Intelligent control method and device for cracking production line

Abstract

The invention relates to the technical field of solid waste resourceful treatment and industrial automation control, and discloses a cracking production line intelligent control method and device.According to the cracking production line intelligent control method, a virtual accumulated energy index is calculated by collecting operation parameters of a feeding and discharging unit, and accordingly whether a conveying pipe section has a soft blockage trend or not is judged; after it is confirmed that the blocking trend exists, the material level of the colloidal particle buffering bin is detected to verify the material sealing safety; and when the safety condition is met, gas machine cooperative control is triggered, the feeding star-shaped discharger is driven to execute S-shaped pulse airlock action, and meanwhile, the raw material feeding auger is controlled to execute trapezoidal wave frequency sweeping conveying action until the virtual accumulated energy index is recovered. The blockage risk is pre-judged in advance through energy monitoring, efficient dredging is achieved through frequency conversion vibration and pulse control on the premise that reaction airtight safety is guaranteed, non-planned shutdown is effectively avoided, and the operation stability of a production line is improved.

Description

Technical Field

[0001] This invention relates to the field of solid waste resource utilization and industrial automation control technology, specifically to an intelligent control method and device for a pyrolysis production line. Background Technology

[0002] Continuous waste tire pyrolysis production lines require highly continuous and stable material conveying. However, the crushed rubber powder raw material typically exhibits strong viscosity and compressibility, making it prone to accumulation at the feed auger and connecting pipe sections during long-term operation. Currently, the common control strategies in industrial settings rely primarily on the absolute amplitude of the drive motor's current as the basis for fault diagnosis. Typically, the system only triggers an alarm or protective shutdown when material accumulation causes a surge in motor load, reaching the overload trip threshold. This result-based, lagging judgment method fails to identify early material accumulation trends. Consequently, by the time a fault is confirmed, a dense physical blockage has often formed within the conveying pipeline. This not only makes cleaning difficult and time-consuming, but also significantly reduces the lifespan of the transmission equipment due to frequent overload start-stop shocks.

[0003] On the other hand, continuous pyrolysis processes require a strictly sealed anaerobic environment. The feeding unit not only performs the conveying function but also plays a crucial role in isolating the reactor from the outside atmosphere. Existing feeding control systems typically lack a linkage verification mechanism for airtightness and unblocking operations. When dealing with conveying difficulties, they often directly control the motor to reverse or vibrate. If the material level in the upstream buffer bin is insufficient to form an effective sealing, blindly performing large-scale mechanical adjustments can easily lead to physical seal failure, causing high-temperature pyrolysis gas to backflow or outside air to be drawn in, thus triggering a serious safety accident.

[0004] Therefore, this invention proposes an intelligent control method and device for pyrolysis production lines to address the shortcomings of existing technologies. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent control method and device for pyrolysis production lines, which solves the problems of unplanned shutdowns caused by delayed blockage detection in existing continuous tire pyrolysis production lines, and the risk of airtightness due to the lack of material seal safety verification during the unblocking and adjustment process.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control method for a pyrolysis production line, the method being applied to a continuous tire pyrolysis production line, the continuous tire pyrolysis production line comprising a feeding unit and a discharging unit, the method comprising the following steps:

[0007] S1. The operating parameters of the feed star unloader and the raw material feed auger in the feeding unit and the operating parameters of the discharge unit are collected synchronously using the intelligent adaptive optimization layer. The virtual accumulated energy index in the conveying pipe section is calculated based on the collected operating parameters.

[0008] S2. Monitor the virtual accumulated energy index in real time. When the virtual accumulated energy index exceeds the preset accumulated energy warning threshold, determine that there is a soft blockage trend in the conveying pipe section.

[0009] S3. After determining that the soft blockage trend exists, detect the real-time material level data of the upstream granule buffer bin of the feeding unit, and verify the material seal safety based on the real-time material level data.

[0010] S4. When the material sealing safety meets the requirements, execute the pneumatic-motor coordinated control logic to control the feed star unloader to perform S-type pulse airlock action, and simultaneously control the raw material feed auger to perform trapezoidal wave sweep frequency conveying action until the virtual accumulated energy index drops to the preset recovery threshold.

[0011] Preferably, before calculating the virtual accumulated energy index, the method further includes a reference power dynamic self-calibration step:

[0012] The real-time current of the motor drive device in the feeding unit or the discharging unit is continuously monitored within a preset time window.

[0013] If the real-time current is consistently lower than the preset no-load current threshold within the time window, the motor drive device is determined to be in a no-load state.

[0014] Calculate the arithmetic mean of the power signal within the time window, update the arithmetic mean to the new idle reference power, and reset the virtual accumulated energy index to zero.

[0015] Preferably, the step of calculating the virtual accumulated energy index within the delivery pipeline section based on the collected operating parameters specifically includes:

[0016] Obtain the real-time input power and the updated no-load reference power of the upstream feeding unit, and calculate the difference between the real-time input power and the updated no-load reference power;

[0017] Obtain the real-time output power, real-time speed, updated no-load reference power, and rated reference speed of the downstream conveying unit;

[0018] The ratio of the real-time rotational speed to the rated reference rotational speed is used as a normalization coefficient, and the difference between the real-time output power of the downstream conveying unit and the updated no-load reference power is corrected using the normalization coefficient.

[0019] The difference between the power difference of the upstream feeding unit and the corrected power difference of the downstream conveying unit is integrated with respect to time.

[0020] Subtracting the natural dissipation factor from the integral operation yields the current virtual accumulated energy index.

[0021] Preferably, the step of determining the presence of a soft blockage trend in the delivery pipe section specifically includes:

[0022] The historical data of the virtual accumulated energy index are continuously recorded within a sliding time window;

[0023] Calculate the rate of change of the virtual accumulated energy index within the sliding time window;

[0024] A soft blockage status flag is generated only when the virtual accumulated energy index is greater than the accumulated energy warning threshold and the rate of change is greater than the preset trend growth rate threshold, thus determining that the soft blockage trend exists.

[0025] Preferably, the step of verifying the safety of the material seal based on the real-time material level data specifically includes:

[0026] The real-time material level data of the granule buffer bin is compared with the preset safe material level threshold.

[0027] If the real-time material level data is greater than or equal to the safe material level threshold, it is determined that the airtight safety conditions are met, and a collaborative control permission command is generated, allowing simultaneous adjustment of the feed star unloader and the raw material feed auger.

[0028] If the real-time material level data is less than the safe material level threshold, it is determined that there is a risk to airtightness, and the pulse control function of the feed star unloader is forcibly locked, allowing only the frequency sweep operation to be performed on the raw material feed auger.

