A juice filling detection system and detection method

Abstract

The present invention relates to the field of filling detection technology, and in particular to a juice filling detection system and detection method. The present invention obtains a container image through a filling module, fills a preset amount of juice according to the container image, and obtains an audio signal of the filling process. The transmission module transmits the container and obtains a vibration signal during the container transmission process. The capping module performs a capping action on the container and obtains a force value of a mechanical arm during the capping process. The filling detection unit determines whether there is an abnormality in the container filling process based on the audio signal combined with the vibration signal, and the capping detection unit determines whether there is an abnormality in the container capping process based on the force value. The present invention identifies various problems in the juice filling process by respectively detecting the filling process and the capping process, thereby improving the detection accuracy of juice filling.

Description

Technical Field

[0001] The present invention relates to the technical field of filling detection, and in particular to a juice filling detection system and a detection method. Background Art

[0002] The filling process is a very important process in juice production, which directly affects the quality and safety of the product. If there are problems with the bottle itself, such as the heat shrinkage rate does not meet the standard, or the speed and vacuum pressure of the filling machine are insufficient, it may cause the filling volume to change, resulting in insufficient net content of the product. The residual liquid on the bottle mouth will cause black caps and stains on the bottle mouth, affecting the sensory quality and safety of the product.

[0003] The prior art discloses a quality inspection system for liquid bottle filling, which includes: a sensor, at least one camera, at least one light source, a computer, a speed detector and a rejection device, wherein the sensor and the camera are installed on one side of the liquid bottle production line, the light source is installed on the other side of the liquid bottle production line corresponding to the camera, each light source is perpendicular to the center line of the corresponding camera, the speed detector is installed on the liquid bottle production line, the rejection device is installed on one side of the liquid bottle production line downstream of the rear end of the light source, the computer is electrically connected to the sensor, the camera, the speed detector and the rejection device respectively, and the system also includes: a water removal device, which is installed on one side or both sides of the liquid bottle production line upstream of the front end of the light source, the system can detect and ensure the quality of liquid bottle filling in all directions, and is used to detect the filling production line of beverages, seasonings, wine, detergents, cosmetics or medicines. However, the prior art does not detect the filling process and the capping process separately, which leads to low detection accuracy for juice filling and inability to identify various problems existing in the juice filling process.

[0004] Therefore, there is an urgent need for a juice filling detection system and detection method that can detect the filling process and the capping process respectively, so as to improve the detection accuracy of juice filling and identify various problems existing in the juice filling process. Summary of the invention

[0005] The purpose of the present invention is to provide a juice filling detection system, collect audio of the filling process, transmit vibration signals of the process, determine whether there is an abnormality in the container filling process, obtain a force value change curve, determine whether there is an abnormality in the container capping process, and improve the accuracy of detection of the filling process and the capping process.

[0006] The present invention provides a juice filling detection system, which comprises:

[0007] A filling module, comprising an image acquisition unit for acquiring an image of the container, a filling unit for filling a preset amount of juice according to the image of the container, and an audio acquisition unit for acquiring an audio signal of the filling process;

[0008] A conveying module, comprising a conveying unit for conveying the container, and a vibration collecting unit arranged on the conveying unit for obtaining a vibration signal during the conveying process of the container;

[0009] The capping module comprises a mechanical arm for performing a capping action on the container and a force detection unit arranged on the mechanical arm for obtaining a force value of the mechanical arm during the capping process;

[0010] The detection module is connected to each of the filling modules, the conveying module and the capping module, and includes a filling detection unit and a capping detection unit.

[0011] The filling detection unit is used to determine whether there is an abnormality in the container filling process based on the audio signal obtained by the audio collection unit and the vibration signal obtained by the vibration collection unit.

[0012] The capping detection unit is used to construct a force value variation curve according to the force value obtained by the force detection unit and fit it with the standard force value variation curve, and determine whether there is an abnormality in the container capping process according to the fitting result.

[0013] The filling unit fills a preset amount of juice according to the container image, including:

[0014] The image acquisition unit acquires the container image,

[0015] The filling unit matches the container image with the container sample image.

