3804 results about "Programmable logic controller" patented technology

The invention relates to the technical field of digital twinning, and discloses a pump station working condition monitoring method and system based on digital twinning and a storage medium. The method comprises the following steps: receiving a pump station operation characteristic matrix of pump station equipment through a PLC (Programmable Logic Controller) control cabinet; constructing a hybrid digital twin model based on the pump station operation characteristic matrix and generating operation state prediction data; inputting the operation state prediction data and the actual monitoring data into a Transform network to carry out working condition feature association mode extraction and health index quantitative calculation to obtain an equipment health assessment index; and triggering an early warning response mechanism by using the equipment health assessment index, and outputting a unit start-stop control strategy of the pump station equipment to the scheduling system through the remote management platform. According to the invention, the capability of identifying abnormal working conditions and the accuracy of early warning are improved, the purposes of'few people on duty, remote monitoring and low-consumption operation 'of the pump station are achieved, the operation and maintenance cost is greatly reduced, and the service life of equipment is prolonged.

The invention relates to the technical field of data processing, and discloses a real-time data processing analysis method and system of an industrial PLC. The method comprises the following steps: transmitting temperature, pressure, current, vibration and acoustic parameters acquired by multiple sensors to an industrial PLC (Programmable Logic Controller) in real time to obtain multi-source heterogeneous original data; preprocessing the multi-source heterogeneous original data to obtain standardized fusion data; correlation calculation and anomaly recognition are carried out through the multivariate analysis model, and an abnormal state classification result is obtained; dynamically adjusting data interaction frequency and sampling rate between the edge nodes and the central PLC, and generating a real-time control decision instruction; and matching the real-time control decision instruction with the current motor load fluctuation state, and outputting the optimal frequency conversion control parameter. According to the invention, the response delay of the system is reduced, the control precision and reliability are improved, the dynamic balance between the safety and the energy efficiency is realized, and the system can intelligently adjust the control strategy according to the real-time safety situation.

The invention relates to a multi-scene self-adaptive intelligent bottom argon blowing control method and system. The method comprises the steps that after a steel ladle reaches a working position, the air permeability is determined, a ladle setting signal is received, argon blowing is started, an infrared thermal imager is started to monitor a picture to judge the liquid steel level, and the liquid level area of the whole steel ladle is completely filled; pLC (Programmable Logic Controller) of all equipment in the whole refining process is intelligently linked, the bottom blowing stirring power is determined, the bottom blowing gas pressure and the bottom blowing gas flow are calculated, and relevant parameters such as the exposed area and the exposed edge slag layer height of molten steel in a continuous video stream are tracked and calculated in real time according to the metallurgical purpose of different stages, so that the bottom blowing control is further optimized; and a flow data instruction is issued to a bottom blowing PLC to control the pressure and flow of bottom blowing gas. According to the requirements of field production, video images of molten steel in the argon blowing state are automatically and continuously received in a zero-delay mode, the argon flow and pressure are automatically distributed through intelligent bottom blowing control, it is guaranteed that each furnace achieves the good bottom blowing stirring effect, field production is guided, and the production labor intensity is reduced.

The invention discloses a multi-agent-based programmable logic controller structured text generation method. The method comprises the following steps: constructing a programmable logic controller programming task solution knowledge base; five large model agents are constructed, including a knowledge retrieval agent, a task planning agent, a structured text generation agent, a verification agent and an error correction agent. According to the method, through mutual cooperation of multiple agents and flexible calling of various tools and models, the knowledge deficiency of a large language model in the programming aspect of the programmable logic controller is made up by utilizing a retrieval enhancement generation technology, the illusion problem of the large language model in the process of generating the structured text of the programmable logic controller is effectively reduced, and the reliability of the structured text of the programmable logic controller is improved. And the success rate and the expansibility of automatically generating the structured text of the programmable logic controller are improved.

The invention provides a sewage treatment system and method based on PLC control, and relates to the field of sewage treatment. The system comprises a PLC (Programmable Logic Controller), a data acquisition module and a data processing module, the data acquisition module is used for acquiring detection data of each sewage treatment tank in the sewage treatment device, and the detection data comprises regulation tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data; the data processing module is used for analyzing the detection data to obtain regulation and control data, and the regulation and control data comprises regulating tank regulation and control data, hydrolysis regulation and control data, anaerobic regulation and control data, oxidation regulation and control data, sedimentation tank regulation and control data, sludge concentration regulation and control data and disinfection regulation and control data; and the PLC is used for generating a control signal according to the regulation and control data. The water treatment effect is improved through the system.