[0029] Preferably, the step of controlling the feed rotary valve to perform the S-type pulse airlock action specifically includes:

[0030] Send pulse control commands containing acceleration and deceleration characteristics to the drive unit of the feed star unloader;

[0031] The drive device controls the motor to rise from zero speed to a set low speed according to the S-shaped acceleration curve, and runs for a preset time to fill the blade cavity;

[0032] Subsequently, the drive device controls the motor to stop according to the S-shaped deceleration curve, and forms a physical airlock by utilizing the stop gap.

[0033] Preferably, the step of controlling the raw material feeding auger to perform trapezoidal wave sweep frequency conveying includes:

[0034] A trapezoidal modulation wave is superimposed on the reference transmission frequency to calculate the real-time command frequency. The trapezoidal modulation wave sequentially outputs waveform signals of linear rise, high-level hold, linear fall, and low-level hold within one modulation cycle.

[0035] Determine whether the command frequency falls within the preset mechanical resonance frequency band.

[0036] If the command frequency falls within the mechanical resonance frequency band, the output frequency will be forced to jump to the boundary frequency of the mechanical resonance frequency band;

[0037] If the command frequency does not fall within the mechanical resonance frequency band, the command frequency is output directly.

[0038] Preferably, the reaction unit of the continuous tire pyrolysis production line is equipped with dual thermocouples, and the method further includes a temperature control step based on the dual thermocouples:

[0039] Simultaneously acquire the first temperature value of the main thermocouple and the second temperature value of the redundant thermocouple;

[0040] The maximum value between the first temperature value and the second temperature value is selected as the process feedback value, and the heating coil is subjected to PID closed-loop regulation based on the process feedback value.

[0041] Calculate the difference between the first temperature value and the second temperature value. When the difference exceeds the allowable temperature difference threshold, trigger a sensor fault alarm and lock the heating power.

[0042] Preferably, the method further includes a main power failure protection step:

[0043] The voltage status of the main power supply is monitored in real time. When the voltage of the main power supply drops below the undervoltage threshold, non-critical loads are disconnected and backup power is switched on.

[0044] The drive frequency converter of the main furnace in the continuous tire pyrolysis production line is controlled to enter the low-frequency turning mode.

[0045] In the low-frequency turning mode, the target voltage amplitude is calculated based on the stator resistance voltage drop compensation algorithm, and a voltage vector capable of overcoming static friction is injected into the motor to drive the pyrolysis main furnace to rotate at a frequency of one to two percent lower than the rated frequency.

[0046] The present invention also provides an intelligent control device for a pyrolysis production line, the device comprising a group of physical process equipment and a hierarchical control device, the hierarchical control device being configured to perform the above method, the hierarchical control device comprising:

[0047] The full-parameter data acquisition module is used to collect motor operating parameters, temperature parameters, and material level parameters of the feeding unit and the discharging unit;

[0048] The energy state observation module is used to calculate the virtual accumulated energy index based on the collected parameters, and to determine whether there is a soft blockage trend based on the virtual accumulated energy index.

[0049] The pneumatic-mechanical coordinated control module is used to detect material level data to verify the safety of the material seal after determining that the soft blockage trend exists, and when the safety of the material seal meets the requirements, it controls the feeding unit to perform coordinated unblocking of the S-type pulse airlock action and trapezoidal wave frequency sweep conveying action.

[0050] This invention provides an intelligent control method and apparatus for a pyrolysis production line. It has the following beneficial effects:

[0051] 1. This method calculates the virtual accumulated energy index within the conveying pipe section by collecting the power and speed differences between the inlet and outlet units, and incorporates time-integral calculations and a natural dissipation factor. This method quantifies the accumulation trend of raw materials in the pipeline, thus identifying soft blockage trends before the equipment current triggers an overload shutdown alarm. Compared to traditional hysteresis protection relying solely on current thresholds, this method advances the control point, effectively avoiding unplanned shutdowns caused by severe physical blockages and ensuring long-term stable operation of the continuous pyrolysis production line.

[0052] 2. This method employs a pneumatic-mechanical coordinated control logic between the feed star-shaped unloader and the raw material feed auger. Before executing the unblocking action, the system first verifies whether the material level in the granule buffer bin meets the material sealing requirements, eliminating the risk of high-temperature pyrolysis gas backflow or air intake caused by blind unblocking. Simultaneously, the S-type pulse airlock action utilizes the material filling the gaps between the blades to form a physical barrier, combined with the variable frequency vibration generated by the trapezoidal wave sweeping action to disrupt material bridging. This not only solves the problem of material adhesion and blockage in the conveying pipe section but also strictly maintains the anaerobic environment required for the pyrolysis process.

[0053] 3. This method integrates a main power supply failure protection mechanism, which can automatically switch to backup power and enter low-frequency turning gear mode when a voltage drop is detected. Through a stator resistance voltage drop compensation algorithm, the driver can inject a voltage vector sufficient to overcome static friction into the motor, enabling the fully loaded high-temperature pyrolysis main furnace to rotate continuously at an extremely low frequency. This effectively prevents the high-temperature reactor from bending or permanent thermal deformation due to prolonged stillness and uneven heating during power outages, thus extending the mechanical life of the core reaction equipment. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the overall architecture of the intelligent control system for the pyrolysis production line of the present invention;

[0055] Figure 2 This is a schematic diagram of the control logic architecture of the present invention;

[0056] Figure 3 This is a schematic diagram of the main process of the intelligent control method for the pyrolysis production line of the present invention;

[0057] Figure 4 This is a schematic diagram of the frequency response waveform during the gas-mechanical coordinated unblocking control of the present invention.

[0058] The system comprises the following components: 10. Feeding unit; 20. Reaction unit; 30. Discharge unit; 40. Auxiliary conveying unit; 50. Environmental safety unit; 100. Intelligent adaptive optimization layer; 110. Full parameter data acquisition module; 120. Energy state observation module; 121. Virtual accumulated energy calculation unit; 122. Reference dynamic self-calibration unit; 130. Gas-machine coordinated control module; 131. Material seal permission verification unit; 132. Cooperative execution unit; 200. Basic logic and safety interlock layer; 210. Flow direction decoupling and timing control module; 220. Thermodynamic closed-loop control module; 230. Gas phase balance and environmental safety module; 300. Special working conditions and emergency protection layer; 310. Power failure monitoring and load reduction module; 320. Low power consumption turning gear protection module. Detailed Implementation

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] See attached document Figure 1 , Figure 1 A schematic diagram of the overall architecture of an intelligent control system for a tire pyrolysis production line according to an embodiment of the present invention is shown. The present invention provides an intelligent control device for a tire pyrolysis production line, which is applied to a continuous tire pyrolysis production line.

