Material flow self-adaptive control system in seasoning continuous proportioning process

Abstract

The invention discloses a material flow self-adaptive control system in a condiment continuous proportioning process, and relates to the technical field of condiment proportioning control, and the material flow self-adaptive control system comprises a main conveying unit used for continuously conveying a liquid basic condiment; the at least one auxiliary material feeding unit is connected with the output pipeline of the main conveying unit in a converging manner and is used for continuously adding solid seasoning auxiliary materials into the liquid basic seasoning; the temperature detection unit is used for detecting the temperature of the liquid basic seasoning in real time; the controller is in signal connection with the main conveying unit, the auxiliary material feeding unit, the pressure detection unit, the flow detection unit, the auxiliary material flow detection device and the temperature detection unit; according to the invention, the rheological state of the main body material is sensed on line through coupling analysis of the pipeline pressure difference and the pump power signal, and according to dynamic feedforward compensation auxiliary material ratio setting, compound control is formed, so that the influence of natural fluctuation of the main body material characteristics on the mixing uniformity can be effectively and adaptively counteracted.

Description

Technical Field

[0001] This invention belongs to the field of seasoning proportion control technology, and in particular relates to an adaptive control system for material flow rate in a continuous seasoning proportioning process. Background Technology

[0002] In continuous condiment production in the food industry, especially in the precise mixing of sauces and powdered additives, maintaining a constant material mass ratio is a core requirement for ensuring consistent product flavor and stable quality. Currently, the automatic control systems of such production lines typically rely on independent monitoring and closed-loop regulation of the flow rates of each component material. This involves real-time feedback from flow sensors and comparison with set target values ​​to drive pumps or feeding mechanisms for correction.

[0003] However, this control logic based on direct flow feedback assumes that the physical properties of each material, especially the rheological properties of the continuous phase material (such as semi-fluids like ketchup and mayonnaise) as the main component of the mixture, are stable and unchanging. In reality, due to factors such as batch differences in raw materials, temperature fluctuations in the production environment, or shear heat generation during transport, the rheological parameters of the main material, such as viscosity, often undergo unpredictable natural changes. These changes directly affect its transport state, the hybrid dynamics with solid additives, and the measurement characteristics of the online flow meter, resulting in a deviation from the expected effective mixing ratio even if the instantaneous flow rates of each component meet the set values. Therefore, the following solution is proposed to address these issues. Summary of the Invention

[0004] The purpose of this invention is to provide an adaptive control system for material flow in the continuous proportioning process of seasonings. By coupling and analyzing pipeline pressure difference and pump power signals, the system senses the rheological state of the main material online and dynamically feeds forward to compensate for the auxiliary material proportioning setting, forming a composite control. This system can effectively and adaptively offset the influence of natural fluctuations in the characteristics of the main material on the mixing uniformity without relying on a dedicated rheometer. It solves the problem that existing control methods cannot identify changes in the state of the main material itself, resulting in deviations of the actual proportion from the set value.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution:

[0006] This invention relates to an adaptive control system for material flow rate in a continuous seasoning formulation process, comprising:

[0007] The main conveying unit is used to continuously convey the liquid base seasoning, and includes a conveying pump, a pressure detection unit and a flow detection unit located on the pump outlet pipeline;

[0008] At least one auxiliary material feeding unit is connected to the output pipeline of the main conveying unit for continuously adding solid seasoning auxiliary materials to the liquid base seasoning. Each auxiliary material feeding unit includes a precision feeding device and an auxiliary material flow detection device located at its outlet.

