122 results about "Data publishing" patented technology

The invention discloses a lock-free single-memory data sharing method and device for an embedded real-time system. The method comprises the following steps: statically distributing a unique memory space for each message type; when a publisher task needs to update shared data, new data is written into a memory space of a corresponding message type, it is ensured that data writing is completed and is visible to other tasks, the atomic version number of the memory space is progressively increased, and data publishing is completed; and when the subscriber task needs to read the shared data, firstly reading the atomic version number of the memory space, then copying the content in the memory space to the local buffer area, reading the atomic version number again, and if the two version numbers are consistent, confirming that the read data is complete, otherwise, executing the reading process again. According to the method, the use of a lock can be avoided, dynamic memory allocation is avoided, copying of multiple memories is avoided, and efficient, strong-determinacy, extremely-low-memory-overhead, safe and reliable inter-task data communication is realized.

The embodiment of the application provides a data processing method and device, a storage medium and a computer device, wherein the verification device public key is sent to the data publishing device when publishing data, so that the data publishing device encrypts the original key by using the verification device public key, and the first encrypted key and the encrypted data body are published as the encrypted data; when the data processing device receives the encrypted data, the data access request carrying the processing device public key and the first encrypted key is sent to the verification device, so that the verification device decrypts the first encrypted key by using the verification device private key, obtains the original key, encrypts the original key by using the processing device public key, returns the second encrypted key to the data processing device, the data processing device decrypts the second encrypted key by using the processing device private key, obtains the original key, and decrypts the encrypted data body to obtain the original data, thereby improving the security of the data.

The application discloses a differential privacy data publishing method based on risk self-adaption and structured Gaussian noise and relates to the technical field of data mining and privacy protection. The method comprises the following steps: preprocessing original table data and initializing a Rényi differential privacy accountant; calculating sample risk based on self-information and mutual information, and evaluating individual identification and structured correlation risk; constructing a structured dependence relationship between features by using a total variation distance and a spectral decomposition dependent projection algorithm, and generating a noise transformation matrix; constructing a synthetic data pool without real individual mapping based on a noisy edge distribution; and finally performing risk self-adaptive data cleaning and publishing. In the publishing stage, a dynamic camouflage mechanism is implemented according to the distance between the risk score and the sensitive threshold: structured noise is injected into high-risk samples to protect feature dependence, K-nearest neighbor camouflage replacement is performed on risk boundary samples by using a synthetic data pool, and independent noise is injected into low-risk samples. The application effectively retains the statistical correlation of data under the premise of strict privacy protection by fine risk measurement and structured noise injection, and significantly improves the utility of data in machine learning modeling.

The invention belongs to the technical field of RPA, and particularly relates to a cross-platform installation-free high-performance RPA process block visualization editor. The system comprises a process block model module which is used for maintaining process block data and issuing a component modification event; the controller module is used for responding to the operation of the UI, packaging the operation into a command object and executing a command to modify the flow block model; meanwhile, an event publishing method on the process block model is called, and a listener is informed of the modified component; the view module comprises a view manager and a user interface UI; the view manager is used for maintaining a rendering tree consistent with the structure of the flow block model, and the rendering tree records rendering position information of each component relative to a parent component; and the view manager is also used for monitoring a component modification event, updating the rendering tree, searching the components in the visual area according to the rendering tree, and driving a user interface (UI) to only render the components in the visual area.

The invention provides an asynchronous tracking method for a vehicle remote control link, and belongs to the technical field of Internet of Vehicles, and the method comprises the steps: a cloud service platform side defines a plurality of key tracking nodes, and the key tracking nodes cover the life cycle stages of issuing, transmitting, responding and exception handling of a remote control instruction; standardized node tracking data is generated at each key tracking node, and the node tracking data at least comprises a vehicle identification code used for uniquely identifying a vehicle and a message serial number used for associating a single operation full link; releasing the node tracking data to a specified theme of a message queue system in an asynchronous calling mode to ensure that the processing of the remote control main service is not blocked by log recording operation; and monitoring the message queue theme through an independent log consumption service, and persisting the obtained node tracking data to a non-relational database to form a complete link tracking record for fault diagnosis.