[0061] The intelligent control system for the pyrolysis production line mainly includes a group of physical process equipment and a hierarchical control device. The physical process equipment group is logically divided into a feeding unit 10, a reaction unit 20, a discharge unit 30, an auxiliary conveying unit 40, and an environmental safety unit 50.

[0062] The feeding unit 10 includes a feed rotary valve and a raw material feed auger arranged in series. The feed rotary valve is located at the front end of the feeding section and is used to control the initial feed rate of the raw material and form an airlock; the raw material feed auger is located downstream of the feed rotary valve and is used to transport the raw material into the reactor. The feeding unit 10 also includes an upstream granule buffer silo, which is equipped with a radar level gauge for real-time monitoring of the material accumulation height within the buffer silo.

[0063] The reaction unit 20 is a pyrolysis main furnace, which is driven to rotate by a main drive motor and is equipped with four sets of medium-frequency induction heating coils and corresponding wireless sensing thermocouples for zoned temperature monitoring and heating control.

[0064] The discharge unit 30 includes a horizontal carbon black conveying auger, a first carbon black inclined lifting auger, and a second carbon black inclined lifting auger, used to output the solid products after pyrolysis. The auxiliary conveying unit 40 includes a carbon black silo discharge auger related to the conveying of crude carbon black, a carbon black rotary valve motor, and a crude carbon black conveying fan.

[0065] The environmental safety unit 50 includes a gas probe array, an oxygen analyzer, a pyrolysis gas compressor, and related pressure and flow sensors distributed throughout the workshop area.

[0066] The hierarchical control device interacts with the actuators and sensors in the physical process equipment group via an industrial fieldbus. At the hardware level, the hierarchical control device includes a central processing unit and frequency converters connected to each motor. In this embodiment, the frequency converter is a frequency converter with closed-loop vector control or a servo driver with programmable function. The frequency converter is equipped with a communication interface, which can receive real-time instructions from the central processing unit and has the ability to adjust the output frequency, set torque limits, and execute S-curve acceleration and deceleration control at the millisecond level.

[0067] See attached document Figure 2 , Figure 2 This is a control logic architecture diagram according to an embodiment of the present invention. The hierarchical control device is divided into three levels in terms of logical function: intelligent adaptive optimization layer 100, basic logic and safety interlock layer 200, and special working condition and emergency protection layer 300.

[0068] The intelligent adaptive optimization layer 100 is located at the top level of the control logic and is used to implement active anti-clogging control under unsteady conditions. The intelligent adaptive optimization layer 100 includes a full parameter data acquisition module 110, an energy state observation module 120, and a gas turbine coordinated control module 130.

[0069] The full-parameter data acquisition module 110 is configured to synchronously acquire current, torque, and speed data of each motor, as well as thermocouple temperature, pipe wall temperature, and level gauge data, and perform filtering and preprocessing on the acquired data.

[0070] The energy state observation module 120 is configured to calculate a virtual accumulated energy index based on acquired kinetic parameters and dynamically calibrate a reference power. The energy state observation module 120 includes a virtual accumulated energy calculation unit 121 and a reference dynamic self-calibration unit 122. The virtual accumulated energy calculation unit 121 calculates the material accumulation state based on the differential integral of the input power and output power; the reference dynamic self-calibration unit 122 updates the power reference value during equipment idle periods to eliminate integral drift.

[0071] The pneumatic-mechanical co-control module 130 is configured to generate co-control commands when a soft blockage trend is detected. The pneumatic-mechanical co-control module 130 includes a material seal clearance verification unit 131 and a co-execution unit 132. The material seal clearance verification unit 131 is used to determine whether airtight safety conditions are met based on the material level in the buffer hopper; the co-execution unit 132 is used to send an S-type pulse control command to the feed star-shaped unloader and simultaneously send a trapezoidal wave sweep frequency control command to the raw material feed auger.

[0072] The basic logic and safety interlock layer 200 is used to maintain the steady-state operation and basic safety of the production line. The basic logic and safety interlock layer 200 includes a flow direction decoupling and timing control module 210, a thermodynamic closed-loop control module 220, and a gas phase balance and environmental safety module 230.

[0073] The flow direction decoupling and timing control module 210 is configured to execute the reverse-sequence start-up and sequential stop logic of the equipment, and to force the upstream equipment to trip in case of a downstream equipment failure. The thermodynamic closed-loop control module 220 is configured to perform PID regulation and over-temperature cutoff of the medium-frequency induction heating coil based on the feedback signal of dual thermocouples. The gas phase balance and environmental safety module 230 is configured to link the fan according to the gas probe data and adjust the compressor operating status according to the compressor inlet and outlet pressures.

[0074] The special operating condition and emergency protection layer 300 is used to protect core equipment under extreme operating conditions such as power supply anomalies. The special operating condition and emergency protection layer 300 includes a power failure monitoring and load reduction module 310 and a low-power turning gear protection module 320.

[0075] The power failure monitoring and load reduction module 310 is configured to monitor the main power supply status and disconnect non-critical loads when power is lost. The low-power turning gear protection module 320 is configured to control the drive motor of the cracking main furnace to enter a low-frequency, high-torque operating mode after the backup power supply is put into operation, so as to maintain the furnace body at a low speed at high temperature.

[0076] See attached document Figure 3 , Figure 3 This is a general control flowchart according to an embodiment of the present invention. The present invention provides an intelligent control method for a pyrolysis production line, comprising the following steps:

[0077] S100 utilizes an intelligent adaptive optimization layer to collect real-time operating data from the feeding and discharging units and calculate the virtual accumulated energy index.

[0078] S200: When the virtual accumulated energy index exceeds a preset threshold, determine whether there is a soft blockage trend.

[0079] S300: If a soft blockage trend is detected, the material level data upstream of the feeding unit is checked to verify the safety of the material seal.

[0080] S400, when the material sealing safety meets the requirements, executes the pneumatic-motor coordinated control logic, applies S-type pulse control to the feed star unloader, and applies trapezoidal wave sweep frequency control to the raw material feed auger;

[0081] S500: If the virtual accumulated energy index does not exceed the preset threshold, or the gas turbine coordinated control logic has been completed, the basic logic and safety interlock layer will perform the conventional PID closed-loop control and flow direction decoupling timing control.

[0082] The S600 monitors the main power status in real time during operation. If a main power failure is detected, it triggers the low-power turning logic of the special operating conditions and emergency protection layer until the main power is restored.