[0009] A temperature detection unit is used to detect the temperature of the liquid base seasoning in real time;

[0010] The controller is connected to the main conveying unit, auxiliary material feeding unit, pressure detection unit, flow detection unit, auxiliary material flow detection device and temperature detection unit respectively;

[0011] The controller is configured to perform the following operations: calculate and set the initial theoretical flow rate of each material according to a preset production formula; synchronously collect operating data from the pressure detection unit, the flow detection unit, the temperature detection unit, and each of the auxiliary material flow detection devices in real time; calculate the equivalent physical property observation value reflecting the current rheological characteristics of the liquid base seasoning based on the collected pipeline pressure data, pump operating parameters, flow data, and pipeline geometric parameters; dynamically calculate the compensation coefficient for correcting the target flow rate of the solid seasoning auxiliary material based on the equivalent physical property observation value and the real-time collected flow data; and generate a composite control command and send it to the corresponding auxiliary material feeding unit based on the target flow rate of the solid seasoning auxiliary material corrected by the compensation coefficient and its corresponding real-time actual flow rate to achieve adaptive control of the material ratio.

[0012] Furthermore, the pressure detection unit includes at least a first pressure sensor and a second pressure sensor arranged along the flow direction of the liquid base seasoning at intervals of a specific pipe length, for obtaining the pressure values ​​at both ends of the pipe section.

[0013] Furthermore, the controller is further configured to: calculate the measured pressure gradient based on the detection values ​​of the first pressure sensor and the second pressure sensor, and simultaneously calculate its average flow velocity based on the real-time mass flow rate of the liquid base seasoning measured by the flow detection unit, the known reference density, and the pipe cross-sectional area.

[0014] Furthermore, the controller is further configured to: calculate the equivalent physical property observation value of the liquid base seasoning under the current operating conditions by combining the measured pressure gradient, the average flow rate, the real-time drive current of the delivery pump, and the real-time mass flow rate of the liquid base seasoning with the known electrical parameters, efficiency parameters, pipeline geometric parameters of the delivery pump, and preset weighting coefficients, through a specific coupled observation algorithm. This observation value comprehensively reflects the change of the rheological properties of the liquid base seasoning, such as viscosity, relative to the reference state.

[0015] Furthermore, the specific coupled observation algorithm integrates a direct calculation term based on the measured pressure gradient and an indirect calculation term based on the relationship between pump drive current and flow rate. The weighting coefficient is used to balance the influence of the two terms and is determined through system calibration under baseline conditions.

[0016] Furthermore, the controller is further configured to: dynamically calculate the compensation coefficient based on the ratio of the calculated current equivalent physical characteristic observation value to the preset benchmark physical characteristic value, and in combination with the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate, through a preset nonlinear compensation function.

[0017] Furthermore, the nonlinear compensation function includes a power-law operation term and an exponential operation term with the ratio as the variable. The exponential operation term further introduces the coupling effect of the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate. The constant parameters in the power-law operation term and the exponential operation term are predetermined according to the mixing process characteristics of the specific liquid base seasoning and solid seasoning auxiliary materials.

[0018] Furthermore, the controller is further configured to: multiply the initial theoretical flow rate setpoint of each solid seasoning ingredient by a feedback correction factor that is the ratio of the current system's actual total flow rate to the target total flow rate, and then multiply by the compensation coefficient to obtain the real-time target flow rate of the solid seasoning ingredient after compensation.

[0019] Furthermore, the controller is further configured to: for each solid seasoning ingredient, compare its compensated real-time target flow rate with the real-time actual flow rate fed back by the ingredient flow detection device, and obtain a first adjustment amount through a feedback control algorithm; simultaneously, use the compensation coefficient as a feedforward factor to apply to the basic control command of the precision feeding device to generate a second adjustment amount; finally, combine the first adjustment amount and the second adjustment amount to form the composite control command, which is used to adjust the feeding rate of the precision feeding device.

[0020] Furthermore, the controller is also configured to: cyclically execute data acquisition, equivalent physical characteristic observation value calculation, compensation coefficient calculation, and composite control command generation and issuance steps at a fixed sampling period during system operation, thereby achieving continuous dynamic adaptive adjustment.

