194 results about "Industrial Ethernet" patented technology

The invention discloses a charging pile liquid cooling module intelligent cooperative control system based on an industrial Ethernet, and relates to the technical field of liquid cooling control. The charging pile liquid cooling module intelligent cooperative control system based on the industrial Ethernet comprises a liquid cooling data acquisition and preprocessing unit used for acquiring and preprocessing liquid cooling cooperative operation data; the thermal load sensing and intelligent liquid cooling regulation and control unit is used for dividing independent cooling branches, evaluating the thermal load degree of each cooling branch, judging the real-time thermal load state and generating and executing a control instruction; the anomaly detection and cooling redundancy control unit is used for evaluating the thermal response deviation condition of a cooling branch and judging whether a double-ring redundancy pipeline is started or not; and the fault root cause judgment and recovery enhancement unit is used for evaluating the component fault risk degree in the abnormal branch and executing fault-tolerant control and branch recovery strategies. The problem that a whole set of liquid cooling system is shut down due to the fact that local fault tolerance cannot be achieved when a local branch breaks down in a traditional pipeline structure is solved.

The invention relates to the technical field of power electronics and power supply and distribution, and discloses a data center AC / DC power distribution system input and output voltage and current monitoring method, which comprises the following steps: deploying an intelligent sensing unit with edge computing capability at each monitoring node, sampling according to a basic frequency, and extracting effective values, harmonic distortion rates, differential change rates and other characteristics of voltage and current in real time; judging that the system is in a steady state, a quasi transient state or a strong transient state according to the multi-stage dynamic threshold value, and respectively executing feature abstract uploading, local high-frequency backtracking or collaborative full-waveform synchronous acquisition; and the central server classifies and stores the data, constructs a state evolution model, and dynamically optimizes threshold parameters. The system comprises an intelligent sensing unit, a central monitoring server and an industrial Ethernet link. According to the method, the steady-state data transmission quantity is remarkably reduced, transient details are completely captured, and adaptive adjustment of the monitoring sensitivity is realized.

The present application discloses an industrial Ethernet communication method and system, a network device, and a computer storage medium. The method comprises: receiving a PDO packet sent by an industrial master station or a previous industrial slave station, and determining whether to forward the PDO packet to a next industrial slave station; and when a frame processing unit receives the PDO packet returned from the next industrial slave station, or determines that the PDO packet is not forwarded to the next industrial slave station, and if it is determined, on the basis of a preset address mapping rule, that a read instruction is present in the PDO packet, responding to the read instruction to write read target data into a target position of the PDO packet, and then forwarding the PDO packet to the industrial master station or the previous industrial slave station.

The invention discloses a piece placing sequence mistake proofing device which comprises a multi-dimensional sensing module, an intelligent control module, a reconfigurable positioning module, an execution intervention module, a block chain tracing module and a man-machine interaction module, and all the modules communicate through an industrial Ethernet. The multi-dimensional sensing module and the intelligent control module adopt a time-sensitive network protocol to guarantee the certainty of data transmission, the multi-dimensional sensing module integrates an AI vision assembly, an ultrahigh frequency radio frequency identification read-write unit and a polarized light detection assembly, and parallel acquisition and cross validation of cutting piece multi-dimensional information are realized through a time sequence synchronous triggering mechanism. According to the method, a full-dimensional recognition system can be constructed through cooperation of multi-modal sensing fusion and an intelligent algorithm to avoid a single detection blind area, multi-variety production requirements are adapted by relying on AI incremental learning and rapid remodeling design, non-tampering tracing of quality data is realized in combination with a block chain technology, and the method is suitable for mass production. And meanwhile, reliable operation of the system is guaranteed through redundancy control and emergency design.

