33 results about "Open data" patented technology

The invention discloses a rapid identification and grading early warning method for sensitive files of customs field mobile equipment, and relates to the technical field of electronic data forensics, and the method comprises the following specific steps: constructing a sensitive key feature library, collecting and analyzing mirror image data, fusing and judging sensitive information, and automatically generating a sensitive grading early warning and risk report. According to the method, sensitive information samples of customs law enforcement cases, supervision notification cases and compliance public data sources are collected, and accurate extraction of four modal features of images, texts, audios and videos is ensured by using a multi-modal sensitive feature extraction formula; in the preliminary screening stage, file feature vectors are compared in batches through a preliminary screening similarity calculation formula, and suspicious files are quickly marked; in the recognition stage, multi-dimensional matching is adopted for files of different formats, and recognition confidence coefficients of all modes are generated; finally, whether the to-be-detected file is a sensitive file or not is judged through a comprehensive confidence coefficient calculation formula, and the omission ratio is reduced.

The invention discloses a data offline protection method and system. The method comprises the steps that a first server backs up target data from a data source end according to a preset first network isolation strategy, and the target data serve as first backup data; at least one second server backs up the first backup data from the first server according to a preset second network isolation strategy to serve as second backup data, and the second server is in a physical isolation state after backup; wherein the first network is configured in a way that the first server only opens the data transmission with the data source end in a first set time period, and closes the data transmission with the data source end after the first backup data is backed up; the second network isolation strategy is configured to enable the second server to only open the data transmission with the first server in a second set time period, and close the data transmission with the first server after the second backup data is backed up. Unified management, calling of services among systems and function integration can be achieved, and the equipment cost is greatly reduced.

The present application relates to a wide range of silt dam extraction method, device and storage medium based on data engineering, applied to the technical field of soil and water conservation, including: through the acquisition of open data resources including GoogleMap, 12m DEM, the cost of obtaining high-precision DEM is saved, the visible light remote sensing image is divided into a plurality of specific resolution images with geographic coordinate information, a plurality of specific resolution images with geographic coordinate information are respectively input into the pre-built silt dam detection model, the geographic coordinate information of the preselected silt dam distribution is obtained, the pre-built silt dam detection model can update the image regularly, and the silt dam extraction is automatically carried out by replacing the region, the manpower and material resources cost of field investigation and remote sensing interpretation is saved, the present application detects all suspected silt dam distribution points through the image with higher resolution first, then removes the false detection point information by using hydrological analysis and deep learning algorithm, the detection range is complete, and it is suitable for various silt dams, and the detection precision is high.

To provide a system allowing a user to easily prepare a proposal material of high quality reflecting a market trend in real time.SOLUTION: The system includes: means for a user to input information on requirements for creating a proposal material; means for transmitting the input information to a server; means for the server to analyze the input information received from the user and generate an initial proposal material using a generated AI model; means for the server to collect market information in real time from an open data source on the Internet and analyze the market information using a natural language processing technology; means for the server to update the content of the proposal material based on the extracted market information; means for the user to confirm the proposal material generated and transmit a correction instruction to the server; means for the server to update the proposal material based on a correction request from the user and generate a final version of the proposal material; and means for the terminal to provide the final proposal material to the user and the user to confirm and download the proposal material.SELECTED DRAWING: Figure 1

The invention relates to the technical field of water conservancy automation control and edge computing, in particular to a self-adaptive PID control system for a water conservancy reservoir environment, which comprises an edge computing gateway, a water level sensor, a flow sensor and a servo execution mechanism, fluid static geometric parameters are obtained through a topological mapping module, an initial state matrix of a fluid momentum state observer is established, a momentum decoupling module inputs a dam front water level, upstream incoming water flow and opening data to update the state matrix, and transient fluctuation energy characteristics and real reserve residual characteristics are generated through decoupling. The priori fitting module calculates proportion, integral and differential coefficients according to the parameters, and the closed-loop evolution module generates a control instruction and corrects bottom resistance parameters; physical separation of real reservoir capacity change and surface wave disturbance is achieved, invalid oscillation of the gate is reduced, control stability under the flood peak working condition is improved, and the service life of an executing mechanism is prolonged.

