33results about How to "Avoid unplanned downtime" patented technology

The application provides a fan clearance distance monitoring method and system based on multi-beam radar correlation detection. The system comprises a three-beam laser radar acquisition module, a data preprocessing module, a consistency verification module, an environment recognition and data compensation module, and a clearance value calculation and output module. The method comprises the following steps: S1, extracting echo intensity and slant range data of each beam; S2, performing time sequence filtering processing on the collected beam data and eliminating instantaneous jump points deviating from the mean value center; S3, performing multi-beam time correlation verification; S4, performing multi-beam numerical correlation verification; S5, calculating the visibility influence factor to determine the visibility environment; S6, fusing the effective data of the verification, using the remaining effective beam data for completion, and outputting the final fan clearance distance monitoring value. The application is applied to the technical field of wind power generation safety monitoring.

This invention discloses a rotating shaft health monitoring device and a rotating shaft system health assessment method. The rotating shaft health monitoring device includes: a two-dimensional cylindrical grating, etched on the non-working cylindrical surface of the rotating shaft and rotating with the shaft; a grating reading unit, fixed outside the two-dimensional cylindrical grating, used to collect the moiré fringe signal generated by the two-dimensional cylindrical grating rotating with the shaft, and decoupling tangential displacement, radial displacement, and axial displacement through a single grating reading unit based on the imaging scaling effect and grating line phase difference of the two-dimensional cylindrical grating; and a data processing unit, electrically connected to the grating reading unit, used to receive the moiré fringe signal and perform real-time processing. The rotating shaft system health assessment method is based on the rotating shaft health monitoring device. A single grating reading unit can simultaneously measure the displacement of three degrees of freedom: tangential, radial, and axial, covering all core health parameters of the rotating shaft; it realizes the direct measurement of the geometric deformation of the rotating shaft, and significantly advances the fault warning time.

This invention discloses a hydraulic pump condition monitoring system based on multimodal information fusion and digital twin, specifically relating to the field of hydraulic equipment condition monitoring technology. The system includes a hydraulic pump multimodal data acquisition module, a hydraulic pump multimodal feature engineering module, a hydraulic pump condition hierarchical fusion diagnosis module, a hydraulic pump health status and risk assessment module, and a digital twin and decision support module. The hydraulic pump multimodal data acquisition module synchronously collects key operating parameters of the hydraulic pump through a distributed sensor array and obtains a hydraulic pump multimodal parameter set after preprocessing. The invention utilizes the hydraulic pump condition hierarchical fusion diagnosis module, combining the advantages of algorithms such as RF, CNN, and LSTM+Attention, to construct cavitation diagnosis sub-models, bearing wear diagnosis sub-models, and internal leakage diagnosis sub-models, enabling diagnosis for different fault types and achieving automation and intelligence from feature extraction to fusion diagnosis.

The application discloses a motor temperature control method based on environment monitoring and belongs to the technical field of motor temperature control, which comprises the following steps: S1, multi-source data synchronous acquisition: the working temperature T1 of a motor body, the environment temperature T2 of an environment where the motor is located, the running current I of the motor and the heat dissipation state signal S representing the state of a heat dissipation system are synchronously acquired in real time, the heat dissipation state signal S is the temperature of a radiator, the flow of cooling liquid or the rotating speed of a heat dissipation fan, S2, multi-source temperature coupling analysis and feature extraction: based on the real-time data collected in step S1, coupling calculation is performed to generate an environment normalized temperature rise index and a heat balance deviation index for representing the abnormal state of the system heat, S3, fault root cause discrimination and classification: the environment normalized temperature rise index and the heat balance deviation index calculated in step S2 are used for fault root cause discrimination and classification. The application realizes the motor temperature control based on environment monitoring, realizes the transition from fuzzy perception, extensive control to accurate diagnosis and can realize intelligent intervention.

