Special meal beverage blending system based on laser calibration and intelligent batching

Abstract

The invention discloses a special meal beverage blending system based on laser calibration and intelligent batching, which comprises a raw material identification and mistake proofing module, an intelligent batching module, a dynamic sensing module, a laser calibration module and the like, and aims to solve the problems of inaccurate length control, wrong raw material use, production adjustment lag and the like in the existing production process. And high precision, intelligence and traceability of the blending and production process of the medicinal and edible special meal drink are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of the production of special dietary drinks with both medicine and food homology, and particularly relates to a special dietary drink preparation system based on laser calibration and intelligent batching. Background Art

[0002] The production of special dietary drinks with both medicine and food homology involves multiple links such as batching, raw material management, and packaging. In the prior art, traditional batching systems usually use electronic scales or flow meters for raw material metering and complete mixing through mechanical stirring. Some technologies such as Patent CN 112642352 A propose to accurately meter raw materials through a flow meter and a gas pipe system to avoid liquid residue; Patent CN 115845709 A improves the oil agent preparation efficiency through a heating coil and a stirrer. In terms of raw material management, many systems rely on barcodes or simple labels to identify raw material information, and Patent CN 201220018322.5 proposes to use two-dimensional barcodes and radio frequency technologies to achieve raw material traceability management. For the control of strip length, the prior art mainly relies on mechanical limiters or fixed-point cutting methods, and Patent CN 201610874609.0 proposes a laser cutting-based solution to adjust the cutting length through beam profile measurement. In terms of automation and intelligence, some high-end equipment integrates a PLC control system, and Patent CN 201811433936.8 optimizes the production process through data interaction between PLC controllers.

[0003] However, there are still many deficiencies in the prior art. First, in terms of batching accuracy, the traditional method has low flow control accuracy when processing multiple raw materials simultaneously, and stratification or sedimentation easily occurs during the mixing of liquids and powders, affecting the consistency of product quality. Second, in terms of raw material management, barcode technology has poor reliability, and raw materials are easily confused due to damaged labels or scanning errors, and there is a lack of automated raw material identification and error prevention functions, increasing the risk of errors. In terms of strip length control, the prior art relies on mechanical adjustment methods, which are difficult to achieve high-precision control and lack real-time calibration functions, resulting in unstable packaging consistency and appearance. Finally, in terms of automation and intelligence, the overall automation level of existing equipment is low, lacking flexibility and adaptability, and the data acquisition and management functions are weak, unable to achieve remote monitoring, data traceability, or intelligent optimization, and it is difficult to meet the requirements of efficient production and precise management. Summary of the Invention

[0004] To solve the above technical problems, the present invention proposes a special dietary drink preparation system based on laser calibration and intelligent batching to solve the problems existing in the above prior art.

[0005] To achieve the above object, in the first aspect, the present invention provides a special dietary drink preparation system based on laser calibration and intelligent batching, including:

[0006] The raw material identification and anti - error module is used to identify the raw materials of the special dietary beverage through a dual - verification mechanism and add the qualified raw materials to the feeding device;

[0007] The intelligent batching module is used to measure multiple raw materials in real - time through a high - precision electronic scale and stir - mix the measured multiple raw materials through an ultrasonic vibration rod;

[0008] The dynamic sensing module is used to detect the operating state during the production process of the special dietary beverage in real - time through multiple sensors;

[0009] The laser calibration module is used to scan the length of the roll film strip in real - time through a high - precision laser rangefinder and compare it with the preset parameters. If there is an error, it will automatically adjust the tension and cutting position of the roll film strip to achieve the consistency of the packaging appearance of the special dietary beverage;

[0010] The central processing module is used to collect the operating data of the raw material identification and anti - error module, intelligent batching module, dynamic sensing module, and laser calibration module in real - time, analyze the operating data, and send instructions to each actuator based on the analysis results.

