23 results about "Critical time" patented technology

The invention relates to a production environment parameter control method and system based on industrial Internet of Things. The method comprises the following steps: collecting a first real-time production environment parameter and a subsequent planned production task, carrying out production environment parameter prediction, obtaining a prediction time sequence production environment parameter set, and determining a critical time point; acquiring response time characteristics of the environment controller, and determining a control time point for the critical time point; and at the control time point, collecting a second real-time production environment parameter of the target workshop, generating an environment control parameter of the environment controller, and controlling the environment controller to execute production environment control based on the environment control parameter. Intelligent prediction of production environment parameters, critical point identification and optimal opportunity intervention control are realized through an Internet of Things sensing network and a production plan, so that the stability of the production environment is ensured, and meanwhile, the energy consumption is reduced.

The invention relates to the technical field of copper blank casting automation, in particular to a copper casting blank drawing control method and system based on temperature monitoring, and the method comprises the steps: collecting a temperature data sequence of heat exchange monitoring points in each cooling mold in real time, and eliminating measurement drift caused by a high-temperature water vapor environment according to dynamic baseline calibration; when it is detected that the single-point temperature of any cooling mold exceeds a preset safety threshold value and the duration reaches a first critical time threshold value, a first-stage abnormal signal of the corresponding cooling mold is generated; according to the distribution state of the first-level abnormal signals in the drawing process, the production numbers and the number of abnormal cooling dies are counted; if the number of the first-stage abnormal signals in the single cooling mold is complex or the proportion exceeds the preset proportion, a second-stage linkage control signal is generated based on the production number; and in response to the secondary linkage control signal, an emergency stop control signal is sent to the tractor. By means of the method, the problems of copper casting blank quality defects and equipment damage risks caused by out-of-control temperature are effectively solved.

The application provides a model test method for simulating progressive weakening of slope strength, and relates to the technical field of geomechanical model test, which comprises the following steps: curing base material to obtain a sample, wherein the sample is a cylinder; selecting a weakening solution by trial method according to a preset model slope evolution time length; performing a weakening test on the model slope by immersing the model slope in the weakening solution; obtaining evolution process information of the model slope, and determining a critical time corresponding to the occurrence of a sliding surface of the model slope; performing a weakening test on the sample by using the weakening solution, and performing an unconfined compression test on the sample when the test time reaches the critical time, so as to obtain the cohesion of the sample; and calculating the critical cohesion of a prototype slope from the cohesion of the sample. In the case that the shear strength of the slope body is insufficient, the strength parameter of the slope body is gradually reduced, and the whole process of the slope body instability evolution is studied.

The invention relates to the technical field of reliability testing of Android equipment without a built-in battery, and discloses a file damage critical time determining method, testing equipment and a system.The method comprises the steps that after a testing file is received, power-off operation is executed by delaying a preset duration, and power-on is conducted again after power-off to detect a hash value of the file, so that whether the file is damaged or not is judged; if the current hash value is matched with the original hash value, further detecting the time precision of the preset duration, adjusting the preset duration when the time precision does not reach a set value, repeating the test, and taking the preset duration at the moment as the file damage critical time after the time precision reaches the standard; the technical means of delaying the preset time length for power-off, detecting the file state in combination with the Hash value matching and then adjusting the preset time length according to the time precision is adopted, so that the problem that the control precision of the power-off time of the traditional power-off test is insufficient is solved, and compared with the prior art, the effect of accurately reproducing the damage critical time of the file system is realized.

The invention discloses a power plant unit control method and system based on edge calculation, and relates to the technical field of edge calculation. The method comprises the following steps: acquiring and processing a first data set in real time by utilizing an edge computing node; when the key time period is identified, triggering a corresponding dynamic adjustment mechanism; the technical key points are as follows: on the basis of an originally divided key period and an originally divided non-key period, the period is divided twice to obtain a calibrated period and a non-calibrated period, different constraint condition correction factors are adopted to adjust an originally determined probability factor, so that a control strategy is more targeted, and by constructing a parameter adjustment model, the accuracy of the control strategy is improved. The time difference adjusted in advance is output, and the control is dynamically adjusted according to the time difference, so that a preset management mode is realized, the accuracy of regulation and control is realized, much inconvenience caused by instant response is avoided, the problem that a traditional single control strategy is difficult to meet diversified working requirements is solved, and the flexibility and adaptability of the control strategy are improved.