The invention provides a data flow private network opening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining first candidate network segment data uploaded by a first object in response to a data flow task, obtaining second candidate network segment data uploaded by a second object, and obtaining the data flow transmission demands of the first object and the second object; processing the first candidate network segment data and the second candidate network segment data based on a network segment screening rule to determine target network segment data; and sending the data to a network configuration center and a data connector for configuration based on the target network segment data and the data stream transmission demand. Through a technical chain of task driving, candidate network segment acquisition, intelligent screening and cooperative configuration, full-life-cycle automatic construction and resource isolation guarantee of a data circulation private network channel are realized, the problems that traditional manual configuration is low in efficiency, error-prone and difficult to expand are solved, and the security, flexibility and manageability of data transmission are remarkably improved.

The application relates to the technical field of character recognition, and provides a general-scene character recognition data automatic generation method and system, which comprises the following steps: collecting and establishing a part of character recognition data set A; using a deep learning-based image enhancement method to generate printed data set B; using an adversarial generative network (GAN) to migrate the style of the data set A to the data set B, and expanding to obtain data set C; using a CTC-based character accurate positioning image enhancement method to obtain D and E; and proportionally mixing the data sets A, B, C, D and E for training, wherein the mixed training adopts a feature-based data enhancement method to enrich sample diversity. The application can solve the problem that, in handwriting character recognition, due to the continuous writing of handwriting characters, the handwriting characters are more diverse, meanwhile, diverse fonts and open data sets are lacking, and handwriting recognition is difficult to achieve the same amazing effect as that of typewritten characters, and high-quality and evenly-distributed data are generated through image enhancement, semantic understanding, GAN and other technologies.

The application discloses a parachute opening data generation method and system, a terminal and a computer readable storage medium. The method comprises the following steps: when a sampling signal is received, a barometric pressure sensor is controlled to enter a full-speed mode to acquire a barometric pressure sensor value in real time, and a first height value is generated according to the barometric pressure sensor value; it is judged whether an IMU enters a measurement mode, if yes, the IMU is calibrated, IMU data is acquired in real time, and first acceleration and attitude data are calculated; according to the first height value, the first acceleration and the attitude data, a fusion algorithm is adopted to obtain parachute opening data. The data acquired by the barometric pressure sensor and the IMU is fused, and accurate parachute opening data for parachute opening judgment can be obtained.

The application provides an edge computing data processing method and device, equipment and a storage medium. The method acquires a to-be-selected data executable file, wherein the to-be-selected data executable file is stored in the cloud; the to-be-selected data executable file is run, a data open area is read, and a data selection mapping area is determined; the data selection mapping area is read to obtain an open data address of the to-be-selected data; and the target edge computing data is determined according to the open data address. The flexibility and expansibility of the to-be-uploaded data signal point are improved, the executable file has no redundancy and additional information, the probability of malicious information attachment is reduced, and the program running stability and system security are improved.

This application discloses a condition monitoring method, device, equipment, and storage medium for pressure pipelines, belonging to the field of condition monitoring for pressure pipelines in hydropower stations. During data acquisition, this application not only focuses on acquiring operational status data related to the pipeline structure but also simultaneously monitors guide vane opening data directly related to turbine operating conditions. Through multi-dimensional data joint analysis, comprehensive monitoring of the pressure pipeline under test is achieved, effectively improving the accuracy of condition identification. Furthermore, based on the contribution of operational status data and turbine guide vane opening data to pressure pipeline risk assessment, this application deeply integrates multi-source monitoring data and determines the risk level of the pressure pipeline under test based on the data fusion results. This data fusion-based condition monitoring mode not only reduces the probability of false and missed faults but also simplifies the fault tracing process for pressure pipelines, reduces the difficulty of tracing, and thus improves the overall reliability and practicality of monitoring and diagnosis.

The application discloses a kind of automobile body parts resistance spot welding quality evaluation method and system.The method comprises: using the existing equipment of automobile production workshop and process parameter to carry out welding experiment to sheet part same as the material of key position of automobile body, open data record function in the host computer of welding equipment, obtain the data file of different quality types of welding spot;According to the result of spot welding, the data file is classified, and the voltage and current data corresponding to each quality type of welding spot are obtained by analyzing all data files, and the dynamic resistance data is calculated;Lightweight one-dimensional convolutional neural network model is built as spot welding quality evaluation model;The test data is input into the spot welding quality evaluation model after training and optimization, and the corresponding spot welding quality evaluation result is obtained.The method realizes the automatic extraction of the deep characterization features reflecting the spot welding quality result in dynamic resistance data, avoids the complex process of data feature extraction and analysis, and obtains higher detection accuracy.