The invention relates to a method for improving the dustpan filling rate of a bucket elevator. The method comprises the steps that dustpan filling images and equipment data are obtained in real time through a sensor network; transmitting the data to an edge AI calculation unit, performing millisecond-level reasoning by using a lightweight convolutional neural network model, estimating a filling rate in real time and identifying a material type; based on a reasoning result, dynamically and cooperatively adjusting operation parameters, including changing the geometric volume of the deformable intelligent winnowing pan through a micro driving mechanism, adjusting the speed of the elevator and controlling a feeding auxiliary device, and continuously optimizing decision logic of the system by a digital twin model, according to the model, an optimization strategy set is generated in advance through discrete element simulation and a Bayesian optimization algorithm, and the system has a maintenance function of predicting performance degradation by analyzing current and vibration data and can cooperate with upstream and downstream equipment to realize global energy efficiency optimization; according to the scheme, the problem that the filling rate of a traditional elevator is unstable due to variable materials and fixed bucket types is solved, and self-adaptive precise control is achieved.

The present application relates to the technical field of scraper conveyor, and particularly relates to a chain breakage fault pre-judgment device and method of a scraper conveyor and the scraper conveyor, the device comprising: a controller, a first plug plate and a first magnetic sensor fixed to the first plug plate; a conveying groove of the scraper conveyor is provided with a first opening, the first plug plate is inserted into the first opening and located at a side of the chain close to a chain channel, and the first magnetic sensor is fixed to the first plug plate and opposite to one side of the chain; in the process of running of the chain of the scraper conveyor, the first magnetic sensor collects a first magnetic characteristic signal of a chain link passing through the first magnetic sensor; the controller is connected with the first magnetic sensor, the damage state of the chain link is analyzed according to the first magnetic characteristic signal, and whether the chain link is a chain breakage fault risk point is pre-judged based on the damage state. In this way, the present application pre-judges the chain damage of the scraper conveyor in advance, so as to realize the early warning and preventive maintenance of the chain breakage fault, and the operation reliability and safety of the scraper conveyor are improved.

The invention relates to the technical field of lead screw guide rail data acquisition, in particular to a lead screw guide rail data acquisition method and system, and the method comprises the following steps: obtaining a vibration signal of a lead screw guide rail; preprocessing the vibration signal to obtain a preprocessed vibration signal; self-adaptive noise suppression is carried out on the preprocessed vibration signal, and a noise-suppressed vibration signal is obtained; performing time-frequency domain conversion on the vibration signal subjected to noise suppression to obtain time-frequency distribution of the vibration signal; extracting transient high-frequency impact characteristics from the time-frequency distribution; dynamically adjusting the judgment rule of the early damage state according to the operation condition of the lead screw guide rail; according to the transient high-frequency impact characteristics and a judgment rule, the early damage state of the lead screw guide rail is judged; according to the judgment result of the early damage state, graded early warning is sent out; through obtaining the vibration signal of the lead screw guide rail and carrying out preprocessing and self-adaptive noise suppression, the purity of the signal is effectively improved.

The invention provides a thermal power plant boiler carbon emission reduction system. The thermal power plant boiler carbon emission reduction system comprises a boiler, a flue gas treatment module, a waste heat recovery module, a carbon oxide collection module, a carbon oxide treatment device and a monitoring module, the flue gas treatment module is used for primarily purifying flue gas from a boiler; the waste heat recovery module is used for recovering heat energy in the flue gas after primary purification; the oxidized carbon substance collecting module is used for capturing oxidized carbon substances in the flue gas subjected to primary purification; the oxidized carbon substance treatment device is used for carrying out conversion treatment on the captured oxidized carbon substances; the monitoring module is in signal connection with differential pressure sensors arranged in front of and behind the oxidized carbon material collecting module, is used for monitoring the filtering differential pressure representing the blockage degree, is connected with the control end of the oxidized carbon material collecting module, and is configured to automatically control the cleaning operation of the oxidized carbon material collecting module according to the filtering differential pressure; and long-term smooth and stable operation of a carbon oxide trapping link can be effectively maintained.