[0011] Preferably, the raw material identification and anti - error module includes:

[0012] The label recognition unit is used to recognize the RFID label of the raw material of the special dietary beverage and obtain the label information of the raw material;

[0013] The image recognition unit is used to obtain the raw material image through a CCD camera and identify the image feature information;

[0014] The information matching unit is used to compare the label information and the image feature information with the system database respectively to ensure the consistency between the label and the physical object.

[0015] Preferably, the intelligent batching module includes:

[0016] The metering unit is used to measure multiple raw materials in real - time through a high - precision electronic scale;

[0017] The mixing unit is used to load multiple raw materials into a special mixing device according to the preset ratio of the feeding weights of different raw materials;

[0018] The stirring unit is used to set multiple stirring frequencies and stir - mix the mixed multiple raw materials through an ultrasonic vibration rod in a variable - frequency manner.

[0019] Preferably, the dynamic sensing module is provided with multiple sensors, covering the key links of the production equipment with multiple sensors, and the sensor data collected in real - time is uploaded to the cloud through a wireless network.

[0020] Preferably, the laser calibration module includes:

[0021] A scanning unit for scanning the length of the rolled film strip in real time through a high-precision laser rangefinder to obtain measurement data;

[0022] A comparison unit for comparing the measurement data with preset parameters and setting an error threshold;

[0023] An adjustment unit for automatically adjusting the tension and cutting position of the rolled film strip when the comparison result is greater than the error threshold.

[0024] Preferably, the raw material identification and error prevention module, the intelligent batching module, the dynamic sensing module, and the laser calibration module are respectively connected to the central processing module.

[0025] In a second aspect, the present invention also discloses a computer device, including a memory, a processor, and a computer program stored on the memory, and the processor executes the computer program to implement the system described in the first aspect.

[0026] In a third aspect, the present invention also discloses a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the system described in the first aspect.

[0027] In a fourth aspect, the present invention also discloses a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the system described in the first aspect.

[0028] Compared with the prior art, the present invention has the following advantages and technical effects:

[0029] The present invention provides a special dietary beverage preparation system based on laser calibration and intelligent batching, including: a raw material identification and error prevention module for identifying the raw materials of the special dietary beverage through a dual verification mechanism and adding the qualified raw materials to the feeding device; an intelligent batching module for weighing various raw materials in real time through a high-precision electronic scale and stirring and mixing the weighed various raw materials through an ultrasonic vibration rod; a dynamic sensing module for detecting the operating state during the production process of the special dietary beverage in real time through various sensors; a laser calibration module for scanning the length of the rolled film strip in real time through a high-precision laser rangefinder and comparing it with preset parameters, and automatically adjusting the tension and cutting position of the rolled film strip if there is an error to achieve the consistency of the packaging appearance of the special dietary beverage; a central processing module for collecting the operating data of the raw material identification and error prevention module, the intelligent batching module, the dynamic sensing module, and the laser calibration module in real time, analyzing the operating data, and sending instructions to each actuator based on the analysis results.

[0030] The present invention ensures accurate feeding of raw materials and enables dynamic adjustment through a high-precision electronic scale and a flow control system, thereby guaranteeing the stability of product quality and the consistency of batching. In addition, by integrating RFID tags and image recognition technology, the system establishes a unique digital identity for each raw material, and combines automatic comparison and error prevention functions to eliminate the risk of raw material confusion and ensure the accuracy and safety of the formula.

[0031] The present invention adopts a laser calibration module to perform real-time measurement and calibration on the roll film material, optimize the control of strip length, improve packaging accuracy and appearance consistency, and solve the problems brought by traditional mechanical adjustment methods. Through the Internet of Things technology, the present invention realizes intelligent management, supports remote monitoring, data recording and production traceability, greatly improves production efficiency and management level, reduces manual intervention and lowers production costs.

