A weight-loss feeder anti-wall-sticking intelligent control system for viscous materials and a control method thereof

Abstract

The present application belongs to the technical field of powder material conveying and metering, and in particular to a weight-reducing feeder anti-wall-sticking intelligent control system for viscous materials and a control method thereof; comprising: a material characteristic identification module for obtaining or inputting at least one characteristic parameter of the viscosity level, critical relative humidity or rest angle of the material to be fed; a pulse mode library module, which is pre-set with at least two pulse working modes with different pulse intensity levels, each mode corresponding to a set of pulse parameters, the pulse parameters including pulse period, pulse pressure and pulse waveform; through a partition control module, differentiated pulse control signals for the upper and lower regions of the hopper are respectively generated, realizing accurate management of the electrostatic adsorption dominant area and the shear bridging dominant area, the wall cleaning efficiency being improved by more than 40% compared with single-zone uniform control, and the adverse effects of global high-intensity impact on the material filling state being avoided.

Description

Technical Field

[0001] This invention relates to the field of powder material conveying and metering technology, specifically to a weight-reducing feeder anti-sticking intelligent control system and its control method for viscous materials. Background Technology

[0002] Weight-loss feeders are precision feeding devices based on the principle of weightlessness, widely used in chemical, food, and pharmaceutical industries to continuously and stably transport powders and granular materials to downstream processes. Their core working principle is: a weighing system monitors the total weight change of the hopper and its contents in real time, calculates the actual output per unit time, compares it with the target feed rate, and uses closed-loop control to regulate the rotational speed of the feeding mechanism (such as a screw or belt), thereby achieving high-precision quantitative feeding. In many applications, especially in solid dosage form production (such as tablets and capsules) and the fine chemical industry, feeders often need to handle viscous materials with hygroscopic, sticky, or electrostatic adsorption properties, such as highly hygroscopic active pharmaceutical ingredients (APIs, such as metformin hydrochloride), high-sugar extracts of traditional Chinese medicine, and micronized functional excipients (such as hydroxypropyl methylcellulose). When handling such materials, weight-reducing feeders face the following common and challenging technical difficulties: First, material adhesion to the hopper walls leads to inaccurate metering. When viscous materials flow under gravity, they easily adhere to the inner wall surface of the hopper. As the adhesion layer thickens, the actual mass of material participating in the flow decreases, but the weighing system still measures and controls the flow based on the total weight of the material in the hopper (including the adhered portion). This causes the controller to be unable to determine the true feed rate, resulting in "false flow." This leads to the actual feed rate being far lower than the set value, with errors exceeding 10%, severely affecting the consistency of downstream product quality, such as causing non-uniformity of active ingredient content in pharmaceuticals.

[0003] Secondly, bridging and rat holes disrupt feeding continuity. Continuous wall adhesion constantly reduces the effective flow cross-section of the hopper. The material flow deteriorates from an ideal "bulk flow" to an unstable "funnel flow," forming a narrow flow channel (rat hole) in the center of the hopper, while most of the surrounding material remains stationary. Once this channel becomes blocked, "bridging" occurs. The alternation of bridging and rat holes leads to drastic fluctuations in feed flow, or even flow interruption, making it impossible to meet the stringent requirements of downstream equipment such as tablet presses and mixers for constant feed.

[0004] Furthermore, the difficulty of cleaning leads to low production changeover efficiency and the risk of cross-contamination. Materials adhering to and caked on the walls are difficult to remove by gravity or conventional methods, often requiring manual removal after machine shutdown or soaking and cleaning with large amounts of organic solvents. This not only results in batch-to-batch cleaning changeover times of several hours, making multi-product co-production extremely inefficient, but also increases the difficulty and workload of cleaning validation. For highly active or toxic drugs (such as hormones and anti-tumor drugs), manual intervention also poses a significant risk of occupational exposure.

[0005] To address the aforementioned issues, several anti-adhesion or anti-arching methods have been developed in existing technologies. For example, pneumatic or electromagnetic vibrators are installed on the outer wall of the hopper to cause material to detach through high-frequency vibration; or air discs or air cannons are installed on the inner wall of the hopper to impact the material with bursts of high-pressure gas. Additionally, there are solutions that use low surface energy coatings (such as Teflon coatings) or perform ultra-precision grinding (such as electropolishing) on ​​the inner wall of the hopper to reduce material adhesion.

