43results about How to "Guaranteed privacy" patented technology

The invention discloses a man-machine instruction automatic generation external control system and method based on physical isolation perception. The system comprises an external execution body, a display sensing module, an artificial intelligence decision module and an input execution module. The local independent proxy device operates independently of the controlled system, acquires a screen display signal of the controlled system in one direction through an external display acquisition link, generates a control instruction based on acquired interface information, acts on the controlled system through a standard man-machine input interface, and constructs a closed-loop verification mechanism taking the screen display signal as a judgment basis. The information acquisition constraint, the judgment constraint and the execution authenticity constraint are followed, and verifiable confirmation of a control instruction execution result is realized. The system supports multi-mode triggering and external physical equipment extension control, solves the problems of insufficient safety, limited compatibility and poor verification reliability in the prior art, and is suitable for application scenes with high safety requirements.

This application relates to the field of in-vehicle central control screen technology, and more particularly to a data display method and vehicle-mounted system based on a vehicle's central control screen. This method can establish a communication connection with an external electronic device in response to a connection request. In response to a data synchronization request from the external electronic device, it receives data to be displayed from the external electronic device, indicating that the passenger needs to use the passenger-side display area of ​​the vehicle's central control screen for work. Furthermore, it controls the passenger-side display area to display the data to be displayed within the viewing range directly facing the passenger, and to display interfering data within the viewing range not directly facing the passenger. In this way, while ensuring that the passenger can use the passenger-side display area of ​​the central control screen for normal work, the driver or pedestrians outside the window cannot view the work data displayed in the passenger-side display area, ensuring the privacy of the work data and improving the user experience for the passenger.

The invention relates to the technical field of battery passports, and discloses a battery passport generation system and method. The system comprises a data connector and a battery passport platform, the battery passport platform comprises a trusted execution environment, the data connector is in communication connection with the battery passport platform, and the data connector is used for collecting service data of a target battery from an associated supplier system, encrypting the service data by using a public key issued by the battery passport platform and sending the encrypted service data to the trusted execution environment. An encrypted data packet is obtained, and the encrypted data packet is uploaded to a battery passport platform; and the battery passport platform is used for receiving the encrypted data packet and processing the encrypted data packet in the trusted execution environment to generate a battery passport of the target battery. The data connector enables original data in a supplier system not to be leaked to an external platform, only encrypted data is sent, data sovereignty is ensured at the source, and meanwhile, the battery passport platform processes an encrypted data packet in a trusted execution environment, so that data privacy is ensured.

The invention provides a log-level identity authentication method based on a block chain, and belongs to the technical field of distributed digital identity management. The method comprises the following steps that a user side registers, an identity provider completes global state updating in a block chain, a user puts forward an authentication application and generates a proof, and a verifier side completes verification. According to the invention, an attribute storage and verification architecture based on the Merkle Patrix Trie (MPT) is designed, a verification algorithm of the MPT is embedded into a circuit of zero-knowledge proof zk-SNARK (Zero-Known Non-Interactive Known Known), member qualification verification and attribute compliance verification of privacy protection can be realized, and meanwhile, only the root of the MPT is subjected to uplink storage, so that the verification efficiency is greatly improved, and the verification cost is reduced. And lightweight on-chain maintenance is realized.

This invention discloses a federated learning method based on group signatures, smart contracts, and a distributed file system (DFS) to hide data source information, relating to the field of computer cryptography. This invention utilizes smart contracts to manage members of each group. Each group member completes model training using its local data to obtain model parameters. These parameters are then encrypted using group signatures and uploaded to the DFS to obtain the DFS address. The encryption key and DFS address are then encrypted and group-signed again via a smart contract and uploaded. The central server decrypts the DFS address and key to obtain the DFS address, downloads the encrypted model parameters from the DFS, and decrypts them using the key to obtain the model parameters uploaded by each group member. These parameters are then aggregated and updated to obtain the improved global model. This invention effectively protects the privacy of data providers, ensuring the protection of data source information for both parties during the federated learning process.

