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CN-121972069-A - Intelligent stirring control method and system thereof

CN121972069ACN 121972069 ACN121972069 ACN 121972069ACN-121972069-A

Abstract

The invention discloses an intelligent stirring control method and system, and relates to the field of stirring systems. The intelligent stirring control method comprises the following steps of S1, system parameter configuration and self-checking, S2, material introduction and basic state monitoring, S3, viscosity dynamic evaluation and initial parameter matching, S4, stirring parameter dynamic feedback adjustment, S5, medicament quantitative addition, S6, material discharge and state checking. According to the intelligent stirring control method and the system thereof, initial parameters are preset in 5 viscosity intervals, and the LSTM model is combined to correct viscosity evaluation in real time, so that the problem that the traditional fixed parameters cannot be adapted to wide-viscosity materials with viscosity of more than 0-2000mPa and s is solved, accurate control can be realized on low-viscosity solutions, high-viscosity pastes and the like, and the intelligent stirring control method and the system are suitable for scene expansion.

Inventors

  • YAN WEN
  • WEN KUNBO
  • ZHU YONG

Assignees

  • 中建三局集团华南有限公司

Dates

Publication Date
20260505
Application Date
20251229

Claims (9)

  1. 1. An intelligent stirring control method is characterized by comprising the following steps: S1, configuring and self-checking system parameters, namely presetting a basic threshold value and adjusting parameters, performing functional verification on a sensor, and loading a pre-trained LSTM viscosity model; S2, material introduction and basic state monitoring, namely, material introduction operation is executed, and basic state parameters of initial liquid level and temperature are synchronously acquired; s3, matching the viscosity dynamic evaluation with the initial parameters, namely collecting the dynamic parameters and the static parameters, evaluating the viscosity of the material in real time through an LSTM model, matching the viscosity to a corresponding interval, and calling the initial stirring parameters of the interval; s4, stirring parameter dynamic feedback adjustment, namely performing parameter adjustment based on real-time feedback of torque and uniformity, and executing cross correction logic; s5, quantitatively adding the medicament, namely executing quantitative medicament adding operation according to the viscosity evaluation result and the stirring state; S6, checking the material discharge and state, namely executing discharge operation, monitoring state parameters of a discharge process, and triggering a new cycle after the discharge is completed.
  2. 2. The intelligent stirring control method according to claim 1, wherein in the S1 system parameter configuration and self-checking step: The basic threshold comprises an upper limit and a lower limit of liquid level, a torque safety threshold, a uniformity standard, and a rotating speed and a blade angle corresponding to each viscosity interval; The torque safety threshold value is calculated as follows Wherein: The unit is N seed m for the rated maximum torque of the motor, The current material density is expressed in kg/m3, Taking 1000 parts of standard material density in kg/m3, such as clear water; The adjusting parameters comprise a single rotating speed adjusting amplitude, a single blade angle adjusting amplitude and a feedback verification interval; the sensor data acquisition frequency of torque, turbidity, temperature and the like is more than or equal to 10Hz.
  3. 3. The intelligent stirring control method according to claim 2, wherein the rotation speed and the blade angle corresponding to each viscosity interval are as follows: the interval 1 of 0-100mPa s, the rotating speed is 300-500r/min, and the blade angle is 15-20 degrees; 101-500mPa, wherein the rotating speed is 501-800r/min, and the blade angle is 21-30 degrees; A section 3 of 501-1000mPa s, wherein the rotating speed is 801-1200r/min, and the blade angle is 31-45 degrees; The interval 4 of 1001-2000mPa and s is that the rotating speed is 1201-1500r/min and the blade angle is 46-60 degrees; 2001mPa, interval 5 above s, the rotational speed is 1501-1800r/min, the blade angle is 61-75 °.
  4. 4. The intelligent stirring control method according to claim 1, wherein in the step of S2 material introduction and basic state monitoring, the collected basic state parameters include: the initial liquid level height is in m; The initial temperature of the material is expressed as a unit of DEG C; the introduction rate, in m3/min, was recorded in real time by a flow sensor.
  5. 5. The intelligent stirring control method according to claim 1, wherein in the step of matching the S3 viscosity dynamic evaluation with the initial parameters: The dynamic parameters comprise a real-time torque T, a motor current, a liquid level fluctuation value and a stirring rotating speed N, wherein the unit of the real-time torque T is N seed m, the unit of the motor current is A, the unit of the liquid level fluctuation value is m, and the unit of the stirring rotating speed N is r/min; Static parameters include real-time temperature of the material And material density , Is in units of °c; The viscosity evaluation step is: Preliminary estimation: wherein K is a characteristic coefficient of the equipment, the propelling equipment takes 0.5, the turbine takes 0.8, Is the rotation speed, and In units of D is the diameter of the blade and the unit is m; LSTM model correction, input Parameters such as initial temperature, density and the like, and outputs final viscosity value And confidence, the confidence is more than or equal to 90 percent and is directly adopted, and the confidence is less than 90 percent and is corrected by combining historical data.
