Automatic intelligent cleaning and sterile treatment system and process for eggs

Abstract

The invention discloses an automatic intelligent cleaning and sterile treatment system and process for eggs, and relates to the technical field of automatic cleaning, the system comprises a conveying module, an intelligent detection module, a self-adaptive cleaning module, a drying sterilization module, an intelligent control module and a waste recovery module, and multi-module cooperation is achieved through a PLC. A self-adaptive clamping mechanism of the conveying module adapts to eggs of different specifications, and an intelligent detection module identifies 1-5 levels of smudginess types and eggshell integrity based on a deep learning algorithm, and automatically removes broken eggs; the self-adaptive cleaning module dynamically adjusts parameters according to a detection result to realize targeted spraying and scrubbing; and the drying and sterilizing module adopts linkage of 40-60 DEG C hot air circulation drying and ultraviolet / ozone low-temperature sterilization. After being treated, the wastewater reaches the standard to be discharged or recycled, and efficient, lossless and environment-friendly egg cleaning treatment is achieved.

Description

Technical Field

[0001] This invention relates to the field of automated cleaning technology, and in particular to an automated intelligent cleaning and sterilization system and process for eggs. Background Technology

[0002] With the development of large-scale farming and food processing industries, the demand for automated, intelligent, and aseptic egg cleaning is increasing. Traditional egg cleaning methods mainly rely on manual operation, which is inefficient and produces inconsistent cleaning results. Furthermore, traditional mechanical cleaning methods can damage eggshells and leave detergent residues, failing to meet the hygiene and safety requirements of modern food processing. Therefore, developing an efficient, safe, and intelligent egg cleaning and aseptic processing system is of great significance for improving egg processing quality and meeting market demands.

[0003] Current solutions: Currently, egg cleaning mainly relies on manual washing or simple mechanical washing methods. Manual washing is inefficient and struggles to guarantee consistent cleanliness; while mechanical washing can damage eggshells and leave detergent residue. Furthermore, existing equipment lacks real-time detection and feedback mechanisms for the degree of dirtiness in eggs, cannot adapt to eggs of different sizes, and post-cleaning drying and sterilization are incomplete, easily leading to secondary contamination.

[0004] Existing technical problems: Although current egg cleaning technologies have achieved a degree of automation, several problems and shortcomings remain. First, existing cleaning equipment cannot target different levels of dirtiness in eggs, resulting in unsatisfactory cleaning effects. Second, existing equipment lacks a real-time detection and feedback mechanism, making it unable to effectively identify and remove broken or heavily contaminated eggs. Furthermore, the drying and sterilization process in existing equipment is incomplete, failing to ensure aseptic processing of the eggs. These problems limit the further development and application of egg cleaning technology.

[0005] Therefore, developing an egg cleaning and sterilization system that integrates automation, intelligence, and sterilization is of great practical significance and application value for improving egg processing efficiency and safety. Summary of the Invention

[0006] The present invention aims to at least partially solve one of the technical problems in the above-mentioned technologies.

[0007] To achieve the above objectives, the first aspect of this invention proposes an automated intelligent cleaning and aseptic processing system and process for eggs, wherein: An automated intelligent cleaning and sterilization system for eggs includes a conveying module, an intelligent detection module, an adaptive cleaning module, a drying and sterilization module, an intelligent control module, and a waste recycling module. Each module interacts and operates collaboratively through the intelligent control module. The conveying module includes an adaptive clamping mechanism that automatically adjusts the clamping force and position according to the size and shape of the eggs. The conveyor belt transports eggs at a speed of 0.5-1.5 meters per minute. The intelligent detection module consists of an image acquisition unit, a dirt identification sensor, and an eggshell integrity detection component. The image acquisition unit acquires high-definition images of the eggshell surface using a high-definition camera and a ring light, identifies the type of dirt and the level of contamination (1-5 levels) based on a deep learning algorithm, and uses infrared or pressure sensors to detect and automatically remove broken eggs. The adaptive cleaning module includes… The system includes a high-pressure spray unit with adjustable water pressure (0.3-1.2MPa) and water temperature (30-50℃), a flexible brushing component with adjustable bristle spacing and rotation speed, and a mixing system for precisely dispensing food-grade detergent at a concentration of 0.1%-0.5%, supporting both water and detergent switching modes. The drying and sterilization module combines hot air circulation drying at 40-60℃ for 30-60 seconds with low-temperature sterilization using ultraviolet / ozone. The intelligent control module, centered on a PLC controller, integrates data processing, command issuance, and parameter storage functions, supporting manual / automatic mode switching. A touchscreen displays cleaning progress, dirt level, and equipment status, and supports parameter customization. The waste recycling module utilizes a wastewater collection tank, filtration system, and disinfection device to achieve wastewater filtration, disinfection, and compliant discharge or recycling.

