Self-adaptive soft yolk egg demolding method and system and storage medium

Abstract

The invention relates to the technical field of soft boiled egg processing, and discloses a self-adaptive soft boiled egg stripping method and system and a storage medium, and the method comprises the following steps: obtaining a near infrared spectrum signal and an ultrasonic echo signal of an eggshell membrane through a sensing module; calculating a chemical component evaluation value reflecting the chemical component change of the film, and calculating a physical structure evaluation value reflecting the physical structure change of the film; calculating a comprehensive demolding state evaluation value S; based on the comprehensive evaluation value S, the pH value, the temperature and the enzyme concentration of the treating fluid are subjected to coupling adjustment. The dynamic change of the eggshell membrane is comprehensively captured in real time, the membrane removing process can be more accurately controlled through coupling adjustment, membrane residues or egg body damage is avoided, the one-time membrane removing success rate and the consistency of the product quality are remarkably improved, and the problems that the membrane removing efficiency is low and the product quality is unstable due to the lack of dynamic adjustment capacity are solved.

Description

Technical Field

[0001] This invention relates to the field of soft-boiled egg processing technology, specifically to an adaptive soft-boiled egg decoction method, system, and storage medium. Background Technology

[0002] In some soft-boiled egg processing techniques, a decoction mechanism is used to remove the egg membrane. CN222264358U discloses a soft-boiled egg decoction mechanism, including a frame, at least two rollers, and a decoction structure. At least one end of each roller is equipped with a connecting gear, which has a meshing connecting rack. The connecting rack is fixedly connected to the frame. Soft-boiled eggs are placed between adjacent rollers. The decoction structure includes a pressurized water pipe and atomizing nozzles. Several atomizing nozzles are mounted on and connected to the pressurized water pipe, with the nozzle outlets facing the rollers. This method ensures the integrity of the egg surface while effectively removing the membrane, improving the decoction efficiency and success rate of soft-boiled eggs.

[0003] Existing shell removal mechanisms suffer from the following problems: They struggle to dynamically adjust removal process parameters based on the real-time condition of the eggshell membrane, resulting in low applicability and unstable removal efficiency. Specifically, the eggshell membrane's chemical composition and physical structure dynamically change during processing, affecting removal efficiency. Current technologies employ fixed or pre-set process parameters, which cannot adapt to differences in eggshell membrane conditions across different batches, storage conditions, or varieties.

[0004] Based on the above situation, there is an urgent need for an adaptive method, system, and storage medium for removing soft-boiled eggs, in order to solve the problems of low removal efficiency and unstable product quality caused by the lack of dynamic adjustment capability. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing eggshell membrane removal mechanisms, which struggle to dynamically adjust process parameters based on the real-time condition of the eggshell membrane, resulting in low applicability and unstable removal efficiency. Specifically, the eggshell membrane's chemical composition and physical structure dynamically change during processing, affecting removal efficiency. Existing technologies employ fixed or pre-set process parameters, which cannot adapt to variations in eggshell membrane conditions across different batches, storage conditions, or varieties. This invention solves the problem of low removal efficiency and unstable product quality caused by the lack of dynamic adjustment capabilities.

[0006] The technical solution of the present invention is as follows: Firstly, an adaptive method for removing soft-boiled eggs from their membranes is provided, including: The near-infrared spectral signal and ultrasonic echo signal of the eggshell membrane are acquired through the sensing module. Based on the near-infrared spectral signal, a chemical composition assessment value reflecting changes in the membrane's chemical composition is calculated; based on the ultrasonic echo signal, a physical structure assessment value reflecting changes in the membrane's physical structure is calculated. Calculate the comprehensive decoction status assessment value S based on the chemical composition assessment value and the physical structure assessment value; Based on the comprehensive evaluation value S, the pH value, temperature and enzyme concentration of the treatment solution are coupled and regulated. The coupled regulation includes: when it is necessary to accelerate the decoction process, the pH value is decreased while the temperature is increased; when it is necessary to slow down the decoction process, the pH value is increased while the temperature is decreased.