[0006] However, these existing technical solutions all have significant limitations in practical applications. On the one hand, mechanical vibration or gas impact is usually global and high-intensity. Although it can remove materials adhering to the wall, the strong vibration or air pressure impact generated will be directly transmitted to the highly sensitive weighing sensor, causing serious distortion of the weighing signal, which in turn undermines the core metering accuracy of the weight-reducing feeder. Therefore, in engineering, feeding is often forced to be suspended during vibration or air blowing, which leads to production discontinuity and efficiency loss. On the other hand, these methods are mostly "one-size-fits-all" open-loop control modes, which cannot make adaptive and differentiated precise adjustments based on the wall adhesion risk of different areas of the hopper (such as the difference between electrostatic adsorption in the straight section and shear bridging in the conical section) and the rheological properties of different materials (such as angle of repose and viscosity grade). Although existing coating or polishing solutions can reduce adhesion, they cannot actively remove the already adhered materials, and the effect decreases sharply after the coating wears off.

[0007] In summary, achieving efficient, intelligent, and compliant with stringent cleaning standards anti-sticking control for viscous materials while ensuring the core metering accuracy of the weight-reducing feeder remains a long-standing and unsatisfactory technical bottleneck in this field. Therefore, developing an intelligent anti-sticking control system that can adapt to material characteristics, achieve precise zoned control, and work collaboratively with the weighing system has significant technical value and broad application prospects. To address the aforementioned issues, this application proposes an intelligent control system and control method for a weight-reducing feeder to prevent sticking to viscous materials. Summary of the Invention

[0008] To address the problems mentioned in the background section, this invention provides an intelligent control system and method for preventing sticking to the wall of a weight-reducing feeder for viscous materials, aiming to achieve the following objectives: During the feeding process, the material adhering to the inner wall of the hopper is actively and efficiently removed, and the proportion of material adhering to the wall is controlled to below 0.1%, ensuring that the metering accuracy of the weight-reducing feeder is maintained within ±0.25%.

[0009] Completely eliminate bridging and rat burrowing phenomena, ensure continuous and stable feed flow rate, and have a flow rate fluctuation coefficient (CV) of less than 1%.

[0010] It enables rapid cleaning transitions between batches, with cleaning time controlled within 30 minutes, meeting the needs of multi-variety co-production.

[0011] The system design complies with GMP and FDA 21 CFR Part 11 specifications, facilitating cleaning validation.

[0012] To achieve the above objectives, the present invention provides the following technical solution: a weight-reducing feeder anti-sticking intelligent control system for viscous materials, comprising: The material characteristic identification module is used to acquire or input at least one characteristic parameter among the viscosity grade, critical relative humidity, or angle of repose of the material to be fed. The pulse mode library module has at least two preset pulse working modes with different pulse intensity levels. Each mode corresponds to a set of pulse parameters, including pulse period, pulse pressure and pulse waveform. A zone control module, connected to the pulse mode library module, is used to automatically select the corresponding pulse working mode according to the characteristic parameters output by the material characteristic identification module, and generate a first pulse control signal for controlling the upper area of ​​the feeder hopper and a second pulse control signal for controlling the lower area of ​​the hopper according to the selected mode; wherein the first pulse control signal and the second pulse control signal differ in pulse period, pulse pressure and / or pulse waveform. A pneumatic pulse generator, which responds to the first pulse control signal and the second pulse control signal, applies independently controllable pulse air pressure to the upper and lower regions of the hopper, respectively. The weighing data acquisition module is used to acquire the weight signal of the weight-reducing feeder in real time; The timing coordination module, which is connected to the partition control module and the weighing data acquisition module, is used to send a pause acquisition command to the weighing data acquisition module during the period when the pneumatic pulse generator applies pulse air pressure, and call the data compensation algorithm to interpolate and compensate for the weight data missing during the pause. The flow monitoring and adaptive adjustment module is used to calculate the real-time feeding flow rate and flow fluctuation coefficient based on the compensated weight data. When the flow fluctuation coefficient exceeds the preset threshold, it automatically controls the partition control module to switch to a higher intensity pulse working mode or issues a maintenance warning.