The present application relates to the technical field of fluid control valve, specifically to a pilot pressure reducing valve pilot pressure pipe length optimization design method. The present application uses the force balance equation containing time lag to obtain the critical time lag of the system generating periodic oscillation, then establishes the length constraint equation of the pilot pressure pipe through the relationship between the pipe length and the critical time lag, finally uses the iterative method to obtain the maximum allowable length of the pilot pressure pipe, and then outputs the actual length according to the field installation requirement, which can provide adjustment suggestions for different installation conditions and has wide adaptability. At the same time, the reasonable range of the pilot pressure pipe length can be determined at the design stage, the pilot pressure pipe can be avoided to be replaced repeatedly on site, the installation cost is reduced, and the consistency of the valve is improved.

The application provides a gate position correction method and a correction mechanism, and relates to the technical field of gate control of a hydropower station.The method comprises the following steps: constructing a trajectory prediction model and a global coordinate system; inputting a gate state vector into the trajectory prediction model to obtain a predicted trajectory; determining a predicted offset vector, a predicted offset rate and a correction critical time; selecting a correction start time; obtaining a predicted trajectory point and a predicted offset vector corresponding to the correction start time to obtain a correction start position and a correction start offset vector; determining a target position of a contact point based on the correction start offset vector and a current position of the contact point of the correction mechanism; moving the contact point of the correction mechanism to the correction start position at the correction start time; and moving the contact point of the correction mechanism to the target position of the contact point during the correction. The method can predict the offset trend of the gate in advance, rather than reacting after the actual offset occurs, thereby shortening the time interval from discovering the problem to taking action.

The application discloses an energy consumption control and regulation method and system for a smart farm, and relates to the technical field of intelligent regulation and control.The method comprises the following steps: acquiring historical temperature and humidity regulation values, historical light intensity regulation values and historical concentration regulation values; determining whether three types of data are all in the same regulation time point for environment regulation; counting three types of historical regulation schemes; training a simulation prediction model one; if the external environment characteristics of each historical period in the historical regulation record data present an unstable state, then counting a first variable regulation scheme and a second variable regulation scheme performed in a time period before a historical variable critical time point and a time period before and after the historical variable critical time point, training a simulation prediction model two, and testing the current prediction regulation scheme by the simulation prediction model one or the simulation prediction model two according to the current external environment characteristic value.The energy consumption control and regulation method and system for the smart farm can improve the energy consumption control efficiency.

The present application relates to the technical field of metal material corrosion and protection, and particularly relates to a non-passivated metal material erosion corrosion evaluation method based on time-performance coupling, comprising setting test conditions and data collection schemes; synchronously collecting time-performance data; quantitatively determining three critical time nodes for dividing the whole erosion corrosion cycle into stages of different failure risk levels as the quantitative demarcation points of time-performance coupling; dividing the whole erosion corrosion cycle into risk stages; and performing comprehensive evaluation. The present application has the following advantages: based on the nonlinear evolution characteristics of the erosion corrosion damage mechanism, a dynamic evaluation system of time-performance coupling is established, the whole erosion corrosion cycle is divided into stages of different risk levels by quantitatively determining three critical time nodes, the precise mapping of the time dimension and the material performance attenuation process is realized, and the key problem that the traditional method cannot reflect the whole process behavior of the material from the initial damage to the final failure is solved.