[0021] The present invention has the following beneficial effects:

[0022] This invention indirectly constructs an online observation of the rheological properties of the main material by real-time monitoring the coupling changes of the pressure gradient and the drive pump current during the conveying process of the main material. Based on this observation, a feedforward compensation coefficient for the proportion and flow rate of auxiliary materials is dynamically generated. Combined with the flow feedback closed loop, a composite control structure is formed. This method can actively adjust the addition ratio of auxiliary materials when the properties of the main material fluctuate naturally, which helps to reduce the deviation of the final product composition caused by changes in the rheological state of the main material. It improves the adaptability and output stability of the continuous proportioning process in response to the inherent variables of raw materials, and provides a new control approach for continuous production processes that require uniform mixing.

[0023] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of the material flow adaptive control system in the continuous proportioning process of seasonings according to the present invention. Detailed Implementation

[0026] 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.

[0027] Please see Figure 1 As shown, the present invention is a material flow adaptive control system for a continuous seasoning formulation process, comprising:

[0028] The main conveying unit is used for continuous conveying of liquid base seasonings, and includes a conveying pump, a pressure detection unit and a flow detection unit located on the pump outlet pipeline;

[0029] At least one auxiliary material feeding unit is connected to the output pipeline of the main conveying unit for continuously adding solid seasoning auxiliary materials to the liquid base seasoning. Each auxiliary material feeding unit includes a precision feeding device and an auxiliary material flow detection device located at its outlet.

[0030] Temperature detection unit, used to detect the temperature of liquid base seasoning in real time;

[0031] The controller is connected to the main conveying unit, auxiliary material feeding unit, pressure detection unit, flow detection unit, auxiliary material flow detection device, and temperature detection unit respectively.

[0032] The controller is configured to perform the following operations: calculate and set the initial theoretical flow rate of each material according to the preset production formula; synchronously collect operating data from the pressure detection unit, flow detection unit, temperature detection unit, and each auxiliary material flow detection device in real time; calculate the equivalent physical property observation value reflecting the current rheological characteristics of the liquid base seasoning based on the collected pipeline pressure data, pump operating parameters, flow data, and pipeline geometric parameters; dynamically calculate the compensation coefficient used to correct the target flow rate of the solid seasoning auxiliary material based on the equivalent physical property observation value and the real-time collected flow data; and generate a composite control command based on the target flow rate of the solid seasoning auxiliary material corrected by the compensation coefficient and its corresponding real-time actual flow rate, and send it to the corresponding auxiliary material feeding unit to achieve adaptive control of the material ratio.

[0033] The pressure detection unit includes at least a first pressure sensor and a second pressure sensor arranged along the flow direction of the liquid base seasoning at intervals of a specific pipe length, for obtaining the pressure values ​​at both ends of the pipe section.

[0034] The controller is further configured to: calculate the measured pressure gradient based on the detection values ​​of the first pressure sensor and the second pressure sensor, and simultaneously calculate the average flow velocity based on the real-time mass flow rate of the liquid base seasoning measured by the flow detection unit, the known reference density, and the pipe cross-sectional area.

[0035] The controller is further configured to: combine the measured pressure gradient, average flow velocity, real-time drive current of the delivery pump, and real-time mass flow rate of the liquid base seasoning with the known electrical parameters, efficiency parameters, pipeline geometric parameters, and preset weighting coefficients of the delivery pump, and calculate the equivalent physical property observation value of the liquid base seasoning under the current operating conditions through a specific coupled observation algorithm. This observation value comprehensively reflects the change of rheological properties such as viscosity of the liquid base seasoning relative to the reference state.

[0036] The specific coupled observation algorithm integrates a direct calculation term based on the measured pressure gradient and an indirect calculation term based on the relationship between pump drive current and flow rate. The weighting coefficient is used to balance the influence of the two terms and is determined by the calibration of the system under the baseline state.

[0037] The controller is further configured to dynamically calculate the compensation coefficient based on the ratio of the calculated current equivalent physical property observation value to the preset benchmark physical property value, and in combination with the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate, through a preset nonlinear compensation function.

[0038] The nonlinear compensation function includes power-law and exponential terms with ratio as variables. The exponential term further introduces the coupling effect of the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate. The constant parameters in the power-law and exponential terms are predetermined based on the mixing process characteristics of the specific liquid base seasoning and solid seasoning auxiliary materials.

