53 results about "Industrial network" patented technology

The application provides an industrial 5G network rate test method and device, electronic equipment and storage medium, and relates to the technical field of mobile communication. The method deploys two kinds of industrial 5G network systems based on indoor base stations and outdoor base stations respectively, establishes a network connection between a first communication device and a second communication device under the industrial 5G network system, and performs network rate test of the industrial 5G network. Before performing the network rate test, the performance parameters of the first communication device are obtained to screen each first communication device in the access network coverage range, so as to screen out a target first communication device with better performance for network rate test, so that the reliability of the obtained network test result is higher and more persuasive. And based on the real-time performance of the first communication device, the target first communication device screened out can maintain the best at the current time, so as to ensure the accuracy of the network rate test result at each moment.

This invention relates to the field of Internet of Things (IoT) technology, providing a large-scale IoT system, method, and medium for remote firmware updates of sensors. The system includes a sensor management platform configured to: determine multiple sensor update groups based on data characteristics of multiple sensors and their geographical locations within an industrial grid area; determine the update priority of each sensor update group based on its task and transmission characteristics; determine update parameters for the multiple sensor update groups based on update priority, firmware characteristics, and channel state distribution; and generate update instructions and firmware update packages based on the update parameters, and control multiple sensors in the multiple sensor update groups to perform firmware updates. The method can be executed after being read from computer instructions stored on a computer-readable storage medium. This invention enables secure, reliable, and continuous large-scale sensor firmware upgrades under complex industrial network conditions.

The application discloses a kind of control system cloud edge commissioning methods based on industrial network, comprising: using the large bandwidth of 5G network, low latency and network slice capacity, unified management in cloud multiple control system commissioning tasks;Each physical control system is registered to cloud by the unique device identification that it is independently generated in its built-in lightweight debugging agent module;Planning debugging channel, allow multiple low-priority control system to share channel to improve resource efficiency, high real-time control system then monopolizes channel to guarantee performance;All commissioning data carry device identification transmission, each control system built-in debugging agent module strictly checks device identification, only handles the instruction that matches this system, realizes the on-demand acquisition of multiple control system state information, accurate distribution and collaborative diagnosis, significantly improve the concurrency capability of remote debugging, resource utilization and system reliability.And adapt to the remote maintenance, efficient commissioning and real-time response demand under the multi-device collaborative scenario in industrial automation.

The present application relates to a data transmission method, apparatus and system, an industrial device, a controller, and a storage medium. The method comprises: a target industrial device receiving a first Ethernet frame sent by a first industrial device in an industrial network, the first Ethernet frame carrying a first check value; generating a second check value on the basis of the first Ethernet frame; and when a check error occurs in the first Ethernet frame, determining an error type of the first Ethernet frame on the basis of the first check value and the second check value, the error type comprising a forwarding error or a receiving error. By means of the method, error diagnosis requirements of the industrial network can be met, and flexibility of error diagnosis during data transmission is improved.

The present application belongs to the technical field of jig management, and provides a self-adaptive communication protocol system and implementation method for industrial jig management, which comprises: a control box in communication connection with a jig and sensing components and / or executing components; a server in communication with the control box through an industrial network, for real-name data acquisition, permission closed-loop management, parameter change audit traceability. The communication message adopts a structured frame structure, including a frame start identifier, protocol negotiation information, a message identifier, a function code, an operator identity field, field description information, a variable-length service data payload, network address information, an integrity check field, and a frame end identifier. The function code uniquely indicates a service domain and a service operation type; the payload contains a self-description field. The server maintains a function code register and a field template, the field template defines a field identifier, a field type, a length rule, and optional attributes; the control box frames and sends according to the field template, and the server parses and returns a response message. The present application can solve the problems of data fragmentation, difficulty in real-time tracing, extensive permission control, and non-transparent parameter change in industrial field jig management.