[0016] The filling unit obtains the preset amount corresponding to the container sample image,

[0017] The filling unit fills the preset amount of juice into the container.

[0018] The filling detection unit is also used to calculate the audio fit according to the audio signal obtained by the audio acquisition unit, and calculate the average amplitude according to the vibration signal obtained by the vibration acquisition unit.

[0019] Extract audio segments of a single container filling process,

[0020] Obtain an audio waveform corresponding to the audio segment, and obtain an audio fit between the audio waveform and a standard audio waveform;

[0021] A vibration signal of the container during the conveying process of the conveying unit is obtained, and an average amplitude of the vibration signal is obtained.

[0022] The filling detection unit is also used to determine whether there is an abnormality in the container filling process based on the audio fit and the average amplitude of the vibration signal.

[0023] If the first preset condition is met, it is determined that there is an abnormality in the container filling process;

[0024] If the first preset condition is not met, it is determined that there is no abnormality in the container filling process;

[0025] Obtaining the absolute value of the difference between the average amplitude and the standard amplitude value, and calculating the ratio of the absolute value to the standard amplitude value;

[0026] The first preset condition is that the audio fit is less than a preset audio fit comparison threshold, or the ratio is greater than a preset ratio comparison threshold.

[0027] The capping detection unit constructs a force value variation curve according to the force value obtained by the force detection unit.

[0028] Real-time acquisition of the force value of the robotic arm during the capping time period, wherein the capping time period is from the time when the lid contacts the container to the time when the capping action is completed.

[0029] A force value variation curve is constructed according to time and force value.

[0030] The capping detection unit determines whether there is an abnormality in the container capping process according to the fitting result.

[0031] Fit the force value change curve with the standard force value change curve to obtain the force value curve fitting value.

[0032] Compare the force value curve fitting value with the preset force value curve fitting value comparison threshold,

[0033] If the force value curve fitting value is less than the preset force value curve fitting value comparison threshold, it is determined that there is an abnormality in the container capping process;

[0034] If the force value curve fitting value is greater than or equal to the preset force value curve fitting value comparison threshold, it is determined that there is no abnormality in the container sealing process.

[0035] The detection module also includes a device for obtaining the filling abnormality rate and determining whether to stop the filling machine according to the filling abnormality rate.

[0036] Obtain the ratio of the sum of the number of containers with abnormal filling process and the number of containers with abnormal capping process to the total number of containers, and record the ratio as the filling abnormality rate.

[0037] Compare the filling abnormality rate with the preset filling abnormality rate comparison threshold,

[0038] If the filling abnormality rate is greater than the preset filling abnormality rate comparison threshold, it is determined to stop the filling machine operation.

[0039] The conveying unit comprises a plurality of conveyor belts, and when an abnormality occurs in the container filling process, the container is conveyed to an abnormal filling area, and when an abnormality occurs in the container capping process, the container is conveyed to an abnormal capping area.

[0040] It also includes a display module for displaying the determination result of the detection module.

[0041] A juice filling detection method, comprising:

[0042] Step S1, obtaining a container image, filling a preset amount of juice according to the container image, and obtaining an audio signal of the filling process;

[0043] Step S2, conveying the filled container through a conveyor belt, and obtaining a vibration signal during the conveying process of the container;

[0044] Step S3, judging whether there is any abnormality in the container filling process according to the audio signal combined with the vibration signal;

[0045] Step S4, the robotic arm performs a capping action on the container, and obtains the force value of the robotic arm during the capping process in real time;

[0046] Step S5, constructing a force value variation curve according to the force value and fitting it with a standard force value variation curve, and determining whether there is an abnormality in the container capping process according to the fitting result.

[0047] The beneficial effects of the present invention are:

[0048] The present invention provides a juice filling detection system, which collects audio of the filling process, transmits vibration signals of the process, determines whether there is an abnormality in the container filling process, obtains a force value change curve, determines whether there is an abnormality in the container capping process, and improves the accuracy of detection of the filling process and the capping process.

