167 results about "Control delay" patented technology

The invention discloses a rolled piece temperature control system based on a steel rolling process, which relates to the technical field of steel rolling and comprises a detection module, a control module, an execution module and a cooling module, the detection module comprises infrared thermometer arrays, an ultrasonic thickness gauge, an electromagnetic flowmeter, a pressure transmitter and a thermal resistance thermometer, and the infrared thermometer arrays are used for being arranged in front of and behind a cooling section and respectively collecting initial temperatures before entering a cooling system. Through the self-adaptive PID algorithm, the finite difference heat conduction model and the Smith pre-estimation compensation strategy are combined, the problem of control delay caused by the large lag characteristic in the cooling process is solved, control parameters can be dynamically adjusted according to the rolling speed, the steel grade characteristic and the like, temperature adjustment better fits the actual working condition, and the control precision is improved. The phenomenon of supercooling or insufficient cooling in a traditional control mode is fundamentally avoided, and the uniformity and stability of the performance of rolled pieces are guaranteed.

The invention provides a delay compensation control method for a double-vibrator wave energy conversion device, which comprises the following steps of: performing numerical modeling and hydrodynamic analysis on the double-vibrator wave energy conversion device, establishing a time domain motion equation of the double-vibrator wave energy conversion device, and introducing a time delay function into the time domain motion equation to simulate control signal transmission delay; simulating the execution delay of the brake by using a partial differential equation; establishing a state-space equation of the device, replacing a convolution term of the time-domain motion equation with the state-space equation, and calculating to obtain a motion state of the device; a Hamiltonian function is defined to convert a constrained optimization problem into an unconstrained optimization problem, and the Hamiltonian function is solved to obtain an optimal control criterion considering control delay so as to realize maximization of energy capture under the optimal control criterion. According to the method, the operation characteristics of a physical system are truly reflected by introducing control delay, so that the locking control method is effectively implemented in an actual physical device, and the energy capture efficiency of a wave energy conversion device and the reliability of system operation are effectively improved.

The invention discloses a hybrid power vehicle collaborative thermal management method and system based on energy flow intelligent perception. The method comprises the following steps: sensing and predicting multi-dimensional energy flow characteristics of an engine in real time through a pre-trained time sequence neural network model; the predicted value is used as a feedforward signal, real-time temperature feedback of the power battery is combined, and a thermal management cooperative control instruction is generated through feedforward-feedback cooperative decision logic; and finally, a heat exchange path between the engine cooling system and the battery heat management system and respective execution mechanisms are dynamically adjusted, so that prospective active cooperative temperature control is realized. The problems of passive response, control delay and low energy efficiency of an existing thermal management system are solved, and accurate and efficient two-way optimization management of the thermal states of the engine and the battery is achieved.

The invention relates to the technical field of intelligent control, and discloses a multi-agent consistency detection system, which effectively improves the cooperative control capability of a multi-agent system in a dynamic environment. A real-time topology updating mechanism guarantees rapid convergence when a network structure changes, a prediction compensation module significantly reduces control delay caused by environmental interference, and a multi-dimensional health monitoring system improves the accuracy and efficiency of fault recovery. Functional decoupling is achieved through the modular design, system expansion and maintenance are facilitated, autonomous adjustment and optimization of a recovery strategy are achieved through a strategy optimization mechanism driven by reinforcement learning, the fault recovery time is shortened, and the success rate is increased. A secondary health verification mechanism ensures effectiveness of recovery operation, and secondary faults caused by continuous operation of the system in an incomplete recovery state are avoided.

The invention provides an intelligent control method and system for pressure of a gas collecting pipe of a coke oven, and particularly relates to the technical field of automatic control of the coking production process. According to the method, a coke oven gas collector pressure measured value and an air blower rear pressure value are obtained in real time, and the gas collector pressure change rate is calculated accordingly. When the pressure change rate exceeds a set threshold value, a feed-forward control amount for adjusting the blower speed or the backflow flap opening degree is generated based on the pressure change rate. Meanwhile, the front suction value of the primary cooler is obtained, and feedback control quantity is generated through a feedback control algorithm according to the deviation between the front suction value and the suction set value. And superposing the feedforward control quantity and the feedback control quantity to generate a final control instruction, and adjusting the rotating speed of an air blower or the opening degree of a backflow turning plate according to the final control instruction, so that the measured pressure value of the gas collecting pipe tends to a target pressure set value. According to the method, control delay caused by medium flowing is eliminated, instant and advanced adjustment is achieved, and the problem that control response is not timely is solved.

