970 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 equipment remote control, and discloses a remote control method and system for sewage treatment equipment and a storage medium. The method comprises the following steps: performing communication encryption and identity authentication processing on a standard data packet of a sewage treatment system, and constructing an equipment communication link; performing intelligent analysis and state diagnosis processing on the data in the equipment communication link, and generating an equipment operation state report; performing control strategy generation and parameter matching processing according to the equipment operation state report, and outputting an equipment control instruction; performing hierarchical analysis and execution state monitoring on the equipment control instruction, and establishing a control feedback data link; and performing remote optimization treatment according to the data in the control feedback data link so as to realize remote intelligent control of the sewage treatment equipment. Under the condition that the sewage treatment equipment is dispersedly arranged, the real-time monitoring of the running state of the equipment and the intelligent adjustment of the process parameters are realized, and the stability of the treatment effect is ensured.

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.

The invention discloses a marketing data link abnormity diagnosis method, system and device and a storage medium. Relates to the technical field of power system data management. At present, the problems of multi-source data format difference, lack of real-time anomaly detection mechanism and low data management efficiency exist in anomaly diagnosis. The method comprises the steps that multi-source heterogeneous data of a marketing data link is collected in real time, and data cleaning, missing value filling and abnormal value processing are completed; extracting statistical characteristics of the link data, performing clustering analysis on the data, and generating a self-supervision label; constructing a support vector machine classification model, and detecting normal and abnormal data in the link; optimizing the anomaly detection model through a deep neural network; and realizing interpretability analysis and decision support of anomaly diagnosis by using a multi-classification result generated by the LSTM model and a self-supervised learning strategy. According to the invention, data link abnormity diagnosis is efficiently and intelligently realized, and data quality management, abnormity detection precision and service decision support capability are improved.

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 embodiment of the invention provides a server, a computer system and a multi-node management method, the server comprises a processor node and a connection node, the processor node comprises a plurality of processors and a first controller, and the connection node comprises a plurality of cable groups; the connection node is used for connecting reference equipment and providing multiple groups of data links for performing data transmission with the reference equipment for the multiple processors through the multiple cable groups; the first controller is used for establishing a corresponding relationship between the plurality of groups of data links and the plurality of cable groups; and in the process of data transmission between the plurality of processors and the reference equipment, detecting a target cable group with a fault from the plurality of cable groups according to the corresponding relationship and the fault state of each data link in the plurality of groups of data links. According to the method and the device, the problem that the efficiency of positioning the faulted cable group is low is solved, and the effect of improving the efficiency of positioning the faulted cable group is further achieved.

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 invention discloses a Link 11 signal detection and identification method based on YOLOv8, and belongs to the field of signal detection and identification in the communication field. An existing signal detection method has the defects of complex calculation, poor performance and the like, and a signal recognition method has the problems of low training efficiency and poor recognition capability of an algorithm. The invention discloses a Link 11 signal detection and identification method based on YOLOv8, and the method is realized through the following steps: making a data set based on a signal generated by MATLAB, carrying out the preprocessing of the data set signal, so as to optimize the signal, and enabling the processed signal to be convenient for subsequent processing; time-frequency analysis processing is carried out, and a converted time-frequency graph is sent to a YOLO network; feature learning is carried out in the YOLO network, and the network is trained; and detecting and identifying the signal by using the trained network weight, and classifying and identifying the extracted feature vector. According to the method, the YOLOv8 model is used for detecting and identifying the Link11 data link communication signal, and the detection rate and the identification rate of the signal are further improved on the basis of the prior art.

The invention provides a meta-universe cross-scene anonymous seamless identity authentication method based on double block chains. The meta-universe cross-scene anonymous seamless identity authentication method comprises an initialization stage, a scene server registration stage, a user registration stage, a stage that a user logs in and creates an avatar in a scene server, and a user cross-scene server authentication stage. The server is set for different application scenes, the load of the server is reduced, and a user can experience various scenes without changing equipment. A fuzzy extractor and block chains are adopted to protect privacy information such as biological information and avatars of a user, meanwhile, a double-block-chain mode is adopted, authentication information of a server and the user is stored on an authentication data chain, the user moves in different services, an interaction data chain stores avatar data of the user in a multi-scene server, and the user experience is improved. And the data consistency is realized. The double block chains realize isolation of user real data and virtual data in the meta universe, privacy data of the user is effectively protected, the user does not need to input information again for login, and seamless authentication is realized.