[0013] Furthermore, the pulse mode library module includes: a standard mode with a pulse period of T0 and a pulse pressure of P0, suitable for low-viscosity materials; and an enhanced mode with a pulse period of T1 and a pulse pressure of P1, suitable for medium-viscosity materials, wherein T1...<T0,P1> P0; High-pressure mode, with a pulse period of T2 and a pulse pressure of P2, suitable for highly viscous materials, where T2...<T1,P2> P1.

[0014] Furthermore, the first pulse control signal generated by the partition control module is a high-frequency, low-voltage, sinusoidal wave envelope pulse signal, used to control the wall cleaning action in the upper region of the hopper; the second pulse control signal generated is a low-frequency, high-voltage, sawtooth wave envelope pulse signal, used to control the wall cleaning action in the lower region of the hopper.

[0015] Furthermore, the partition control module is also configured to alternately output the first pulse control signal and the second pulse control signal, with an adjustable delay interval between them.

[0016] Furthermore, the data compensation algorithm is a linear interpolation algorithm: let the actual weight collected at the last moment before the pulse starts be W0, the actual weight collected at the first moment after the pulse ends be W1, and the pulse duration be Δt. Then, at any moment t during the pulse, the compensated weight W(t) = W0 + (W1 - W0) × (t / Δt).

[0017] Furthermore, the data compensation algorithm is a compensation algorithm based on the theoretical displacement model: the instantaneous theoretical flow rate during the pulse period is calculated using the feeder's rotation speed and the theoretical displacement per revolution, and the integral value of this theoretical flow rate is used as the compensation value for the weight data.

[0018] Furthermore, the system also includes: a material-pulse parameter database, used to record the optimal pulse working mode and its corresponding pulse parameters used historically for each material; the material characteristic identification module is also used to identify the current material type and automatically retrieve the optimal pulse working mode corresponding to the material from the material-pulse parameter database as the initial setting.

[0019] Furthermore, the system also includes a cleaning validation auxiliary module, used to record cleaning parameters in cleaning mode, including cleaning time, temperature, pressure and conductivity, and automatically generate a cleaning validation report that meets GMP requirements.

[0020] The present invention also provides a method for intelligent control of a weight-reducing feeder to prevent sticking to the wall based on the above system, comprising the following steps: Obtain the viscosity characteristics of the material to be fed; Based on the viscosity characteristic parameters, select one mode from at least two preset pulse working modes; According to the selected mode, differentiated first pulse control signal and second pulse control signal are generated, which are used to control the pulse wall cleaning action of the upper and lower regions of the hopper, respectively. During the application of pulsed air pressure, weighing data acquisition is paused, and interpolation algorithms are used to compensate for missing data. The real-time traffic fluctuation coefficient is calculated based on the compensated data. When the coefficient exceeds the threshold, the system automatically switches to a higher-intensity pulse working mode.

[0021] Furthermore, the first pulse control signal controls the upper region to perform high-frequency, low-voltage, sinusoidal wave envelope pulse actions, and the second pulse control signal controls the lower region to perform low-frequency, high-voltage, sawtooth wave envelope pulse actions, and the pulse actions of the two regions are performed alternately.

[0022] Compared with the prior art, the beneficial effects of the present invention are: Differentiated intelligent control by zone: The zone control module generates differentiated pulse control signals for the upper and lower areas of the hopper (high frequency low voltage sine wave for the upper area and low frequency high voltage sawtooth wave for the lower area), which realizes precise treatment of the electrostatic adsorption-dominant area and the shear bridging-dominant area. The wall cleaning efficiency is improved by more than 40% compared with the single-zone uniform control, and the adverse effects of global high-intensity impact on the material filling state are avoided.

[0023] Weighing-pulse timing coordination completely solves vibration interference: By dynamically pausing weighing sampling during the pulse period through the timing coordination module, and using linear interpolation or theoretical displacement model for data compensation, the interference of air pressure impact on high-precision weighing sensors is fundamentally eliminated, enabling the system to continuously clean the wall without stopping the machine or sacrificing measurement accuracy.

[0024] Material property self-adaptation and self-learning: It has three built-in pulse modes: standard, enhanced, and strong. It can automatically switch according to the material's critical relative humidity, angle of repose, and other characteristics. It also establishes a material-pulse parameter database to record the historical optimal parameters of each material, achieving adaptive optimization that becomes "smarter with use".

[0025] Rapid cleaning and validation support to meet GMP regulatory requirements: The cleaning validation auxiliary module automatically records cleaning parameters and generates validation reports, which greatly improves the efficiency of multi-product co-production and reduces the cleaning time between batches to less than 30 minutes.

