119 results about "Internet appliance" patented technology

The invention discloses a big data-based internet equipment fault prediction method, which comprises the following steps of: acquiring operation data, environment data and historical fault records of internet equipment, and performing data cleaning, normalization processing and feature fusion processing on the operation data, the environment data and the historical fault records to generate a training data set; substituting the training data set into an Internet equipment fault prediction model constructed based on an integrated learning algorithm for learning training; dynamic feature extraction is carried out on real-time data flow of the Internet equipment through a sliding window mechanism, fault prediction model parameters are updated in an incremental learning mode, and a fault risk prediction result about the Internet equipment is output online; and generating a graded early warning signal according to a prediction result, and linking the automatic operation and maintenance system to execute a predefined maintenance strategy. According to the method, through multi-source data fusion and efficient model training, sliding window incremental learning and an automatic operation and maintenance strategy are combined, and the dynamism, accuracy and reliability of Internet equipment fault prediction are achieved.

An apparatus for an Internet of Things device registry display includes a user input processing circuit structured to interpret one or more user input command values, an Internet of Things Universal Identification (IoT UID) identification circuit structured to determine one or more IoT UIDs, based at least in part on the one or more user input command values, a device lookup circuit structured to: generate a query that includes the one or more IoT UIDs, and retrieve device property data corresponding to the one or more IoT UIDs, a query provisioning circuit structured to transmit the query to an IoT device registrar server, a device property processing circuit structured to interpret the device property data generated by the IoT device registrar server in response to the query, and a display circuit structured to display the device property data with the corresponding one or more IoT UIDs.

Various aspects of the present disclosure relate to methods and apparatuses for ambient internet of things (A-IOT) device identifier (ID) reporting. According to an embodiment of the present disclosure, a network equipment (NE) can include: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the NE to: receive, from a core network (CN) entity, information associated with A-IOT device ID reporting for an inventory task; and transmit at least one A-IOT device ID to the CN entity based on the information associated with A-IOT device ID reporting.

The invention discloses an Internet of Things equipment fault prediction system based on big data analysis, and relates to the technical field of industrial Internet of Things equipment fault prediction, and the system comprises a multi-field collaborative perception dynamic data capture module which is used for constructing an operation mode-stress state mapping matrix based on Internet equipment historical data and a physical failure knowledge base, monitoring the working condition of the equipment in real time, dynamically identifying and entering a high-risk working condition window through a lightweight time sequence clustering algorithm, and when the high-risk window is identified; by constructing the operation mode-stress state mapping matrix and combining the lightweight time sequence clustering algorithm, the method can dynamically and accurately identify that the equipment enters the high-risk working condition window, can sense the possible risk of the equipment in advance, provides a powerful early-stage guarantee for subsequent fault prediction, and at the same time, improves the efficiency of fault prediction. And the high-dimensional original data set with the space-time alignment tag is output, so that the quality and availability of the data are ensured, and a rich and reliable data basis is provided for subsequent feature extraction and analysis.

The invention discloses an equipment state prediction method and device, equipment and a readable storage medium, and is applied to the technical field of internet equipment management, and the method comprises the steps: determining a feature vector corresponding to each type of equipment data based on a data modal characteristic and business demand coupling principle, and carrying out the alignment of each feature vector, and obtaining an equipment state feature vector; uploading the equipment state feature vector to a server, so that the server updates an equipment state prediction model by utilizing cross-equipment group knowledge on the premise of not sharing equipment data; predicting by utilizing a latest equipment state prediction model based on the equipment state feature vector, and determining an equipment abnormal state; the latest equipment state prediction model is a model for global updating and local incremental updating of the edge node based on the server. According to the method, the information of each mode is deeply associated, global updating and local incremental updating are carried out on the model based on the server, the latest model is used for prediction, and the accuracy of state prediction is remarkably improved.