[0007] Existing demolding mechanisms struggle to dynamically adjust demolding process parameters based on the real-time state of the eggshell membrane, resulting in low applicability and unstable demolding effects. Specifically, the demolding efficiency is affected by dynamic changes in the chemical composition and physical structure of the eggshell membrane during processing. Current technologies employ fixed or pre-set process parameters, which cannot adapt to the differences in eggshell membrane states across different batches, storage conditions, or varieties. In this solution, near-infrared spectroscopy and ultrasonic echoes enable real-time and comprehensive capture of the dynamic changes in the eggshell membrane from two key dimensions: chemical composition and physical structure. The comprehensive evaluation value S provides a more precise quantitative basis for process adjustment. Coupled adjustment allows for more accurate control of the demolding process, avoiding membrane residue or egg damage, significantly improving the one-time demolding success rate and product quality consistency, and solving the problems of low demolding efficiency and unstable product quality caused by the lack of dynamic adjustment capabilities.

[0008] Furthermore, to ensure the integrity and high efficiency of the egg products, one feasible solution is to perform ultrasonic post-processing after the coupling adjustment. Based on the magnitude of the comprehensive evaluation value S, ultrasonic processing programs with different frequencies and powers are automatically matched and executed, wherein the frequency range of the ultrasonic processing programs is between 15-40kHz and the power density range is between 0.2-1.2W / cm².

[0009] When using this solution, different frequencies and powers of ultrasound are automatically matched for post-processing based on the comprehensive evaluation value S. This achieves precise grading of physical peeling force, avoids insufficient processing or physical overshoot that may be caused by a single ultrasound parameter, and ensures that the final demolding is completed in the most economical and safest way on the basis of chemical softening, thus guaranteeing the integrity and high efficiency of the egg products.

[0010] Furthermore, to improve reliability in production environments, one feasible solution is to implement degradation control when the near-infrared spectral signal or ultrasonic echo signal fails. Calculate the quality parameters of the near-infrared spectral signal and the ultrasonic echo signal. When the quality parameters of the near-infrared spectral signal or the ultrasonic echo signal are lower than the failure threshold for multiple consecutive cycles, a failure determination is triggered. Based on historical production data, a parameter table for conservative processes is established with the reading range of physical structure evaluation values ​​and chemical composition evaluation values ​​as the main index dimension. If the near-infrared spectral signal fails, control is executed by querying the parameter table based on the physical structure evaluation value; If the ultrasonic echo signal fails, control is executed by querying the parameter table based on the chemical composition evaluation value.

[0011] When this solution is adopted, signal quality parameters are monitored in real time and failure is determined. Once a failure is determined, the system switches to a conservative process parameter table based on historical production big data for downgrade control. Parameters that have been historically verified and can guarantee basic process effects are used, thereby effectively preventing the scrapping of the entire batch of products due to incorrect decisions in high-risk conditions such as sensor module failure. This ensures the continuity and stability of production and improves reliability in the production environment.

[0012] Furthermore, this scheme does not exclusively limit the specific calculation method for near-infrared spectral signal quality parameters; one feasible scheme is as follows: near-infrared spectral signal quality parameters Q 1 Calculated using the following formula: Q 1= k 1 f 1( SNR )+ k 2 f 2( BD )+ k 3 f 3( LR ); in SNR The signal-to-noise ratio of the characteristic absorption peak. , BD This represents the spectral baseline drift rate. , LR For data packet loss rate, , k 1 , k 2 , k 3 All are weighting coefficients. k 1 + k 2 + k 3 =1.

[0013] When this scheme is adopted, objective and quantitative judgment criteria are provided for fault diagnosis of near-infrared spectral signals by using the signal-to-noise ratio of characteristic absorption peaks, spectral baseline drift rate, and data packet loss rate.

[0014] Furthermore, this scheme does not exclusively limit the specific calculation method for ultrasonic echo signal quality parameters; one feasible scheme is: ultrasonic echo signal quality parameters Q 2 Calculated using the following formula: ; in EA Main echo amplitude, , AC For consistent signal attenuation, , TFS For time flight standard deviation, , m 1 , m 2 , m 3 All are weighting coefficients. m 1 + m 2 + m 3 =1.

[0015] When this scheme is adopted, objective and quantitative judgment criteria are provided for fault diagnosis of near-ultrasonic echo signals by using the main echo amplitude, signal attenuation consistency and time flight standard deviation.

