302 results about "Industrial communication" patented technology

The invention discloses an electrical equipment operation state monitoring method, system and terminal, full life cycle health management of equipment is realized through multi-dimensional perception and intelligent analysis, a composite sensor network can be constructed from the level of the method, and high-frequency current, ultrahigh frequency, fiber grating temperature vibration, multi-parameter gas and acoustic sensors are integrated. Electromagnetic characteristics, mechanical states, environmental parameters and voiceprint characteristics are covered; the adaptive signal processing technology performs classification and noise reduction on multi-source data, and the three-dimensional digital twin model realizes time-space fusion of a temperature field, a vibration field, an electric field and a sound field; a lightweight space-time convolutional network is deployed to fuse a time domain waveform, a spectrogram and spatial distribution characteristics for diagnosis, and a hidden semi-Markov model and a particle filter algorithm are combined to dynamically predict the residual service life of equipment. The system architecture comprises a self-organizing sensor network with edge computing capability, a time-sensitive industrial communication network and a containerized analysis engine, and supports mixed reality visual interaction.

The invention provides a cross-protocol identification data intelligent analysis middleware method and system. The method comprises the following steps: taking multiple industrial communication protocol identifiers in advance to form a metadata set, and constructing a protocol feature element model library containing a non-standard protocol feature template; a programmable logic device is introduced, physical layer signal waveform characteristics are matched, and corresponding communication protocol stacks are dynamically switched at a hardware level according to a matching result; receiving a communication data stream through an electric domain processing unit of the programmable logic device, and generating a protocol analysis logic sequence in combination with a state transition rule of the meta-model library and a mode matching rule of the protocol stack; performing combined operation on the structured feature template and the analysis logic sequence to generate an executable cross-protocol data analysis rule; and when unknown protocol characteristics are detected, triggering dynamic reconstruction of the template, so that the analysis rule is adapted to a newly added protocol. According to the technical scheme provided by the invention, the protocol compatibility development cost in an industrial multi-protocol scene is remarkably reduced.

The invention discloses an industrial communication protocol conversion system and conversion method. The method comprises the following steps: acquiring data of an industrial communication source protocol; protocol conversion: converting the source protocol data into target protocol data according to a sequence of protocol analysis, standardized modeling and protocol repackaging; according to protocol analysis, original data transmitted from different hardware interfaces are analyzed according to corresponding industrial protocols; the standardized modeling parses the data into a data model in a unified format; protocol repackaging: recoding the data model into a data frame conforming to a communication specification according to a target protocol rule; and data output: pushing the obtained target protocol data to a third-party server through an MQTT protocol or directly storing the target protocol data in a database for a third-party system to access. Through three core technologies of protocol analysis, unified data modeling and protocol packaging, lossless conversion among different industrial protocols is realized, and an efficient and reliable data communication infrastructure is provided for an industrial automation system.

The invention discloses an intelligent PCB sorting process and system based on an unmanned factory, and the process comprises the steps: obtaining surface images and internal structure parameters of PCBs in real time through an image collection module and a scanning module on sorting equipment, and generating a standardized feature data set; the lightweight classification model performs classification and quality grade division on the PCBs in combination with a process grade judgment rule, and dynamically allocates sorting priorities based on MES system order demands to generate a task queue; the path planning algorithm calculates the optimal grabbing path of the mechanical arm and the AGV conveying path according to the priority queue, and a sorting instruction set is formed and issued to the execution unit through the industrial communication network; the mechanical arm completes PCB grabbing and placing operation according to the instruction, and meanwhile, the visual verification module detects a sorting result in real time and outputs a sorting state report and quality data; according to the process, high efficiency, accuracy and unmanned operation of PCB sorting are realized through automatic data acquisition, intelligent classification decision and a closed-loop optimization mechanism.

The invention relates to the technical field of industrial communication networks, in particular to a method for quickly forwarding messages from a PCIE (Peripheral Component Interface Express) interface to a WIA (Wireless Interface Architecture) interface, which comprises the following steps of: simultaneously receiving PCIE messages and WIA-FA protocol messages through a hardware logic circuit; analyzing the message in a data link layer to obtain an analysis result comprising data load and address information; packaging the analysis result according to a pre-configuration rule to generate a data frame conforming to a target protocol; and constructing a sending descriptor for the generated data frame, and sending the data frame from a corresponding interface through a direct memory access mechanism. According to the method, parallel analysis and protocol conversion of messages are achieved through a hardware logic circuit, fast address conversion is achieved through a pre-configured address mapping table, and zero-copy data transmission is achieved through a direct memory access mechanism. According to the invention, software protocol stack processing is replaced by a hardware processing flow, so that communication delay and CPU resource consumption are effectively reduced.