The application discloses a three-level coordinated production line body intelligent control method and system, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: establishing a global task planning layer, performing semantic analysis and logical disintegration at a first preset frequency, and generating an atomic action sequence; establishing a local space perception layer, receiving the atomic action sequence at a second preset frequency, constructing a dynamic local map by using sensor data, determining a workpiece pose by point cloud registration, and mapping the atomic action sequence into a continuous motion trajectory flow; establishing a real-time action execution layer, receiving an instantaneous target pose at a third preset frequency, calculating a theoretical driving torque by combining a Lagrange dynamics equation, switching to an impedance control mode at a contact moment, and driving an execution mechanism to complete work; and establishing an asynchronous coordination layer, realizing three-layer asynchronous communication through an industrial network, and controlling the three-layer frequencies to be distributed in a ladder type in an increasing manner. The application has the effects of improving the flexibility, precision and safety of a production line.

An Ethernet Advanced Physical Layer (Ethernet-APL) bridge system between an edge field device and an industrial network. The bridge system includes at least one Ethernet-APL switch and a plurality of redundant physical Ethernet-APL 10BaseT1L ports coupled to the at least one switch providing improved load distribution and high availability.

This invention discloses an industrial network security risk assessment method, belonging to the field of network security assessment technology. The method includes: acquiring standard traffic data and preset threat label data of an industrial wireless network; extracting traffic feature sets; obtaining feature cluster grouping datasets through distributed clustering across multiple working servers; selecting key feature datasets by combining threat labels; obtaining the optimal feature dataset through dimensionality reduction using an autoencoder and inputting it into a traffic detection model to obtain detection results; conducting risk assessment based on the results to obtain quantitative values; and determining the optimal combination of defense strategies accordingly. By using distributed clustering to process traffic features, combining threat labels to filter key information, and optimizing through dimensionality reduction using an autoencoder, the method dynamically quantifies risks and matches the optimal defense strategy based on anomaly detection results, thereby achieving accurate risk assessment and adaptive defense of industrial wireless networks and improving the operational security of industrial wireless networks.

The application discloses a kind of intelligent calcium silicate board production management systems, adopt four-layer architecture of edge layer, infrastructure layer, basic ability layer and application management layer, integrate production management, equipment management, energy management, four big modules of quality management, realize calcium silicate board from raw material preparation to finished product warehouse-out whole-process intelligent control by Internet of Things, edge computing, big data and AI algorithm. Edge layer real-time acquisition multi-process technology, equipment and environmental data and local preprocessing;Infrastructure layer provides distributed computing, hybrid storage and industrial network support;Basic ability layer completes data cleaning, fusion, intelligent analysis and opens standard interface;Application management layer realizes plan scheduling, equipment early warning, energy consumption optimization, quality full-link traceability.The application solves the problems of data island, equipment failure lag, energy waste, quality traceability difficulty and other problems in traditional production, significantly improves production efficiency, reduces energy consumption, stabilizes product quality, realizes multi-system cooperation and data unified management.

The application belongs to the technical field of personalized federated learning, and discloses an industrial control system intrusion detection method based on personalized federated learning. The method solves the problem of insufficient model generalization ability under Non-IID data, realizes the balance between local adaptability and global threat perception through similar client cooperative learning, and proposes a similarity calculation mechanism based on JS divergence to realize collaborative modeling between similar clients, thereby ensuring personalization and enhancing global knowledge sharing ability. An industrial network feature extraction tool is designed to support Session, Flow and Stream three-layer modeling, extract high semantic features of industrial protocols, and improve the quality of model training data. The tool has industrial protocol perception ability, can extract various high semantic features from various key industrial control protocols, effectively support the standardized conversion of multi-entity data sources, and enhance the representativeness and difference of model training data.