[0026] Real-time flow monitoring and adaptive adjustment: The flow monitoring and adaptive adjustment module calculates the flow fluctuation coefficient in real time. When the fluctuation exceeds the threshold, it automatically upgrades the pulse intensity or issues an early warning to ensure that the feeding process is always in the optimal control state. Attached Figure Description

[0027] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0028] The technical solutions of 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.

[0029] Example 1 This embodiment provides a weight-reducing feeder anti-sticking intelligent control system for viscous materials, specifically applied to the continuous feeding process of the highly hygroscopic active pharmaceutical ingredient lisinopril.

[0030] Material characteristics: Lisinopril, white crystalline powder, D50=25μm, D90=80μm, critical relative humidity (CRH) is 52% (25℃), viscosity increases significantly after moisture absorption, angle of repose >45°.

[0031] Equipment configuration: Weight-reducing feeder hopper volume 30L (effective volume 25L), designed feeding rate 10kg / h; environmental control: temperature 20±2℃, relative humidity 45±5%RH. The control system is built according to the modular architecture described in this invention.

[0032] System module configuration and initialization: Material property identification module: Users input the material name "lisinopril" and its CRH value of 52% and angle of repose of 46° through the human-machine interface. The system automatically determines the viscosity grade as "medium viscosity".

[0033] The pulse mode library module includes preset modes: Standard Mode (T0=30s, P0=0.04MPa, square wave), Enhanced Mode (T1=20s, P1=0.08MPa, sine wave / sawtooth wave combination), and Powerful Mode (T2=10s, P2=0.12MPa, sawtooth wave). Based on the input CRH and rest angle, the zone control module automatically selects the "Enhanced Mode".

[0034] The zone control module, in enhanced mode, generates a first pulse control signal (for the upper region of the hopper) with the following parameters: period TA = 20s, pressure PA = 0.06MPa, and a sine wave envelope (pressure increase 0.1s, peak hold 0.05s, pressure decrease 0.15s). It also generates a second pulse control signal (for the lower region of the hopper) with the following parameters: period TB = 30s, pressure PB = 0.09MPa, and a sawtooth wave waveform (rapid pressure increase to peak in 0.05s, slow pressure decrease in 0.3s). The two signals are output alternately, with a 5-second delay between the end of the upper pulse and the triggering of the lower pulse.

[0035] Pneumatic pulse generator: includes an air source, pressure regulating valve, high-speed solenoid valve and connecting pipeline, which responds to control signals to apply pulse air pressure to the corresponding area of ​​the hopper.

[0036] Weighing data acquisition module: adopts C3 grade weighing sensor, sampling frequency 100Hz.

[0037] Timing Coordination Module: Configured to send a pause acquisition command to the weighing data acquisition module during the period from the start of each pulse (solenoid valve opening) to the end of the pulse (pressure relief completed). The pause duration varies depending on the waveform: 0.3s for the upper pulse and 0.4s for the lower pulse. Simultaneously, a linear interpolation algorithm is called to compensate for the data during the pause: Let W0 be the actual weight acquired at the last moment before the pulse starts, W1 be the actual weight acquired at the first moment after the pulse ends, and Δt be the pulse duration. Then, the compensated weight W(t) at any moment t during the pause is W0 + (W1 - W0) × (t / Δt).

[0038] Flow monitoring and adaptive adjustment module: Calculates real-time flow and flow fluctuation coefficient (CV) every 10 seconds. In the initial phase (first 10 minutes), when CV is detected at 1.8% (preset threshold 1%), the module automatically sends a command to the zone control module to increase the lower pulse pressure from 0.09MPa to 0.10MPa and shorten the upper pulse cycle from 20s to 15s. After 10 minutes, CV drops to 0.6%, and the system operates stably.

[0039] Material-Pulse Parameter Database: After 8 hours of continuous operation, the system stores the correspondence between "Lisinopril" and "Enhanced Mode - Parameter Set (TA=15s, PA=0.06MPa, TB=30s, PB=0.10MPa)" in the database. The system will automatically use this parameter set as the initial setting when producing the same material again.

[0040] Execution results The system ran continuously for 8 hours, recording data every 30 minutes. The results are as follows:

[0041] The cumulative feeding amount over 8 hours was 79.85 kg (theoretical 80 kg), with a cumulative error of -0.19%; the average flow rate CV was 0.68%; there were no bridging alarms and no manual intervention was required. After shutdown, a visual inspection revealed no obvious material residue on the inner surface of the hopper.

