1956 results about "Programmable logic controller" patented technology

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 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 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.

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 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.

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 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 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.

An electrode sheet rolling and slitting system (10), comprising: a slitting mechanism (11), a pre-slitting detection mechanism (12), a plurality of post-slitting detection mechanisms (13), a conveying mechanism (14), an encoder (15), a programmable logic controller (16), and a marking mechanism (17). The pre-slitting detection mechanism is configured to perform surface defect detection on a first electrode sheet before slitting. The plurality of post-slitting detection mechanisms are configured to perform surface defect detection and tab area size measurement on a plurality of second electrode sheets after slitting; and the plurality of post-slitting detection mechanisms are in one-to-one correspondence with the plurality of second electrode sheets. The pre-slitting detection mechanism and the post-slitting detection mechanisms each comprise a macro camera (121, 131), a superordinate computer (122, 132), and an acquisition card unit (123, 133). Also provided is an electrode sheet rolling and slitting method. The system can obtain clear, fine and distortionless detection images, thereby accurately determining surface defects of electrode sheets.

The invention relates to the field of servo control, and particularly discloses a servo control method and system based on a programmable logic controller. The method comprises the following steps: the main control module and the shaft control module complete communication initialization through a high-speed bus, and load a standardized instruction library to generate an adaptive program segment; the digital twin engine collects data in real time to construct a virtual model, and when the deviation exceeds a threshold value, early warning is triggered; when a fault occurs, the feature parameters are matched with the fault gene pool to judge the type, and a maintenance work order is generated; and hot plug maintenance is supported, and parameters are quickly synchronized to recover operation after a new module is inserted. According to the technology, through modularization and intelligent integration, multi-axis flexible expansion is achieved, frequent hardware change is not needed, the maintenance process is optimized, faults are rapidly positioned, a main system is not interrupted, the whole process is traceable, meanwhile, system stability and control precision are guaranteed, and the flexible requirement of industrial multi-axis cooperation is met.

The invention belongs to the technical field of purification stations, and particularly discloses an automatic chemical feeding control device for a purification station, which comprises a concentrated chemical tank, a PLC (programmable logic controller), a water tank and a factory, the concentrated chemical tank is provided with a concentrated chemical pipe, the concentrated chemical pipe is provided with a diluted chemical tank, the diluted chemical tank is provided with a water pipe, the water pipe is communicated with the water tank, the diluted chemical tank is provided with a diluted chemical pipe, the diluted chemical pipe is provided with a reaction tank, and the reaction tank is provided with a sewage pipe. The reaction tank is provided with a water outlet pipe, the water outlet pipe is communicated with the plant, the thick pesticide pipe is provided with a pesticide spraying pump, the thin pesticide tank is provided with a liquid level meter, the thick pesticide pipe, the thin pesticide pipe and the water pipe are all provided with electric valves, the thin pesticide pipe is provided with four metering pumps and flow meters, and the sewage pipe and the water outlet pipe are both provided with turbidity meters; through cooperation of the PLC and the electrically operated valve, the proportion of concentrated chemicals and water and the dosage of added chemicals during sewage treatment are flexibly controlled, personal errors are reduced, and the stirring speed is increased through aeration stirring of the chemical liquid through the vacuum pump, so that the problems of personal errors and low stirring speed due to manual chemical adding of an existing purification station are solved.

Embodiments are directed to an advanced, modular, and scalable system integrating a Dissolved Gas Infusion (DGI) system and a Programmable Logic Controller (PLC) to automate and optimize processes such as water filtration, oxygenation, and waste management. The DGI system infuses high-purity oxygen directly into the water, maintaining optimal dissolved oxygen (DO) levels from the post-larvae stage to harvest, and significantly reducing oxygen wastage compared to traditional bubble aeration processes. The system includes modular raceways with load-bearing support beams, twist locks for secure stacking, and observation ports for easy access. This innovative approach ensures efficient, cost-effective, and reliable shrimp production, leading to higher survival rates, faster growth, and improved overall health of the shrimp.

Disclosed in the present application is an electrode sheet roll-pressing and cutting system and method. The system comprises: an encoder, detection mechanisms, a programmable logic controller and a marking mechanism. The detection mechanisms shoot images of an electrode sheet in the system on the basis of the frequency of a pulse signal output by the encoder. An upper computer determines a defect region of the electrode sheet on the basis of the N-th image of the electrode sheet shot by the detection mechanisms and, on the basis of the defect region, determines the number S of pulses that the programmable logic controller needs to await. When determining that the S pulses have been awaited, the programmable logic controller sends a marking instruction to the marking mechanism. The marking mechanism marks the defect region of the electrode sheet on the basis of the marking instruction. In addition, the upper computer is further used for identifying edges of a tab region image among the images shot by the detection mechanisms, and determining the size of a tab region on the basis of the edges. Thus, the present application can determine the defect region of the electrode sheet, accurately mark the defect region on the basis of the position of the defect region in the electrode sheet, and determine the size of the tab region of the electrode sheet.

