1633 results about "Data link" patented technology

A wind energy plant with a nacelle, a rotor, which features at least one rotor blade adjustable in its blade pitch angle, a central control device for controlling the wind energy plant and a control unit disposed in the rotor for controlling the blade pitch angle of the at least one rotor blade, wherein the central control device and the control unit in the rotor can exchange data with each other via a data link, which comprises at least one first sending and receiving device at the nacelle side and at least one second sending and receiving device at the rotor side, wherein a wireless network connection with a safety-oriented communication protocol is provided between the at least one first sending and receiving device and the at least one second sending and receiving device, and that one monitoring- and communication device at a time is associated to the first and / or the second sending and receiving device, which can monitor the function of the sending and receiving device and initiate a predetermined action in the case of an error.

An Applicant Assistant System may receive, from a user device, a user input indicating a query or task associated with information displayed in a user interface. The device may determine one or more components associated with the user interface and access component metadata of the determined one or more components, the component metadata for each of the one or more components indicating one or more of a fact, a data link, or an action. A prompt comprising at least some of the component metadata, at least some context information, and an indication of one or more available response elements may be provided to a large language model (LLM). The LLM may response with one or more response elements that may be processed by the System, such as to cause updates to the user interface on the user device.

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 diagnostic system and method for identifying and resolving vehicle Controller Area Network (CAN) bus faults is disclosed. The system connects to a vehicle's data link connector (DLC) and automatically retrieves diagnostic trouble codes (DTCs) from multiple electronic control units (ECUs). It filters the DTCs to identify those related to CAN communication errors, groups repeated DTCs across ECUs to highlight systemic faults, and assigns repair priority based on status, scope, and criticality. A user interface displays prioritized DTCs with definitions, affected systems, possible causes, and repair guidance. Upon technician input, the system re-scans the network to confirm resolution and updates the display accordingly. The invention supports semantic and conceptual recognition of communication faults, enabling robust, language-agnostic analysis. This system reduces diagnostic time, improves repair accuracy, and supports multilingual or manufacturer-specific DTC definitions without requiring external infrastructure or advanced user expertise.

The invention relates to the technical field of data processing, in particular to a whole-process data monitoring and visual management method and system for an air separation process, and the method comprises the steps: collecting key parameter data in the air separation process, and input data vectors and output data vectors among equipment; constructing a parameter correlation model to analyze the input data vector and the output data vector to obtain data deviation; if the data deviation exceeds a dynamic threshold value, triggering a multi-level alarm mechanism, and generating a block chain log record; generating a hash value for the key parameter data, and marking an abnormal link; a bimodal anomaly detection model is constructed to analyze an abnormal link, an equipment performance attenuation coefficient and an inter-equipment anomaly influence relation coefficient are obtained, and a comprehensive anomaly score is generated through a fusion technology; when the comprehensive abnormal score is greater than a preset threshold value, constructing a fault tree model to reversely trace an abnormal data link for the abnormal link, and positioning a fault source; and full-process data monitoring and management are realized through a visual interface.

The invention relates to the technical field of large language models, in particular to a reservoir dam safety evaluation report multi-dimensional examination method based on a large language model. A reservoir dam safety evaluation report is processed by constructing a multi-dimensional insight brain-assisting model; using the risk preview to output a risk early warning text; performing scene verification, extracting parameters to drive external simulation, and outputting a comparison analysis report; a natural language processing technology is adopted, a traceable data link is constructed, and a semantic link traceability set is generated; and the multi-dimensional insight auxiliary brain model performs comprehensive review on the semantic link traceability set, records review difficult points, and generates a multi-dimensional review report through a man-machine common intelligence report engine. At present, a review method of a reservoir dam safety evaluation report has the problem of single review dimension. Therefore, the invention provides a reservoir dam safety evaluation report multi-dimensional examination method based on a large language model.

