748 results about "Program control" patented technology

The invention relates to the technical field of program control systems, in particular to a pentahedron machining center precision calibration method and system based on multi-sensor fusion, and the method comprises the steps: a sensor system construction and calibration module is used for field calibration, drift correction and redundancy deployment to ensure data precision, and achieves the whole-course traceability of a calibration process through a block chain technology; the multi-source data preprocessing and fusion module is used for time-space synchronization of heterogeneous data and dynamic fusion of multi-source information; the intelligent modeling and state prediction module is used for performing real-time and multi-task prediction on key states such as tool wear and thermal deformation; based on the prediction result, the adaptive compensation and path optimization module is used for dynamically optimizing the tool path; meanwhile, through an online learning mechanism, the calibration model is continuously updated by utilizing a processing result; the distributed cooperative control module executes data processing and calibration algorithms locally and makes a cooperative decision with a numerical control system, and low-delay and intelligent response to machining abnormity is achieved.

The invention relates to the technical field of program control, in particular to a servo position control method and system applied to an engraving and milling machine. The method comprises the following steps that real-time temperature data and real-time load data of lead screws of all shafts in the engraving and milling machine are obtained; collecting multi-node temperature distribution data of the engraving and milling machine; obtaining cutting force data and resonant frequency characteristic values in the engraving and milling machine; constructing a screw rod reverse clearance prediction model based on the real-time temperature data and the real-time load data of the screw rod, and generating a clearance compensation value; performing pre-compensation control before the servo position direction of each axis is changed based on the clearance compensation value to obtain a correction position instruction; and performing thermal deformation simulation on the engraving and milling machine based on the multi-node temperature distribution data to generate thermal deformation compensation amounts of all shafts. Through multi-source data fusion and intelligent control, comprehensive optimization of the servo position system of the engraving and milling machine is achieved, the machining precision, dynamic response and stability are effectively improved, and efficient and reliable operation of high-speed and high-precision machining is guaranteed.

The invention discloses a man-machine exoskeleton cooperation method based on multi-modal signal fusion, and relates to the technical field of exoskeleton program control. The method comprises the following steps that man-machine exoskeleton driving pre-pressure cold and hot mutation analysis is conducted in combination with man-machine exoskeleton man-machine cooperation components; and performing memory alloy spring pre-pressure optimization adjustment in combination with a man-machine exoskeleton driving pre-pressure cold and hot mutation analysis result. According to the invention, cold chain exoskeleton cooperative control is realized through multi-mode signal fusion, and three-level regulation and control are implemented based on a current threshold value and a myoelectricity state: graded current rising / falling and safety early warning are carried out in case of abnormal current; dynamic gain compensation or joint retardation protection is carried out when myoelectricity is abnormal; according to the man-machine exoskeleton cooperative control method and the man-machine exoskeleton cooperative control system, the effect of improving the accuracy of man-machine exoskeleton cooperative control for coping with cold-chain logistics is achieved, and the problem that the accuracy of man-machine exoskeleton cooperative control for coping with cold-chain logistics is disabled in the prior art is solved.

The invention discloses an integrated machine room operation and maintenance management system, which relates to the field of information technology management and comprises a plurality of modules such as a distributed data acquisition module, a heterogeneous equipment adaptation module and a standardized communication interface module. The system realizes module cooperation through a two-way synchronous lock mechanism and an intelligent load sensing mechanism; the distributed acquisition module realizes millisecond-level high-precision data synchronization by using an ultra wide band and millimeter wave combined sensing technology; the heterogeneous equipment module eliminates communication compatibility obstacles; the standardized communication module is fused with an optical fiber and a dynamic arbitration mechanism to realize microsecond-level low-delay communication; the resource virtualization module supports unified abstraction and low-delay scheduling of physical resources; the expansion module can complete new node integration within three seconds; the fault-tolerant module can early warn faults ten minutes in advance and realize quick recovery; the intelligent decision-making module optimizes an operation and maintenance strategy based on edge reinforcement learning; and the interaction module supports multi-terminal state reproduction and programming control. The method has the beneficial effects that automation, intelligence and reliability levels of machine room operation and maintenance are improved.