[0016] Furthermore, to avoid abrupt changes in control commands at the switching point, one feasible solution is to perform a smooth switch once the near-infrared spectral signal or ultrasonic echo signal is recovered. When both the near-infrared spectral signal quality parameter and the ultrasonic echo signal quality parameter are higher than the recovery threshold and remain higher for several cycles, the switching process is initiated. During the predetermined transition period, the control command = λ ×Control command calculated based on the chemical composition evaluation value and physical structure evaluation value + (1- λ The query results for the parameter table include: λ It is a transition factor that gradually increases from 0 to 1.

[0017] This approach allows for a smooth transition from degraded control to normal coupling regulation, preventing the impact of drastic fluctuations in process parameters on the demolding process and ensuring the stability of product quality during the sensor module recovery period. This design demonstrates the system's high level of intelligence and engineering practicality.

[0018] Furthermore, the calculation of the comprehensive demulsification state evaluation value S includes a weight adjustment strategy based on the processing stage: When the ratio of processing time t to total process time T t / T When the value is ≤0.3, the weight of the chemical composition assessment value shall not be less than 0.5; When 0.3 < t / T When the value is ≤0.7, the weight of the physical structure evaluation value shall not be less than 0.4; when t / T When the value is greater than 0.7, the weight of the physical structure evaluation value shall not be less than 0.5.

[0019] This approach effectively overcomes the shortcomings of fixed-weight calculation, such as its lack of specificity and inaccurate state assessment throughout the process, thereby significantly improving the accuracy of the comprehensive state assessment value S and the precision of process control.

[0020] Secondly, an adaptive soft-boiled egg demolding system is provided for performing the above-mentioned demolding method, including: The sensing module is used to acquire the near-infrared spectral signal and ultrasonic echo signal of the eggshell membrane; The processing module is used to calculate the comprehensive evaluation value S based on the near-infrared spectral signal and the ultrasonic echo signal; The adjustment module is used to couple and adjust the pH value, temperature and enzyme concentration of the treatment solution based on the comprehensive evaluation value S, wherein the pH value and temperature are adjusted in opposite directions.

[0021] In this approach, the sensing module ensures high-fidelity, synchronous acquisition of eggshell membrane state information; the processing module provides a dedicated computing environment for this complex algorithm, guaranteeing low latency and high reliability from data to decision; and the adjustment module, acting as the execution terminal, ensures that the control commands generated based on the comprehensive evaluation value S can be accurately and quickly translated into physical adjustments to the processing fluid parameters. This ensures that the shell removal process operates with high repeatability and stability, thereby continuously improving shell removal efficiency and product quality consistency in industrial production.

[0022] Furthermore, this solution does not exclusively limit the specific structure of the adjustment module; one feasible solution is that the adjustment module includes: Parallel metering pump sets used to adjust the pH value of the treatment solution; Plate heat exchangers used for precise control of the temperature of the processing fluid; And a broadband ultrasonic generator for performing physical post-processing.

[0023] When this scheme is adopted, the parallel metering pump set avoids process interruption caused by the failure of a single pump through redundancy design, and realizes the addition of pH adjustment liquid with small flow rate and high precision, overcoming the step and delay problems of traditional single pump adjustment; the plate heat exchanger achieves rapid and stable control of the temperature of the treatment liquid with its high heat transfer efficiency, ensuring the optimal and constant temperature environment required for enzymatic reaction; the wideband ultrasonic generator can flexibly adjust the ultrasonic treatment program within the preset range, which can cover the process requirements from low frequency loosening to high frequency peeling.

[0024] Thirdly, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, performs the above-described stripping method.

[0025] Compared with existing technologies, the advantages of this invention are: I. By using near-infrared spectroscopy and ultrasonic echo, the dynamic changes of eggshell membrane can be captured in real time and comprehensively from two key dimensions: chemical composition and physical structure. The comprehensive evaluation value S provides a more accurate quantitative basis for process adjustment. Coupled adjustment can more precisely control the demolding process, avoid membrane residue or egg damage, significantly improve the success rate of one-time demolding and the consistency of product quality, and solve the problems of low demolding efficiency and unstable product quality caused by lack of dynamic adjustment capability. Second, by automatically matching and executing ultrasonic processing programs of different frequencies and powers through comprehensive evaluation values, the physical peeling force is accurately graded, avoiding insufficient processing or physical overshoot that may be caused by a single ultrasonic parameter. This ensures that the final demolding is completed in the most economical and safest way on the basis of chemical softening, thus guaranteeing the integrity and high efficiency of the egg products. Third, by monitoring signal quality parameters in real time and determining failure, once a failure is determined, the system switches to a conservative process parameter table built based on historical production big data for downgrade control. It adopts parameters that have been historically verified and can guarantee the basic process effect, thereby effectively preventing the scrapping of the entire batch of products due to wrong decisions in high-risk conditions such as sensor module failure, ensuring the continuity and stability of production, and improving reliability in the production environment. Attached Figure Description