The application relates to a credit platform data collection method, system, computer equipment and storage medium, which comprises the following steps: receiving a business request of a credit product, and performing permission verification on the business request of the credit product; after the permission verification is passed, selecting a corresponding supplier according to a supplier selection strategy between the credit product and the supplier, determining a corresponding supplier interface according to the credit product and the selected supplier, and performing multi-dimensional fusing on the supplier interface; obtaining an input parameter configuration of the supplier interface, defining a supplier interface parameter name and a corresponding data acquisition input item in the input parameter configuration, inputting the supplier interface parameter name and the data acquisition input item into a data acquisition platform, returning a business parameter value through the data acquisition platform; determining a corresponding data source according to a validity period of the credit product and the business parameter value, obtaining business data from the data source, and publishing the business data to a middleware. The application effectively improves the data collection efficiency.

The invention relates to the field of road maintenance and traffic safety, and relates to a road maintenance operation area safety management and control system, which comprises a cloud platform, an intelligent road cone, a flash warning device, maintenance personnel wearable equipment, a construction warning sign state detector, a construction area vehicle intrusion alarm instrument and a satellite base station, the server is used for performing real-time communication with an intelligent road cone, a flash warning device, maintenance personnel wearing equipment, a construction warning sign state detector, a construction area vehicle intrusion alarm instrument, a satellite base station and a vehicle navigation terminal through 5G wireless transmission equipment, processing and analyzing various data and issuing safety early warning information; a positioning module, a monitoring module, a warning module, a power module and a control module are arranged in the intelligent road cone, and the intelligent road cone is used for defining a maintenance operation area; and the satellite base station is deployed at a construction site commanding height, provides centimeter-level positioning reference and synchronously corrects coordinates of each device. The problem that the risk of accidents is remarkably increased is solved.

The invention relates to the field of coal mine gas treatment and utilization, and discloses a coal mine gas power station gas metering analysis system. The system comprises a flow metering unit based on a large-pipe-diameter V-cone flowmeter and differential pressure / pressure / temperature three parameters, a multi-point gas sampling and analyzing unit for cyclic sampling and parallel preprocessing, a methane concentration analyzing unit based on TDLAS and a redundant channel, a PLC metering and data integrity unit with an ms-level time reference and 64-bit high-precision calculation, and a data processing unit based on a redundant channel. A positive pressure purging explosion-proof control and alarm interlocking unit; and a local / cloud data issuing unit. The system solves the comprehensive problems of short straight pipe section, ultra-low concentration real-time analysis, continuous and reliable data and on-site explosion prevention, and the metering and safety management and control level of a gas power station is remarkably improved.

The application provides an aircraft aerodynamic data publishing system and method, comprising the following modules: an aerodynamic mathematical model solving module: performing dimension reduction and interpolation on aerodynamic original data; a source data management module: performing driving, organization, conversion on the aerodynamic original data, and generating a customized data structure and data interpolation boundary; a data response module: performing out-of-bound checking on an input customized data structure using the data interpolation boundary, performing solving through the aerodynamic mathematical model solving module, and returning the result to a user. The system provided by the application has the advantages of simple use, wide application range and good robustness.

The invention discloses a digital collection issuing and management method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: generating digital collection data based on an original material provided by a content creator; performing on-chain evidence storage processing on the digital collection data, and issuing the digital collection data to a target platform according to an evidence storage result; and in response to an interaction request of a user of the target platform for the digital collection data, executing an operation corresponding to the interaction request and returning a processing result to the user of the target platform. According to the method, an automatic assembly line processing technical means from original materials to chain evidence storage to platform issuing is adopted, and three independent links of digital collection generation, block chain evidence storage and platform issuing are integrated into a continuous data processing flow, so that consistency of evidence storage information and issuing data is ensured, and the data processing efficiency is improved; and the issuing efficiency of the digital collections is obviously improved.

The invention provides a hybrid private chain and alliance chain-based Internet of Things data security sharing method and system, and belongs to the technical field of block chains, Internet of Things and cloud computing, and the method comprises the steps: deploying a private chain, and taking an alliance chain as a mutual trust coordination layer to achieve registration anchoring and interoperation of multi-chain data; a parallel HTLC channel and a dynamic time lock mechanism guarantee atomic exchange and efficient transmission of cross-chain data, and meanwhile, safe and credible data sharing is realized in combination with multi-party threshold notarization and zero-knowledge proof; the intelligent gateway layer provides protocol adaptation, format conversion, machine learning caching and intelligent access control, and optimizes a data publishing and prefetching process; the light client only reserves a block head and a Merkle index, and incremental verification and multi-path synchronization are carried out; the homomorphic encryption and parallel zero-knowledge proof framework gives consideration to data privacy and on-chain auditing performance, and it is ensured that limiting value judgment and compliance auditing are carried out in a ciphertext state. According to the method, credible, efficient and auditable data cross-chain sharing is realized.

