681 results about "Data linking" patented technology

The invention discloses a collaborative sharing method, system and device on an energy data chain fusing multi-party security calculation and zero knowledge proof and a storage medium, and belongs to the field of energy data security sharing and block chain privacy protection, and the method comprises the steps: executing desensitization processing on original data according to types, and generating a cryptographic commitment value and a data hash identifier; encrypting and fragmenting the desensitized data, registering a task structure body through an intelligent contract, and uploading the task structure body; and each node decrypts the ciphertext, executes calculation and generates a zero-knowledge proof, and submits the zero-knowledge proof to the block chain to be verified by the smart contract. According to the method, data privacy protection and result verifiability unification are realized, cross-mechanism cooperation efficiency is improved, an auditing system on a whole process chain is constructed, and safe sharing of energy data is guaranteed.

The invention relates to the technical field of intelligent control, in particular to a dynamic encryption-based data link security management and control system and method.The dynamic encryption-based data link security management and control system comprises a dynamic encryption engine, a key management cluster, a link monitoring unit and a security policy execution array, the switching between the SM9 cryptographic algorithm and the quantum resistance NTRU algorithm is supported; the key management cluster realizes distributed key negotiation and storage through a block chain smart contract, and establishes a bidirectional authentication channel with the dynamic encryption engine; the link monitoring unit is integrated with a multi-dimensional flow probe, and continuously collects link delay jitter, data packet entropy characteristics and protocol compliance indexes; the security policy execution array is deployed at a boundary node of a data link, and is configured with a dynamic access control list and a hardware-level data purification module. Therefore, the problems of insufficient encryption algorithm resistance, significant key update delay, multi-dimensional threat sensing blind areas, dynamic strategy response delay and the like in the prior art are solved.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention discloses an enterprise data link management and value management method and system, and the method comprises the steps: carrying out the real-time capturing of multi-source heterogeneous data of all business systems in an enterprise through a distributed data collection engine, and recognizing the types of original data in different formats through a preset data source adapter; if structured data is detected, a relational database connector is adopted for extraction, and if the structured data is recognized as unstructured data, a document analysis module is started for content extraction, and an initial data set containing metadata tags is obtained; performing format conversion and field mapping on the initial data set according to a pre-established data standardization rule base, eliminating duplicate records and abnormal values through a data cleaning algorithm, performing automatic evaluation on a data quality grade by adopting a naive Bayes classifier, if a data quality score is lower than a preset threshold value, triggering a data recovery process, and if the data quality score is lower than the preset threshold value, performing data recovery. And standardized data meeting a unified standard is obtained. The normativity and value utilization efficiency of data management are effectively improved.

The invention relates to an aviation equipment manufacturing digital main line engine system supporting multi-source heterogeneous data access, and belongs to the technical field of aviation manufacturing data management. The system comprises a multi-source heterogeneous data access adaptation module, a data fusion processing module and a full-process data link construction module. The multi-source heterogeneous data access adaptation module passes through a data interface protocol and format conversion component; the data standardization and fusion processing module completes association fusion through an aviation heterogeneous data collaborative computing framework by means of an aviation manufacturing field data element standard library, a unified heterogeneous data model is generated, and the framework comprises a data fragmentation layer, a parallel node layer and a result aggregation layer; and the full-process data link construction module constructs a data link covering the full life cycle of the product based on a time sequence association algorithm and a product unique identifier mapping mechanism. The system can effectively solve the integration and management problems of multi-source heterogeneous data in aviation equipment manufacturing, and improves the data processing efficiency and the whole-process data tracing capability.

Real-time monitoring and alerting of breached security credentials for server-based endpoints is described herein. In various embodiments, a software component (that intercepts outgoing network traffic from a computing device) or a server-based breach monitoring component may receive a request for endpoint data. Credential data may be included in the request. The endpoint and / or the credential data may be compared to credential data linked to a list of compromised endpoints. An alert may be generated for the client device when both a match is detected with credential data of a breach object on the list of compromised endpoints and the breach time field of the breach object is after a previous credentials change for the endpoint. Access to the endpoint may be blocked and / or a change password mechanism may also be displayed to change the user credentials prior to revisiting the endpoint.