[0039] The controller is further configured to: multiply the initial theoretical flow rate setpoint of each solid seasoning ingredient by a feedback correction factor that is the ratio of the current system's actual total flow rate to the target total flow rate, and then multiply by a compensation coefficient to obtain the real-time target flow rate of the solid seasoning ingredient after compensation.

[0040] The controller is further configured to: for each solid seasoning ingredient, compare its compensated real-time target flow rate with the real-time actual flow rate fed back by the ingredient flow detection device, and obtain a first adjustment amount through a feedback control algorithm; at the same time, use the compensation coefficient as a feedforward factor to apply to the basic control command of the precision feeding device to generate a second adjustment amount; finally, combine the first adjustment amount and the second adjustment amount to form a composite control command to adjust the feeding rate of the precision feeding device.

[0041] The controller is also configured to perform data acquisition, equivalent physical characteristic observation calculation, compensation coefficient calculation, and composite control command generation and issuance steps in a fixed sampling period during system operation, so as to achieve continuous dynamic adaptive adjustment.

[0042] One specific application of this embodiment is:

[0043] Step S1: System Initialization and Parameter Preset

[0044] Step S101: The system starts, and the controller loads the preset production formula parameters. For the production line of tomato sauce mixed with chili powder, onion powder, and garlic powder, the preset parameters include:

[0045] Target total flow ; Base mass percentage of tomato sauce Target quality percentages of chili powder, onion powder, and garlic powder ,satisfy

[0046] In the formula, This represents the target mass percentage for each solid powder.

[0047] Tomato sauce at the base temperature and reference solids content Reference density below

[0048] and reference viscosity ;

[0049] Known geometric parameters of the mixed pipeline: pipe inner diameter The length of the pipeline from the outlet of the tomato sauce delivery pump to the solid powder injection point. This section of the pipeline is a straight pipe, without any reducers or bends.

[0050] The bulk density of solid powders ;

[0051] Step S102: The controller calculates the theoretical mass flow rate setpoint for each material based on the target total flow rate and the percentage of each component.

[0052] Theoretical mass flow rate of tomato sauce Theoretical mass flow rates of various solid powders In the formula, For the first Theoretical or set mass flow rate for solid powders; For the first The percentage by mass of a solid powder in the final product;

[0053] Step S103: ... The variable frequency drive (VFD) output to the tomato sauce delivery pump serves as its initial flow control setpoint; [the following is a list of parameters / values]... The value is sent to the precision screw feeder controller of the corresponding solid powder as its initial feed flow rate setting;

[0054] Step S2: Real-time synchronous acquisition of key operational data

[0055] Step S201: The system enters the running state; the controller operates at a fixed sampling period. The following data will be collected simultaneously:

[0056] Data Group A:

[0057] On the tomato sauce delivery pipeline, the distance is Pressure values ​​measured by two pressure sensors and ; Located near the pump outlet, Located in front of the solid powder injection point;

[0058] The inverter output current of the tomato sauce delivery pump drive motor ;

[0059] Real-time temperature measured by temperature sensors installed on the tomato sauce delivery pipeline ;

[0060] Data set B:

[0061] The instantaneous mass flow rate is fed back by the punch flow meter or loss-in-weight scale of each feeder for chili powder, onion powder, and garlic powder. ;

[0062] Data set C:

[0063] Instantaneous mass flow rate measured by a Coriolis mass flow meter installed on the tomato sauce pipeline ;

[0064] Step S3: Calculation of equivalent viscosity observations

[0065] Step S301: In each sampling period Inside, the controller first processes data group A;

[0066] Step S302: Calculate the length of the tomato sauce. Measured pressure gradient inside the pipe :

[0067] This value reflects the resistance of tomato sauce flowing through this pipe section under the current operating conditions;

[0068] Step S303: Based on the data collected from data group C and known pipe inner diameter Calculate the average flow rate of the tomato sauce at the current flow rate. :

[0069]

[0070] In the formula, This converts the flow rate unit from kg / h to kg / s. It is the cross-sectional area of ​​the pipe;

[0071] Step S304: Introduce the algorithm for the equivalent viscosity observer; the algorithm is based on the modified form of the Hagen-Poiseuille equation for laminar flow of non-Newtonian fluid (tomato sauce is regarded as a power-law fluid) in a circular pipe, and establishes the relationship in combination with the current-torque characteristics of the pump.