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.

A first device for monitoring products repeatedly carries out a sensing step via a sensor and stores the result of sensing, time data, and status data in a storage unit. The first device conducts transmission via a first communication network whereby a first data set that includes transmission data identifying the transmission, first ID data identifying the first device, and sensing data of the associated time data is transmitted. The first device links the transmission ID data to the respective transmitted sensing data, and receives acknowledgement data sets that include transmission ID data identifying one of the transmissions conducted by the first device. The first device sets the transmission status of sensing data to “ready” upon storing the respective sensing data; and to set the transmission status of sensing data to “acknowledged” upon receiving an acknowledgement data set which comprises transmission ID data linked to the respective sensing data.

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 discloses an atmosphere lamp control method and system based on star flash transmission, relates to the technical field of automobile atmosphere lamp control, and aims to solve the problems of high time delay and poor anti-interference ability of an atmosphere lamp control system, and the method comprises the following steps: 1, establishing an asynchronous data link and a synchronous data link; 2, acquiring frequency spectrum and volume information of the audio; 3, converting the frequency spectrum and volume information of the audio into specific color and brightness information, and generating a light effect; 4, converting the color and brightness information into HSL data, and transmitting the HSL data to an atmosphere lamp module through a synchronous data link; 5, the atmosphere lamp module converts the received HSL data into the color and the brightness of the lamp beads and sends the color and the brightness to each lamp bead, the atmosphere lamp control system and method based on star flash transmission use the star flash SLE technology, and the data is rapidly and stably transmitted; through audio preprocessing and feature extraction and in cooperation with synchronous data link transmission of star flash, the effect of the atmosphere lamp reaches the best; the use of wire harnesses is reduced, the cost is saved, and the power consumption of an automobile is also reduced.

The invention relates to the technical field of data management, and discloses a data machine room integration safety management method and system, and the method comprises the steps: collecting to-be-transmitted data, obtaining a data size and a data type, comparing the data size and the data type with a corresponding data size range, and constructing a to-be-transmitted data chain; outputting the importance degree of the to-be-transmitted data chain, and determining the initial storage speed of the to-be-transmitted data chain; collecting the first influence value and the second influence value of each database to determine a comprehensive influence value, and judging whether the initial storage speed is adjusted or not; when the adjustment is judged, constructing a feature vector, comparing the feature vector with a historical adjustment scheme, and determining an adjustment coefficient to adjust the initial storage speed; and storing the to-be-transmitted data link to a machine room backup database at the adjusted storage speed. According to the invention, intelligent adaptation in different network states is realized, high-efficiency and safe transmission of data is ensured, the risk of data loss or low-efficiency transmission is avoided, and the flexibility and reliability of a data center storage system are improved.

A method for adapting a continuous time equalizer (CTE) includes determining a gain of a discrete time equalizer (DTE) and determining whether the gain has increased or decreased by more than the threshold amount. Responsive to determining that the gain has increased or decreased by more than the threshold amount, the method includes sequentially configuring the CTE for multiple CTE settings such that gain of the CTE is caused to increase or decrease in a same direction with the change in gain of the DTE. The method also includes determining a separate figure of merit (FOM) for each of the multiple CTE settings and selecting a new CTE setting from the multiple CTE settings based on the FOM for each of the multiple CTE settings.

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 a threat intelligence perception method and device, equipment and a medium, and relates to the technical field of information security, and the method comprises the steps: constructing a network matrix according to the historical threat intelligence data of each node in a target network; performing iterative simulation on the network matrix by using a fast extended random tree algorithm to obtain attack paths in the network matrix and pheromones of nodes in the attack paths; based on the attack paths and the pheromones of the nodes, acquiring pheromone important values among the nodes, and storing threat feature samples and threat intelligence data links screened from the historical threat intelligence data and the attack paths according to the pheromone important values in a preset rule base; and collecting current traffic data of each node in the target network, and comparing the current traffic data with the threat feature sample and the threat intelligence data link so as to determine whether the current traffic data has a threat attack according to an obtained comparison result. Through the scheme, the efficiency of threat intelligence perception can be improved.

