190 results about "Device status" patented technology

This invention relates to the field of data information processing technology, and discloses an intelligent operation and maintenance method and system based on data assets. The method includes: collecting device status data through a distributed IoT sensor cluster; standardizing the raw data and optimizing the data transmission path based on a dynamic topology network; dynamically adjusting the data model structure according to real-time data streams; performing multi-dimensional detection based on user-configured data quality rules to generate a quality detection report; cleaning abnormal data in real time based on the detection results to generate an interactive decision view; predicting operation and maintenance risk events using a multi-algorithm fusion model; and dynamically adjusting the workflow task execution path according to the risk level. This method optimizes the data acquisition and transmission process, improves the real-time performance and accuracy of data quality monitoring, and enhances the intelligence of abnormal data processing and operation and maintenance risk prediction, making operation and maintenance management more flexible and efficient.

The application provides a multi-terminal interconnection method, system, electronic device and storage medium, priority of each wireless communication device is preset, and a role state containing independent, central and peripheral three states is initialized, a dynamic self-organizing mechanism taking priority as the only decision basis is constructed. When a first device in the independent state discovers a second device through a device discovery process, priority comparison is triggered: if the first device has higher priority, the first device is switched from the independent state to the central device state after actively establishing a connection, and the second device is assigned to enter the peripheral device state and stop the active device discovery process. The first device in the central device state continuously performs device discovery, actively discovers and connects all other devices with lower priority, and automatically constructs a star-shaped topology network with itself as the center. By completely giving the connection decision-making right to the high-priority device, the network topology from disorder to order is determined to converge.

The information processing method according to one embodiment of the present disclosure includes: classifying a log of a device into any one of a plurality of groups based on a device state representing a state of the device controlled according to a command included in a communication packet; a low-slow attack is detected for each of the plurality of groups on the basis of one or more logs classified into each group.

This invention relates to the field of industrial Internet of Things (IoT) technology, and more particularly to an interactive system for tracking and providing feedback on maintenance strategies and tasks. The system includes a data hub and fusion module, a health assessment and early warning module, a maintenance strategy intelligent generation module, a task tracking and execution feedback module, a feedback optimization and knowledge base module, and a visualization push module. By constructing a multi-module collaborative intelligent maintenance platform, this invention achieves closed-loop management of the entire process, including equipment status monitoring, health assessment, maintenance decision-making, task execution, and knowledge optimization. It solves the problems of traditional systems relying on fixed rules and lacking continuous improvement; it also addresses the issues of low information transmission efficiency and insufficient decision support, ultimately achieving comprehensive optimization of equipment reliability, maintenance costs, and operational management efficiency.

The device management method and system based on the production data operation platform provided in the application, in the technical solution represented in the disclosure, on the one hand, the method can call the number of production line devices in the production event description content set through AI thread number analysis, and the number of production line devices in the production event description content set can be intelligently determined by the calling thread, so that even if there are interference problems in the automatic production operation data to be improved for device state analysis, the accurate number of production line devices can be analyzed, thereby improving the completeness of the device resource occupation analysis. On the other hand, based on the production line device call number analysis information and the production line device state semantic analysis information, the accuracy of the description content can be analyzed, the production line device state semantics and the production line device call number are referred to when the accuracy is analyzed, and the credibility of the device resource occupation analysis for different semantic production line device states is improved.

This invention discloses a digital twin-driven multi-agent collaborative operation and maintenance method for optical transmission networks, belonging to the field of optical transmission network operation and maintenance control technology. The method collects optical network topology, device status, link performance, alarm information, and service bearer relationships; constructs a real-time mapped digital twin model and fault propagation graph; filters executable actions based on the service bearer constraint matrix; releases the action control token through a twin state difference gate; and has the action executed by the action agent and the verification agent perform multi-source verification and versioned write-back. This scheme can reduce the risk of mishandling and concurrent conflicts, and improve the reliability of fault location, automatic handling, and closed-loop verification.

The application discloses a link detection method and device, an electronic device and an operation and maintenance system. The method comprises the following steps: determining at least two first sub-domains in a network based on the device state of each device in the network, wherein each sub-domain comprises at least one device; issuing a first message to a near-field integrated server, wherein the first message carries the path identification related to each first sub-domain in the at least two first sub-domains; sending a detection packet to a first loop, wherein the first loop is connected based on the first message; and obtaining the monitoring result of the first loop based on the measurement result corresponding to the detection packet reported by the at least two first sub-domains.