[0072] First, calculate the theoretical pressure gradient. If tomato sauce is a Newtonian fluid, its theoretical pressure gradient is proportional to its viscosity:

[0073]

[0074] However, tomato sauce is a power-law fluid, so a consistency coefficient is introduced. and rheological index To simplify online calculations, we will Equivalent viscosity compared to current observations Related, We take an empirical constant value; for example, for ketchup, n≈0.3-0.4, which is assumed here. ;

[0075] For power-law fluid laminar flow, the average velocity The relationship with the pressure gradient is as follows:

[0076]

[0077] Reorganize, can Expressed as , , , , The function;

[0078] Establish a balance between the measured pressure gradient and the driving torque reflected by the pump current; the effective hydraulic power of the pump. The pump's electrical power is approximately equal to its current. and voltage (assumed to be constant) Proportional to mechanical efficiency Assuming that the changes are not significant within the operating range, a proportional relationship can be established: ;

[0079] Define the coupled observation equations for viscosity, current, and pressure gradients:

[0080]

[0081] In the formula, The calculated current equivalent viscosity of the tomato sauce is used to characterize the real-time changes in the material's rheological properties. All are weighting coefficients; This is the measured pressure gradient obtained directly from the pressure sensor. , They are located at lengths of Pressure sensor readings at the beginning and end of the pipe section; The length of the pipe between the two pressure sensors used to measure the differential pressure; The inverter output current for the motor driving the tomato sauce delivery pump; The power supply voltage for the motor that drives the pump; The overall efficiency of the delivery pump is obtained through system calibration; The term is used to approximately deduct the effect of dynamic head; this formula combines direct differential pressure calculation and indirect pump power estimation, improving the observation robustness under flow fluctuations;

[0082] Step S305: Collect and calculate the results from steps S302 and S303. and known constants Substituting into the above coupled observation equation, the equivalent viscosity observation value for the current sampling period is calculated in real time. ;

[0083] Step S4: Calculation of solid powder flow compensation based on equivalent viscosity

[0084] Step S401: The controller processes data group B and data group C to obtain the current actual flow rate of each material. ;

[0085] Step S402: Calculate the current actual total flow. ;

[0086] Step S403: Calculate the compensation coefficient for the effective mixing volume change caused by the change in the viscosity of the tomato sauce. ;

[0087] The uniformity of dispersion of solid powders in tomato sauce is related to the residence time and shear force of the powder particles in the tomato sauce matrix, which is directly affected by the apparent viscosity of the tomato sauce; viscosity Increasing the viscosity slows down the settling velocity of the powder particles, but increases the energy required for dispersion; to maintain the set dispersion uniformity, the effective mixing rate of the powder relative to the tomato sauce needs to be adjusted; we define a viscosity-related compensation coefficient based on a preset reference viscosity. and the currently observed viscosity The calculation and compensation formula is as follows:

[0088]

[0089] In the formula, As a compensation coefficient used to correct the target flow rate of solid powder, it quantifies the impact of viscosity changes on the mixing effect; This is the reference viscosity of the tomato sauce under baseline conditions; , All are empirical constants; For the natural constant An exponential function with base 0; The theoretical mass flow rate setpoint for tomato sauce, calculated based on the production formula, is a process setting parameter. This is the ratio of the actual to the set value of the tomato paste flow rate, used to introduce the effect of flow rate deviation on hybrid dynamics; the formula reflects the nonlinear effect of viscosity change and the exponential correction term coupled with flow rate.