The application discloses a differential privacy synthetic data publishing method based on maximum weight matching, which comprises the following steps: firstly, pre-processing user data collected by a reliable third-party server; then, using a graph model method to perform information representation on the processed data attributes, so as to obtain an attribute association graph; then, selecting a suitable low-dimensional marginal set according to a maximum weight matching algorithm; subsequently, adding noise to the low-dimensional marginal set, wherein the noise satisfies a differential privacy definition; then, performing post-processing on the low-dimensional marginal set with noise, so as to obtain a standardized low-dimensional marginal set; performing data synthesis according to the low-dimensional marginal set, so that the synthetic data set is as similar as possible to the original data set in statistical information; and finally, publishing the synthetic data set. By using the technical method, the computational complexity can be reduced while ensuring the utility of the synthetic data set, and the method has better utility for high-dimensional data.

The application discloses a double-strategy cooperative optimization method for privacy protection federated learning, comprising the following steps: a center server constructs a global model and issues the current global model to a client; pruning actions and privacy actions of the global model are obtained based on a deep deterministic policy gradient method, the client performs structured pruning, gradient clipping and Gaussian noise adding operations, and obtains a perturbation update which is uploaded to the center server; the center server performs weighted aggregation on the perturbation updates uploaded by all participating clients to obtain a new round of global model; until the iteration is completed, the final global model is returned; the final global model is issued to each client, and each client processes the local data set held by the client by using the final global model, and transmits the data processing result protected by privacy to the center server to complete data publishing under privacy protection. The application has the characteristics of improving test precision, reducing communication overhead and ensuring training stability.

The application discloses a kind of trajectory data publishing methods based on personalized local differential privacy, comprising: according to the number of grid, discretization is carried out to geographical space, and geographical space is organized into several identical grids;The trajectory data information consisting of longitude and latitude is converted into one-dimensional array consisting of grid serial number index;According to the privacy budget selected by user, data privacy processing operation is carried out in local environment, and the noise vector obtained is reported to third-party data collector, and the third-party data collector is grouped to carry out noise vector correction and aggregation operation, and according to the published trajectory data sampling operation of aggregated data is carried out.The application is suitable for the scene that the protection willingness of each party is different, can realize the trajectory data publishing of satisfying personalized local differential privacy, in the case where guaranteeing data privacy security and satisfying user personal demand, obtain the published trajectory data.

The application discloses a kind of laser remote frequency stabilization device based on shared variable, it is related to laser frequency stabilization technical field.The structure of the present application is: laser (1), optical fiber (2) is connected before and after, optical fiber (2) and frequency reference light (3) are connected with laser beam combiner (4) respectively, laser beam combiner (4), electric detector (5), frequency counter (6), data publishing end (7), network (8), data receiving end (9) and laser (1) are sequentially connected.Compared with the similar frequency stabilization device of prior art, the present application can realize long-distance laser frequency stabilization, and has good transmission performance, low cost, high scalability, and can be widely used in laser frequency stabilization technical field.

Interactive event streaming can be provided in real-time and selectively transmitted to data consumers based on a rules engine. For example, a computer-implemented method described herein can include receiving a plurality of interaction events from at least one processing application. The method can include modifying the plurality of interaction events to produce a plurality of secured interaction events, wherein personal information of at least one data publisher in each secured interaction event of the plurality of secured interaction events is obscured. The method can further include selecting, based at least in part on a rules engine, at least one particular interaction event from the plurality of secured interaction events. Additionally, the method can include notifying a data consumer of the at least one particular interaction event from the plurality of secured interaction events.

The invention discloses a distributed industrial data space system, a data publishing method and a data retrieval method.In the system, a decentralization treatment module is used for independently and parallelly auditing data products submitted by a data provider node through screened auditing candidate nodes, and after the data products are approved to be published, the decentralization treatment module is used for managing the data products submitted by the data provider node; writing the index abstract of the data product into the block chain; the federal retrieval and verification module is used for receiving a query request carrying a query voucher, obtaining a candidate local data space set in the global metadata index module through the query voucher, and then distributing a local retrieval request in parallel; the local data space index module is used for performing local retrieval through data indexes to generate a retrieval result abstract after each local data space receives a local retrieval request; and the federal retrieval and verification module is further used for sending a retrieval result abstract to a data user after the credibility verification is passed. According to the method, decentration and efficient retrieval can be realized.

