and improve the peep-proof effect of the display panel. The display panel comprises a driving substrate, and the driving substrate comprises a substrate layer and a driving layer; the light-emitting device layer is arranged on the side, away from the substrate layer, of the driving layer; the at least two shading structures are arranged on the side, away from the substrate layer, of the light emitting device layer, and an isolation layer is arranged between the at least two shading structures; the light-emitting device layer comprises a pixel defining layer, a light-emitting layer and a reflection structure, the pixel defining layer comprises a plurality of pixel openings, the light-emitting layer is arranged on the pixel openings, and at least part of the reflection structure is arranged on the inner walls of the pixel openings; the shading structure is provided with a plurality of hollows, and orthographic projections of the hollows on the substrate layer cover orthographic projections of the pixel openings on the substrate layer.

The invention discloses an intelligent power conversion cabinet control system and a power conversion cabinet, and relates to the technical field of power conversion cabinet control, and the system comprises a user interaction module, a touch screen and voice recognition convenient operation, and multilingual interaction; the battery management module is used for accurately monitoring parameters, quickly early warning abnormity and intelligently regulating and controlling charging and discharging; the battery replacement control module is high in identity verification speed and stable, accurate and fast in battery replacement operation; the data storage and analysis module is used for mass data storage and deep mining; the communication module is used for realizing dual-mode stable transmission and encrypted cache; the cabinet body comprises a plurality of battery cabins, the protection is comprehensive, the heat dissipation is intelligent, the modular design is beneficial to expansion, and the high-speed bus is strongly connected. The system is convenient in interaction and efficient in battery replacement. The battery management is accurate, the service life is prolonged, the data-driven operation is optimized, the communication is safe and stable, the remote monitoring is convenient, the cabinet body design is reasonable, the protection and heat dissipation are good, the modularization is flexible, the battery replacement service experience and operation benefits are powerfully improved, and the development of the intelligent battery replacement field is promoted.

The invention relates to the technical field of fault diagnosis, and discloses a vehicle fault diagnosis system and method, a vehicle terminal and a storage medium, the system comprises the vehicle terminal and an edge calculation center, the vehicle terminal is used for collecting diagnosis fault codes and vehicle operation data of the vehicle terminal, and if a first fault code is found in the diagnosis fault codes, the vehicle operation data is sent to the edge calculation center; if yes, determining a first fault result according to the first fault code; if a second fault code is found in the diagnosis fault code, an edge node is determined according to the position information of the vehicle terminal, the edge node is connected, the second fault code and second operation data corresponding to the second fault code are sent to the edge node, the edge node is at least one of edge calculation centers, and the edge calculation centers are connected to the edge node; the edge node is used for performing fault diagnosis according to a third fault code and third operation data corresponding to the third fault code if the third fault code is found in the received second fault code to obtain a second diagnosis result; through the method, a more practical and more accurate vehicle fault diagnosis system is provided.

The invention discloses a data sharing privacy protection enhancement method and system in a power grid cloud environment. The method comprises the steps that a trusted access control center generates a system public key, a system key, a user public and private key pair, an attribute public and private key, an attribute request private key and a re-encryption key; the data owner divides data attributes into a sensitive part and a non-sensitive part, noise meeting differential privacy protection is added to a sensitive field, the sensitive part and the non-sensitive part after noise adding are combined, and a privacy data set is obtained; the data owner uploads the encrypted privacy data set to a cloud server; the cloud service provider converts the ciphertext into the ciphertext of the data user through a re-encryption algorithm; and the data user performs analysis processing by using the decrypted privacy data set. According to the method, the time for the data owner and the data user to access the resources on the cloud is saved, the privacy protection intensity and the data availability are optimized and balanced, and the privacy and the security of the power data in the transmission, storage and application processes are improved.

The invention discloses an unmanned aerial vehicle assisted Internet of Vehicles cross-domain authentication method based on a block chain and federated learning, and the method comprises the steps: initializing an Internet of Vehicles system, and generating system initialization common parameters; the vehicle and the unmanned aerial vehicle complete identity registration with the control center, and the vehicle performs login verification; and respectively carrying out initial authentication and cross-domain authentication on the vehicles which are successfully logged in and verified, guaranteeing the communication security through key negotiation, and completing the cross-domain authentication of the unmanned aerial vehicle assisted Internet of Vehicles. According to the method, the reliability and the security of data in the cross-domain authentication process are realized, the privacy of the data is improved, relatively low calculation and transmission overhead in the cross-domain authentication process is realized, and the authentication efficiency is improved.

