320 results about "Data publishing" patented technology

The invention relates to the technical field of freight scheduling, in particular to a freight scheduling information management method and system and a storage medium. The method comprises the following steps that uncompleted order collection is carried out on a freight platform to obtain an uncompleted order set, and the uncompleted order set comprises a plurality of uncompleted orders; each uncompleted order at least comprises an order ID, order release time, target cargo attribute data, publisher identity data, a departure place, a destination, an order state identifier, an order transportation task schedule, cargo stacking attributes, predicted delivery time and cargo expected arrival time; and performing order state classification and marking on the uncompleted order set to obtain a classified order set. By optimizing the loading space utilization rate of the vehicle, the unloaded and half-loaded conditions of the vehicle can be reduced, so that the fuel consumption and the transportation cost are reduced.

An monitoring method for a passenger transportation system embodied as an elevator, escalator, or moving walk applied in a monitoring device is provided, and it relates to the technical field of elevators, escalators and moving walks. The monitoring device includes a plurality of information processing modules. The monitoring method includes: collecting a plurality of operating parameters of the system; executing a first preset operation by at least one of the information processing modules to store the operating parameters that are currently collected, wherein there is at least one different operating parameter that is stored between any two ones of the information processing modules; polling the information processing modules and determining at least one exceptional operating parameter and its exception time information based on polling results to obtain system monitoring data; and publishing the system monitoring data to a message forwarding server end, wherein the system monitoring data is configured to enable a system fault predicting device to predict a system fault according to the system monitoring data based on a support vector machine. A monitoring device, a fault predicting method and device, equipment, medium and program product are also provided.

The invention provides a distributed simulation system and device based on a DDS (Direct Digital Synthesizer), which can meet the requirements of the accuracy of a human-in-loop semi-physical simulation process of an aircraft, the data publishing / subscribing real-time performance of each component, the compatibility of development software of each professional subsystem, the interactivity of third-party data and simulation data and the reusability and expansibility of a model. A distributed simulation system operation framework is utilized, access of a heterogeneous system is supported, and finally confrontation between a human-in-loop semi-physical simulation system and an illusion party generated by a computer is achieved. An HLA distributed simulation architecture thought is adopted, simulation system data can be interacted through a real-time network through DDS middleware, and interaction content comprises flight simulation data, control panel data, visual head-up display data and MFD data.

To provide an information processing program capable of visualizing excitement of a game on an SNS without affecting game development, information processing system, information processing device, server and information process method.SOLUTION: An information program for causing a computer to execute a reply of prescribed information based on an image posted to a specific SNS, the information program causes a processor to execute: a post monitoring step of acquiring a display image and a specific text as post data, the display image displaying a value of a prescribed parameter determined in a game, within a prescribed image in a manner being perceptible by a user, and monitoring posting of the post data to the specific SNS; a parameter value specification step of specifying a value of the prescribed parameter within the display image in the post data; and a reply processing step of replying reply content including the specified value of the prescribed parameter to the post data.SELECTED DRAWING: Figure 1

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 invention relates to the technical field of electronic signatures, in particular to an aviation equipment purchasing electronic seal generation method and system based on a block chain, and the method comprises the following steps: based on aviation equipment purchasing demand data, through a block chain network, matching the identity of merchant information in the data, including the recognition information of a purchaser and a salesperson, and generating a verification identity identifier; according to the method, the seal data is protected by applying asymmetric encryption, so that the personalization and specificity of the seal are enhanced, the security of the data in the transmission and storage process is ensured through encryption, the electronic seal data are published into the block chain network, a unique identifier is generated by utilizing a hash function, and the publishing state is tracked in real time; according to the method, the tampering resistance of data is guaranteed, the comprehensive auditing tracking capability is provided, technical support is provided for law and compliance review, the efficiency and transparency of a purchasing process are remarkably improved, fraudulent behaviors in a supply chain are reduced, meanwhile, the purchasing process is accelerated, and additional trust and value are provided for users and enterprises.

