88 results about "Fieldbus" patented technology

The invention relates to the technical field of automatic control, and discloses a water affair treatment process optimization control method, system and equipment and a medium. The method comprises the steps of performing state judgment on sensor detection data through a multi-parameter state recognition algorithm to obtain a processing stage switching instruction; modeling a microbial activity change rule according to the switching instruction to obtain a staged prediction model; optimizing the prediction model through a switching model prediction control algorithm to obtain a multi-target control strategy; performing coordinated calculation on the set value according to the control strategy to obtain a distributed control instruction; and performing driving control on the equipment by using the control instruction through the field bus to obtain a coordinated operation state. According to the invention, the control precision and the multi-target coordination optimization capability of the water affair treatment process are improved.

The invention relates to the technical field of data processing, and discloses an automatic control platform operation data management method. The method comprises the steps of collecting industrial equipment data through a field bus, storing the industrial equipment data into a database in a classified mode and establishing an index table, extracting a control loop to construct a DCS model, generating a process abnormality diagnosis report, calculating control parameters by using a self-tuning algorithm and outputting a control instruction, optimizing a process formula based on an implementation effect and constructing a recommendation knowledge base. According to the intelligent data management method, the process abnormality is accurately diagnosed, the control parameters are automatically optimized, and the process knowledge is continuously accumulated, so that the control precision, the diagnosis efficiency, the parameter optimization capability and the knowledge reuse level of the industrial production process are improved.

The invention relates to the technical field of industrial automation control, and discloses a distributed collaborative and intelligent master control system for a candy production line, which comprises a master control unit and a plurality of resource nodes which are connected with each other through an industrial field bus supporting a precise clock synchronization protocol, the general control unit generates and broadcasts a virtual main shaft position signal to define a system time sequence progress; each resource node corresponds to a physical execution unit with different physical response hysteresis characteristics, an electronic cam curve table for defining a mapping relation between a control set value and a virtual spindle position signal is stored, the resource nodes are configured with phase lead compensation logic, and a phase offset is superposed before the curve table is inquired, so that the phase lead compensation is realized. According to the method, phase pre-compensation is introduced in a logic instruction level, so that the problem of cooperative mismatch caused by response inertia difference of heterogeneous physical execution units is solved, and accurate alignment and seamless flexible remodeling of multi-section actions in a time domain are realized.

The invention discloses an EtherCAT master station synchronous control method and system based on a microkernel operating system, and belongs to the technical field of industrial automation field bus control. According to the system, a microkernel architecture is adopted, an EtherCAT protocol stack and a universal network protocol stack are deployed as two independent user mode processes, and data interaction is carried out through an inter-process communication and shared memory mechanism provided by a microkernel. According to the method, through a bidirectional dynamic clock compensation mechanism, static compensation in an initialization stage and dynamic compensation in an operation stage of a system are combined; a dynamic task scheduling strategy based on load awareness is adopted, and the task execution sequence is dynamically adjusted according to the CPU utilization rate and the task priority monitored in real time; a hardware redundancy design of double clock sources and double communication links is introduced, and a progressive synchronous recovery strategy is adopted during switching. According to the invention, nanosecond-level synchronization precision and microsecond-level fault switching can be realized, and the method is suitable for industrial control scenes with extremely high requirements on real-time performance and reliability.

The invention belongs to the technical field of digital twinning, and particularly discloses a virtual-real cooperative control method for a coarse and fine grinding all-in-one machine based on digital twinning, which comprises the following steps: S1, collecting real-time processing parameters of a coarse grinding unit and a fine grinding unit, and constructing a grinding digital twinning body synchronous with an actual processing process; s2, constructing a long-short-term memory network model, and predicting the state evolution trend of each unit in the future processing process; s3, optimizing the technological parameters of the whole process from coarse grinding to fine grinding in the grinding process of the digital twin; s4, searching an optimal process parameter combination in the grinding digital twin environment by adopting a snake swarm optimization algorithm; s5, the actual coarse grinding and accurate grinding process is driven to be executed; and S6, if machining abnormity or deviation is detected, re-optimization and correction control is automatically triggered. According to the method, a snake swarm optimization algorithm, a long-short-term memory network model and an industrial field bus control technology are combined, and virtual-real cooperative grinding control of the full-automatic coarse and fine grinding all-in-one machine based on digital twinning is achieved.