The invention relates to the technical field of program control, and discloses a high-activity selenium yeast intelligent production control system based on gradient feeding monitoring. The system comprises a data acquisition module, a control parameter acquisition module, a gradient calculation module, an intelligent control module and a material supplementing control module. The system collects process production data, extracts key control parameters and weights, calculates real-time gradient values of the parameters, forms six-dimensional gradient vectors, generates control gradient indexes in combination with the parameter weights and time sequence attenuation weights, and then forms an addition control decision. And according to the decision and the process state dynamic data, the material supplementing opportunity is identified, an active adding instruction is generated, programmed control and adjustment of the raw materials and the additives are achieved, and the control precision and the production automation level are improved.

The invention relates to the technical field of program control, in particular to a precise powder supply control system, which is characterized in that multi-cycle differential processing of a rotating speed fluctuation ratio of a spiral feeder is performed on multiple key parameters such as a powder batch particle size value, a batch density value, an accumulated discharging amount and a feeding cycle; abnormal fluctuation numbers are extracted in different periods and combined according to the abnormal fluctuation numbers to generate a feeding feature set, a fuzzy neural network is utilized to improve the fitting precision of a discharging rate change trend under a nonlinear condition, the screening capability of extreme value interference is improved, a fluctuation difference value sequence is associated with symbol consistency and a density mean value, and the accuracy of the fluctuation difference value sequence is improved. Analyzing the variation trend of the discharge deviation in the symbol direction and the numerical slope, matching the numbers to establish a feed deviation grade section sequence, adopting a generative adversarial network to construct a target and actual discharge quantity difference value sequence, dividing symbol consistent sections, extracting the coupling trend of the fluctuation slope and the average density value, and obtaining a target discharge quantity difference value sequence; and misjudgment caused by deviation mode covering is avoided.

The invention belongs to the technical field of high-temperature experimental equipment, and discloses an integrated intelligent program control and multiple safety protection experimental box-type resistance furnace which comprises a furnace body, a sensor suite and a controller, the controller runs an intelligent control program based on neural network model predictive control, namely NN-MPC, and the intelligent control program is connected with the sensor suite. The method is used for realizing accurate tracking of a complex temperature control curve and optimization of energy consumption. Meanwhile, the controller also runs an active health management program based on prediction and health management, namely PHM, and the program predicts the residual service life, namely RUL, by monitoring health indexes such as resistance of the heating element in real time, so that early warning and predictive maintenance of faults are realized; the health state information of the PHM module is fed back to the NN-MPC module in real time, so that the control system can adapt to aging of the equipment, and the control performance, the energy efficiency, the operation reliability and the overall safety of the equipment are remarkably improved.

The invention relates to the technical field of deep hole machining, and provides a multi-axis linkage machining system for drilling and milling the inner wall of a deep hole, which adopts a linear motion device to directly drive a cutter support module, omits a lead screw and other intermediate transmission links, shortens the non-cutting time, has high positioning precision, can improve the machining efficiency, and has lower operation noise and vibration. The processing environment can be improved; according to the workpiece clamping device, a second hollow rotating platform is connected with a chuck, the chuck clamps the workpiece, through program control, the second hollow rotating platform can drive the workpiece on the chuck to rotate and position at any angle, and the requirement for machining the workpiece by a drilling and milling cutter module is met; the problems of time waste, positioning errors and the like caused by secondary clamping are avoided, and the workpiece machining efficiency is improved; a tool bit of the drilling tool module is fed by adopting a variable-diameter structure (a tool bit feeding assembly), and drilling and milling can be carried out on the inner walls of deep hole type workpieces with complex inner hole shapes such as bottleneck holes and stepped holes.

The invention discloses a cooperative control and dynamic resource scheduling method and system for a smart park, and relates to the technical field of program control. According to the method, the heterogeneous sensor network is deployed, and multi-source data is subjected to denoising, feature extraction and classified transmission; constructing a digital twinborn model, embedding equipment physical law constraints, optimizing the learning rate of an RCN prediction network in combination with historical data and a bee colony algorithm, and realizing high-precision state prediction; when the real-time data or the predicted data exceeds a threshold value, triggering global scheduling, generating an initial allocation scheme by using an improved contract network protocol, and generating a Pareto optimal scheme set of comprehensive cost, equipment utilization rate and service delay through a pea population algorithm; verifying the feasibility of the scheme based on digital twinning simulation, and dynamically distributing conflict resources by adopting virtual auction; the network load is reduced, the prediction progress is improved, the equipment load peak-valley difference is compressed, and the park resource scheduling efficiency is improved.