The application relates to a page display method, device, equipment, readable storage medium and program product. The method comprises the following steps: based on a live broadcast connection microphone event of a host account, a live broadcast preparation page is displayed; wherein the live broadcast preparation page comprises starting broadcast recommendation data generated based on interactive data of the live broadcast connection microphone event; in response to a starting broadcast operation performed on the live broadcast preparation page, a live broadcast preview of a target live broadcast is published based on the starting broadcast recommendation data, or the target live broadcast is started. By adopting the method, the connection microphone interactive scene can be extended, so that the participation enthusiasm of the connection microphone account is improved, and the stickiness between the connection microphone account and the platform is further improved.

The disclosure discusses an AODSA tool that assists a user in submitting data responding to an online data posting. An embodiment of the invention is described as a job application utility. The user registers with a central data management system. This may be achieved by uploading a resume and / or manually providing registration data. Alternately, the registration data may be derived from parsing an uploaded resume that is analyzed and stored. In another embodiment, a user may simply answer a series of registration questions to register, while also creating a resume. Once the identifying information is finalized, the user is able to search the broad range of job listings. The user is able to forward identifying information to respond to a job listing by forwarding an uploaded / system created resume to an email address in the job listing or conduct an auto-fill of a linked online job application form.

The invention relates to the technical field of data security protection, in particular to a city data adaptive privacy protection method and system based on dynamic security grading driving. Performing multi-source data semantic perception and dynamic grading according to the preprocessed data, wherein the multi-source data semantic perception and dynamic grading comprises data content semantic feature extraction based on a knowledge graph, dynamic risk entropy calculation based on scene and environment perception, and automatic mapping and label generation of data security levels; according to a dynamic grading result, carrying out source end self-adaptive privacy disturbance on the data, wherein the source end self-adaptive privacy disturbance comprises strategy mapping and lightweight desensitization based on security levels, privacy budget self-adaptive distribution of space-time density perception, random noise injection and data release; by constructing a multi-source data semantic perception and dynamic risk entropy model, the problem that traditional rules are rigid in grading is solved, and accurate grading and dynamic risk management and control of mass urban heterogeneous data are achieved.

Embodiments of the present application disclose a data publishing method and device, a storage medium and a computer device. The method comprises: generating flow data corresponding to change data generated by a data producer according to the change data, wherein the flow data is used for recording data change log information of the change data, each piece of flow data has a spatially unique flow number; preprocessing the flow data, the data volume of the preprocessed flow data being less than that of the flow data before preprocessing; caching the change data and the preprocessed flow data to a data cache layer; monitoring a flow number service, and if it is determined that the flow number of the flow space is changed, reading target flow data and target change data recorded by the target flow data from the data cache layer according to a target flow number that is changed, and publishing the target change data to a data user, so that the data publishing capability can be improved and the data publishing can be quickly and efficiently realized.

This invention discloses a multi-node publish-subscribe system for secure on-orbit data transmission of spacecraft. The system includes a data subscription layer, a data publishing layer, a data processing layer, and a data caching layer. The data subscription and publishing layers utilize distributed cloud service nodes managed by Zookeeper to jointly implement multi-node subscription and publishing of on-orbit data. The data processing layer employs a heartbeat-based priority election algorithm and multi-node data consistency communication technology to process and analyze high-concurrency remote data. The data caching layer stores on-orbit data of spacecraft using distributed fast caching technology. This invention leverages big data and cloud computing platform technologies to overcome several key technical challenges, ensuring data security, consistency, and computational efficiency, providing technical support for the transmission, management, and caching of massive on-orbit experimental data from spacecraft.

A video forwarding system based on ROS2 and WebRTC comprises a data acquisition and publishing module used for acquiring image data and publishing the image data to a corresponding ROS2 topic; the multi-process streaming pushing module is used for creating an independent streaming pushing sub-process for each path of video stream needing to be forwarded outwards and sending the video stream to the streaming media forwarding module; the streaming media forwarding module is used for receiving the independent video stream from the multi-process streaming pushing module and forwarding the video stream to a user terminal according to a user subscription relationship; the signaling and process management module is used for receiving an external instruction from a user side and dynamically creating or destroying the corresponding streaming pushing sub-process according to the instruction; and the user terminal module is used for sending an instruction to the signaling and process management module and subscribing and receiving the video stream from the streaming media forwarding module through the WebRTC technology. The method has the advantages of extremely low end-to-end delay, extremely low remote equipment resource occupation, strong expandability and flexibility and the like.

