55 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.

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.

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 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.

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.

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.

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.

This invention discloses an internet asset management method, relating to the fields of device operation and maintenance and asset management. The method includes: acquiring policy information of each internet device and configuring topology nodes according to the policy information of each internet device; wherein, the topology nodes include device nodes that perform address port translation operations and asset nodes that provide external services; configuring topology edges according to the policy information of the device nodes; wherein, the topology edges include translation edges describing address port mapping relationships and attribution edges describing the subordinate relationships between device nodes and asset nodes; and generating an asset link topology through a graph database based on the device nodes, asset nodes, translation edges, and attribution edges. The technical solution of this invention not only realizes automated operation and maintenance of internet assets, improving the security and operational efficiency of internet assets, but also optimizes the network resource management process, ensuring the timeliness of internet asset management.

The application discloses a domain name resolution method suitable for mobile target defense, and comprises the following steps: 1) a domain name system continuous updating device random address flow; 2) an identity authentication-oriented key negotiation flow; 3) a network device identity authentication flow; 4) a network device random address obtaining flow of a communication opposite end device; and 5) a network communication flow. The method can realize convenient authentication and security protection of internet devices, and help to improve the security of next-generation internet devices on the basis of guaranteeing the security of the internet.

An apparatus and mechanism to manage multi-modal real-time or quasi real-time sessions such as voice, video, instant messaging, or web-conferencing across multiple devices through a simple subscription to a session management service. A user can subscribe to the service from many devices (e.g. mobile device, desk phone, personal computer, internet appliance, internet TV, communication terminal, etc.) and through the service seamlessly move sessions back and forth between subscribed devices. In a preferred embodiment, a user utilizes a “virtual slider” in a simple “two touch” procedure to effectuate the movement of a communication session from one device to another device via the service.

The application relates to the technical field of device access authentication, and particularly discloses an internet device access authentication method for network security, which comprises the following steps: step S1: obtaining the type of a device to be accessed, associating historical access data of the device and historical traffic data of devices of the same type, and establishing a device behavior baseline; step S2: comparing the difference between the current access location and time of the device and a historical distribution map in combination with the geographical location of an enterprise, calculating an access location deviation value and an access time deviation value; based on the historical traffic fluctuation law of similar devices, the current traffic is evaluated for deviation from the expected value, and a traffic deviation value is generated; and step S3: comprehensively calculating a comprehensive risk value from the three deviation values, and matching an authentication strategy according to the risk level; the application balances safety and efficiency by quantifying behavior anomalies, and is suitable for massive device scenarios such as the Internet of Things.

The invention discloses an industrial internet equipment operation state assessment method and system, and particularly relates to the field of operation state risk assessment, and the method comprises the steps: collecting operation state parameters in industrial equipment, marking the operation state parameters as operation state main variables, and recording the source equipment, the measurement interface, the sampling mode and the updating period of each operation state main variable; and for each running state main variable, extracting an external input environment variable which the running state main variable depends on, performing structure registration by taking the external input environment variable as a state perception dependency item, and uniformly identifying each state perception dependency item as an environment reference variable. By constructing a structure binding relationship between a running state main variable and an environment reference variable and forming a state structure binding chain graph, an evaluation system can identify whether a reference structure is wrongly inherited, drifted or replaced, so that the hidden judgment distortion problem caused by staggered layers of a semantic coordinate system is captured; the core defect that a traditional method still generates systematic risks under the condition that numerical values are normal is overcome.

The invention belongs to the technical field of industrial internet equipment anomaly detection, and particularly relates to an industrial internet equipment anomaly detection method and system, and the method comprises the steps: obtaining equipment data and corresponding power data of a plurality of pieces of industrial internet equipment of the same model in a first field; direct abnormal points in the data points are removed, and outlier data points are found out through an LOF algorithm in combination with a first coefficient; subtracting a first constant from a first coefficient of the industrial internet equipment to which the direct abnormal point and the outlier data point belong; and monitoring the output first coefficients of the plurality of pieces of industrial internet equipment with the same model in real time, and determining that the first industrial internet equipment is abnormal in the first field if the first industrial internet equipment of which the first coefficient is smaller than a first threshold value exists in the plurality of pieces of industrial internet equipment with the same model. The problem that in the prior art, in the time period of collecting the data set of the industrial internet equipment, manual anomaly detection of the industrial internet equipment is needed can be solved.

System and methods for external vulnerability scanning a network are described. When a user equipment is attached to a network, the network provides information about the user equipment to a lookup table. In some examples, the lookup table is maintained by a network, such as mobile network, that facilitates packet-based communications between the user equipment to devices on the Internet. A scanner that performs the external vulnerability scan is provided information stored in the lookup table. The scanner returns the results of the scan to the mobile network.