  6. 6. The intelligent stirring control method according to claim 3, wherein in the step of S4 stirring parameter dynamic feedback adjustment, parameter adjustment is performed based on real-time feedback of torque and uniformity, and the torque feedback adjustment logic includes: The torque feedback adjustment logic includes: first-order response, basic speed-reducing regulation, when the torque is real-time When the first-order response is triggered: According to the formula ; Wherein: the value of the speed-reducing adjusting coefficient is 0.1 to 0.15; the current stirring rotation speed is given in units of ; Is the new stirring rotation speed after being regulated, and the unit is ; After the deceleration is executed, 30 seconds delay verification is performed; if the first level responds Entering a stable maintenance mode: the current rotation speed and angle parameters are kept, and fluctuation monitoring is triggered every 2 minutes; If it is Executing limited times of re-deceleration, accumulating deceleration amplitude Original value; the second level response is that the angles are adjusted cooperatively, if the first level response is followed Triggering a secondary response; Adjusting the blade angle by 5-10 degrees, synchronously starting a 30-second verification period, and monitoring the torque fallback condition; If the torque is still Executing limit deceleration and angle readjustment, namely decelerating to the lowest rotating speed in a viscosity interval, additionally reducing the angle by 5 degrees, starting 60-second countdown protection, and forcibly reserving safe buffer time; When the countdown is finished Triggering limit protection: Alarming the system, and forcibly reducing the speed to the lowest safe rotating speed; if the torque falls back to the safe range And the verification is stable for 2 times continuously, and a parameter recovery flow is started: And (5) recovering the rotating speed: verifying torque at 30 second intervals, each increment in 5% amplitude; The angle recovery is carried out in cooperation with the rotational speed recovery by increasing the angle by 2 degrees each time.
  7. 7. The intelligent stirring control method according to claim 6, wherein in the step of S4 stirring parameter dynamic feedback adjustment, uniformity feedback adjustment logic includes: The uniformity calculation formula: ; Wherein: Turbidity deviation is the turbidity deviation of different points in the stirring tank; And Maximum/minimum turbidity values monitored during the stirring period, respectively; When (when) Triggering a first-stage response if the adjustment is carried out for 2 times continuously Triggering a secondary response; First order response, differential adjustment of viscosity intervals: low viscosity interval adjustment strategy for interval 1 and interval 2: preferentially increasing the rotation speed to strengthen the fluid disturbance, and executing '10% +1 min verification of rotation speed increase'; If after verification Maintaining the current rotating speed for 3 minutes, and then falling back to the upper limit rotating speed of the interval to balance the energy consumption and uniformity; If after verification The foam abnormality is switched into angle compensation and speed reduction, namely the angle is increased by 3-5 degrees and the speed is reduced by 5 percent; high viscosity interval adjustment strategy for interval 3-interval 5: enhancing material shearing through angle optimization, and dynamically calculating a new angle according to a formula: ; Wherein: The value of the angle adjusting coefficient is 5-10 degrees; is the current blade angle; Is the adjusted blade angle; Execute "turn up angle +1 Min validation ": If it is Maintaining current angle parameters; If it is Overlapping the angle and the rotating speed to cooperatively adjust, namely re-increasing the angle by 3-5 degrees and increasing the rotating speed by 5 percent; Second-order response, agent and time synergistic compensation After 2 successive primary adjustments Triggering a secondary response: the drug adding step S5 is to add the drug in the quantitative drug adding step; Time compensation, namely prolonging the stirring time by 10% -20%, and executing synchronously with the addition of the medicament; Re-verifying U after adjustment, if it rises back to And if the standard is still not met, triggering the cross correction logic.