The invention discloses a PON-based multi-protocol communication method and device, and the method comprises the steps: distributing a corresponding internal scheduling time slot to each network protocol processing unit for data uploading to each network protocol processing unit when a data processing module detects that the network protocol processing units connected with each field bus device have to-be-uploaded service data; and when one internal scheduling time slot is used up, interrupting the uploading of the service data until the next internal scheduling time slot allocated to the internal scheduling time slot is recovered from interrupting the uploading of the data. And the PON module monitors a global scheduling time slot allocation instruction issued by the optical line terminal in real time, converts an uploaded data frame into an electric signal, transmits the electric signal to the optical module through an internal link, converts the electric signal into an optical signal through the optical module in an allocated global scheduling time slot, and uploads the optical signal to the optical line terminal through an optical distribution network. Real-time performance and orderliness of transmission of service data in multiple field bus devices in a PON network are achieved, the requirement of industrial communication for data transmission is met, and transmission resource distribution is optimized.

The invention discloses a secure real-time bus (SRB) test system, which relates to the field of industrial communication and is characterized in that a plurality of SRB chips in the system are connected through shielded twin wires. And data packets among the plurality of SRB chips are transmitted through the shielding twin-wire. A switch can obtain source communication addresses and target communication addresses of transmitted data packets corresponding to a plurality of SRB chips respectively and source communication addresses and target communication addresses of received data packets corresponding to a plurality of SRB chips respectively, and sends the source communication addresses and the target communication addresses to terminal equipment. And the terminal equipment determines transmission rates corresponding to the plurality of SRB chips and packet loss rates corresponding to the plurality of SRB chips based on the source communication addresses and the target communication addresses of the transmitted data packets corresponding to the plurality of SRB chips and the source communication addresses and the target communication addresses of the received data packets corresponding to the plurality of SRB chips. Therefore, the purpose of automatically testing the SRB chip is achieved.

The invention relates to the technical field of industrial communication protocol analysis, in particular to a protocol semantic matching analysis method based on reinforcement learning, and the method comprises the steps: constructing an industrial interaction environment containing industrial control equipment, a communication module and a protocol simulation assembly, defining a state space containing a flow attribute and a communication state, field processing, semantic annotation and dependency configuration related action space are carried out; calculating a reward value through a multi-level reward function of dynamic weight adjustment; based on the preprocessed multi-source protocol data set, adopting a Transform and graph neural network dual model to pre-train and generate a template library, and embedding an intelligent agent state processor; the intelligent agent updates the strategy after state processing, action distribution output by the strategy network, verification and execution of the action executor and interaction with the environment; and storing the interaction experience for iteration, and finally outputting protocol structure analysis, field classification and abnormity prompt information. According to the method, low-manual-dependence automatic analysis, unknown protocol self-adaptive adaptation and high-precision semantic matching can be realized.

The invention discloses a data intelligent processing method and device applied to an industrial communication intelligent platform, and the method comprises the steps: obtaining to-be-processed data corresponding to communication equipment, and determining a data calculation task through a preset heterogeneous calculation resource scheduling algorithm and the to-be-processed data; based on the data calculation task and all the to-be-processed data, generating a data time sequence corresponding to all the to-be-processed data, and based on the data calculation task and the data time sequence, executing data processing operation on all the to-be-processed data to obtain a data processing result; and analyzing the data processing result to obtain a data analysis result, generating a data optimization instruction corresponding to the communication equipment according to the data analysis result, and executing an optimization operation matched with the data optimization instruction on the communication equipment. Therefore, by implementing the method and the device, the intelligence and the efficiency of data processing can be improved, and the accuracy and the reliability of data processing can be improved.