The application discloses an industrial control asset vulnerability detection method, device, storage medium and apparatus. Compared with the prior art of matching industrial control asset information with CVE information to determine industrial control asset vulnerabilities, the application obtains a candidate CVE information set, the candidate CVE information set is generated based on CVE information and industrial control asset information in an industrial control network, a model is trained according to the CVE information and the industrial control asset information, a target ranking model is obtained, CVE information in the candidate CVE information set is ranked according to the target ranking model, a target CVE information set is determined according to a ranking result, and industrial control asset vulnerability information in the industrial control network is determined according to the target CVE information set, so that the industrial control asset vulnerabilities in the industrial control network can be accurately identified, and the risk of an industrial network being attacked is reduced.

This invention discloses a control system and method for multi-robot flexible manufacturing. In this system, a central control system manages flexible manufacturing tasks; area controllers are deployed in the manufacturing unit to interface with equipment signals; and a robot cluster consists of several mobile robots connected via an industrial network, responsible for material handling operations. This invention achieves task load balancing among multiple robots, effectively avoiding situations where some robots are overworked while others are idle, improving the utilization rate of the entire robot cluster, enhancing system stability and continuity, optimizing workshop traffic efficiency, and employing an architecture combining a central control system and area controllers. When fluctuations occur in the central control network, the area controllers in the field can take over the anti-collision logic, ensuring the safety of the underlying equipment operation.

The application discloses a cabinet frame device and an installation method and an industrial network cabinet thereof, and relates to the technical field of cabinet frames.The cabinet frame device comprises a top frame, a middle frame and a bottom frame, the bottom frame is fixed to the lower end of the middle frame, the top frame is fixed to the upper end of the middle frame, and no gap exists at the connection between the top frame and the middle frame and at the connection between the bottom frame and the middle frame.The application has the advantages of simple and convenient processing, good structural stability and good sealing performance.

The application relates to the technical field of industrial cyber-physical systems and man-machine cooperation, and discloses a collaborative mechanical arm adaptive explanation method and device based on man-machine-environment risk field and physiological feedback, equipment and a medium. First, a Bayesian space-time graph convolution network is used to process operator bone sequence to predict the action trajectory; the electroencephalogram and eye movement signals of the operator are synchronously collected to calculate a behavior field coefficient; the mechanical arm kinetic field, the obstacle potential field and the above behavior field are combined to construct a "man-machine-environment" comprehensive risk field and calculate a criticality field strength. Based on the criticality, the system dynamically infers the attention level of the operator, adaptively configures explanation content including what, why and how to do and a pushing time, drives multimodal pushing of an audible and visual screen and mechanical arm obstacle avoidance intervention; the application breaks the "only physical distance theory" deadlock, effectively reduces alarm fatigue, and realizes high-safety, high-transparency dynamic man-machine cooperation.

This invention discloses a CAN smart gateway for heterogeneous industrial networks and its implementation method. The method includes: parsing the raw signal through a protocol stack; mapping the parsed data to a unified data model to obtain unified data, and performing cross-protocol signal consistency verification; determining the CAN identifier corresponding to the unified data and assembling it into a complete CAN FD frame; and sending the CAN FD frame to the CAN bus network through a CAN controller, adaptively adjusting the transmission time window occupied by different protocols. This invention, by parsing the raw signal of a heterogeneous industrial network through a protocol stack and mapping it to a unified data model, achieves unified expression and processing of multi-protocol data, improving the data fusion efficiency, real-time performance, and system stability between heterogeneous industrial networks and the CAN bus.

In one embodiment, a device associates available 5G functions with contextual information, wherein the contextual information maps each of the available 5G functions to a segment identifier of a security model topology for a segmented network within which that available 5G function is deployed. The device receives a request from a user equipment endpoint to communicate via the segmented network. The device selects a particular user plane function from among the available 5G functions for use by the user equipment endpoint based in part on the segment identifier of the security model topology mapped to the particular user plane function. The device causes the user equipment endpoint to communicate via the segmented network using the particular user plane function.

