351 results about "Industrial communication" patented technology

The embodiment of the invention provides an industrial real-time data transmission guarantee method and system based on a TSN. The method is applied to the field of industrial communication and intelligent scheduling, and comprises the steps of obtaining industrial field network node information, completing TSN topology deployment and time synchronization, extracting communication characteristics and historical load data of various task flows, constructing a unified time sequence, and inputting a prediction model to generate a load prediction result. And in combination with task parameters, a scheduling strategy list and a prediction result, inputting a TSN digital twin network model to carry out analogue simulation, evaluating performance indexes under multiple strategies, selecting an optimal scheduling strategy and issuing the optimal scheduling strategy to TSN switching equipment, thereby realizing accurate scheduling control configuration of various task flows. According to the scheme, intelligent evaluation and automatic optimization issuing of the scheduling strategy are realized, the real-time performance and the deterministic communication capability of an industrial network are remarkably improved, the resource utilization efficiency and the adaptability of the scheduling decision are enhanced, and the key task flow is ensured to be reliably transmitted on time.

The invention relates to the technical field of automatic industrial control, and discloses an automatic industrial equipment plc data acquisition monitoring control method and system. The method comprises the following steps: receiving a multi-source PLC data stream, and processing the multi-source PLC data stream through a multi-modal data fusion model to generate an equipment health degree evaluation matrix; constructing a dynamic control strategy generation model, and outputting a multi-target optimization instruction set; simulating the interaction influence of the equipment group by utilizing a process chain collaborative constraint model, and optimizing real-time control parameters of an instruction set; parameters are adjusted in parallel through a distributed edge computing framework, and an equipment cooperative control signal is output to an industrial monitoring center. The system comprises a distributed data acquisition module, a multi-modal fusion calculation module, a dynamic strategy generation module, an edge cooperative control module and an industrial communication gateway. According to the invention, multi-source data can be efficiently processed, equipment health can be accurately evaluated, a control strategy is optimized, equipment collaboration is realized, and industrial production efficiency and energy utilization rate are improved.

The invention relates to the technical field of abnormal monitoring of water-turbine generator sets, in particular to an abnormal monitoring system and method for a water-turbine generator set, and the system comprises a sensor module, an edge computing node, a cloud analysis platform and a scheduling decision center. The edge computing node performs data preprocessing, the cloud analysis platform realizes accurate early warning by applying technologies such as multi-source data fusion, a dynamic early warning model library and adaptive threshold adjustment, the scheduling decision center optimizes scheduling decisions through a resource matching engine and an emergency plan generation module, and the industrial communication network guarantees reliable transmission of data. In addition, the system is also provided with a visual interaction interface and a state evaluation report generation module. According to the invention, comprehensive and accurate monitoring and intelligent early warning of the water-turbine generator set are realized, the fault processing efficiency is effectively improved, the probability of false alarm and missing alarm is reduced, resource allocation is optimized, the operation safety is enhanced, and a powerful guarantee is provided for stable operation of the water-turbine generator set.

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 a satellite flash connection intelligent switching decision-making system and method based on equipment state prediction, and particularly relates to the technical field of satellite flash connection. In order to solve the problem of star-flash network linkage failure caused by multi-mechanical-arm cooperative movement and electromagnetic disturbance coupling in an industrial cooperative robot system, a prediction model fusing space attitude cooperative change characteristics and transient electromagnetic disturbance amplitude gradient characteristics is constructed, and high-sensitivity recognition and risk early warning of the coupling state of a star-flash connection network are achieved. A communication channel and communication parameters are dynamically adjusted through a fuzzy logic decision mechanism, and link stability and interference robustness are effectively improved; and meanwhile, a model adaptive optimization mechanism driven by switching effect feedback is introduced, so that the prediction accuracy and the system self-evolution capability are remarkably improved, and the continuity, the safety and the high reliability of multi-node cooperation in an industrial communication scene are guaranteed.

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 an intelligent tunnel construction sewage treatment control system capable of realizing accurate dosing, and belongs to the technical field of automatic control. Comprising an information management computer, a data processing center, data acquisition equipment, data output equipment, an industrial communication network and execution equipment, the information management computer is connected with the data processing center, and the data processing center is respectively connected with the data acquisition equipment, the data output equipment and the execution equipment; a signal output end of the data acquisition equipment is connected with a data signal receiving end of the data processing center through an industrial communication network; and the data output equipment is connected with the output end of the data processing center through the industrial communication network. According to the intelligent tunnel construction sewage treatment control system capable of realizing accurate chemical adding, the problems of high impact load resistance, small chemical adding amount, high treatment efficiency and no need of excessive manpower participation are solved, and chemical waste is reduced.