The invention discloses an industrial intelligent safety risk early warning and management and control platform, and relates to the technical field of industrial safety monitoring and management and control. The industrial intelligent security risk early warning and management and control platform comprises a full-scene perception layer, a data management layer, an intelligent risk identification layer, a hierarchical management and control layer and a global operation and maintenance layer, and each layer and an edge computing node construct a distributed data interaction network through an industrial Ethernet; the scene sensing layer is used for realizing all-region and all-time security data acquisition of industrial production and comprises a multi-mode sensing terminal array, an equipment protocol adaptation module, a personnel state monitoring unit and an acquisition scheduling module; according to the industrial intelligent safety risk early warning and management and control platform, through a multi-mode terminal array and a dynamic acquisition scheduling mechanism of a full-scene sensing layer, full-area and full-time-period automatic monitoring of industrial production is realized, dependence on manual inspection is thoroughly eliminated, the problems of low manual inspection efficiency and missing inspection of hidden risk points are effectively solved, and the industrial production safety risk early warning and management and control platform is suitable for popularization and application. And the monitoring coverage rate is improved to 100%.

The invention discloses a biogas energy comprehensive utilization efficiency optimization system and method based on the Internet of Things, and belongs to the technical field of industrial automation control and energy management, the system realizes intelligent management and optimal scheduling of the whole life cycle of biogas energy through a distributed multi-level calculation control architecture, and the core is a multi-agent cooperative control platform. Comprising a fermentation agent, a purification agent, a storage agent and a utilization agent, all the agents can independently execute local control tasks and can cooperatively work to achieve global optimization, an Internet of Things sensor is deployed in the system to collect operation state data, real-time data transmission is achieved through the industrial Ethernet, and the intelligent control system is established. The marginal intelligent control node carries out local preprocessing and real-time decision making, a self-adaptive control algorithm library is innovatively integrated, the optimal control algorithm is dynamically selected according to different process links, the biogas yield and quality are remarkably improved, and practical application shows that the biogas yield is improved by 15%-25%, and energy consumption is reduced by 10%-18%.

The invention relates to the technical field of coal mine dynamic mine pressure monitoring and intelligent early warning and prediction, and particularly discloses a coal mine dynamic mine pressure monitoring and intelligent early warning and prediction system, which comprises a monitoring terminal layer, which comprises a plurality of mine pressure monitoring sensors, and the mine pressure monitoring sensors are respectively arranged in different monitoring areas of an underground coal mine. The mine pressure parameter acquisition module is used for acquiring mine pressure parameters of a corresponding area in real time, and the mine pressure parameters comprise roof subsidence, support working resistance, coal seam stress and surrounding rock deformation; and the data transmission layer is connected with the monitoring terminal layer and comprises an underground ring network switch and a ground industrial Ethernet. According to the dynamic mine pressure monitoring and intelligent early warning prediction system for the coal mine, the data reliability is ensured in combination with sensor state monitoring, the mine pressure trend in the next 24 hours is accurately predicted by adopting an improved LSTM neural network and an AWA-GC optimization algorithm, and the system adapts to nonlinear changes under complex geological conditions.

The invention relates to the technical field of ultra-deep geological exploration engineering, and discloses an ultra-deep horizontal hole full-hole coring and trajectory cooperative control system, which integrates a high-precision sensor and professional monitoring equipment through a geological data acquisition module to construct a multi-dimensional data monitoring system; the geological data transmission module adopts a dual backup scheme of drill rod built-in optical fiber and mud pulse transmission, is connected with the geological data acquisition module and the geological data analysis module through an industrial Ethernet, is carried with a 5G industrial module, and supports remote data access and instruction interaction of each functional module; the geological data analysis module comprises a processing unit and an analysis unit, the processing unit preprocesses the acquired data, and the analysis unit extracts the preprocessed data to calculate a trajectory deviation value and a rock core recovery rate; and the decision feedback module sends out feedback processing according to the calculation results of the trajectory deviation value and the core recovery rate. The system solves the problem of insufficient accuracy of traditional track evaluation.