The embodiment of the invention provides a port fault switching method and device and a storage medium, and relates to the technical field of computers. In the embodiment of the invention, the DPUs corresponding to the main port and the standby port in the port binding group can maintain the link information of the data link at the same time. When the main port fails, the link information stored in the second DPU where the standby port is located can be configured to the standby port for use, so that the first device can continue to use the data link to communicate with the second device through the standby port. Moreover, the processing process of configuring the link information to the standby port by the second DPU can be completed in a very short time, and the service data transmission of the data link can be continued as long as the configuration is completed, so that the continuity of the service data transmission can be well ensured. Compared with the prior art, if the original data link cannot be kept, a long time needs to be consumed to reselect one data link, and the service data transmission is interrupted for a long time.

The invention relates to the technical field of deep sea test task management, in particular to a deep sea test task scheduling and management method based on multi-platform collaboration, comprising the following steps: S1, generating an environmental adaptability task priority list; s2, generating a multi-platform interface configuration scheme based on the priority list in S1; s3, constructing a space-time conflict probability model, and outputting an obstacle avoidance path and a resource allocation strategy; s4, generating a data link topological graph; and S5, calculating a deep sea test efficiency index, and optimizing a subsequent test task priority list. According to the method, intelligent scheduling and efficient execution of deep sea test tasks are realized through task priority dynamic optimization, space-time conflict prediction, data link adaptive regulation and control and efficiency index feedback optimization, and the stability of multi-platform collaborative operation, the communication reliability and the resource utilization rate are improved.

The invention relates to the technical field of integrated circuit system-on-chip communication, and relates to a network-on-chip transmission method and device based on a dynamic parallel mechanism, and a medium. The method comprises the following steps: carrying out parallel transmission by adopting a control link and a data link which are separated; the control link and the data link are respectively provided with an independent packing module and an independent unpacking module; different transaction types are adapted through a dynamic message structure; dynamic subpackaging is carried out according to the data size during data link packaging; when the control link is unpacked, parameters are split through the Controldec module and are sent to the parameter receiving module; and when the data link is unpacked, the data link is controlled by a state machine, and the split data is transmitted into a data storage module. The invention aims to effectively reduce congestion, reduce power consumption and improve the transmission efficiency and the overall performance of the network on chip through parallel transmission architecture design, double-link parallel packet processing logic design and a composition structure of a dynamic message.

The invention relates to a UCIe-based data link test method and device, and a chip. The method comprises the steps that a local core particle obtains an eye pattern inspection result which is returned by a remote core particle and is associated with any data channel in a data link; according to the eye pattern inspection result and a preset eye pattern threshold interval parameter, determining whether the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; determining any data channel as a qualified channel under the condition that the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; and under the condition that the eye pattern inspection result does not accord with the interval range allowed by the eye pattern threshold interval parameter, determining any data channel as an unqualified channel. According to the technical scheme, the available bandwidth of the data link can be improved, the stable communication rate of the data link can be ensured, the flexibility of configuration about link training can be improved, and the method and the device can be compatible with a related UCIe protocol.

A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and / or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and / or data portability measure is generated to provide enhanced data privacy protection and data portability.

The invention relates to the technical field of airport scene monitoring, and provides an airport scene monitoring data fusion method and device, the airport scene monitoring data fusion device comprises an active phased array radar, a photoelectric detection system, an edge computing gateway, a network switch, a distribution box, a data processing server, a data link receiving station and a monitoring maintenance terminal. The method can be used for blind compensation for a traditional scene monitoring radar, can be independently deployed and used, is suitable for low-cost application scenes with insufficient construction budget, and can realize scene monitoring and guiding of small and medium-sized airports or navigable airports.

The invention discloses an unmanned aerial vehicle group temporary communication network construction method based on visual self-organization. The method comprises the following steps: establishing an unmanned aerial vehicle node system and a security audit management system to realize flight control and message encryption exchange; airborne perception is realized through a visual candidate site identification system, and multi-modal data fusion and site scoring are carried out; domain autonomy and weighted election are realized by using a distributed voting and election system, and relay nodes are determined; scheduling, monitoring and self-adaptive reconstruction of a multi-hop path are completed based on a multi-hop relay and route maintenance system; and target detection, positioning and emergency document reporting are executed through the search and rescue positioning and situation return system. According to the method, voice and data links can be quickly recovered when ground communication facilities are damaged or unavailable, and under the condition of limited communication and energy, an unmanned aerial vehicle group can autonomously identify a safe position in a distributed manner and negotiate to establish a reliable multi-hop communication network, so that emergency rescue and positioning services are supported.