The present application discloses a cell searching method for industrial network, an industrial terminal and an industrial base station. The method includes: receiving data over radio interface corresponding to a search frequency point; parsing broadcast information in the data over radio interface to obtain cell channel information and whitelist information of a base station corresponding to the data over radio interface, where the whitelist information includes terminal information associated with the base station; and in response to that the terminal is successfully matched with the terminal information in the whitelist information, terminating cell searching and determining the cell channel information as a cell searching result.

This invention provides an automated control system for an automotive sheet metal thermoforming production line using a remote encoder module, relating to the field of industrial automation control technology. It includes a servo drive cabinet, distributed automated equipment, and a remote encoder position feedback system for realizing servo motor position feedback. The servo drive cabinet is centrally installed in a control room far from the production line, while the automated equipment is distributed across various workstations on the thermoforming production line. The distance between the servo drive cabinet and the servo motors in the automated equipment is no less than 30 meters. This invention uses a local encoder module to collect signals locally, processes the data in the digital domain, and transmits it through a robust industrial network, completely solving the signal degradation problem. The bit error rate remains below 100 meters, while avoiding faults such as bending fatigue and wire breakage in traditional solutions, thus improving system reliability and increasing equipment availability to over 99%.

This application provides a method and apparatus for training a diversity data aggregation model based on industrial network partitioning, relating to the field of computer technology. It enables model training by adjusting client partitions according to data diversity, thereby improving data security and robustness during model training. The method includes: partitioning multiple clients into industrial network regions based on client characteristics and robustness parameters of each client, obtaining client regions, each client region including at least one client; acquiring client data from each client region; training the model based on client data to obtain regional model parameters corresponding to each client region; aggregating the regional model parameters from each client region to obtain global model parameters; and updating the model parameters based on the global model parameters.

The application provides an industrial network abnormal behavior identification method, device, medium and product, relates to the technical field of industrial data processing, and is used for improving the efficiency and accuracy of abnormal behavior identification of an industrial control host. The method comprises the following steps: training a preset large language model based on first text information comprising structured text for indicating network traffic data and adding a behavior label, and second text information for indicating structured text about industrial control host log data, to obtain a target identification model for identifying whether the communication behavior of the industrial control host is abnormal. In this way, the target identification model trained based on the first text information and the second text information can analyze and identify the characteristics of new abnormal behaviors in real time, thereby improving the identification efficiency and accuracy of new abnormal behaviors.

A method for bootstrapping and / or onboarding a device into an industrial network is provided. In this method an bootstrapping and / or onboarding request is received from the device, aka pledge, comprising a membership token, that allows to proof the membership of the device to a device group by a zero-knowledge proof, and the membership token is verified by a manufacturer signing authority as trusted 3rd party using this zero-knowledge proof (ZKP).

1. The name of the design product: industrial safety comprehensive evaluation cabinet. 2. The use of the design product: for the centralized placement cabinet of industrial network integrated electronic equipment. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: front view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.

This application discloses an industrial ring network system for metal and non-metal mines, relating to the field of metal and non-metal mine network and security technology. It includes an industrial ring network core module, a surface ring network aggregation module, an underground ring network aggregation module, and a data center network module. The surface ring network aggregation module, underground ring network aggregation module, and data center network module are all connected to the industrial ring network core module. The technical solution of this application employs a ring network transmission redundancy architecture collaboratively constructed by the industrial ring network core module, surface ring network aggregation module, underground ring network aggregation module, and data center network module. This architecture can automatically switch to redundant backup transmission channels in the event of link or equipment failure, achieving rapid self-healing of network faults and ensuring continuous and stable transmission of mine data. This improves the resilience and business continuity of the metal and non-metal mine industrial network, providing reliable network support for the safe production and efficient operation of smart mines.

The application provides an industrial 5G network rate test method and device, electronic equipment and storage medium, and relates to the technical field of mobile communication. The method deploys an industrial 5G network architecture based on an indoor scene and an outdoor scene respectively. Based on the deployed network architecture, a communication connection between a first communication device and a second communication device for network testing is established, so that the network rate of the industrial 5G network is tested based on the network test interaction information between the first communication device and the second communication device. First, the present scheme solves the network test problem in the industrial 5G network scene. Before performing the network test, the network access position of the first communication device is set according to the preset network signal strength, so as to ensure the normal communication of the communication device and avoid the interference of the communication abnormality of the communication device on the test result.