The invention discloses a safety device for reducing the back-up collision risk in the automatic driving test process, and belongs to the technical field of automatic driving test safety. Aiming at the collision risk problem caused by rapid movement of dynamic obstacles and communication delay when a vehicle backs up in a closed test site, the device obtains millimeter-level position coordinates and course angles through positioning units deployed on a test vehicle and a target object; a C-V2X protocol is utilized to construct a real-time data link to share vehicle position, speed, backing track prediction data and target object outer contour feature point coordinates, potential conflicts are identified based on future minimum spacing calculation and dynamic threshold, and a cooperative collision avoidance path is generated in combination with a distributed optimization algorithm. And the high-risk vehicle preferentially preempts a communication channel to issue deceleration, course adjustment and braking instructions to surrounding vehicles. The device can effectively improve the reversing safety in a multi-vehicle cooperative test scene, and is suitable for collision risk real-time early warning and active intervention of an automatic driving vehicle closed test site.

Video inspection systems are disclosed. In one embodiment a video camera for use in a pipe inspection system includes a camera head including an outer housing, a camera module assembly including video and non-video sensors, a processing circuit, and a data link receiver.

The invention relates to the technical field of cluster video stream processing, and discloses a video stream real-time coding and decoding transmission method under a cluster. The method comprises the following steps: firstly, acquiring video stream coding parameter text data, link state time sequence data and equipment performance index data of multiple nodes of a target cluster to form a transmission link data set; semantic analysis is carried out on the coding parameter text data to obtain a coding semantic feature vector, dynamic fluctuation features are extracted from the link state time sequence data to obtain a link fluctuation feature vector, and cross-modal fusion is carried out to generate a fusion transmission feature set; generating an abnormal association degree score set by using a pre-trained multi-layer sensing network model, and obtaining an abnormal source node and an equipment defect type by combining root cause tracing according to the abnormal association degree score set; and finally, generating a dynamic optimization strategy and feeding back to the transmission control system to trigger parameter calibration. According to the method, the abnormal root cause can be accurately traced, the transmission parameters are optimized, and the cluster video stream transmission quality is improved.

The invention provides a construction dynamic twinning method based on the Internet of Things and BIM, and relates to the technical field of digital twinning, and the method comprises the steps: obtaining heterogeneous data streams collected by a sensor, and carrying out the analysis and classification of the data streams, and generating a standardized data set; performing semantic mapping on the standardized data set according to association rules of BIM component identifiers and data attributes to generate a component association data set; decrypting and decompressing the encrypted data packet at the cloud, analyzing the construction progress time sequence data by adopting a distributed computing framework, and generating a deviation detection result; dynamically adjusting a routing rule of a data link according to a deviation detection result, and redistributing a processing priority to optimize link configuration; updating a BIM component state based on the optimized link configuration, and generating a real-time updated digital twin model by adopting cloud computing resources; three-dimensional visual data are extracted from the digital twin model and mapped to a BIM model interface by adopting a rendering technology, so that the monitoring precision and the management efficiency of the construction process are effectively 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 relates to a maintenance operation guiding method, system and equipment based on intelligent interaction, and the method comprises the steps: analyzing the operation intention of a user as at least one type of equipment dismounting, fault removal and knowledge retrieval, and generating a multi-mode guiding strategy; based on a multi-modal guiding strategy, coordinating and controlling a man-machine collaborative operation link; after one job is completed, multi-dimensional verification data is constructed, and when any one-dimensional verification data exceeds a corresponding knowledge graph threshold value, intervention work is activated; and generating a guiding efficiency file which is synchronously mapped with the operation link and comprises a multi-mode guiding strategy triggering log, user response behavior sensing data and a strategy adjustment utility evaluation graph, and binding the guiding efficiency file and the unique identification code of the maintenance object through an encrypted data link and storing the guiding efficiency file and the unique identification code in a preset database. According to the method, the talent cultivation period is remarkably shortened, meanwhile, the maintenance quality stability and the knowledge inheritance efficiency are synchronously improved, and reliable technical support is provided for equipment full-life-cycle management.