The invention relates to the technical field of data processing, and discloses a data acquisition processing method and system based on an acquisition model, and the method comprises the steps: determining a plurality of pieces of source data of a data flow source based on the acquisition model, carrying out the priority analysis of each piece of source data in a data set of the same type, on the basis of the data format and the data state of each piece of source data in the source data chain, abnormal data in the source data chain is determined and removed, and whether first to-be-processed data and adjacent to-be-processed data are associated or not is determined according to data features and adjacent data features; according to the association score and the non-association score, whether the remaining data to be processed on the target source data chain is associated with the first data to be processed or not is sequentially judged, and the storage position of the associated data chain and the storage position of the non-associated data chain are determined according to the association score and the non-association score respectively. And the reliability of data processing is improved.

The invention provides a method for extracting complex electromagnetic interference sensitive parameters of a data link of an unmanned aerial vehicle and a related device, and the method comprises the steps: initializing an observation data set, observation data in the observation data set comprises an interference signal parameter group and a signal-to-interference ratio threshold which causes the unmanned aerial vehicle to lose lock of a data link under the electromagnetic interference of the interference signal parameter group; constructing a target function by taking the interference signal parameter group as an independent variable and taking signal-to-interference ratio threshold maximization as an optimization target, and constructing a proxy model of the target function by adopting a Gaussian process; inputting the interference signal parameter group in the current observation data set into the proxy model, and determining posterior characteristic parameters; constructing an acquisition function based on the posterior characteristic parameters, selecting an interference signal parameter group in the search space to carry out an electromagnetic interference experiment, determining a corresponding signal-to-interference ratio threshold value, and updating the current observation data set; the above process is repeated until the preset convergence condition is met, the electromagnetic sensitivity parameter combination can be obtained more quickly, and the manpower, material and time costs of the electromagnetic sensitivity test are reduced.

A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and / or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and / or data portability measure is generated to provide enhanced data privacy protection and data portability.

The invention relates to the technical field of industrial intelligent control, and discloses a multi-model collaborative optimization industrial MES intelligent control system. The system comprises a data analysis module, a knowledge enhancement module, a collaborative decision engine module, a decision fusion module and a control execution module. And the data analysis module executes tree structure-based data link analysis on the MES multi-source heterogeneous data, and constructs a production data tree structure with a multi-layer father-son relationship. And a knowledge enhancement module injects a domain knowledge template into each node of the structure to form a knowledge-enhanced production data graph structure. And the collaborative decision engine distributes the graph structure to a plurality of heterogeneous artificial intelligence models for parallel analysis through the unified service gateway. And the decision fusion module performs fusion processing based on confidence weighting on the output of each model to generate a comprehensive control decision instruction, and finally the control execution module drives the MES to complete production adjustment, equipment optimization and material scheduling. According to the system, the accuracy, the real-time performance and the interpretability of industrial intelligent decision making are improved.

The invention discloses an agricultural product traceability data management method and device based on a block chain. Constructing an alliance chain architecture consisting of a management chain and a data chain, when a certain data chain accesses a new node, sending a request to the management chain corresponding to the data chain, initiating a consensus to each node of the management chain, and determining an access result according to a consensus result; and in response to an external data access request, performing permission matching on the data access request, allocating a permission to the data access request according to a matching result, and displaying the data of the data chain allowed to be accessed by the permission. According to the technical scheme, the architecture of the management chain and the data chain is adopted, the data chain can be brought into supervision and auditing of the management chain, and combined management and control of multiple departments are effectively achieved while the safety of agricultural product quality tracing data is guaranteed; through the identity verification and authority control strategy of data reading access, the authority of the user to data use can be accurately identified, and the data use efficiency is improved while the data security is ensured.