The invention relates to the technical field of intelligent management and control of ships, and discloses an intelligent management and control method and system on a large and medium-sized ship terminal, and the method comprises the steps: detecting meteorological conditions in real time through meteorological and hydrological collection equipment, providing important navigation information, predicting severe weather to ensure the navigation safety, and carrying out the route planning through combining the meteorological condition data; a camera is used for monitoring a key area of the ship, mastering the operation condition of the ship in real time, carrying out safety monitoring on the ship, and carrying out key event detection; the edge gateway is used as a connection and conversion medium between different networks; the position, identity and speed information of the ships is automatically sent and received through the AI automatic recognition system, and communication and recognition between the ships and between the ships and a shore-based management mechanism are helped. By installing meteorological and hydrological acquisition equipment, cameras, edge gateways, AIS and other production data acquisition equipment on large and medium-sized ships, intelligent management and control of real-time hydrological and hydrological information monitoring, unmanned driving recognition and personnel behavior recognition are achieved.

The invention discloses a body intelligent execution and training method and device based on an edge-end cooperation large model, and the method comprises the steps: transmitting a voice instruction to a robot body, converting the voice instruction into a text instruction through the robot body, and transmitting the text instruction, machine vision feedback and a visual image to an edge side unit; a multi-modal large model is arranged in the edge side unit; reasoning the text instruction, the machine vision feedback and the vision image by the multi-modal large model, obtaining the intention of the text instruction after reasoning, generating a task decomposition instruction according to the intention, and sending the task decomposition instruction to the robot body; the robot body calls a chassis moving API and an atomic skill library API according to the task decomposition instruction to complete a target task; and after the target task is completed, the robot body feeds back process algorithm data and an execution effect to the edge side unit, and the edge side unit carries out post-training upgrading according to the feedback. According to the method, the large model reasoning time delay and cost can be effectively reduced, the load of the cloud server is reduced, and the data security and privacy are improved.

The invention provides an edge computing resource allocation method and system based on multi-objective optimization, and relates to the field of data processing, and the method comprises the steps: determining the resource demand feature of each unmanned retail store and the resource demand association feature between any two unmanned retail stores according to the historical computing resource demand information of a plurality of unmanned retail stores, determining an edge calculation layout scheme, and setting a plurality of edge calculation devices; predicting future computing resource demands of the plurality of unmanned retail stores according to the resource demand feature of each unmanned retail store, the resource demand association feature between any two unmanned retail stores and the demand prediction auxiliary information; acquiring resource allocation auxiliary information; according to the method, the edge computing resource allocation scheme is determined according to the future computing resource demands and the resource allocation auxiliary information of the unmanned retail stores, the edge computing resources are allocated to the unmanned retail stores, and the method has the advantage of improving the flexibility of edge computing resource allocation in an unmanned retail scene.

The invention discloses a financial transaction data intelligent protection method and system based on a block chain, and belongs to the technical field of block chains, and the method comprises the steps: collecting financial transaction data from a data source of a financial transaction system, and carrying out the cleaning, format unification and abnormal value detection processing; dynamic encryption strength adjustment is carried out through the smart contract according to the sensitivity and the purpose of the transaction data, compared with a traditional fixed encryption mode, data can be protected more accurately, identity authentication is carried out in combination with a zero-knowledge proof mechanism, specific identity information does not need to be exposed in the identity authentication process, identity information leakage is effectively prevented, and user experience is improved. Encrypted financial transaction data are recorded in a block chain, it is ensured that the data are not maliciously tampered in the storage and transmission process through the non-tampering characteristic of the block chain, each transaction generates a unique hash value as an identity identifier, and decentralized propagation and consensus verification are performed in a block chain network, so that the security of the transaction is improved. And the integrity and credibility of the data are further enhanced.