One or more embodiments of the invention provide a physical equipment data uplink method and device, equipment and a storage medium, which are applied to physical equipment. The method comprises the following steps: initializing an SDK (Software Development Kit), and acquiring a first key pair and a second key pair by the SDK; sending the acquired device data to an SDK, performing classical digital signature processing on the device data by the SDK based on a private key in a first key pair to obtain first signature data, and performing post-quantum digital signature processing on the device data and the first signature data based on a private key in a second key pair to obtain second signature data; and sending the device data, the first signature data and the second signature data to a block chain service platform, verifying the second signature data based on a public key in the second key pair by the block chain service platform, verifying the first signature data based on a public key in the first key pair after the verification of the second signature data is passed, and sending the verification result to the block chain service platform. And after the verification of the first signature data is passed, publishing the device data to a block chain for uplink evidence storage.

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 discloses an OPC server data acquisition system and method integrating fault processing and dynamic configuration, and the system comprises a connection management module which is used for automatically detecting the connection state of an OPC server, and automatically trying to reconnect when the connection is disconnected or disconnected; the group management module is used for automatically creating, updating and managing an OPC group according to the received group configuration information, dynamically adding and removing OPC points in the group, and updating the configuration of elements in the group; the fault point management module is used for monitoring the number of failed group points in the group and trying to add the failed group points again when a preset threshold value is reached; meanwhile, related information of the fault point is recorded and reported; the data acquisition and release module is used for regularly reading data from the OPC server and releasing the data to a specified position through a callback function; and the group point updating module is used for providing a thread monitoring group point updating request and dynamically adjusting the configuration of the OPC group according to the request. According to the invention, the real-time performance, accuracy, continuity and flexibility of data acquisition can be ensured.

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 invention provides an intelligent traffic jam real-time analysis method, system, device and medium based on multi-dimensional spatial geographic features, and belongs to the technical field of intelligent traffic, and the method comprises the following steps: collecting traffic data through combining non-traditional and traditional data collection devices, and transmitting the traffic data to a rear-end data center; the data center adopts a distributed computing framework to clean and integrate data, performs quality control, extracts multi-dimensional spatial features by using a GIS (Geographic Information System), calculates a congestion index and predicts a traffic congestion trend at the same time; and the back-end data center issues real-time congestion conditions and prediction trends through non-traditional and traditional data issuing channels, and pushes personalized congestion planning suggestions according to travel habits of users. According to the invention, a complete intelligent traffic jam real-time analysis solution is formed, the traffic jam problem is effectively relieved, and the intelligent level of traffic management is improved.

The invention provides a meta-application agent service system, which is used for micro-service packaging, publishing, containerization operation and maintenance, meta-application combination, business verification, credible traceability and application integration of an AI technology algorithm, and realizes cooperative work of an AI technology publishing party, an application integration party and a system platform operation and maintenance party through the service system. The platform end supports a technology supplier to publish AI technology algorithm data into micro-services with specific functions through technical model description specifications, application technology multilayer classification and visual interactive publishing service; the meta-application construction module supports an application integration party to upload application demand data and select micro-services to be combined for meta-application simulation evaluation, meta-applications with a large model agent as a carrier are generated, and the meta-applications can interact with the micro-services, the meta-applications, an application system, a cloud platform and an operating system; the operation and maintenance module comprises a containerized micro-service management tool and supports an operation and maintenance management party to distribute containers to micro-services and maintain operation of the containers.

The invention discloses a data configuration release processing method, system and device and a medium, and the method specifically comprises the steps: configuring a development environment according to a configuration management system, setting an index configuration table in the development environment, generating a corresponding SQL statement according to the index configuration table, and sending the SQL statement to a server; the index configuration table is used for recording index information and dimension information required by each business report; establishing a change registration form, and writing a change record into the change registration form every time the configuration of the index configuration table is changed; performing automatic proofreading on the change configuration data submitted by different developers, identifying difference conflicts of the change configuration data, and forming a change proofreading table; and issuing the change configuration data to a pre-issuing environment for automatic testing, and issuing the change configuration data to a production environment after the automatic testing is passed. According to the method, the problem of configuration data management in multi-user collaborative development is effectively solved, and the efficiency and stability of report development and delivery are improved.

The invention discloses a nuclear power station DCS data acquisition system, method, device and equipment and a medium, and is applied to the technical field of nuclear power, and the method comprises the steps: configuring data point configuration data, such as data point names, data types and data point acquisition frequencies, of data points corresponding to a target data acquisition task through employing a data point configuration file; the user can conveniently fill and edit the data point configuration data, the learning curve and complexity of the user are reduced, the risk of data point configuration errors is reduced, the flexibility and convenience of data point configuration are improved, and the personalized configuration requirement of a specific application scene is met. Moreover, data exchange is carried out between the nuclear power station DCS data acquisition system and the nuclear power station DCS system by adopting a publishing and subscribing mode, so that unnecessary data polling can be eliminated, the real-time performance of data updating is improved, and the waste of network bandwidth and processing resources is reduced. In addition, data publishing and subscribing are carried out in a multi-thread mode, the performance can be optimized, and the response speed can be increased.