The invention relates to the technical field of material performance testing, and discloses a multi-parameter simulation salt spray environment test system and method, and the system comprises a multi-parameter cooperative control module, a bionic fog drop generation and salt spray adjustment module, an energy recovery and resource circulation module, a salt spray environment adaptive compensation module, and a test data intelligent analysis module. The modules are in closed-loop communication through an industrial Ethernet; the method comprises the steps of test preparation, model initialization, dynamic simulation and compensation, energy resource circulation and data processing ending, specifically, a salt mist concentration-temperature-humidity-wind speed coupling model is constructed, uniform salt mist is generated through bionic atomization and electrostatic adsorption, self-adaptive compensation is achieved in combination with partition sensing and corrosion current detection, and the salt mist concentration-temperature-humidity-wind speed coupling model is obtained. And heat is recovered, and condensate water and non-atomized saline water are recycled. The problems of multi-parameter coupling interference, resource waste and low data value in the prior art are solved, the simulation precision and the resource utilization rate are improved, and the method is suitable for multi-field material corrosion resistance testing.

The invention provides a micro-grid optical storage capacity optimal configuration method and system, and relates to the technical field of micro-grid optimization, and the method comprises the steps: setting a sectional capacity configuration parameter according to a load characteristic parameter and an energy access condition of a micro-grid; setting a first compensation correction value and a second compensation correction value based on impedance matching characteristics of the micro-grid and charge and discharge efficiency parameters of the energy storage unit; reversely analyzing the capacity optimization configuration parameter combination obtained through optimization into the sectional capacity configuration parameters; and collecting real-time monitoring data in real time through an industrial Ethernet, and performing dynamic refreshing and rolling optimization on a capacity optimization configuration parameter combination according to a preset power balance threshold value and an actual operation deviation of an optical storage cooperative configuration execution scheme. According to the invention, the technical problem of capacity redundancy or insufficiency caused by static and fixed configuration of the optical storage capacity of the micro-grid in the prior art is solved, and the configuration precision of the optical storage capacity of the micro-grid is improved.

The invention relates to the technical field of industrial automation control, and discloses a multi-station cooperative control method and system of a distributed PLC. The method comprises the steps that independent PLCs are arranged at feeding stations of an annular conveying line, and PLC control units are synchronously formed through an industrial Ethernet and a global clock; the order parameters and the target process information are written into a code carrier on the tray trolley through an RFID radio frequency read-write device, and the code carrier records the process progress, the detection result, the abnormal code and the beat deviation; when the code carrier enters each feeding station along with the tray trolley in sequence, the PLC control unit reads information, monitors the position of the trolley, executes a corresponding task and updates process information in real time; when the detection result is abnormal or the beat deviation exceeds a threshold value, the system triggers a beat adaptive algorithm to generate an optimization instruction set to guide the production beat adjustment; and the warehousing station combines the optimization instruction to execute finished product warehousing or repair processing. The automation level and the production efficiency of a production line are improved.

The invention discloses a battering ram multi-station online detection system and detection method, and belongs to the technical field of battering ram production detection. The system comprises a single-station basic detection unit, a multi-station traceability linkage core module, an abnormal conduction path analysis module and a self-adaptive threshold optimization module which interact through an industrial Ethernet, and is additionally provided with a key process multi-dimensional reinspection unit, a dynamic interference compensation module and the like. The method is based on the system, and detection is realized through station data acquisition and preprocessing, dynamic interference compensation, comprehensive quality evaluation, quantitative traceability, grading processing, threshold optimization and data storage. The core of the method is that a quality problem root station is accurately positioned through a quantitative model, an abnormal conduction path is traced, a detection threshold value is dynamically optimized in combination with traceability data, a'detection-traceability-optimization 'closed loop is formed, the problems that traditional manual traceability is low in precision, poor in efficiency and disjoint in traceability and detection are solved, the method is adaptive to a flexible production scene, resource waste is reduced, and production efficiency is improved. And the production quality and efficiency of the battering ram are improved.