This invention discloses a synchronous monitoring system and method for a cantilever bridge-building machine based on the Internet of Things (IoT) and a BeiDou total station. By effectively applying new technologies such as BeiDou positioning, total station measurement, and IoT, it integrates existing fieldbus technology and safety monitoring technology to create a complete safety monitoring system. This invention offers more powerful functions than traditional equipment safety monitoring systems, particularly in high-precision three-dimensional positioning. It achieves centimeter-level positioning accuracy under normal conditions and millimeter-level accuracy for short-term applications. This directly meets the distance synchronization requirements of dual-machine operation in cantilever bridge-building machines and provides continuous monitoring of vertical and horizontal offsets throughout the bridge construction cycle, ensuring the operational safety of this new type of cantilever bridge-building equipment.

The invention relates to the technical field of industrial field bus communication, and provides an industrial field bus communication protocol unified adaptation method and device, a medium and equipment, and the method comprises the steps: constructing a unified adaptation protocol frame based on a JSON format, and the unified adaptation protocol frame comprises an application service interface layer, a protocol stack adaptation layer and a hardware communication routing layer; after a user application end request is received, an application service interface layer analyzes and extracts parameters such as a target equipment identifier and a protocol type; the protocol stack adaptation layer matches a path according to a protocol type, and converts an operation instruction and a data address into a target protocol data frame; the hardware communication routing layer matches a hardware interface type, converts a target protocol data frame into a physical layer data frame and sends the physical layer data frame to corresponding equipment; and after the receiving equipment responds to the data frame, the protocol stack adaptation layer converts the data frame into a unified adaptation protocol response frame, and the unified adaptation protocol response frame is returned to the user side through the application service interface layer. According to the method and the device, the unified adaptation protocol framework is constructed, so that unified adaptation and efficient communication of field bus equipment of different protocol types are realized.

The invention relates to the technical field of battery monitoring, in particular to a battery health state estimation method based on a battery aging system, which is characterized in that an upper computer and a plurality of test nodes are connected through an industrial field bus communication protocol, charge-discharge cycle test is performed on a battery pack, and battery data are acquired in real time; and processing the data by using a protocol analysis engine and a sliding time window technology, calculating a battery capacity fading rate and an internal resistance change rate, and generating a standardized data set. And a health state evaluation model is constructed through a machine learning model, real-time evaluation and visual display of the health state of the battery are realized, and early warning is given out when the health state is lower than a threshold value. The method supports dynamic parameter configuration, adopts a time sequence database to store data, and facilitates full-life-cycle data tracing. According to the invention, multi-dimensional data acquisition, intelligent analysis and safety protection are integrated, the efficiency, reliability and intelligent level of the battery aging test are improved, and a scientific basis is provided for battery maintenance and management.

The invention relates to the technical field of industrial automation control, in particular to an automatic equipment numbering system and method based on an industrial field bus. The method comprises the following steps: broadcasting an initial address seed through a main controller, and sequentially setting incremental addresses for equipment by adopting a chain transmission mechanism in linear topology; exclusive address fields are dynamically divided in the bifurcation topology, buffering is reserved, and hierarchical chain type numbering is started by branch head equipment; monitoring an equipment state in real time, recovering an offline address to an address pool for priority allocation of new equipment, and automatically expanding an upper limit of an address field when the address is exhausted; a conflict risk prediction model based on multi-modal data fusion is introduced, and the crossing from passive processing to active early warning is realized through adaptive adjustment of detection frequency and a preventive reset mechanism. According to the invention, plug-and-play deployment of equipment without manual intervention is realized, and the automatic management level and reliability of an industrial bus network are remarkably improved.

This invention relates to the field of industrial automation and control network technology, and discloses a real-time synchronization method system for LonWorks networks based on digital twin variables. Applied to LonWorks fieldbus networks, it is implemented based on a heterogeneous node system consisting of a general-purpose processing module, a LonTalk protocol processing module, and a high-speed serial communication bus. The general-purpose processing module carries a manager, the LonTalk protocol processing module maintains standard LonWorks network variables and has a built-in LonTalk protocol stack, and the high-speed serial communication bus transmits DTVP data frames. This invention achieves a significant leap in node computing power, freeing nodes from the limitations of dedicated communication chips and allowing them to directly utilize the high performance of industry-leading general-purpose microcontrollers to easily handle complex control algorithms, real-time data filtering, lightweight artificial intelligence inference, and other complex tasks.