A system is provided.SOLUTION: A system includes a means for inputting a request by a user by text or voice, a means for transmitting the request to a server, a means for analyzing the request in the server, a means for collecting satellite images, aerial images, and open data, a means for generating a digital twin map, a means for providing personalized information, and a means for transmitting the generated information to a terminal and displaying the information.SELECTED DRAWING: Figure 1

Embodiments described herein are generally related to cloud computing, cloud infrastructure, or data analytics environments, and are particularly directed to systems and methods for use with a data analytics environment or other cloud computing environment to provide an open data share for data formats with Delta Sharing. The systems and methods described herein allow for a data sharing service to share data to a client regardless of the format of the data. In accordance with an embodiment, a data share server generates a data log associated with a data table at data source. The data share server can receive a request from a data sharing client. Based upon the created data log associated with the data source, the data share server can share the data table, together with the generated data log associated therewith, to the data sharing client.

The application provides a teaching material intelligent analysis system and platform based on internal resources and external resources, which is used for constructing a teaching material knowledge graph according to digital teaching materials, open data of external Internet and type tags based on the open data, and has the characteristics of including a teaching material preprocessing module, a teaching material structure analysis module, an internal resource linking module, an external resource linking module and a teaching material knowledge graph module. In summary, the method can construct a teaching material knowledge graph with high-quality internal and external resources, and construct a platform for providing more abundant digital teaching material related information.

The application relates to the technical field of information collection in the security field, and discloses a vertical information intelligent collection system in the security field, which comprises a data collection module, a data security module, a data classification module and an intelligent analysis module. The data collection module collects global internet open data through distributed collection technology. The data security module adopts anti-collection and anti-tracing technology in the collection process to prevent external tracking and data tracing. The data classification module automatically classifies and structurally processes the collected multi-source information and stores the information in a preset vertical database. The intelligent analysis module analyzes, judges and aggregates the classified information based on an artificial intelligence big model. Through the whole-process closed-loop processing from the collection of vertical information in the security field to the generation of a report, the vertical information intelligent collection system in the security field deeply adapts to the special requirements of regional security events, specific types of public security events, policy and regulation change information and the like in the security field, and prevents the generalization of collection, the shallow analysis and the insufficient report pertinence of a general information collection system in the security field.

The application discloses a medical research data space-oriented data discovery and privacy computing cooperation method, device, medium and product; the method comprises the following steps: establishing a contract unique identifier for medical research data; opening data structure information of medical research data not containing real data entities to a data user; generating sample data corresponding to the medical research data, and providing the sample data to the data user after opening the data structure information; receiving a probe condition input by the data user on the sample data, and associating the probe condition to the contract unique identifier; converting the probe condition associated with the contract unique identifier into a data delivery range; after the contract takes effect, performing a real query operation on original real data corresponding to the medical research data according to the contract unique identifier and the data delivery range, obtaining real data results, and connecting the real data results to a data space privacy computing platform; and the safety of the medical research data is ensured.

The invention belongs to the field of credible data space construction, and particularly discloses an industrial credible data space construction method and a data processing method.The construction method comprises the steps that a view layer is constructed on a database, and the database comprises a service database, a data center database or a basic data set; the view layer processes the data in the database based on the attributes and opening requirements of the data to generate a plurality of data views, and the classification of the data views comprises public welfare data, openable data without privacy protection, openable data requiring privacy protection and limited open data; and a data networking interface is constructed, and the data networking interface is connected with the view layer and is used for realizing data sharing, exchange and transaction through a data opening interface, a data sharing interface, a data exchange interface, a data transaction interface and a data model interface. According to the application, a uniform data networking interface can be constructed on the premise of local data retention, and credible sharing, exchange and transaction of industry data are realized.

This application provides an open data synchronization service method, system, device, and medium. The method includes the following steps: acquiring the network status of distributed open data sources and their mirror sites, and generating dynamic health indicators based on availability and transmission performance; receiving and parsing synchronization requests, ranking candidate transmission paths based on health indicators, and selecting an execution path; identifying the target data source and verifying its metadata and compliance rules, and generating access control instructions; if access is granted, issuing collection tasks to collection nodes on the execution path and dynamically managing the task status; splitting the collected raw data stream into a content stream and a metadata stream in parallel, calculating content fingerprints for deduplication, and performing reference or distributed storage operations, while simultaneously extracting index features and storing them in an index database. Implementing the technical solution provided in this application can dynamically select the optimal transmission path based on network status and data source characteristics, improving the stability and efficiency of data synchronization.