A system may include a control system coupled to various network elements that define a drilling management network. The control system may include a programmable logic controller (PLC) that performs a drilling operation. The system may further include a virtualization services manager coupled to the control system and the network elements. The virtualization services manager may implement a virtualization service on the drilling management network that controls the drilling operation. The system may further include a virtual connection controller coupled to the network elements. The virtual connection controller may establish a virtual connection between the control system and a user network.

The invention relates to the technical field of air compressor regulation and control, particularly discloses an interstage pressure and temperature flexible control system of an oil-free screw air compressor, and aims to solve the problems that an existing system is fixed in interstage parameter, lagged in thermal inertia response, free of real-time control of compression efficiency, poor in load adaptability, prone to causing overtemperature potential safety hazards, insufficient in energy-saving potential and low in operation economy. The system comprises a first pneumatic adjusting module, a second pneumatic adjusting module, a temperature and pressure monitoring module, a PLC (Programmable Logic Controller) control module, a grading adjusting module and an opening adjusting module. Precise and flexible control over the pressure and temperature between the first stage and the second stage is achieved, then the problem that the minimum energy-saving rotating speed is limited due to the fact that the first-stage exhaust temperature is too high when the oil-free screw air compressor is loaded at the low rotating speed is solved, and the purposes that a unit operates safely at the lower rotating speed, and the energy-saving effect is further improved are achieved.

The invention discloses a multifunctional remote monitoring system for safe operation of chemical plant electrical equipment, which relates to the technical field of remote monitoring of chemical plant electrical equipment and comprises a data acquisition unit, an edge calculation unit, a self-adaptive communication unit, an intelligent diagnosis unit and a remote monitoring unit. The data acquisition unit is used for acquiring valve state, liquid level, temperature and pressure signals in real time; the edge computing unit is integrated in a programmable logic controller (PLC) and is used for data preprocessing and local analysis; the adaptive communication unit is used for optimizing the data transmission priority based on the existing industrial Ethernet protocol Profinet / EtherNet / IP; the intelligent diagnosis unit is used for equipment health state evaluation and fault prediction; the remote monitoring unit realizes visualization and remote control through an upper computer; the programmable logic controller PLC is AB 1756-L71 and is used for integrating an edge computing unit to complete tasks of data preprocessing and local analysis.

The invention discloses a single-hole cluster test method, device and equipment for cave depot water curtain holes and a storage medium, and relates to the technical field of underground engineering and water sealing.The method comprises the steps that a test instruction input by a user is received; when the test instruction is a single-hole water injection fallback test instruction, sending a single-hole water injection fallback test control signal to a programmable logic controller of the target water curtain hole through an OPC server so as to perform a single-hole water injection fallback test and collect first test data; when the test instruction is a water curtain effectiveness test instruction, water curtain effectiveness test control signals are sent to programmable logic controllers of all the water curtain holes through the OPC server, so that water curtain effectiveness tests are carried out on all the water curtain holes, and second test data are collected; and obtaining a test result according to the first test data and the second test data. According to the application, remote data acquisition and test control of the water curtain hole cluster can be realized without entering the cave depot by field personnel, and meanwhile, the test efficiency and the data accuracy are improved.

The invention relates to the technical field of safety rope processing, and discloses a quantitative cutting machine for safety rope processing and manufacturing, which comprises a workbench, a support shaft, a cutting mechanism, a transverse moving mechanism, an end clamping mechanism, an auxiliary blanking mechanism and a material receiving box, the support shaft is rotatably connected to the right end of the workbench, and a plurality of bosses are fixed on the support shaft; an anti-skid rubber sleeve is fixed to the outer side of the boss, the cutting mechanism is located on the left side of the supporting shaft and installed on the workbench, the end clamping mechanism is located on the left side of the cutting mechanism and connected with the transverse moving mechanism, and the transverse moving mechanism is installed on the workbench. Synchronous cutting of multiple safety ropes can be achieved through multiple bosses of the supporting shaft, multiple through grooves of the cutting mechanism and multiple positioning grooves of the end clamping mechanism, and efficiency is improved; the cutting length is accurately controlled by a laser distance measuring sensor and a PLC (Programmable Logic Controller); and after cutting, the end clamping mechanism loosens the rope, a pressing plate of the auxiliary discharging mechanism presses the rope downwards, and the rope falls into a collecting box through a discharging groove, so that materials are automatically collected, and manual operation is reduced.