The invention discloses a laser cladding parameter self-adaptive control method and system based on AI digital twinning, and aims to solve the problems that in the prior art, laser cladding process parameter control depends on artificial experience adjustment and is difficult to adapt to material characteristic fluctuation, complex path heat accumulation and the like, and the final forming quality is affected. The invention provides a laser cladding parameter autonomous optimization method fusing digital twinning and Bayesian optimization, and aims to realize adaptive control of laser cladding parameters in a cladding process through Gaussian process modeling and real-time data iteration. According to the method, a digital twin system comprising a physical layer, a digital twin layer and a communication layer is constructed. Real-time data interaction and control instruction issuing are carried out between the physical system and the digital twin system through industrial communication protocols such as OPC UA, and closed-loop control is formed. The method can remarkably improve the quality and consistency of the formed part, reduces manual intervention, shortens the process development period, and has wide application prospects.

The invention relates to the technical field of edge computing, in particular to an industrial control algorithm self-learning optimization system and method based on cloud-edge collaboration, and the system comprises a cloud platform at a cloud side, edge nodes at an edge side, and controlled industrial equipment at an equipment side. One cloud platform is used for receiving and managing a plurality of edge nodes; the cloud platform comprises an Internet of Things communication service module; an algorithm management service module; a distributed task scheduler; an edge node management service module; the edge node on the edge side comprises an industrial communication service module; and an algorithm service container. According to the invention, through a cloud-side cooperation mode, computing power resources of the cloud are utilized, autonomous learning training of a machine learning algorithm for industrial equipment optimization control is realized, and the machine learning algorithm can be automatically updated and deployed to the edge computing equipment, so that the industrial control algorithm can be autonomously optimized along with data accumulation, and the optimization efficiency is improved. And when the production working condition is greatly changed, timely training updating and deployment application of the algorithm can be realized.

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 industrial control, and discloses an industrial communication protocol adaptation method and system based on OpenHarmony. The method comprises the following steps: performing distributed soft bus deployment on a plurality of industrial devices in an industrial control network to obtain a distributed device connection architecture; carrying out multi-protocol adapter loading on the industrial automation runtime service of the distributed equipment connection architecture to obtain a multi-protocol runtime service instance; performing communication protocol identification and configuration on the plurality of industrial devices according to the multi-protocol runtime service instance to obtain standardized device data; and establishing a data transmission channel according to the standardized device data, and performing global state synchronization and cooperative control instruction distribution on the plurality of industrial devices to generate a distributed cooperative control network. The deployment and maintenance work of the industrial control system is simplified, the accuracy and consistency of system configuration are improved, the risk of manual configuration errors is reduced, and the development cost and maintenance complexity of industrial application are reduced.

The invention discloses an electric power SCADA message bus service method, system and device based on a distributed architecture and a medium, and belongs to the technical field of electric power system automation and industrial communication, and the method comprises the steps: collecting real-time operation data from an electric power device; a corresponding message theme is generated according to a data type and an area to which the data belongs, and a Broker node dynamically allocates a message routing path through a hash ring, so that a single-point bottleneck is avoided; carrying out distributed storage and synchronous processing on the collected message data; the SCADA application subscribes to message data according to a preset theme, executes monitoring, warning or analysis operation according to a theme type, and realizes parallel processing and load balancing through a partitioning mechanism; and monitoring the state of each Broker node through a periodic heartbeat mechanism. According to the invention, the unification of high throughput, low delay, strong consistency guarantee and elastic expandability is realized, and the data processing capability and the operation stability of the electric power SCADA system in a large-scale access scene are remarkably improved.

The invention discloses an industrial PLC (programmable logic controller) equipment data acquisition and intelligent monitoring method, which comprises the following steps: connecting multiple types of PLC equipment through a standardized industrial communication protocol to acquire original data, analyzing and converting through a point attribute configuration table, and combining with a dynamic dictionary mapping table to generate readable information. And the system is dynamically associated with a work order management system to realize production monitoring and analysis. A layered modular architecture is adopted, cross-platform deployment is supported, the efficiency, accuracy and intelligent level of data acquisition and monitoring are effectively improved, and the complex scene requirements of industrial production are met.

The invention relates to the technical field of industrial communication and Internet of Things, in particular to an IO-Link gateway system and method for heterogeneous protocol unification and edge enabling. Comprising a hardware layer, a protocol adaptation layer, a data processing layer, an intelligent computing layer and a communication interaction layer which are connected in sequence to achieve standardized conversion and edge intelligent processing of heterogeneous industrial data, and data time sequence consistency and system operation stability are guaranteed in the whole process. According to the invention, a plurality of heterogeneous industrial protocols are downwards and uniformly mapped to a technical path of an IO-Link international standard, and heterogeneous data are converted into a standard IO-Link object dictionary at a gateway level, so that field devices of different manufacturers and different protocols can carry out data interaction with a uniform and semantic-rich information model; therefore, plug-and-play of data is realized in the equipment access layer, and a solid foundation is laid for constructing an integrated industrial Internet of Things system.