[0026] Figure 1 A flowchart of an adaptive soft-boiled egg demolding method provided in Embodiment 1 of the present invention; Figure 2 This is a flowchart of the degradation control provided in Embodiment 1 of the present invention; Figure 3 A smooth switching flowchart provided for Embodiment 1 of the present invention; Figure 4 This is a schematic diagram of an adaptive soft-boiled egg demolding system provided in Embodiment 2 of the present invention.

[0027] Figure label: 100. Sensing module; 200. Processing module; 300. Adjustment module. Detailed Implementation

[0028] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0029] The features and performance of the present invention will be further described in detail below with reference to embodiments.

[0030] Example 1: Please refer to Figure 1 An adaptive method for removing soft-boiled eggs from their membranes, comprising: S100: Acquire near-infrared spectral signals and ultrasonic echo signals of the eggshell membrane through the sensing module; S200: Calculate chemical composition evaluation values ​​reflecting changes in membrane chemical composition based on near-infrared spectral signals, and calculate physical structure evaluation values ​​reflecting changes in membrane physical structure based on ultrasonic echo signals. S300, Calculate the comprehensive demolding status assessment value S based on the chemical composition assessment value and the physical structure assessment value; S400. Based on the comprehensive evaluation value S, the pH, temperature, and enzyme concentration of the treatment solution are coupled and adjusted. This coupling adjustment includes: when accelerating the decoction process, decreasing the pH while increasing the temperature; when slowing down the decoction process, increasing the pH while decreasing the temperature. Specifically, those skilled in the art can achieve this coupling adjustment by establishing a mapping table between the comprehensive evaluation value S and pH, temperature, and enzyme concentration (e.g., through experimental data fitting or empirical setting) according to actual process requirements. For example, when the S value is below 0.3, the pH is set to 5.0, the temperature to 50°C, and the enzyme concentration to 2.0%; when the S value is between 0.3 and 0.7, the pH is set to 6.0, the temperature to 45°C, and the enzyme concentration to 1.2%, etc.

[0031] Existing demolding mechanisms struggle to dynamically adjust demolding process parameters based on the real-time state of the eggshell membrane, resulting in low applicability and unstable demolding effects. Specifically, the demolding efficiency is affected by dynamic changes in the chemical composition and physical structure of the eggshell membrane during processing. Current technologies employ fixed or pre-set process parameters, which cannot adapt to the differences in eggshell membrane states across different batches, storage conditions, or varieties. In this solution, near-infrared spectroscopy and ultrasonic echoes enable real-time and comprehensive capture of the dynamic changes in the eggshell membrane from two key dimensions: chemical composition and physical structure. The comprehensive evaluation value S provides a more precise quantitative basis for process adjustment. Coupled adjustment allows for more accurate control of the demolding process, avoiding membrane residue or egg damage, significantly improving the one-time demolding success rate and product quality consistency, and solving the problems of low demolding efficiency and unstable product quality caused by the lack of dynamic adjustment capabilities.

[0032] Optionally, the treatment solution is a mixture of chitinase and lysozyme in a mass ratio between 1:2 and 1:5.

[0033] This scheme does not exclusively limit the specific calculation method of the comprehensive evaluation value S. One feasible scheme is to calculate the comprehensive evaluation value S using the following formula: ; in α , β , γ All are weighting coefficients and α + β + γ =1, A t The absorbance of specific characteristic absorption peaks (such as chitin or protein) measured from the eggshell membrane. A r The initial absorbance of the same characteristic absorption peak measured on the eggshell membrane that has not been immersed in the treatment solution and has not undergone any chemical or physical demembranous treatment. Δt The time difference required for ultrasound to penetrate the eggshell membrane. t max To preset the maximum propagation time, F(t) To vary with processing time t Monotonically increasing time factor This is a chemical composition evaluation value. This is a physical structure evaluation value.