The present application relates to the technical field of structural health monitoring and artificial intelligence decision-making, in particular to a light I-beam reliability analysis system and method thereof, comprising: acquiring attack frequency, attack amplitude and conventional operation stress collected by a multi-modal sensor; calculating basic stress; solving resonance amplification factor; calculating total effective stress; calculating structural integrity entropy, entropy growth rate and entropy growth acceleration; predicting entropy increase collapse critical time window; inputting a deep reinforcement learning model; solving and outputting closed-loop correction control action; if the closed-loop correction control action is to maintain the status quo, then the structural natural frequency and structural damping ratio remain unchanged; if the closed-loop correction control action is preventive structural reinforcement, then the structural natural frequency is increased; if the closed-loop correction control action is to deploy active damper, then the structural damping ratio is increased; the present application constructs a self-consistent feedback closed loop from intelligent decision-making to physical execution, ensuring the physical realizability and convergence of the system anti-fragile strategy.

This application relates to the field of wind power generation technology, and provides a method, device, and wind turbine for emergency protection of wind turbine blade clearance. The method includes: determining the clearance deterioration rate based on clearance monitoring data; and triggering an emergency feathering action at the maximum pitch rate in response to the clearance deterioration rate meeting an emergency triggering condition. This application uses the clearance deterioration rate as a leading trend warning criterion, identifying and proactively intervening in deterioration trends before the absolute clearance falls below the safety threshold. It also overcomes the rate limitations of conventional shutdown logic, rapidly avoiding danger at the maximum pitch rate, significantly shortening the protection response time, and securing a critical time window for establishing a safe clearance margin, effectively reducing the probability of tower sweep accidents.

The invention discloses a time-delay electric power system small signal stability domain internal cavity risk early warning method comprising the following steps: S1, obtaining electric power parameters, and establishing an electric power system model; s2, locally linearizing the model to obtain a characteristic equation; s3, Rekaius transformation is carried out on an exponential term in the characteristic equation; s4, solving the stable critical time lag of the small signal based on the transformed characteristic equation; s5, whether degradation Hopf bifurcation occurs under the critical time lag is judged, and if yes, an early warning signal is sent out; if not, the early warning signal is not sent out. The method has the beneficial effects that whether the risk of cavity occurrence exists in the small signal stability domain of the system is judged by detecting whether the system can generate degradation Hopf bifurcation under the small signal stability critical time lag, and if the risk of cavity occurrence exists in the small signal stability domain, an early warning signal is sent out in time.

The invention relates to reliable control techniques for non-volatile memories. Specifically, the invention relates to a non-volatile memory controller, a control method and a computer program product. The non-volatile memory is provided with a plurality of blocks. A processor of a non-volatile memory controller includes a time tag for recording at least one page in each block for programming. The processor executes a reliability check on a target block corresponding to a target block whose time label exceeds a critical time limit, and moves data of the target block to the standby area when the reliability of the target block is lower than a critical standard.

The application relates to the field of rail transit vehicles and discloses a vehicle holding brake releasing method and device, a storage medium and an electronic device. The method comprises the following steps: determining a starting acceleration according to a traction force at a starting moment, a holding brake force at the starting moment and a starting resistance; determining a critical time for issuing a holding brake releasing instruction according to the starting acceleration and a preset starting condition; determining a target releasing gear stage according to the critical time through a preset gear stage determination model; determining an instruction sending time of the holding brake releasing instruction according to the target releasing gear stage and a preset impact rate limitation threshold; and controlling the starting of a target vehicle according to the target releasing gear stage and the instruction sending time. The time from the sending of the holding brake releasing instruction by the signal system to the starting of the train is greatly shortened, the starting speed of the train is improved, the traction force at the starting moment of the train can be reduced, and the starting impact of the train is reduced.

The invention discloses an energy consumption control and regulation method and system for an intelligent farm, and relates to the technical field of intelligent regulation and control, and the method comprises the steps: carrying out the environment regulation and control according to whether three types of data of a historical temperature and humidity regulation and control value, a historical light intensity regulation and control value and a historical concentration regulation and control value are all at the same regulation and control time point or not; the method comprises the following steps: calculating three historical regulation and control schemes, and training a simulation prediction model I; and if the current external environment characteristic value is a historical change critical time point, counting a first change regulation scheme and a second change regulation scheme which are respectively carried out before the historical change critical time point and before and after the historical change critical time point, training a second simulation prediction model, and carrying out testing through the first simulation prediction model or the second simulation prediction model according to the current external environment characteristic value to obtain a current prediction regulation scheme. According to the energy consumption control and adjustment method and system for the smart farm, the energy consumption control efficiency can be improved.