A method for conditioning and maintaining power with predictive load compensation using an uninterruptible power supply system is disclosed. The method includes measuring an electrical input from a primary power supply using analog sensors and transmitting the input through an impedance to introduce a controlled delay. During the delay, input parameters and downstream system effects are determined based on telemetry sensor data. Digital identities are generated for the electrical input and the downstream load and compared to a stored digital identity representing historical conditions. Using the comparison, a system simulation is performed with analog twinning to predict downstream system responses. The predicted response is used to adjust a power converter parameter, modifying the electrical input to an intermediate output that compensates for voltage fluctuations and harmonic distortions. A secondary power supply with a bidirectional high-discharge battery supplements or stores energy as needed, ensuring stable power delivery to the downstream load.

The invention relates to a vehicle control method and device, electronic equipment and a vehicle. The method comprises the steps of obtaining road data and real-time meteorological data in a current driving path of a target vehicle; judging whether a road in front of the target vehicle is a crosswind area or not based on the road data and the real-time meteorological data; when it is judged that the road in front of the target vehicle is the crosswind area, influence intensity data of the crosswind area is determined; when it is detected that the target vehicle is about to enter the crosswind area, vehicle parameters of the target vehicle are adjusted according to the influence intensity data; when it is detected that the target vehicle enters the crosswind area, vehicle state data of the target vehicle influenced by crosswind in the crosswind area are obtained, and vehicle parameters of the target vehicle are adjusted according to the vehicle state data. According to the embodiment of the invention, the method achieves the precise judgment of the crosswind region, carries out the vehicle parameter adjustment under the condition that the vehicle does not enter the crosswind region, and avoids the control delay of the vehicle.

The invention discloses an intelligent seat control system and method, and the system comprises a sensing module which is used for collecting a physiological state signal of a driver, a dynamic driving signal of a vehicle, and an environment signal of a carriage; the control module is connected with the sensing module and is used for performing fusion processing on the received multi-source signals and outputting a control instruction based on preset judgment logic; the execution module is connected with the control module and used for driving an adjusting mechanism of the seat according to the control instruction; wherein the control module is configured to judge the fatigue level of the driver according to the physiological state signal; the real-time control state of the vehicle is judged according to the dynamic driving signal; and based on the fatigue level or the real-time control state, generating a corresponding adaptive adjustment instruction to control the execution module to act. According to the intelligent seat system, the problems of physiological monitoring limitation, high control delay and individuation deficiency of an existing intelligent seat system are solved, and a timely, comfortable and safe seat is provided for a driver.

The invention relates to the technical field of energy storage systems, and discloses a harmonic suppression method and system of an energy storage converter. According to the method, harmonic disturbance generated during switching of the switching state is analyzed based on the voltage modulation instruction and the switching characteristic parameters, so that prospective prediction of voltage harmonics caused by switching action time sequence deviation is realized, and the problem of detection and control delay existing in a traditional method is solved; carrying out credibility evaluation on the obtained prediction information of the voltage harmonic wave based on the real-time current harmonic component and the voltage harmonic wave disturbance prediction quantity, and fusing the real-time current harmonic component and the voltage harmonic wave disturbance prediction quantity based on the result to generate a harmonic wave suppression target with a quick response characteristic and high precision; and a safety voltage control instruction capable of effectively suppressing a harmonic suppression target is obtained through a closed-loop iterative optimization mechanism, so that the inherent contradiction that the harmonic suppression effect and the safety constraint are difficult to consider at the same time is solved, and the comprehensive performance of harmonic suppression is improved.

The invention relates to an engineering machinery remote control method and device based on the Internet of Things, equipment and a medium. The method comprises the following steps: acquiring multi-source data of a working site, and after preprocessing, separating key features by using an optimized support vector machine model to obtain a key feature set; based on the set, utilizing a deep neural network to fuse multi-source data to generate an integration state model, and synchronously and dynamically adjusting data acquisition frequency according to network bandwidth fluctuation to obtain a final integration state model; the transmission delay of the data is evaluated, semantic classification and compression are carried out on the optimized data, and a visual interface is generated after transmission analysis; and acquiring interface interaction data, converting the interface interaction data into a control instruction, calculating a signal parameter modification value, verifying control delay compliance, and finally generating remote control response data containing execution confirmation information. By adopting the method, the intelligent level and the operation safety of remote control of the engineering machinery are remarkably improved, and the labor and operation and maintenance cost is reduced.