[0008] As an improvement, the adaptive clamping mechanism can dynamically adapt to eggs of different sizes, ensuring that the eggs do not shake or get damaged during the conveying process, and achieves continuous feeding and detection in conjunction with the uniform conveying speed of the conveyor belt.

[0009] As an improvement, the deep learning algorithm of the intelligent detection module can accurately identify various types of dirt such as mud, egg liquid, and feathers. The eggshell integrity detection component operates synchronously with the dirt identification function, realizing comprehensive detection and screening of egg quality.

[0010] As an improvement, the high-pressure spray unit of the adaptive cleaning module is equipped with multi-angle spray heads, and the flexible brushing component uses silicone brushes or soft brushes. Through the dirt level signal output by the intelligent detection module, the water pressure, water temperature, brush spacing, rotation speed and detergent concentration are dynamically adjusted to achieve targeted spraying and brushing cleaning.

[0011] As an improvement, the hot air circulation drying and ultraviolet / ozone low-temperature sterilization of the drying and sterilization module are synchronized. The drying temperature and time can be dynamically adjusted according to the humidity of the eggs after cleaning. The low-temperature sterilization process avoids cracks in the eggshell due to sudden temperature changes.

[0012] As an improvement, the intelligent control module constructs a linkage logic of detection module output signal → controller analysis → adjustment of cleaning module parameters → synchronous start of drying and sterilization module, realizing full closed-loop intelligent control of the cleaning process.

[0013] An automated intelligent cleaning and aseptic processing technology for eggs, characterized by comprising the following steps: Step 1: Feeding. Eggs are arranged in an orderly manner by the adaptive clamping mechanism of the conveying module and conveyed to the detection area at a speed of 0.5-1.5 meters per minute. Step 2: Intelligent detection. Data is collected through the image acquisition unit and sensing components. The deep learning algorithm identifies the level of dirt and the integrity of the eggshell, and broken eggs are automatically rejected. Step 3: Adaptive cleaning. Based on the test results, adjust the water pressure, water temperature, brush parameters, and cleaning agent concentration to achieve targeted cleaning through the combined action of high-pressure spraying and gentle brushing. Step 4: Rinse with clean water spray to remove residual detergent. The water pressure and temperature of the spray are independently adjustable. Step 5: Drying and sterilization, followed by hot air drying at 40-60℃ for 30-60 seconds and low-temperature sterilization with ultraviolet / ozone. Step 6: Re-inspection and feeding. A second inspection is conducted to check the cleaning effect. Qualified eggs are transported to the next process, while unqualified eggs are returned for re-washing or rejected. Step 7: Waste treatment. Cleaning wastewater is filtered and disinfected before being discharged in compliance with standards or recycled for initial washing.

[0014] As an improvement, the adaptive cleaning parameter adjustment in step 3 is linked in real time with the detection results in step 2. The higher the level of dirt, the higher the water pressure, detergent concentration and scrubbing speed, and it is always controlled within the threshold range to avoid damage to the eggshell.

[0015] As an improvement, the re-inspection process in step 6 adopts the same testing standards as in step 2 to ensure that the cleaned eggs have a dirt level of ≤1 and that the eggshells are intact and sterile, forming a closed-loop quality control system of "testing-cleaning-re-inspection".

[0016] Beneficial effects Improved cleaning efficiency and uniformity: Through an adaptive clamping mechanism and intelligent detection module, this technical solution can adapt to eggs of different sizes and shapes, achieving stable and continuous delivery and real-time acquisition of egg surface information, thereby improving cleaning efficiency and uniformity of cleanliness.

[0017] Reduce eggshell damage and detergent residue: The adaptive cleaning module can adjust parameters according to the level of dirt, and uses a flexible brush component and a precise detergent mixing system to effectively avoid eggshell damage and detergent residue.

[0018] Thorough drying and sterilization after cleaning: The drying and sterilization module uses hot air circulation drying combined with ultraviolet / ozone low-temperature sterilization technology to prevent eggshell cracking while ensuring that the eggshell is dry and sterile, reducing the risk of secondary contamination.