The invention discloses a vehicle-mounted CAN bus anti-interference communication system and method based on photocoupling, and the system comprises an anti-interference communication system frame, the anti-interference communication system frame comprises a CAN bus receiving and transmitting module, a photocoupling isolation module, and a signal processing and separating module, the CAN bus receiving and transmitting module is used for receiving and transmitting CAN bus signals, and the photocoupling isolation module is used for receiving and transmitting the CAN bus signals. The photoelectric coupling isolation module is used for realizing transparent conversion of data between an optical signal and an electric signal and realizing electrical isolation of a physical layer while maintaining the integrity of a CAN protocol, and the signal processing and separation module is used for constructing a cooperative processing mechanism of time sequence calibration, differential judgment, logic reconstruction and signal synthesis. According to the invention, based on a physical layer signal isolation mechanism of optoelectronic isolation, a bidirectional independent transmission path of a CAN bus TXD / RXD channel data stream is established, and TXD mapping data and CAN bus effective data in an RXD channel are accurately separated, so that the system reliability in an industrial-grade communication scene can be obviously improved.

The invention belongs to the technical field of industrial communication, and discloses a Modbus-RTU-based multi-device cooperation method, device, equipment and medium, and the method comprises the steps: uniformly configuring the initial addresses of a plurality of slave devices as the end edge value of the Modbus-RTU address range; the host device issues public information to the plurality of slave devices through the broadcast address; when any slave device detects a trigger event, switching the slave address to a preset report address, and generating request data containing a device identifier; the upper computer receives and processes the request data from the preset report address, and sends a reset instruction to the slave address after processing is completed; and the slave equipment executes overtime standby, screen locking triggering and unlocking interaction operation according to the received overtime parameters and the security credentials, so that multi-equipment cooperation is realized. According to the method, the communication process is optimized through a dynamic address management mechanism, so that the defects of traditional manual configuration are avoided, and the deployment flexibility of an industrial communication system is improved.

The invention belongs to the technical field of airplane digital assembly, and provides a dynamic and static decoupling labeling data acquisition method for an airplane docking process. According to the method, firstly, an OPC UA protocol unified access layer is constructed based on a KEPServer industrial communication platform, various industrial protocols are compatible, and real-time data convergence and time synchronization of heterogeneous equipment such as a laser tracker, a force sensor and an actuator are achieved; secondly, multi-level structured labels are injected into the original collection data flow through a Telegraf data agent, multivariate data such as assembly process procedure numbers, equipment identity labels and measurement types are associated, and traceable data units with unified labels are formed; and finally, implementing a dynamic-static layered acquisition strategy based on data timeliness characteristics, and performing layered acquisition on dynamic data and static data to form a dynamic and static layered and process-traceable standardized data stream. The method has high engineering practical application value in the technical field of airplane digital assembly.

The invention provides an autonomous swing arm cooperative control method applied to an underwater dam body inspection robot, the inspection robot is equipped with a swing arm, an underwater propeller, a track moving mechanism and a multi-sensor system, and the method comprises the following steps: sensing and judging whether the inspection robot is stuck or not through multiple sensors in real time, and identifying the type of the inspection robot; calling a corresponding strategy from a cooperative control strategy set pre-trained by reinforcement learning based on the identified types such as sludge clamping stagnation, flexible winding or rigid obstacle; according to the strategy, expected parameters for controlling cooperative movement of a swing arm, a propeller and a crawler belt are directly generated and converted into specific driving signals, all executing mechanisms are driven to act cooperatively through an industrial communication protocol, and autonomous escape is achieved; through a sensing-decision-execution closed loop, self-adaptive cooperative control of multiple mechanisms in a complex underwater environment is realized, and the escape efficiency, the operation stability and the overall autonomy of the inspection robot are remarkably improved.