The invention belongs to the technical field of communication, particularly relates to a self-adaptive connector communication system based on an industrial Ethernet, and aims to solve the problems of communication interruption and poor reliability caused by interface incompatibility, link configuration stiffness and environmental interference in an industrial field. The system comprises a self-adaptive physical interface module, a link state sensing module, a protocol stack dynamic reconstruction module, an environment interference compensation module and a central coordination controller, and automatic interface identification, link parameter dynamic adjustment and active interference compensation are realized through cooperation of multiple modules. According to the scheme, the communication reliability and the environmental adaptability are remarkably improved, millisecond-level interface switching and seamless redundancy switching are supported, and the high-reliability and low-delay communication requirements of industrial automation are met.

The invention discloses an intelligent terminal and manual cooperative scheduling device and method for an enterprise, and relates to the field of cooperative scheduling, a central processing unit comprises an ARMCortex-A78 processor, an FPGA task scheduling chip and a storage unit; the multi-mode interaction terminal is integrated with a touch display screen, a six-microphone array voice recognition module and an augmented reality projection module; the task data acquisition module is provided with an industrial Ethernet, a LoRaWAN wireless sensing interface and a video stream input interface; the manual intervention interface comprises a programmable key cluster, a foot switch and a biological feature recognition module; the communication module comprises a 5G industrial module and a Wi-Fi6 interface; the power supply management module supports wide voltage input and a hot plug back-up power supply; through industrial-grade hardware design, a millisecond-grade scheduling algorithm, a multi-mode cooperation mechanism and a predictive maintenance strategy, the production scheduling efficiency and the decision-making quality in a complex manufacturing environment are remarkably improved.

The invention provides a transformer fault diagnosis and operation and maintenance self-healing regulation and control system based on vibration voiceprint fusion, and the system comprises a vibration voiceprint dual-signal collection module, a signal preprocessing module, a vibration voiceprint fusion fault diagnosis module, an operation and maintenance self-healing regulation and control module, and a man-machine interaction and data management module. The modules realize data interaction and instruction transmission through an industrial Ethernet; according to the invention, vibration voiceprint dual-signal real-time acquisition and GPS synchronization are adopted to replace traditional regular oil sample analysis, sudden faults such as iron core loosening and partial discharge can be captured in time, and fault hiding and diffusion caused by a long detection period can be avoided; after noise reduction processing, a dynamic weighted fusion algorithm and a CNN-LSTM model are adopted, a fault feature database is combined, the fault recognition accuracy is remarkably improved, a microphone array and a sensor are matched for positioning, three-dimensional fault positioning is achieved, and the problems that a single signal is weak in interference resistance and mistaken and missed judgment is caused are solved; and a self-healing strategy library is built in, so that the regulation and control effect is fed back in real time.

The invention relates to the technical field of insulation rope detection, and discloses a high-precision measurement and surface defect identification insulation rope full-automatic detection system, which comprises a take-up and pay-off module, a laser measurement module, an AI visual detection module, a tension control module, a data transmission module and a data processing module, and is characterized in that the take-up and pay-off module comprises an active take-up and pay-off mechanism; the laser measuring module comprises a high-precision laser diameter measuring instrument; the AI visual detection module comprises a YOLOv8 visual detection system; the tension control module comprises a pneumatic tension controller; the data transmission module comprises an industrial Ethernet, and the data processing module comprises an industrial computer and professional data processing software. According to the full-automatic insulation rope detection system with high-precision measurement and surface defect identification, full-process automation of insulation rope detection is realized, and the problems of low efficiency, poor precision and high false alarm rate of traditional manual detection are solved.