[0019] Enhance automation and intelligence: The intelligent control module connects to each module through a PLC controller to achieve data interaction and command execution, supports manual / automatic mode switching, and improves the automation and intelligence of the entire cleaning process.

[0020] Enhanced adaptability and flexibility: This technical solution can be tailored to the degree of dirtiness and shell integrity of eggs, adapting to the cleaning needs of eggs of different sizes, and has strong adaptability and flexibility.

[0021] Achieving effective waste recycling and treatment: The waste recycling module collects cleaning wastewater and impurities, which are then filtered and discharged in compliance with standards or recycled, reducing environmental pollution and improving resource utilization. Raising industry standards: This technical solution meets the automation, intelligence, and aseptic requirements for egg cleaning in large-scale farming and food processing, helping to improve the overall cleanliness standards and food safety levels of the industry. Attached Figure Description

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a system connection diagram of an automated intelligent cleaning and aseptic processing system and process for eggs according to an embodiment of the present invention; Figure 2 This is a system flow diagram of an automated intelligent cleaning and aseptic processing system and process for eggs according to an embodiment of the present invention. Detailed Implementation

[0023] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0024] The following description, in conjunction with the accompanying drawings, describes an automated intelligent cleaning and sterilization system and process for eggs according to an embodiment of the present invention.

[0025] like Figure 1-2 As shown, an automated intelligent cleaning and sterilization system for eggs is characterized by comprising a conveying module, an intelligent detection module, an adaptive cleaning module, a drying and sterilization module, an intelligent control module, and a waste recycling module. Each module achieves data interaction and collaborative operation through the intelligent control module. The conveying module includes an adaptive clamping mechanism, which uses elastic clamping components of models JC-200A / JC-300B / JC-400C (suitable for small free-range eggs, medium-sized commercial eggs, and large goose / ostrich eggs, respectively). The clamping components are made of food-grade silicone (Shore hardness 35-45°). The clamping force (0.1-0.5MPa) and clamping distance (2-5cm) are automatically adjusted by the PLC controller based on the feedback signal from the pressure sensor of model SG-150. The conveyor belt uses food-grade PU conveyor belts of models SD-500 / SD-800 / SD-1200 (widths of 500mm, 800mm, and 1200mm, respectively). The drive motor is a variable frequency speed control motor of model YVF2-1.5 / 2.2 / 3.0, which supports stepless speed regulation of 0.5-1.5 meters per minute for conveying eggs. The intelligent detection module consists of an image acquisition unit, a dirt identification sensor, and an eggshell integrity detection component. The image acquisition unit uses a high-definition camera (4K / 8K resolution) of model IMX586 / IMX686, paired with a ring light of model RL-600 (color temperature 5500K, brightness adjustable from 1000-3000 lux). The dirt identification sensor uses an infrared spectral sensor of model ZW-200. The eggshell integrity detection component uses a pressure sensing module of model YL-300 or an infrared flaw detection sensor of model HW-400. Based on the ResNet-50 / YOLOv8 deep learning algorithm, it identifies the types of dirt such as mud, egg liquid, and feathers, and the level of contamination from 1 to 5. The sensor component checks and automatically removes broken eggs. The adaptive cleaning module includes a high-pressure spray unit (PL-800 / PL-1200, corresponding to single-channel / dual-channel cleaning), with adjustable water pressure from 0.3-1.2MPa, and a water temperature controller (WS-50, temperature control accuracy ±1℃), supporting water temperature adjustment from 30-50℃. The flexible brushing component uses an adjustable brush roller (XS-300 / XL-500, bristle length 20-40mm), with bristle spacing (5-15mm) and rotation speed (50-300r / min) adjusted by a stepper motor (SD-200). The bristles are made of food-grade silicone (SG-20) or soft bristles (RM-30). The mixing system uses an automatic mixing pump (PP-400) to accurately mix 0.1%-0.5% concentration of food-grade detergent (compatible with QJ-100 neutral detergent and QJ-200...). Alkaline degreasing cleaner), supports water / cleaner switch mode, the switch valve uses a KV-30 three-way solenoid valve; The drying and sterilization module uses a hot air circulation drying device of model HG-600 / HG-1000 (air volume 300-800m³ / h). 3 The system achieves hot air drying at 40-60℃ for 30-60 seconds, using a UV-200 ultraviolet germicidal lamp (wavelength 254nm, power 30-60W) or an OZ-300 ozone generator (ozone output 5-15g / h). It adopts a combination of ultraviolet / ozone low-temperature sterilization, with the sterilization components installed at a spacing of 15-30cm. The intelligent control module is based on a PLC controller of model S7-1200 / S7-1500, and integrates a data processing module of model DP-500, an instruction issuing module of model CZ-300, and a parameter storage module of model ST-600 (storage capacity ≥8GB). It supports manual / automatic mode switching, and is equipped with a 10-inch touch screen of model TP-100, which can display cleaning progress, dirt level and equipment status and supports parameter customization. The communication interface adopts Modbus-RTU or EtherNet / IP protocol. The waste recycling module uses a wastewater collection tank (model SC-800, volume 80-200L), a three-stage filtration system (model GL-500, filtration accuracy 5-50μm), and an ultraviolet disinfection device (model XD-400, disinfection power 40-80W) to achieve wastewater filtration, disinfection, and compliant discharge or recycling.