[0042] Cleaning verification assistance: After production is complete, the user initiates the cleaning mode via the human-machine interface. The cleaning validation auxiliary module automatically records: cleaning start time, cleaning medium (water for injection), temperature (70℃), pressure (0.1MPa), circulation time (15 minutes), and final rinse water conductivity (1.2μS / cm). Upon completion of cleaning, the module automatically generates a GMP-compliant cleaning validation report, including cleaning parameter curves, conductivity change trends, and a judgment conclusion (qualified). The total cleaning time is 28 minutes.

[0043] Example 2 This embodiment is basically the same as Embodiment 1, except that the material processed is a traditional Chinese medicine extract (total phenolic acids from Danshen). This material has a sugar content of about 35%, an angle of repose >50°, strong viscosity, and high heat sensitivity. The material characteristic identification module determines it as "high viscosity," and the zone control module automatically selects the "strong mode."

[0044] In high-power mode, the parameters for the first pulse control signal (upper region) are: period TA = 10s, pressure PA = 0.10MPa, and sine wave envelope; the parameters for the second pulse control signal (lower region) are: period TB = 15s, pressure PB = 0.12MPa, and sawtooth wave envelope. Because fibrous particles easily entangle the feeding screw, the flow monitoring and adaptive adjustment module also monitors the feeding motor current: when the current suddenly increases by more than 20% of the threshold, it is determined that the screw is entangled, and a screw reversal command is automatically issued (resuming forward rotation after 0.5 seconds). This was triggered 6 times in this batch, and the entanglement trend was successfully eliminated each time.

[0045] Operating data: Single batch 25kg, target feed rate 8kg / h, total operating time 195 minutes (including one refeeding). Actual average flow rate 7.95kg / h, error -0.6%; flow rate CV=0.85%; estimated wall-adhering material percentage <0.3%, a 90% reduction compared to traditional vibrator solutions. Cleaning changeover time 35 minutes.

[0046] Example 3 This example demonstrates a rapid changeover process for multi-product co-production. Three materials are continuously produced on the same production line: Product A (lactose, weak viscosity), Product B (lisinopril, medium viscosity), and Product C (traditional Chinese medicine extract, strong viscosity).

[0047] Each time a conversion occurs, the operator only needs to enter the new material name or select an entry from the material library in the material characteristic identification module, and the system will automatically perform the following operations: Retrieve the optimal parameter set for the material from the material-pulse parameter database (if not found, select the pulse mode according to the default rules); The partition control module updates the pulse control signal parameters; The timing coordination module maintains the default pause-compensation strategy; The traffic monitoring and adaptive adjustment module resets the threshold monitoring.

[0048] For deep cleaning, the operator initiates the cleaning mode, and the cleaning verification auxiliary module records the process parameters. The conversion process time is 31 minutes for A→B and 36 minutes for B→C, representing an efficiency improvement of over 50% compared to traditional fixed-parameter equipment.

[0049] Industrial applicability This invention provides a weight-reducing feeder anti-sticking intelligent control system and method for viscous materials, which can be widely used in the conveying and metering of powder materials in the pharmaceutical, chemical, and food industries. It is especially suitable for difficult-to-handle materials with high hygroscopicity, strong viscosity, and easy bridging. The system is based on a modular software architecture, allowing for integration and application without complex mechanical modifications to existing feeders. It boasts a high degree of automation and can actively prevent sticking and clean the walls without sacrificing metering accuracy, significantly improving production continuity and the efficiency of multi-product co-production lines. It has promising industrial application prospects and economic benefits.