The embodiment of the application discloses a batch anonymous query method, system and device for multiple data sources, which comprises the following steps: a client synchronizes an original polynomial and a polynomial quotient ring of the original polynomial to each of k servers; an n-order polynomial is calculated according to n query key values to obtain a first polynomial; each of the k servers calculates k second polynomials and k interpolation polynomials according to respective key value databases; the client and each client perform operations to obtain a first calculation result and k second calculation results; the client decomposes the first calculation result according to a preset constraint relationship to obtain a first decomposition result; the k servers determine k third calculation results; the client determines a fourth calculation result according to the k third calculation results and the original polynomial, and obtains a query result by traversing the n query key values. The embodiment of the application can improve the data query efficiency.

The invention provides an incentive and secure federal learning method and system based on a block chain, and the method comprises the steps: a plurality of participants obtain training tasks from the block chain, submit corresponding bidding prices to a smart contract, the smart contract determines a winner set in current training according to the bidding prices, and randomly divides the winner set into a training set and a verification set, obtaining a corresponding trainer and a verifier; the method comprises the following steps: downloading a currently trained local model from a block chain based on winner, adding artificial Gaussian noise, calculating a noise gradient of a target function of the local model by each winner, transmitting the noise gradient to each verifier for model verification, obtaining a list of the selected local model, and performing global aggregation; all verifiers are divided into small fragments, after a verification task of a local model of the trainer is received, each verifier in the small fragments evaluates the quality of the model, and the verifiers exchange votes mutually. The fragmentation consensus algorithm based on circulation can ensure the same security as a non-fragmentation consensus protocol.

An in-ear audio glasses temple and smart glasses are disclosed. The in-ear audio glasses temple includes a temple body and an audio component. The temple body includes a temple arm, an ear hook, and an in-ear portion. The ear hook is mounted on the temple arm, and the in-ear portion is slidably mounted on the end of the temple arm and has a sound hole. The audio component is installed in the in-ear portion and corresponds to the sound hole. The first end of the temple arm is used to connect to the frame, and the ear hook can be suspended on the ear so that the in-ear portion installed on the end of the temple arm is aligned with the external auditory canal. Sliding the in-ear portion can drive the audio component in and out of the external auditory canal. The smart glasses include a frame with lenses and two sets of in-ear audio glasses temples. The two sets of in-ear audio glasses temples are symmetrically arranged on the left and right ends of the frame and are hinged to the frame by the temple arm. The two ear hooks are suspended on the ears to wear the smart glasses, and the two in-ear portions are slid into the external auditory canal so that the audio component plays sound in the external auditory canal, thereby improving the listening effect and ensuring privacy.

The application discloses an electrical joint scheduling method and device based on variational inequality, equipment and medium, the method comprises the following steps: constructing a monotone variational inequality electrical-gas comprehensive energy system scheduling model according to preset electrical-gas comprehensive energy system parameters, the preset electrical-gas comprehensive energy system parameters include power system parameters, natural gas system parameters and electrical-gas coupling device parameters, and the electrical-gas comprehensive energy system scheduling model includes a piecewise tangent linearization quasi-steady-state natural gas network considering the pipe storage effect; the electrical-gas comprehensive energy system scheduling model is solved in a distributed manner by using a balanced splitting-contraction algorithm to obtain an electrical-gas joint optimization scheduling result; and the cooperation surplus of the electrical-gas comprehensive energy system scheduling model is distributed fairly based on a double-sided Shapley value incentive mechanism.The application can solve the technical problems of high wind power curtailment, privacy leakage, incentive incompatibility and the like in the electrical-gas comprehensive energy system.

This application provides one or more embodiments of a relational database management method and apparatus, applied to a server corresponding to the relational database. The method includes: obtaining at least one encryption algorithm specified by a data owner for at least some data fields in the relational database; wherein the at least one encryption algorithm supports ciphertext processing methods authorized by the data owner when performing ciphertext processing on data corresponding to the at least some data fields; obtaining data records submitted by the data owner to be written to the relational database; encrypting the data in the data records corresponding to the at least some data fields based on the at least one encryption algorithm; wherein the encrypted data record includes at least one ciphertext corresponding to each data field in the at least some data fields; and writing the encrypted data record into the relational database.