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 invention discloses an electromechanical fusion intelligent operation and maintenance elevator integrated control system which comprises a multi-mode sensing fusion system, an edge computing control center and a cloud intelligent decision platform. The multi-mode sensing system collects elevator physical state data in real time through a high-precision electromagnetic field sensor, a vibration sensing network and an infrared-optical fiber fusion temperature measurement module. The edge computing center adopts an FPGA accelerated signal processor to realize multi-source data feature fusion, and the multi-source data feature fusion is uploaded to the cloud platform through an encrypted data link; and the cloud digital twin engine constructs a multi-body dynamics and electromagnetic field coupling model, generates an optimization control instruction in combination with a deep learning algorithm, and feeds back the optimization control instruction to the edge layer for execution. According to the system, a sensing-edge-cloud three-level collaborative architecture is innovatively provided, millisecond-level sensing, minute-level decision making and microsecond-level control closed loop of the elevator running state are achieved, and the fault early warning accuracy and the operation and maintenance response efficiency are further improved.

The invention relates to the technical field of software testing, can be applied to business system platforms of financial science and technology, medical treatment and health and the like, and discloses a fault simulation method, device and equipment based on a code probe and a medium. Constructing a corresponding fault logic code according to the payment data link; injecting the fault logic code into the to-be-tested fault object to obtain a target fault object; performing payment fault simulation on the target fault object according to a preset payment fault simulation condition and the fault logic code to obtain fault response data corresponding to the target fault object; and performing fault analysis on the target fault object according to the fault response data to obtain a target fault analysis report of the target fault object. According to the invention, full-link intelligent fault simulation can be realized and the verification reliability of each transaction of the target system can be improved.

The invention discloses a data quality treatment method and system based on an AI Agent, and belongs to the technical field of artificial intelligence and data treatment. An initial data semantic distribution map is constructed, cross-dimension correlation feature factors are extracted, a multi-scale quality anomaly sensitive factor matrix is constructed, time sequence evolution weights are embedded, and a dynamic feature evolution trajectory is formed; performing perception modeling on the evolution trajectory by using an AI Agent, generating a multi-level quality risk thermodynamic diagram, extracting a deviation dense region and constructing an anomaly propagation path set; in combination with upstream and downstream data links and task flow information, calculating a potential impact factor weight, constructing a causal traceability map, and injecting a correction strategy label for a key field node; the AI Agent autonomously selects an adaptive strategy combination according to the target data segment, and performs online intervention on the target data segment; according to the method, closed-loop treatment of the data quality problem from perception and judgment to intervention and feedback is realized, and the method has the advantages of self-adaption, high interpretability and the like.

The invention discloses a multi-communication link management platform and method for a wireless ad hoc network, and relates to the technical field of wireless communication, and the platform comprises a situation awareness module which is used for collecting data and generating situation data in combination with a three-dimensional digital map; the link occlusion risk prediction module is used for generating a predictive occlusion index based on the situation data; the multi-link comprehensive efficiency evaluation module is used for receiving the predictive shielding index and calculating and outputting a link comprehensive efficiency score in combination with the operation cost data; and the predictive switching decision and execution module is used for responding to the switching condition and switching the service data flow from the currently activated link to the inactivated link with the highest link comprehensive performance score. According to the method, communication interruption is avoided by actively predicting switching, expensive links are used as required, a multi-target model is adopted, the cost is reduced, and the method can flexibly adapt to service requirements.

