Ingredient weighing method based on artificial intelligence

Abstract

The invention relates to the technical field of weighing and batching, in particular to an artificial intelligence-based batching and weighing method, which comprises the following steps of: step 1, data acquisition: acquiring image information and characteristic information of an existing material and image information of a to-be-batched material; step 2, model establishment and material identification: establishing a material judgment model, and judging the types and characteristics of the to-be-blended materials by the material judgment model in combination with an artificial intelligence technology; when the image information of various to-be-blended materials is input into the material judgment model at the same time, the release sequence of the to-be-blended materials is determined by the material judgment model; step 3, weighing and mixing the ingredients: putting the materials to be mixed into a mixing device, and carrying out ingredient weighing operation; according to the invention, by establishing the material judgment model, the types and characteristics of the to-be-blended materials can be accurately identified, and the optimal release sequence is determined, so that the blending problem caused by incompatibility or reactivity of the materials is reduced, and the blending safety and efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of weighing and batching technology, and specifically to an artificial intelligence-based batching and weighing method. Background Technology

[0002] Artificial intelligence-based ingredient weighing is a technology for managing complex recipes that combines intelligent sensors and data fusion, machine vision-assisted weighing, and adaptive control systems. It aims to improve the accuracy and efficiency of the ingredient weighing process. Data collected by high-precision sensors is analyzed using artificial intelligence to compensate for the influence of external conditions; computer vision technology is used to identify the quantity or volume of required materials, thereby reducing the risk of human error while ensuring product quality and consistency.

[0003] In existing technologies, such as dynamic batching methods based on multi-channel parallel weighing and real-time compensation, multiple independent weighing channels are provided, each corresponding to a material. After the material is weighed, the operator can simultaneously start the feeding equipment through the controller, so that all materials are released at the same time, thereby greatly shortening the batching time.

[0004] However, although the above method can weigh and batch materials, it may cause incompatibility or reaction between different materials during the batching process because it adopts the operation mode of releasing materials at the same time, thus affecting the batching quality.

[0005] In summary, the above-mentioned methods, which release materials simultaneously, may lead to incompatibility or reactions between different materials, thus affecting the quality of the batching. This has become a pressing problem in the field, so it is necessary to propose an artificial intelligence-based batching and weighing method. Summary of the Invention

[0006] To address the aforementioned issues, this invention provides an artificial intelligence-based batching and weighing method. By establishing a material judgment model, it can accurately identify the types and characteristics of the materials to be batched and determine the optimal release order, thereby reducing batching problems caused by material incompatibility or reactivity and improving the safety and efficiency of batching.

[0007] To achieve the above objectives, the technical solution of the present invention is as follows: a batching and weighing method based on artificial intelligence, comprising the following steps:

[0008] Step 1, Data Acquisition: Based on the Internet big data model, collect image information and characteristic information of existing materials, and collect images of the materials to be mixed to obtain image information of the materials to be mixed.

[0009] Step 2, Model Building and Material Identification: Based on the collected image and characteristic information of existing materials, a material judgment model is established. The image information of the materials to be mixed is input into the material judgment model, which uses artificial intelligence technology to judge the type and characteristics of the materials to be mixed. When multiple images of materials to be mixed are input into the material judgment model at the same time, the material judgment model determines the release order of the materials to be mixed.

[0010] Step 3, Weighing and Mixing of Ingredients: The materials to be mixed are placed into the batching device. The weight monitoring component in the batching device monitors the weight of the materials in real time. Once all the materials to be mixed are prepared, the staff starts the batching device. The batching device releases the materials to be mixed in batches according to the release order. The dust removal component in the batching device cleans and collects the dust generated during the batching process. Finally, the mixing component in the batching device mixes all the materials to be mixed, completing the batching operation.

[0011] The technical principles of the above solution are as follows:

[0012] The staff first collected image and characteristic information of existing materials based on the Internet big data model, and at the same time collected image information of the materials to be batched, thus completing the data collection operation.

[0013] After data collection is completed, staff establish a material judgment model based on the existing material image and characteristic information, and simultaneously input the image information of the materials to be mixed into the material judgment model. This model combines artificial intelligence technology to analyze and judge the image information of the materials to be mixed. When there is more than one type of material to be mixed, the material judgment model sorts the release order of the materials to be mixed.

[0014] After all the materials to be mixed are placed into the batching device, the weight monitoring component within the device monitors the weight of the materials in real time. Upon starting the device, it releases the materials according to the release order determined by the material judgment model, releasing them in batches through the feeding component. During this process, the device also uses a dust removal component to clean and collect dust generated during batching, and a mixing component to mix all the materials, completing the batching operation.