The invention discloses an automatic test method for a data link system, and belongs to the technical field of information transmission and processing. The method comprises the steps of test scheme selection and generation, test item conformity matching, test case automatic generation, test script automatic generation, test process automatic management and manual intervention, test instrument tool automatic control, test data automatic calling, test environment visual display, test result automatic collection and test conclusion automatic evaluation. And generating a system authentication conclusion and the like. Automatic testing of data link system authentication can be achieved to the maximum extent, and it is ensured that the testing process is reliable, safe and efficient.

The invention relates to a method and a system for constructing intelligent risk control capability of consumer finance. The method comprises the following steps: step 1, constructing a full-process digital risk control system; 2, constructing a risk control model variable data link panorama; 3, constructing a big data intelligent risk control core capability; 4, realizing comprehensive and accurate risk description of the user; and step 5, multi-model credit risk decision-making, including multiple links of marketing, fraud prevention, pre-loan, during loan and after loan.

The invention discloses a method suitable for whole-process traceability management of large-scale mechanical equipment, and belongs to the technical field of traceability management of mechanical equipment. The problem that a closed-loop data link is not realized in the whole process due to equipment identity counterfeiting and part replacement is solved. According to the technical scheme, the method comprises the following steps that S1, an NFC electronic lead seal composite identity recognition method is adopted; s2, a whole-process closed-loop tracing data link construction method; s3, establishing a multi-party collaborative authority level-to-level management model; and S4, the intelligent early warning algorithm for state monitoring is utilized to carry out safety level judgment. The method has the beneficial effects that the problems of equipment identity counterfeiting and part replacement can be solved; the full-process closed-loop data link realizes full-life-cycle transparent management; the intelligent early warning algorithm improves the equipment safety risk prevention and control capability.

The invention discloses a data management method and device, computer equipment and a storage medium, and relates to the technical field of big data processing. Through data link tracing analysis, a data source, a processing process and an inter-table access state are clearly displayed for user scene indexes, a user is helped to comprehensively understand a data forming process and timely discover a scene data quality problem, and the data consumption application quality is improved. Meanwhile, a financial data asset system is managed based on a business field line, a data source, a processing process and an application scene are traced, multiple business departments are covered, and data asset management is optimized. In addition, automatic data quality monitoring is achieved, the quality problems of the main data and the service data are displayed in a visual mode, problem nodes are rapidly positioned, and rectification is guided. In addition, the method supports real-time acquisition of a data asset application state, analysis of a user calling scene and use frequency, and construction of a data quality feedback and repair mechanism.

The invention belongs to the field of flight platform simulation design, and discloses a flight platform simulation integrated device based on man-unmanned interaction. The device comprises a manned aerial vehicle platform basic excitation device, a manned aerial vehicle task system excitation device, an unmanned aerial vehicle platform basic excitation device, an unmanned aerial vehicle ground control station excitation device, a network management simulation device and a data link message access device. According to the method, high requirements are provided for information services according to systematic application requirements, and no excitation environment based on a typical platform exists in systematic integration verification currently. In view of completeness and credibility of system integration verification, an aviation platform digital prototype close to the reality needs to be built urgently, and the product designed by the invention provides interface adaptation of manned aircraft / unmanned aerial vehicle infrastructure, task system equipment, network management and links, guarantees simulation test verification of a universal platform, and has a wide application prospect. A verification environment is provided for platform integration design and verification work in the actual technical state of the platform, the problems of platform integration design and the like in the actual state of the platform are solved, the verification environment is provided for verification work, and a universal simulation test platform is provided for system integration verification.

The invention discloses a data chain relative navigation information fusion method and device, and the method comprises the steps: firstly building a relative navigation information fusion state equation according to input information, and then building a relative navigation information fusion measurement equation according to the input information to guarantee a relative space-time reference under a satellite navigation denial condition; based on the relative navigation information fusion state equation and the relative navigation information fusion measurement equation, selecting a corresponding Kalman filter according to the measurement information to carry out relative navigation information fusion so as to obtain a navigation result, and correcting a navigation error state according to the measurement information after a round of state estimation of relative navigation information fusion is completed. And the corrected relative positioning result is reported to the airborne avionics system. Different types of measurement information are fused, and the information is optimally fused by using a Kalman filter, so that the precision and reliability of relative positioning are improved, the measurement information is quickly processed in a real-time environment, and the robustness and stability of the system are kept by correcting a navigation error state.