Systems and techniques are provided for wireless communications. A process can include receiving first configuration information associated with transmission of carrier wave (CW) signals to an ambient Internet of Things (AIoT) device, wherein the first configuration information is indicative of a plurality of candidate frequencies. The process can include determining, based on second configuration information, that the network entity is a valid source for a current CW transmission occasion. The process can include transmitting, to the AIoT device, a first CW signal using a selected frequency of the plurality of candidate frequencies, wherein a transmission power for the first CW signal is based on the second configuration information.

Method, apparatus, and device for communicating with an extended range. The apparatus is a network apparatus communicating with an ambient internet of things device having an energy storage and capability to transmitting data by backscattering a radio transmission. The apparatus detects that the device has failed to transfer data by backscattering and responsively sends to the device a first radio transmission having instructions to decrease a radio reflection coefficient to increase wireless energy harvesting. The device decreases the radio reflection coefficient accordingly. The device detects sufficient wireless charging of its energy storage with the decreased radio reflection coefficient and increases the radio reflection coefficient accordingly.

Methods and apparatus are described for automatically discriminating authentic wireless Internet-of-Things (IoT) devices using a trained machine-learning module. In a training phase, the machine-learning module is trained to identify authentic IoT devices based on data in frame headers of wireless data emitted by the IoT devices. The trained machine-learning module may identify authentic IoT devices without analysing data from the payload of the frames to which the frames headers belong, and thus the privacy of data in the payload of the frame is not compromised and encryption of the payload data does not adversely affect performance of the trained machine-learning module in a subsequent production phase. Each training data sample may consist of header data from a sequence of successive frames of wireless data from authentic wireless IoT devices and, to enhance accuracy, may exclude address data.

The invention provides an intelligent analysis and processing method and system for industrial internet equipment data and a medium, and belongs to the technical field of equipment data analysis and processing.The method comprises the steps that a general data interface is defined to integrate a mainstream industrial communication protocol, and equipment data types are automatically matched based on an equipment template library and are matched with an optimal communication protocol for collection; constructing an industrial equipment knowledge graph and converting the extracted heterogeneous data into uniform features; cleaning and preprocessing the collected data to generate optimal processing parameters; analyzing the optimal processing parameters by using a meta-learning-based rapid adaptive large model, predicting the service life of the equipment, and performing equipment health assessment and equipment energy consumption analysis; and displaying the analysis result of the industrial equipment data by using a visual component. According to the invention, by integrating a general data interface, a data processing algorithm, a deep analysis model and a visual display component, efficient acquisition, accurate preprocessing, deep analysis and visual display of industrial equipment data are realized.

The invention relates to the technical field of Internet equipment data monitoring, and particularly discloses a state monitoring method and system for industrial Internet equipment and a storage medium, and the method comprises the steps: analyzing the influence of operation data fluctuation on the data loss degree based on a loss degree large signal, obtaining an operation data fluctuation value, comparing the operation data fluctuation value with a threshold value, and obtaining the state of the industrial Internet equipment. The method comprises the steps of generating an influence degree signal, obtaining a data operation stable value based on the influence degree signal, comparing the data operation stable value with a threshold value, analyzing a network equipment data operation stable state, generating a signal whether data operation is stable or not, and analyzing the influence of operation data fluctuation on the data loss degree. According to the method, the source of a potential problem causing data loss can be quickly identified, and after the source and the influence degree of the data loss problem are identified, the risk of data loss can be reduced and the integrity and availability of the data can be ensured by continuously monitoring the data operation stability.

The invention addresses the problem of activator-to-tag interference, or AT interference, when reading signals from ambient Internet-of-Things (IoT) devices, also known as ambient tags. A reader receives a reference signal from an activator and derives therefrom an activator-reader channel response (ACR). The ACR is used in determining a "combiner". Upon receipt of an activation signal from the activator, the tag sends a reply signal to the reader. However, when the reply signal is received at the reader, it suffers direct interference from the activation signal. The reader uses the combiner to isolate the transmitted tag signal from the activation signal interference. In an embodiment the reader is a multi-antenna reader and zero forcing is applied to find a combiner which orthogonalizes the activation and reply signals. In a preferred embodiment the reply signal is received at a later time than the reference signal, but the reader is nevertheless able to estimate the ACR at the time the reply signal is received, using a measured estimated Doppler shift.