The application relates to an industrial network protocol data packet capturing and analyzing method and system, and solves the technical problem that existing industrial protocol analyzing technology has poor adaptability to unknown, private or non-standard protocols. The method comprises the following steps: capturing and screening network data packets for protocol identification. If the protocol is a known protocol, a preset analyzer is called for analysis; if the protocol is an unknown protocol, a protocol feature vector of the unknown protocol is extracted, a candidate protocol and a confidence degree are obtained through neural mapping model reasoning, and whether interactive reasoning is started is dynamically judged according to the candidate protocol and the confidence degree and in combination with a structure matching degree of an existing analyzer, user feedback is obtained, a parameterized protocol template is calibrated, and an executable analysis rule is instantiated and generated, and finally a new analyzer is registered and used, so that adaptive learning and analysis are realized. The application has the following effects: through an adaptive learning mechanism, intelligent identification of unknown protocols, dynamic construction of an analyzer and self-expansion of a system are realized, and a paradigm upgrade from manual reverse analysis to self-evolution of a system is completed.

This invention relates to the field of industrial communication technology and provides a data transmission method for multi-redundant networks, comprising: constructing a basic topology network based on a master device and several slave devices; establishing connections with redundant ports of other devices through the redundant ports of the master device to form redundant links; when a device receives a real-time data packet, determining the target address of the identity identifier carried in the packet in the real-time data routing table; querying the status of the corresponding bit in the real-time data routing table according to the type, identity identifier, and packet sequence number of the real-time data packet, and performing a receive-allow or reject-forward operation; when a device receives a non-real-time data packet, querying the identity identifier and checksum stored in the non-real-time data routing table; and performing a receive-allow or reject-forward operation based on the matching of the query result with the information carried in the packet. This addresses the inherent limitations and core defects of existing industrial network topology construction methods and data transmission mechanisms.

A unified identity authentication and authorization method and system for an industrial network environment, relating to the field of digital information transmission, is disclosed. In this method, user permissions are initially limited to read-only mode. When a user submits a job request, a standard operation flowchart is retrieved based on the work order. By comparing the current physical state of the equipment with the preconditions of the nodes in the flowchart, the system determines the currently executable operation nodes. Subsequently, the system combines and encrypts the instruction information to be executed, the status conditions, and the session identifier to generate a single-use valid authorization credential. When the industrial control gateway receives an instruction request, it verifies the validity of the authorization credential and the conformity of the equipment status, temporarily opens the instruction writing channel, and immediately closes the channel and cancels the credential after the instruction is issued. This application aims to reduce the risk of disruption to normal industrial production caused by unauthorized account use or unintentional misuse by internal personnel at unnecessary times.

This invention belongs to the field of equipment heat dissipation technology, specifically relating to a heat dissipation system and method for industrial network security encryption equipment. It includes a heat dissipation duct and TEC cooling components and heat dissipation components deployed within the duct. This invention employs a synergistic design of TEC semiconductor active cooling technology and heat dissipation components. The cooling surface of the TEC cooling pad is in close contact with the GPU / CPU, directly and efficiently absorbing the large amount of heat generated by high-load computing. Combined with the increased heat dissipation area of ​​the serrated heat sink and the forced convection cooling of the fan unit, a complete heat dissipation chain of "active cooling - high-efficiency heat conduction - intelligent exhaust" is formed. Compared to traditional passive cooling or single-fan cooling, the heat dissipation capacity is significantly improved, fully meeting the heat dissipation requirements of high-performance GPUs / CPUs in modern industrial network security encryption equipment. This effectively prevents equipment downtime or operational failures due to high temperatures, ensuring the continuity and stability of encryption algorithm processing and real-time data stream transmission.