The invention relates to the technical field of industrial wireless networks, in particular to an industrial wireless network security communication method based on a national cryptographic algorithm, which comprises the following steps that: identity authentication is required before equipment accesses the network, and gateway equipment and field equipment finish bidirectional identity authentication through the national cryptographic algorithm SM2. The secure communication method provided by the invention comprises three stages of identity authentication, key negotiation and data encryption and decryption, identity authentication is carried out by adopting a national cryptographic algorithm SM2, and transmitted data is encrypted and data integrity is verified by adopting a hash-based message authentication code SM3 (HMAC-SM3) and an SM4 block cipher algorithm (SM4). According to the secure communication method, how to save the storage space and the communication overhead of a WIA-FA network is considered, and meanwhile, a set of secure transmission protocol which is autonomously controllable on the industrial wireless network standard and the cryptographic algorithm is realized, so that the security, the reliability and the controllability in the industrial communication process are fundamentally guaranteed.

The invention discloses an industrial control network data monitoring system based on a cloud platform, and particularly relates to the technical field of industrial control network communication, comprising a data acquisition module for acquiring communication protocol data between an industrial control network and the cloud platform in real time to form a data set; the data analysis module analyzes the data set, calculates indexes such as network timeliness, throughput capacity and transmission efficiency, and generates a performance evaluation data set; the fuzzy reasoning module is used for deducing communication protocol performance based on the data set and dividing the communication protocol performance into high-class, medium-class and low-class; the feedback module sends corresponding signals according to protocol performance classification, and the adjusting module adjusts the size of a data monitoring window according to feedback signals; the method can be suitable for various industrial communication protocols, provides sufficient basis for whether the communication protocols need to be improved or not through a unified analysis mechanism, adapts to dynamic changes of an industrial network, achieves self-adaptive adjustment, and improves the stability and efficiency of the industrial control network.

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 task unloading and resource allocation collaborative optimization method for an industrial hybrid network, and belongs to the technical field of industrial communication networks. The method comprises the following steps of: firstly, acquiring multi-dimensional attributes of an industrial field terminal task and a network node state in all directions through intelligent super-sensitive sensing and quantum-level monitoring means; thirdly, constructing a dual-objective function joint optimization model dominated by task total execution time delay minimization and assisted by resource utilization rate maximization, integrating factors such as local queuing time delay and transmission and calculation time delay under the influence of a quantum state, and setting strict constraint conditions; then, an improved quantum heuristic distributed co-evolution algorithm is adopted for solving, and a fine operation and self-adaptive quantum dynamic parameter adjustment mechanism is designed to approach an optimal solution; and finally, allocating tasks and resources according to an optimization result, establishing a continuous monitoring system, and rapidly restarting an optimization process in case of an abnormality.

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 relates to the technical field of environment-friendly production equipment control, and discloses a multi-equipment cooperative dust removal control system for an environment-friendly production line. The system comprises a dust data acquisition module for acquiring and dividing operation data flow of production line equipment; the dust state reconstruction module is used for generating a dust and airflow distribution situation map; the dedusting efficiency evaluation module is associated with the situation map to determine a dedusting level; the regulation and control strategy generation module is used for matching control strategies; and the cooperative control unit performs bidirectional verification to generate a cooperative dust removal instruction. The system is also provided with an industrial communication gateway for realizing protocol interaction, an equipment linkage module for optimizing a dust removal process, an instruction issuing module for controlling equipment operation, and a data archiving module for storing data and generating a record chain. The system can comprehensively collect dust data, accurately evaluate the dust removal efficiency, efficiently cooperate with multi-equipment dust removal, improve the dust removal effect and management level of an environment-friendly production line and reduce energy consumption, and has a good application prospect.

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 test, and discloses a master-slave station simulation test system and method based on an MODBUS communication protocol, and the system comprises a software authorization module which is used for verifying a registration file and starting test software; the engineering project management module is used for establishing a corresponding project in test software according to engineering requirements of a user and selecting a communication type; the user management module is used for establishing, modifying and deleting a user account; the environment configuration module is used for configuring communication environment parameters according to the communication protocol type; the communication management module is used for receiving, reading, caching and writing data; the variable management module is used for configuring variable parameters and performing master-slave station simulation test according to the communication point position table; the test trend management module is used for rendering and drawing a variable change trend chart by utilizing matplotlib, the master station and the slave station are simulated for testing, MODBUS TCP and MODBUS RTU communication protocols are supported, and the test efficiency is improved.

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 present invention discloses a 5G-TSN industrial heterogeneous virtual network architecture and a fine-grained scheduling method for virtual resources, and relates to the field of industrial communications. NFV technology is used to virtualize the TSN intelligent gateway of the edge computing layer into a virtual machine with TSN functions; the SDN controller centrally controls the TSN intelligent gateway supporting SDN technology deployed at the edge computing layer, and combines with NFV technology to perform virtualized network modeling of the 5G-TSN industrial heterogeneous network from the perspective of resource scheduling, and schedules and manages network slices with different QoS belonging to different industrial applications. The present invention is oriented to the upper-layer dynamic application requirements of flexible manufacturing, takes into account the heterogeneous QoS requirements of on-site communication resources and data streams, introduces the age of information (AoI) as an indicator at the virtual level to characterize the information timeliness of 5G access network data transmission, and proposes a 5G-TSN industrial heterogeneous virtual network architecture and heterogeneous QoS mapping mechanism in combination with the characteristics of 5G data, which can realize fine-grained on-demand delivery of industrial multi-priority heterogeneous data streams.

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.