The invention discloses a micro-isolation system and method based on service awareness in a zero-trust environment, the micro-isolation system comprises three units of a zero-trust engine, a zero-trust execution agent and a micro-service node, and the zero-trust engine filters a service at a network protection boundary, extracts service context information and generates a service access data object; the zero-trust execution agent is in signal connection with the zero-trust engine and the micro-service node, the zero-trust execution agent transmits service awareness data to the zero-trust engine and receives a strategy issued by the zero-trust engine, and the zero-trust execution agent executes the strategy; and the zero-trust execution agent publishes the service basic data to a service bus. According to the method, verification logic and a resource system are isolated in a micro-service business flow perception and strategy association mode, and only micro-services in a permission range are allowed to perform data exchange. An authorization strategy model is established by utilizing multi-attribute characteristics such as micro-service types, service characteristics and network characteristics, so that fine-grained authority management is realized.

The invention relates to a discrete time dynamic graph-oriented privacy protection method and device and electronic equipment, and the method comprises the steps: carrying out the node sampling of an original discrete time dynamic graph, calculating the attention weight of a neighbor node of a collected node, carrying out the splicing, inputting the structure representation of an obtained noisy discrete time dynamic sub-graph into an LSTM neural network, and carrying out the splicing of the noisy discrete time dynamic sub-graph. And obtaining a time and structure fusion representation of the noisy discrete time dynamic sub-graph, and inputting the time and structure fusion representation into the generator multilayer perceptron to obtain a synthetic discrete time dynamic graph at the next moment. Through the method, the problem that the privacy-availability of the discrete time dynamic graph is difficult to continuously balance due to non-uniform distribution of privacy and non-privacy information can be effectively relieved. Meanwhile, through dynamic noise adjustment, the problem of privacy leakage possibly caused by sudden change of the dynamic graph structure at a certain moment is solved, the privacy protection intensity of dynamic graph data release at discrete time is further improved, and the availability of dynamic graph data at other moments is effectively guaranteed.

The invention provides a communication middleware construction method and system based on an open architecture. The method comprises the following steps: acquiring an open architecture model required for constructing lightweight communication middleware; modifying a data communication structure of the lightweight communication middleware into a data communication interface based on an open architecture model; according to the method, basic data processing and communication functions of lightweight communication middleware are deployed in an open architecture model, an upper-layer service interface of the lightweight communication middleware in the open architecture model is constructed, and specific calling of software components of the open architecture model is realized by utilizing the upper-layer service interface, the upper-layer service interface comprises an initialization service interface and a data release service interface of the lightweight communication middleware. According to the invention, the lightweight DDS is deployed in the AUTOSAR CP, and compared with the traditional IP-based service-centered communication middleware in the AUTOSAR CP, the DDS middleware enhances the guarantee of service quality.

The invention discloses a method and a system for automatically generating a hydrological analysis service chain based on a large model. A hydrological analysis result is directly obtained from a demand described by a natural language. Firstly, a hydrological geographic information service expression model is proposed, and a hydrological analysis model and data are published as a service. And then, based on the large model and the prompt template, analyzing a demand described by a natural language of the user, and obtaining a most matched service by calculating the similarity. And finally, operating the service chain through a service chain execution engine to obtain a hydrological analysis result. According to the method, the user demand is automatically analyzed and the service chain is constructed based on the large model, and the hydrological analysis result is obtained through the service chain execution engine, so that the problem of automatic generation of the hydrological analysis service chain is effectively solved, and the automation level of hydrological analysis is remarkably improved.

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 invention provides a trajectory data publishing method and system based on privacy protection, and belongs to the technical field of trajectory privacy protection, the scheme not only protects user privacy from a space-time dimension, but also considers semantic privacy of a position point, and further improves the security of privacy protection; meanwhile, according to the scheme, the sensitivity of different stay points to different users is measured through indexes such as global access frequency, personal access frequency and radiation sensitivity, personalized privacy budget distribution is provided for the users according to the sensitivity, and therefore personalized requirements are met while privacy is guaranteed, and user experience is improved. According to the scheme provided by the invention, the privacy security of the user is ensured, and meanwhile, the personalized requirement is met.