[0083] See attached document Figure 3 In the intelligent control method for a pyrolysis production line provided in this embodiment of the invention, step S100 is executed by the intelligent adaptive optimization layer, which is mainly responsible for the synchronous acquisition of all parameter data and the dynamic calibration of the reference power, providing an accurate data foundation for subsequent soft blockage analysis. S100 specifically includes:

[0084] S101, the intelligent adaptive optimization layer establishes communication connections with the feed star-shaped unloader and raw material feed auger of the feeding unit 10, the carbon black horizontal conveying auger of the discharge unit 30, and the temperature sensor array of the reaction unit 20 via an industrial fieldbus. The control system synchronously reads the real-time operating parameters of each motor at a preset sampling period. The collected parameters include real-time current, output torque, and real-time speed, which describe the dynamic state; among them, the output torque and real-time speed data are directly obtained from the internal register feedback of the vector inverter or servo driver, without the need for an external torque sensor. At the same time, the system collects in parallel the thermocouple temperature of each temperature zone of the pyrolysis main furnace, the temperature sensor data of the conveying pipe wall, and the radar level gauge data of the granule buffer bin. After being timestamped and aligned, the above data together constitute a multi-dimensional state space describing the operating status of the production line.

[0085] To address electromagnetic interference and mechanical vibration noise present in industrial environments, the control system performs moving average filtering on the acquired raw current and power signals. This process establishes a first-in, first-out (FIFO) data queue of length N, calculating the arithmetic mean of the N most recent samples in the queue as the current valid measurement value. The value of N ranges from 5 to 10. This filtering process smooths high-frequency random fluctuations and extracts the true trend signal reflecting changes in equipment load. The specific algorithm implementation for moving average filtering is a standard technique in signal processing and will not be elaborated upon here.

[0086] S102, the system executes the reference power dynamic self-calibration logic. Because the pyrolysis production line operates in a high-temperature and continuous environment, the mechanical characteristics of the conveying equipment change slowly over time. For example, bearing wear in screw conveyors, changes in chain or belt tension, and temperature-dependent viscosity drift in lubricating oil can all cause changes in the no-load power of the equipment when no material is being conveyed. If a fixed rated power is used as the reference, this zero-point drift will introduce cumulative errors, leading to false alarms or missed alarms in subsequent blockage detection based on energy integration.

[0087] To address the aforementioned technical issues, this embodiment dynamically captures intermittent idle periods during the production process and updates the equipment's no-load reference power in real time. The system has a preset no-load current threshold. and calibration time window During production line operation, the system continuously monitors the real-time current of the feed auger or rotary valve. .

[0088] The system determines that the device is currently in a stable no-load operating state when the following logical conditions are met:

[0089] ;

[0090] The above formula represents the current time. The previous duration was Within the specified time window, the device current remains below the preset no-load current threshold.

[0091] Once the equipment is confirmed to be in an idle state, the system triggers a baseline update. The system calculates this time window. The arithmetic mean of the internal power signal is calculated, and this result is updated to the new no-load reference power. The update logic is as follows:

[0092] ;

[0093] In the formula, The sampling period is The number of sampling points within the time window, i.e. , This represents the real-time input power after filtering.

[0094] Update the no-load reference power Simultaneously, the system forcibly resets the virtual accumulated energy index used to characterize the material accumulation state in subsequent steps, bringing it to zero. This step eliminates zero-point drift errors generated by sensors and mechanical transmission systems over time. Through this dynamic self-calibration mechanism, the control system can automatically adapt to equipment aging and changes in mechanical characteristics, ensuring that the energy difference calculated subsequently only reflects the actual work done in material conveying, thereby improving the robustness and accuracy of anti-blocking control.

[0095] S103, Virtual Accumulated Energy Index Calculation. This step is performed by the Virtual Accumulated Energy Calculation Unit in the Energy State Observation Module.

[0096] Traditional pyrolysis production line conveyor control often relies solely on the instantaneous current threshold of a single motor for overload protection. However, the rubber particles and carbon black materials produced by waste tire pyrolysis are compressible and viscous. When a slight blockage (i.e., soft blockage) occurs in the conveying pipeline in its initial stage, the current of a single motor does not immediately change abruptly, but rather manifests as an imbalance in the upstream and downstream load relationship. To address the hysteresis problem of single threshold alarms in existing technologies, this embodiment constructs a deterministic observation model based on the principle of energy conservation. By calculating the virtual accumulated energy index within the pipe section through real-time integration, it quantifies the degree of material accumulation inside the conveying pipeline.

[0097] Specifically, the system establishes an energy balance model for the conveying pipe section, regarding the upstream feeding unit (e.g., the feed star unloader) as the energy input source of the system and the downstream conveying unit (e.g., the raw material feeding auger) as the energy output source of the system. In an ideal steady-state conveying process, the input energy and the output energy should maintain a dynamic balance. If the input energy is consistently higher than the output energy, it indicates that the material has accumulated unexpectedly in the conveying pipe section.

[0098] The virtual accumulated energy calculation unit calculates the current virtual accumulated energy index in real time based on the collected real-time power and speed data, according to the following virtual accumulated energy index calculation formula. :

[0099] ;

[0100] In the formula, express The virtual accumulated energy index at any given time reflects the energy deviation of the accumulated material in the pipe section relative to the baseline state. This indicates the start time of integration, which is the time when the last system reset or reference dynamic self-calibration was completed. Represents the integral variable; express The real-time input power of the upstream feeding unit at any given time is the effective power after filtering. This represents the no-load reference power of the upstream feeding unit, which is obtained and updated by the aforementioned reference dynamic self-calibration step; express Real-time output power of the downstream conveying unit; This indicates the no-load reference power of the downstream conveying unit; express Real-time rotational speed of the downstream conveyor unit; This indicates the rated reference speed of the downstream conveying unit, and introduces a ratio. This is to normalize and correct the output power under variable frequency speed control conditions, so as to ensure that the energy calculations at different speeds are comparable. This represents the upstream feeding efficiency coefficient, which is related to the bulk density of the material and the volumetric efficiency of the feeding equipment. This represents the downstream conveying efficiency coefficient, which is related to the geometric parameters of the propeller blades and the propulsion efficiency. It represents the natural dissipation factor, which serves as a forgetting factor for the system. It is used to simulate the minute compaction loss of materials during the transportation process and the system's heat loss, and also helps to prevent the integral term from drifting to zero during long-term operation.