The invention relates to the technical field of information security and data processing, in particular to a dynamic encryption data processing platform system which comprises a dynamic encryption engine module and a distributed resource scheduling module. The dynamic encryption engine module is in communication connection with the data source equipment and a cloud end, and is used for performing real-time encryption processing on data uploaded by the data source equipment and distributing the encrypted data to the cloud end for storage; and the distributed resource scheduling module is in communication connection with the dynamic encryption engine module, and is used for collecting and analyzing the encrypted data sent by the dynamic encryption engine module, and dynamically allocating and optimizing cloud resources based on a real-time load state. According to the dynamic encryption data processing platform system provided by the invention, the data privacy protection capability and the cloud resource utilization efficiency can be improved, and meanwhile, the efficient encryption requirement in a complex service scene can be met.

The embodiment of the invention discloses a law enforcement officer post abnormal behavior monitoring method and device and a medium, belongs to the technical field of video data monitoring, and solves the problem that the post supervision accuracy of law enforcement officers is low in the prior art. Comprising the following steps: analyzing monitoring video data corresponding to a law enforcement place, and identifying a target law enforcement object in a video frame; in the monitoring video data, extracting a structured semantic element corresponding to the target law enforcement object; according to a preset law enforcement place type rule base, scene adaptation packaging is carried out on the structured semantic elements, and supervision semantic data frames are generated; and based on the continuously generated supervision semantic data frames, constructing an encrypted supervision semantic stream, and transmitting the encrypted supervision semantic stream to a cloud supervision analysis platform, so that the cloud supervision analysis platform matches the supervision semantic data frames with a preset reference law enforcement knowledge graph, and outputs a post monitoring result corresponding to the target law enforcement object according to a matching result.

The invention provides a SaaS management cloud system based on a data analysis algorithm and a working method and device thereof. An authentication module of the system obtains tenant information, and performs identity authentication and authority control on tenants; the voice acquisition module preprocesses the audio data; the intelligent transcription and error correction module converts the audio data voice into a text workflow; the scene recognition module performs category classification on scenes to which the text workflows belong and pastes corresponding scene labels; the workflow element extraction module adapts extraction operation based on a scene label of a scene to which the text workflow belongs to obtain workflow elements and performs dual verification; the dual-mode workflow template library maintains a mapping relation between workflow elements and tenant related template parameters; the dynamic workflow construction module generates a workflow supporting personalized configuration of tenants; and the cross-platform verification execution module triggers cross-platform execution of the workflow configured by the tenant in a personalized manner and feeds back an execution result. The whole process from voice acquisition to workflow execution is automatic.

One embodiment of the vehicle window glass disclosed herein includes: a first glass plate (11), a second glass plate (12), an intermediate adhesive layer (13, 14) disposed between the first glass plate (11) and the second glass plate (12), a light source (31) that allows light to be incident on the second glass plate (12), and light scattering units (16, 17) configured to extract light incident from the light source (31) to the outside. Light incident from the light source (31) passes through the second glass plate (12) and the intermediate adhesive layer (13) and is then conducted in the first glass plate (11). When viewed from above the first glass plate (11), if the region located at the end side of the first glass plate (11) is designated as the first region (51) and the region located further centrally than the first region (51) is designated as the second region (52), the visible light transmittance of the first region (51) is greater than that of the second region (52).

The application provides a kind of based on TBOX equipment reservation message clearing method and system, belong to the technical field of Internet of Vehicles, the method includes: in response to power-on information, obtain the reservation information stored locally;Establish MQTT link, obtain the clearing configuration timestamp issued by cloud;The timestamp of the reservation information is compared with the clearing configuration timestamp, if the timestamp of the reservation information is less than or equal to the clearing configuration timestamp, delete the reservation information.The reservation message clearing method of the application is reasonable and reliable, ensures vehicle safety, improves user experience;Ensure that after the user vehicle leaves the factory, clear all kinds of operations on the platform and APP, prevent the whole vehicle from waking up regularly, cause the loss and user experience brought to the customer;Ensure that after different APP users bind real vehicles, after user unbinding, all APP interfaces can be cleared Function operated, ensure the privacy of the car owner.