[0015] The above approach has the following beneficial effects:

[0016] 1. This invention establishes a material judgment model that can accurately identify the type and characteristics of the materials to be mixed and determine the optimal release order, thereby reducing mixing problems caused by material incompatibility or reactivity and improving the safety and efficiency of mixing.

[0017] 2. This invention monitors the weight of materials in real time through a weight monitoring component in the batching device, and combines it with artificial intelligence algorithms to dynamically analyze the data. This enables timely identification and compensation of errors in the weighing process, thereby significantly improving the weighing accuracy of the materials to be batched and allowing for more precise batching operations in subsequent batching processes.

[0018] 3. This invention removes dust generated during the batching process using a dust removal component, effectively reducing dust pollution and optimizing the working environment, thus protecting workers. It also reduces wear and tear on the batching equipment, extending its lifespan.

[0019] Furthermore, in step one, the material's characteristic information includes the material's physicochemical properties and its solid-liquid type.

[0020] Beneficial effects: Physicochemical properties are key indicators for distinguishing different materials. By collecting the physicochemical properties of different materials, we can more accurately identify the type of material when it is necessary to judge the material in the future, and avoid misjudgment. At the same time, by clarifying the solid-liquid type of the material, we can better improve the conveying logic according to its solid-liquid type when processing the material.

[0021] Furthermore, in step two, when determining the release order of the materials to be batched, the material judgment model judges the fluidity of the materials based on their characteristic information and sorts the release order of the materials to be batched in order of fluidity from low to high.

[0022] Beneficial effects: Materials with poor flowability are prone to residue or blockage during the feeding process. By prioritizing the release of materials with poor flowability, the flushing effect of subsequent materials with high flowability can reduce their residue during the feeding process, thereby reducing the occurrence of blockage.

[0023] Furthermore, the batching device includes a controller and a processing box. The controller is electrically connected to a worker terminal. The processing box has a feed inlet and a discharge outlet. The discharge outlet is hinged with an opening and closing door. The top of the processing box is equipped with a weight monitoring component for real-time monitoring of the weight of the materials to be batched.

[0024] A buffer cylinder is fixedly connected to the top wall of the processing box. The buffer cylinder is located directly below the feed inlet. The buffer cylinder is equipped with a feeding component for controlling the feeding of the material to be processed. A telescopic component is hinged to the inner side wall of the processing box. The controller is used to control the extension and retraction of the output shaft of the telescopic component. A transmission component is provided on the output shaft of the telescopic component to drive the feeding component.

[0025] A mixing chamber is fixedly connected to the bottom wall of the processing box. The bottom of the buffer cylinder is equipped with a guide component for guiding the material to be mixed in the buffer cylinder into the mixing chamber. The mixing chamber is equipped with a mixing component for mixing the material to be mixed.

[0026] The inner side wall of the processing box is also equipped with a dust removal component for removing dust generated during the mixing of materials to be mixed. A dust collection box is fixedly connected to the inner side wall of the processing box. The lower part of the dust collection box is filled with dust collection water. One side of the dust collection box is fixedly connected to and communicates with the side wall of the mixing box. A drain hole is opened at the lower part of the side wall of the processing box. The dust collection box communicates with the outside through the drain hole. A rubber plug is detachably connected to the drain hole. The transmission component is also used to drive the mixing component and the dust removal component to operate.

[0027] Beneficial effects: The weight monitoring component installed on the top of the processing box can monitor the weight of the materials to be mixed in real time, ensuring that the amount of materials added each time meets the formula requirements, thereby reducing errors in the mixing process and improving mixing accuracy. At the same time, the dust collection box uses dust collection water to collect dust in a wet manner, effectively avoiding dust backflow and thus improving the quality of mixing.

[0028] Furthermore, the weight monitoring component includes a monitoring box detachably connected to the top of the processing box, located directly above the feed inlet. Several partitions are fixedly connected to the inner side wall of the monitoring box, dividing the monitoring box into several placement chambers. Each placement chamber has a detachable cover plate on its top. Each placement chamber has a conical block fixedly connected to its bottom wall, and a pressure sensor is fixedly connected inside each conical block. Each placement chamber has a solenoid valve symmetrically connected to its bottom. The controller is used to receive pressure signals collected by the pressure sensors and control the opening and closing of the solenoid valves based on the pressure signals. Each placement chamber has a camera fixedly connected to its inner side wall, and the controller is used to collect image information of the material to be dispensed through the camera.

[0029] Beneficial effects: The conical block design ensures uniform pressure on the pressure sensor, reducing the impact of uneven material distribution on the sensor readings and thus improving weighing accuracy. Simultaneously, by combining weight data from the pressure sensor with visual data from the camera, more comprehensive material monitoring is achieved, ensuring precise weighing and batching of materials.