[0026] It should be noted that the JC-200A / JC-300B / JC-400C elastic clamping components of the adaptive clamping mechanism are adapted to eggs of different specifications with short diameters of 30-40mm, 40-50mm, and 50-70mm, respectively. The clamping pressure is fed back in real time by an SG-150 pressure sensor, and the clamping force and spacing are dynamically adjusted to ensure that the eggs do not shake or get damaged during the conveying process. In conjunction with the uniform conveying of SD-500 / SD-800 / SD-1200 type conveyor belts, continuous feeding and detection are achieved, with conveying efficiencies of 1000 eggs / hour, 2000 eggs / hour, and 3000 eggs / hour, respectively.

[0027] It should be noted that the ResNet-50 / YOLOv8 deep learning algorithm of the intelligent detection module can accurately identify various types of dirt such as mud, egg liquid, feathers, and dust, with an accuracy rate of ≥98%. The YL-300 pressure sensing module or HW-400 infrared flaw detector of the eggshell integrity detection component operates synchronously with the dirt identification function, with a detection response time of ≤0.5 seconds, realizing comprehensive detection and screening of egg quality, and a broken egg rejection rate of ≥99%.

[0028] It should be noted that the PL-800 / PL-1200 high-pressure spray unit of the adaptive cleaning module is equipped with a 360° rotating multi-angle spray head (model PT-15, orifice diameter 0.8-1.5mm). The flexible brushing component adopts SG-20 type silicone brush or RM-30 type soft brush. Through the dirt level signal output by the intelligent detection module, the PLC controller dynamically adjusts the water pressure (0.3-1.2MPa), water temperature (30-50℃), brush bristle spacing (5-15mm), rotation speed (50-300r / min), and detergent concentration (0.1%-0.5%) to achieve targeted spraying + brushing cleaning. The cleaning efficiency corresponds to 800 pieces / hour for single channel and 1500 pieces / hour for dual channel.

[0029] It should be noted that the HG-600 / HG-1000 hot air circulating drying device of the drying and sterilization module is synchronously linked with the UV-200 ultraviolet germicidal lamp / OZ-300 ozone generator. The drying temperature is monitored in real time by a WT-200 temperature sensor and can be dynamically adjusted according to the humidity of the eggs after cleaning (adjustment accuracy ±2℃). During the low-temperature sterilization process, the surface temperature of the eggshell is controlled at 30-45℃ to avoid cracks caused by sudden temperature changes. The sterilization rate is ≥99.9%.

[0030] It should be noted that the S7-1200 / S7-1500 PLC controller of the intelligent control module constructs a linkage logic of detection module output signal → controller analysis → adjustment of cleaning module parameters → synchronous start of drying and sterilization module. The linkage response time is ≤1 second. Data interaction between modules is realized through Modbus-RTU or EtherNet / IP protocol to achieve full closed-loop intelligent control of the cleaning process. The equipment failure rate is ≤0.5% / 1000 hours.

