CN-122012133-A - Intelligent control method and device for cracking production line

CN122012133ACN 122012133 ACN122012133 ACN 122012133ACN-122012133-A

Abstract

The application relates to the technical field of solid waste recycling treatment and industrial automatic control, and discloses an intelligent control method and device for a cracking production line, wherein the intelligent control method for the cracking production line calculates a virtual accumulated energy index by collecting operation parameters of a feeding and discharging unit, so as to judge whether a conveying pipe section has a soft blockage trend or not; when the safety condition is met, triggering gas-machine cooperative control to drive a feeding star discharger to execute S-shaped pulse gas locking action, and controlling a raw material feeding auger to execute trapezoidal wave sweep frequency conveying action until the virtual accumulated energy index is recovered. According to the application, the blocking risk is pre-judged in advance through energy monitoring, and high-efficiency dredging is realized through variable frequency vibration and pulse control on the premise of ensuring the airtight safety of the reaction, so that unplanned shutdown is effectively avoided, and the running stability of the production line is improved.

Inventors

ZHANG WEIMIN
ZHANG QING

Assignees

绛县开发区路银粉体材料有限公司

Dates

Publication Date: 20260512
Application Date: 20260208

Claims (10)

1. An intelligent control method for a cracking production line is characterized in that the method is applied to a continuous tire cracking production line, the continuous tire cracking production line comprises a feeding unit and a discharging unit, and the method comprises the following steps: S1, synchronously acquiring operation parameters of a feeding star discharger and a raw material feeding auger in a feeding unit and operation parameters of a discharging unit by utilizing an intelligent self-adaptive optimization layer, and calculating a virtual accumulated energy index in a conveying pipe section based on the acquired operation parameters; S2, monitoring the virtual accumulated energy index in real time, and judging that a soft blockage trend exists in the conveying pipe section when the virtual accumulated energy index exceeds a preset accumulated energy early warning threshold value; s3, detecting real-time material level data of the upstream colloidal particle buffer bin of the feeding unit after judging that the soft blockage trend exists, and checking the security of the material seal according to the real-time material level data; And S4, executing a gas-machine cooperative control logic when the safety of the material seal meets the requirement, controlling the feeding star discharger to execute an S-shaped pulse gas lock action, and simultaneously controlling the raw material feeding auger to execute a trapezoidal wave sweep frequency conveying action until the virtual accumulated energy index is reduced to a preset recovery threshold value.
2. The intelligent control method of a pyrolysis line according to claim 1, wherein prior to calculating the virtual stored energy index, the method further comprises a reference power dynamic self-calibration step: Continuously monitoring real-time current of motor driving equipment in the feeding unit or the discharging unit in a preset time window; if the real-time current is always lower than a preset no-load current threshold value in the time window, judging that the motor driving equipment is in a no-load state; and calculating an arithmetic average value of the power signals in the time window, updating the arithmetic average value into a new no-load reference power, and resetting the virtual accumulated energy index.
3. The method for intelligent control of a cracking line according to claim 1, wherein the step of calculating the virtual accumulated energy index in the conveying pipe section based on the collected operation parameters specifically comprises: Acquiring real-time input power and updated no-load reference power of an upstream feeding unit, and calculating a difference value between the real-time input power and the updated no-load reference power; acquiring real-time output power, real-time rotating speed, updated no-load reference power and rated reference rotating speed of a downstream conveying unit; Taking the ratio of the real-time rotating speed to the rated reference rotating speed as a normalization coefficient, and correcting the difference value between the real-time output power of the downstream conveying unit and the updated no-load reference power by using the normalization coefficient; performing an integral operation with respect to time on a difference between the power difference of the upstream feeding unit and the corrected power difference of the downstream conveying unit; And subtracting a natural dissipation factor from the integral operation to obtain the current virtual accumulated energy index.
4. The intelligent control method of a cracking production line according to claim 1, wherein the step of determining that there is a tendency of soft blockage in the conveying pipe section specifically includes: continuously recording historical data of the virtual accumulated energy index in a sliding time window; Calculating the change rate of the virtual accumulated energy index in a sliding time window; and generating a soft blockage state flag bit only when the virtual accumulated energy index is larger than an accumulated energy early warning threshold value and the change rate is larger than a preset trend growth rate threshold value, and judging that the soft blockage trend exists.