[0049] Furthermore, the present invention fills a preset amount of juice according to the container image. Since there are many different specifications of containers in actual situations, the filling efficiency is low by manually adjusting the juice filling amount according to containers of different specifications. The filling efficiency can be significantly improved by acquiring the container image and using image analysis software to match the container image with the standard container image to determine the filling amount.

[0050] Furthermore, the filling detection unit of the present invention determines whether there is an abnormality in the container filling process by combining an audio signal with a vibration signal. Since the juice is filled to different heights during the filling process, the filling sound will also change. In actual situations, there may be phenomena such as unstable filling liquid flow rate, which may cause the filling amount to exceed the preset amount, or be less than the preset amount. By obtaining the audio of the filling process, it can be determined whether the filling amount meets the standard. When the filling amount in the container is insufficient or exceeded, the fluctuation of the container during the transmission process will also be different, so that the amplitude of the vibration signal will be different. By combining the audio signal with the vibration signal, it can be more accurately determined whether there is an abnormality in the container filling process, thereby improving the accuracy of detection of the filling process.

[0051] Furthermore, the capping detection unit of the present invention determines whether there is an abnormality in the container capping process through the force value change curve. In actual situations, due to abnormalities in the lid or the container mouth, such as abnormalities in the bottle mouth thread, juice adhering to the outside of the bottle mouth, etc., when similar situations occur in the container, during the capping process, the force value of the robotic arm will be abnormal, thereby accurately detecting abnormal containers and improving detection reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a system structure diagram of a juice filling detection system in an embodiment of the present invention;

[0053] Figure 2 It is a structural diagram of a detection module in an embodiment of the present invention;

[0054] Figure 3 This is a logic determination diagram for determining whether there is an abnormality in the container capping process by the capping detection unit in an embodiment of the present invention;

[0055] Figure 4 This is a step diagram of the juice filling detection method in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] In the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. Among them, the terms "first position" and "second position" are two different positions, and the first feature "above", "above" and "above" the second feature include the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. The first feature "below", "below" and "below" the second feature include the first feature being directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0058] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0059] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0060] See also Figure 1-Figure 2 As shown, Figure 1 is a system structure diagram of a juice filling detection system in an embodiment of the present invention, Figure 2 This is a structural diagram of a detection module in an embodiment of the present invention. This embodiment provides a juice filling detection system, which includes:

[0061] A filling module, comprising an image acquisition unit for acquiring an image of the container, a filling unit for filling a preset amount of juice according to the image of the container, and an audio acquisition unit for acquiring an audio signal of the filling process;

[0062] A conveying module, comprising a conveying unit for conveying the container, and a vibration collecting unit arranged on the conveying unit for obtaining a vibration signal during the conveying process of the container;

[0063] The capping module comprises a mechanical arm for performing a capping action on the container and a force detection unit arranged on the mechanical arm for obtaining a force value of the mechanical arm during the capping process;

[0064] The detection module is connected to each of the filling modules, the conveying module and the capping module, and includes a filling detection unit and a capping detection unit.

[0065] The filling detection unit is used to determine whether there is an abnormality in the container filling process based on the audio signal obtained by the audio collection unit and the vibration signal obtained by the vibration collection unit.

[0066] The capping detection unit is used to construct a force value variation curve according to the force value obtained by the force detection unit and fit it with the standard force value variation curve, and determine whether there is an abnormality in the container capping process according to the fitting result.

[0067] Specifically, the present invention does not limit the specific structure of the filling module. In this embodiment, the image acquisition unit may be an industrial CCD camera, the filling unit may be a filling tube, a filling head and a computer logic component, and the audio acquisition unit may be an audio acquisition card.

[0068] Specifically, the present invention does not limit the specific structure of the transmission module. In this embodiment, the transmission unit may be a conveyor belt, and the vibration collection unit may be a vibration sensor.

[0069] Specifically, the present invention does not limit the specific structure of the capping module. In this embodiment, the force detection unit may be a force sensor.

[0070] Specifically, the present invention does not limit the specific structure of the detection module, and the filling detection unit and the capping detection unit can both be composed of computer logic components.