The invention discloses an intelligent wearable robot system based on a multi-modal large model and human-in-the-loop control and an implementation method thereof, an end-edge-cloud collaborative architecture is constructed, a user request is quickly responded through an edge node, high-complexity reasoning and global optimization are carried out by using a cloud large model, and the intelligent wearable robot system based on the multi-modal large model and the human-in-the-loop control is obtained. The end-side equipment exchanges model parameters with the cloud through a secure communication protocol, and realizes data privacy protection in combination with federated learning and differential privacy; localization processing and safe transmission of sensitive data are achieved, the global intelligence level is improved through cloud model updating, and the intention recognition accuracy, control precision, interaction naturalness and man-machine cooperation safety can be remarkably improved in various application scenes such as medical rehabilitation, industrial assistance, military operation and daily life assistance. Wide application prospects and practical values are realized.

The utility model discloses a temporary squatting closet for ward nursing, including squatting closet body, the squatting closet body upper end middle part is provided with the convenience groove, the squatting closet body outside surface all around is used for providing the shelter structure of privacy, the shelter structure includes recess, rotating block, support column, shelter cloth, elastic ring, the recess is set up in the both sides of squatting closet body originally, the recess inside one side is swingly provided with rotating block through the pivot, the rotating block surface is swingly provided with support column through the pivot, and the adjacent two support columns are provided with shelter cloth between, the shelter cloth outside surface four corners are all fixedly provided with elastic ring. The utility model can be according to the need quick deployment, form a temporary squatting closet for shelter structure, for the patient nearby use, guarantee the privacy, and also convenient to use can be according to the need folding, deployment, to the convenient transportation or storage.

The present application belongs to the technical field of environmental monitoring and intelligent control, and specifically relates to an intelligent control method and system for a water quality online automatic monitor, a computer device and a storage medium, which comprises the following steps: fusing local multi-parameter water quality data, meteorological and hydrological prediction information and historical sequences of upstream and downstream sites, constructing a water quality evolution trend perception large model based on a deep time sequence neural network, and deploying the model on an edge computing unit; a master control decision module dynamically adjusts a sampling frequency, an analysis mode and a communication priority according to a water quality mutation risk probability distribution output by the model, so as to realize closed-loop intelligent regulation and control of the running state of the monitor. Therefore, the pollution event capture sensitivity is improved, the system resource consumption is optimized, and the continuous operation capability and data security under communication interruption are ensured.

The invention discloses a fault diagnosis method, device, equipment and medium for an energy storage power station, and the method comprises the steps: enabling a calculation load to be dispersed to each subsystem edge node through constructing a distributed neural network architecture of edge feature extraction-center aggregation diagnosis, only uploading a feature vector which is subjected to deep compression to a center node, and carrying out the fault diagnosis of an energy storage power station. The problems of high data transmission pressure and poor real-time performance in traditional centralized diagnosis are effectively solved. On the premise of ensuring data privacy of each subsystem, collaborative optimization and knowledge sharing of a global model are realized based on a federated learning mechanism, the fault identification precision and the model generalization ability are significantly improved, rapid and accurate positioning and diagnosis of energy storage power station faults are realized, and the safe operation level and the operation and maintenance efficiency of the energy storage power station are comprehensively improved.

The invention discloses an AI-based photovoltaic module fault prediction method and system in the field of photovoltaic technology, and the system comprises a data collection unit, a communication unit, a data preprocessing unit, a dynamic feature modeling unit, a fault prediction unit, and an early warning and operation unit. The data acquisition module comprises an electrical parameter acquisition module, a thermal infrared forming module, a visible light image module and an environmental data acquisition module, the communication unit is externally connected with a cloud collaboration module, and the cloud collaboration module is provided with an edge computing node. By constructing a time sequence convolutional network and introducing an attention mechanism, the system can capture dynamic changes of electrical parameters, infrared thermal imaging and visible light images in real time, and effectively adapt to a complex and changeable outdoor environment. The system integrates electrical parameters, infrared thermal imaging, visible light images and environmental data, and improves the accuracy and reliability of fault prediction by fully utilizing complementarity of different modal data through weighted fusion and deep fusion methods.