The invention discloses a data center demand response method, system and equipment considering electric power-computing power-thermal power cooperation, and relates to the field of data center demand response. The method comprises the following steps: constructing an objective function and a constraint condition of a data center demand response considering electric power-computing power-thermal power collaboration, and forming a data center demand response model together; the target function takes the minimum total electricity price of the internet equipment and the cooling equipment in the scheduling period as a target; solving the demand response model of the data center according to the operation data of the scheduling period, and obtaining an electric power-computing power-heating power collaborative scheduling result of the scheduling period; the electric power-computing power-heating power collaborative scheduling result comprises the optimal load scheduling of each server in each scheduling time period, and the optimal on-off decision and the power demand of each server in each scheduling time period. According to the invention, collaborative optimization of the data center in the aspects of electric power, computing power and thermal power can be realized, the energy utilization efficiency of the data center is improved, and the operation cost is reduced.

Techniques for detecting anomalous behavior of an Internet-of-Things (IoT) device in an IoT network. IoT events of an IoT device are captured and analyzed to identify periodic activities of the IoT device. The periodic activities of the IoT device are tracked over time, and variations in the periodic activities are analyzed to assess potential threats to the IoT network.

An AI-assisted document organization system includes an internet equipment, an identification equipment, a processing unit which is matched and connected to the internet equipment and the identification equipment. The processing unit includes a central processor, an artificial intelligence software and a document organization software. The document organization software includes document organization goals which include automatic document classification and identification, artificial intelligent data extraction, automatic data verification, automatic approval verification, compliance and regulatory compliance, document tracking and control, automatic reporting, and notification. The central processor drives the artificial intelligence software. The processing unit acquires document data through the identification equipment. The artificial intelligence software reads the document data and, based on the document organization goals set by the document organization software, to search relevant information via the internet equipment and intelligently calculate the best organization solution for the obtained document data. The database stores the classified and organized document data.

Certain aspects of the present disclosure provide techniques for utilizing configured grant (CG) for ambient internet of things (IoT) devices. An example method, performed at a wireless device, generally includes receiving, from a network entity, configuration information indicating at least one configured resource for periodic reporting, and transmitting at least one report including device originated (DO) data using the configured resource.

The present invention discloses a multi-scenario adaptation method and system for industrial Internet of Things device interface resources. The method includes: detecting the status of the inserted board in the card slot through the ID bus and obtaining the parameter information of the inserted board. The type of the inserted board in the industrial Internet of Things device and the number of different types of boards in the current scenario are determined based on the devices connected to the industrial Internet of Things device in the current scenario; obtaining the driver program file of the inserted board based on the parameter information of the inserted board and performing driver configuration on the inserted board. The present invention effectively solves the problems of increased costs and wasted hardware resources caused by the mismatch of the hardware port type or quantity of industrial Internet of Things devices in different application scenarios in the prior art.

The utility model discloses an industrial internet large screen structure, and relates to the technical field of industrial internet equipment. The device comprises a bottom plate, the top of the bottom plate is fixedly connected with a supporting column, the top of the supporting column is fixedly connected with a rotating mechanism, the top of the rotating mechanism is fixedly connected with a mounting frame, the rear end of the top of the mounting frame is provided with an adjusting assembly, and one side of the adjusting assembly is fixedly connected with a display screen. The direction of the display screen can be adjusted through the rotating mechanism, after the motor is started, the output end of the motor drives the first gear to rotate, and the first gear is tightly meshed with the fluted disc fixed in the inner cavity of the rotating sleeve, so that the rotating sleeve is driven to stably rotate around the supporting column, and the mounting frame and the display screen are driven to rotate at multiple angles; by means of the design, the large screen can easily meet different watching requirements in a complex industrial environment, and the screen can be rapidly rotated to the optimal display direction in different operation areas of a large production workshop.