[0032] The present invention has good adaptability, can meet different production requirements, is suitable for multiple fields such as special dietary drinks with both medicinal and edible ingredients and packaged vermicelli, and has strong scalability and versatility. Brief Description of the Drawings

[0033] The drawings constituting a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0034] Figure 1 is a schematic diagram of the device according to an embodiment of the present invention;

[0035] Figure 2 is a schematic diagram of the working process of the raw material identification and error prevention module according to an embodiment of the present invention;

[0036] Figure 3 is a schematic diagram of the working process of the intelligent dispensing module according to an embodiment of the present invention;

[0037] Figure 4 is a schematic diagram of the working process of the neural network training according to an embodiment of the present invention;

[0038] Among them, 1, horizontal transfer working platform; 2, vermicelli packaging bag; 3, laser device, 4, dynamic sensing module, 5, CCD industrial camera, 6, raw material, 7, intelligent batching module, 8, ultrasonic vibration rod, 9, mixing device. Detailed Embodiments

[0039] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine the embodiments to detail this application.

[0040] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0041] Embodiment 1

[0042] As Figure 1 shown, this embodiment provides a special diet drink preparation device for laser calibration and intelligent batching, specifically including: a horizontal transfer working platform 1, a vermicelli packaging bag 2, a laser device 3, a dynamic sensing module 4, a CCD industrial camera 5, raw materials 6, an intelligent batching module 7, an ultrasonic vibration rod 8, and a mixing device 9;

[0043] The laser device 3 and the dynamic sensing module 4 are respectively arranged above the horizontal transfer working platform 1, and the vermicelli packaging bag 2 is placed on the tabletop of the horizontal transfer working platform 1;

[0044] The CCD industrial camera 5 and the intelligent batching module 7 are respectively arranged above the raw materials 6;

[0045] The laser device 3 is fixed on the working platform 1 through a special fixing bracket and does not contact the working platform 1. The fixing method of the dynamic sensing module 4 is similar to that of the laser device 3. The dynamic sensing module is located behind the laser device 3, as Figure 1 shown.

[0046] The fixing methods of the CCD industrial camera 5 and the intelligent batching module 7 are also similar to that of the laser device 3. Among them, both the CCD industrial camera and the intelligent batching module 7 are located above the laser device 3 and the dynamic sensing module 4, as Figure 1 shown.

[0047] Each device is equipped with a network port for communication, and the signals of each device are uniformly sent to the total control system for control through a hub.

[0048] For the special diet drink preparation device, this embodiment provides a special diet drink preparation system based on laser calibration and intelligent batching, including:

[0049] A raw material identification and error prevention module, used to identify the raw materials of the special diet drink through a dual verification mechanism and add the qualified raw materials to the feeding device;

[0050] Further, the raw material identification and error prevention module includes:

[0051] A label identification unit, used to identify the RFID label of the raw materials of the special diet drink and obtain the label information of the raw materials;

[0052] An image recognition unit, which is used to obtain raw material images through a CCD camera and identify image feature information;

[0053] An information matching unit, which is used to compare the label information and the image feature information with the system database respectively to ensure the consistency between the label and the physical object.

[0054] Specifically, in this embodiment, a dual verification mechanism is innovatively adopted in the raw material identification and error prevention module to ensure the safety and reliability of the raw materials used in the production process.

[0055] As an innovative implementation method, the label information obtained by decoding is in one-to-one correspondence with the raw material information in the system database. The label information obtained by decoding can be used to judge the attributes of the current raw material, so as to judge whether the current material meets the raw materials required for this batch of production.

[0056] The image feature information includes information such as the shape and color of the raw material; it should be noted that the image feature information is updated in real time, while the raw material information in the system database is stored in advance. The image characteristics obtained by a high-end industrial CCD camera are used to extract features through a visual image processing algorithm to judge whether the characteristics of the current raw material match the characteristics of the raw materials required for the current batch, and at the same time, it can also judge in real time whether there are some defects in the current raw material, such as holes and irregular shapes.

[0057] As an innovative implementation method, because the information of the label and the information of the system database are stored in advance and there is a certain lag in the information, the real-time image features can assist the system to quickly judge the attributes of the raw materials in real time, and at the same time, the raw material information in the system database can be updated in real time.