The invention relates to the technical field of petrochemical engineering, in particular to a pre-flash tower bottom oil diversion and emergency oil return system which comprises a switching and shunting module, a pressure mixing module and a cooperative control module. Boosting the pressure of the slurry oil and then dividing the slurry oil into a first branch flow and a second branch flow; the first branch is communicated with a first conveying pipeline, the first conveying pipeline is communicated with a wax oil mixing part, and slurry oil and product wax oil from the vacuum tower are mixed at the wax oil mixing part; the second branch is communicated with a second conveying pipeline, and the second conveying pipeline is communicated with an emergency connector. According to the invention, integrated hardware multiplexing and cooperative control are carried out on the load optimization process and the blockage emergency oil return function of the vacuum tower, and embedded active safety protection is constructed while load reduction and efficiency improvement of the vacuum tower are realized, so that the processing load and operation continuity of the device are systematically improved.

The invention relates to the technical field of intelligent operation and maintenance of industrial equipment, in particular to a blast furnace hot blast stove equipment abnormity early warning and root cause analysis method based on a multi-modal large model. Multi-modal features are fused through a cross attention mechanism, a dynamic anomaly early warning model is constructed based on an auto-encoder and a mahalanobis distance, a causal reasoning model is constructed based on a knowledge graph and Do-Calculus, and root cause positioning is completed. The method has the advantages that through multi-modal feature fusion and self-encoder dynamic early warning, the early degradation trend is accurately captured, the early warning period is prolonged, for example, in a checker brick blocking fault of a heat storage chamber, early warning is conducted in advance by recognizing cross-modal correlation features of local high-temperature area expansion, sudden increase of 10 kHz vibration energy and slow decrease of hot air temperature, and the early warning period is prolonged. Non-planned shutdown is avoided; multi-modal data cross validation effectively distinguishes real faults and normal fluctuations, and interference of invalid alarms on operation and maintenance is reduced.

The present application relates to the technical field of medical pure water preparation, and specifically discloses a medical multi-stage pure water integrated method and system based on modular design, aiming at the problems that the existing reverse osmosis membrane is interfered by water temperature fluctuation, leading to pollution misdiagnosis, passive alarm and scheduled maintenance easily causing unplanned shutdown, by collecting parameters such as water inlet temperature, membrane section pressure difference and water production flow, completing standardized processing through temperature-viscosity compensation, identifying membrane fouling deposition and element damage failure through parameter change slope decoupling, predicting the remaining health running time of the membrane through linear regression fitting, automatically reducing the frequency of the high-pressure pump within the early warning threshold to implement preventive intervention, and realizing closed-loop self-correction of the diagnosis threshold and the data window based on the quantitative calculation of the intervention effect. The present application can strip water temperature interference to realize accurate pollution typing diagnosis, predict and actively delay pollution development in advance, eliminate unplanned shutdown from the root, control the adaptive evolution of the model, and ensure the continuous and stable operation of the medical pure water system.

This utility model discloses an anti-jamming transfer device for guiding anode plates, comprising symmetrically arranged fixed plates and sliding plates, with a groove fixed in the middle of each fixed plate; a slider is slidably arranged in the groove, and a sliding plate is installed on the top of the slider; the upper part of the sliding plate is an inclined plate that guides the end of the anode plate to converge, and the bottom is a vertical plate. This utility model, through the adjustable design of the slider to the sliding plate position, allows the anti-jamming device to flexibly adapt to various production conditions, effectively avoiding the problem of collision or jamming between the anode plates and the frame of the transfer trolley due to the outward expansion of the anode plate arrangement. It significantly improves the smoothness and reliability of the anode plate placement process, enhances the versatility of the equipment and the convenience of installation and debugging, and reduces the requirements for the absolute positioning accuracy of the robotic arm. It also reduces the impact and wear during equipment operation, effectively preventing structural damage and unplanned downtime caused by plate jamming, thereby ensuring the stable and efficient operation of the automatic anode plate transfer system. It has the advantages of convenient adjustment, accurate positioning, safety, and durability.