[0071] Specifically, the filling unit fills a preset amount of juice according to the container image, including:

[0072] The image acquisition unit acquires the container image,

[0073] The filling unit matches the container image with the container sample image.

[0074] The filling unit obtains the preset amount corresponding to the container sample image,

[0075] The filling unit fills the preset amount of juice into the container.

[0076] It can be understood that in this embodiment, different container images that need to be filled are obtained in advance, and the filling amount corresponding to each container image is recorded, each container image is stored as a container sample image, and the filling amount corresponding to the container sample image is recorded as the preset amount.

[0077] In this embodiment, the container image is matched with the container sample image using image analysis software, and the image analysis software may be matlab.

[0078] Specifically, the present invention fills a preset amount of juice according to a container image. Since there are a variety of containers of different specifications in actual situations, the filling efficiency is low by manually adjusting the juice filling amount according to containers of different specifications. The filling efficiency can be significantly improved by acquiring the container image and using image analysis software to match the container image with a standard container image to determine the filling amount.

[0079] Specifically, the filling detection unit is further used to calculate the audio fit according to the audio signal obtained by the audio acquisition unit, and calculate the average amplitude according to the vibration signal obtained by the vibration acquisition unit.

[0080] Extract audio segments of a single container filling process,

[0081] Obtain an audio waveform corresponding to the audio segment, and obtain an audio fit between the audio waveform and a standard audio waveform;

[0082] A vibration signal of the container during the conveying process of the conveying unit is obtained, and an average amplitude of the vibration signal is obtained.

[0083] Specifically, the filling detection unit is also used to determine whether there is an abnormality in the container filling process based on the audio fit combined with the average amplitude of the vibration signal.

[0084] If the first preset condition is met, it is determined that there is an abnormality in the container filling process;

[0085] If the first preset condition is not met, it is determined that there is no abnormality in the container filling process;

[0086] Obtaining the absolute value of the difference between the average amplitude and the standard amplitude value, and calculating the ratio of the absolute value to the standard amplitude value;

[0087] The first preset condition is that the audio fit is less than a preset audio fit comparison threshold, or the ratio is greater than a preset ratio comparison threshold.

[0088] In this embodiment, the standard audio waveform and the standard amplitude value are measured in advance in experiments, and each container is filled with a preset amount of juice. The audio segments of the filling process of each container are obtained several times. The audio segment of the filling process is from the beginning of filling the juice into the container to the juice in the container reaching the preset amount. The audio waveform corresponding to each container is obtained, and the average audio waveform is obtained. The average audio waveform is recorded as the standard audio waveform. The container filled with the preset amount of juice is transmitted through a transmission unit, and the average amplitude during the transmission process is obtained. Several experiments are carried out on the same container to obtain the average value of the average amplitude, which is recorded as the standard amplitude value.

[0089] In this embodiment, the preset audio fit comparison threshold is selected within the range of [0.92, 0.98], and the preset ratio comparison threshold is selected within the range of [0.05, 0.1].

[0090] Specifically, the filling detection unit of the present invention determines whether there is an abnormality in the container filling process through an audio signal combined with a vibration signal. Since the juice is filled to different heights during the filling process, the filling sound will also change. In actual situations, there may be phenomena such as unstable filling liquid flow rate, which may cause the filling amount to exceed the preset amount, or be less than the preset amount. By obtaining the audio of the filling process, it can be determined whether the filling amount meets the standard. When the filling amount in the container is insufficient or exceeded, the fluctuation of the container during the transmission process will also be different, so that the amplitude of the vibration signal will be different. By combining the audio signal with the vibration signal, it can be more accurately determined whether there is an abnormality in the container filling process, thereby improving the accuracy of detection of the filling process.

[0091] Specifically, the capping detection unit constructs a force value variation curve according to the force value obtained by the force detection unit.

[0092] Real-time acquisition of the force value of the robotic arm during the capping time period, wherein the capping time period is from the time when the lid contacts the container to the time when the capping action is completed.

[0093] A force value variation curve is constructed according to time and force value.