The invention discloses an industrial multi-protocol communication gateway adaptive adaptation method and system, and relates to the technical field of industrial communication, and the method comprises the following steps: deploying a communication performance collection engine and a physical environment collection engine on a system in parallel, capturing a key performance index KPIs in real time, capturing a physical layer signal reflecting an electromagnetic activity state in a case, and transmitting the physical layer signal to a server; generating a real-time data stream with a timestamp; according to the method, a communication performance acquisition engine and a physical environment acquisition engine are deployed in parallel, key performance indexes KPIs are acquired, physical layer signals are captured, and a multi-dimensional associated communication-electromagnetic combined baseline model is established to sense the dynamic electromagnetic environment in the baseline model; a hidden fault of inter-symbol interference (ISI) caused by internal electromagnetic coupling can be accurately identified and quantified, a communication logic error and a physical layer electromagnetic phenomenon are accurately associated on a timeline, and accurate positioning of an interference source is realized.

The invention relates to the technical field of industrial communication, in particular to a Modbus credibility enhancement method based on a national cryptographic algorithm, which comprises the following steps: S1, a client sends identity authentication message information including a time factor, a random number, a client public key and an abstract to a server to complete public key exchange, identity authentication is carried out on the two communication parties through a transmission session identifier; s2, the client sends a key negotiation message to the server, and generates an exclusive key of the session after receiving a server key parameter returned after the server successfully verifies the key negotiation message; s3, key verification is carried out between the client and the server; and S4, the client encrypts a Modbus credible message carrying a time factor, a random number and a Modbus command through the exclusive key of the session, and then sends the Modbus credible message to the server, and the server analyzes and replies the Modbus credible message. According to the method, an identity verification process is added, so that other PLCs are prevented from being operated by mistake in a PLC login scene, and the replay resistance and tamper resistance of the message are ensured through a time factor, a random number and an abstract.

The invention relates to the technical field of intelligent power grid monitoring, and discloses a power grid monitoring bionic robot intelligent decision-making method supporting rule self-learning, and the method comprises the following steps: S1, sensing and fusing multi-source heterogeneous data; s2, dynamic rule self-evolution and knowledge modeling are carried out; and S3, multi-mode collaborative decision and closed-loop control are carried out. Through a visual acquisition unit, a voice interaction unit and a plurality of industrial communication protocols, such as OPCUA, Modbus TCP and the like, multi-source heterogeneous data such as meter reading, indicator lamp state, mechanical part displacement, monitor voice instructions, equipment operation noise and the like of power grid equipment are comprehensively acquired, cross-system association is established by taking equipment codes as main keys through processing such as wavelet denoising, semantic coding conversion and the like, and multi-source heterogeneous data of the power grid equipment is acquired. A unified data integration view is constructed, and the problem that data acquisition is limited in a traditional monitoring mode is solved.

The embodiment of the invention provides a data collection method and system, electronic equipment and a storage medium, and is applied to the technical field of industrial communication. According to the data acquisition method and system, the electronic equipment and the storage medium provided by the embodiment of the invention, the register objects with the same acquisition period, the same slave station ID, the same function code and continuous register addresses are aggregated in the same second register aggregation group, and the data request frame is generated for the same second register aggregation group; the register objects in the second register aggregation group can share one data request frame. Compared with the prior art in which each register object generates an independent data request frame, the data acquisition method and device have the advantages that the number of the data request frames can be obviously reduced, so that excessive system resources are prevented from being occupied, and the data acquisition efficiency is further improved.

The invention discloses an underground engineering seepage control method based on multi-target rainfall scheme optimization and rolling scheduling, and belongs to the field of underground engineering and geotechnical construction informatization. According to the method, a two-stage integrated solution is provided, in the design stage, based on a seepage-stress coupling simulation model, a multi-target optimization algorithm is adopted, structural deformation minimization and engineering cost minimization serve as targets, a Pareto non-inferior solution set of the number, the position and the depth of precipitation wells is solved, and a baseline scheme is determined; in the construction stage, on a fixed precipitation well network, based on real-time monitoring data, secondary optimization with safety margin maximization and engineering cost minimization as targets is carried out in a rolling time window, the target water pumping flow and the start-stop state of each well are dynamically solved, and the target water pumping flow and the start-stop state are issued to field equipment for execution through an industrial communication protocol in a closed loop mode. According to the method, a whole-process closed loop of the precipitation scheme from design optimization to construction self-adaptive regulation and control is realized.