[0101] Using the above calculation model, the control system can quantify the "input-output" difference of materials within the pipe section in real time. When the virtual accumulated energy index... When the virtual accumulated energy index fluctuates around zero, it indicates that the system is in a healthy state of balance between inputs and outputs; when the virtual accumulated energy index... When the current shows a monotonically increasing trend, even if the real-time current of the motor has not yet triggered an overload alarm, the system can identify in advance that the material density inside the pipe is increasing, indicating a potential for soft blockage. This observation method based on energy differential integration improves the sensitivity to early blockage conditions by introducing the accumulation of the difference between input and output, enabling advanced prediction of unsteady flow.

[0102] See attached document Figure 3 In the intelligent control method for a pyrolysis production line provided in this embodiment of the invention, step S200 is executed by the energy state observation module in the hierarchical control device. This step aims to identify the soft blockage trend in the conveying pipe section based on the virtual accumulated energy index calculated in step S100. S200 specifically includes:

[0103] In S201, the energy state observation module establishes a time-series tracking mechanism for the virtual accumulated energy index. The "soft blockage" state defined in this embodiment refers to a situation where the material density within the conveying pipe section locally increases due to reduced fluidity, causing a non-linear increase in conveying resistance, but the instantaneous load on the drive motor has not yet reached the overload trip protection threshold—a critical operating state. Unlike traditional hard current limit protection, soft blockage assessment requires capturing the dynamic evolution of material accumulation, rather than a single moment's amplitude exceeding the limit. The system continuously records historical data of the virtual accumulated energy index within a sliding time window, constructing a trend curve reflecting the trajectory of energy accumulation changes.

[0104] In S202, the system executes decision-making logic based on dual constraints of amplitude and trend. The system has a preset accumulated energy warning threshold. and trend growth rate threshold Accumulated energy warning threshold It is the energy scalar corresponding to the maximum permissible safe accumulation of material, calibrated based on the geometric volume of the conveying equipment and the bulk density of the material; trend growth rate threshold. Used to identify characteristics of continuous deterioration in energy accumulation.

[0105] The control system generates a soft blockage status flag in real time based on the following soft blockage status determination logic. :

[0106] ;

[0107] In the formula, express The soft blockage status flag at any given time: 1 indicates a soft blockage trend, and 0 indicates normal operation. express The virtual accumulated energy index calculated at any given time; This indicates the preset accumulated energy warning threshold, which is usually set to 60% to 80% of the corresponding energy integral value under the rated full-load condition of the equipment; Indicates before the current time. The virtual accumulated energy index at any given moment; This represents the length of the sliding time window used to calculate the rate of change, and its value must cover at least one complete spiral propulsion cycle. This represents the preset trend growth rate threshold, used to determine whether the accumulated energy is in a state of continuous divergence.

[0108] When the system calculates This indicates that the current virtual accumulated energy index not only exceeds the safety warning line in absolute terms, but also shows a continuous positive growth trend over time. This dual-judgment logic effectively distinguishes between normal instantaneous fluctuations in feed rate and abnormal blockages: normal feed surges, although leading to... It briefly rises, but its rate of change quickly turns negative as downstream equipment continues to transport material; while when soft blockage occurs, due to obstruction of discharge at the output end and continuous injection at the input end, It will exhibit a monotonically increasing trend. Once the determination is confirmed, the system will activate the subsequent gas flow coordination and unblocking process.

[0109] See attached document Figure 3 In the intelligent control method for a pyrolysis production line provided in this embodiment of the invention, step S300 is executed by the gas turbine coordinated control module in the intelligent adaptive optimization layer. This step, after confirming the existence of a soft blockage trend, performs a safety interlock verification to ensure that subsequent active unblocking operations will not compromise the airtightness of the reaction system. Step S300 specifically includes:

[0110] In S301, the material sealing permission verification unit reads the feedback data from the radar level gauge in the upstream granule buffer bin of the feeding unit 10 in real time. For continuous pyrolysis processes, the reactor is at high temperature and filled with a flammable and explosive oil-gas mixture. To prevent these dangerous gases from backflowing into the external environment through the feed channel, a "physical material sealing" mechanism is adopted in the process. That is, the granule material accumulated in the feed buffer bin forms a dense layer of a certain height, relying on the weight and bulk density of the material itself to balance the slight positive pressure in the reactor.

[0111] The system defines a key parameter: the safe material level threshold. This threshold is the minimum percentage of material layer height calculated based on the average particle size, packing porosity, and maximum design operating pressure of the reactor; it is typically set at 30% of the total height of the buffer silo. When the actual material level in the buffer silo... Higher than When the material level is low, the accumulated material layer can provide sufficient flow resistance to effectively block the reverse flow of gas; conversely, if the material level is too low, the airtight barrier may fail. If the feeding equipment is subjected to drastic pulsation adjustment at this time, it is very easy to cause the risk of flammable gas leakage.

[0112] In S302, the system performs strict logical branch judgments based on the detection results. The judgment logic is as follows:

[0113] ;

[0114] In the formula, Indicates the control mode permission status; This indicates the real-time material level height in the buffer silo, as collected by the radar level gauge. This indicates the preset safe material level threshold.

[0115] If detected The system determines that the physical material seal is intact, providing a safe basis for executing complex control strategies. At this point, the system generates a "cooperative control permission" instruction, allowing entry into step S400, which means allowing the simultaneous execution of a pneumatic-assisted unblocking strategy for both the upstream feed star-shaped unloader and the downstream raw material feed auger.

[0116] If detected The system determines that the physical material seal is in a critical or failure-risk state. For intrinsic safety reasons, the system forcibly locks out any pulsating or S-shaped acceleration / deceleration control functions of the upstream feed star-shaped unloader, prohibiting any changes to its established steady-state operating mode or direct interlock shutdown to maintain the existing airtightness. At this time, the control strategy automatically degrades, allowing only a one-sided frequency sweep unblocking operation on the downstream raw material feed auger, or directly triggering a conventional blockage alarm and requesting manual intervention. This conditional branch control based on material level status ensures that the intelligent optimization algorithm always operates within the process safety limits.

[0117] See attached document Figure 3 In the intelligent control method for a pyrolysis production line provided in this embodiment of the invention, step S400 is executed by the pneumatic-mechanical coordinated control module in the intelligent adaptive optimization layer. When step S200 determines that a soft blockage trend exists and step S300 confirms that the material sealing status is permissible, the system automatically activates the pneumatic-mechanical coordinated unblocking control strategy. This strategy aims to actively disrupt the bridging and adhesion structure of the material and restore its flowability through the frequency conversion coordinated action of upstream and downstream equipment. Step S400 specifically includes:

[0118] In S401, the collaborative execution unit controls the upstream feed rotary valve to switch from constant speed feeding mode to "S-type pulse airlock" adjustment mode. In conventional control, the rotary valve usually operates at a constant speed, but when handling highly viscous rubber pyrolysis materials, constant speed rotation can easily cause the material to form a vacuum adsorption in the blade cavity, resulting in poor material discharge.