A gateway (2) for a fieldbus system (100), wherein the gateway (2) comprises a first processor (6) with a first operating system (62), a second processor (7) with a second operating system (72) which is different from the first operating system (62) and has a virtual Ethernet interface (73), and an inter-processor communication interface (9) which is designed to enable an Ethernet protocol-based inter-process communication between the first operating system (62) and the second operating system (72) using the virtual Ethernet interface (73).

The application discloses an EtherCAT master station synchronization control method and system based on a microkernel operating system, and belongs to the technical field of industrial automation fieldbus control. The system adopts a microkernel architecture, deploys an EtherCAT protocol stack and a general network protocol stack as two independent user state processes, and carries out data interaction through an inter-process communication and shared memory mechanism provided by the microkernel. The method combines static compensation in the system initialization stage and dynamic compensation in the running stage through a bidirectional dynamic clock compensation mechanism, adopts a dynamic task scheduling strategy based on load sensing, dynamically adjusts the task execution order according to the real-time monitored CPU usage and task priority, introduces a hardware redundancy design of double clock sources and double communication links, and adopts a gradual synchronization recovery strategy during switching. The application can realize nanosecond-level synchronization accuracy and microsecond-level fault switching, and is suitable for industrial control scenes with extremely high real-time and reliability requirements.

The application discloses a dynamic terminal resistance adaptive adjustment method, device, equipment and medium, and belongs to the technical field of industrial fieldbus communication. The method comprises the following steps: judging whether the current node is the physical end of the bus or not, disconnecting the terminal matching if the current node is not the end, and injecting a preset rising edge calibration pulse into the bus if the current node is the end; collecting a reflected signal generated by the calibration pulse on the bus, and recording waveform characteristic parameters including at least an overshoot amplitude and a ringing duration; according to the waveform characteristic parameters, iteratively adjusting a terminal resistance value by using a variable step strategy, increasing the resistance value when the overshoot amplitude exceeds a preset amplitude threshold, decreasing the resistance value when the ringing duration exceeds a preset time threshold, and stopping until a matching completion condition is met; and locking the optimal terminal resistance as the matching resistance value under the current communication mode. The application realizes automatic identification of the end node and closed-loop adaptive adjustment of the terminal resistance, and significantly improves the signal integrity and reliability of the bus communication.

The invention relates to a method (100) for starting up a field device (10) in an automation system () which has a superordinate control unit (30). In the method (100) according to the invention, a simulation value (25) to be output to the field device (10) is specified by a handheld device (20). A logical measurement point (36) at which the simulation value (25) is output is determined in the superordinate control unit (30). The determined logical measurement point (36) is compared with a target measurement point (38). In the event of a match, the field device (10) is operated via the present communicative field bus connection (19). The invention also relates to a corresponding computer program product (40), to a handheld device (20), to a corresponding field device (10), and to a correspondingly equipped automation system (50). The invention further relates to a simulation method (200) and to a simulation program product (60), by means of which the operating behavior of such an automation system (50) can be adjusted.

The invention belongs to the technical field of intelligent welding, and discloses an embedded intelligent voice welding system centralized controller device which comprises a centralized controller, a plurality of welding machine devices, a mobile phone APP, an upper computer and a cloud server. The centralized controller is connected with a touch screen or a display screen through an MIPI interface or an HDMI interface, the centralized controller is in communication connection with a mobile phone APP and a computer upper computer through a wireless network or 5G or Bluetooth, and the mobile phone APP and the computer upper computer complete intelligent query of welding parameters through voice input or text input. And part of welding key parameters can be adjusted on line. The operation flexibility of the equipment is improved in the mode that the welding machine equipment is controlled through a wireless network, visual drawing improves the intuition of monitoring of the welding process, the requirement for knowledge reserve of welders is lowered through use of the cloud server, and the working efficiency and the welding quality are improved.