[0034] Optionally, in this embodiment, ,in T The preset total process time, k This is a proportionality coefficient determined based on experience.

[0035] To ensure the integrity and efficiency of egg products, one feasible solution is to perform ultrasonic post-processing after coupling adjustment. S400: Based on the magnitude of the comprehensive evaluation value S, automatically match and execute ultrasonic processing programs with different frequencies and powers, wherein the frequency range of the ultrasonic processing programs is between 15-40kHz and the power density range is between 0.2-1.2W / cm².

[0036] The principle behind matching different ultrasonic parameters based on the comprehensive evaluation value S is as follows: when the S value is low, the membrane structure is robust, requiring low-frequency (e.g., 15-20kHz) high-intensity vibration for loosening; when the S value is medium, the membrane has softened, requiring medium-frequency (20-28kHz) vibration to achieve a balance between peeling force and range of action; when the S value is high, the membrane is nearly separated, requiring high-frequency (28-40kHz) vibration for fine, localized cleaning to avoid damaging the exposed delicate egg white. This graded matching achieves the adaptation of peeling force to membrane condition.

[0037] Optionally, in this embodiment: If S > 0.7, then adjust the ultrasonic frequency to 28-40kHz and the power density to 0.8-1.2W / cm². If 0.3≤S≤0.7, then adjust the ultrasonic frequency to 20-28kHz and the power density to 0.4-0.8W / cm². If S < 0.3, adjust the ultrasonic frequency to 15-20kHz and the power density to 0.2-0.4W / cm².

[0038] When using this method, different frequencies and powers of ultrasound are automatically matched for post-processing based on the comprehensive evaluation value S. This achieves precise grading of physical peeling force and avoids insufficient processing or physical overshoot that may be caused by a single ultrasound parameter. Specifically, in the early stage of demolding, the chemical bonds of the membrane are the main resistance, so the focus is on chemical composition evaluation; while in the middle and later stages, the loose physical structure of the membrane becomes the main contradiction and peeling indicator, so the focus is on physical structure evaluation. This ensures that the final demolding is completed in the most economical and safest way on the basis of chemical softening, thus guaranteeing the integrity and high efficiency of the egg products.

[0039] Reference Figure 1 and Figure 2 To improve reliability in production environments, one feasible solution is for the S500 to implement degradation control when the near-infrared spectral signal or ultrasonic echo signal fails. S510. Calculate the near-infrared spectral signal quality parameters and ultrasonic echo signal quality parameters. When the near-infrared spectral signal quality parameters or ultrasonic echo signal quality parameters are lower than the failure threshold for multiple consecutive cycles, trigger the failure determination. S520. Based on historical production data, establish a parameter table for conservative processes with the reading range of physical structure evaluation values ​​and chemical composition evaluation values ​​as the main index dimension. If the near-infrared spectral signal fails, the S530 will query the parameter table based on the physical structure evaluation value to perform control. S540. If the ultrasonic echo signal fails, control will be executed based on the parameter table querying the chemical composition evaluation value.

[0040] When this solution is adopted, signal quality parameters are monitored in real time and failure is determined. Once a failure is determined, the system switches to a conservative process parameter table based on historical production big data for downgrade control. Parameters that have been historically verified and can guarantee basic process effects are used, thereby effectively preventing the scrapping of the entire batch of products due to incorrect decisions in high-risk conditions such as sensor module failure. This ensures the continuity and stability of production and improves reliability in the production environment.

[0041] Optionally, in this embodiment, the parameter table for the conservative process is established as follows: Thousands of sets of production data from successful demolding over the past year are collected. From these, the recorded physical structure evaluation values, chemical composition evaluation values, and their corresponding optimal process parameters (including pH, temperature, and enzyme concentration) that ensure stable demolding are extracted when both near-infrared spectral signals and ultrasonic echo signals are normal. Subsequently, the physical structure evaluation values ​​and chemical composition evaluation values ​​are divided into several continuous intervals (e.g., 0-0.1, 0.1-0.2, ..., 0.9-1.0). Using these intervals as indices, the median or mode of all successful process parameters within each interval is selected as the conservative process parameters for that interval. For example, when the physical structure evaluation value falls within the 0.1-0.3 interval, the corresponding conservative parameters might include pH 5.0 and a temperature of 45°C; when the chemical composition evaluation value falls within the 0.6-0.8 interval, the corresponding conservative parameters might include pH 6.5 and a temperature of 40°C.