[0058] Specifically, each raw material tank is equipped with an RFID tag, and a unique identification code is stored in the tag to identify the identity of the raw material 6. Further, a high-end industrial CCD camera 5 is used to obtain images of the appearance of the raw material tank or packaging, and the label information is decoded and compared with the raw material information in the system database to ensure the consistency between the label and the physical object. Further, the quality of the raw material 6 is initially judged through a visual algorithm. For example, there are obvious defects (such as large holes) in the raw material 6. The visual system will automatically determine that the current raw material is a defective raw material. If it is found that the information in the database does not match the decoded information, and there are obvious defects in the raw material, the system will immediately trigger an alarm, lock the feeding device, and prevent the wrong raw material from entering the production process. An error prevention record is automatically generated and stored for subsequent review and improvement. Through this module, the problem of mixing or misplacing raw materials is eliminated, and the safety of product quality is guaranteed from the source. The schematic diagram of the specific work flow is as Figure 2 shown.

[0059] The intelligent batching module is used to measure various raw materials in real time through a high-precision electronic scale, and stir and mix the measured various raw materials through an ultrasonic vibration rod;

[0060] Furthermore, the intelligent batching module includes:

[0061] A metering unit, which is used to measure various raw materials in real time through a high-precision electronic scale;

[0062] A mixing unit, which is used to load various raw materials into a special mixing device according to the preset ratio of the feeding weights of different raw materials;

[0063] A stirring unit, which is used to set multiple stirring frequencies and perform variable-frequency stirring on the mixed various raw materials through an ultrasonic vibration rod.

[0064] Specifically, the intelligent batching module 7 realizes accurate metering of raw material feeding by equipping each raw material with an independent high-precision electronic scale. The flow rates of liquid and solid raw materials are controlled by a valve control system. The mixing process adopts high-frequency stirring or ultrasonic mixing technology and vibrates through the ultrasonic vibration rod 8 to ensure batching uniformity and batch consistency. This module effectively improves batching efficiency and accuracy.

[0065] As an innovative implementation, the intelligent batching module 7 aims to achieve accurate metering and uniform mixing of various raw materials (liquids and powders). Further, each raw material tank is equipped with an independent high-precision electronic scale for real-time monitoring of the feeding weight of the raw materials. In the mixing link, all raw materials enter the special mixing device 9, and fast and uniform mixing is achieved through the ultrasonic vibration rod 8. The frequency of the ultrasonic technology should be set according to the current product, and a unified frequency cannot be used for stirring to prevent problems such as poor taste and quality of special dietary drinks. Further, all batching and mixing data are recorded and stored in real time for convenient production traceability and batch control. This module can greatly improve production efficiency and batching accuracy and reduce the impact of human intervention on production quality.

[0066] The dynamic sensing module is used to detect the operating state in the production process of special dietary drinks in real time through various sensors;

[0067] Furthermore, in this embodiment, various sensors are innovatively arranged on the dynamic sensing module, covering key links of production equipment, and the sensor data collected in real time are uploaded to the cloud through a wireless network.

[0068] Specifically, the dynamic sensing module 4 uploads the device operation data to the cloud in real time through Internet of Things technology. Meanwhile, it is equipped with various sensors such as temperature, flow rate, and vibration to monitor the device status. When the system detects parameter abnormalities or deviations from the set values, such as too high temperature or uneven flow rate, the system automatically triggers an adjustment mechanism to correct the device operation status (for example, correcting the feeding speed or tension). When the device is detected to be abnormal, the system issues an audible and visual alarm and records the cause of the problem for the maintenance personnel to handle in a timely manner. This module ensures the stability and continuity of production and effectively reduces the risk of downtime caused by equipment failures.

[0069] In this embodiment, through various sensors and Internet of Things technology, the dynamic sensing module 4 can monitor and adjust the operation status of the production equipment in real time. It is equipped with various sensors such as temperature, flow rate, and vibration, covering the key links of the production equipment. The sensor data collected in real time is uploaded to the cloud through a wireless network for remote monitoring and historical data tracking.