The application discloses a kind of active front wheel steering time delay feedback controller parameter time delay feasible region's calibration method, and include steps: 1) the vehicle system model of active front wheel steering feedback controller including time delay is established;2) by constructing Lyapunov-Krasovskii functional, time delay independent stability parameter region is solved;3) by Laplace transform solving system characteristic equation, obtain stability discriminant polynomial;4) it is solved to the minimum critical time delay that can be tolerated under time delay independent stability region and time delay related stability zone under different control parameter combinations of system.This application can provide reference for controller stability design, compared with traditional active front wheel steering controller without considering time delay, can more effectively judge whether system meets stability requirement, and reduce control parameter adjustment range, so as to reduce test cost in actual engineering, guarantee the stability of vehicle control system.

The present invention discloses an optimization design calculation method for a motor dimension chain, comprising the following steps: 1) assembling a bearing I (3), a bearing retaining ring (11), a bearing II (12) and a rotor of a motor to form a motor rotor, and obtaining axially relevant dimensions of the motor rotor; 2) assembling a stator, a front end cover (4) and a rear end cover (13) to form a motor stator, and obtaining axially relevant dimensions of the motor stator; 3) installing an adjustment washer (2), and calculating an actual required axial clearance ΔX4 of the motor and an actual deviation ΔX3 of the axial center positions of the stator and rotor; and 4) adjusting the positions of the motor stator and rotor obtained in step 5) according to the actual required axial clearance ΔX4 of the motor and the axial center position deviation ΔX3 of the stator and rotor. The present invention improves motor power density, motor performance parameter consistency, and motor index compliance rate at critical times through refined design.

A reliability control technology for non-volatile memory is shown. A non-volatile memory has a plurality of blocks. For each block, the processor records a time stamp about programming of at least one page in the block. The processor performs a reliability check on the target block that corresponds to a time stamp exceeding a critical time limit and, if the reliability check shows that the target block does not meet a reliability standard, the processor moves data from the target block to a spare space for safe migration.

The invention discloses a power distribution network partition cooperative control method and system based on boundary node attribution, and belongs to the technical field of power distribution network control. According to the method, the damaged critical time period is synchronized through the power of the adjacent power supply areas of the active power time sequence curve; according to a power synchronization damaged critical period and a historical voltage deviation sequence, effectively identifying boundary nodes which generate power oscillation after power synchronization is damaged; the power supply area attribution of each power oscillation boundary node of the adjacent power supply areas is evaluated through historical area reconstruction times and a historical voltage deviation sequence, so that dynamic division of the power supply area attribution of the power oscillation boundary nodes can be realized; and finally, configuring the electrical data of each power supply area through the power supply area affiliation of the power oscillation boundary node, thereby realizing the partition cooperative control of the power distribution network, and improving the adaptability and accuracy of the partition cooperative control of the power distribution network.

This invention relates to the field of equipment control technology and discloses a method and system for graded overpressure interlocking control of thermal equipment. The method includes: calculating the pressure change rate, time margin, and material disturbance index; triggering a first-level interlock if the cavity pressure does not reach the first-level pressure relief threshold but meets the pre-trigger condition or if the cavity pressure reaches the first-level pressure relief threshold; if the cavity pressure continues to rise, entering a pressure relief stage constrained by material disturbance; executing a second-level interlocking pre-protection if the cavity pressure reaches a preset advance protection pressure or the time margin is less than or equal to a preset critical time margin threshold; triggering a hard shutdown if the cavity pressure is greater than or equal to a preset second-level shutdown threshold; exiting the interlocking control state if the cavity pressure drops below a preset recovery threshold and the pressure change rate is not greater than zero for a duration that reaches a preset recovery judgment duration. This invention balances the pressure relief rate and material stability through graded overpressure interlocking control, reducing the probability of shutdown.