This invention discloses a dynamic weighted adaptive predictive control method and apparatus based on twin model fidelity feedback. The method includes: establishing a digital twin model of the motor to obtain the predicted current of the motor's future state, addressing the impact of motor model uncertainty and time-varying parameters on control performance; calculating the prediction fidelity of the motor's digital twin model in real time based on the predicted current and the measured current of the motor; dynamically adjusting weight factors using a fuzzy logic decision system based on the motor's real-time operating conditions and the prediction fidelity to achieve switching of the control objective; calculating the optimal voltage vector corresponding to minimizing the cost function using model predictive control theory based on the predicted current and the dynamically adjusted weight factors; and achieving operation of the permanent magnet synchronous motor at low switching frequencies based on the optimal voltage vector. This invention can effectively compensate for control delay and model uncertainty at low switching frequencies, significantly improving the high dynamic response performance and robustness of the permanent magnet synchronous motor.

The invention provides a wind power integration system small disturbance modeling and stability analysis method considering control delay, and the method comprises the steps: introducing a sampling delay link, a zero-order holding link and a switch delay link in a small disturbance linearization modeling process, carrying out the linearization processing through employing a first-order inertia link, and building a unified state space model; respectively constructing control delay mathematical models of the direct-driven fan and the double-fed fan, and analyzing and identifying the influence of the control delay on the oscillation mode and stability of the system through characteristic values and impedance; and finally, performing time domain simulation in the simulation platform, and comparing a calculation result with a simulation result to verify the accuracy of the model. The method can accurately reflect the small disturbance characteristics of the wind power grid-connected system in the sub-synchronous frequency band and the super-synchronous frequency band, provides a theoretical basis for optimization of control parameters of a wind turbine generator and evaluation of grid-connected stability, and solves the technical problem that the influence of control delay is generally ignored in modeling of an existing wind power grid-connected system.

This application discloses a flexible power distribution network AC / DC hybrid control device and method empowered by quantum precision measurement. The device includes an AC / DC hybrid quantum interference measurement module, a quantum measurement control closed-loop linkage module, an adaptive quantum entanglement anti-interference shielding module, and a quantum classical collaborative backup control module. The method includes the following steps: S1, synchronously and precisely measuring the real-time magnetic field signals on the AC and DC sides of the AC / DC hybrid system; S2, amplifying the weak signals in the real-time magnetic field signals; S3, actively canceling external electromagnetic interference through the adaptive quantum entanglement anti-interference shielding module; S4, using the real-time magnetic field signals to solve the optimal power balance solution through the QUBO objective function and variational parameter optimization formula, and monitoring the state of the AC / DC hybrid system in real time, in order to solve the problems of large control delay, weak anti-interference capability, disconnect between measurement and control, and inability to adapt to dynamic topology changes in existing technologies.

Provided are a control circuit, a semiconductor memory device, and a control method thereof that are capable of efficiently estimating the amount of delay between a first signal and a second signal and generating an output signal according to the amount of delay. [Solution] The control circuit 30 comprises a delay line section 31 to which a start signal start_tdc is input, the delay line section including a plurality of delay units U1 to U8 connected in series; a detection section 32 to which an end signal end_tdc is input, the detection section detecting, when an end signal is input after the start signal is input to the delay line section, the number of delay units among the plurality of delay units through which the start signal has passed before the end signal is input; and a control section 33 that controls the transmission path of the start signal in the delay line section so that the number of delay units through which the start signal has passed before the start signal is output from the delay line section is equal to the number of delay units detected by the detection section.

The invention relates to the technical field of mobile robot navigation, and discloses a robot adaptive motion control method and system, and the system comprises a step test module which is used for recording odometer data and control quantity data with a timestamp; the parameter fitting module is used for analyzing the odometer data and the control quantity data and establishing a mapping function of the control quantity and the movement speed; the delay compensation module is used for maintaining a historical control quantity queue and predicting the expected pose of the robot when the control instruction sent at the moment t is executed based on the control delay tau; the multi-objective optimization module is used for solving the optimal control quantity; and the online updating module is used for continuously collecting motion data in the motion process of the robot and dynamically updating the mapping function and the key parameters. According to the method, actual motion parameters are automatically obtained through step testing, different robot individuals and performance attenuation scenes are adapted, the problem of model mismatching is solved, and time delay compensation is controlled to reduce positioning deviation.