Various aspects of the present disclosure relate to methods and apparatuses for ambient internet of things (A-IOT) device identifier (ID) reporting. According to an embodiment of the present disclosure, a network equipment (NE) can include: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the NE to: transmit, to a core network (CN) entity, an A-IOT device identifier (ID) for verification, wherein the A-IOT device ID is received from of a UE during a random access procedure associated with an A-IOT device inventory for the UE;and receive, from the CN entity, a first indication indicating that the A-IOT device ID is valid, or indicating whether there is at least one subsequent command message for the UE following the A-IOT device inventory, or indicating that the A-IOT device ID is invalid.

A storage product manufactured as a standalone computer component and installed in a computing system to implement an internet application. The storage product includes a network interface, a host interface, computing circuits, and a local storage device having a storage capacity accessible via the network interface. A data generator is connected to the network interface. A local host system is connected to the host interface to control access, made via the network interface. The data generator can send bulk data to the network interface. The computing circuits can generate derived data from the bulk data and store the derived data and / or the bulk data in the local storage device. A central server and / or a user device can connect over internet via to the network interface of the storage product to access the derived data and / or the bulk data.

A method performed by a network node is provided. The method includes transmitting (408), to a first, ambient Internet of Things (loT), device, a first beam; and receiving (410) a first measurement of the first device on the first beam. The method further includes determining (412) whether the first device is trusted based on whether the first measurement is from a dominant beam based on whether at least a second device sent a second measurement by the second device of a same type as the first measurement that is within a specified range of the first measurement. The method further includes, when the first device is trusted, generating (414) a virtual networking stack for the first device hosted in the network node that emulates at least one of a physical device address and an IP address for the first device. Related methods and apparatus are also provided.

The invention discloses a task scheduling method and device for industrial internet equipment, equipment and a medium, and relates to the technical field of cloud computing, and the method comprises the steps: forming edge computing tasks into a corresponding target task set, and determining the task information of the edge computing tasks; target edge servers are determined, the target edge servers form a corresponding edge server set, and edge server information of the target edge servers is obtained; and constructing a nonlinear optimization model, and determining a task scheduling decision by using the nonlinear optimization model and a preset hybrid genetic taboo search algorithm, so as to process the edge calculation task according to the task scheduling decision by using the target edge server. According to the method and the device, the target task set and the edge server set are constructed, and the corresponding relationship between the edge computing tasks and the edge servers is determined by using the information of the target task set and the edge server set, so that the problem of low resource utilization rate caused by heterogeneity and dispersity of computing resources is solved.

Method, apparatus, and device for communicating with an extended range. The apparatus is a network apparatus communicating an ambient internet of things device having an energy storage and capability to transmitting data by backscattering a radio transmission. The apparatus detects that the device has failed to transfer data by the backscattering and responsively sends to the device a first radio transmission having instructions to decrease a radio reflection coefficient to increase wireless energy harvesting. The device decreases the radio reflection coefficient accordingly. The apparatus further sends to the device a second radio transmission having instructions to increase the radio reflection coefficient to decrease wireless energy harvesting. The device increases the radio reflection coefficient accordingly. The apparatus attempts to detect that the device has succeeded to transfer data by the backscattering.

The invention relates to the technical field of data processing, in particular to a predictive maintenance system for industrial internet equipment, which comprises a data acquisition module used for acquiring operation data of the industrial internet equipment through a plurality of sensors; the data processing module comprises a data conversion unit for converting the preprocessed operation data; the prediction module comprises a model training unit for training a machine learning model according to the feature data; the storage module is used for storing the operation data, the feature data, the prediction result and the maintenance plan; the alarm module is used for giving an alarm when the industrial internet equipment breaks down; and the control module is used for adjusting the acquisition frequency of the operation data when it is judged that the predicted maintenance stability does not meet the requirement according to the variance of the fluctuation amplitude of the surface temperature. The present invention achieves an improvement in the stability of predictive maintenance.