[0042] This scheme does not exclusively limit the specific calculation method for near-infrared spectral signal quality parameters. One feasible scheme is: near-infrared spectral signal quality parameters Q 1 Calculated using the following formula: Q 1= k 1 f 1( SNR )+ k 2 f 2( BD )+ k 3 f 3( LR ); in SNR The signal-to-noise ratio of the characteristic absorption peak. , BD This represents the spectral baseline drift rate. , LR For data packet loss rate, , k 1 , k 2 , k 3 All are weighting coefficients. k 1 + k 2 + k 3 =1.

[0043] When this scheme is adopted, objective and quantitative judgment criteria are provided for fault diagnosis of near-infrared spectral signals by using the signal-to-noise ratio of characteristic absorption peaks, spectral baseline drift rate, and data packet loss rate.

[0044] This scheme does not exclusively limit the specific calculation method for ultrasonic echo signal quality parameters. One feasible scheme is: ultrasonic echo signal quality parameters Q 2 Calculated using the following formula: ; in EA Main echo amplitude, , AC For consistent signal attenuation, , TFS For time flight standard deviation, , m 1 , m 2 , m 3 All are weighting coefficients. m 1 + m 2 + m 3 =1.

[0045] When this scheme is adopted, objective and quantitative judgment criteria are provided for fault diagnosis of near-ultrasonic echo signals by using the main echo amplitude, signal attenuation consistency and time flight standard deviation.

[0046] Reference Figure 3 To avoid abrupt changes in control commands at the switching point, one feasible solution is to perform a smooth switch once the near-infrared spectral signal or ultrasonic echo signal is recovered. S550: When the quality parameters of the near-infrared spectral signal and the ultrasonic echo signal are both higher than the recovery threshold and continue for several cycles, the switching process is initiated. S560, During the predetermined transition time, control command = λ ×Control commands calculated based on chemical composition assessment values ​​and physical structure assessment values ​​+ (1- λ The query results for the parameter table include: λ It is a transition factor that gradually increases from 0 to 1.

[0047] This approach allows for a smooth transition from degraded control to normal coupling regulation, preventing the impact of drastic fluctuations in process parameters on the demolding process and ensuring the stability of product quality during the sensor module recovery period. This design demonstrates the system's high level of intelligence and engineering practicality.

[0048] Calculate the overall demulsification status assessment value S, including a weight adjustment strategy based on the processing stage: When processing time t Total process time T ratio t / T When ≤0.3, the weight of the chemical composition evaluation value α Not less than 0.5; When 0.3 < t / T When ≤0.7, the weight of the physical structure evaluation value β Not less than 0.4; when t / T When >0.7, the weight of the physical structure evaluation value β Not less than 0.5.

[0049] This approach effectively overcomes the shortcomings of fixed-weight calculation, such as its lack of specificity and inaccurate state assessment throughout the process, thereby significantly improving the accuracy of the comprehensive state assessment value S and the precision of process control.

[0050] The working principle of this embodiment: The sensor module synchronously collects data on the chemical composition and physical structure of the eggshell membrane. The processing module calculates a comprehensive evaluation value S, which is then used to reverse-couple and regulate the pH, temperature, and enzyme concentration of the treatment solution: when acceleration is needed, the pH is lowered and the temperature is raised; when deceleration is needed, the pH is raised and the temperature is lowered. Subsequently, based on the S value, ultrasonic waves of different frequencies and powers are automatically matched for post-processing, achieving precise coordination between chemical softening and physical peeling. If the sensor module fails during the process, the system automatically switches to degraded control based on a parameter table generated from historical processes, and smoothly transitions back to the normal coupled regulation mode when the signal recovers. This achieves adaptive dynamic optimization of the demolding process throughout the entire process, ensuring demolding efficiency and egg integrity. After demolding, the eggs are rinsed and pasteurized to wash away or inactivate any residual enzymes.