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 invention discloses a vehicle diagnostic data publishing system and method, and a computer program product. The publishing system comprises a database for storing entity data, a database for storing configuration data used for indicating the entity data, a database for storing information of the diagnosis system and a task publishing module, and the task publishing module can generate task publishing information based on the information of the diagnosis system. And determining a target diagnosis system according to the information of the release task and the configuration data, and automatically executing the release task based on the release time, so as to enable the target diagnosis system to update entity data corresponding to the configuration data based on the configuration data after the configuration data is released to a target environment of the target diagnosis system. According to the mode, decoupling between the entity data of different target diagnosis systems is achieved, the entity data are issued to the multiple target diagnosis systems at the same time, the issuing platform is simple in configuration, the data expandability and the data issuing efficiency are improved, and the system and data maintenance cost is reduced.

A flow logging utility tracer (“FLUTE”) system can present a FLUTE user interface through which the FLUTE system can receive a trace request. The FLUTE system can interface, via a FLUTE controller, with a FLUTE adapter corresponding to a cloud environment associated with the trace request. The FLUTE adaptor can extract event log data from a log repository corresponding to the cloud environment. The FLUTE adapter can filter the event log data according to a logging specification. The FLUTE adapter can transform the filtered event log data for compatibility with a FLUTE stitcher. The FLUTE stitcher can generate tracing data based upon the event log data. The FLUTE stitcher can correlate the tracing data based upon a common identifier enforced by the logging specification, prepare the tracing data for publication to a distributed tracing system, and publish the tracing data to the distributed tracing system for storage.

The invention provides a blueberry industry regional competitiveness evaluation model construction method, system and device and a medium, and belongs to the technical field of agricultural industry big data, and the method comprises the following steps: determining a blueberry industry regional competitiveness evaluation index system according to comparative advantages and competitive advantages in industrial competitiveness evaluation; calculating the weight of each evaluation index by using a weighting method, and determining the final weight of the evaluation index according to the Lagrange condition extremum principle; calculating the competitive power comprehensive index of the blueberry industry area; a data collection platform, a data calculation platform and a data release platform are built in advance, and collection of data corresponding to blueberry industry regional competitiveness evaluation indexes and calculation, analysis and release of the evaluation indexes are carried out. According to the method, the regional competitiveness of the blueberry industry is quantified, so that the development conditions of the blueberry industry in different regions can be directly compared; automatic data acquisition, index calculation, data storage and sharing are realized through a software platform, and the working efficiency is improved.

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.

Provided are a method and device for recommending a sales product and predicting a sales amount of an influencer. The device for recommending a sales product and predicting a sales amount of an influencer according to an embodiment comprises: a data collection unit that collects a plurality of pieces of sales history data respectively corresponding to a plurality of influencers and a plurality of pieces of SNS posting data respectively corresponding to the plurality of influencers; a posting data processing unit that analyzes the plurality of pieces of SNS posting data; a data storage unit that stores the plurality of pieces of sales history data, a plurality of pieces of keyword data, and a plurality of pieces of posting quantitative data for the respective influencers; a training unit that trains a product recommendation model with the data stored in the data storage unit; and a sales amount prediction unit that predicts a sales amount of a recommended product, the sales amount being output from the product recommendation model in correspondence to a target influencer. The training unit trains a deep learning-based product prediction model which recommends a sales product to the influencer on the basis of the input 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 discloses a cross-system data transmission processing method and system, and relates to the technical field of data processing, and the transmission processing steps are as follows: S1, data are configured as a network sharing directory among different merchant systems, the data are written into the network sharing directory, and encryption processing is performed based on a quantum encryption technology; s2, a user inputs to-be-known commodity data in a webpage, the commodity data is published to a network sharing catalog, the network sharing catalog obtains information, and matched data is retrieved in a catalog list based on a knowledge graph enhanced NER technology; and S3, the retrieved data information is sent to a webpage, and matching values of the retrieved data are calculated. According to the method, the screening time of the user is shortened, and the data demand is obtained through opening the webpage browser under the condition of not changing and destroying the operation, the interface and the data of the original business system, so that the cross-system business run-through does not depend on the original factory any more, and the data application initiative is comprehensively mastered.