The invention discloses an automatic die changing control system of a press machine. The automatic die changing control system comprises a programmable logic controller, electrical hardware electrically connected with the programmable logic controller and an execution component. The programmable logic controller is configured to achieve the control functions of sliding block die-filling height adjustment, balancer air pressure adjustment, die clamping device action, movable workbench operation and die identification number switching, and triggers at least two control functions to be executed in parallel in the die changing process. The programmable logic controller is connected with all electrical hardware and execution components through preset program logic so as to control starting, running and ending of the automatic die changing process in the whole process.

The invention belongs to the technical field of industrial automation and intelligent control, and particularly relates to an intelligent energy-saving method for a lifting pump room. According to the method, pressure, water flow, current and other sensors are deployed in a lifting pump room to collect data and the start-stop state of a pump set; based on a machine learning algorithm, an improved LSTM network is adopted to construct a water flow prediction model, and data in the past three years are obtained to predict the water flow in the next 24 hours. Secondly, aiming at mixed operation of a variable frequency pump and a power frequency pump, constructing a multi-target optimization scheduling model, considering energy consumption, start-stop cost and equipment balance, taking water flow and the minimum operation time of a single pump as constraints, and solving by using reinforcement learning to obtain the operation frequency and the number of pump sets; and finally, starting and stopping and frequency adjustment of the pump set are automatically controlled through the programmable logic controller. The method can solve the problems of adjustment lag, incapability of multi-pump collaborative optimization and the like in the traditional technology, and realizes the effects of saving energy, reducing consumption and prolonging the service life of equipment.

The invention relates to a super-large L-shaped high-sea-condition high-precision absorption type wave maker system and a wave simulation method.The wave maker system comprises a central control layer, an equipment control layer and an execution mechanism layer which are sequentially connected, and the central control layer is characterized in that a main control computer operates wave making control software; a target wave time calendar curve is generated, theoretical motion instructions needing to be executed by the wave making plates are synchronously deduced, the main PLC conducts format conversion and time sequence synchronization processing on the theoretical motion instructions, and wave making plate displacement curve instructions are generated and issued; the equipment control layer is used for calculating active absorption compensation from the PLC and generating a motor motion instruction; the executing mechanism layer comprises a super-large L-shaped wave making unit, a fan-shaped driving arm, a plurality of motors and other assemblies to execute wave making motion and feed back wave height information, and the motors drive the fan-shaped driving arm to drive a wave making plate to swing around a hinge assembly and drive the wave making plate to execute compensation action opposite to the phase of incident waves; high-sea-condition wave simulation and high-precision wave active absorption are realized, and a full-wave-direction test with navigational speed is supported.

The utility model discloses an electric igniter for continuously purifying raw gas of a test furnace, which is characterized in that an electric heating wire is pre-embedded in a silicon-based ceramic heating body of the electric igniter and is formed by hot pressing and sintering, a power supply module provides a working power supply for the electric heating wire, a temperature control chip detects the temperature of the silicon-based ceramic heating body in real time, and the output power of the electric heating wire is controlled through a power regulator. Setting a heating curve in the test furnace according to a production process, communicating the temperature control chip with a PLC (Programmable Logic Controller) of the test furnace, and reading the set heating curve of the test furnace; and controlling the silicon-based ceramic heating body to output different powers through a power regulator according to each stage of the heating curve, so as to ensure that the raw gas generated in each stage is ignited and purified. According to the electric igniter and the control method, the defects of traditional raw gas combustion treatment are overcome, external combustible gas does not need to be introduced, reliable combustion of the raw gas is ensured, the electric igniter can work in a high-temperature and high-corrosion smoke environment for a long time, the service life is prolonged, and the purpose of safely discharging the raw gas is achieved.

The utility model provides an oxygen injection control system based on dynamic environment variable compensation, and aims to solve the non-linear problem of oxygen content control under environment variable disturbance. Comprising a main oxygen spraying pipeline, an oxygen supplementing pipeline connected with the main oxygen spraying pipeline in parallel, a PLC (Programmable Logic Controller) and a PID (Proportion Integration Differentiation) controller which are respectively connected with the main oxygen spraying pipeline and the oxygen supplementing pipeline and are used for controlling the main oxygen spraying pipeline and the oxygen supplementing pipeline, and an oxygen content measuring pipeline which is in communication connection with the PID controller, the oxygen control system selectively controls the main oxygen spraying pipeline and / or the oxygen supplementing pipeline to be opened or closed.