[0094] See also Figure 3 Specifically, the capping detection unit determines whether there is an abnormality in the container capping process according to the fitting result.

[0095] Fit the force value change curve with the standard force value change curve to obtain the force value curve fitting value.

[0096] Compare the force value curve fitting value with the preset force value curve fitting value comparison threshold,

[0097] If the force value curve fitting value is less than the preset force value curve fitting value comparison threshold, it is determined that there is an abnormality in the container capping process;

[0098] If the force value curve fitting value is greater than or equal to the preset force value curve fitting value comparison threshold, it is determined that there is no abnormality in the container sealing process.

[0099] In this embodiment, the standard force value variation curve is pre-measured in the experiment, and the force value of the robot arm during the capping process of each container is obtained several times. The force value variation curve is constructed according to the average value of the force value of the robot arm at each time point, which is recorded as the standard force value variation curve.

[0100] In this embodiment, the preset stress value curve fitting value comparison threshold is selected within the range of [0.92, 0.98].

[0101] Specifically, the capping detection unit of the present invention determines whether there is an abnormality in the container capping process through the force value change curve. In actual situations, due to abnormalities in the lid or the bottle mouth of the container, such as abnormalities in the bottle mouth thread, juice adhering to the outside of the bottle mouth, etc., when similar situations occur in the container, during the capping process, the force value of the robotic arm will be abnormal, thereby accurately detecting abnormal containers and improving detection reliability.

[0102] Specifically, the detection module also includes a method for obtaining the filling abnormality rate and determining whether to stop the filling machine according to the filling abnormality rate.

[0103] Obtain the ratio of the sum of the number of containers with abnormal filling process and the number of containers with abnormal capping process to the total number of containers, and record the ratio as the filling abnormality rate.

[0104] Compare the filling abnormality rate with the preset filling abnormality rate comparison threshold,

[0105] If the filling abnormality rate is greater than the preset filling abnormality rate comparison threshold, it is determined to stop the filling machine operation.

[0106] In this embodiment, the preset filling abnormality rate comparison threshold is selected within the range of [0.005, 0.01].

[0107] It is understandable that the juice filling detection system is applied to a filling machine. When the filling abnormality rate is large, the filling machine may have an operation abnormality and the operation of the filling machine is stopped.

[0108] Specifically, the conveying unit includes a plurality of conveyor belts, which convey the containers to an abnormal filling area when an abnormality occurs in the container filling process, and convey the containers to an abnormal capping area when an abnormality occurs in the container capping process.

[0109] It can be understood that when there is no abnormality in the container filling process, the container is transferred to the capping module, and when there is no abnormality in the container capping process, the container is transferred to the packaging area.

[0110] Specifically, it also includes a display module for displaying the determination result of the detection module.

[0111] See also Figure 4 Specifically, a juice filling detection method includes:

[0112] Step S1, obtaining a container image, filling a preset amount of juice according to the container image, and obtaining an audio signal of the filling process;

[0113] Step S2, conveying the filled container through a conveyor belt, and obtaining a vibration signal during the conveying process of the container;

[0114] Step S3, judging whether there is any abnormality in the container filling process according to the audio signal combined with the vibration signal;

[0115] Step S4, the robotic arm performs a capping action on the container, and obtains the force value of the robotic arm during the capping process in real time;

[0116] Step S5, constructing a force value variation curve according to the force value and fitting it with a standard force value variation curve, and determining whether there is an abnormality in the container capping process according to the fitting result.