The invention relates to the field of pump set control, in particular to a multi-modal pump set dynamic optimization control method and system, and the method comprises the steps: collecting the current waveform, pressure pulsation spectrum and flow time sequence data of each unit of a pump set through a distributed sensor array, and carrying out the time-frequency domain fusion processing to generate an operation state tensor; and inputting a multi-modal identification neural network, and outputting a dominant modal identifier and a modal confidence vector. And according to the modal confidence, activating a basic optimization strategy library or executing cross-modal strategy collaboration, and generating an optimization instruction. And dynamically selecting an instruction conversion path to obtain a frequency converter parameter set, loading the frequency converter parameter set to a programmable logic controller, and driving an execution mechanism to converge a moving track. The method can effectively cope with changes of multi-mode operation states and complex working conditions, and dynamic optimization of the pump set is achieved.

A virtual machine controller service of a service provider network may provide a virtual machine controller environment where applications associated with machine controllers (e.g., programmable logic controllers (PLCs), programmable automation controllers (PACs), etc.) can execute and data can be provided as input to the executing applications. An example process may include receiving a request to create a virtual controller instance, and creating the virtual controller instance in a service provider network based at least in part on the request. The example process may further include executing, on the virtual controller instance, an application that is associated with a machine controller that is operable within a facility, and sending data as input to the application to elicit a response from the application. This example process can be used for training personnel and / or for validating machine controller applications prior to their deployment on a physical machine controller in a facility.

The invention relates to the technical field of new-generation information, in particular to a braid defect detection method and system based on artificial intelligence. The method comprises the following steps: acquiring dynamic images of the front and back surfaces of a braid through an industrial camera, adjusting exposure time and light source brightness, and generating an acquisition image; performing segmentation and enhancement processing on the acquired image, extracting an image feature sequence of a defect area of the braid, and generating standardized image data; inputting the standardized image data into a deep learning model, identifying a defect region, and outputting a defect position, confidence and area; and generating an NG signal based on the defect parameters, transmitting the NG signal to a PLC (Programmable Logic Controller) to control a labeling machine to mark a defect area, storing defect data and generating a visual analysis report. Through combination of high-precision image acquisition and a deep learning algorithm, accurate identification and real-time feedback of complex defects on the surface of the braid are realized, the false alarm rate and the omission ratio are remarkably reduced, and the detection efficiency and the braid production quality are improved.

The invention discloses an automatic stereoscopic warehouse goods sorting system and method, and relates to the technical field of intelligent sorting, the system comprises an input layer, a storage layer, an execution layer, a control layer and a management layer, the input layer comprises a bar code RFID scanning system, a machine vision identification system, a sensor and an input terminal, the storage layer comprises a three-dimensional goods shelf, a tray goods shelf system and a storage management system, the execution layer comprises a stacking machine, a conveying belt, a sorting robot and a carrying vehicle, and the control layer comprises a programmable logic controller, a monitoring and data acquisition system and a communication network. According to the automatic stereoscopic warehouse goods sorting system and method, efficient cooperative work among equipment can be achieved, and the goods processing speed and efficiency can be improved.

The invention discloses a protocol method for realizing intelligent connection of a PLC (Programmable Logic Controller) with an AI (Artificial Intelligence) large model, which relates to the technical field of industrial automation, and comprises the following steps: in a PLC system, configuring an MCP client module by defining basic parameters of an MCP, and embedding a context management module in the MCP, the basic parameters comprising a data format, a communication protocol and a security mechanism; and establishing a bidirectional communication channel between the PLC and the AI system based on the configured MCP client module. According to the protocol method for intelligently connecting the PLC with the AI large model, seamless connection between the PLC and the AI system is achieved by defining a unified data format, a communication protocol and a security mechanism, the complexity and the error rate of data transmission are reduced, the overall data transmission efficiency is improved, and the method is suitable for popularization and application. The context management module embedded in the MCP can store and manage historical data, so that the AI system can make intelligent decisions based on comprehensive data, and the accuracy is improved.