The invention relates to the technical field of state monitoring and fault diagnosis, in particular to an automatic detection system and method for a phase selection closing device based on an intelligent algorithm, and the method comprises the steps: a multi-mode sensing module applies an active excitation signal and obtains an active mechanical response signal when the device is in a standby state, and obtains a passive operation signal when the device is in a closing operation; the feature extraction module extracts active mechanical features and passive dynamic features respectively, and the active mechanical features and the passive dynamic features are spliced into target feature vectors; the deviation prediction module establishes an explicit degradation equation through a symbolic regression algorithm, inputs a target feature vector to obtain predicted closing time deviation and outputs abnormal early warning; and after receiving the early warning, the diagnostic analysis module deduces a device fault source based on a target feature vector and a Bayesian causal network. According to the invention, active harmonic detection is adopted when the device is in a standby state, and passive dynamic monitoring is carried out when the device is switched on, so that effective separation of pure mechanical characteristics and electromechanical coupling dynamic characteristics of equipment is realized.

This invention relates to the field of machine learning, and provides a method, device, and equipment for intelligent early warning of nozzle erosion in impulse turbines. The method includes: acquiring a real-time operating parameter sequence of the impulse turbine within the most recent time window; inputting the real-time operating parameter sequence into a pre-trained neural network prediction model to predict the nozzle erosion area over a future period; constructing the training set of the neural network prediction model based on multi-source historical time-series data during the operation of the impulse turbine; calculating the rate of change of the erosion area based on the predicted nozzle erosion area over the future period; and generating an early warning message when the rate of change of the erosion area exceeds a preset early warning threshold. This invention solves the problem in existing technologies that cannot predict erosion trends and provide early warnings based on fused time-series operating data, and achieves dynamic prediction and intelligent early warning of nozzle erosion in impulse turbines.

The utility model discloses a control system for spraying starch backflow, including spraying starch dissolving groove, screw pump, spraying starch work groove, first switch valve, bottom core layer spraying starch pipe, lining core layer spraying starch pipe and face lining layer spraying starch pipe, and first switch valve has fourth rotor pump, main filter and fifth pressure transmitter connected in proper order in proper order, and the slurry is divided into three branch pipes by fifth pressure transmitter and enters bottom core layer spraying starch pipe, lining core layer spraying starch pipe and face lining layer spraying starch pipe respectively, and the rear end is connected with the total backflow pipe that will three branch shunt slurry converge backflow after parallel connection, and the rear end of bottom core layer spraying starch pipe, all lining core layer spraying starch pipe and face lining layer spraying starch pipe is provided with flowmeter for detecting the backflow of each layer of core paper of each branch pipe respectively, and the starch slurry gathered in total backflow pipe backflows to spraying starch work groove, effectively avoids the deposition and the non - scheduled shutdown caused by the backflow problem of starch slurry.

The invention provides a digital twinning-based power equipment comprehensive monitoring and predictive maintenance system and method. The system comprises a physical layer, a data acquisition and transmission layer, a digital twinning model layer, a data analysis and intelligent early warning layer and a decision support and visualization layer. The method comprises the steps of data acquisition, model driving, simulation, calculation evaluation, early warning and feedback optimization. According to the method, equipment faults are predicted in advance by means of a digital twinning technology and a machine learning algorithm. The system can accurately analyze the health state of the equipment and predict the remaining service life of key parts by continuously monitoring equipment operation parameters such as vibration, temperature and pressure and combining historical data and an equipment operation mechanism. Once the health index of the equipment is lower than the preset threshold value or the remaining service life is close to the safety margin, the system immediately and automatically gives an early warning, and maintenance personnel can arrange maintenance work in advance, so that unplanned shutdown caused by sudden failure of the equipment is avoided, and the production continuity is ensured.

The invention relates to a real-time optimization and safety constraint control method for water exploration and drainage drilling operation parameters. The real-time optimization and safety constraint control method comprises the steps that bit pressure, torque, rotating speed, footage speed and water parameters including in-hole backwater flow or in-hole water pressure are collected in real time; in the continuous sampling window, when the water parameter is monotonically increased or monotonically decreased and the change amplitude exceeds a first threshold value, it is judged that the water content approaching to-be-confirmed state is entered; a perturbation detection action is inserted in the to-be-confirmed state; judging in a recovery window after the action is finished: if the water parameter returns to the reference interval, determining that the risk is reduced, and if the water parameter does not return to the reference interval or continuously monotonically changes and the change amplitude exceeds a second threshold value, determining that the risk is increased; when the risk rises, a safety constraint control state is started, and at least one of the bit pressure set value, the rotating speed and the footage speed is limited to be up-regulated or down-regulated; and when the risk is reduced, exiting the to-be-confirmed state and allowing updating according to a preset up-regulation step length.