Method for determining a critical time for energy saving for the standstill of the spindle of an NC machine tool and for energy saving, characterized in that it comprises the following steps: Step 1, the motion process of the NC machine tool spindle system is divided into two parts, namely a stationary process and a transient process, whereby the total energy consumption E of the motion process of the NC machine tool spindle system is calculated as: E=E S +E T where E denotes the total energy consumption of the motion process of the NC machine tool spindle system; E S the energy consumption of the steady-state process at spindle speed n; E T the energy consumption of the transient process of spindle acceleration from the initial speed n0 to the target speed n1; Step 2, the energy consumption of the NC machine tool spindle system for the stationary process comprises two components, namely the energy consumption for spindle rotation P SR (n) and the energy consumption for the basic machine tool module P B , which are calculated as follows: ES = PS t = [ P SR ( n ) + PB ] t E S =P S t=[P SR (n)+P B ]t where P S The steady-state process power at spindle speed n is denoted; P SR (n) the spindle rotational power at spindle speed n; P B the performance of the basic module of the machine tool; t the steady-state process duration; Step 3, the energy consumption of the transient process of the NC machine tool spindle system is calculated as follows: ET = ∫ 0 t T 1 PT 1 dt + PB ( t T 1 + t T 2 ) + 1 2 [ P SR ( n 0 + 30 α t T 1 π ) + T s ( π n 0 30 + α t T 1 ) + P SR ( n 1 ) ] t T 2 where t T1 denotes the time of the spindle rotation acceleration process, s; P T1 The power of the spindle rotational acceleration, W; P B the power of the NC machine base module, W; t T2 the time of the spindle turning transition process, s; P SR ( n 0 + 30 α t T 1 π ) the power of the spindle rotation at the spindle speed n 0 + 30 α t T 1 π , W; n0 the initial spindle speed, rpm; α the angular acceleration of the spindle rotational acceleration process, rad / s 2 ; T S the acceleration torque of the spindle rotational acceleration, N·m, n1 the target speed of the spindle rotational acceleration, r / min; Step 4, NC machine tool spindle to standstill for energy saving meets the following conditions: (1) The time between machining activities is greater than the critical time for spindle standstill for energy savings; (2) The energy consumption during the process of restarting and accelerating to the target speed n1 after the spindle has stopped is less than the energy consumption of the spindle which maintained the original speed n0 rotation, and the original speed n0 is equal to the target speed n1; where the equation is given as follows: { t I > t min t I ( P SR ( n 1 ) + PB ) > ( t I − t T ) PB + ET where t I denotes the time between two machining operations, s; t min the critical point for spindle standstill to save energy, s; P SR (n1) the spindle rotational power at spindle speed n1, W; n1 the target speed of the spindle rotational acceleration, rpm; P B the power output of the machine base module, W; t T the transient process time of the spindle rotational acceleration, which is the sum of the process time for the spindle rotational acceleration tT1 and the process time for the spindle rotation transition t T2 results in, s; E T the transient process energy consumption of the spindle system, J; Step 5, the critical point in time for spindle standstill to save energy in the NC machine tool system, meets the following conditions: (1) The critical time for stopping the spindle to save energy is greater than or equal to the time for the transient process acceleration of the spindle rotation; (2) Within the critical time t min The energy consumption during the process of the spindle being stationary for a period of time and restarting and accelerating to the target speed n1 is equal to the energy consumption during which the spindle maintained the original rotational speed n0, and the original rotational speed n0 is equal to the target rotational speed n1; where the equation is given as follows: { t min ≥ t T t min ( P SR ( n 1 ) + PB ) = ( t min − t T ) PB + ET where t min denotes the critical point in time when the spindle stops to save energy, s; t T the time of the transient process for accelerating the spindle rotation, which is the sum of the time t T1 to accelerate the spindle rotation process and the time t T2 for the transition of the spindle rotation is, s; P SR (n1) the power of the spindle rotation at spindle speed n1, W; P B the power of the basic module of the machine tool, W; E T the energy consumption of the transient process of the spindle system, J; Step 6, the critical point in time for energy saving through standstill of the spindle of the NC machine tool, can be calculated as follows: t min = 1 2 t TI 2 ( A SR 30 α π + T s α ) + t T 1 B SR + 1 2 t T 2 [ A SR ( 30 α t T 1 π + n 1 ) + T s α t T 1 + 2 B SR ] A SR n 1 + B SR where t T1 denotes the time of the spindle rotation acceleration process, s; A SR the coefficient of the primary term of the formula for spindle rotation power; α the angular acceleration of the spindle rotation acceleration process, rad / s 2 ; T S the acceleration torque of the spindle rotation acceleration, N·m; B SR the constant term of the formula for spindle rotation power; t T2 the time of the spindle rotation transition process, s; n1 the target speed of the spindle rotation acceleration, r / min; Step 7, the energy saving achieved through the energy-saving method of the NC machine tool's spindle system by means of standstill of rotation, is calculated as follows: E SA = t I ( P SR ( n 1 ) + PB ) − ( t I − t T ) PB − ET where E SA The energy saved through the energy-saving procedure involving standstill is denoted as W; t Ithe time between two machining operations, s; P SR (n1) the spindle rotational power at spindle speed n1, W; n1 the target speed for the spindle rotational acceleration, rpm; P B the power of the basic module of the machine tool, W; t T the time for the transient acceleration of the spindle rotation, which is the sum of the time for the acceleration of the spindle rotation t T1 and the time for the transition of the spindle rotation t T2 composes, s; E T the energy consumption of the transient spindle system, J; which is further represented as follows: E SA = ( t I − t min ) P SR ( n 1 ) where t I denotes the time between two machining operations, s; t min the critical point for spindle standstill to save energy, s; P SR(n1) the spindle rotational power at spindle speed n1, W; n1 the target speed for the spindle rotational acceleration, r / min.