The invention relates to the technical field of image processing, and discloses an image data set construction method and system, and the method comprises the steps: employing a multi-mode large model CLIP to recognize the defects of an existing image data set, and carrying out the supplementation; annotating the image data set obtained after supplementation, and ensuring the annotation accuracy through multi-level quality control; expanding the marked image data set; and fusing the expanded image data set with other modal data to complete the construction of the final image data set. According to the method, the accuracy of data acquisition and the labeling efficiency are improved, the accuracy and the consistency of data labeling are improved, and human errors are reduced; according to the method, the data set can be dynamically expanded, so that the data set is more diversified, and the generalization ability of the model is improved; the method supports the fusion of the image and other modalities, and enhances the application scene and flexibility of an image data set by using the cross-modal alignment capability of a large model.

The invention discloses a plug-in-based real-time acquisition and manual analysis method for webpage data without a fixed format. Real-time integrated operation of data acquisition, labeling and uploading is realized through a browser plug-in. A user selects target data through a floating window interface, and a plug-in automatically extracts content, identifies a platform source, performs quick labeling in combination with a preset analysis label and uploads the data to a background. According to the method, the flexibility of manual judgment and the high efficiency of an automation technology are fused, and the method can adapt to multiple platforms including high-protection dynamic webpages without developing a customized tool for a target website. The floating window supports operations such as dragging and zooming, so that the user experience is improved; the labeling is completed by data acquisition, so that the processing chain is effectively shortened, and the efficiency and accuracy are remarkably improved. The system supports authority management, encrypted transmission and real-time statistical analysis, and ensures data security and efficient utilization.

The invention provides a power distribution network data topology restoration method and device, electronic equipment and a storage medium, and relates to the technical field of power systems. The method comprises the steps that a first participation device obtains multiple pieces of data flow information among services involved in a first service domain of the power distribution network within a preset time period; extracting address information of each service from the plurality of pieces of data stream information, and determining a plurality of nodes and an initial node attribute of each node based on the address information of each service; determining a plurality of communication links based on the plurality of pieces of data flow information, determining a plurality of edges among the plurality of nodes based on the plurality of communication links, and determining an initial edge attribute of each edge based on the plurality of pieces of data flow information under each communication link to obtain an initial data topological graph of the first service domain; and receiving global node attributes and global edge attributes sent by the central coordination equipment, and updating the initial data topological graph based on the global node attributes and the global edge attributes to obtain a global data topological graph of the first service domain.

The invention provides a display panel and a display device. The display panel comprises a substrate, a light emitting structure layer, a light barrier layer and a pixel defining layer. Wherein the light-emitting structure layer is located on one side of the substrate, and the light-emitting structure layer comprises a plurality of peep-proof sub-pixels. The light blocking layer and the light-emitting structure layer are located on the same side of the substrate, the light blocking layer comprises at least one light blocking structure, and each light blocking structure surrounds the light-emitting area of one peep-proof sub-pixel and is used for blocking part of light emitted by the peep-proof sub-pixel. The pixel limiting layer is located on the side, away from the substrate, of the light blocking structure and covers the light blocking structure. The pixel limiting layer is provided with a plurality of pixel openings, and each peep-proof sub-pixel is at least partially located in one pixel opening. The display device comprises the display panel.

The invention discloses an FPSO (floating production storage and offloading) riser support structure modeling method, which belongs to the field of simulation modeling and comprises the following specific steps: I, acquiring basic parameters through data acquisition equipment and field experiments, and analyzing an application scene and working conditions of an FPSO riser support to determine modeling requirements; iI, on the basis of a demand analysis result, constructing a preliminary stand pipe supporting structure model of the stand pipe supporting structure; according to the method, design and operation decisions can be dynamically adjusted, long-term benefits are optimized, it is ensured that the structure can keep high reliability and benefits in the long-term operation process, and the flexibility and adaptability of structural design and maintenance schemes can be improved; the safety and privacy of the method are enhanced, real-time adaptation to the multi-field coupling effect in long-term operation is achieved, the performance of the riser supporting structure can be improved from different angles, the calculation cost is reduced, the calculation efficiency is improved, and delay possibly caused by concentrated calculation is avoided.