The invention discloses a sewage treatment whole-process operation regulation and control calculation system based on deep learning, and relates to the technical field of intelligent control, and the system comprises a strategy optimization module which optimizes a future pollution trend prediction sequence and a regulation and control factor weight table by using a reinforcement learning strategy network in combination with a genetic algorithm optimizer, dynamically generating an aeration, dosing and backflow operation parameter combination aiming at a regulation target to form a dynamic regulation instruction set; the instruction execution module is used for issuing a dynamic regulation and control instruction set to the programmable logic controller by utilizing an industrial control interface, and collecting response information and real-time effluent quality data as execution feedback information; and the model updating module carries out error comparison on execution feedback information and a future pollution trend prediction sequence, constructs a weighted error sequence, and dynamically corrects deep network parameters through an online fine tuning strategy to form a prediction control model. According to the method, the generalization ability and robustness of the predictive control model are remarkably improved.

The invention discloses a control system and method for an automatic beer production line, relates to the technical field of automatic control, is used for solving the problems that state judgment is lagged and abnormal trend is difficult to identify in time, identifies electronic tags of key equipment through an RFID reader-writer, imports models and serial numbers into a database, and automatically associates operation parameters. The distributed sensors collect temperature, pressure, flow and vibration data in real time, the analysis unit calculates the operation deviation and the health degree, a multi-condition control strategy is configured through the programmable logic controller based on the health degree, a time window and a task priority algorithm are combined, real-time data and historical data are compared to recognize abnormity, and the real-time data and the historical data are analyzed. And a fuzzy control algorithm is fused to generate an adjustment instruction, the equipment state is automatically adjusted, time sequence modeling is utilized to analyze whole-process data, a start-stop strategy is formulated, energy distribution and process optimization are performed, and intelligent scheduling and self-adaptive optimization of the beer production line are realized.

The invention discloses a spraying system capable of intelligently adjusting air balance of a whole line. The spraying system comprises an air supply and exhaust control unit, a multi-dimensional sensor unit and a control unit. The air supply and exhaust control unit comprises a plurality of air supply and exhaust systems which are applied to a feeding and discharging area, a heating chamber, a manual and automatic dust removal area, a slitting area, a UV curing area and a spraying room respectively and structurally comprises a high-pressure fan, an air supplement fan, an environment air supply box, a proportional valve, a circulating fan and a waste discharge fan, and it is ensured that the air volume and the pressure difference of all the areas are controllable. The multi-dimensional sensor unit is used for collecting air volume, pressure difference and VOC concentration data of each area. The control unit comprises a PLC (Programmable Logic Controller), a frequency converter group and an industrial personal computer, and is used for executing a PID (Proportion Integration Differentiation) control strategy and adjusting the rotating speed of a fan and the opening degree of a proportional valve based on sensor data through a wind balance control algorithm and a VOC concentration control algorithm so as to realize the stable control on the wind balance of the whole line and the VOC concentration of the spraying room. According to the system, various air supply and exhaust mechanisms and intelligent control algorithms are integrated, and the environment control precision and efficiency in the spraying process can be effectively improved.

Methods for generating programmable logic controller (PLC) code and corresponding systems and computer-readable mediums. A method (400) includes receiving (402) at least one specification (160) by a computer system (100). The method includes generating (404) a model-based design plan (158) based on the at least one specification (160) and a large-language model (LLM) (154) and processing (406) the model-based design plan (158) using low-rank adaption techniques (162) and the LLM (154) to produce PLC code (156). The method includes performing (408) a syntax check on the PLC code (156) and outputting (414) the PLC code (156).

The invention discloses a programmable logic controller programming system with an internet of things function, which relates to the technical field of industrial automation control and comprises a main control module based on a heterogeneous multi-core processor architecture and used for executing user program logic and coordinating operation of a communication module, a task distribution module, a dynamic loading module and a safety verification unit; according to the programmable logic controller (PLC) programming system of the internet of things, the real-time performance and the resource efficiency of an industrial control system are remarkably improved through heterogeneous multi-core collaboration, dynamic resource scheduling and multi-protocol compatibility technologies; on the basis of differential division of labor of the ARM and the FPGA, master core global scheduling and slave core high-real-time control are combined, and millisecond-level response of key tasks is guaranteed; compared with a traditional PLC, the system breaks through the limits of protocol closure, resource rigid distribution, shutdown dependence and the like, provides a flexible, stable and safe intelligent control core for the industrial Internet of Things, and promotes industrial automation to evolve towards high efficiency, networking and high availability.