The present disclosure belongs to the technical field of hydrogen production by water electrolysis, and provides a hydrogen evolution electrode damage quantification and positioning method based on a reverse voltage plateau period, wherein the quantification method comprises: determining an electrolytic tank shutdown event and synchronously collecting electrolytic tank parameter data; based on the electrolytic tank parameter data, extracting single-cell characteristic parameters of a mixed potential plateau period; constructing an electrode damage equivalent model, and inputting the characteristic parameters to calculate single-cell damage equivalents. The present disclosure proposes and establishes a quantitative mapping relationship between the "reverse voltage plateau duration T" and the "electrode corrosion damage amount", and realizes online, quantitative and spatial positioning evaluation of internal damage of an alkaline electrolytic tank based on the same.

The utility model discloses an adsorption separation device relates to adsorption and analysis control technical field. The method includes: setting the first cleanliness threshold of finished gas and the second cleanliness threshold of analysis gas, according to the current state of the first cleanliness and the second cleanliness, the dynamic adjustment of the regeneration medium flow of analysis process, or when the first cleanliness reaches the first cleanliness threshold, end current adsorption process, make the adsorption tower and the regeneration tower switch operation mode. The utility model discloses through the dynamic adjustment of the dual state of real -time monitoring finished gas and analysis gas, can adaptive response actual working condition fluctuation, while guaranteeing finished gas quality stability, avoided the problem of insufficient or excessive consumption of regeneration medium of regeneration, significantly reduced operating energy consumption.

The invention relates to the technical field of chemical production power supply safety, in particular to a chemical multi-loop guarantee power supply method and system. According to the method, a three-level power supply architecture in which a main power supply is configured to be a double-circuit mains supply, a first-level standby power supply is a UPS power supply and a second-level standby power supply is a diesel generator is adopted, and a PLC is utilized to monitor the voltage, frequency and harmonic distortion rate of the main power supply in real time; when the main power supply fails, the main power supply is switched to UPS power supply within 10-30 ms; when the energy storage of the UPS is insufficient, the diesel generator is started in advance, and load transfer is completed within 30-60 ms; and after the main power supply is recovered, the load is switched back according to the principle of connection-before-disconnection. According to the invention, millisecond-level seamless power supply switching is realized, the continuity and reliability of power supply of chemical key equipment are remarkably improved, the risk of unplanned shutdown and the probability of safety accidents are effectively reduced, and the operation economy is optimized through intelligent management.

This invention discloses a method and system for determining and controlling hydrogen leakage faults in fuel cell vehicles. The method includes determining the vehicle's operating state, which includes normal driving, high-voltage idling, and low-voltage idling. It also involves real-time monitoring of the hydrogen concentration in the vehicle's fuel cell system. When the hydrogen concentration exceeds a preset concentration threshold: if the vehicle is in normal driving, a hydrogen leakage fault handling mechanism is executed; if the vehicle is in high-voltage idling, the hydrogen storage system pressure is checked, and the decision to execute the hydrogen leakage fault handling mechanism is determined based on the result; if the vehicle is in low-voltage idling, the power supply voltage of the hydrogen concentration sensor and the hydrogen storage system pressure are checked, and the decision to execute the hydrogen leakage fault handling mechanism is determined based on the result. This method effectively distinguishes between actual leaks and sensor malfunctions or residual hydrogen interference from exhaust emissions, significantly reducing false alarm rates and improving the accuracy and reliability of hydrogen safety management.