[0050] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A weight-reducing feeder anti-sticking intelligent control system for viscous materials, characterized in that, include: The material characteristic identification module is used to acquire or input at least one characteristic parameter among the viscosity grade, critical relative humidity, or angle of repose of the material to be fed. The pulse mode library module has at least two preset pulse working modes with different pulse intensity levels. Each mode corresponds to a set of pulse parameters, including pulse period, pulse pressure and pulse waveform. A zone control module, connected to the pulse mode library module, is used to automatically select the corresponding pulse working mode according to the characteristic parameters output by the material characteristic identification module, and generate a first pulse control signal for controlling the upper area of ​​the feeder hopper and a second pulse control signal for controlling the lower area of ​​the hopper according to the selected mode; wherein the first pulse control signal and the second pulse control signal differ in pulse period, pulse pressure and / or pulse waveform. A pneumatic pulse generator, which responds to the first pulse control signal and the second pulse control signal, applies independently controllable pulse air pressure to the upper and lower regions of the hopper, respectively. The weighing data acquisition module is used to acquire the weight signal of the weight-reducing feeder in real time; The timing coordination module, which is connected to the partition control module and the weighing data acquisition module, is used to send a pause acquisition command to the weighing data acquisition module during the period when the pneumatic pulse generator applies pulse air pressure, and call the data compensation algorithm to interpolate and compensate for the weight data missing during the pause. The flow monitoring and adaptive adjustment module is used to calculate the real-time feeding flow rate and flow fluctuation coefficient based on the compensated weight data. When the flow fluctuation coefficient exceeds the preset threshold, it automatically controls the partition control module to switch to a higher intensity pulse working mode or issues a maintenance warning.

2. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, The pulse pattern library module has the following preset features: The standard mode has a pulse period of T0 and a pulse pressure of P0, and is suitable for low-viscosity materials. The enhanced mode, with a pulse period of T1 and a pulse pressure of P1, is suitable for medium-viscosity materials, where T1...<T0,P1> P0; The high-pressure mode, with a pulse period of T2 and a pulse pressure of P2, is suitable for highly viscous materials.<T1,P2> P1.

3. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, The first pulse control signal generated by the partition control module is a high-frequency, low-voltage, sinusoidal wave envelope pulse signal, used to control the wall cleaning action in the upper region of the hopper; the second pulse control signal generated is a low-frequency, high-voltage, sawtooth wave envelope pulse signal, used to control the wall cleaning action in the lower region of the hopper.

4. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 3, characterized in that, The partition control module is further configured to output the first pulse control signal and the second pulse control signal alternately, with an adjustable delay interval between them.

5. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, The data compensation algorithm is a linear interpolation algorithm: Let the actual weight collected at the last moment before the pulse starts be W0, the actual weight collected at the first moment after the pulse ends be W1, and the pulse duration be Δt. Then, at any moment t during the pulse, the compensation weight W(t) = W0 + (W1 - W0) × (t / Δt).

6. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, The data compensation algorithm is a compensation algorithm based on the theoretical displacement model: the instantaneous theoretical flow rate during the pulse period is calculated by using the rotation speed of the feeder and the theoretical displacement per revolution, and the integral value of the theoretical flow rate is used as the compensation value of the weight data.

7. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, Also includes: The material-pulse parameter database is used to record the optimal pulse working mode and its corresponding pulse parameters used in the history of each material. The material characteristic identification module is also used to identify the current material type and automatically retrieve the optimal pulse working mode corresponding to the material from the material-pulse parameter database as the initial setting.

8. The intelligent control system for preventing sticking to the wall of a weight-reducing feeder for viscous materials according to claim 1, characterized in that, Also includes: The cleaning validation auxiliary module is used to record cleaning parameters in cleaning mode, including cleaning time, temperature, pressure and conductivity, and automatically generate a cleaning validation report that meets GMP requirements.

9. A smart control method for preventing wall sticking of a weight-reducing feeder based on the system described in any one of claims 1 to 8, characterized in that, Includes the following steps: Obtain the viscosity characteristics of the material to be fed; Based on the viscosity characteristic parameters, select one mode from at least two preset pulse working modes; According to the selected mode, differentiated first pulse control signal and second pulse control signal are generated, which are used to control the pulse wall cleaning action of the upper and lower regions of the hopper, respectively. During the application of pulsed air pressure, weighing data acquisition is paused, and interpolation algorithms are used to compensate for missing data. The real-time traffic fluctuation coefficient is calculated based on the compensated data. When the coefficient exceeds the threshold, the system automatically switches to a higher-intensity pulse working mode.

10. The intelligent control method for preventing wall sticking in a weight-reducing feeder according to claim 9, characterized in that, The first pulse control signal controls the upper region to perform high-frequency, low-voltage, sinusoidal wave envelope pulse actions, and the second pulse control signal controls the lower region to perform low-frequency, high-voltage, sawtooth wave envelope pulse actions, and the pulse actions of the two regions are performed alternately.

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