The invention discloses a financial credit dynamic evaluation system based on big data, and the system comprises a data collection module, a data preprocessing module, a data storage module, a machine learning module, a dynamic scoring module, and a user interface module. The input end of the data acquisition module is connected to an external data source so as to obtain data related to credit evaluation, the output end of the data acquisition module is electrically connected with the input end of the data preprocessing module, and the output end of the data preprocessing module is electrically connected with the input end of the data storage module; the output end of the data storage module is electrically connected with the input end of a machine learning module and the input end of a dynamic scoring module, and the user interface module is connected with the output end of the dynamic scoring module. According to the financial credit dynamic evaluation system based on the big data provided by the invention, comprehensive and real-time monitoring and evaluation of personal or enterprise credit conditions are realized by integrating a plurality of functional modules such as data acquisition, preprocessing, storage, machine learning and dynamic scoring.

The invention relates to the technical field of varicocele physiotherapy, and discloses a cold compress physiotherapy device for varicocele patients, which comprises a wearing lining mechanism, a scrotum lifting adjusting mechanism is arranged on the front side of the wearing lining mechanism, a scrotum fixing mechanism is arranged in the scrotum lifting adjusting mechanism, and the scrotum fixing mechanism is arranged on the front side of the wearing lining mechanism. And a cold compress mechanism is mounted on the surface of the scrotum fixing mechanism. According to the cold compress physical therapy device for the varicocele patient, through the arrangement of the wearing lining mechanism, the scrotum lifting adjusting mechanism, the scrotum fixing mechanism, the circulating type cold compress unit and the active refrigeration unit, the scrotum can be fixed through the scrotum fixing mechanism on the wearing lining mechanism, and the scrotum is lifted and supported through the scrotum lifting adjusting mechanism; the circulation type cold compress unit is fixed to the scrotum fixing mechanism, it is guaranteed that cold compress is conducted in the mode of being attached to the scrotum, continuous hand holding is avoided, and stability and convenience are improved.

The invention relates to the field of gas pipe network leakage early warning, in particular to a gas pipe network leakage early warning method based on edge calculation, which is applied to an equipment terminal, and comprises the following steps: responding to a leakage monitoring request, and receiving pipe network current data acquired by an acquisition end, the pipe network current data comprising pressure current data and leakage current data; calling a preset screening model to process the pipe network current data to obtain abnormal deviation values, and obtaining effective pipe network data based on the abnormal deviation values and the corresponding data fluctuation thresholds; receiving pipe network annotation data, obtaining hidden layer output values of the pipe network annotation data according to the initial evaluation model, and determining a state output weight based on each hidden layer output value to obtain a pipe network state evaluation model; and inputting the effective pipe network data into the pipe network state evaluation model for evaluation, generating a state evaluation result, processing an abnormal state evaluation result based on a preset early warning strategy, generating leakage evaluation data, and sending the leakage evaluation data to a data center.

The invention discloses steganography information generation and extraction methods and devices, equipment and a storage medium, and belongs to the technical field of information hiding. The steganography information generation method is applied to a sending end, and comprises the following steps: acquiring a secret information bit stream; encrypting the secret information bit stream through a predetermined encryption algorithm by using a secret key shared by two communication parties to obtain an encrypted bit stream; based on the encrypted bit stream, driving a pre-trained sequence generation model to generate a human body posture key point sequence; drawing the generated human body posture key point sequence into a key point connected graph; inputting the key point connected graph and any figure image into a pre-trained posture guide figure image generation model to generate a figure image with a target posture; and uploading the figure image with the target posture through a public channel to transmit secret information. According to the method disclosed by the invention, the security, secrecy, flexibility and high efficiency of the steganography technology are greatly improved.

The invention discloses a long-time-sequence prediction multistage optimization system and method for an end-side cloud framework, the multistage optimization system is embedded into an end-side cloud cooperation framework, and the end-side cloud cooperation framework comprises an end side model, an edge side model and a cloud side model which are sequentially arranged from bottom to top; each of the end side model, the edge side model and the cloud side model is composed of a data set integration unit, a feature relation extraction unit, a corresponding model distillation training unit and a prediction task conversion unit; the end-side cloud collaboration framework is trained autonomously through a cloud side model and guides training of a lower-layer model step by step from top to bottom; the lower-layer model receives training guidance from the upper-layer model and a part of same-level models; according to the method, the prediction precision is improved, the data privacy is enhanced, the use of computing resources of edge equipment is optimized, and the problems of model compression and knowledge transmission are solved.