The invention relates to the technical field of public data opening, in particular to a public data availability optimization method and system. The method comprises the following steps: converting original data into a machine-readable format file, and generating a format feature vector; determining an optimal RDF mapping strategy of each machine-readable format file based on the format feature vectors, performing mapping according to the strategy to form an RDF knowledge graph, identifying entities in the mapping process, triggering key identification field missing detection when a pre-labeled entity type is identified, and scheduling an external API for complementing when key identification field missing is detected. The complementation value of the missing identification field is directly injected into the RDF knowledge graph; and converting the evaluation index proportion of the forest index into a first-level weight, performing adjustment based on a completion result of the missing identification field to obtain a second-level weight, and performing feedback optimization on the optimal RDF mapping strategy. The availability of public open data is improved, and a continuous dynamic optimization process closely linked with a service target is realized.

The invention relates to the technical field of electric power spot market quotation strategies, in particular to an electric power market day-ahead clearing price decision-making method and related equipment, and the method comprises the steps: obtaining market public data, enterprise internal data, external environment data and other multi-source historical electric power data; after preprocessing, a feature set including time sequence features, market features and unit operation features is constructed. And constructing a prediction model by adopting a Lightgbm machine learning algorithm, and predicting the day-ahead clearing price in the next time period. And based on a prediction result, through a double-market benefit quantification calculation model, benefit values of three strategies of active participation, passive participation and non-participation in frequency modulation are calculated respectively, and finally a quotation strategy with the maximum benefit is selected as an optimal decision. According to the method, data-driven accurate prediction and strategy optimization are realized, the decision-making efficiency and economic benefits of the electricity market participants are improved, and the method has a remarkable application value.

The invention discloses a medical scientific research data space-oriented data discovery and privacy calculation cooperation method and device, a medium and a product. The method comprises the following steps: establishing a contract unique identifier for medical scientific research data; opening data structure information of the medical scientific research data which does not contain the real data entity to a data user; generating sample data corresponding to the medical scientific research data, and providing the sample data to a data user after the data structure information is opened; receiving a probing condition input on the sample data by the data user, and associating the probing condition to the contract unique identifier; converting a probing condition associated with the unique contract identifier into a data delivery range; after the contract comes into effect, according to the contract unique identifier and the data delivery range, executing a real query operation on original real data corresponding to the medical scientific research data to obtain a real data result, and accessing the real data result to a data space privacy computing platform; therefore, the security of medical scientific research data is ensured.

The invention relates to an IP positioning landmark collection method and system based on a large language model and a medium, a complete mixed landmark collection system is constructed by creatively integrating multi-dimensional landmark sources such as the large language model, cloud service open data and Internet of Things equipment, firstly, semantic-level geographic information extraction is carried out on webpage content by adopting the large language model, and then the webpage content is extracted by adopting the cloud service open data; iP address range information disclosed by a cloud service provider is creatively utilized, a high-precision cloud service landmark library is established in combination with a professional data center positioning service, an Internet of Things equipment landmark acquisition system is constructed based on a cyberspace surveying and mapping engine, and a regional confidence weighted multi-source verification mechanism is innovatively introduced. Therefore, a million-scale landmark collection and verification framework is realized, the accuracy of an existing positioning method is greatly improved, the positioning error of a classical algorithm is reduced, and high-quality data support and technical guarantee are provided for the field of IP geographic positioning.

The application provides a hard disk read-write performance improvement method, an improvement device, a hard disk and a storage medium, relates to the technical field of hard disks, and comprises the following steps: changing the field value of a feature field in an open data block of a hard disk according to the power-off state of the hard disk; obtaining the field value after the hard disk is powered on; performing a read operation on an open page corresponding to the field value in the case where the field value meets a preset condition; determining the size relationship between the error number of the open page and a preset threshold according to the result of the read operation; and performing data refreshing or a data write operation on the data block where the open page is located according to the size relationship between the error number and the preset threshold. The application solves the performance jitter problem caused by the direct garbage collection affecting normal read / write operations on the basis of ensuring reliability, thereby improving the read-write performance of the hard disk and bringing a better use experience to users.

The present application relates to the technical field of privacy computing, and specifically provides a distributed multi-party asynchronous isolated secure retrieval method and device, wherein a shared network is formed by a data retrieval initiator and a data owner using a front-end machine cluster node, retrieval business is completed based on a front-end machine TEE (Trusted Execution Environment) and a hidden query method; a permission control unit is configured on remote authentication permission control of the TEE, permission monitoring at an instruction level is realized, and through sensitive data desensitization, open data and ciphertext query data confusion, query initiator anonymization and query condition fuzzification, query intention request collection, it is ensured that the entire life cycle of data query and statistical operation is carried out in a trusted isolated environment, and the security and privacy protection of data are strengthened. Compared with the prior art, the present application effectively prevents malicious operation and illegal access, thereby ensuring the security and privacy protection of data.