[0031] An automated intelligent cleaning and aseptic processing technology for eggs includes the following steps: Step 1: Feeding. Eggs are arranged in an orderly manner by the JC-200A / JC-300B / JC-400C adaptive clamping mechanism of the conveying module. They are then transported to the inspection area at a speed of 0.5-1.5 meters per minute by the SD-500 / SD-800 / SD-1200 conveyor belt driven by the YVF2-1.5 / 2.2 / 3.0 variable frequency speed control motor. The feeding qualification rate is ≥99.5%. Step 2: Intelligent detection. Data is collected using an IMX586 / IMX686 high-definition camera, an RL-600 ring light, a ZW-200 dirt detection sensor, and a YL-300 / HW-400 eggshell integrity detection component. The dirt level and eggshell integrity are identified using a ResNet-50 / YOLOv8 deep learning algorithm. The identification time is ≤0.3 seconds per egg. Damaged eggs are automatically removed by a TC-100 rejection device. Step 3: Adaptive cleaning. Based on the detection results, the PLC controller adjusts the water pressure of the PL-800 / PL-1200 high-pressure spray unit (0.3-1.2MPa), the water temperature of the WS-50 water temperature controller (30-50℃), the brush parameters of the XS-300 / XL-500 brush roller (pitch 5-15mm, speed 50-300r / min), and the cleaning agent concentration of the PP-400 proportioning pump (0.1%-0.5%). Targeted cleaning is achieved through the coordinated action of high-pressure spraying and gentle brushing, with a cleaning time of 10-30 seconds per piece. Step 4: Rinse. Use clean water spray to remove residual detergent. The spray unit uses a low-pressure spray head of model PL-500, with water pressure of 0.2-0.5MPa and water temperature of 25-40℃ that are independently adjustable. The rinsing time is 5-10 seconds per piece. Step 5: Drying and sterilization. Use HG-600 / HG-1000 hot air circulating drying device to dry at 40-60℃ for 30-60 seconds. Simultaneously start UV-200 ultraviolet germicidal lamp or OZ-300 ozone generator for low-temperature sterilization. Sterilization time is 15-30 seconds per piece. Step 6: Re-inspection and unloading. The same testing equipment and ResNet-50 / YOLOv8 algorithm as in Step 2 are used to perform a second inspection of the cleaning effect. Qualified eggs are conveyed to the next process through the conveyor module, and unqualified eggs are re-washed by the HX-200 reflux device or rejected by the TC-100 rejection device. The re-inspection pass rate is ≥99.8%. Step 7: Waste treatment. After the cleaning wastewater is collected in the SC-800 type wastewater collection tank, it is filtered by the GL-500 type three-stage filtration system and disinfected by the XD-400 type ultraviolet disinfection device. The chemical oxygen demand (COD) of the treated wastewater is ≤50mg / L, which can meet the discharge standards or be recycled for initial washing.

[0032] It should be noted that the parameter adjustment for adaptive cleaning in step 3 is linked in real time with the detection results in step 2, with a linkage delay of ≤0.5 seconds. For dirt level 1, the water pressure is 0.3-0.5MPa, the detergent concentration is 0.1%-0.2%, and the brushing speed is 50-100r / min; for dirt level 2-3, the water pressure is 0.5-0.8MPa, the detergent concentration is 0.2%-0.3%, and the brushing speed is 100-200r / min; for dirt level 4-5, the water pressure is 0.8-1.2MPa, the detergent concentration is 0.3%-0.5%, and the brushing speed is 200-300r / min. All parameters are always controlled within the threshold range to avoid eggshell damage, and the eggshell breakage rate after cleaning is ≤0.1%.

[0033] It should be noted that the re-inspection process in step 6 adopts the same testing standards as step 2, namely, using the ResNet-50 / YOLOv8 algorithm to identify dirt level ≤1, and using the YL-300 / HW-400 detection component to confirm the eggshell is intact and the UV-200 / OZ-300 sterilization component to confirm sterility (total bacterial count ≤10CFU / g), ensuring that the cleaned eggs meet food-grade safety standards, forming a closed-loop quality control system of "testing-cleaning-re-inspection".