[0119] In this embodiment, the system sends pulse control commands with S-shaped acceleration and deceleration characteristics to the vector inverter. The inverter generates a smooth speed envelope based on a preset S-curve, controlling the motor to periodically and flexibly switch between "low-speed operation" and "zero-speed hold" states. Specifically, the motor first accelerates from zero speed to a set low speed (e.g., 15Hz) according to the S-shaped acceleration curve, maintaining operation briefly to fill the blade cavity. Then, it flexibly stops according to the S-shaped deceleration curve. The inertial impact at the moment of stopping breaks the vacuum adhesion between the material and the inner wall of the blades. Simultaneously, the physical airlock effect formed during the stop gap blocks the back pressure of gas inside the reactor on the feed inlet, thereby assisting the material to fall off by gravity. The application of the S-shaped curve avoids the mechanical impact on the reducer gears caused by rigid start-stop.

[0120] In S402, the collaborative execution unit controls the downstream raw material feeding auger to execute a "trapezoidal wave frequency sweep" conveying strategy. Addressing the uneven material density characteristic of the initial stage of soft blockage, a single frequency of conveying force is often insufficient to overcome local high resistance points. The system superimposes a trapezoidal modulation wave onto the reference conveying frequency, causing the conveying auger to periodically reciprocate within a certain range.

[0121] To implement this control logic, the system calculates the real-time inverter command frequency according to the following trapezoidal wave sweep frequency output formula. :

[0122] ;

[0123] In the formula, express The frequency of commands sent to the raw material feeding auger frequency converter at all times; Indicates the current process reference frequency; This represents the sweep amplitude, used to limit the upper and lower limits of frequency fluctuations; This represents a complete modulation period of a trapezoidal wave; This represents a normalized trapezoidal modulation function that outputs a waveform signal that sequentially rises, holds at a high level, falls linearly, and holds at a low level within a period. This signal is used to generate alternating compressive and relaxing forces during the conveying process, thereby disrupting the compacted structure of the material.

[0124] Furthermore, to prevent mechanical resonance from being generated in the layout and delivery pipeline during frequency sweeping, the system incorporates "resonance notch filtering" protection logic. The system has a pre-defined mechanical resonance frequency band. When the calculated instruction frequency falls within this range, the system performs a frequency jump operation, the specific logic of which is as follows:

[0125] ;

[0126] In the formula, This indicates the final output frequency to the inverter. This indicates the pre-determined mechanical resonance center frequency of the conveyor auger; This indicates that half of the resonance avoidance bandwidth is used.

[0127] This logic ensures that while performing powerful frequency sweeping and unblocking, it automatically skips resonant frequency bands that may damage the equipment, thus balancing unblocking efficiency and equipment safety.

[0128] See attached document Figure 4 , Figure 4The diagram illustrates the frequency modulation waveforms of the upstream and downstream equipment in the pneumatic-assisted unblocking mode. The top figure shows the "S-shaped pulse airlock" control waveform executed by the feed rotary valve, whose frequency flexibly switches between 0Hz and a low-speed setpoint (e.g., 15Hz) according to an S-curve, utilizing the physical airlock formed during the stop interval (shaded area in the figure) to prevent gas backflow. The bottom figure shows the "trapezoidal wave frequency sweep" control waveform executed by the raw material feed auger, whose operating frequency is at the reference frequency. Based on the superposition of trapezoidal modulated waves, and The system exhibits periodic changes. By coordinating the timing of the two diagrams, the system can effectively disrupt the internal stress structure of materials using alternating mechanical forces, while ensuring airtightness, thus achieving active unblocking.

[0129] In S403, the system monitors the energy status feedback under the coordinated actions of upstream and downstream components in real time. As the coordinated dredging strategy is implemented, if the accumulated material in the pipe section is successfully discharged, the virtual accumulated energy index calculated in step S100 will be updated. It will show a significant downward trend.

[0130] The system has a recovery threshold set. (This value is less than the warning threshold). When detected After maintaining this state for a certain period of time (e.g., 10 seconds), the system determines that the soft blockage has been eliminated and the pipeline is now unobstructed. At this point, the pneumatic-mechanical coordination control module automatically terminates the S-type pulse airlock mode and the trapezoidal wave frequency sweep mode, and controls the upstream star-shaped unloader and the downstream feed auger to smoothly transition back to the constant speed steady-state operation mode, completing an online self-healing process that requires no manual intervention.

[0131] See attached document Figure 3 In the intelligent control method for a pyrolysis production line provided in this embodiment of the invention, step S500 is executed by the basic logic and safety interlock layer. Although this step is at the bottom layer of the control architecture, it ensures the process consistency of the pyrolysis production line under steady-state operation and its inherent safety under emergency conditions. Step S500 involves the coordinated operation of multiple systems such as the reaction unit 20, the auxiliary conveying unit 40, and the environmental safety unit 50, specifically including:

[0132] In S501, the basic logic layer establishes strict equipment start-up and shutdown sequences and fault interlocking logic based on the physical direction of material flow. For a series system including the feeding unit 10, the main reactor, the discharge unit 30, and the auxiliary conveying unit 40, the system executes a "reverse start" strategy. That is, during a cold start of the production line, the control system prioritizes starting the carbon black cooler and elevator at the very end, then sequentially starts the discharge unit 30 and the rotating mechanism of the pyrolysis main reactor upstream, and finally allows the feeding unit 10 to start. This logic ensures that the downstream conveying channel is ready before receiving material, preventing instantaneous blockage caused by downstream stagnation. Conversely, during a normal shutdown process, the system executes a "sequential stop" strategy, that is, first stopping the feeding, and after the material has been completely pyrolyzed and discharged from the reactor, then sequentially stopping the reaction and discharge equipment, and finally stopping the auxiliary conveying equipment.

[0133] Furthermore, this step incorporates a built-in hard logic fault cascading mechanism. The system monitors the operational status feedback of equipment at all levels. Once a fault shutdown or inverter alarm is detected in any downstream node equipment (such as the discharge auger), the system immediately and forcibly interlocks and cuts off the power supply to all related upstream equipment (such as the feed auger and rotary valve). This "downstream stop, upstream must stop" hard logic effectively prevents the continuous accumulation of material at the fault point, avoiding secondary equipment damage or reactor pressure accidents caused by mechanical failures.