The present application relates to a kind of energy internet equipment failure prediction method, device and storage medium.The method comprises: deploying edge perception device to each type of equipment of energy internet terminal, and collecting multimodal real-time energy internet operation data;Using high-throughput Kalman filtering combined with ALBERT-based auto-encoding model to fuse the collected data, to handle the difference of different types of sensor reading parameters of different energy internet equipment;According to the data after fusion, obtain corresponding parameter vector, respectively input the parameter vector into different ALBERT model and a feedforward neural network, finally output fault identification vector through Softmax function, complete the failure prediction of energy internet equipment.The present application can provide real-time state, statistical information and historical detailed information of equipment, for abnormal equipment, can carry out online diagnosis early warning, cloud-edge collaboration, edge platform regulation.

The invention relates to an internet equipment control method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of calling a pre-trained reasoning model in response to a triggered interaction instruction; processing the interaction instruction through the reasoning model to obtain a reasoning result corresponding to the interaction instruction; wherein the reasoning result comprises operation information for executing a related operation action flow based on the interaction instruction; executing a corresponding operation process based on the operation information; or, the operation information is sent to the target internet equipment, so that the target internet equipment executes the corresponding operation process based on the operation information. By adopting the method, the convenience of controlling the internet equipment can be effectively improved, intelligent control is realized, the control experience of the user on the internet equipment is further effectively improved, and convenience is brought to the user.

The invention discloses an intelligent carton production management system and method, and relates to the technical field of packaging box production management, the system comprises a production management module, a tracking module, a recovery module and a data analysis module, the production management module is used for arranging a production plan according to an order after receiving the order; the tracking module is used for identifying a carton through Internet equipment and monitoring and collecting the position and state information of the carton in real time, and the output end of the tracking module is electrically connected with the input end of the recycling module; the recovery module is used for receiving a recovery request and arranging a recovery task, and the output end of the recovery module is electrically connected with the input end of the data analysis module; the data analysis module is used for storing and analyzing carton full life cycle data and optimizing a production plan and a recovery strategy; according to the intelligent carton production management system and method, full-process intelligent management of carton production, use and recovery is achieved, and the management efficiency is improved through model and formula optimization of all the modules.

The application discloses an industrial internet equipment data collection and dynamic control system, comprising an equipment data access unit, an edge collection control unit and a control strategy processing unit; the equipment data access unit is connected with sensors, actuators or controllers of field equipment and acquires equipment point data. The industrial internet equipment data collection and dynamic control system combines specific control actions with associated collection point groups, three-stage sampling, execution deviation attribution and subsequent collection strategies and control strategy correction, so that the data collection of the industrial internet equipment no longer depends on fixed point lists or ordinary periodic sampling. Therefore, the system can obtain data related to control conditions, execution feedback, process states and control results during the execution of control actions, and distinguish the sources of execution deviation based on the data, thereby providing adjustment basis for the collection configuration and control configuration of subsequent similar control actions.

The invention discloses a network security intelligent protection method and system based on endogenous security, and relates to the technical field of intelligent protection, and the main scheme is as follows: collecting network operation state data, user operation behavior data, network flow data, application program access data and network connection data of an endogenous security system of Internet equipment; and correspondingly calculating a network security risk value, a user operation behavior risk value, a network flow security risk value, an application program access risk value and a network connection performance risk value according to the data, further calculating a network security comprehensive value, comparing a preset threshold value to obtain a protection level, and implementing adaptive intelligent protection according to the protection level.

The invention is applicable to the field of technical improvement of internet equipment, and provides a four-port thousand-mega auto-negotiation optical port system based on an SGMII (Server Gateway Media Independent Interface), which takes NF5180 as a core exchange chip, a link is constructed by cascading two YT8614 interface expansion chips, a first-stage YT8614-0 is connected with an SGMII interface of the exchange chip, a secondary YT8614-1 optical port is connected with an external optical module and is set to be in an electric port following optical port mode, and the SGMII is connected with an optical port. And the electric ports of the two are coupled through a 0.1 mu F capacitor AC. The switching chip reads the identification code identification rate of the optical module equipment by means of the I2C bus, then the YT8614-1 is configured through the SMI bus, and automatic switching between gigabit and 100M of an optical port is realized by combining electric port auto-negotiation and SGMII one-way configuration, so that the hardware utilization rate and the system flexibility are improved, and the method is suitable for a multi-rate industrial scene.

This invention provides a position-dependent secure information transmission method based on visible polarized light interference, belonging to the field of internet device information transmission technology. It involves receiving incident spectra with different spectral characteristics at different locations; recording the correspondence between the incident spectrum and the received spectrum related to the receiving location; selecting an encoding method based on the correspondence, enabling authorized devices to successfully decode information transmitted through the selected encoding method, until the bit error rate of the 0 / 1 sequence received by unauthorized devices is maximized; and achieving secure directional information transmission based on the selected encoding method. This invention utilizes the fact that devices in different locations receive different light signals, increasing the difficulty for eavesdroppers and improving security. Through data analysis, a unique encoding method is designed, making it difficult for eavesdroppers to decode the correct information even if they receive the light signal.