The invention relates to a control method and system for oil-saving lubrication of a rock drill. The method comprises the steps that when a starting signal is detected, the air compressor is controlled to be started, and the air compressor is controlled to be kept at a first working frequency through an output electromagnetic valve; when it is detected that the rock drilling pressure is larger than the preset first pressure and it is detected that a rock drilling signal is sent by a preset rock drilling handle, the air compressor is controlled to be kept at the first working frequency through an output electromagnetic valve; and when it is detected that the rock drilling pressure is not larger than the preset first pressure or the preset cumulative time when the rock drilling handle is not operated exceeds the preset critical time, the output electromagnetic valve controls the air compressor to be kept at the second working frequency, and the second working frequency is smaller than the first working frequency. By means of the method, when the rock drilling pressure is lower than the preset pressure value or the duration time when the rock drilling handle is not operated reaches the preset critical time, the output electromagnetic valve is controlled to control the air compressor to work in the low-frequency oil supply mode, and therefore the oil saving function is achieved.

The invention discloses an equipment intelligent operation and maintenance decision-oriented fault diagnosis subsystem design method and device, and relates to the technical field of fault diagnosis, and the method comprises the steps: obtaining the related data of target equipment, and obtaining a plurality of to-be-diagnosed fault modes of the target equipment based on the related data; constructing a plurality of candidate diagnosis algorithm combination schemes based on each to-be-diagnosed fault mode; optimizing the plurality of candidate diagnosis algorithm combination schemes based on an optimization algorithm to obtain a plurality of diagnosis algorithm combination schemes meeting a critical time index; and evaluating the diagnosis precision of the plurality of diagnosis algorithm combination schemes according to the evaluation model, and obtaining an optimal diagnosis algorithm combination scheme based on the diagnosis precision. Through the optimized diagnosis algorithm combination scheme, it is ensured that each related diagnosis algorithm can make a diagnosis conclusion within a critical time index, the capacity of capturing and analyzing early fault signals is improved, the faults are effectively prevented from being diffused in a propagation chain in equipment, and therefore early diagnosis of the faults is achieved.