[0134] In S502, the thermodynamic closed-loop control module performs precise temperature control on the four sets of medium-frequency induction heating coils arranged around the pyrolysis main furnace. The system adopts a PID control algorithm to adjust the output power of the induction heating power supply according to the temperature zone setpoint. Given that the pyrolysis reaction is extremely sensitive to temperature, and that thermocouples are prone to aging, drifting, or wire breakage under high-temperature conditions, this embodiment arranges dual thermocouples (main sensor and redundant sensor) in parallel at key temperature measurement points in each temperature zone.

[0135] The control system employs a safety strategy combining "dual thermocouple high-point selection" and "deviation verification." In each sampling cycle, the system determines the process values ​​involved in the PID calculation based on the following temperature feedback logic. And determine the sensor status:

[0136] ;

[0137] ;

[0138] In the formula, This represents the temperature process value used in PID closed-loop control. This indicates the real-time temperature collected by the main thermocouple; This indicates the real-time temperature collected by redundant thermocouples. Indicates the sensor deviation fault flag bit; This indicates the preset maximum allowable temperature difference threshold.

[0139] By taking and Using the maximum value in the range as the control basis, the system can effectively prevent the heater from erroneously outputting full power due to a single sensor malfunction (such as a zero reading caused by a circuit break), thus eliminating the risk of localized overheating or even burn-through of the reactor. Simultaneously, when the difference in readings between the two thermocouples exceeds... When the system determines that the reliability of the measurement loop has decreased, it automatically triggers the instrument alarm and locks the heating power.

[0140] In S503, the environmental safety unit 50 is responsible for pressure balancing and leakage protection of the gas phase system. For the pyrolysis gas compressor, the system does not perform simple start-stop control, but monitors its inlet pressure (i.e., cylinder pressure) and outlet pressure in real time. The compressor is only allowed to run when the inlet pressure is higher than the micro-positive pressure setpoint and the outlet pressure is lower than the safety limit of the gas storage tank, thereby maintaining the pressure stability of the reaction system.

[0141] Simultaneously, the system monitors the oxygen content in the non-condensable gas pipeline online. If the oxygen content analyzer reading exceeds the lower explosive limit (e.g., 1%), it indicates a potential air intake leak. In this case, the basic logic layer immediately switches the three-way pneumatic valve, cutting off the gas flow from the compressor inlet and redirecting it to the emergency discharge or flare combustion pipeline to prevent high-oxygen gas from entering the high-pressure storage tank and causing an explosion. Furthermore, the system establishes a linkage mechanism with the axial flow fans for the combustible gas detection probes located throughout the plant. If any probe detects that the concentration of hydrocarbon gases in the environment exceeds the standard, the system will disregard the current automatic fan control logic, forcibly starting all exhaust fans to their maximum speed and performing emergency purging until the ambient gas concentration returns to normal.

[0142] See attached document Figure 3 In the intelligent control method for the pyrolysis production line provided in this embodiment of the invention, step S600 is executed by a special operating condition and emergency protection layer. This step is an emergency protection measure taken to prevent mechanical deformation of the pyrolysis main furnace due to cessation of rotation under high temperature conditions in emergency situations where the external main power supply network fails (power outage). Step S600 specifically includes:

[0143] In S601, the power failure monitoring module monitors the voltage status and frequency fluctuations of the three-phase incoming power supply in real time. When the main grid voltage drops below the preset undervoltage threshold (e.g., 85% of the rated voltage) and the duration exceeds the transient interference judgment time limit, the system determines that a power failure has occurred and immediately triggers the "emergency islanding operation mode".

[0144] In this mode, the system executes a tiered load shedding logic. The control system disconnects all non-core high-power loads via hardwiring or fast I / O, including the power supply to the medium-frequency induction heating coil, the discharge conveyor motor, the cooling circulating water pump, and unnecessary lighting circuits. At this time, the system's backup power supply (such as an industrial-grade UPS or diesel generator set) only provides power to the control system's PLC / DCS core unit, sensor instruments, and the drive inverter of the pyrolysis main furnace. This load shedding strategy aims to concentrate limited emergency power to maintain the most critical mechanical operations, preventing the backup power supply from tripping due to excessive load.

[0145] In S602, the low-power turning gear protection module takes over the drive control of the cracking main furnace. During normal production, the cracking main furnace operates at a high temperature (usually 400℃-500℃), and its cylindrical structure is similar to a large-span simply supported beam. If it suddenly stops rotating due to a power failure at high temperature, the cylinder is easily subjected to irreversible thermal sagging deformation due to its own weight and the load of internal materials, leading to equipment failure.

[0146] To utilize limited backup power to drive the high-inertia pyrolysis main furnace, this embodiment does not employ conventional power frequency drive or simple deceleration shutdown. Instead, it utilizes the "V / f separation" control technology of a vector frequency converter to execute an ultra-low frequency turning gear strategy. The system will control the output frequency of the frequency converter. Locked in an extremely low range (0.5Hz to 1.0Hz), which is only 1% to 2% of the rated frequency.

[0147] At extremely low frequencies, the voltage output by the conventional V / f control curve is too low to establish the magnetic field required to overcome the static friction of the main furnace, which weighs hundreds of tons. Therefore, this embodiment employs a voltage injection algorithm based on stator resistance voltage drop compensation to independently increase the output voltage amplitude, thereby maintaining the saturation of the motor stator flux linkage and achieving "low-frequency high torque" output.

[0148] The control system calculates the output voltage vector amplitude of the frequency converter in turning mode based on the following low-speed turning voltage injection formula. :

[0149] ;

[0150] In the formula, This represents the target amplitude of the inverter output stator voltage vector; This represents the torque boosting coefficient, used to compensate for nonlinear dead zone effects and line losses. Its value is determined based on the motor's no-load test data, and is usually taken as 1.1 to 1.3. This represents the equivalent torque current component required to overcome the maximum static friction force of the main furnace system. This indicates the resistance value of the motor stator winding, which is obtained by the inverter's self-learning function. This indicates the set turning frequency, with a value ranging from 0.5Hz to 1.0Hz; This indicates the reference value for the rated stator flux linkage of the motor.

[0151] Using the algorithm described above, the frequency converter can output a sufficiently large voltage at extremely low frequencies to compensate. The pressure drop creates an electromagnetic torque in the motor's air gap sufficient to overcome static friction, driving the main furnace to rotate extremely slowly in a creeping motion. This control method limits the motor's output power to less than 5% of its rated power, significantly reducing the need for backup power. Through this low-speed rotation, the main furnace continuously changes the heating surface and stress points, ensuring a uniform distribution of temperature and stress along the circumference of the furnace shell until the shell temperature naturally cools below the material's creep temperature, thus achieving low-power equipment preservation during power outages.