5. The intelligent control method of a cracking production line according to claim 1, wherein the step of verifying the seal safety according to the real-time level data specifically comprises: Comparing the real-time material level data of the colloidal particle buffer bin with a preset safe material level threshold value; if the real-time material level data is larger than or equal to the safe material level threshold, judging that the material level data has an airtight safety condition, generating a cooperative control permission instruction, and allowing the feeding star discharger and the raw material feeding auger to be simultaneously regulated; If the real-time material level data is smaller than the safe material level threshold value, judging that the air tightness is at risk, and forcibly locking the pulse control function of the feeding star discharger only allows the raw material feeding auger to execute sweep operation.
6. The intelligent control method of a cracking production line according to claim 1, wherein the step of controlling the feeding star discharger to perform an S-type pulse airlock action specifically comprises: Transmitting a pulse control instruction containing acceleration and deceleration characteristics to a driving device of the feeding star discharger; The driving device controls the motor to rise from zero speed to set low speed according to the S-shaped acceleration curve, and operates for a preset time to fill the blade cavity; And then the driving device controls the motor to stop according to the S-shaped deceleration curve, and a physical air lock is formed by using the stopping gap.
7. The intelligent control method of a pyrolysis production line according to claim 1, wherein the step of controlling the raw material feeding auger to perform trapezoidal wave sweep frequency conveying action comprises: Superposing trapezoidal modulation waves on the basis of the reference conveying frequency, and calculating real-time instruction frequency, wherein the trapezoidal modulation waves sequentially output waveform signals of linear rising, high-order maintaining, linear falling and low-order maintaining in one modulation period; Judging whether the instruction frequency falls within a preset mechanical resonance frequency band range; If the command frequency falls within the range of the mechanical resonance frequency band, forcibly jumping the output frequency to the boundary frequency of the mechanical resonance frequency band; and if the command frequency does not fall into the range of the mechanical resonance frequency band, directly outputting the command frequency.
8. The method for intelligently controlling a cracking production line according to claim 1, wherein the reaction unit of the continuous tire cracking production line is provided with a double thermocouple, and the method further comprises a temperature control step based on the double thermocouple: synchronously collecting a first temperature value of a main thermocouple and a second temperature value of a redundant thermocouple; selecting the maximum value of the first temperature value and the second temperature value as a process feedback value, and performing PID closed-loop adjustment on the heating coil based on the process feedback value; and calculating a difference value between the first temperature value and the second temperature value, and triggering a sensor fault alarm and locking heating power when the difference value exceeds an allowable temperature difference threshold.
9. The intelligent control method of a cracking production line according to claim 1, further comprising a main power supply power-down protection step: Monitoring the voltage state of a main power supply in real time, and when the voltage drop of the main power supply is detected to be below an undervoltage threshold value, cutting off non-critical loads and switching on a standby power supply; controlling a driving frequency converter of a cracking main furnace in the continuous tire cracking production line to enter a low-frequency turning mode; And in the low-frequency jigger mode, calculating a target voltage amplitude based on a stator resistance voltage drop compensation algorithm, injecting a voltage vector capable of overcoming static friction force into the motor, and driving the cracking main furnace to rotate at a frequency lower than one percent to two percent of rated frequency.
10. An intelligent control device for a cracking production line, characterized in that the device comprises a group of physical process equipment and a layered control device configured to perform the method of any one of claims 1-9, the layered control device comprising: The full-parameter data acquisition module is used for acquiring motor operation parameters, temperature parameters and material level parameters of the feeding unit and the discharging unit; The energy state observation module is used for calculating a virtual accumulated energy index based on the acquired parameters and judging whether a soft blockage trend exists or not according to the virtual accumulated energy index; And the gas-machine cooperative control module is used for detecting material level data after judging that the soft blockage trend exists so as to check the safety of the material seal, and controlling the feeding unit to execute the cooperative dredging of the S-shaped pulse gas locking action and the trapezoidal wave sweep frequency conveying action when the safety of the material seal meets the requirement.