The invention discloses a steam generator liquid level control system verification platform based on hardware-in-the-loop simulation, and belongs to the technical field of nuclear reactor control. The invention aims to solve the problem of inaccurate description of physical equipment characteristics in the existing simulation technology. The platform comprises a DCS control system, a controlled device, an industrial control computer and a data communication network. The DCS control system comprises an upper computer, a Siemens S7-400 controller and a Siemens ET200M distributed I / O system, the controlled device is a Speedgoat real-time simulation platform carrying a steam generator simulation model, and the data communication network is composed of an industrial Ethernet and a PROFIBUS field bus. The platform supports a rapid control prototype and hardware-in-the-loop simulation dual mode, is compatible with PID and an intelligent control algorithm, has the functions of data storage, visual monitoring and the like, can accurately simulate actual working conditions, realizes full-process coverage from design to verification, improves simulation credibility and research and development efficiency, and provides a reliable test environment for steam generator liquid level control research.

This invention discloses a method and apparatus for automatic unloading and reloading control of a multi-robot collaborative tippler, relating to the field of robot collaborative control technology. The method includes: constructing a master-slave communication architecture for the tippler, comprising a master PLC acting as the network master and multiple working robots acting as network slaves, all connected to a fieldbus; the master PLC generating collaborative control commands based on the tippler's operating instructions; controlling the unloading and reloading operations of the multiple robots based on the collaborative control commands; before control implementation, acquiring the angular velocities of the master and slave motors via the fieldbus, calculating the angular velocity deviation, and generating an auxiliary control quantity that is superimposed on the slave motors to achieve angular velocity synchronization between the master and slave motors. This invention solves the technical problem in existing technologies where insufficient synchronization accuracy of master and slave motors in multi-robot collaborative operation scenarios affects the coordination and accuracy of collaborative control in multi-robot unloading and reloading operations, achieving the technical effect of improving the operational stability of the tippler and the accuracy and automation level of multi-robot collaborative unloading and reloading operations.

The invention discloses an automatically-controlled full-automatic cell culture system control scheme, relates to the technical field of cell culture and automatic control, and constructs a distributed control network with an industrial personal computer in a man-machine interaction system as a central command center. Real-time and two-way communication with local control panels of all functional systems is established through various field bus protocols, and each system is an execution unit with independent processing capacity and is responsible for receiving high-level process instructions and analyzing the high-level process instructions into accurate pulse control over a bottom servo motor and a stepping motor, so that the control precision of the system is improved. According to the framework, the central controller can efficiently arrange space-time action sequences of the six-axis robot, the electric clamping jaw and all functional systems in a task scheduling mode, whole-course automatic assembly line work from taking out of a cell bottle from a storage rack, transferring, uncovering, pipetting, liquid adding and centrifuging to finally putting into an incubator is achieved, manual intervention nodes are eliminated, and the working efficiency is improved. And the absolute standardization and repeatability of the operation are ensured.

The application relates to the technical field of data processing, and discloses an automatic control platform operation data management method. The method comprises the following steps: collecting industrial equipment data through a field bus, storing the data in a database in a classified manner and establishing an index table, extracting a control loop to construct a DCS model, generating a process abnormality diagnosis report, calculating control parameters and outputting control instructions by using a self-tuning algorithm, optimizing a process formula based on implementation effects and constructing a recommended knowledge base. The application realizes an intelligent data management method for accurately diagnosing process abnormalities, automatically optimizing control parameters and continuously accumulating process knowledge, so that the control precision, diagnosis efficiency, parameter optimization capability and knowledge reuse level of an industrial production process are improved.

This invention discloses a fully automatic vertical fish-killing machine control system based on TwinCAT3, belonging to the field of automated control technology for aquatic product processing equipment. The system adopts an open architecture of "PC + TwinCAT3," with EtherCAT fieldbus as the communication core. The hardware consists of a host computer, Beckhoff embedded controller, servo drive unit, sensors, and actuators for transmission, positioning, descaling, cutting, and evisceration. The software is developed based on the TwinCAT3 platform, integrating modules for fish size detection, multi-axis synchronous motion, process timing control, status monitoring, and human-machine interaction. The system acquires fish size parameters through displacement and photoelectric sensors, and relies on servo control and timing logic to achieve coordinated actions of various mechanisms, completing the fully automated fish-killing process. This system has a simple structure, reliable control, and moderate development and debugging difficulty. It solves the problems of asynchronous actions, poor fish adaptability, and insufficient processing accuracy in traditional fish-killing machines, and can meet the automated processing needs of common fish species.