The invention provides a login method and system based on a 5G message voiceprint verification code, and the method comprises the steps: generating a 5G message, receiving a message receiving confirmation feedback of a user, obtaining a composite audio stream through combining with environment sound collected based on a local voiceprint collection device, carrying out the processing through a blind source separation algorithm, obtaining a preliminary composite voiceprint sample, and carrying out the verification of the voiceprint verification code. A target composite voiceprint sample is obtained after optimization; performing encryption processing based on a preset encryption protocol, obtaining a decrypted target composite voiceprint sample in combination with a quantum key distribution mechanism and a cloud authentication platform, and calculating a preliminarily adjusted comprehensive score by using a convolutional neural network, a recurrent neural network and a generative adversarial network combination model; performing processing by utilizing a behavior analysis algorithm to obtain a final adjusted comprehensive score, and performing access permission confirmation to obtain an access confirmation result; according to the invention, the security and accuracy of user identity verification are enhanced, efficient user experience is provided, and the security and reliability of the user login process are ensured.

The invention relates to an access control method and system for financial sensitive data, and the method is applied to a cloud server, and comprises the steps: receiving a data access request sent by an access client, the data access request being used for requesting to obtain target sensitive data and at least carrying the attribute information of an access user; verifying whether the identity of the access user is legal based on the attribute information of the access user and a preset access control strategy; wherein the access control strategy is an access control strategy generated based on attribute-based encryption in advance, and the access control strategy comprises a constructed access control tree based on multiple attributes; and after the identity is verified to be legal, sending the decrypted target sensitive data to the access client.

The invention provides a dynamic desensitization-based data authority management and control method for a power grid data center, and belongs to the technical field of power grid data security. Comprising the steps of obtaining a data access permission of a user accessing related services in power grid data; intercepting each item of data sent to the related service, and obtaining the data type and the corresponding sensitivity level of each item of data; obtaining a desensitization rule of the type of data according to the data type, the sensitivity level of the type of data and the data access permission of the user; performing desensitization processing on the original data of the data by using a desensitization rule; and sending the desensitized data to a service system of the related service. According to the method, effective data authority control is carried out through a dynamic desensitization technology, so that the user authority and the data sensitivity are consistent with the desensitization level, the security and privacy of the data are ensured, and meanwhile, reasonable data access is allowed.

The invention discloses a data security sharing method and system, and relates to the technical field of enterprise data transmission protection, and the method comprises the following steps: building an enterprise user database through MySQL, collecting information data of employees under the jurisdiction of an enterprise, building employee archives in the enterprise user database, and collecting and recording data access behaviors of the employees; a data sharing platform is established, enterprise internal data files are collected, encrypted and transmitted, an auditing point is set based on the enterprise equipment scale, an administrator is endowed with account permission, and the internal transmission data files are summarized and approved. According to the method and the system, the disguise file is generated based on the content of the data file by integrating the grade of the internal data of the enterprise, and the disguise file is displayed in the process that the data is abnormally accessed and abnormally received, so that the security and the secrecy of data transmission and access are improved, and the jurisdiction information is classified and transmitted in batches by setting the auditing point; the data transmission efficiency is improved, and it is ensured that sensitive information is not accessed or stolen by unauthorized personnel.

According to the display panel and the display device, the display panel comprises a first shading part and a second shading part which are located on the side, away from a pixel layer, of a packaging layer, and the first shading part is not overlapped with a first type of sub-pixels and is close to the first side of the first type of sub-pixels; the second shading part is not overlapped with the first type of sub-pixels and is close to the second side of the first type of sub-pixels. According to the display panel, the emergent angle a of emergent light which can be shielded by the first shading part is set to be larger than or equal to theta1 and smaller than or equal to theta2, and the emergent angle a of emergent light which can be shielded by the second shading part is set to be larger than or equal to theta3 and smaller than or equal to theta4, so that the brightness of small-angle light which is emitted towards the first side and the second side of the display panel is symmetrical; and the brightness of the light rays in the wide-angle range emitted by the first type of sub-pixels is still kept in a normal attenuation ratio, so that the display uniformity and the peep-proof performance of the display panel are improved, the risk of a'dark and light screen phenomenon 'is reduced, and the visual effect of watching the display panel is improved.