  8. 8. The intelligent churning control method of claim 7, wherein the crossover correction logic specifically comprises the following hierarchical correction strategy: 1. Low viscosity interval correction scenario for interval 1 and interval 2: scene 1, reducing speed and torque to cause uniformity to be reduced; When the speed reduction is performed due to the overrun of the torque, the uniformity U is reduced by more than or equal to 10 percent, for example, the uniformity U is reduced from 90 percent to less than or equal to 80 percent, and the correction is triggered: The rotational speed compensation, namely, the rotational speed is increased to 90% -95% before the speed is reduced; the angle synergy is to synchronously enlarge the angle of the blade by 2-3 degrees; Verify closed loop-maintain 1 minute monitoring uniformity after compensation if The current parameters are maintained; If still in the presence of Triggering stirring time to be prolonged; scene 2, increasing the uniformity of rotation speed to cause the torque to approach a threshold value; Cause of cause After the rotational speed is increased, the torque is increased to Triggering correction: Suspending the rotation speed adjustment, namely immediately stopping the operation of further increasing the rotation speed; The angle priority is that the angle of the blade is increased by 3-5 degrees; time compensation, namely synchronously prolonging the stirring time by 5%; the verification period is to monitor the torque and uniformity every 2 minutes, if the torque falls back to And is also provided with Restoring the conventional regulation logic; 2. high viscosity interval correction scenes for interval 3-interval 5; scene 1, increasing the uniformity of angle rise to cause torque jump; Cause of cause After the angle is adjusted, the torque rises to the maximum within 30 seconds Triggering correction: emergency callback, namely immediately callback the angle to 90% before adjustment, and simultaneously reducing the rotating speed by 3% -5%; step-by-step verification, namely maintaining monitoring torque for 1 minute after callback, if stable The angle is adjusted by 50% of the original adjusting amplitude step by step; re-evaluation triggering if torque after callback is still Forced triggering of viscosity reevaluation; Scene 2, reducing speed and keeping torque to cause uniformity to be continuously lower; After 2 continuous downshifts, the torque stabilizes at But is provided with Triggering correction: angle strengthening, namely, on the basis of the current rotating speed, according to a formula The angle is enlarged; step-by-step verification, monitoring uniformity after 30 seconds of each angle adjustment, if U rises back to Maintaining, triggering if the angle reaches the upper limit of the interval: Adding 3% -5% of medicament in an auxiliary manner; Time compensation, namely prolonging the stirring time by 15%; full-interval general extreme scene correction scene; scenario 1, double substandard continuous deterioration, torque And is also provided with ; After 2 consecutive adjustments, neither torque nor uniformity improved, triggering an extreme correction: the safe speed reduction is carried out, namely the speed is forced to be reduced to 80 percent of the minimum rotation speed of the interval, and the blade angle is adjusted to the median of the interval; the mixing mode is that the mode of low speed high angle to medium speed low angle is switched every 2 minutes, and material agglomeration is broken through flow field alternation; if the standard still does not reach after 5 minutes, triggering an audible and visual alarm and a remote notification; scene 2, parameter adjustment accumulation overrun; when the rotation speed adjustment accumulated amplitude is more than or equal to 30% or the angle adjustment accumulated amplitude is more than or equal to 20 degrees within 10 minutes, triggering correction: history comparison, namely automatically calling the history optimal parameter combination of the same viscosity interval by the system; and (3) deviation checking: if the deviation between the current parameter and the historical optimal deviation is more than or equal to 20%, performing parameter homing: the rotational speed callback step by step falls back to the historical reference rotational speed in 5% amplitude each time; angle callback, namely gradually falling back to a historical reference angle in an amplitude of 2 degrees each time; restarting and regulating, namely restarting the conventional torque and uniformity parameter regulating logic after homing.
  9. 9. An intelligent agitation control system for performing an intelligent agitation control method as recited in any one of claims 1-8, comprising: the system parameter configuration and self-checking module is used for presetting a basic threshold value and an adjusting parameter, performing functional verification on the sensor and loading a pre-trained LSTM viscosity model; The material guiding and basic state monitoring module is used for executing material guiding operation and synchronously collecting basic state parameters such as initial liquid level, temperature and the like; the viscosity dynamic evaluation and initial parameter matching module is used for acquiring dynamic parameters and static parameters, evaluating the viscosity of the material in real time through an LSTM model, matching the viscosity to a corresponding interval, and calling initial stirring parameters of the interval; The stirring parameter dynamic feedback adjustment module is used for carrying out parameter adjustment based on real-time feedback of torque and uniformity and executing cross correction logic; The medicament quantitative adding module is used for executing medicament quantitative adding operation according to the viscosity evaluation result and the stirring state; And the material discharging and state checking module is used for executing discharging operation, monitoring state parameters of the discharging process and triggering a new cycle after the discharging is completed.