The invention discloses a method, system and medium for a voltage clamping unit in a chip circuit, and belongs to the technical field of chip circuit protection, and the method comprises the steps: obtaining a maximum allowable voltage deviation window and a maximum allowable voltage rise rate of a target input / output pin of a chip, and constructing a target clamping characteristic parameter set; selecting a clamp sub-model based on the parameter set; adjusting capacitance matching unit parameters according to the equivalent input capacitance of the target pin by combining a support vector regression algorithm with a genetic algorithm; connecting a clamping model and injecting a test voltage waveform, and extracting clamping response time and clamping voltage to construct feedback characteristics; a mathematical model between the clamping response time and the delay gate series is generated through a symbol regression algorithm, and a control delay unit structure is corrected; according to the method, closed-loop adaptive adjustment of clamping parameters is realized, the transient interference suppression capability and clamping precision of the chip under high-frequency and low-voltage conditions are improved, and the method has good reliability and expandability.

The invention discloses a high-frequency oscillation suppression method and system for a flexible direct-current power transmission system, and belongs to the field of high-frequency oscillation suppression of a power system, and the method comprises the steps: adding a Gaussian white noise signal in current control of the flexible direct-current power transmission system, and continuously observing the voltage and current of a grid-connected point of the flexible direct-current power transmission system; acquiring the amplification factor of the oscillation signal in the frequency domain and the oscillation stabilization time in the time domain, and judging the current oscillation risk; when the oscillation risk exists, a differential first controller is introduced to compensate a selected current loop feedback signal, a positive torque signal is generated, and parameters of the differential first controller are obtained based on the current oscillation risk level; and performing feedforward compensation on the generated positive torque signal to an output link of a flexible converter in the flexible direct-current power transmission system. The negative damping phenomenon caused by the control delay effect is effectively compensated, and high-frequency oscillation of the flexible direct-current power transmission system is avoided.

The invention discloses a combined type self-adaptive variable-diameter supporting wheel mechanism for pipeline detection. The combined type self-adaptive variable-diameter supporting wheel mechanism comprises a base, an elastic assembly, a fork rod and an odometer wheel, the fork rod and the base are arranged in a relative sliding mode and connected through an elastic assembly. The odometer wheel is arranged at one end of the fork rod away from the base. A complex electric control system is abandoned, the pure mechanical passive self-adaption principle is adopted for the first time, the core driving force of the mechanism directly comes from interaction force between the inner wall of the pipeline and the supporting wheels, and through the spring which is a simple elastic element, the self-adaption function is achieved. The mechanical energy of pipe diameter change and obstacle impact is directly converted into the adaptability and obstacle crossing action of the mechanism, the crossing from the need of intelligent control to the natural mechanical intelligence is realized, the structure is fundamentally simplified, the control delay is eliminated, and the stability under severe working conditions is greatly improved.

The application provides a ROS-based distributed mobile robot visual servo following method, comprising: constructing a distributed heterogeneous control architecture separating an upper computer from a lower computer; the upper computer detects a target through a YOLO model and locks the target to follow, calculates a longitudinal following linear velocity according to a target image feature, encapsulates a linear velocity, a target transverse position, a control parameter and an enable flag bit into a control instruction, and sends the control instruction to the lower computer through a UDP protocol; the lower computer listens to and analyzes the UDP instruction through a ROS node, executes a transverse PD steering control to calculate an angular velocity, combines the longitudinal linear velocity to generate a motion instruction, drives a chassis to execute a following action, and triggers a safety shutdown when the target is lost or communication is abnormal. The application solves the problems of control delay caused by insufficient computing power of an existing single-board computer full-stack scheme, poor robustness in a complex environment and insufficient safety, and realizes high real-time and high-robustness mobile robot visual servo following.

The present disclosure relates to voltage-controlled inverters. A voltage-controlled delay buffer includes a number of inverters configured in a cascade structure to receive an input signal from a source circuit and to output an output signal to an output circuit. The inverters include voltage-controlled inverters controlled by a control signal having a first voltage and a second voltage. The voltage-controlled inverters include a PMOS transistor to assist a low-to-high transition of the output signal and an NMOS transistor to assist a high-to-low transition of the output signal. Two variable capacitors, one connected in a forward direction and the other connected in a reverse direction, are used to adjust a delay of a transition of the input signal. Two other variable capacitors, one connected in a forward direction and the other connected in a reverse direction, are used to adjust a delay of a transition of the output signal according to the first voltage and the second voltage.