[0051] Example 2: Reference Figure 4 An adaptive soft-boiled egg demolding system for performing the above-mentioned demolding method includes: The sensing module 100 is used to acquire the near-infrared spectral signal and ultrasonic echo signal of the eggshell membrane; Processing module 200 is used to calculate the comprehensive evaluation value S based on near-infrared spectral signals and ultrasonic echo signals; The adjustment module 300 is used to couple and adjust the pH, temperature and enzyme concentration of the treatment solution based on the comprehensive evaluation value S, wherein the pH and temperature are adjusted in opposite directions.

[0052] In this scheme, the sensing module 100 ensures that the eggshell membrane state information is collected with high fidelity and synchronously; the processing module 200 provides a dedicated computing environment for this complex algorithm, ensuring low latency and high reliability from data to decision; and the adjustment module 300 acts as the execution terminal, ensuring that the control commands generated based on the comprehensive evaluation value S can be accurately and quickly converted into physical adjustments to the processing liquid parameters. This ensures that the demolding process can operate with high repeatability and stability, thereby continuously achieving the technical effect of improving demolding efficiency and product quality consistency in industrial production.

[0053] This solution does not exclusively limit the specific structure of the adjustment module. One feasible solution is that the adjustment module 300 includes: Parallel metering pump sets used to adjust the pH value of the treatment solution; Plate heat exchangers used for precise control of the temperature of the processing fluid; And a broadband ultrasonic generator for performing physical post-processing.

[0054] When this scheme is adopted, the parallel metering pump set avoids process interruption caused by the failure of a single pump through redundancy design, and realizes the addition of pH adjustment liquid with small flow rate and high precision, overcoming the step and delay problems of traditional single pump adjustment; the plate heat exchanger achieves rapid and stable control of the temperature of the treatment liquid with its high heat transfer efficiency, ensuring the optimal and constant temperature environment required for enzymatic reaction; the wideband ultrasonic generator can flexibly adjust the ultrasonic treatment program within the preset range, which can cover the process requirements from low frequency loosening to high frequency peeling.

[0055] To address the issues of low demolding efficiency and unstable product quality caused by a lack of dynamic adjustment capabilities, this solution utilizes near-infrared spectroscopy and ultrasonic echoes to capture the dynamic changes of the eggshell membrane in real time and comprehensively from two key dimensions: chemical composition and physical structure. The comprehensive evaluation value S provides a more precise quantitative basis for process adjustment. Coupled adjustment enables more accurate control of the demolding process, avoiding membrane residue or egg damage, significantly improving the success rate of one-time demolding and the consistency of product quality, thus solving the problems of low demolding efficiency and unstable product quality caused by a lack of dynamic adjustment capabilities.

[0056] To ensure the integrity and efficiency of egg products, this solution automatically matches and executes ultrasonic treatment programs of different frequencies and powers based on comprehensive evaluation values. This achieves precise grading of physical peeling force, avoiding insufficient processing or physical overshoot that may be caused by a single ultrasonic parameter. It ensures that the final demolding is completed in the most economical and safest way on the basis of chemical softening, thus guaranteeing the integrity and efficiency of egg products.

[0057] To improve reliability in the production environment, this solution monitors signal quality parameters in real time and determines failures. Once a failure is determined, it switches to a conservative process parameter table built based on historical production big data for degraded control. It adopts parameters that have been historically verified and can guarantee the basic process effect, thereby effectively preventing the scrapping of the entire batch of products due to incorrect decisions in high-risk conditions such as sensor module failure. This ensures the continuity and stability of production and improves reliability in the production environment.

[0058] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An adaptive method for removing soft-boiled eggs from their membranes, characterized in that, include: The near-infrared spectral signal and ultrasonic echo signal of the eggshell membrane are acquired through the sensing module. Based on the near-infrared spectral signal, a chemical composition assessment value reflecting changes in the membrane's chemical composition is calculated; based on the ultrasonic echo signal, a physical structure assessment value reflecting changes in the membrane's physical structure is calculated. Calculate the comprehensive decoction status assessment value S based on the chemical composition assessment value and the physical structure assessment value; Based on the comprehensive evaluation value S, the pH value, temperature and enzyme concentration of the treatment solution are coupled and regulated. The coupled regulation includes: if it is necessary to accelerate the decoction process, the pH value is decreased while the temperature is increased; if it is necessary to slow down the decoction process, the pH value is increased while the temperature is decreased.