[0090] Step S404: Calculate the target mass flow rate after compensation for each solid powder. :

[0091] In the formula, After total flow feedback and viscosity compensation, the first Real-time target mass flow rate of a solid powder;

[0092] The first calculated based on the production formula The initial theoretical mass flow rate setting value for the solid powder;

[0093] This represents the system's actual total mass flow rate; The preset target total mass flow rate; It is a total flow feedback correction item to ensure that the percentage of each component remains stable when the total flow fluctuates; This is the viscosity compensation coefficient calculated in step S403; this step compensates for the influence of viscosity observations using the compensation coefficient. It is integrated into the target value of powder flow rate in real time;

[0094] Step S5: Generation and Issuance of Composite Control Commands

[0095] Step S501, Feedback Control Loop: For each type of solid powder, the controller adjusts the target flow rate after compensation. Compared with the current actual traffic (From Data Group B) Comparisons were made, and the proportional-integral (PI) control algorithm was used to calculate the feeder speed adjustment command. ;

[0096] Error calculation: ;

[0097] PI control: In the formula, In time Speed ​​adjustment amount at time; The proportional gain of the proportional controller; The integral gain of the proportional controller; In time Flow deviation at that time; For the first The actual mass flow rate at the outlet of the solid powder feeder is measured by a punch flow meter or loss-in-weight scale, etc. , All are preset controller parameters;

[0098] Step S502, Feedforward Compensation Loop: Simultaneously, As a feedforward factor, it is directly multiplied into the feeder's base speed command; the feeder's final speed setpoint. It is given by the following formula:

[0099]

[0100] In the formula, To be distributed to the first The final speed setting command for the solid powder feeder controller; In order to be with the first Initial theoretical setting value of solid powder The corresponding feeder base speed command is calculated based on the feeder's calibration characteristics; The speed adjustment is calculated by the feedback control loop; this feedforward (based on viscosity observation and total flow) × feedback (based on actual flow deviation) composite structure can quickly respond to viscosity changes and maintain high accuracy;

[0101] Step S503: Calculate the... The instructions are sent in real time to the corresponding chili powder, onion powder, and garlic powder feeder controllers.

[0102] Step S504: For the tomato sauce flow rate, the controller will... and In comparison, the frequency converter of the delivery pump is adjusted by an independent PI controller to maintain a stable tomato sauce flow rate; this control loop operates independently but provides a stable supply for the entire system. data.

[0103] Step S6: Execute repeatedly and update dynamically

[0104] Step S601: The system in each sampling period Within this period, steps S2 to S5 are repeated.

[0105] Step S602: During operation, continuously record... , Actual flow rates and control commands; these data can be used to monitor system status and, when necessary, adjust empirical constants. , Alternatively, the controller parameters can be optimized.

[0106] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0107] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A material flow adaptive control system for a continuous proportioning process of seasonings, characterized in that, The system includes: The main conveying unit is used to continuously convey the liquid base seasoning, and includes a conveying pump, a pressure detection unit and a flow detection unit located on the pump outlet pipeline; At least one auxiliary material feeding unit is connected to the output pipeline of the main conveying unit for continuously adding solid seasoning auxiliary materials to the liquid base seasoning. Each auxiliary material feeding unit includes a precision feeding device and an auxiliary material flow detection device located at its outlet. A temperature detection unit is used to detect the temperature of the liquid base seasoning in real time; The controller is connected to the main conveying unit, auxiliary material feeding unit, pressure detection unit, flow detection unit, auxiliary material flow detection device and temperature detection unit respectively; The controller is configured to perform the following operations: calculate and set the initial theoretical flow rate of each material according to a preset production formula; synchronously collect operating data from the pressure detection unit, the flow detection unit, the temperature detection unit, and each of the auxiliary material flow detection devices in real time; calculate the equivalent physical property observation value reflecting the current rheological characteristics of the liquid base seasoning based on the collected pipeline pressure data, pump operating parameters, flow data, and pipeline geometric parameters; dynamically calculate the compensation coefficient for correcting the target flow rate of the solid seasoning auxiliary material based on the equivalent physical property observation value and the real-time collected flow data; and generate a composite control command and send it to the corresponding auxiliary material feeding unit based on the target flow rate of the solid seasoning auxiliary material corrected by the compensation coefficient and its corresponding real-time actual flow rate to achieve adaptive control of the material ratio.