[0034] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0035] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," 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 this application. In this specification, the 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. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0036] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. An automated intelligent cleaning and aseptic processing system for eggs, characterized in that, The system includes a conveying module, an intelligent detection module, an adaptive cleaning module, a drying and sterilization module, an intelligent control module, and a waste recycling module. Each module interacts and operates collaboratively through the intelligent control module. The conveying module includes an adaptive clamping mechanism that automatically adjusts the clamping force and position according to the size and shape of the eggs. The conveyor belt transports eggs at a speed of 0.5-1.5 meters per minute. The intelligent detection module consists of an image acquisition unit, a dirt identification sensor, and an eggshell integrity detection component. The image acquisition unit acquires high-definition images of the eggshell surface using a high-definition camera and a ring light, identifies the type of dirt and the level of contamination (1-5 levels) based on a deep learning algorithm, and uses infrared or pressure sensors to detect and automatically remove broken eggs. The adaptive cleaning module includes an adjustable water pressure of 0.3-1... The system includes a high-pressure spray unit with a pressure of 0.2 MPa and a water temperature of 30-50℃, a flexible brushing component that allows adjustment of bristle spacing and rotation speed, and a mixing system for precisely dispensing food-grade detergent at a concentration of 0.1%-0.5%, supporting both water and detergent switching modes. The drying and sterilization module combines hot air circulation drying at 40-60℃ for 30-60 seconds with low-temperature sterilization using ultraviolet / ozone. The intelligent control module, centered on a PLC controller, integrates data processing, command issuance, and parameter storage functions, supporting manual / automatic mode switching. A touchscreen displays cleaning progress, dirt level, and equipment status, and supports parameter customization. The waste recycling module utilizes a wastewater collection tank, filtration system, and disinfection device to achieve wastewater filtration, disinfection, and compliant discharge or recycling.

2. The automated intelligent cleaning and aseptic processing system for eggs according to claim 1, characterized in that, The adaptive clamping mechanism can dynamically adapt to eggs of different sizes, ensuring that the eggs do not shake or get damaged during the conveying process, and achieves continuous feeding and detection in conjunction with the uniform conveyor belt.

3. The automated intelligent cleaning and aseptic processing system for eggs according to claim 1, characterized in that, The deep learning algorithm of the intelligent detection module can accurately identify various types of dirt such as mud, egg liquid, and feathers. The eggshell integrity detection component operates synchronously with the dirt identification function, realizing comprehensive detection and screening of egg quality.

4. The automated intelligent cleaning and aseptic processing system for eggs according to claim 1, characterized in that, The adaptive cleaning module's high-pressure spray unit is equipped with multi-angle spray heads, and the flexible brushing component uses silicone brushes or soft brushes. Through the dirt level signal output by the intelligent detection module, the water pressure, water temperature, brush bristle spacing, rotation speed, and detergent concentration are dynamically adjusted to achieve targeted spraying and brushing cleaning.

5. The automated intelligent cleaning and aseptic processing system for eggs according to claim 1, characterized in that, The hot air circulation drying and ultraviolet / ozone low-temperature sterilization of the drying and sterilization module are synchronized. The drying temperature and time can be dynamically adjusted according to the humidity of the eggs after cleaning. The low-temperature sterilization process avoids cracks in the eggshell due to sudden temperature changes.

6. An automated intelligent cleaning and aseptic processing technology for eggs based on the system described in any one of claims 1-5, characterized in that, Includes the following steps: Step 1: Feeding. Eggs are arranged in an orderly manner by the adaptive clamping mechanism of the conveying module and conveyed to the detection area at a speed of 0.5-1.5 meters per minute. Step 2: Intelligent detection. Data is collected through the image acquisition unit and sensing components. The deep learning algorithm identifies the level of dirt and the integrity of the eggshell, and broken eggs are automatically rejected. Step 3: Adaptive cleaning. Based on the test results, adjust the water pressure, water temperature, brush parameters, and cleaning agent concentration to achieve targeted cleaning through the combined action of high-pressure spraying and gentle brushing. Step 4: Rinse with clean water spray to remove residual detergent. The water pressure and temperature of the spray are independently adjustable. Step 5: Drying and sterilization, followed by hot air drying at 40-60℃ for 30-60 seconds and low-temperature sterilization with ultraviolet / ozone. Step 6: Re-inspection and feeding. A second inspection of the cleaning effect is conducted. Qualified eggs are transported to the next process, while unqualified eggs are returned for re-washing or rejected. Step 7: Waste treatment. Cleaning wastewater is filtered and disinfected before being discharged in compliance with standards or recycled for initial washing.

7. The automated intelligent cleaning and aseptic processing technology for eggs according to claim 6, characterized in that, In step 3, the adaptive cleaning parameter adjustment is linked in real time with the detection results of step 2. The higher the level of dirt, the higher the water pressure, detergent concentration and scrubbing speed, and it is always controlled within the threshold range to avoid damage to the eggshell.

8. The automated intelligent cleaning and aseptic processing technology for eggs according to claim 6, characterized in that, The re-inspection process in step 6 uses the same testing standards as in step 2 to ensure that the cleaned eggs have a dirt level of ≤1 and that the eggshells are intact and sterile.

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