A system for event-driven distributed data network analysis, the system includes: a multitude of domain data nodes, each comprising a stream storage, a multitude of transformation pods, and a product API, with each domain data node ingesting heterogeneous event streams, validating schema compliance, performing enrichments, and making data products available under versioned schema contracts; each domain data node further comprises a hardware-based edge intelligence appliance comprising an enclosure, a compute module with heterogeneous processing units selected from CPUs, GPUs, and TPUs, a secure enclave module for confidential execution of transformation code on encrypted data, a protocol-structured stream storage medium supporting multi-level retention, and industrial I / O interfaces configured for direct interaction with sensors, programmable logic controllers, and cloud-native services; an event mesh backbone processor configured to connect the multitude of domain data nodes via a publish-subscribe architecture, with the backbone guaranteeing exactly one-time delivery, partition-level sorting, and geo-replicated durability; a Contextual Intelligence Engine coupled with the Event Mesh Backbone processor, the engine comprising a semantic graph memory and a Streaming Graph Reasoner configured to map raw events into an ontology, perform graph joins in real time, and recognize composite causal patterns across multiple domain data nodes; a governance and policy control unit integrated into both the data and control layers. This layer enforces zero-trust security, role-based access control, real-time provenance tracking, and regulatory compliance; and An actuation interface coupled with the contextual intelligence engine and the governance layer. The actuation interface is configured to generate control commands for operational technology devices and digital workflows, thus closing the loop from data acquisition to autonomous decision-making.

The invention discloses a thermosetting mold pressing mold and a temperature and pressure control system, which comprise an upper mold and a lower mold, and are characterized in that according to cavities, runners and sprue structures of the upper mold and the lower mold, lower molds matched with the cavities, the runners and the sprue structures are respectively and independently arranged in the upper mold and the lower mold; embedded electric heating tubes are arranged in the lower dies, temperature sensors are arranged at the ends of the embedded electric heating tubes, pressure sensors are arranged on the lower dies, and the programmable logic controller is electrically connected with the multiple embedded electric heating tubes, the multiple temperature sensors and the multiple pressure sensors; and the data storage module is connected with the programmable logic controller and is used for storing a plurality of temperature-pressure data pairs preset for each feature structure, and each temperature-pressure data pair defines a target temperature value and a target pressure value corresponding to the feature structure under a specific stage or pressure condition in the mold pressing process.

The invention discloses a sheep weight and size measuring system and method, and relates to the technical field of animal husbandry breeding intelligent management. Firstly, the invention discloses a sheep weight and body size measuring system, which comprises a PLC (Programmable Logic Controller), a computer, a channel module, a blocking module, an identity recognition module, an entrance module, an image acquisition module, a weighing module and a grouping module, wherein the PLC is in communication connection with the computer. Secondly, the invention discloses a method for measuring the weight and the body size of the sheep, and the method comprises the following steps: S1, driving the sheep into a guide channel at the entrance of the system, and arranging a queue; and S2, a worker starts a blocking module to communicate the recognition channel with the guide channel, and after the first sheep enters the recognition channel, the blocking module is started again to block the space between the recognition channel and the guide channel and block the next sheep. The device has the advantages of automation, high precision and non-contact, so that personal errors and sheep stress are reduced, and the working efficiency is improved.

The invention relates to a hot update control method and system for an industrial PLC (Programmable Logic Controller) of a microkernel operating system, belonging to the field of industrial controllers. A shadow instance is created by an isolated address space and is bound with a shadow I / O (Input / Output) mirror image and a shadow communication stack; capturing a containment point in the scanning period, wherein the containment point is located between input sampling completion and output submission; acquiring running state information from the current network instance, converting the running state information, and transmitting the converted running state information to the shadow instance; pre-operating the shadow instance in the isolation channel in an accelerated or constant-speed manner, and switching the I / O channel from the current network instance to a shadow I / O mirror image of the shadow instance at the next restraint point if the verification is passed; and continuing to run in parallel for a certain period, unloading the old instance if the continuous running is qualified, and executing rollback if an exception occurs. Depending on a microkernel operating system, shadow instances are drilled and switched under the controlled priority, the real-time performance and certainty are met, the time delay defect of periodic gap switching is overcome, and updating and switching are completed in a single scanning period or a plurality of scanning periods in an atomic mode.

The invention discloses a mold life cycle management method and system based on an RFID (Radio Frequency Identification) technology, relates to the field of mold management, and in particular relates to a method and system for realizing whole-process management of a mold life cycle based on data acquisition and analysis of RFID and PLC (Programmable Logic Controller) equipment collaboration. The method comprises the following management steps: step 1, initializing mold information and binding the mold information with an RFID (Radio Frequency Identification Device); step 2, RFID reader-writer deployment and station identification are carried out; 3, mold state sensing and data filtering; 4, collecting data used in the production process; 5, RFID and PLC data fusion verification is carried out; step 6, uploading the data to the cloud and a life cycle management platform; and 7, automatically judging the state of the mold and outputting management suggestions. The problems of low recognition efficiency, inaccurate state tracking, lack of life cycle management and the like in the existing mold management process are solved, and real-time sensing, automatic statistics, state judgment, visual display and intelligent decision support of the mold in the whole life cycle are realized, so that the efficiency, accuracy and intelligent level of mold management are improved.