The application is suitable for the technical field of internet equipment, and provides an industrial internet equipment intelligent interconnection control method and system based on edge computing, acquires industrial internet equipment control basic information, and establishes an equipment basic information table through the basic information; collects own operation state parameters through the basic information table and sends the operation state parameters to an edge computing node to comprehensively judge the operation state of the internet equipment; if it is judged that the collaborative control requirement is met, the edge computing node selects a collaborative control strategy according to the judgment result, compares the equipment load with a load threshold value; when an equipment exception is detected, the control state and execution result during the exception period are synchronized to a cloud end management node, the control instruction transmission time delay and the occurrence probability of multi-equipment collaborative control conflict are effectively reduced, and the control real-time performance, stability and reliability of the industrial internet equipment in a complex operation environment are improved.

The invention relates to the technical field of Internet data processing, in particular to an industrial Internet equipment data extraction method and system, and the method comprises the steps: S1, analyzing multi-source equipment data through a full-protocol compatible layer, and outputting a standardized data stream through protocol analysis middleware and a data fusion mechanism; when the system is used, by seamlessly integrating industrial internet equipment with more than three hundreds of protocols, plug-and-play is realized, the cost of docking industrial data islands and systems is reduced, and by standardizing a data output uniform format, format fragmentation, semantic conflicts and time sequence chaos of original data are avoided, and a data circulation barrier between equipment is broken; a weak data mode is introduced through the edge computing terminal, data preprocessing, caching and mode optimization are completed, real-time screening, rapid positioning and target data extraction of high-throughput data are achieved, the rear-end computing pressure and the data integration cost are synchronously reduced, and the flexibility and efficiency of industrial data full-link processing are improved.

Embodiments of the present disclosure relate to method and apparatus for charging ambient internet of things devices. A first communication device may: determine whether to charge by receiving a signal from a second communication device; and in response to determining to charge, charge for a duration based on the received signal.

Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

Methods, a system, and apparatus for managing the separation and distribution of digital controls wherein the digital content in a network system includes receiving a request from any one of control devices, host server response to control device request (and output devices), host server may either non-discriminatively or discriminatively broadcast to any of the control devices, and control device handling responses throughout home network system. The methods, system, and computer readable medium include user experience optimized application types for (optimally) separating and distributing the associated control and associated status information elements during active sessions from the host server to the control devices and output devices within a network system. Configuring a control session comprises receiving a request to execute an input / output application from a control application executing on a mobile control device Configuring the control session also includes aggregating a plurality of real-world connectable processing nodes into an application session set of processing nodes by allocating at least one function required by the input / output application for execution on each processing node in the set of processing nodes, wherein the set of processing nodes is determined based on processing requirements of the input / output application.

Techniques are described with respect to a system, method, and computer program product for representing Internet-Of-Things (IOT) devices in a virtual environment. An associated method includes detecting a plurality of IOT devices associated with a physical space; extracting a plurality of IOT capabilities associated with the plurality of IOT devices; rendering a virtual IOT device based on the plurality of IOT capabilities; and visualizing the virtual IOT device within the virtual environment associated with the physical space.

The embodiment of the application relates to the technical field of industrial internet equipment management, and discloses an industrial equipment operation state monitoring system, method, device and storage medium, the system comprises an industrial gateway, a Kafka subsystem, a storage unit and a big data analysis modeling platform, wherein the industrial gateway obtains original operation data of industrial equipment, carries out data cleaning, obtains first operation data, and transmits the first operation data to a first message node of the Kafka subsystem; the first message node transmits the first operation data to the storage unit; the big data analysis modeling platform obtains the first operation data from the first message node to execute a data monitoring task, if the first operation data is abnormal, marks the first operation data to obtain second operation data and transmits the second operation data to a second message node of the Kafka subsystem; and the second message node transmits the second operation data to the storage unit. Through the above mode, the embodiment of the application realizes real-time monitoring of the operation state of the industrial equipment.