The embodiment of the invention relates to electrochemical enhanced biological integrated intelligent regulation and control equipment for treating organic wastewater. The electrochemical enhanced biological integrated intelligent regulation and control equipment comprises an electrochemical enhanced biodegradation module and an intelligent control system, the electrochemical enhanced biodegradation module comprises a porous membrane electrode assembly, a power supply control system, an electrolyte adding system, a fixed bed biological membrane, an aeration system and a carbon source adding system; the intelligent control system comprises a data acquisition and remote monitoring module and a PLC (Programmable Logic Controller); the data acquisition and remote monitoring module acquires parameters such as COD (Chemical Oxygen Demand), dissolved oxygen concentration, ammonia nitrogen, total nitrogen and conductivity of the electrochemical enhanced biodegradation module and transmits the parameters to the PLC; and the PLC receives the parameters, and automatically adjusts one or more of voltage, current density, aeration rate and carbon source dosage based on a preset model established by a support vector regression and neural network machine learning algorithm. The intelligent regulation and control equipment can keep an optimal treatment state under different wastewater characteristics and load conditions, and has strong adaptability to environment or load fluctuation.

A system and method of performing secure write operations including receiving a secure write instruction at a programmable-logic controller (PLC), performing a validation operation on the secure write instruction at the PLC, rejecting the secure write instruction responsive to determining the secure write instruction is invalid. Responsive to determining the secure write instruction is valid, verifying a permissibility of the secure write instruction at the PLC, rejecting the secure write instruction responsive to determining the secure write instruction is impermissible, and executing the secure write instruction at the PLC responsive to determining the secure write instruction is permissible.

The embodiment of the invention relates to the technical field of sludge treatment, and discloses an AGI-based sludge deep dehydration conditioning method, which comprises the following steps: acquiring time sequence sensor parameters detected by a plurality of sensors at a dehydration conditioning system; acquiring an image, acquired by image acquisition equipment, of sludge at the corresponding capillary water absorption detection system; extracting an image feature vector from the at least one image according to the convolutional neural network, and encoding a corresponding time sequence sensor parameter by adopting a Transform module to generate a time sequence feature vector; fusing the image feature vector and the time sequence feature vector into an input state representation; the input state representation is input into an AGI multi-mode model for recognition processing, and output state information is generated through a multi-task decoder; and transmitting the optimal control parameters to a corresponding programmable logic controller so as to adjust the operation state of the dehydration conditioning system. By means of the method, real-time sensing, intelligent decision making and dynamic optimization of the sludge deep dehydration conditioning process are achieved.

A programmable logic controller capable of maintaining waterproofness or dustproofness includes a base unit with a substrate, a base case housing the substrate, and at least one holding part to hold a connection unit which is one of a plurality of module units. The connection unit includes a module-side connector, an engagement mechanism to be detachably engaged with the at least one holding part, and a module case with a fitting tenon to be engaged with the base case. The programmable logic controller includes an elastic member to apply a force in a first direction, which is a direction in which the connection unit moves away from the base unit, thereby pressing the engagement mechanism of the connection unit against the at least one holding part of the base unit, and a sealing member to seal a gap between the base case and the fitting tenon of the module case.

[Problem] To enable a user who creates a control program used in a programmable logic controller to enjoy the benefit of an LLM. [Solution] First information pertaining to an input / output apparatus connected to a PLC, second information pertaining to at least one of a command or a program module for controlling the input / output apparatus, and third information indicating control content implemented in combination with the command or the program module are received in a natural language. On the basis of same, a natural language prompt for generating a text code corresponding to a ladder diagram is generated. The prompt is transmitted to the LLM and an answer sentence is received from the LLM. A text code included in the answer sentence is converted into a ladder diagram. In addition, the prompt includes fourth information that constrains the text code included in the answer sentence to be suitable for the conversion into the ladder diagram.