[0070] The laser calibration module is used to scan the length of the rolled film strip in real time through a high-precision laser rangefinder and compare it with the preset parameters. If there is an error, it automatically adjusts the tension and cutting position of the rolled film strip to achieve the consistency of the appearance of the special diet beverage packaging.

[0071] Furthermore, the laser calibration module includes:

[0072] A scanning unit for scanning the length of the rolled film strip in real time through a high-precision laser rangefinder to obtain measurement data;

[0073] A comparison unit for comparing the measurement data with the preset parameters and setting an error threshold;

[0074] An adjustment unit for automatically adjusting the tension and cutting position of the rolled film strip when the comparison result is greater than the error threshold.

[0075] Specifically, the laser calibration module 3 scans the length of the rolled film strip in real time through a high-precision laser rangefinder. After comparing the measurement data with the preset parameters, if an error is found, the system automatically adjusts the roll tension and cutting position to ensure that the length error is less than 0.1 mm. This module can significantly improve the consistency of the packaging appearance and avoid the accuracy problems brought by traditional mechanical adjustment methods.

[0076] In this embodiment, the core function of the laser calibration module 3 is to measure and calibrate the length of the vermicelli packaging bag 2 on the horizontal transfer workbench 1 in real time through a high-precision laser rangefinder. The laser rangefinder is installed on the conveying channel of the strip packing machine to scan the length of the passing vermicelli packaging bag 2 in real time.

[0077] Further explanation: The measured data needs to be pre - processed. The measured data is transmitted to the control unit through a signal transmission system and compared and analyzed with the preset length parameters. If the system detects a length error, the control unit issues an adjustment instruction to dynamically adjust the tension and cutting position of the rolled film.

[0078] Further explanation: As an innovative implementation scheme, the laser calibration module 3 can accurately adjust the measurement error. Through automatic computer adjustment, it ensures that the length error of the strip - shaped rolled film is less than 0.1 mm. The significant advantage of this module is that through non - contact laser measurement, it avoids the cumbersome process and errors of traditional mechanical adjustment, ensuring the consistency and accuracy of packaging products.

[0079] The central processing module is used to collect the operation data of the raw material identification and error prevention module, the intelligent batching module, the dynamic sensing module, and the laser calibration module in real - time, analyze the operation data, and send instructions to each actuator based on the analysis results.

[0080] Furthermore, the raw material identification and error prevention module, the intelligent batching module, the dynamic sensing module, and the laser calibration module are respectively connected to the central processing module.

[0081] Specifically, as Figure 3 shown, the central processing module is responsible for processing information from each module, thereby operating the corresponding actuators to achieve the corresponding purposes. As the core of the system, the central processing module is responsible for overall coordination of the operation of each sub - module. The central processing module integrates data from the laser calibration, intelligent batching, raw material identification, and dynamic sensing modules, conducts analysis and decision - making. According to the actual production situation, it sends instructions to each actuator, such as adjusting the equipment operation parameters or triggering an alarm. It is responsible for recording and managing the operation data of all modules, providing a basis for production traceability and quality assessment. In this embodiment, based on the real - time data in the production process, the control algorithm is optimized to improve the overall operation efficiency of the system.

[0082] Further explanation: As Figure 4 shown, the decision - making ability of the central processing module comes from the training of the neural network. All the data required for training the neural network model comes from the real - time collection of each module, and has a certain timeliness.

[0083] Furthermore, as an innovative implementation method, the neural network model is not a static model, but is iteratively trained in real - time according to the information generated by the working conditions. This ensures the correctness of the decision - making ability, thereby improving the effect and production efficiency of the dispensing system in generating high - quality special dietary beverages.

[0084] Through the collaborative operation of these modules, the present invention realizes the online monitoring, real-time regulation, and quality management of the entire production process, significantly improving the production efficiency and quality of the special dietary drinks of medicinal and edible homology, and meeting the requirements of intelligent production.