The application belongs to the technical field of digital twinning, and particularly discloses a rough and fine grinding integrated machine virtual-real collaborative control method based on digital twinning, which comprises the following steps: S1, collecting real-time processing parameters of a rough grinding unit and a fine grinding unit, and constructing a grinding digital twinning body synchronized with an actual processing process; S2, constructing a long short-term memory network model to predict the state evolution trend of each unit in a future processing process; S3, performing process parameter optimization of a rough grinding to fine grinding whole process in the grinding digital twinning body; S4, searching for an optimal process parameter combination in the grinding digital twinning body environment by using a snake swarm optimization algorithm; S5, driving actual rough grinding and fine grinding process execution; and S6, if a processing abnormality or deviation is detected, automatically triggering re-optimization and correction control. The application combines a snake swarm optimization algorithm, a long short-term memory network model and an industrial field bus control technology, and realizes virtual-real collaborative grinding control of a full-automatic rough and fine grinding integrated machine based on digital twinning.

This invention relates to the field of intelligent assembly control and discloses a logic control system for intelligent assembly of radiators, including: an industrial fieldbus interface unit, a control state observation unit, and a core logic scheduling unit. Its core function lies in using the core logic scheduling unit to monitor the statistical variance of the force feedback signal to determine the contact transient, initiating a contact transient logic masking program, cutting off the deviation accumulation path by latching the state variables of the multiplication branch, and simultaneously switching the control architecture to an open-loop feedforward compensation topology based on the comprehensive disturbance estimate. This invention utilizes the second-order differential residual of the back electromotive force to construct a masking mechanism, avoiding the risk of command step jumps induced by sensor feedback lag during physical contact transients, converting uncontrollable mechanical impacts into a deterministic logic dissipation process, and achieving smooth control handover when the controlled assembly end crosses the physical boundary.

The invention relates to the technical field of safety monitoring, and particularly discloses a dry coal shed safety monitoring system, which comprises a data acquisition module, a data transmission module, a data processing module, a data storage module, a data processing module, a data processing module and a data processing module, and is characterized in that stress sensors, laser displacement meters, settlement sensors and steel rope meters are arranged at key parts of a dry coal shed; data are transmitted to a master control server with a built-in finite element analysis and data processing module and a model building module through a collector, a finite element model is built according to design parameters, foundation displacement working conditions of + / -5 mm to + / -50 mm are simulated, the mapping relation between an upper structure and foundation displacement is fitted, the data processing module is used for correcting displacement data through the mapping relation, and the displacement data are obtained. And the early warning module is used for setting a multi-parameter threshold value, and triggering initial / middle / advanced early warning according to single abnormality, multi-parameter abnormality and continuous increase of the basic displacement. The system realizes real-time comprehensive monitoring, fills the blank of the prior art, and ensures the safety and stability of the dry coal shed.

The present invention relates to a thermal management module (1) comprising: a component carrier (2); at least two, preferably multiple, electrically controllable functional components (3) for temperature control of at least one vehicle component of a motor vehicle, the functional components being detachably or non-detachably connected to the component carrier (2); at least one electrical control unit (4) comprising a control electronics system (5) for electrically controlling at least two, preferably multiple, particularly preferably all functional components (3), the control electronics system being electrically connected to the respective functional components (3) via at least one electrical control line path (6) and / or via a component fieldbus (7), and disposed in a housing (8) of the control unit (4); wherein the housing (8) of the control unit (4) is detachably or non-detachably fixed to at least one of the component carrier (2) and / or the functional components (3).