Embodiments of the present application provide a data transmission method and device, a storage medium and a computer device, comprising: receiving industrial data streams uploaded by industrial equipment and video data streams uploaded by monitoring equipment in real time; converting the industrial data streams of the industrial Ethernet protocol into industrial conversion data streams of a specified protocol, and converting the video data streams of the Internet protocol into video conversion data streams of the specified protocol; performing clock synchronization on the industrial equipment and the monitoring equipment; assigning different transmission priorities to the industrial conversion data streams and the video conversion data streams; and based on a transmission cycle of the industrial conversion data streams specified by a gating list, controlling the industrial conversion data streams and the video conversion data streams to be transmitted according to the corresponding transmission priorities. Compared with the TSN scheduling mechanism, the embodiments can take into account both the industrial data and the video data, and avoid the final video content from being frozen and losing frames, in terms of the real-time and stability support for video data being relatively weak, resulting in the final video content being frozen and losing frames.

The charging system comprises a charging terminal and a charging host. The charging terminal comprises a charging circuit which is used for charging the electric vehicle; the IO module is connected with a sensor, and the sensor is used for collecting monitoring information of the charging terminal where the sensor is located. The charging host comprises a programmable logic controller (PLC) control module, and the PLC control module is used for obtaining the monitoring information of the charging terminal and adjusting the output current or power of the charging terminal according to the monitoring information. The charging terminal and the charging host are in communication connection through an industrial Ethernet EtherCAT. According to the charging system provided by the embodiment of the invention, the integration level and the control efficiency can be improved, the maintenance and upgrading operation is simplified, and the overall performance and adaptability are improved.

The invention relates to the technical field of industrial Ethernet, and particularly discloses an Ethernet-based intelligent electric meter data acquisition system, which abandons passive congestion monitoring, and actively calculates a predictive congestion level capable of pre-judging a congestion trend by analyzing a change speed and an acceleration of a network key index time sequence. And then, the system deeply fuses the prediction level and the task priority, and dynamically generates a dynamic scheduling table which allocates an exclusive uploading time slot and an adaptive sampling rate to each ammeter. And finally, the electric meters perform ordered peak shifting data uploading according to the dispatch table. According to the scheme, the synchronous and concurrent data flood flow is converted into the asynchronous time division data flow, so that the formation of a data acquisition storm is avoided fundamentally, and the acquisition integrity and timeliness of key data are ensured under high network pressure.

The invention relates to a ship operation and monitoring system integrated arrangement method and an operation table. The method comprises the following steps: determining the installation position of a camera, dividing a monitoring area, and centrally configuring a PLC control system and monitoring rear-end equipment on an operation platform; each monitoring area is provided with a signal switching module with a digital quantity and industrial Ethernet interface; the camera collects equipment operation pictures, and the state sensor collects operation parameters; after the switching module processes the information, a control signal is transmitted to the PLC control system, and a video instruction is transmitted to the hard disk video recorder NVR through the optical fiber transceiver and the industrial switch; and the PLC control system is combined with the picture and parameter regulation and control equipment, and the PLC control system and the monitoring rear-end equipment adopt double-path independent power supply. The operating platform comprises an operating system and a monitoring system, a frame body is arranged in the operating system, core equipment is arranged in a layered manner, and front-end equipment of the monitoring system is arranged corresponding to standby equipment; according to the method and the operating platform, space is saved, interference resistance is enhanced, power supply is reliable, regulation and control accuracy is improved, the method and the operating platform are adaptive to severe ship environments, and efficient and stable operation of equipment is guaranteed.

The application provides a numerical control EtherCAT master station bandwidth adaptive scheduling and link fault bypass control system and method, belongs to the numerical control system industrial Ethernet bus control technical field, and the system comprises a heterogeneous multi-core processor, a field programmable gate array, a local bus, a gigabit Ethernet physical layer unit and a storage unit; the heterogeneous multi-core processor contains a high-performance computing core and a low-power control core, is interconnected with the field programmable gate array through the local bus, and executes physically isolated task scheduling; the field programmable gate array solidifies message preprocessing filtering, message hardware shunting, bandwidth clipping and a multi-channel hardware bypass switch array module, each module is cascaded in cooperation according to a data flow direction, message hardware unloading, bandwidth dynamic adjustment and fault bypass topology reconstruction are realized. The application reduces bus cycle jitter, improves bandwidth utilization efficiency and link fault tolerance capability, and is suitable for high-end numerical control machine tool multi-axis linkage control scenes.