The application discloses a device state analysis method and system based on DSL and dynamic compilation technology, wherein the method comprises the following steps: S1, importing a DSL file of device state parameters; S2, analyzing the DSL file through a T4 text template engine to dynamically generate C# intermediate code; S3, using a Roslyn compiler to dynamically compile to generate an assembly; S4, loading the assembly through reflection to receive a device state byte array data frame; S5, matching a structure type corresponding to the byte array to convert the byte array into a structure instance through memory mapping; S6, calling built-in or extended analysis methods through reflection to convert the structure into a general parameter class object; S7, outputting the instantiated object; and S8, transmitting, displaying or saving the device parameter instantiated object according to actual requirements. The application greatly shortens the analysis rule configuration time; and a new device protocol only needs to write a DSL file, without the need of redeploying the system; in addition, the application supports plug-in extension of custom analysis methods.

An electronic device, a device, a method, and a non-transitory program storage device for enabling automatic establishment of a secure audio / video data streaming connection are disclosed. For example, a first electronic device can enter a first state of a peer device advertising protocol, and then, based on a determination that the first electronic device meets a first set of device state criteria (e.g., including at least an orientation state criterion), the first electronic device can enter a second (e.g., enhanced) state of the peer device advertising protocol. In response to detecting the presence of a second electronic device in proximity thereto, the first electronic device connects to the second electronic device via a secure peer-to-peer connection protocol, and then can transmit one or more images captured by a first image capture device of the first electronic device to the second electronic device connected via a secure wireless peer-to-peer connection protocol.

The application relates to the technical field of network security, and discloses an Azure virtual desktop micro-isolation monitoring method and system based on a zero-trust architecture, which comprises the following steps: collecting and analyzing user operation logs in real time to construct a behavior baseline model and mode distribution; quantifying the operation deviation degree through behavior fluctuation analysis, identifying abnormalities and determining a risk level; detecting session environment threats in combination with device security data; generating a session credibility score and control instruction based on weighted analysis of user behavior and device state; dynamically adjusting access permissions according to the credibility score, and updating security policies in real time to adapt to environmental changes; continuously monitoring and cyclically executing abnormality analysis and permission adjustment to realize dynamic maintenance of system security. The method can effectively deal with internal behavior abnormalities and external threats, and improve the accuracy and real-time performance of overall security protection.

A device may receive a request for service requirements, and may determine network devices that satisfy the service requirements. The device may identify an unreachable network device from the network devices determined to satisfy the service requirements, and may deny the request based on the unreachable network device being unreachable. The device may receive a command to proceed with the request, and may create an orphan service instance for resources used by the unreachable network device and service instances for resources used by the remaining network devices. The device may associate a first device status with the orphan service instance, and may associate second device statuses with the service instances. The device may generate a service design based on the orphan service instance, the service instances, the first device status, and the second device statuses, and may utilize the service design to satisfy the service requirements.

The application discloses a brain-computer interface smart home multi-device cooperative control method and system, acquires user brain electrical signals and home device state data for synchronous fusion processing to generate a brain control intention parameter set; intention feature extraction and classification are performed according to the brain control intention parameter set to determine an intention level, fatigue perception intention intensity analysis is performed to generate a device activation coefficient, and an intention trigger mapping table is constructed; device coupling analysis is performed on the brain control intention parameter set to determine a cooperative weight, multi-device state dependent linkage characteristics are identified, the intention trigger mapping table is dynamically adjusted to generate linkage correction parameters; conflict constraints are identified according to the linkage correction parameters, irreversible operation intention review is performed to determine an executable instruction set, and a device execution sequence is generated; the intention trigger mapping table and the linkage correction parameters are fused to generate cooperative output parameters, execution priority weights are determined in combination with the conflict constraints, multi-device linkage instructions are output, and safe and orderly brain-computer interface multi-device cooperative control is realized.

This application discloses a multi-device collaborative warehouse scheduling method, system, and storage medium. The method includes: decomposing received warehouse tasks; dynamically generating an execution sequence based on the task type, real-time device status, and warehouse layout status; scheduling the execution sequence using a multi-level feedback queue mechanism based on the real-time device status and warehouse layout status to generate an initial scheduling strategy and distribute it to the corresponding execution entities for execution; when any execution entity experiences an anomaly, obtaining the current warehouse scenario status and dynamically adjusting the scheduling weights of each task type; calculating the priority of affected execution stages based on the scheduling weights; generating an updated scheduling strategy and distributing it for execution. This method improves the system's response capability to unexpected events such as device failures and congestion.