The invention relates to the technical field of program control, and discloses a femtosecond laser process parameter self-optimization method and system, and the method comprises the steps: carrying out the image reconstruction of real-time three-dimensional shape data, and obtaining a real-time ablation contour image; performing morphological feature deconstruction on the real-time ablation contour image to obtain a contour feature parameter set; performing deviation quantitative analysis on parameters in the contour feature parameter set and a standard feature threshold range to obtain a deviation feature vector; performing compensation strategy addressing on a preset process parameter adjustment rule base to obtain a preliminary compensation parameter combination; virtual machining track planning is carried out on the machined area, ablation morphology deduction is carried out on the planned track, and a fitting verification result is obtained; when a fitting verification result meets a convergence condition, performing parameter solidification packaging on the initial compensation parameter combination to obtain a final compensation parameter; according to the method, the self-optimization efficiency of the femtosecond laser process parameters can be improved.

The invention relates to the technical field of converters, in particular to a three-phase converter control method and system, a medium and equipment. The method comprises the steps that a main processor transmits sampling original data of a three-phase converter to a first storage area; the coprocessor reads the sampled original data, performs operation to obtain operation result data, and transmits the operation result data to the second storage area; the coprocessor runs at a period higher than the preset control frequency of the main processor, and immediately triggers the operation of the sampled original data after completing the collection of the sampled original data; the main processor performs control loop calculation, reads the operation result data when the newest operation result data is needed, and loads the newest operation result data for updating operation; the main processor runs the control program at the preset control frequency, and the control program triggering time is set in a minimum allowable time window before the control output quantity loading moment. Through the above arrangement, real-time sampling is effectively realized, CPU load is optimized, and the control performance of the converter is improved.

The embodiment of the invention provides a program control flow protection method and device based on a shadow stack and computer equipment, and the method comprises the steps that in response to a current calling instruction, at least a return address corresponding to the current calling instruction and a verification value in a verification register are written into the shadow stack, the verification value in the verification register is determined at least based on the return address of the write shadow stack corresponding to the previous call instruction and the verification value; and determining an updated verification value at least based on the return address of the write shadow stack corresponding to the current call instruction and the verification value, and writing the updated verification value into the verification register so as to verify whether the program control flow is normal or not when a current return instruction corresponding to the current call instruction is executed. According to the embodiment of the invention, the protection performance of the program control flow based on the shadow stack can be improved, so that the security of a computer execution program is improved.

The invention relates to the technical field of program control, in particular to a reamer machining path intelligent optimization method and system based on artificial intelligence, and the method comprises the following steps: collecting a reamer main shaft load torque and a Z-axis feed current in the process that a reamer cuts into a workpiece, and generating a reaming contact area resistance characterization quantity; and mapping the resistance characterization quantity of the reaming contact area to generate a hardness distribution characteristic value of the workpiece material. According to the method, differential operation is carried out on a generated nonlinear track, the acceleration change rate of the nonlinear track is extracted, the dynamic complexity of a motion state is quantitatively evaluated, the dynamic complexity is combined with a contour error predicted by AI, a dynamically weighted feed-forward compensation amount is formed, and when a motion instruction is complex and the system following capability faces challenges, the compensation effect is enhanced; according to the predictive compensation mechanism, active suppression can be carried out before the servo error actually occurs, and the contour tracking precision of a complex nonlinear instruction is improved.

Efficient replacement of software breakpoint instructions in a processor-based device is disclosed. In regard to this, in one exemplary embodiment, a processor-based device is provided. The processor-based device includes a system memory and a processor. The processor includes a breakpoint slip register (BSR) configured to store instructions of a software process that are replaced in system memory by a software breakpoint instruction, and the processor further includes a breakpoint slip enable (BSE) indicator. The processor is configured to execute the software breakpoint instruction during execution of a software process. The processor is further configured to, in response to executing the software breakpoint instruction, transfer program control to the debugger. The processor is further configured to determine that the BSE indicator is set after the program control is returned from the debugger. Further, the processor is configured to, in response to determining that the BSE indicator is set, execute the instructions stored in the BSR.