This invention relates to the field of water conservancy automation control and edge computing technology, specifically an adaptive PID control system for a water conservancy reservoir environment, including an edge computing gateway, a water level sensor, a flow sensor, and a servo actuator. A topology mapping module acquires the static geometric parameters of the fluid and establishes an initial state matrix for a fluid momentum state observer. A momentum decoupling module inputs upstream water level, upstream inflow, and opening data to update the state matrix, generating transient fluctuation energy characteristics and actual storage residual characteristics. A priori fitting module calculates proportional, integral, and differential coefficients based on these characteristics. A closed-loop evolution module generates control commands and corrects the bottom resistance parameters. This invention achieves physical separation between actual reservoir capacity changes and surface wave disturbances, reduces ineffective gate oscillations, and improves control stability and actuator lifespan under flood peak conditions.

The invention relates to a financial enterprise data quality evaluation method and system based on an LSTM algorithm, and the method comprises a quality rule modeling and quality abnormity intelligent detection step, a quality problem grading processing step, a processing result closed-loop verification step, and a multi-dimensional dynamic evaluation report generation step. Firstly, a quality rule system is constructed according to technical attributes and business semantic features of source-attached layer data, then a data volume prediction model is constructed based on an LSTM algorithm, a dynamic threshold value is generated, and a dual anomaly detection mechanism for full-amount check of the source-attached layer data is realized in combination with the quality rule system; performing grading processing and closed-loop verification on the abnormal data; an open data quality evaluation system is constructed, definition and association mapping of quality dimensions, quantitative indexes and quality rules are completed in a configuration mode, and then a multi-dimensional dynamic evaluation report is automatically generated. The method can accurately capture data volume fluctuation abnormity, improves the intelligence and efficiency of financial data quality management, and is suitable for quality management and control of financial enterprise data in a full life cycle.

The invention provides a communication method, communication equipment and a storage medium. Wherein the first communication equipment is an access network node; the communication method applied to first communication equipment comprises the following steps: receiving a first data opening request message sent by second communication equipment; and reporting a first data open response message carrying open data to the second communication device.

The invention provides a non-contact measurement result interactive cooperation method and system, and relates to the technical field of surveying and mapping result application. Issuing and storing the non-contact measurement result data for a collaborative user to call and access, and adding collaborative suggestions for the project by the collaborative user; the collaborative opinions are generated by picking up coordinates of an intersection point of a control point and published non-contact measurement result data by a collaborative user and performing anchor point comments, and the comments support newly adding, viewing, modifying, replying and deleting. According to the invention, by building an open data collaboration publishing platform, collaborative operation of conventional measurement operation data is facilitated, meanwhile, convenient team collaboration functions such as project permission transfer and the like are supported, and the efficiency of non-contact measurement result collaboration is improved.

The invention discloses an anomaly detection method, electronic equipment and a computer program product, and relates to the technical field of wireless communication. The anomaly detection method comprises the following steps: acquiring account opening data information of a user based on statistical data of a signaling platform; based on a user data management UDM log and the account opening data information of the user, determining a service list strongly associated with the voice service of the user establishing the call and account opening data corresponding to the service list; according to the service list, account opening data corresponding to the service list and account opening data information of the user, obtaining service combination and account opening data combination information, the service combination and account opening data combination information being used for representing service and account opening data conditions corresponding to each user; and based on the service combination and account opening data combination information and the account opening data information of the user, determining a problem corresponding to the abnormal call of the user.

The invention discloses an OSM-based flight route evaluation method, which comprises the following steps: S1, discretizing a flight route, and dividing the flight route into a plurality of sub-flight segments; s2, obtaining the OSM geographic data information of each sub-route segment, and merging to obtain the OSM geographic data information of the route; s3, classifying the geographic data information acquired from the OSM according to different label types, and performing classified statistics according to the airline safety degree, the operation environment reliability, the operation technology reliability and the public acceptability; and S4, evaluating the route according to the counted number of the labels and the weight of the class where the labels are located. According to the method, the OSM is utilized to open the data source, geographic information in the global range can be flexibly obtained, and the method is suitable for various urban environments; the specific geographic information of each sub-route segment can be independently inquired and evaluated through discretization processing of the route, the limitation that evaluation is carried out only depending on a starting point and an end point is avoided, and therefore a high-risk area is accurately recognized.