The invention provides an EtherCAT message processing method and device, equipment, a medium and a product. Relates to the industrial communication field. The method comprises the following steps: receiving an Ethernet control automation technology EtherCAT message sent by master station equipment, wherein the EtherCAT message comprises at least one destination address; determining a target virtual slave station corresponding to at least one destination address in the plurality of virtual slave stations; and processing the EtherCAT message through the target virtual slave station. According to the method provided by the invention, a process of processing the data by the virtual slave station based on the EtherCAT protocol is provided, a unified message data processing framework is used, redundant development of the virtual slave station on the data processing process is reduced, and the maintainability and expansibility of the system are improved.

The invention discloses a simulation system for industrial control software testing, which relates to the technical field of industrial control software testing and comprises the steps of uniformly configuring testing tasks, scheduling testing processes, managing testing cases, constructing a programmable virtual industrial control environment, packaging an industrial communication protocol and providing a standardized interface. The problems of protocol difference and interface compatibility between different devices are solved; and defining and combining complex test scenes of multi-device collaborative logic, abnormal working conditions and network disturbance. Complete separation of real hardware equipment is realized, the construction cost and the maintenance complexity of a test environment are remarkably reduced, the coverage range and the authenticity of the test are improved, the stability and the fault-tolerant capability of control software under extreme conditions are verified, the whole scheme realizes configurable, quantifiable and repeatable test processes, and the test efficiency is improved. And powerful support is provided for high-efficiency and high-credibility verification of industrial control software.

The invention provides a mobile communication terminal testing device and a terminal testing method, and relates to the technical field of mobile communication testing. The device is composed of a test master control module, a multi-scene simulation module, a multi-dimensional test module, a terminal adaptation module, an automatic control module, a data acquisition and analysis module, a result output module and a calibration module. The multi-dimensional test module synchronously acquires radio frequency performance, communication quality, power consumption and stability indexes, and realizes efficient and accurate test of mobile communication terminals of different systems and different types in combination with automatic control and adaptive adaptation technologies. Practice verification shows that the test efficiency is improved by more than 60% compared with a traditional method, the radio frequency performance test precision reaches + / -0.1 dB, the communication quality test error is less than or equal to 2%, the method is adaptive to more than 95% of mobile communication terminals such as a smart phone, an Internet of Things terminal and an industrial communication terminal, and the test efficiency and the data reliability are remarkably improved.

The invention discloses 5g industrial communication wireless gateway equipment and method. The 5g industrial communication wireless gateway equipment comprises a gateway body, and a power interface, an SIM card interface and an Ethernet port are sequentially arranged on the front surface of the gateway body from left to right; the protection device comprises a protection seat, the front end of the protection seat is open, the gateway body is arranged on the inner side of the protection seat, the baffles are symmetrically arranged on the inner side face of the protection seat, the first rubber pads are arranged on the side surfaces of the baffles and can abut against the gateway body, and the reinforcing plate is rotationally arranged on the front surface of the protection seat. The through hole is formed in the reinforcing plate; the beneficial effects of the invention are that through the arrangement of the protection device, the damage of external collision to the gateway body can be effectively reduced, the anti-collision capability of the gateway equipment is improved, and the gateway equipment adapts to the complex environment of an industrial field; a 5g signal is received and enhanced through the directional antenna and the signal amplifier, so that the signal strength and the transmission efficiency can be effectively improved, and the influence of signal attenuation and interference on data communication is reduced.

The invention provides a real-time redundancy fault-tolerant communication system based on double RS-485 links, and belongs to the technical field of industrial communication and real-time control, the real-time redundancy fault-tolerant communication system comprises two electrically independent and logically cooperative RS-485 physical links, at least one master node and a plurality of slave nodes, the first RS-485 link is used for sending data frames to the slave nodes by the master node, and the second RS-485 link is used for sending data frames to the slave nodes by the slave nodes; the second RS-485 link is used for sending a feedback frame from the slave node to the master node, the slave node and the master node form a parallel or alternate pipelined communication relationship in time, the feedback frame comprises two timestamps, the first timestamp records the moment when the slave node receives the data frame, and the second timestamp records the moment when the slave node sends the feedback frame. The system is simple in structure, low in cost, high in real-time performance and high in reliability, is suitable for real-time systems of industrial control, robots, motion control and the like, and is a low-cost alternative scheme of the real-time Ethernet.