The invention relates to a cutter cooling and self-cleaning system which comprises a cutting mechanism, a refrigeration mechanism, a visual identification detection mechanism, an automatic cleaning mechanism and a controller, the cutting mechanism comprises a first driving part, a cutter and a transmission shaft, the transmission shaft is installed at a cutter shaft hole, and the driving end of the first driving part is connected with the transmission shaft; the refrigerating mechanism is arranged close to the cutter and is used for cooling the cutter; the visual identification detection mechanism is adjacent to the cutter and is used for detecting whether foreign matters exist on the surface of the cutter; the automatic cleaning mechanism comprises a support, a second driving piece and a scraper, and the second driving piece is installed on the support and is in transmission connection with the scraper. And the first driving piece, the refrigeration mechanism, the visual identification detection mechanism and the second driving piece are all connected with the controller. According to the invention, real-time detection and automatic cleaning of foreign matters on the surface of the cutter can be realized, manual intervention and downtime are reduced, continuity and stability of production are maintained, temperature rise of the cutter is effectively inhibited, and the processing quality of filter sticks is effectively improved.

The invention discloses a freezing station equipment group control system with operation balance and fault pre-judgment functions. The freezing station equipment group control system comprises a data acquisition layer, a local control layer and a cloud supervision layer, the data acquisition layer acquires operation parameters of field equipment of a freezing station and then transmits the operation parameters to the local control layer to provide data support for control decision for the local control layer; and the local control layer receives the operation parameters, then carries out comparative analysis, controls loading, load shedding or shutdown of field equipment of the freezing station according to an analysis result, and executes hierarchical response, thereby realizing balance control of the operation duration and multi-dimensional fault pre-judgment. According to the freezing station equipment group control system, intelligent management and control of freezing station equipment are achieved through cloud-side-end three-layer architecture cooperative linkage, the problem that traditional manual operation and control are weak is solved, reliability, intelligentization and energy saving performance of equipment operation control are considered, and the freezing station equipment group control system is suitable for being popularized and applied. And the long-period continuous operation requirement of the modern mine freezing station can be comprehensively met.

The utility model provides a kind of load ring of injection molding type combined conductive ring, including combined conductive ring, combined conductive ring includes middle support spring, the both sides of middle support spring are equipped with conductive sheet, the outside of combined conductive ring is equipped with inner ring, the center of inner ring is equipped with inner hole, inner hole is used to be connected on motor shaft, the outside of inner hole is equipped with positioning groove, conductive ring is arranged in positioning groove, the outside of positioning groove is also equipped with outer groove, and communication hole is equipped between outer groove and positioning groove, communication hole is used to connect outer groove and positioning groove, solve the problem that the conductive ring of original design needs to be placed groove on motor shaft, combined conductive ring is not convenient to disassemble.

The invention relates to the technical field of motor control, in particular to a position identification method and device. The method comprises the following steps: setting a duration value of a detection interval, and setting a magnetic induction change threshold based on the duration value; after the motor is powered on, the motor is driven to rotate in the first rotation direction, and the following steps are executed: the starting time value of a certain detection interval is obtained, and the ending time value of the same detection interval is obtained through the starting time value of the detection interval and the duration value of the detection interval; a first magnetic induction value corresponding to the starting time value of the same detection interval is obtained, a second magnetic induction value corresponding to the ending time value of the same detection interval is obtained, and a magnetic induction absolute difference value is obtained through calculation of the first magnetic induction value and the second magnetic induction value. According to the method, whether the structural part reaches the mechanical end point or not is judged by detecting the magnetic induction change value in the interval, so that the structural part does not impact the mechanical backstop at the mechanical end for a long time.

The invention discloses a safe shutdown method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining detection data of a target monitoring region, and carrying out the target recognition processing based on the detection data, and obtaining a recognition result of a target object; intrusion judgment processing is carried out based on category information and confidence degree information in the recognition result, and intrusion judgment information is obtained; acquiring output state information and heartbeat state information of the at least two paths of safe output channels, and performing channel health judgment processing based on the output state information and the heartbeat state information to obtain channel abnormal information corresponding to each safe output channel; performing cross check processing based on the intrusion judgment information and the channel abnormal information to obtain danger judgment results corresponding to the at least two safety output channels; and a safety control signal is generated based on the danger judgment result, and at least one safety output channel is controlled to output a turn-off signal so as to trigger safe shutdown. And the stability of safe shutdown control and the overall safety and reliability can be improved.