The invention discloses a judicial data security sharing and tracing method based on a block chain technology, and the method comprises the following steps: S1, initializing a block chain network, generating a node reputation value, and binding an identity label; s2, constructing a double-chain structure, storing the encrypted data, recording an access behavior, and establishing a cross-chain index mapping relationship; s3, extracting identity information of an access subject, executing attribute encryption, writing in a data link, and synchronizing a cross-chain index; s4, after an access request is received, permission verification is completed through the smart contract, and a behavior record abstract is generated; s5, binding the behavior abstract and judicial data through a cross-chain index, and recording the behavior abstract and the judicial data to a behavior chain to form a complete on-chain behavior record; s6, calling a zero-knowledge cross-chain protocol to verify data consistency, and completing document transmission according to a joint permission strategy; and S7, tracking all access records through a behavior chain, wherein the whole transmission process is traceable. According to the invention, safe sharing of judicial data, authority control and behavior tracing are realized.

The invention relates to an optical data network (10-1) for connecting a plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). The optical data network (10-1) comprises: i) the plurality of data network nodes (N1-1, N2-1, N3-1, N4-1), the data (99) comprising data packets (99p), wherein each data network node (N1-1, N2-1, N3-1, N4-1) is provided with a network interface (Nl); and ii) a data connection network (100-1) comprising at least one data switch (SW) and a plurality of optical connections (50) for allowing establishment of data links (DL1, DL2) between pairs of said plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). At least one of the at least one data switch (SW) is a smart data switch (SSW) comprising at least one packet switch (PS, EPS) and at least one circuit switch (CS, OCS), At least two network interfaces are smart network interfaces (SN, SNC) comprising a data classifier (25) configured for classifying the data packets (99p) into at least two traffic classes including first traffic class (D1) and a second traffic class (D2) in accordance with a classification scheme. The smart data switch (SSW) and the network interfaces (SN, SNC) are configured to route the data packets (99p) of the first traffic class (D1) to the packet switch (PS, EPS) and to route the data packets (99p) of the second traffic class (D2) to the circuit switch (CS, OCS).

The invention relates to the technical field of unmanned aerial vehicle cooperative control, and discloses a multi-unmanned aerial vehicle cooperative control method based on data link networking. The method comprises the following steps of: constructing a cluster collaborative task data set comprising a flight path feature, a load state feature and a communication link feature; extracting dynamic cooperative nodes, including a cluster formation form switching node and a task target switching node, from the cluster formation form switching node and the task target switching node; generating a track cooperative trigger signal based on the dynamic cooperative node, and identifying a local topology adjustment node triggered by the formation form switching and a global topology reconstruction node triggered by the task target switching; generating a cooperative offset parameter containing a track offset and a communication delay offset according to the node classification; extracting cluster collaboration protocol parameters based on the collaboration offset parameters; and controlling the unmanned aerial vehicle cluster to execute a cooperative flight task according to the protocol parameters. The method can improve the cooperative efficiency and task adaptability of the unmanned aerial vehicle group in a dynamic environment, and is suitable for various multi-vehicle cooperative operation scenes.

The invention relates to the technical field of intelligent manufacturing and block chains, in particular to a production process traceability method of a hub type transmission device, which comprises the following steps: acquiring three types of operation data and aggregating to generate a synchronous value, calculating a parameter rate to judge whether the parameter rate exceeds a limit and extract a sudden change section, comparing a trend with a threshold value and reconstructing into a clamping state node, and packaging the signature and broadcasting to generate a verification node, and analyzing the node to supplement a link to generate right confirmation data. According to the method, parameter synchronism is calculated and recognized through the offset rate, the linkage analysis capability among multi-dimensional data is improved, accurate recognition of a sudden change section is achieved through comparison of continuous period parameter variation difference and double threshold values, and abnormal fragments are effectively extracted and an independent structure is formed by combining trend consistency and pressure difference value judgment; a signature and broadcast mechanism ensures the consistency of node data, link comparison and breakpoint reconstruction maintain the integrity of a data link, and the anomaly recognition precision, the node credibility and the production data closed-loop management capability are enhanced.