The invention discloses a test case automatic generation method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-tested program; analyzing the to-be-tested program to generate an initial population; determining a fitness function; performing iterative optimization on the initial population based on the fitness function to obtain an optimal individual; and taking the optimal individual as a target test case for the to-be-tested program. According to the technical scheme, the boundary value use case generated based on the program control flow diagram is fused with the candidate use case to generate the initial population, the coverage rate of critical paths in the population can be effectively increased, the proportion of redundant use cases can be effectively reduced, and under the same test target, the scale of the use case set is reduced, and the test execution time is shortened. The hierarchical fitness function design reduces the proportion of high-time-consumption operation cases and improves the test efficiency. All stages of operation of the genetic algorithm are combined with all stages of operation of the artificial bee colony algorithm, and algorithm efficiency is improved.

The invention relates to the technical field of audio program control, and discloses a software control method, system and equipment based on plug-in DSP audio. The software control method is applied to the electronic equipment and specifically comprises the following steps: S101, receiving a definition request of a base class PluginBase, requesting to define the base class PluginBase of an abstract plug-in and declaring a plug-in characteristic parameter method, inheriting the PluginBase and realizing an abstract method of the PluginBase when a specific audio plug-in is developed, compiling each plug-in into an independent DLL (Dynamic Link Library), and by adding a [ExportAttribute] characteristic to the main interface class of the plug-in, marking the main interface class of the plug-in as an export module, and completing plug-in function packaging. The invention provides a plug-in type DSP audio control application architecture thought, so that different DSP audio control software is integrated on a software platform, a new equipment control software module can be subsequently used as a plug-in and integrated on the software platform, the effect that all equipment of one set of software is controllable is achieved, and the software expansibility is good.

The complete welding tool comprises a bottom plate, brackets are fixed to the upper end face of the bottom plate in a bilateral symmetry mode, the fire extinguisher cylinder is placed on the brackets, a lower end socket is arranged on the left side of the fire extinguisher cylinder, and a lower end socket is arranged on the right side of the lower end socket. An upper sealing head is arranged on the right side of the fire extinguisher cylinder, and fixing plates are further fixed to the bottom plate in a bilateral symmetry mode. According to the complete-set welding tool for accurate alignment of the fire extinguisher end socket and the barrel, by arranging the rotating disc with the multiple sets of first positioning sleeves and second positioning sleeves of different sizes and conducting indexing rotation through the first motor, rapid switching of an upper end socket positioning tool and a lower end socket positioning tool is achieved, and an operator only needs to control the motor to rotate through a program; and the adaptability of equipment to production of fire extinguishers of different specifications is greatly improved, the model changing speed is high, and the production efficiency is greatly improved.

The invention relates to an unmanned aerial vehicle cluster task dynamic recombination system and method. The system comprises a task control program, a module engine, a program API interface, a task upgrading program, an ROS2 data distribution service and a plurality of task modules. The task control program controls the starting, stopping and running state monitoring function of each module, the module engine is responsible for managing the starting, stopping and running states of the modules, the program API interface is responsible for receiving an external task upgrading request or task configuration request, the task upgrading program receives a platform external request, and the module engine is responsible for managing the starting, stopping and running states of the modules. The upgrade package information is sent to a program API interface of the task control program, the task module is a specific task processing unit, and the ROS2 data distribution service is used for realizing data interaction among the task modules. The problem that an unmanned aerial vehicle cluster system lacks the capability of performing dynamic adjustment according to actual conditions in the task execution process is solved, the flexibility, expandability and task execution efficiency of the system are remarkably improved, and effective application in a complex task environment is achieved.

The invention discloses an experimental device and an experimental method for gas / dust explosion flame-shock wave superposition coupling effect and combustible medium explosion transition induced by gas / dust explosion flame-shock wave superposition coupling effect under multi-parameter influence. Comprising a visual explosion system, a gas leakage diffusion system, a powder leakage diffusion system, an ignition system, a gas supply system, a powder spraying system, a discharge system, a displacement regulation and control system, a data acquisition system, a synchronous controller and a program control and data acquisition system. According to the experimental device and the experimental method for the gas / dust burning flame-shock wave superposition coupling effect under the influence of the multiple parameters and the induced combustible medium burning explosion transition thereof, the action processes of mutual impact, superposition, coupling and the like of detonation / detonation head-on flame-shock wave under the multiple working condition parameters can be realized; and the experimental study on the process of inducing the leakage diffusion combustible medium explosion transition and the critical condition thereof fills the technical blank of the study on the explosion flame-shock wave coupling effect process and the secondary disaster evolution mechanism induced under the influence of multiple parameters.

