173 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.

A platform including a modification module and an access module may receive live or near real-time event-related data from a data source. The modification module may receive HTTP requests from a browser of a user device for the event-related data and transmit the event related data in response to a push request or on-demand. The modification module may receive event-related data manipulations from the browser and transmit modifications to the event related data to the browser resulting from the manipulations. The modification module may further receive publication requests from the browser to publish data. The data may include a graphic designation and an associated set of event-related data. The data may be published to the access module. The access module may map the data to a specific graphic format, and publish the mapped data to one or more downstream clients.

The invention provides an enterprise-level API gateway management method and system, and the method comprises the steps: API registration: an API registration platform receives input or batch-uploaded API metadata, and submits an auditing application after the registration is completed; aPI examination and approval: executing a differential examination and approval process according to the interface type, and exporting interface data after the examination and approval are passed; aPI release: importing the approved interface data into an API gateway management station, persisting the data to a relational database at the management station, and issuing a change notification to an API gateway; and updating the configuration of the API gateway: pulling and caching the database configuration data when the API gateway is started, continuously monitoring the data change of the management station, and updating the local cache in real time to take effect of a new routing strategy. According to the application, the reliability, the safety and the observability of the whole API management system can be improved.

The invention relates to the technical field of computer and intelligent mine program operation and maintenance, in particular to an operation and maintenance system and method for mine program management and state monitoring. A database operation and maintenance module, a port monitoring module, a service management module, a system diagnosis module, a subscription data publishing and tracking module, a distributed service detection module and a data management module are fused, so that the capability of monitoring general configuration or states of machines and services is realized, and data formats are unified; and fault diagnosis and troubleshooting are carried out on modules with problems rapidly. According to the application, various operations of related applications of the intelligent mine platform in a whole business process period such as deployment, updating, troubleshooting and configuration information updating are fused, and the method is very suitable for deployment maintenance and troubleshooting operation and maintenance of deployment personnel and developers on the intelligent mine application in a mine scene.

The embodiment of the invention provides an enterprise material master data management method and device and a storage medium, relates to the technical field of enterprise data management and information, is applied to processing equipment deployed with a material data management model enhancement package, obtains a target material model suitable for a target enterprise, analyzes a material data table file based on the model, and stores the analyzed material data table file. The method comprises the steps of obtaining first material data, verifying the material data based on a quality verification rule base in an enhanced packet, cleaning the material data by adopting a material data cleaning tool in the enhanced packet according to a quality verification result to obtain second material data, and issuing a list and an external business system list according to the material data. And sending the second material data to the target business system through the material data release interface in the enhancement packet, thereby realizing definition and control for the material characteristic value, promoting the target enterprise to carry out comprehensive business process management conforming to the large enterprise, and further improving the material data sharing and cooperation efficiency of the multi-business system.

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 present disclosure describes techniques of releasing data while protecting individual privacy. A dataset may be compressed by applying a first random matrix. The dataset may be owned by a party among a plurality of parties and there may be a plurality of datasets owned by the plurality of parties. A noise may be added by applying a random Gaussian matrix to the compressed dataset to obtain a processed dataset. The processed dataset ensures data privacy protection. The processed dataset may be released to other parties.

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.

A method comprises receiving first sensor data for publication and establishing a first connection with the data broker in accordance with a first publish / subscribe messaging protocol, wherein the establishing comprises transmitting a connection request packet comprising an identifier of the sensor client via a first wireless communications network. The method also comprises publishing first sensor data to the data broker in accordance with the first publish / subscribe messaging protocol using the first connection, receiving second sensor data for publication, and determining that criteria for using a second publish / subscribe messaging protocol. A second connection with the data broker is established in accordance with the second publish / subscribe messaging protocol, wherein the establishing comprises transmitting a second connection request packet comprising the identifier of the sensor client, and the second sensor data is published to the data broker in accordance with the second publish / subscribe messaging protocol using the second connection.

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.

The disclosure provides a viewpoint verification method, a data publishing method and device, wherein the viewpoint verification method comprises: obtaining a viewpoint to be verified, initiating a search based on the viewpoint to be verified, and determining a first document corresponding to the viewpoint to be verified; determining first text content associated with the viewpoint to be verified in the first document; determining a first target document in which target text content in the first text content is located, and determining an associated document of the first target document; determining second text content associated with the viewpoint to be verified in the associated document based on the viewpoint to be verified and the target text content; and verifying the authenticity of the viewpoint to be verified based on the first text content and the second text content.

The application discloses a kind of market data management method, system, equipment and storage medium.The method comprises: extracting at least one current source market data of target product from the data cache table of pre-set;Based on the historical source market data stored in the market database relative to the target product, determine the reference evaluation data corresponding to at least one data analysis model set in advance;From each current source market data, select the input data input into each data analysis model, combine the corresponding reference evaluation data, obtain the data analysis result output by each data analysis model;According to each data analysis result, determine the release market data of the target product.In the embodiment of the application, the accuracy of market data release is realized by managing market data based on current source market data and historical source market data, the efficiency of automatic detection in financial industry is improved, the problem of system vulnerability is better solved, and potential risks are eliminated.

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.