This application describes a network-on-chip system that could be used in a hardware accelerator for accelerating neural network computations. An example NoC system may include a plurality of cores, and a plurality of data links connecting adjacent cores of the plurality of cores for transmitting data. The example NoC may further include a global synchronization switch connected to each of the plurality of cores. The global synchronization switch is configured to dynamically connect any pair of cores in the plurality of cores for transmitting control signals between the pair of cores.

The invention discloses a data link breakage data processing method, which aims at the problem of loss of return load information caused by instability of a data link in a flight platform, periodically detects a link communication state in real time, and stores received information in a memory in a classified manner when the link is interrupted. After the link is recovered, the information stored in the memory and the real-time data are respectively transmitted back to the ground according to the importance degree, so that the load information in the link breaking process is quickly retransmitted under the condition that no additional hardware device is added to the data link, the integrity of the transmitted back load information is ensured, and the problem of information loss in the traditional data link breaking period is solved.

To reduce a storage capacity and costs required upon response to a data acquisition request.SOLUTION: An information processor includes a control part 110 that executes: storing, into a storage part 120, an information index related to log data collected by a vehicle 200 and a storage destination of the log data linked to the information index; extracting, based on the information index with reference to the storage part 120, a first storage as a storage destination of first log data as log data to be acquired; and requesting the first log data from a device having the first storage. The information index includes information indicating a position where the log data is collected, and the information indicating the position where the log data is collected is expressed by a bit string based on a space filling curve.SELECTED DRAWING: Figure 2

According to the instruction consistency studying and judging device based on the data chain, consistency comparison between unit intentions and control instructions is achieved, potential conflicts are studied and judged, and flight safety is improved. The system comprises an air-ground data interaction cooperation system, an air-ground interconnection and instruction consistency research and judgment system, and a data link flight instruction verification and intention extraction system. The air-ground data interaction and cooperation system is used for acquiring and processing data required by system operation and providing data support for other modules; the air-ground interconnection and instruction consistency research and judgment system judges the timeliness according to the instruction type and continuously monitors the intention of the unit according to a certain strategy; the data link flight instruction verification and intention extraction system realizes real-time acquisition of activated airway and flight path profile data extracted from the airborne flight management system through a safety ground-air data link and extracts unit intention information and high-precision flight path profile information.

The invention provides a multi-source heterogeneous data integrated management method based on a digital main line, a medium and a system, and belongs to the technical field of industrial digital main lines. A digital main line platform is used for collecting data of various formats and conducting standardization processing, a deep ontology fusion model is adopted for achieving cross-domain semantic understanding, and the data of various formats is obtained. Semantic understanding efficiency is improved through adaptive pooling feature dimensionality reduction and separable attention calculation, a storage space is optimized by adopting similarity aggregation de-duplication or a distributed independent storage strategy according to a data overlap ratio, and a digital principal line data consanguinity tracing relation is established to realize full-life-cycle data link construction. Based on the semantic mapping deviation value, a fine fine tuning or coarse tuning mode is adopted to optimize semantic understanding parameters, longitudinal integrated mapping from a function model to a performance model and a physical model and a transverse integrated framework of multi-domain comprehensive simulation are constructed, and the technical problem that cross-domain model semantic understanding accuracy is insufficient is solved.

Embodiments of the present disclosure relate to the technical field of computers, and provide a port fault switching method, a device, and a storage medium. In the embodiments of the present disclosure, DPUs respectively corresponding to a main port and a standby port in a port bonding group can simultaneously maintain link information of a data link. When the main port fails, link information stored in a second DPU where the standby port is located can be configured for use by the standby port, so that a first device can continue to use the data link to communicate with a second device via the standby port. Moreover, the process of the second DPU configuring the link information to the standby port can be completed in a very short time, and once the configuration is completed, service data transmission over the data link can proceed, so that the continuity of service data transmission can be well ensured. In contrast, if the original data link cannot be maintained, a longer time will be needed to reselect a data link, which will cause a long interruption in service data transmission.