The invention provides a message queue processing method and device, electronic equipment and a storage medium, and the method comprises the steps: creating at least one message table in a database, each message table corresponding to a target queue, and the message table being used for storing description information of messages; the message table comprises at least one data chain table, the data chain table is used for storing message content, and each data chain table corresponds to one sub-queue of the target queue; obtaining at least one target message produced by a producer and description information carried by each target message, wherein the description information of the target message comprises a user identifier of the target message; and distributing the target messages with the same user identifier to the same message table according to the user identifier of each target message. In this way, the real-time performance of service processing of other users cannot be affected through the two-dimensional queue mode. Besides, compared with a middleware mode, the mode of creating the message table in the database can reduce less hardware and maintenance cost.

The invention discloses an optical domain intelligent reconstruction high-integration modular optical fiber data chain and an operation method, and the optical fiber data chain comprises a high-integration optical fiber data chain platform based on an all-optical switching and electro-optical / photoelectric conversion dense array. The platform comprises an intelligent main control computer, an electro-optical conversion dense array card, a high-integration VPX standard case, a photoelectric conversion dense array card and a high-integration all-optical switching matrix board card. The electro-optical conversion dense array card and the photoelectric conversion dense array card are connected with the high-integration VPX standard case, and the high-integration VPX standard case is connected with the high-integration all-optical switching matrix board card; the intelligent main control computer is connected with the high-integration VPX case through an Ethernet interface; and the optical fiber data link platform realizes optical domain intelligent reconstruction of a high-integration modularized optical fiber data link based on a high-isolation all-optical switching technology under the control of the main control computer. The system has the advantages of being good in intelligent degree, high in integration degree, high in reliability, good in universality, extensible, replaceable, upgradable and easy to operate.

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 discloses a method for root cause analysis of product defects based on a knowledge graph, comprising: capturing the design data associated with the product, wherein the design data includes semi-structured and / or unstructured data; capturing the production data associated with the product, wherein the production data includes structured data; performing information extraction from the design data to obtain structured data; performing knowledge fusion of the knowledge generated from the production data and the structured design data, respectively, to create a target knowledge graph; and performing the tasks for root cause analysis of product defects using the target knowledge graph.

Various methods, apparatuses / systems, and media for automatically fixing health of a certain component of an application are disclosed. A processor establishes a communication link between an application and a plurality of data sources each storing raw data related to a certain strategy contract data, wherein the raw data includes a header data and a leg data; accesses the plurality of data sources to obtain the raw data from each data source; identifies from the raw data corresponding leg data based on corresponding leg assignment data associated with the strategy contract data; assigns each identified leg data of the strategy contract data a sub key; combines each sub key to generate a unique combination ID; implements the unique combination ID to derive a character string; and executes the derived character string to link together each strategy contract data received from the corresponding data source based on the corresponding leg assignment data.

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.

The invention relates to a security record linking method and system based on circuit privacy set intersection, and belongs to the field of privacy protection data linking. The method comprises the following steps: a first participant and a second participant preprocess data to be screened, and perform integration and dimension reduction on features; the first participant and the second participant divide the held data to be screened into buckets, and calculate a pseudo-random function value for the bucked data based on an oblivious pseudo-random function; the first participant and the second participant realize screening of target data based on an oblivious pseudo-random function protocol to obtain a secret sharing share indicating whether the target data is matched or not; the first participant and the second participant respectively perform weighted calculation on screening score shares based on the feature error rate and the secret sharing shares whether the features are matched or not; and the first participant and the second participant carry out recovery calculation based on the screening score share to obtain a screening score, and link screening is completed based on a threshold value. According to the invention, the screening accuracy and security of the existing privacy protection data link method are improved.