This application relates to an industrial Ethernet communication method, apparatus, computer device, and storage medium. The method includes: during aperiodic data interaction between the master station and the slave station, if physical frame loss occurs, retransmitting the interaction message to the target slave station where the physical frame loss occurred, and obtaining the cumulative number of times the interaction message is retransmitted; if the cumulative number reaches a preset threshold, obtaining the synchronization manager status of the target slave station; and based on the synchronization manager status, restoring communication between the master station and the target slave station. This method can solve the problem of protocol stack logic deadlock that may exist in current communication mechanisms.

The invention discloses a dust removal and air distribution control system and method based on a mathematical model, relates to the field of power failure prediction methods of power big data, and provides the following scheme that the dust removal and air distribution control system comprises a data acquisition unit, a mathematical model operation unit, a control decision unit, an execution unit and a feedback correction unit; the data acquisition unit is used for acquiring real-time environment parameters and equipment operation parameters in an industrial scene, and transmitting the acquired data to the mathematical model arithmetic unit through wireless transmission or an industrial Ethernet, and the transmission delay is less than or equal to 100ms. According to the invention, traditional control hysteresis is broken through, 'predictive 'accurate dust removal is realized, and the problem of scene adaptation is solved; meanwhile, self-adaptive regulation and control of multiple industrial scenes are achieved, the energy consumption optimization target can be fused, the win-win situation of efficient dust removal and low-consumption operation is achieved, long-term stability and reliability of the system are guaranteed by constructing a closed-loop optimization system, and the technology is high in expandability and adapts to future industrial intelligent upgrading.

A mediator comprises a mediator controller comprising an Industrial Ethernet protocol module, at least one Ethernet APL protocol module, and a translator module connected to the Industrial Ethernet protocol module and the at least one Ethernet APL protocol module. The Industrial Ethernet protocol module interprets Industrial Ethernet data provided via a first SPI interface and allocates Industrial Ethernet services. The at least one Ethernet APL protocol module interprets Ethernet APL data made available via a further SPI interface and allocates Ethernet APL services. The translator module connects the Industrial Ethernet services and the Ethernet APL services to one another and coordinates them in terms of time.

The application provides a PLC system communication method and system based on a DCS redundant network, relates to the technical field of industrial automation control system communication network integration, and comprises the following steps: network architecture reconstruction, direct access of a programmable logic controller (PLC) to a redundant industrial Ethernet of a distributed control system (DCS), and formation of a unified local area network; IP address planning, allocation of addresses of the same preset IP network segment to controllers of the DCS, PLCs, industrial personal computers and optional communication modules, and ensuring direct communication between devices; the application can save special communication modules and supporting equipment, reduce direct hardware cost, reduce cabinet space occupation and wiring cost by fully utilizing the existing redundant network infrastructure of the DCS; for a system containing multiple PLCs, the cost advantage is more obvious, no additional investment in redundant communication hardware is needed, and the overall investment is further reduced.

The utility model relates to the field of chlor-alkali enterprise monitoring, in particular to a chlor-alkali enterprise electrolysis boundary area data transmission device. The chlor-alkali enterprise electrolysis boundary area data transmission device comprises a control area and a third switch, the office area comprises a one-way physical isolator, a first database server and a second switch; the DCS equipment is in communication connection with the first database server through the third switch and the one-way physical isolator; the server area comprises a second database server and a first switch; the DCS equipment is in communication connection with the second database server through the third switch, the one-way physical isolator, the second switch and the first switch; the one-way physical isolator is only used for the DCS equipment to send data to the first database server and the second database server. By arranging the field detection instrument, the first data server and the one-way physical isolator, a traditional industrial Ethernet communication mode is changed, the cost is reduced, a large amount of wiring is not needed, and meanwhile the technical problem that isolation is inconvenient is solved.