This disclosure describes, in part, context-based device arbitration techniques to select a voice-enabled device from multiple voice-enabled devices to provide a response to a command included in a speech utterance of a user. In some examples, the context-driven arbitration techniques may include determining a ranked list of voice-enabled devices that are ranked based on audio signal metric values for audio signals generated by each voice-enabled device, and iteratively moving through the list to determine, based on device states of the voice-enabled devices, whether one of the voice-enabled devices can perform an action responsive to the command. If the voice-enabled devices that detected the speech utterance are unable to perform the action responsive to the command, all other voice-enabled devices associated with an account may be analyzed to determine whether one of the other voice-enabled devices can perform the action responsive to the command in the speech utterance.

This application relates to a device management method, apparatus, device, and storage medium for Internet of Things (IoT) devices, and pertains to the field of IoT technology. The method includes: establishing a communication connection between a first device and a second device, the communication connection being established based on a target communication protocol and target data format negotiated and determined with the second device, wherein the second device and the first device are heterogeneous devices; receiving first status synchronization information sent by the second device through the communication connection; if the first status synchronization information includes anomaly indication information, performing fault detection on the second device based on the device status data of the second device contained in the first status synchronization information to determine the health status information of the second device; the anomaly indication information is used to instruct the second device to predict its own state anomaly; and synchronizing the health status information of the second device to a device management system, so that the device management system can manage the second device based on the health status information of the second device.

The application discloses a kind of based on Zigbee and UWB technology's substation mobile inspection equipment data acquisition method, system, equipment and storage medium, the method includes: by mobile acquisition terminal according to preset path executes cruise, and based on UWB technology real-time obtains the relative position information between the mobile acquisition terminal and equipment data acquisition node;Relative position information is based on cooperative positioning and wake-up processing to be executed, and wake-up determination result is obtained;In the case where wake-up determination result is to satisfy wake-up condition, equipment node wake-up and two-way security authentication are executed by Zigbee communication link;After authentication passes, equipment state data collected by equipment data acquisition node is obtained by Zigbee communication link, and equipment state data is uploaded to background monitoring center.The technical scheme can improve the automation level and data reliability of substation state monitoring.

The application relates to the technical field of storage device control, and particularly relates to an NVMe command issuing method and device based on AI natural language interaction and equipment, wherein a natural language instruction of a user is received, semantic understanding and command mapping are carried out by using a large language model integrated with an NVMe command knowledge base, a command frame conforming to an NVMe protocol is generated, then protocol compliance and device capability matching verification are carried out on the command frame, after the verification, protocol conversion and priority scheduling are carried out according to the command type, and the command frame is issued to an NVMe device through a PCIe bus, in the execution process or after the execution, a result returned by the device is received, the result is converted into readable feedback through a natural language generation accelerator, and the user can adjust command parameters based on the feedback in real time, so that a closed-loop interaction is formed. The application solves the technical problems of strong professional dependence, rigid interaction, high error rate and disconnection with a device state of the existing NVMe command issuing technology, and significantly improves operation efficiency and system reliability.

This application provides an automated scheduling and control optimization method and system for shuttle parking garages, relating to the field of shuttle parking garage scheduling and control technology. It receives operational information from equipment units and calibrates their operational status based on event reports. Simultaneously, between two event reports, it actively infers the estimated operational status of the equipment units based on the previously calibrated and updated status, current task instructions, and a preset kinematic model. Finally, based on the calibrated operational status and / or the estimated operational status, it adjusts the subsequent task allocation, path planning, and timing coordination planning of the equipment units. This effectively solves the problem in existing technologies where intermittent delays or data packet loss in local wireless communication links during high-load operation lead to a time difference between the equipment status information received by the central control system and the actual situation, resulting in suboptimal scheduling decisions, increased equipment idling, task conflicts, and even system "negative optimization."

Embodiments of the present application provide a device performance detection method, device, apparatus and storage medium, the method comprises obtaining device state information, initial process log information and initial thread log information, the device state information comprises identification information and performance anomaly type of a target application; the initial process log information is used for recording information of processes running in a target time period of a target device, and the information of each process recorded in the initial process log information comprises process identification information of the process; the initial thread log information is used for recording information of threads running in the target time period of the target device; a target process is determined from the processes running in the target time period according to the identification information of the target application and the initial process log information; thread log information of a target thread is determined according to the process identification information of the target process, a target event and the initial thread log information; and performance failure of the target device is determined according to the thread log information of the target thread.

This invention relates to the field of equipment monitoring technology and discloses a method and system for real-time monitoring of network device operating status based on multi-source log fusion. The method acquires multi-source log data from network devices and constructs a fusion window sample. Based on device state transition graph constraints, it performs latent state soft allocation and temporal smoothing correction. It then performs differentiated feature enhancement according to feature physical semantics and generates a global temporal context signal. Furthermore, it constructs a temporal decomposition convolutional neural network, extracts trend and impulse information through trend paths and impulse paths respectively, fuses the dual-path information using state transition memory gating vectors, and finally outputs the device status identification result through state probability-guided attention pooling and classification. This significantly improves the accuracy of real-time monitoring of network device operating status.