[0030] Furthermore, the transmission assembly includes an extension rod rotatably fitted onto the buffer cylinder, with both ends of the extension rod extending through the adjacent sidewall of the buffer cylinder to the outside of the buffer cylinder. A hinge frame is fixedly connected to the output shaft of the telescopic component, and an L-shaped hinge rod is hinged to the hinge frame. The end of the hinge rod away from the hinge frame is fixedly connected to the extension rod, and a spur gear and a first bevel gear are coaxially fixedly connected to both ends of the extension rod.

[0031] Beneficial effects: By forming a stable mechanical linkage structure between the articulated frame, articulated rod, and extension rod, the telescopic movement of the output shaft of the telescopic component can be converted into the rotational movement of the extension rod through the articulated rod, thereby reducing energy loss in the power transmission process and improving transmission efficiency.

[0032] Furthermore, the feeding assembly includes a stop block that is inclinedly and fixedly connected to the inner wall of the buffer cylinder. The stop block is rotatably engaged with the extension rod, and a baffle is fixedly connected to the extension rod. The baffle is rotatably engaged with the inner wall of the buffer cylinder.

[0033] Beneficial effects: By controlling the rotation angle of the extension rod, the opening and closing degree of the baffle can be precisely adjusted, thereby controlling the material feeding speed and flow rate. This avoids the accuracy problems caused by material blockage or excessive release in traditional feeding devices, ensuring that the feeding amount each time meets the formula requirements.

[0034] Furthermore, the guiding assembly includes a guide frame fixedly connected to the bottom of the buffer cylinder, the guide frame being arranged at an angle and communicating with the interior of the mixing chamber.

[0035] Beneficial effects: The design of the guide frame being inclined at the bottom of the buffer cylinder and connected to the inside of the mixing box allows the material to slide naturally into the mixing box after entering the guide frame, without the need for additional power drive, thus reducing energy consumption and improving material transfer efficiency.

[0036] Furthermore, the mixing assembly includes a second bevel gear that meshes with the first bevel gear. The second bevel gear is coaxially and fixedly connected to a rotating shaft. The rotating shaft extends through the top wall of the mixing chamber and into the mixing chamber, where it rotates and engages with the bottom wall of the mixing chamber. A stirring blade is fixedly connected to the rotating shaft circumferentially along its side wall.

[0037] Beneficial effects: The design of the stirring blades being fixedly connected circumferentially along the side wall of the rotating shaft creates a multi-angle, multi-layered stirring structure. When the rotating shaft rotates, the stirring blades can mix the materials in all directions, ensuring that the materials are evenly distributed within the mixing chamber and avoiding the problem of uneven mixing in certain areas.

[0038] Furthermore, the dust removal assembly includes a dust removal box fixedly connected to the inner side wall of the processing chamber. A dust removal plate is slidably fitted onto the inner side wall of the dust removal box, and a rack is fixedly connected to the dust removal plate. The rack extends through the side wall of the dust removal box to the outside of the dust removal box and slidably engages with the side wall of the dust removal box. The rack meshes with a spur gear. An inlet check valve and an outlet check valve are connected to the dust removal box. The inlet check valve guides the gas, allowing the gas to enter the dust removal box 21 from the outside. An outlet check valve is fixedly connected to and connected to an air supply pipe. The end of the air supply pipe away from the outlet check valve is connected to the inside of the mixing chamber. The outlet check valve guides the gas, allowing the gas to flow from the inside of the dust removal box to the inside of the air supply pipe.

[0039] Beneficial effects: By sliding the dust removal plate on the inner wall of the dust removal box and meshing the rack and spur gear, the dust removal plate can reciprocate, enabling it to efficiently transport the airflow generated during its movement into the mixing box and clean the dust inside, ensuring the continuity and efficiency of the dust removal process.

[0040] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the method steps of the artificial intelligence-based batching and weighing method of the present invention.

[0042] Figure 2 This is an isometric schematic diagram of the batching device in the batching and weighing method based on artificial intelligence of the present invention.

[0043] Figure 3 This is an isometric schematic diagram of the internal structure of the batching device in the batching and weighing method based on artificial intelligence of the present invention.

[0044] Figure 4 This is a cross-sectional view of the monitoring box in the artificial intelligence-based batching and weighing method of the present invention.

[0045] Figure 5 This is a top-section schematic diagram of the dust collection box in the batching and weighing method based on artificial intelligence of the present invention.

[0046] Figure 6 This is an isometric schematic diagram of the mixing component in the artificial intelligence-based batching and weighing method of the present invention.