The invention relates to the technical field of equipment access authentication, and particularly discloses an internet equipment access authentication method for network security, which comprises the following steps of: S1, acquiring the type of equipment to be accessed, associating historical access data of the equipment to be accessed with historical flow data of equipment of the same type, and establishing an equipment behavior baseline; s2, comparing the difference between the current access place and time of the equipment and the historical distribution map in combination with the geographic position of the enterprise, and calculating an access place deviation value and an access time deviation value; based on the historical flow fluctuation rule of the similar equipment, evaluating the deviation between the current flow and the expectation, and generating a flow deviation value; s3, calculating a comprehensive risk value by integrating the three deviation values, and matching an authentication strategy according to a risk level; balance between safety and efficiency is achieved by quantifying behavior abnormity, and the method is suitable for mass equipment scenes such as the Internet of Things.

The invention relates to a state monitoring method and device for industrial internet equipment, and discloses a system for rapidly processing and analyzing real-time operation data of industrial equipment through edge cloud and continuously monitoring the operation state of the industrial equipment, so that the operation pressure of a data processor can be relieved, and the abnormal state of the equipment can be timely and effectively monitored. The system is characterized by comprising industrial equipment, state monitoring equipment of industrial internet equipment, an edge cloud and a user terminal, and is characterized in that signal interaction is established between the industrial equipment and the state monitoring equipment of the industrial internet equipment, signal interaction is established between the state monitoring equipment of the industrial internet equipment and the edge cloud, and signal interaction is established between the edge cloud and the industrial equipment. Signal interaction is established between the state monitoring device of the industrial internet device and the user terminal, the industrial device sends a real-time operation data signal generated during operation to the state monitoring device of the industrial internet device, and the state monitoring device of the industrial internet device is composed of a data processor and a data memory.

This application provides an embodiment of a method, apparatus, computer-readable medium, and electronic device for intelligent management and remote operation and maintenance of industrial internet devices. The method includes: pre-deploying sensors in an industrial production environment to collect industrial data; acquiring the industrial data collected by the sensors in a sub-network constructed from multiple sensors, based on a preset IoT gateway; identifying data belonging to the operational dimension of the industrial data and determining the operating status of the industrial equipment; identifying data belonging to the product dimension of the industrial data and determining the product performance of the industrial product; and controlling the industrial equipment based on the operating status and the product performance. In this embodiment, by constructing a sub-network from pre-deployed sensors to collect industrial data, and analyzing the industrial data through product and operational dimensions, real-time control of the industrial equipment is achieved, improving the monitoring capabilities of the industrial equipment and the management efficiency of industrial production.

The invention discloses a network dynamic monitoring and self-adaptive adjustment method based on satellite internet equipment. The method comprises the following steps: S1, dynamic monitoring: acquiring network parameters in real time, calculating a final available bandwidth and dividing network levels; s2, intelligent retry: adjusting a retry interval based on a network level and a task priority, executing local data retransmission, identifying a failure reason and adjusting a strategy; s3, flow control: adjusting the size of the data packet according to the network level; s4, resource scheduling: switching a task mode in combination with a network level, and adjusting a data request path and a storage path; and S5, abnormal early warning: monitoring network state deterioration, triggering early warning and recording a fault log. Through cooperative adaptation of real-time sensing of the network state, dynamic optimization of the retry strategy, accurate flow control and intelligent resource scheduling, the stability and communication efficiency of data transmission are improved, and the communication reliability and resource utilization rate of the system are improved.

The invention discloses an industrial internet equipment communication method and device. The method comprises the following steps: acquiring communication state information of a plurality of industrial devices in a target area, the communication state information being used for determining communication performance among the plurality of industrial devices; the plurality of industrial devices are clustered by a first target to obtain a plurality of communication cooperation groups, and the first target includes that the communication performance among the industrial devices in each communication cooperation group is optimal; and obtaining a communication scheduling strategy of each communication cooperation group, and completing communication scheduling of the plurality of industrial devices in the target area according to the communication scheduling strategy through a pre-deployed edge computing node. The method provided by the invention at least solves the technical problem of low communication performance between industrial internet devices due to the adoption of a static or semi-static communication strategy in related technologies.

The utility model discloses an inclined automatic clamp, which belongs to the technical field of clamp instruments and comprises a circular bottom plate, a silica gel non-slip mat is fixedly connected to the bottom end of the circular bottom plate, a support frame is fixedly connected to the top end of the circular bottom plate, the support frame is wide at the lower part and narrow at the upper part and is in a cross shape, and a support rod is fixedly connected to the top end of the support frame. A connecting ball is fixedly connected to the top end of the supporting rod, a fixing block and a connecting block are arranged at the top end right in front of the circular bottom plate, connecting grooves are formed in the front sides and the rear sides of the fixing block and the connecting block correspondingly, the connecting ball is located in the connecting grooves and rotationally connected with the connecting grooves, and a threaded rod is rotationally connected to the center of the outer surface of the fixing block; the top end of the outer side of the threaded rod is fixedly connected with a rotating head, and the outer surface of the rotating head is fixedly connected with a plurality of anti-skid protruding blocks arranged in an annular array. Through the above technology, the problem that the inclination angle of Internet equipment cannot be adjusted at any time when the clamp is used for safety monitoring is solved.