The invention discloses a high-speed train prediction cascade control method and device based on PPC and MPC, and relates to the field of train control, and the method comprises the steps: obtaining a speed prediction value at a t + 1 moment according to a GS-TCN model; processing the state error at the moment t by adopting PPC to obtain an initial control force at the moment t + 1 under the initial iteration times; according to the speed prediction value at the t + 1 moment, the initial control force at the t + 1 moment under the current number of iterations and the GS-TCN model, obtaining a speed prediction value at the t + 2 moment, and further obtaining a speed error at the t + 2 moment under the current number of iterations; the speed error at the t + 2 moment under the current iteration number and the initial control force at the t + 1 moment are input into MPC, the initial control force at the t + 1 moment under the next iteration number is obtained, and finally the optimal control force at the t + 1 moment is obtained. Rolling optimization can be efficiently completed within the effective period, and the control delay problem caused by calculation time consumption is effectively relieved.

A system and method for performing digital calibration of non-linearity in a circuit is presented. The circuit includes a phase detector, a statistics gathering device, and a feedback device. The phase detector provides information regarding a relationship between a clock from the programmable clock phase circuit and a reference signal. The statistics gathering device is coupled to the phase detector. The statistics gathering device receives an output of the phase detector to measure linearity of the programmable clock phase circuit. The feedback device is coupled to the statistics gathering device. The feedback device controls a delay and adjusts a phase of the clock based on measured values received from the statistics gathering device.

The application provides a delay compensation control method for a double pendulum wave energy conversion device, which comprises the following steps: numerical modeling and hydrodynamic analysis are performed on the double pendulum wave energy conversion device, time domain motion equations are established, a time delay function is introduced into the time domain motion equations to simulate control signal transmission delay, and partial differential equations are used to simulate the execution delay of the brake; state space equations of the device are established, the convolution items in the time domain motion equations are replaced by the state space equations, and the motion state of the device is calculated; a Hamilton function is defined to convert a constrained optimization problem into an unconstrained optimization problem, the optimal control criterion considering the control delay is obtained by solving the Hamilton function, and the maximization of energy capture under the optimal control criterion is realized. The application truly reflects the operation characteristics of the physical system by introducing the control delay, so that the closed-loop control method is effectively implemented in the actual physical device, and the energy capture efficiency of the wave energy conversion device and the reliability of the system operation are effectively improved.

The application discloses a kind of vehicle communication signal control methods based on deep learning, specifically relates to vehicle communication control technical field, historical vehicle sensor data, historical communication network data and historical traffic flow data are collected and are time-space alignment, historical multi-source data after time-space alignment are sequentially carried out data cleaning, feature extraction and feature fusion, construct deep learning model, training set, verification set and test set are divided according to time sequence and then carried out multi-objective optimization training, sequentially to the model trained laboratory simulation verification, closed site real vehicle verification and open road small-scale verification, after verification passes, model is deployed to carry out subsequent vehicle communication control, improve the accuracy of communication control scheme generation while being able to reduce the generation time of communication control scheme, and then reduce the regulation and control delay, greatly improve the vehicle driving safety and vehicle communication quality.

This application discloses an LVDS adaptive frame synchronization system, comprising: a transmitting end: a clock generation module providing multi-rate clocks; a data parallel-to-serial conversion module converting parallel data into a high-speed serial bit stream under clock control; a multi-functional auxiliary channel parallel-to-serial conversion module interleaving and encoding auxiliary control information and synchronization information into a composite bit stream; and an LVDS driver group converting signals into differential signals for transmission. The receiving end: an LVDS receiver group converts differential signals into single-ended signals, including multiple data signals, one auxiliary channel signal, and one half-rate clock signal. A serial-to-parallel conversion and synchronization control module uses a half-rate clock to perform DDR sampling of the data and auxiliary channel signals. Synchronization information is extracted by sampling on the falling edge of the auxiliary channel signal, and auxiliary control information is extracted by sampling on the rising edge. A synchronization detection unit obtains the capture sequence from the synchronization information, and a numerically controlled delay unit calculates the delay correction amount based on the mapping relationship between the capture sequence and the correction signal to delay the data, thereby achieving adaptive frame synchronization.