The invention provides a multi-sensor data fusion system. The multi-sensor data fusion system comprises a sensor interface module used for receiving and transmitting sensor messages; the time synchronization module is used for performing time synchronization processing on sensor messages from different sensors; the fusion processing module is used for fusing the sensor messages subjected to time synchronization processing; the fusion data publishing module is used for publishing the fused message; the multi-sensing data fusion system supports function implementation of all the modules based on a second-generation robot operating system ROS2. According to the multi-sensor data fusion system provided by the invention, the overall architecture is constructed based on the second-generation robot operating system ROS2, so that efficient collaboration and standardized communication of each functional module are realized, and the universality and deployment efficiency of the whole fusion system are improved.

This specification discloses a blockchain-based business deployment method and apparatus, which can be used to protect users' privacy data. The blockchain connects at least one business entity with asset data notarization needs. It can obtain a service configuration document related to the automatic on-chain notarization service corresponding to the business entity's asset data. The service configuration document includes service configuration data corresponding to the automatic on-chain notarization service. Then, based on the service configuration data in the service configuration document, service code related to the automatic on-chain notarization service can be automatically generated. Based on the service code, the automatic on-chain notarization service is deployed on the notarization service server. This allows the notarization service server to call the automatic on-chain notarization service when collecting the business entity's asset data, publishing the business entity's asset data to the blockchain for notarization, thereby improving the efficiency of on-chain notarization for the business entity.

The invention provides a multi-source heterogeneous clinical data integration platform, and relates to the technical field of medical data management systems, the platform is applied to an intelligent hospital data management system, and the platform carries out data acquisition on a plurality of databases with different business purposes of a business system layer of the intelligent hospital data management system through a data acquisition assembly according to needs; the method comprises the following steps: collecting clinical data, publishing the collected clinical data to a Kafka integration engine, performing processing, cleaning and other treatment on the clinical data through a data treatment component according to data application requirements, comparing and repairing the treated clinical data, and finally subscribing the treated clinical data to one or more data centers through a subscription component. The method is used for data statistical analysis or complex query and provides data support for smart hospital upper-level service and big data application, so that the performance problem caused by direct cross-source-end database access is eliminated, and the data value is fully utilized.

The invention relates to the field of website construction and content management, and discloses a webpage generation method and device and a storage medium, and the method comprises the steps: obtaining first webpage design data in a draft data layer; in response to a data publishing instruction for the draft data layer, determining to-be-published target webpage design data in the first webpage design data of the draft data layer; and publishing the target webpage design data to the formal data layer, and rendering corresponding display webpages on different terminal devices based on the webpage design data in the formal data layer. According to the method and the device, the problems of difficulty in multi-terminal adaptation of the portal website and separation of publishing and rendering processes in the prior art are solved.

The invention provides a software debugging method, and belongs to the technical field of software debugging, and the software debugging method comprises the steps: transmitting a debugging parameter to an intelligent driving domain controller through a release template function; receiving debugging data transmitted by the intelligent driving domain controller by using a subscription template function; and displaying the change of the debugging data. The unified packaging mechanism is called through the publishing template function and the subscribing template function, rapid data publishing and subscribing are achieved, and debugging data can be issued in real time while the controller is observed online.

This invention discloses a mobile customer service work order distribution method and system based on data analysis. The method involves: acquiring mobile customer service work orders, performing textual semantic analysis to generate work order feature vectors, collecting real-time customer service status data to generate customer service status profiles, and generating work order preference data through reverse work order recommendation based on these profiles. The method then predicts complexity based on the work order feature vectors and, combined with the work order preference data, publishes the work orders to an auction platform to obtain auction result rankings. Based on the auction results, a preliminary distribution plan is constructed, and an intentional mismatch distribution operation is performed to obtain abnormal situation data. A chaotic test work order injection processing flow is constructed to verify system stability. Deep mining is performed on the abnormal situation data to identify hidden skill features and reassess overall capabilities. The distribution plan is adjusted based on the optimized capability assessment data, and real-time monitoring is initiated. Finally, based on system stability data, the processing quality is verified for stability, and distribution strategy optimization instructions are generated to achieve intelligent work order distribution.