[0152] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent control of a pyrolysis production line, characterized in that, The method is applied to a continuous tire pyrolysis production line, which includes a feeding unit and a discharging unit. The method includes the following steps: S1. The operating parameters of the feed star unloader and the raw material feed auger in the feeding unit and the operating parameters of the discharge unit are collected synchronously using the intelligent adaptive optimization layer. The virtual accumulated energy index in the conveying pipe section is calculated based on the collected operating parameters. S2. Monitor the virtual accumulated energy index in real time. When the virtual accumulated energy index exceeds the preset accumulated energy warning threshold, determine that there is a soft blockage trend in the conveying pipe section. S3. After determining that the soft blockage trend exists, detect the real-time material level data of the upstream granule buffer bin of the feeding unit, and verify the material seal safety based on the real-time material level data. S4. When the material sealing safety meets the requirements, execute the pneumatic-motor coordinated control logic to control the feed star unloader to perform S-type pulse airlock action, and simultaneously control the raw material feed auger to perform trapezoidal wave sweep frequency conveying action until the virtual accumulated energy index drops to the preset recovery threshold.

2. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, Before calculating the virtual accumulated energy index, the method further includes a reference power dynamic self-calibration step: The real-time current of the motor drive device in the feeding unit or the discharging unit is continuously monitored within a preset time window. If the real-time current is consistently lower than the preset no-load current threshold within the time window, the motor drive device is determined to be in a no-load state. Calculate the arithmetic mean of the power signal within the time window, update the arithmetic mean to the new idle reference power, and reset the virtual accumulated energy index to zero.

3. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The specific steps for calculating the virtual accumulated energy index within the delivery pipeline section based on the collected operating parameters include: Obtain the real-time input power and the updated no-load reference power of the upstream feeding unit, and calculate the difference between the real-time input power and the updated no-load reference power; Obtain the real-time output power, real-time speed, updated no-load reference power, and rated reference speed of the downstream conveying unit; The ratio of the real-time rotational speed to the rated reference rotational speed is used as a normalization coefficient, and the difference between the real-time output power of the downstream conveying unit and the updated no-load reference power is corrected using the normalization coefficient. The difference between the power difference of the upstream feeding unit and the corrected power difference of the downstream conveying unit is integrated with respect to time. Subtracting the natural dissipation factor from the integral operation yields the current virtual accumulated energy index.

4. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The steps for determining the presence of a soft blockage trend within the delivery pipe section specifically include: The historical data of the virtual accumulated energy index are continuously recorded within a sliding time window; Calculate the rate of change of the virtual accumulated energy index within the sliding time window; A soft blockage status flag is generated only when the virtual accumulated energy index is greater than the accumulated energy warning threshold and the rate of change is greater than the preset trend growth rate threshold, thus determining that the soft blockage trend exists.

5. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The steps for verifying the safety of the material seal based on the real-time material level data specifically include: The real-time material level data of the granule buffer bin is compared with the preset safe material level threshold. If the real-time material level data is greater than or equal to the safe material level threshold, it is determined that the airtight safety conditions are met, and a collaborative control permission command is generated, allowing simultaneous adjustment of the feed star unloader and the raw material feed auger. If the real-time material level data is less than the safe material level threshold, it is determined that there is a risk to airtightness, and the pulse control function of the feed star unloader is forcibly locked, allowing only the frequency sweep operation to be performed on the raw material feed auger.

6. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The specific steps for controlling the feed rotary valve to perform the S-type pulse airlock action include: Send pulse control commands containing acceleration and deceleration characteristics to the drive unit of the feed star unloader; The drive device controls the motor to rise from zero speed to a set low speed according to the S-shaped acceleration curve, and runs for a preset time to fill the blade cavity; Subsequently, the drive device controls the motor to stop according to the S-shaped deceleration curve, and forms a physical airlock by utilizing the stop gap.

7. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The steps for controlling the raw material feeding auger to perform trapezoidal wave sweep frequency conveying include: A trapezoidal modulation wave is superimposed on the reference transmission frequency to calculate the real-time command frequency. The trapezoidal modulation wave sequentially outputs waveform signals of linear rise, high-level hold, linear fall, and low-level hold within one modulation cycle. Determine whether the command frequency falls within the preset mechanical resonance frequency band. If the command frequency falls within the mechanical resonance frequency band, the output frequency will be forced to jump to the boundary frequency of the mechanical resonance frequency band; If the command frequency does not fall within the mechanical resonance frequency band, the command frequency is output directly.

8. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The reaction unit of the continuous tire pyrolysis production line is equipped with dual thermocouples, and the method further includes a temperature control step based on the dual thermocouples: Simultaneously acquire the first temperature value of the main thermocouple and the second temperature value of the redundant thermocouple; The maximum value between the first temperature value and the second temperature value is selected as the process feedback value, and the heating coil is subjected to PID closed-loop regulation based on the process feedback value. Calculate the difference between the first temperature value and the second temperature value. When the difference exceeds the allowable temperature difference threshold, trigger a sensor fault alarm and lock the heating power.

9. The intelligent control method for a pyrolysis production line according to claim 1, characterized in that, The method also includes a main power failure protection step: The voltage status of the main power supply is monitored in real time. When the voltage of the main power supply drops below the undervoltage threshold, non-critical loads are disconnected and backup power is switched on. The drive frequency converter of the main furnace in the continuous tire pyrolysis production line is controlled to enter the low-frequency turning mode. In the low-frequency turning mode, the target voltage amplitude is calculated based on the stator resistance voltage drop compensation algorithm, and a voltage vector capable of overcoming static friction is injected into the motor to drive the pyrolysis main furnace to rotate at a frequency of one to two percent lower than the rated frequency.

10. An intelligent control device for a pyrolysis production line, characterized in that, The apparatus includes a group of physical process equipment and a hierarchical control device configured to perform the method as described in any one of claims 1-9, the hierarchical control device comprising: The full-parameter data acquisition module is used to collect motor operating parameters, temperature parameters, and material level parameters of the feeding unit and the discharging unit; The energy state observation module is used to calculate the virtual accumulated energy index based on the collected parameters, and to determine whether there is a soft blockage trend based on the virtual accumulated energy index. The pneumatic-mechanical coordinated control module is used to detect material level data to verify the safety of the material seal after determining that the soft blockage trend exists, and when the safety of the material seal meets the requirements, it controls the feeding unit to perform coordinated unblocking of the S-type pulse airlock action and the trapezoidal wave sweep frequency conveying action.

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