The invention belongs to the radar heat dissipation technical field and discloses a laser radar heat dissipation system comprising a dust acquisition module which determines whether to adjust the initial fan rotation speed of a radiator according to dust influence parameters; the first adjusting module compares the dust influence parameter with historical data, determines a rotating speed contrast according to a comparison result, determines a rotating speed adjusting factor according to the historical data when the rotating speed contrast is greater than or equal to a rotating speed contrast threshold value, and determines a rotating speed adjusting factor when the rotating speed contrast is smaller than the rotating speed contrast threshold value; determining a rotating speed regulation factor through a rotating speed prediction model; the temperature processing module determines an interference mark of each real-time temperature value on the temperature interference data link based on a standard heat dissipation value of the radiator; and the second adjusting module determines a heat dissipation output value of the laser radar surface based on the heat dissipation type and the heat dissipation area, and determines a target fan rotating speed of the radiator according to the adjusting coefficient. Dust and the environment temperature are treated, and the initial fan rotating speed of the radiator is effectively adjusted.

The invention discloses a performance test method and device of a storage device, an electronic device and a storage medium, and relates to the technical field of data storage, and the performance test method comprises the steps of controlling the storage device to execute data operation in response to test input; wherein the data operation comprises read operation and / or write operation; in the process of executing the data operation by the storage device, obtaining performance data of the storage device through the performance test model; wherein the performance data comprises performance data of a data link of the storage device and performance data of the storage controller, the storage controller is electrically connected with the storage device through the data link, the data link is used for transmitting data between the storage controller and the storage device, and the performance test model comprises at least one performance monitoring tool. The at least one performance monitoring tool is used for performing performance monitoring on the data link and the storage controller; and generating a performance test report of the storage device according to the performance data. The technical effect of improving the performance test efficiency of the storage device can be achieved.

The invention provides a method and system for automatically generating software codes, and the method comprises the steps: setting a menu table, a field table and an inter-table crossing relation, the menu table comprises column title content, module title content and module table name content, a plurality of column titles in the column title content are classified into one group and correspond to one module title, and the module title content corresponds to the module title; the module titles are in one-to-one correspondence with the module table names; the field table has user-defined field content and module table name content, and the user-defined field corresponds to a module table name; the inter-table crossing relationship is used for realizing crossing of the menu table and the field table; importing the menu table and the field table into an English-Chinese dictionary, performing statement decomposition, decomposing statements in the menu table and the field table into words and graphic icons, and realizing crossing of the menu table and the field table; and the data link model automatically generates codes according to the imported module menu and field paraphrasing. The invention also provides a system for realizing the method. The development efficiency can be improved, the error rate can be reduced, and the labor cost can be saved.

The invention relates to the field of software development application data processing, and discloses a software development application data processing method based on an AI large model, which comprises the following steps: deploying an anomaly detection model in a data access layer, and carrying out dynamic anomaly detection and real-time cleaning on software development application data, based on historical security event feedback, optimizing the scoring model and grading the software development application data; anti-association desensitization training is carried out on the software development application data, homomorphic encryption is carried out, association attack simulation testing is carried out regularly, and parameters are adjusted; carrying out distributed management on the key, and carrying out audit tracking based on a block chain; accessing a regulation database based on a dynamic compliance engine, analyzing a regulation to generate a rule base, deploying check points in a data key link for real-time detection and blocking, and performing secure erasure verification; dynamic scheduling resources are predicted in combination with a large model, and the cost is monitored in real time through a monitoring system; nodes are deployed on multiple platforms, an aggregation parameter updating model is encrypted, and vulnerabilities are scanned regularly.

The invention relates to a spray scrubbing tower with a built-in intelligent backwashing function, and aims to improve the industrial waste gas treatment efficiency and reduce the equipment maintenance cost, the spray scrubbing tower comprises a monitoring module, a control module, an execution module, an adjustment module and an analysis module, all the modules are connected with one another through data links to form a closed-loop control system, and the monitoring module is connected with the control module. Compared with the prior art, manual intervention is remarkably reduced, the cleaning efficiency is improved, the use amount of a backwashing medium is reduced, and the device has good economic benefits and environmental adaptability and is suitable for various industrial waste gas treatment occasions.

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.