[0085] This embodiment proposes an innovative technical solution integrating laser calibration, intelligent batching, raw material identification, and dynamic regulation. The laser calibration module can achieve high-precision measurement and real-time adjustment of the strip length to ensure the accuracy and consistency of packaging. The intelligent batching module uses a high-precision electronic scale and dynamic flow control technology to achieve precise batching and uniform mixing, ensuring stable product quality. The raw material identification and error prevention module eliminates the risk of raw material confusion through RFID tags and image recognition technology. The dynamic sensing module combines Internet of Things functions to achieve remote monitoring, data traceability, and intelligent alarm, greatly improving production efficiency and management level. These innovative improvements significantly enhance the accuracy, intelligence level, and production efficiency of the system, and can better meet the high-standard production requirements of the special dietary drinks of medicinal and edible homology.

[0086] Embodiment Two

[0087] This embodiment also discloses a computer device, including a memory, a processor, and a computer program stored on the memory. The processor executes the computer program to implement the system described in Embodiment One.

[0088] Embodiment Three

[0089] This embodiment also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the system described in Embodiment One.

[0090] Embodiment Four

[0091] This embodiment also discloses a computer program product, including a computer program. When the computer program is executed by a processor, it implements the system described in Embodiment One.

[0092] The above is only the preferred specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A special dietary beverage preparation system based on laser calibration and intelligent batching, characterized in that, Including: A raw material identification and anti - error module, which is used to identify the raw materials of the special diet drink through a dual - verification mechanism and add qualified raw materials to the feeding device; An intelligent batching module, which is used to measure various raw materials in real - time through a high - precision electronic scale and stir - mix the measured various raw materials through an ultrasonic vibration rod; A dynamic sensing module, which is used to detect the operating status during the production process of the special diet drink in real - time through various sensors; A laser calibration module, which is used to scan the length of the roll film strip in real - time through a high - precision laser rangefinder and compare it with preset parameters. If there is an error, it will automatically adjust the tension and cutting position of the roll film strip to achieve the consistency of the packaging appearance of the special diet drink; A central processing module, which is used to collect the operating data of the raw material identification and anti - error module, intelligent batching module, dynamic sensing module, and laser calibration module in real - time, analyze the operating data, and send instructions to each actuator based on the analysis results.

2. The system according to claim 1, wherein: The raw material identification and anti - error module includes: A label identification unit, which is used to identify the RFID label of the raw materials of the special diet drink and obtain the label information of the raw materials; An image recognition unit, which is used to obtain the raw material image through a CCD camera and identify the image feature information; An information matching unit, which is used to compare the label information and the image feature information with the system database respectively to ensure the consistency between the label and the physical object.

3. The system according to claim 1, wherein: The intelligent batching module includes: A metering unit, which is used to measure various raw materials in real - time through a high - precision electronic scale; A mixing unit, which is used to load various raw materials into a special mixing device according to the preset ratio of the feeding weights of different raw materials; A stirring unit, which is used to set various stirring frequencies and stir - mix the mixed various raw materials through an ultrasonic vibration rod in a variable - frequency manner.

4. The system according to claim 1, wherein: The dynamic sensing module is provided with various sensors, covering key links of the production equipment, and the sensor data collected in real - time is uploaded to the cloud through a wireless network.

5. The system according to claim 1, wherein: The laser calibration module includes: A scanning unit, which is used to scan the length of the roll film strip in real - time through a high - precision laser rangefinder to obtain measurement data; A comparison unit, which is used to compare the measurement data with preset parameters and set an error threshold; An adjustment unit, which is used to automatically adjust the tension and cutting position of the roll film strip when the comparison result is greater than the error threshold.

6. The system according to claim 1, wherein: The raw material identification and anti - error module, intelligent batching module, dynamic sensing module, and laser calibration module are respectively connected to the central processing module.

7. A computer device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the system according to any one of claims 1 - 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the system according to any one of claims 1 - 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the system according to any one of claims 1 - 5.

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