The application discloses a 5G intelligent edge terminal supporting a TSN network, which comprises a 5G module and an embedded unit bidirectionally connected with the 5G module, wherein the embedded unit comprises a central processing unit (CPU) and an embedded neural network processing unit (NPU), a TSN Ethernet interface and an industrial field bus interface bidirectionally connected with the CPU; the industrial field bus interface comprises an RS485 bus interface and a CANFD bus interface; the CPU comprises a multi-core ARM processor and a coprocessor bidirectionally connected with the multi-core ARM processor. The application realizes high-reliability and deterministic data interaction requirements between the 5G and TSN networks and the industrial field CANFD bus interface and the RS485 bus interface, promotes the development of industrial real-time networks and realizes industrial 4.0; the heterogeneous platform scheme is adopted, and the task of industrial field data network processing is realized by cooperation of the main processor and the coprocessor, and the requirements of equipment running speed, cost, configurability and the like are considered.

The application discloses a time correction method of an industrial control system, the system comprising a controller arranged in a master rack and at least one target module arranged in a slave rack, the controller and the at least one target module being connected through an industrial field bus, and the industrial field bus comprising one or more connection modes. The time correction method comprises: when the controller and the target module exchange messages through periodic scanning, determining a clock difference and a propagation delay of a local clock of the target module relative to a clock of the controller according to time information contained in a header of the message; and correcting the local clock of the target module according to the clock difference and the propagation delay of the local clock of the target module relative to the clock of the controller. The above method can accurately correct time without adding extra hardware to the industrial control system, thereby reducing cost and being applicable to various working environments. The application also discloses an industrial control system and a storage medium.

The embodiment of the application provides a high-frequency real-time control method and device based on an integrated bus architecture, divides a system into a solving module and a control module, realizes efficient data interaction through a concurrent queue, adopts an integrated architecture of an industrial Ethernet bus and a field bus, trains a load prediction model based on historical data, and realizes dynamic adjustment of a task weight coefficient. By establishing a motor abstraction layer, adaptive initialization of different types of motors is realized, and control parameters are dynamically generated based on the load prediction result. The method breaks through the limitations of the traditional fixed scheduling strategy, and through adaptive task scheduling and load prediction compensation, the real-time performance and reliability of multi-motor collaborative control are significantly improved.

The fieldbus solenoid system has a solenoid operated control valve with a solenoid pilot mounted and operated by the solenoid pilot. A DC power supply is connected to the coil of the solenoid pilot and a driver for actuating the coil. A resistive element is connected in series with the power supply, the driver, the solenoid coil and ground. A frequency generator is connected to the circuit for generating a frequency burst to the coil with characteristics that do not actuate the solenoid pilot. The voltage between the coil and the resistive element is measured and compared to a reference voltage value measured from the same circuit location. When the measured voltage increases from the reference voltage by a predetermined amount over time, an indication signal is displayed on the fieldbus solenoid system or externally.

The application relates to the technical field of intelligent home distributed control, in particular to a smart ventilation wall cabinet and a control system thereof, which comprises a wall cabinet body and a smart ventilation control system, the inner cavity of the wall cabinet body is divided into multiple independent storage compartments, each compartment is provided with an independent environment collection point and a ventilation execution mechanism; the smart ventilation control system comprises a central control unit, a distributed field control substation, a field bus communication module, a multi-modal environment sensing unit, a distributed ventilation execution unit, a man-machine interaction unit, an intelligent home linkage unit, a fault self-diagnosis unit and a power management unit, realizes accurate ventilation regulation of multiple areas in the cabinet, can match different ventilation strategies according to different stored articles, is compatible with whole-house intelligent home linkage, has the functions of self-diagnosis of equipment states and risk early warning, and has the functions of improving the technical problems of low ventilation control precision, poor operation reliability, insufficient fine prevention and control capability and weak scene adaptability of the intelligent wall cabinet.

This application relates to the field of automatic control technology, and discloses a method, system, equipment, and medium for optimizing control of a water treatment process. The method includes: determining the state of sensor-detected data using a multi-parameter state recognition algorithm to obtain a treatment stage switching command; modeling the change pattern of microbial activity based on the switching command to obtain a staged prediction model; optimizing the prediction model using a switching model predictive control algorithm to obtain a multi-objective control strategy; coordinating the calculation of setpoints based on the control strategy to obtain distributed control commands; and using the control commands to drive and control the equipment via a fieldbus to obtain a coordinated operating state. This application improves the control accuracy and multi-objective coordinated optimization capability of the water treatment process.