Description

Intelligent stirring control method and system thereof Technical Field The invention relates to the technical field of stirring systems, in particular to an intelligent stirring control method and system. Background In the stirring process in the industries of chemical industry, food, pharmacy and the like, the material viscosity difference is large, the parameter coupling of the stirring process is strong, the traditional control method relies on experience to set fixed parameters, and the following pain points exist: firstly, high-viscosity materials are easy to cause torque overrun and equipment overload, and low-viscosity materials are easy to influence the mixing uniformity due to uneven flow fields; secondly, the parameter adjustment lacks dynamic feedback, and the real-time change of the material characteristics cannot be adapted; thirdly, coupling contradiction exists between torque and uniformity optimization, and single parameter adjustment is easy to consider. In the prior art, although feedback control is tried to be introduced, a multi-focus single-dimensional parameter (such as only rotating speed is adjusted), a cooperative correction mechanism of torque, uniformity and medicament addition is not formed, and balance of stirring effect and equipment safety under complex working conditions is difficult to ensure. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent stirring control method and a system thereof, which solve the problems of poor parameter adaptability, contradiction between torque and uniformity optimization coupling and insufficient response to abnormal working conditions in complex material stirring. In order to achieve the purpose, the intelligent stirring control method is realized by the following technical scheme that the intelligent stirring control method comprises the following steps: S1, configuring and self-checking system parameters, namely presetting a basic threshold value and adjusting parameters, performing functional verification on a sensor, and loading a pre-trained LSTM viscosity model; S2, material introduction and basic state monitoring, namely, material introduction operation is executed, and basic state parameters such as initial liquid level, temperature and the like are synchronously acquired; s3, matching the viscosity dynamic evaluation with the initial parameters, namely collecting the dynamic parameters and the static parameters, evaluating the viscosity of the material in real time through an LSTM model, matching the viscosity to a corresponding interval, and calling the initial stirring parameters of the interval; s4, stirring parameter dynamic feedback adjustment, namely performing parameter adjustment based on real-time feedback of torque and uniformity, and executing cross correction logic; s5, quantitatively adding the medicament, namely executing quantitative medicament adding operation according to the viscosity evaluation result and the stirring state; S6, checking the material discharge and state, namely executing discharge operation, monitoring state parameters of a discharge process, and triggering a new cycle after the discharge is completed. Preferably, in the step of S1 system parameter configuration and self-checking: the basic threshold comprises upper and lower liquid level limits (10% -90%), a torque safety threshold, uniformity standards (more than or equal to 85%) and rotation speeds and blade angles corresponding to the viscosity intervals; The torque safety threshold value is calculated as follows Wherein: The unit is N seed m for the rated maximum torque of the motor, The current material density is expressed in kg/m3,Taking 1000 parts of standard material density in kg/m3, such as clear water; The adjusting parameters comprise a single rotating speed adjusting range (5% -15%), a single blade angle adjusting range (2-10 ℃) and a feedback verification interval (30 seconds-1 minute); The sensor data acquisition frequency of torque, turbidity, temperature and the like is more than or equal to 10Hz, and the measurement error is less than or equal to +/-2 percent (full range). Preferably, the rotation speed and the blade angle corresponding to each viscosity interval are as follows: the interval 1 of 0-100mPa s, the rotating speed is 300-500r/min, and the blade angle is 15-20 degrees; 101-500mPa, wherein the rotating speed is 501-800r/min, and the blade angle is 21-30 degrees; A section 3 of 501-1000mPa s, wherein the rotating speed is 801-1200r/min, and the blade angle is 31-45 degrees; The interval 4 of 1001-2000mPa and s is that the rotating speed is 1201-1500r/min and the blade angle is 46-60 degrees; 2001mPa, interval 5 above s, the rotational speed is 1501-1800r/min, the blade angle is 61-75 °. Preferably, in the step of S2 material introduction and basic state monitoring, the collected basic state parameters include: The initial liquid level height is m, and the precision is +/