The invention provides a real-time deviation correction execution device for intelligent pushing of a large-span steel beam. The real-time deviation correction execution device comprises a walking type pushing equipment assembly, a high-precision displacement sensor, a tilt angle sensor and a data acquisition unit. The walking type pushing equipment assembly and the high-performance hydraulic servo system are arranged on the pushing construction platform and are connected with the beam body through the self-adaptive pushing shoe; and the data acquisition unit is connected with each component in real time through an industrial Ethernet or a field bus, and uploads a signal to the central processing unit, so that the real-time deviation correction control in the beam body pushing process is realized. By arranging the walking type pushing equipment assembly, the self-adaptive pushing shoe and other components and through the matching relation between the walking type pushing equipment assembly and the self-adaptive pushing shoe, when the walking type pushing equipment assembly pushes the self-adaptive pushing shoe to move upwards, the self-adaptive pushing shoe automatically adapts to and is attached to the lower surface of the steel beam, the situation that the pushing shoe is uneven in stress due to local concave-convex is avoided, and the service life of the steel beam is prolonged. And the vertical elastic mechanism and the pressure sensor are matched with each other to detect the inclination of the two sides of the steel beam.

The application provides an electrical control system and parallel scheduling method of a large gear automatic welding workstation, belongs to the field of automatic welding equipment and intelligent manufacturing technology, the method controls two riveting and welding platforms to alternately perform welding, turning over and feeding and discharging through a central controller, and realizes no-waiting alternate operation by using area interlocking and pre-switching logic; combined with demonstration-free visual guidance welding and mobile base control, it ensures continuous operation of the welding robot and guarantees that multiple mobile work equipment do not interfere and collide; the central controller opens an industrial Ethernet protocol interface, collects welding parameters in real time and uploads them to an MES system, realizes data tracing and remote monitoring. The application solves the problems of low utilization rate, weak multi-variety adaptability, weak collaborative control ability and insufficient data collection and networking ability of the existing large gear welding workstation equipment.

The invention discloses a daisy chain type temperature intelligent instrument communication method and system based on an advanced physical layer. A communication method combining the advanced physical layer and a daisy chain topological structure is adopted and applied to a temperature intelligent instrument in the process industry. Collected data and fault data and state data of the intelligent instrument are communicated with the outside through an industrial Ethernet based on an APL, large-scale temperature instrument Ethernet communication in the process industry is realized by adopting a communication medium of the APL, and each instrument in an industrial field is connected with other instruments through an interface of a daisy chain. By adopting the APL instrument, long-distance high-speed communication can be supported, the utilization rate of the acquired data can be improved, the convenience of instrument operation and maintenance can be enhanced, and the defects that the communication content is limited, more meaningful data cannot be transmitted and the use efficiency of the data acquired by the intelligent instrument is reduced due to the fact that the conventional intelligent instrument can only adopt low-speed communication are effectively changed.

The invention discloses a multi-shaft plating line control system and method based on distributed group intelligence, and particularly relates to the technical field of plating line distributed control, the system comprises a physical execution layer, the physical execution layer comprises a pay-off shaft, a plurality of transmission guide shafts, a plurality of plating bath units and a take-up shaft which are arranged in sequence along a production line; the distributed intelligent control layer is composed of intelligent agent nodes which are in one-to-one correspondence with the execution units in the physical execution layer and have independent sensing, decision making and communication capabilities; according to the group intelligent communication network, all intelligent agent nodes are connected into a peer-to-peer network through a high-speed real-time industrial Ethernet, and low-delay and high-bandwidth information interaction between the nodes is achieved. According to the method, single-point faults can be eliminated, extremely high cooperative control precision is achieved, meanwhile, high flexibility and robustness are achieved, when a certain node in the system breaks down, the adjacent node can immediately sense and adjust self behaviors for compensation, and fault diffusion is avoided.