The application discloses a private cloud device control method and domain, computer equipment and readable storage medium, relates to the cloud computing technical field, and is used for controlling the private cloud device to join the group formed by the private cloud device or accessing the group that the private cloud device has joined, and comprises the following steps: two or more than two controlled private cloud devices log in the respective private cloud accounts, select any one device as the master control device, the account is used as the master control account, and the controlled private cloud devices form a domain; the master control device sends the master control account to other private cloud devices; other private cloud devices in the domain join other groups formed by the private cloud devices through the master control account, or the private cloud devices that have joined the group formed by the private cloud devices proxy other private cloud devices to access the group formed by the private cloud devices. It does not need third-party authentication, and the original private cloud login account is not covered.

The application discloses a kind of AI training data copyright protection method and system based on block chain, the method includes: extracting semantic feature vector to art work generates digital fingerprint, with using permission policy together write into block chain;AI training party extracts training data feature vector, with on-chain digital fingerprint Similarity comparison, compliance proof is generated based on zero-knowledge proof and is submitted to block chain;Smart contract is inquired according to matching result work permission, it is judged whether authorization, and digital license certificate or rejection log is generated;After training, compliance report is generated by summarizing digital license certificate, and AI model is bound and stored in block chain.Therefore, using zero-knowledge proof technology, under the premise that original training data set content is not disclosed, the compliance proof that can be verified is submitted to chain.And through smart contract, license agreement is converted into tamper-proof code logic, ensure that each authorized record is open and transparent, traceable and automatically executed.

The embodiment of the application provides a data alignment method, system, electronic equipment and readable storage medium, and relates to the technical field of data processing. The embodiment of the application sends at least one second string to a matching platform by each data participant, so that the matching platform matches each second string sent by each data participant, obtains a first intersection, and sends the first intersection to each data participant. After each data participant obtains the first intersection, for each target second string in the first intersection, the data participant determines a target first string corresponding to the target second string, and sends each target first string to the matching platform, so that the matching platform matches each target first string sent by each data participant, obtains a second intersection, and sends the second intersection to each data participant. In this way, the direct interaction of each data participant is avoided through the matching platform, and the privacy of each data participant in the data alignment process is ensured.

The application relates to a kind of implementation methods of verifiable Internet of Things device data asset transaction, based on the data seller, blockchain and data buyer involved in Internet of Things data asset transaction system, the process for realizing verifiable data asset transaction is as follows: data seller publishes encrypted data on blockchain through smart contract, data buyer requests data according to needs and submits verification request.Smart contract is responsible for verifying the integrity and authenticity of data, and transmits decryption key to data buyer after verification.The data buyer decrypts the data using the key and completes the transaction.If the buyer finds that the decrypted data is abnormal, the smart contract is called to initiate arbitration.Through the confusion encryption mode, RSA accumulator technology, hash verification mechanism and on-chain arbitration mechanism, these attack behaviors are effectively resisted, and the privacy, integrity and verifiability of data transaction are ensured.

The application belongs to the technical field of camping supplies, and particularly relates to a vehicle-mounted shelter, which comprises a storage box, a mounting mechanism is fixed to the lower side of the storage box, a side cover is rotatably connected to the left side of the storage box through a hinge, and the side cover is fixedly connected with the storage box through a buckle lock. The shelter is conveniently mounted on a roof rack of a travel vehicle. When the shelter is needed to be used outdoors, the side cover is directly opened, two support strip-shaped plates are directly popped out of the storage box under the action of a torsion spring, and a top layer of shelter cloth is supported. The side shelter cloth is fixed at the lower end of a hanging plate through a connecting mechanism, so that the shelter is conveniently assembled. Through cooperation of the first support rod, the second support rod and the fixing belt, the shelter is reinforced, sunlight is effectively blocked, a line of sight is blocked, and the privacy of a user is ensured.

The embodiment of the application discloses a kind of data processing method and system based on the fusion of multi-party secure computation and federal learning, method includes: in response to data fusion request, obtain business data set and the gradient update feature of current federal learning strategy;According to gradient update feature, generate the multi-party secure computation protocol containing node interaction order rule, privacy protection calculation logic rule and protocol update frequency rule;Gradient data is as protocol input, and gradient data and business data set are fused by lightweight encryption interaction for privacy protection, and obtain fusion encrypted data set;Extract computing demand sub-feature and encryption demand sub-feature and based on the association mapping of both to synchronize optimization federal learning strategy and multi-party secure computation protocol, make the gradient calculation process and encryption processing process of optimization after coordination, realize the deep fusion of federal learning and multi-party secure computation, guarantee data privacy while improving data processing efficiency.