2. The material flow adaptive control system for a continuous seasoning proportioning process according to claim 1, characterized in that, The pressure detection unit includes at least a first pressure sensor and a second pressure sensor arranged along the flow direction of the liquid base seasoning at intervals of a specific pipe length, for obtaining the pressure values ​​at both ends of the pipe section.

3. The material flow adaptive control system for a continuous seasoning proportioning process according to claim 2, characterized in that, The controller is further configured to: calculate the measured pressure gradient based on the detection values ​​of the first pressure sensor and the second pressure sensor, and simultaneously calculate the average flow velocity based on the real-time mass flow rate of the liquid base seasoning measured by the flow detection unit, the known reference density, and the pipe cross-sectional area.

4. The material flow adaptive control system for a continuous seasoning proportioning process according to claim 3, characterized in that, The controller is further configured to: calculate the equivalent physical property observation value of the liquid base seasoning under the current operating conditions by combining the measured pressure gradient, the average flow velocity, the real-time drive current of the delivery pump, the real-time mass flow rate of the liquid base seasoning, the known electrical parameters, efficiency parameters, pipeline geometric parameters of the delivery pump, and preset weighting coefficients, through a specific coupled observation algorithm. This observation value comprehensively reflects the change of the rheological properties of the liquid base seasoning, such as viscosity, relative to the reference state.

5. The material flow adaptive control system for a continuous seasoning proportioning process according to claim 4, characterized in that, The specific coupled observation algorithm integrates a direct calculation term based on the measured pressure gradient and an indirect calculation term based on the relationship between pump drive current and flow rate. The weighting coefficient is used to balance the influence of the two terms and is determined by the calibration of the system under the reference state.

6. The material flow adaptive control system for a continuous proportioning process of seasonings according to claim 5, characterized in that, The controller is further configured to: dynamically calculate the compensation coefficient based on the ratio of the calculated current equivalent physical property observation value to the preset benchmark physical property value, and in combination with the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate, through a preset nonlinear compensation function.

7. The material flow adaptive control system for a continuous proportioning process of seasonings according to claim 6, characterized in that, The nonlinear compensation function includes a power law operation term and an exponential operation term with the ratio as the variable. The exponential operation term further introduces the coupling effect of the ratio of the real-time flow rate of the liquid base seasoning to the set flow rate. The constant parameters in the power law operation term and the exponential operation term are predetermined according to the mixing process characteristics of the specific liquid base seasoning and solid seasoning auxiliary materials.

8. The material flow adaptive control system for a continuous proportioning process of seasonings according to claim 7, characterized in that, The controller is further configured to: multiply the initial theoretical flow rate setpoint of each solid seasoning ingredient by a feedback correction factor that is the ratio of the current system's actual total flow rate to the target total flow rate, and then multiply by the compensation coefficient to obtain the real-time target flow rate of the solid seasoning ingredient after compensation.

9. The material flow adaptive control system for a continuous proportioning process of seasonings according to claim 8, characterized in that, The controller is further configured to: for each solid seasoning ingredient, compare its compensated real-time target flow rate with the real-time actual flow rate fed back by the ingredient flow detection device, and obtain a first adjustment amount through a feedback control algorithm; simultaneously, use the compensation coefficient as a feedforward factor to apply to the basic control command of the precision feeding device to generate a second adjustment amount; finally, combine the first adjustment amount and the second adjustment amount to form the composite control command, which is used to adjust the feeding rate of the precision feeding device.

10. The material flow adaptive control system for a continuous proportioning process of seasonings according to claim 1, characterized in that, The controller is also configured to: cyclically perform data acquisition, equivalent physical characteristic observation calculation, compensation coefficient calculation, and composite control command generation and issuance steps at a fixed sampling period during system operation, thereby achieving continuous dynamic adaptive adjustment.

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