2. The adaptive soft-boiled egg demolding method according to claim 1, characterized in that, Following the coupling adjustment, ultrasonic post-processing is performed: Based on the magnitude of the comprehensive evaluation value S, ultrasonic processing programs with different frequencies and powers are automatically matched and executed, wherein the frequency range of the ultrasonic processing programs is between 15-40kHz and the power density range is between 0.2-1.2W / cm².

3. The adaptive soft-boiled egg demolding method according to claim 1, characterized in that, When the near-infrared spectral signal or ultrasonic echo signal fails, degradation control is implemented: Calculate the near-infrared signal quality parameters and the ultrasonic echo signal quality parameters. When the near-infrared spectral signal quality parameters or the ultrasonic echo signal quality parameters are lower than the failure threshold for multiple consecutive cycles, a failure determination is triggered. Based on historical production data, a parameter table for conservative processes is established with the reading range of physical structure evaluation values ​​and chemical composition evaluation values ​​as the main index dimension. If the near-infrared spectral signal fails, control is executed by querying the parameter table based on the physical structure evaluation value; If the ultrasonic echo signal fails, control is executed by querying the parameter table based on the chemical composition evaluation value.

4. The adaptive soft-boiled egg demolding method according to claim 3, characterized in that, Near-infrared spectral signal quality parameters Q 1 Calculated using the following formula: Q 1= k 1 f 1( SNR )+ k 2 f 2( BD )+ k 3 f 3( LR )； in SNR The signal-to-noise ratio of the characteristic absorption peak. , BD This represents the spectral baseline drift rate. , LR For data packet loss rate, , k 1 , k 2 , k 3 All are weighting coefficients. k 1 + k 2 + k 3 =1.

5. The adaptive soft-boiled egg demolding method according to claim 3, characterized in that, Ultrasonic echo signal quality parameters Q 2 Calculated using the following formula: ； in EA Main echo amplitude, , AC For consistent signal attenuation, , TFS For time flight standard deviation, , m 1 , m 2 , m 3 All are weighting coefficients. m 1 + m 2 + m 3 =1.

6. The adaptive soft-boiled egg demolding method according to claim 3, characterized in that, Once the near-infrared spectral signal or ultrasonic echo signal is recovered, a smooth switching is performed: When both the near-infrared spectral signal quality parameter and the ultrasonic echo signal quality parameter are higher than the recovery threshold and remain higher for several cycles, the switching process is initiated. During the predetermined transition period, the control command = λ ×Control command calculated based on the chemical composition evaluation value and physical structure evaluation value + (1- λ The query results for the parameter table include: λ It is a transition factor that gradually increases from 0 to 1.

7. The adaptive soft-boiled egg demolding method according to claim 1, characterized in that, The calculation of the comprehensive demulsification status assessment value S includes a weight adjustment strategy based on the processing stage: When processing time t Total process time T ratio t / T When the value is ≤0.3, the weight of the chemical composition evaluation value shall not be less than 0.5; When 0.3 < t / T When the value is ≤0.7, the weight of the physical structure evaluation value shall not be less than 0.4; when t / T When the value is greater than 0.7, the weight of the physical structure evaluation value shall not be less than 0.

5.

8. An adaptive soft-boiled egg demolding system for performing the demolding method as described in any one of claims 1-7, characterized in that, include: The sensing module is used to acquire the near-infrared spectral signal and ultrasonic echo signal of the eggshell membrane; The processing module is used to calculate the comprehensive evaluation value S based on the near-infrared spectral signal and the ultrasonic echo signal; The adjustment module is used to couple and adjust the pH value, temperature and enzyme concentration of the treatment solution based on the comprehensive evaluation value S, wherein the pH value and temperature are adjusted in opposite directions.

9. An adaptive soft-boiled egg demolding system according to claim 8, characterized in that, The adjustment module includes: Parallel metering pump sets used to adjust the pH of the treatment solution; Plate heat exchangers used for precise control of the temperature of the processing fluid; And a broadband ultrasonic generator for performing physical post-processing.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it performs the demolding method as described in any one of claims 1-7.

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