This application provides a dynamic control method for mines based on system instability potential energy and collaborative autonomy, relating to the field of intelligent control and automation technology for mine production. The method includes: collecting multi-source heterogeneous data from the mine production system, including equipment status data, environmental parameters, and production task flow data, and constructing a dynamic relationship graph, where nodes represent mine equipment, production areas, or environmental monitoring points, and edges represent the interaction relationships between nodes; based on the dynamic relationship graph, using a graph neural network to calculate the state and local instability potential energy of each node; based on the local instability potential energy of all nodes, generating a system-level instability potential energy field and predicting the future potential energy field to identify high-risk areas; based on the system-level instability potential energy field and gradient information, controlling an intelligent agent to perform autonomous control through a distributed decision-making approach to reduce the risk of system instability; after executing the control, collecting new data, updating the dynamic relationship graph and potential energy field, and fine-tuning the model by comparing predictions with actual results.

The invention provides an early warning optimization method, device and equipment for an industrial agent and a storage medium, and the method comprises the steps: training an efficiency prediction model, outputting a future comprehensive efficiency prediction value through the real-time operation data, and comparing the comprehensive efficiency prediction value with a preset early warning threshold value, so as to judge whether to generate an early warning or not, achieve the beforehand intervention, and improve the early warning efficiency. After-event remedy is changed into beforehand prevention, non-planned shutdown and quality loss are avoided, and a prospective basis is provided for production and maintenance scheduling; a prediction object is set to be comprehensive efficiency, a prediction model is configured to learn a mapping relation between operation data and the comprehensive efficiency, through a model library and a fusion mechanism, prediction robustness is improved, the comprehensive application effect is predicted, simple equipment parameters are not needed, and higher value is achieved; besides prediction and early warning, an optimized closed loop is constructed, and the long-term effectiveness of the early warning system in a time-varying environment is ensured.

The application discloses a kind of cold-rolled roller chrome plating layer defect repair devices, it is related to metal rolling equipment technical field.The device includes workbench, first supporting roll, load roll, second supporting roll, cold-rolled roller, repair device and shroud;Repair device includes support, recess, driving motor, screw rod, slot block and composite repair execution mechanism.Support is fixed to the side of cold-rolled roller, and composite repair execution mechanism can be moved radially by driving motor.Three load-bearing structures that can move synchronously in axial direction are integrated in composite repair execution mechanism, respectively carrying online detection module, laser cleaning head and cold spraying deposition head, and loading assembly that can automatically adjust angle is arranged on each load-bearing structure.It is close to cold-rolled roller when repairing, scanning and identifying defects, and driving laser cleaning head and cold spraying deposition head to clean and deposit repair defects in turn.The application realizes the online, automatic repair of cold-rolled roller, shortens maintenance time, and guarantees the continuity of rolling production.

A center-adjustable seed crystal pull rod relates to the technical field of semiconductor manufacturing, and can correct rotation deviation from the source and synchronously improve the reliability of dynamic sealing, thereby reducing crystal defects and improving the stability of equipment. Comprising a base rod, one end of the base rod is connected with the output end of the rotary lifting module, the other end of the base rod extends into the furnace body, the extending end of the base rod is provided with a center-adjustable connecting structure, the center-adjustable connecting structure comprises a connector, the connector is fixed to the end of the base rod, and the end face of the connector forms an abutting face; the outer side of the connector is sleeved with an installation sleeve which is connected with the connector, the installation sleeve is provided with an axial installation hole, and the hole bottom of the installation hole extends inwards in the radial direction to form a limiting ring. The three adjusting screw holes are uniformly distributed along the circumferential direction of the mounting sleeve, adjusting jackscrews are arranged in the adjusting screw holes, and the end parts of the jackscrews extend into the mounting holes; a replacement pull rod is arranged in the mounting hole, the top of the replacement pull rod is provided with a mounting shaft matched with the mounting hole, the upper end face of the replacement pull rod abuts against the abutting face, the side face of the replacement pull rod is located above the limiting ring, and the end of the adjusting jackscrew abuts against the side wall of the shaft; the bottom of the replacement pull rod is a crystal pulling part.