The invention relates to the technical field of LED lamp control, in particular to a dual-mode independent control intelligent LED lighting system and a control method, and the method comprises the following steps: S1, a first control unit establishes connection with a cloud intelligent household platform through Wi-Fi and receives a remote control instruction from the cloud intelligent household platform; s2, the second control unit is a Bluetooth control unit based on an MCU and is used for receiving a local control instruction from a local mobile terminal, a Bluetooth remote controller or a physical button; s3, a signal arbitration module receives the remote control instruction and the local control instruction of the steps S1 and S2, and generates a final control signal according to a preset arbitration strategy; according to the intelligent lamp control method and device, a user can still perform local control through Bluetooth under the condition that Wi-Fi is disconnected or a Mihousehold module fails, the availability and dual control of the lamp are guaranteed, Wi-Fi and Bluetooth control channels are completely independent, signal conflicts and control delay are avoided, meanwhile, the requirements of the user for different use scenes are met, and the practicability of the intelligent lamp is improved.

A control circuit includes a control unit, a delay line unit, and a detection unit. The delay line unit delays an input clock signal based on the delay amount and generates an output clock signal. The detection unit performs a detection operation to detect the number of delayed clock cycles from the input clock signal to the output clock signal. The control unit changes the delay amount during a delay operation and controls the delay line unit so that the input clock signal is synchronized with the output clock signal. Before the delay operation, the detection unit performs the detection operation multiple times and detects a plurality of numbers of delayed clock cycles. The control unit sets the delay amount for the detection operation and sets the delay amount for the delay operation according to plurality of detected numbers of delayed clock cycles.

The utility model discloses a motor tension system with multiplied output, which comprises a frame provided with a linear guide structure, a tension pulley and a rope, the center of the tension pulley is rotatably connected with an output shaft, the output shaft is slidably connected to the linear guide structure, and the rope is wound on the tension pulley; the plane where center shafts of the two force application motors are located is perpendicular to the sliding track of the output shaft, the two force application motors are symmetrical about the sliding track of the output shaft, the force application motors are connected with wheel discs, the two opposite ends of the rope are connected to the two wheel discs correspondingly, and the wheel discs are provided with locking grooves and containing grooves. One end of the containing groove communicates with the locking groove, a locking block is arranged in the locking groove, and the end of the rope penetrates through the containing groove and is connected to the locking block. The utility model discloses can realize the multiplied output of pulling force, response speed is fast, control delay is low, control effect is accurate and reliable, can effectively reduce failure rate, maintenance cost is low.

The invention discloses an aircraft attitude control execution system, which is characterized in that an actuator controls pitching and overturning of an aircraft through four groups of attitude control engines, each group of engines is controlled through an independent control circuit, and the control delay time of each path does not exceed 50us; each control circuit is connected with a safety protection circuit, a state function checking circuit, an execution control circuit and an execution state voltage recovery circuit, the control circuits control an external ignition wire F1, an external ignition wire F2, an external ignition wire G1 and an external ignition wire G2, and execution control is completed through an ignition module. Through the safety protection circuit, the safety of storage and transportation of the initiating explosive devices of the aircraft can be ensured; the state inspection circuit can inspect the state of the initiating explosive device of the aircraft timely and inspect the safety state of the initiating explosive device of the aircraft in real time; an execution control circuit responds to output signals of the aircraft in a low-delay mode, and attitude control is conducted on the aircraft in time; the advantages of optical coupler isolation collection are utilized in state recovery collection, and false alarm caused by interference is avoided.

The invention relates to the field of device fault management, in particular to a fault prediction and management system for an overdue service relay protection device, and the system comprises a device monitoring unit which is used for determining the type of a target device, and determining whether to adjust the fault prediction trigger reference from the same-batch image difference degree to a review image difference degree based on the device category difference value; the data analysis unit is used for judging whether fault analysis needs to be carried out or not based on a fault prediction triggering benchmark corresponding to a benchmark analysis condition, and judging whether the index revision instruction comprises acquisition frequency increasing processing or not and whether manual early warning is carried out or not according to a response control delay degree difference value corresponding to one type of devices; the fault analysis unit is used for judging whether aging fault early warning is carried out or not and whether comparative analysis is carried out or not according to the gray level change reference value and the column pixel brightness difference value corresponding to the first-class device, and judging whether the index revision instruction comprises interface increment acquisition or not; according to the invention, the fault monitoring automation efficiency is improved.