An on-line program control excitation power supply with quench protection for a high-temperature superconducting magnet comprises a single-chip microcomputer for receiving control data, outputting control voltage through digital-to-analog conversion (DAC) of the single-chip microcomputer, and magnetizing a magnet coil through current stepping; a sampling signal is output to the liquid crystal screen to display corresponding voltage and current values in real time after being processed by the single-chip microcomputer analog-to-digital conversion ADC; voltage signals at the two ends of the magnet coil are sampled and returned to the single-chip microcomputer to be processed, when high voltage occurs, it is judged that the voltage signals are abnormal voltage signals, quench protection is carried out, the single-chip microcomputer outputs control signals to cut off connection between the magnet coil and the excitation power source, and residual energy of the magnet coil is released through the high-power thyristor. The provided excitation power supply has the characteristics of high power, high stability, good repeatability and good linearity; performing numerical control stepping output, gradually applying current to the superconducting coil, and slowly establishing a magnetic field; effective quench protection is achieved, and it is guaranteed that a magnet coil is not damaged by quench.

The invention relates to the technical field of program control systems, in particular to a kitchen waste pretreatment spraying deodorization regulation and control method based on multi-mode sensing fusion, which comprises the following steps: acquiring multi-sensing data containing odor concentration in a plurality of sub-control areas; calling a working condition identification program to determine a current preprocessing state; and the control system calls matched spraying control parameters from a control strategy library according to the current state, executes an overall spraying control program and obtains control feedback data. When the feedback data meet preset local control conditions, local or linkage spraying control is executed according to program logic; and in combination with multiple control feedback results, updating a control parameter combination. According to the invention, on the basis of'integral-local-integral 'multi-region cooperative control, comprehensive inhibition of peculiar smell spatial diffusion in the whole kitchen waste pretreatment process and optimal configuration of deodorant and energy consumption are realized.

An industrial integrated development environment (IDE) supports decoupled development of industrial control programs without requiring the programs to be initially bound to a specific industrial controller. The IDE system allows industrial control programs to be defined as smart objects within an industrial control project. These smart objects can be created without an initial binding to an industrial controller, and can subsequently be assigned to selected industrial controllers after development of the control programs is complete, or while program development is in progress. A smart object can be reused and deployed to multiple industrial controllers, providing a simple means to implement common control functionality on multiple different automation systems. To allow for deployment of smart objects to selected controllers, the IDE system supports creation of a control project having a one-to-many relationship with industrial controllers, such that multiple controllers can be defined within a single project.

The invention relates to a computer control behavior category identification method and a medium, and relates to the technical field of computer control. The method comprises the following steps: identifying a current computer control parameter, and comparing the computer control parameter with a corresponding reference threshold value, so as to identify whether the current computer control behavior type is a biological control behavior type or a program control behavior type, the computer control parameters comprise any one or more of a curvature fluctuation value, a speed fluctuation rate, a target offset rate and a random pause rate of a mouse moving track. Therefore, the biological control behavior and the program control behavior of the computer are identified, so that the program control can be stopped based on the judgment result under the condition that the control right needs to be given to people preferentially, and the influence on the operation behavior of the people is avoided.

The invention discloses a modeling method for a transition area microstructure of a dual-performance turbine disc of an aero-engine. The method comprises the following steps: carrying out EBSD analysis and post-treatment on a microstructure of a transition region to obtain the area ratio and orientation distribution of a coarse grain structure and a fine grain structure in the transition region; open source Dream.3D software is used for inputting orientation distribution and corresponding area proportions of all the parts in a program control coarse grain part and a program control fine grain part respectively, and meanwhile by inputting strengthening phase structure size distribution and the area proportions, corresponding strengthening phases can be inserted in grain boundary parts; and a Python script is operated through ABAQUS finite element analysis software to carry out material attribute endowing on the model, so that the modeling process is completed. According to the method, modeling of the microstructure of the transition area of the dual-performance disc and modeling of microstructures of different parts of the transition area are achieved, and the strengthening phase structure is inserted into the grain boundary part, so that the real morphology of the microstructure of the alloy is better met.