The invention relates to a control method for an electroplating production line with an optimized PLC program. A multi-dimensional data analysis model is adopted, key parameters such as electroplating time, hanger circulation speed and bath occupation condition are comprehensively considered, and a process time relevance matrix is constructed; self-adaptive rhythm adjustment is carried out in the PLC, and the transmission rhythm is dynamically adjusted to enable circulation among the process nodes to be balanced; a multi-channel data acquisition system is connected to the PLC end, and the temperature, the current density, the voltage fluctuation, the plating solution concentration and the pH value key variables of the plating solution are monitored; a Bayesian optimization algorithm is adopted, electroplating process parameters are calculated based on historical data and real-time data, and an output control value of a PLC is dynamically adjusted; carrying out sampling analysis on the current consumption mode of each electroplating bath by adopting a PLC (Programmable Logic Controller), and establishing a power demand prediction model; current output is distributed through a dynamic power distribution algorithm, so that power consumption is kept in an optimal state; and in combination with a peak load reduction strategy, power supply is optimized in low load.

The invention discloses a mobile robot accurate docking method based on edge calculation, and aims to solve the problems that the dynamic docking precision is reduced and the collision risk is increased due to micro-motion or drifting of a target station. According to the method, unified time reference alignment is carried out on data of a camera, a laser radar, an inertial measurement unit, an ultra-wideband range finder, a station encoder and a programmable logic controller at an edge node, and a three-dimensional special Euclidean group equivariant multi-source fusion network is used for outputting relative pose estimation and covariance; the estimation in the time window is further used as a condition to be input into a conditional diffusion short-time prediction model to obtain a time-varying mean value and a time-varying covariance, an anisotropic probability tube is constructed, and prediction-measurement joint correction is carried out based on a score function; scenarized opportunity constraints are constructed under correction probability tube constraints, a tubular nonlinear model is adopted to predict, control and solve a reference trajectory, an actuator command is generated in combination with depth visual servo and compliance control, and the technical effects of high precision, robustness and safe docking under the station dynamic disturbance condition are achieved.

The utility model provides a flue gas treatment energy-saving system based on a PLC (Programmable Logic Controller), which solves the problems of high energy consumption and resource waste when the existing flue gas treatment energy-saving system is shared by a plurality of vulcanizing machines. Comprising a main induced draft fan and a flue gas pipeline used for conveying flue gas, the main induced draft fan is connected with the flue gas pipeline, and the main induced draft fan comprises a main induced draft fan frequency converter; the system further comprises a vulcanizing machine electric control cabinet and a PLC, the vulcanizing machine electric control cabinet is electrically connected with the input end of the PLC, and the output end of the PLC is electrically connected with the main induced draft fan frequency converter. The input end of the PLC is further electrically connected with a negative feedback adjusting module used for comparing data of the PLC. The device is widely applied to the technical field of flue gas treatment in the tire industry.

The invention provides a control data collection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the grouping of to-be-collected data point locations based on a point address and an address region, obtaining a plurality of point location groups, and obtaining a plurality of data collection point locations according to the point address and the reading offset of each to-be-collected data point location. Sorting the to-be-acquired data point locations in the plurality of point location groups from small to large according to the reading offsets, sequentially calculating the first communication byte number and the second communication byte number of each to-be-acquired data point location in the point location groups from front to back according to the sorting and based on the reading offsets, and partitioning the to-be-acquired data point locations into blocks, according to the method, the point location blocks are combined based on the number of block communication bytes to obtain a plurality of point location batches, a data acquisition request is sent to the controller based on the point location batches to acquire control data, and the technical problems of low communication efficiency and high delay of data acquisition for the programmable logic controller are solved through the method.

The invention discloses a power distribution room comprehensive safety monitoring alarm system and a fault prediction method.The alarm system comprises a data acquisition module, a programmable logic controller and a communication module, and the data acquisition module comprises a temperature and humidity sensor, a smoke sensor, a water sensor and a gas monitoring sensor; the programmable logic controller comprises a power supply module, an analog quantity input module, a calculation and storage module, an analog quantity output module, a contactor, an indicating lamp and a local area network, the communication module comprises a power distribution room monitoring center and a wireless communication device, and the data acquisition module, the programmable logic controller and the communication module are connected in sequence. The fault prediction method comprises the following steps of data acquisition and preprocessing, feature extraction, model training and fault prediction and preventive maintenance decision making. The power distribution room safety monitoring mode is comprehensive, the automation degree of alarm is improved, the inspection pressure of operation and maintenance personnel is shared, and emergency safety events can be prevented or handled.