A processing apparatus 20 including a function for estimating a status of an electronic equipment 10 for executing an application. An acquisition unit 42 acquires a generated amount of power generated via the use of energy produced by operating the electronic equipment 10. An estimation unit 44 estimates the status of the electronic equipment 10 based on the generated amount of power acquired.

The application relates to a smart rail transit system multi-device association method, system, device and storage medium, the method comprising the following steps: S1, according to whether a device state is affected, an association quantity and association reference information, type classification is performed on a device association relationship, a metadata template under each type is constructed, and the metadata template is stored in a Key-Value in-memory database; S2, based on the metadata template, a device association relationship static model based on a functional requirement is constructed and data storage is performed; S3, device association relationship data is loaded from the Key-Value in-memory database, a device association relationship dynamic model is constructed, and dynamic attribute association is performed; S4, an observer for listening to a device state change event is created on the device, and the device association relationship is updated in real time according to a listening result. Compared with the prior art, the application has the advantages of high reliability, good real-time performance and high flexibility.

The present application relates to the technical field of information processing, and provides a method and apparatus for sensing an online / offline status of a device. The method comprises: on the basis of cached online / offline status information of each access device at a first moment, generating a first access device status compressed bitmap; acquiring cached online / offline status information of each access device at the current moment, and generating a second access device status compressed bitmap, wherein the first moment is earlier than the current moment by one device status scanning cycle; and by means of an XOR operation, comparing and analyzing the first access device status compressed bitmap and the second access device status compressed bitmap to obtain an online / offline status of each access device. By performing periodic scanning and comparing the first access device status compressed bitmap and the second access device status compressed bitmap, the volume of data analysis can be effectively reduced, thereby rapidly and accurately sensing changes in the online / offline statuses of access devices.

The present application relates to the technical field of equipment maintenance, and more particularly to an intelligent predictive equipment maintenance system, comprising a data acquisition module, a data processing module, a maintenance decision module, a maintenance execution module, a user interaction module and a closed-loop optimization module. The data acquisition module collects equipment operating parameters through the deployment of a sensor array to generate standardized data streams; the data processing module extracts time sequence features and performs state deduction through a virtual model to output fault analysis results; the maintenance decision module calls enterprise resource information for multi-objective optimization to generate a dynamic maintenance plan; the maintenance execution module assists in guiding the execution of maintenance through augmented reality and records data; the user interaction module dynamically displays equipment status and risk information; and the closed-loop optimization module updates model parameters based on feedback data. The system realizes predictive maintenance under data driving through module collaboration, effectively reduces unplanned downtime and resource waste, and improves fault diagnosis accuracy and operation and maintenance efficiency.

This invention discloses a task scheduling method, apparatus, terminal device, and storage medium for multi-scenario intelligent applications, belonging to the field of task scheduling technology. The method involves: acquiring data such as task load, device status, business indicators, node topology, and several tasks to be executed; calculating a system state vector, a scenario embedding vector, a resource constraint vector, and the similarity between the scenario embedding vector and each historical scenario embedding vector; determining optimal strategy parameters based on the similarity, historical strategy parameters, system state vector, resource constraint vector, and several tasks to be executed; and finally calculating a resource allocation share based on the optimal strategy parameters, system state vector, resource constraint vector, and tasks to be executed, and executing the corresponding tasks under the resource allocation share. By implementing this invention, the problem of resource allocation imbalance that exists in existing technologies that use fixed rules or fixed optimization strategies to allocate computing resources to tasks to be executed can be solved.

This disclosure presents a method and apparatus for adjusting device configuration based on Fibre Channel partition status information. One specific implementation of the method includes: acquiring user partition input information and user peer port input information; generating partition port query information and peer port query information; classifying the acquired partition device port identifier information set and switch peer port identifier information set into device statuses to obtain a port identifier classification information set; determining Fibre Channel partition status information; generating Fibre Channel partition alarm information; performing alarm root cause location on the historical partition status information set and port identifier classification information set to obtain alarm root cause information; and adjusting the device configuration. This implementation can improve the accuracy of Zone-level alarms for different securities business partitions, achieve real-time monitoring of the communication effectiveness of Fibre Channel partitions, improve the accuracy and efficiency of root cause location, improve the accuracy of adjustments, and enhance the security and stability of the device.