The invention discloses a novel intelligent patient nursing room which comprises a nursing room body, a sickbed, a bathtub, a closestool, ventilation equipment, a rotating shaft, rolling cloth, a driving mechanism and a main controller. The bathtub is arranged in the nursing room body, the closestool is adjacent to the bathtub and located on the front side of the bathtub, the sickbed is located above the bathtub and the closestool, universal wheels are arranged at the bottoms of bed legs of the sickbed, and ventilation equipment is arranged in the nursing room body. The rotating shafts extend in the front-back direction and are rotationally installed in the nursing room body, the two rotating shafts are arranged in parallel in the left-right direction, the driving mechanism is connected with the two rotating shafts, and the two ends of the rolling cloth are fixedly wound on the two rotating shafts respectively; and a main controller is arranged in the nursing room body. According to the scheme, the bathtub, the closestool, the ventilation equipment and other components are arranged in the independent nursing room body, so that the function of a capsule bin can be achieved, the privacy of a patient is guaranteed, the lifting structure is arranged, the patient can be helped to turn over, get in and out of the bed and other activities, and use is very convenient.

This invention relates to the field of intelligent manufacturing technology, specifically disclosing an intelligent glass bottle packaging line operation management system. The system synchronously collects operational data from multiple production lines, including production status and material physical properties. By comparing real-time data with historical trajectories to identify collaborative deviation patterns, iteratively generates local control commands. These commands and key feature data are encapsulated into standard encrypted units using homomorphic and standard encryption, and uploaded to a central node for homomorphic aggregation and decryption analysis without decryption, constructing and continuously updating a centralized experience knowledge set. When a production line processes new materials, optimized control commands under similar historical operating conditions are matched from this set based on the material's physical parameters. After virtual simulation and physical security verification, these commands are deployed to the main process. Based on feedback from the actual effects of command application, the historical association weights in the knowledge set are corrected using confidence weighting. This invention achieves adaptive and reliable control of production lines for variable materials and secure evolution of global knowledge.

The invention belongs to the technical field of data security, block chain and application cryptography, and particularly relates to a zero-trust data transaction method based on hierarchical verifiable atomic exchange, comprising the following steps: a participant obtains a transaction voucher from a voucher issuing mechanism; the data seller performs hierarchical processing on the original data assets to obtain a hierarchical data set, wherein the hierarchical data set comprises a plurality of data layers with a successive dependency relationship; the data seller generates a cryptographic commitment for each data layer and constructs a commitment chain, and then calculates a zero-knowledge proof of each data layer; based on the commitment chain, the data seller generates a verifiable timestamp signature packet for each data layer in the hierarchical data set; based on the verifiable timestamp signature packet, the data seller and the data buyer perform verifiable atomic exchange on the hierarchical data set layer by layer; according to the method, the trust dependence and the single-point failure risk in the transaction process are remarkably reduced, and the cryptographic verifiability of the data quality and the fairness of the transaction are realized while the privacy of participants is protected.

The present application belongs to image processing technology, and particularly relates to a reversible face anonymization processing system, which comprises a feature encoder specially used for generating mutually decoupled identity features and attribute features according to an original image; a feature transformation module used for performing a transformation controlled by a secret key on the identity features of the image to obtain anonymous identity features; a feature mapping module used for re-splicing the anonymous identity features and the attribute features and then mapping the re-spliced features into a variable conforming to a StyleGAN latent space distribution through a multi-layer perceptron; an image generation module used for generating an image according to the output of the feature mapping module; and an image repairing module used for fine-tuning and repairing the output of the image generation module. The anonymous image obtained by the present application is greatly different from the original image, and the original identity of the anonymous image cannot be recognized by human eyes. Moreover, the anonymous face and the original face keep a certain distance in the identity feature space, thereby ensuring privacy.