The invention relates to the technical field of water pump production, in particular to a semi-automatic water pump assembly line. The production line comprises a stator feeding station, a wave spring mounting and oiling station, a rotor part press-fitting station, a rear cover press-fitting station, a screw locking station, a static ring press-fitting station, an impeller press-fitting station, an electric measurement station, a gas measurement station, a line body, a PLC (Programmable Logic Controller) general controller and an MES (Manufacturing Execution System), the stator feeding work station, the wave spring mounting and oiling work station, the rotor part press-fitting work station, the rear cover press-fitting work station, the screw locking work station, the static ring press-fitting work station, the impeller press-fitting work station, the electric measurement work station and the gas measurement work station are sequentially arranged in the conveying direction of the line body and are in butt joint with the line body, the PLC master controller is connected with the work stations and controls the work stations and the line body, and the MES system is connected with the PLC master controller. The assembly line can achieve semi-automatic production of water pumps, saves labor cost, reduces labor intensity of workers, improves production efficiency and improves the automation degree of enterprises.

The embodiment of the invention discloses a multi-task operation method and device, a storage medium and a computer program product. The method comprises the steps that a shared memory between different virtual programmable logic controllers (PLC) is created; accessing the shared memory according to an industrial control task execution sequence by utilizing PLC programs of different virtual PLCs, and executing data reading operation and / or data writing operation on the shared memory; wherein the PLC programs of different virtual PLCs are used for executing different industrial control tasks.

The embodiment of the invention provides a virtual platform simulation monitoring method and device, and the method comprises the steps: carrying out the signal analysis of a received programmable logic controller signal of an actual production line through a set code analysis model, obtaining a corresponding virtual signal table, building a motion track of a simulation model in simulation software according to the virtual signal table, and carrying out the simulation monitoring of a virtual platform. A simulation event is added to the key control node; outputting a virtual production line model in a 3D model file format, and issuing the virtual production line model and the message queue connection parameters to a webpage end; after a ready state signal of the webpage end is monitored, starting to send position information and state change information of a virtual production line model to a message queue service, so that the webpage end updates a corresponding model position and a model state after receiving the position information and the state change information; according to the invention, the automation and real-time interactivity of simulation monitoring of the virtual platform can be effectively improved.

The invention discloses a centrifugal system adaptive to bottom extraction, and relates to the technical field of solid-liquid separation, and the centrifugal system adaptive to bottom extraction is characterized by comprising a centrifugal machine main body, a rotating drum is arranged in the centrifugal machine main body, and a bottom extraction device is arranged at the bottom of the rotating drum; the dynamic sealing structure is arranged between the bottom extraction device and the rotary drum and used for keeping the sealing performance in the centrifugal process and preventing material leakage; the modular interface is connected with the bottom extraction device and the material collection container, so that quick replacement and adaptation to components of different specifications are facilitated; and the automatic control system comprises a sensor module, a PLC (Programmable Logic Controller) and a remote monitoring module, and is used for monitoring parameters including the rotating speed, the temperature and the pressure in the centrifugal process in real time and realizing automatic control.

The present disclosure relates to the technical field of water treatment, and provides a dosing control system in a water treatment process. The system comprises: a programmable logic controller configured to transmit current characteristic values of water inlet parameter characteristics and water outlet parameter characteristics collected by sensors to an edge gateway, and drive a camera to capture a floc image; the camera is configured to transmit the captured floc image to the edge gateway; the edge gateway is configured to obtain a dosing amount prediction value based on a preset dosing amount prediction model according to the water inlet parameter characteristics, the water outlet parameter characteristics and the floc image, and feed back the obtained dosing amount prediction value to the programmable logic controller; and the programmable logic controller is further configured to control the dosing pump to perform a dosing operation in the water treatment process according to the dosing amount prediction value. The present scheme can improve the dosing control efficiency of the water treatment process.