[0117] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the device, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based device that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0118] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A juice filling detection system, characterized in that: include: A filling module, comprising an image acquisition unit for acquiring an image of the container, a filling unit for filling a preset amount of juice according to the image of the container, and an audio acquisition unit for acquiring an audio signal of the filling process; A conveying module, comprising a conveying unit for conveying the container, and a vibration collecting unit arranged on the conveying unit for obtaining a vibration signal during the conveying process of the container; The capping module comprises a mechanical arm for performing a capping action on the container and a force detection unit arranged on the mechanical arm for obtaining a force value of the mechanical arm during the capping process; The detection module is connected to each of the filling modules, the conveying module and the capping module, and includes a filling detection unit and a capping detection unit. The filling detection unit is used to determine whether there is an abnormality in the container filling process based on the audio signal obtained by the audio collection unit and the vibration signal obtained by the vibration collection unit. The audio fitting degree is calculated according to the audio signal obtained by the audio acquisition unit, and the average amplitude is calculated according to the vibration signal obtained by the vibration acquisition unit. Extract audio segments of a single container filling process, Obtain an audio waveform corresponding to the audio segment, and obtain an audio fit between the audio waveform and a standard audio waveform; Acquire a vibration signal of the container during the conveying process of the conveying unit, and acquire an average amplitude of the vibration signal; It is used to determine whether there is an abnormality in the container filling process based on the audio fitting degree combined with the average amplitude of the vibration signal. If the first preset condition is met, it is determined that there is an abnormality in the container filling process; If the first preset condition is not met, it is determined that there is no abnormality in the container filling process; Obtaining the absolute value of the difference between the average amplitude and the standard amplitude value, and calculating the ratio of the absolute value to the standard amplitude value; The first preset condition is that the audio fit is less than a preset audio fit comparison threshold, or the ratio is greater than a preset ratio comparison threshold; The capping detection unit is used to construct a force value variation curve according to the force value obtained by the force detection unit and fit it with the standard force value variation curve, and determine whether there is an abnormality in the container capping process according to the fitting result; It is used to construct a force value change curve according to the force value obtained by the force detection unit. Real-time acquisition of the force value of the robotic arm during the capping time period, wherein the capping time period is from the time when the lid contacts the container to the time when the capping action is completed. Construct a force value change curve according to time and force value; Used to determine whether there is an abnormality in the container sealing process based on the fitting results, Fit the force value change curve with the standard force value change curve to obtain the force value curve fitting value. Compare the force value curve fitting value with the preset force value curve fitting value comparison threshold, If the force value curve fitting value is less than the preset force value curve fitting value comparison threshold, it is determined that there is an abnormality in the container capping process; If the force value curve fitting value is greater than or equal to the preset force value curve fitting value comparison threshold, it is determined that there is no abnormality in the container sealing process.

2. The juice filling detection system according to claim 1, characterized in that: The filling unit fills a preset amount of juice according to the container image, comprising: The image acquisition unit acquires the container image, The filling unit matches the container image with the container sample image. The filling unit obtains the preset amount corresponding to the container sample image, The filling unit fills the preset amount of juice into the container.

3. The juice filling detection system according to claim 1, characterized in that: The detection module also includes a device for obtaining the filling abnormality rate and determining whether to stop the filling machine according to the filling abnormality rate. Obtain the ratio of the sum of the number of containers with abnormal filling process and the number of containers with abnormal capping process to the total number of containers, and record the ratio as the filling abnormality rate. Compare the filling abnormality rate with the preset filling abnormality rate comparison threshold, If the filling abnormality rate is greater than the preset filling abnormality rate comparison threshold, it is determined to stop the filling machine operation.

4. The juice filling detection system according to claim 1, characterized in that: The conveying unit comprises a plurality of conveyor belts, and when an abnormality occurs in the container filling process, the container is conveyed to an abnormal filling area, and when an abnormality occurs in the container capping process, the container is conveyed to an abnormal capping area.

5. The juice filling detection system according to claim 1, characterized in that: It also includes a display module for displaying the determination result of the detection module.

6. A method for applying the juice filling detection system according to any one of claims 2 to 5, characterized in that: include: Step S1, obtaining a container image, filling a preset amount of juice according to the container image, and obtaining an audio signal of the filling process; Step S2, conveying the filled container through a conveyor belt, and obtaining a vibration signal during the conveying process of the container; Step S3, judging whether there is any abnormality in the container filling process according to the audio signal combined with the vibration signal; Step S4, the robotic arm performs a capping action on the container, and obtains the force value of the robotic arm during the capping process in real time; Step S5, constructing a force value variation curve according to the force value and fitting it with a standard force value variation curve, and determining whether there is an abnormality in the container capping process according to the fitting result.

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