An adaptive test generation system based on varying mastery levels of the user on educational standards to guide and constrain an AI engine in selecting educational standards for adaptive testing and updating user mastery levels based on real-time responses is disclosed. The method involves receiving a list of eligible standards, the user's knowledge graph, and dependencies between standards. A prompt is generated to direct AI engine in choosing the next educational standard for questioning. The AI engine selects a standard based on current knowledge graph and previous user responses, presents a question, and receives the user's answer. The knowledge graph is updated to reflect user's mastery levels of related standards. The AI engine then selects next standard, considering the updated knowledge graph and interdependencies among standards. This iterative process determines difficulty of subsequent questions and continues until the adaptive test concludes, based on the states of the educational standards involved.

An information processing apparatus includes: an internal storage configured to store one or more programs; a controller configured to execute the one or more programs; and an interface configured to receive information from an external storage containing a whitelist. The whitelist includes determination information indicating whether to allow the controller to execute each of the one or more programs. The controller is configured to acquire the whitelist from the external storage through the interface, verify an integrity of the acquired whitelist, and in response to a determination that the acquired whitelist is complete, store the acquired whitelist in the internal storage as an active whitelist to be used for determining whether to allow the controller to execute each of the one or more programs stored in the internal storage.

The invention belongs to the technical field of embedded system information security, and particularly discloses a program control flow protection system and method based on stack data confidentiality and integrity. According to the method, the key stream is generated and managed during memory access of the special hardware for micro-architecture level design, and quick encryption and decryption calculation of the stack key data is realized through the exclusive-or operation of the key stream and the stack data. The stack data confidentiality protection supports the burst transmission property of an AHB-Lite bus on which stack data transmission depends, and the execution overhead of a program control flow protection method is reduced; on the basis of data encryption, MAC codes are calculated and verified when stack data are written in and read out based on a stack data integrity verification architecture of the MAC codes, real-time detection of tampering of stack key data is achieved, and program control flow abnormity is found in time. Through parallel encryption and decryption and integrity verification of the stack data, protection of the program control flow is realized from the aspect of stack data protection.

The invention relates to the technical field of program control spraying, in particular to a control method and system for a TC bearing spraying robot. According to the control method and system for the TC bearing spraying robot, through a non-dominated sorting genetic algorithm, the path length, the direction included angle and the coating uniformity between nodes are calculated, selection of a spraying path is optimized, scheduling optimization is conducted on spraying tasks through an ant colony algorithm, and the spraying efficiency is improved. The time interval and angle change between the path sections are calculated, sorting is performed according to the dependency relationship between the paths, the parallelism in the spraying process is further optimized, the spraying time is shortened, the production efficiency is improved, through scheduling optimization, the spraying task can be completed in the shortest time, the precision and efficiency of automatic control are improved, and the product quality is improved. The close combination of the path planning and the task scheduling ensures the process parameters, can accurately match each path section, further improves the uniformity and consistency of the coating, reduces the material waste, and improves the stability of the spraying quality.

The invention discloses a general game development engine system based on OpenGL (Open Graphics Library). The general game development engine system comprises an application program control module and an application program module, the application program module comprises an input processing module, a terrain module, a game AI module, a GUI graphical interface module and a rendering output module; the control module is used for initializing an OpenGL environment and calling a terrain in the program module, and the GUI module is used for initializing game pictures; calling an input processing module to obtain input data of a user, and calling a game AI module to perform interaction between the user and a game picture; updating data of the terrain, the GUI, the sound effect and the game AI module; a rendering output module is called to form a specific game picture and render the game picture, a game cycle of initialization-data updating-picture rendering is constructed, and a complete game cycle is formed; the 3D / 2D game engine framework based on the OpenGL is created by integrally designing components and modules necessary for a general game engine, and a game project is quickly constructed.

The invention relates to the technical field of industrial control systems, in particular to an intelligent control system and method for a capacitive touch screen assembly production line, and the method comprises the steps: obtaining multi-source operation parameters in the capacitive touch screen assembly production line; calling an edge-deployed program control processing unit to carry out programmed processing on the multi-source operation parameters, and extracting operation characteristics in the operation process of the production line through program control logic with time sequence analysis capability; dynamically adjusting the length of the sliding window and a running state judgment threshold value, and generating standardized control input data; constructing a multi-source parameter weighting method based on a gating unit, and dynamically calculating a weight ratio of various sensor data in a control decision according to an association relationship among real-time operation parameters; identifying the operation condition of the production line equipment through an embedded sequential operation state judgment method; and executing production line control response early warning. The invention aims to improve the operation stability and intelligent level of the production line and meet the industrial automation control requirement.