Description

Intelligent control method and device for cracking production line Technical Field The invention relates to the technical field of solid waste recycling treatment and industrial automation control, in particular to an intelligent control method and device for a cracking production line. Background Continuous waste tire cracking production lines require high continuity and stability of material delivery, but broken rubber powder raw materials generally have strong viscosity and compressibility, and are easy to accumulate at a feeding auger and a connecting pipe section in long-period operation. The current general control strategy in the industrial field mainly depends on the absolute amplitude of the current of the driving motor as a fault judgment basis, and the system can trigger an alarm or protect the stop only when the load of the motor is increased suddenly and reaches an overload skip stop threshold value due to material accumulation. The early material accumulation trend cannot be identified by the hysteresis judgment mode based on the result, so that when faults are confirmed, compact physical hard blockage is often formed in the conveying pipeline, the cleaning difficulty is high, the production time is long when the production is recovered, and the service life of transmission equipment is obviously reduced due to frequent overload start-stop impact. On the other hand, the continuous cracking process needs to be carried out in a strict airtight anaerobic environment, and the feeding unit not only bears the conveying function, but also plays a key material sealing role in isolating the reaction kettle from the external atmosphere. The existing feeding control system generally lacks a linkage checking mechanism for air tightness safety and dredging actions, and when the feeding control system is used for dealing with poor conveying, the motor is often directly controlled to execute reversing or oscillating actions. If the material level of the upstream buffer bin is insufficient to form an effective material seal, the blind execution of a large-scale mechanical adjustment action is extremely easy to cause physical seal failure, and high-temperature pyrolysis gas is reversely blown or outside air is sucked, so that serious safety accidents are caused. Therefore, the invention provides an intelligent control method and device for a cracking production line, which solve the defects in the prior art. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent control method and device for a cracking production line, which solve the problems that the existing continuous tire cracking production line is easy to cause unplanned shutdown due to blockage detection lag, and the dredging and adjusting process lacks of stock seal safety verification and has air tightness risk. In order to achieve the purpose, the intelligent control method of the cracking production line is applied to a continuous tire cracking production line, the continuous tire cracking production line comprises a feeding unit and a discharging unit, and the method comprises the following steps of: S1, synchronously acquiring operation parameters of a feeding star discharger and a raw material feeding auger in a feeding unit and operation parameters of a discharging unit by utilizing an intelligent self-adaptive optimization layer, and calculating a virtual accumulated energy index in a conveying pipe section based on the acquired operation parameters; S2, monitoring the virtual accumulated energy index in real time, and judging that a soft blockage trend exists in the conveying pipe section when the virtual accumulated energy index exceeds a preset accumulated energy early warning threshold value; s3, detecting real-time material level data of the upstream colloidal particle buffer bin of the feeding unit after judging that the soft blockage trend exists, and checking the security of the material seal according to the real-time material level data; And S4, executing a gas-machine cooperative control logic when the safety of the material seal meets the requirement, controlling the feeding star discharger to execute an S-shaped pulse gas lock action, and simultaneously controlling the raw material feeding auger to execute a trapezoidal wave sweep frequency conveying action until the virtual accumulated energy index is reduced to a preset recovery threshold value. Preferably, before calculating the virtual stored energy index, the method further comprises a reference power dynamic self-calibration step: Continuously monitoring real-time current of motor driving equipment in the feeding unit or the discharging unit in a preset time window; if the real-time current is always lower than a preset no-load current threshold value in the time window, judging that the motor driving equipment is in a no-load state; and calculating an arithmetic average value of the power signals in the time window, updating th