[0047] The reference numerals in the accompanying drawings of the instruction manual include: 1. Processing box; 2. Opening and closing door; 3. Monitoring box; 4. Partition; 5. Cover plate; 6. Pressure sensor; 7. Solenoid valve; 8. Camera; 9. Buffer cylinder; 10. Extension rod; 11. Hinge rod; 12. Spur gear; 13. First bevel gear; 14. Baffle; 15. Mixing box; 16. Guide frame; 17. Second bevel gear; 18. Rotating shaft; 19. Stirring blade; 20. Dust collection box; 21. Dust removal box; 22. Dust removal plate; 23. Rack; 24. Rubber stopper. Detailed Implementation

[0048] The following detailed description illustrates the specific implementation method:

[0049] Example 1:

[0050] As attached Figure 1 As shown: An artificial intelligence-based ingredient weighing method includes the following steps:

[0051] Step 1, Data Acquisition: First, staff collect image and characteristic information of existing materials based on the Internet big data model to obtain image information of various existing materials and their physicochemical properties and solid-liquid types. At the same time, the batching device collects images of the materials to be batched to obtain image information of the materials to be batched.

[0052] Step Two, Model Building and Material Identification: After data acquisition, the collected image and characteristic information of existing materials is integrated to build a material judgment model. Then, the image information of the materials to be mixed is input into the material judgment model. The model, combined with artificial intelligence technology, determines the type of material to be mixed and simultaneously derives its physicochemical properties and solid-liquid type. When multiple images of materials to be mixed are simultaneously input into the material judgment model, the model determines their flowability based on their solid-liquid type and sorts them in order of increasing flowability, thus ensuring that the materials are released in order of increasing flowability.

[0053] Step 3, Weighing and Mixing of Ingredients: After determining the release order of the materials to be mixed, the staff places the materials into the mixing device. The weight monitoring component in the mixing device monitors the weight of the materials in real time. Once all the materials are mixed, the staff starts the mixing device, which releases the materials sequentially according to their release order. The feeding component in the mixing device releases the materials in batches, and the dust removal component cleans and collects the dust generated during the mixing process. Simultaneously, the mixing component in the mixing device mixes all the materials to be mixed, completing the mixing operation. In this embodiment, the staff sets weight thresholds for different materials using the weight monitoring component in the mixing device. When the weight of the material reaches the threshold, the mixing device sends threshold information to the staff's terminal, informing the staff that the weight of the material has met the standard.

[0054] This invention establishes a material judgment model that can accurately identify the type and characteristics of the materials to be mixed and determine the optimal release order, thereby reducing mixing problems caused by material incompatibility or reactivity and improving the safety and efficiency of mixing.

[0055] Example 2:

[0056] As attached Figure 2 As shown, the difference from Embodiment 1 is that the batching device includes a controller and a processing box 1. The controller is electrically connected to a worker terminal. The processing box 1 has a feed inlet and a discharge outlet. The discharge outlet is hinged with an opening and closing door 2. The top of the processing box 1 is equipped with a weight monitoring component for real-time monitoring of the weight of the materials to be batched.

[0057] As attached Figure 4 As shown, the weight monitoring component includes a monitoring box 3 that is detachably bolted to the top of the processing box 1. The monitoring box 3 is located directly above the feed inlet. Several partitions 4 are welded to the inner wall of the monitoring box 3, dividing the monitoring box 3 into several placement chambers. Each placement chamber has a detachable cover plate 5 that can be snapped onto its top. Each placement chamber has a conical block fixedly connected to its bottom wall with screws. Each conical block has a pressure sensor 6 embedded in it. Each placement chamber has a solenoid valve 7 symmetrically connected to its bottom. The controller is used to receive the pressure signal collected by the pressure sensor 6 and control the opening and closing of the solenoid valve 7 based on the pressure signal. Each placement chamber has a camera 8 fixedly connected to its inner wall with screws. The controller is used to collect image information of the material to be dispensed through the camera 8.

[0058] Specifically, since the bottom wall of the placement chamber is bolted with conical blocks, and each conical block is embedded with a pressure sensor 6, when the operator puts the material to be prepared into the placement chamber, the material will press against the conical blocks. The pressure of this pressing is monitored in real time by the pressure sensor 6, thus allowing real-time monitoring of the weight of the material to be prepared based on the magnitude of the pressing pressure. Furthermore, since the monitoring box 3 is located directly above the feed inlet, and the solenoid valves 7 are symmetrically connected to the bottom of the placement chamber, when the solenoid valve 7 is opened, the material to be prepared can enter the processing box 1 through the solenoid valve 7.

[0059] As attached Figure 3 As shown, a buffer cylinder 9 is welded to the top wall of the processing box 1. The buffer cylinder 9 is located directly below the feed inlet. A feeding assembly for controlling the feeding of the material to be processed is installed inside the buffer cylinder 9. A telescopic component is hinged to the inner side wall of the processing box 1. A controller is used to control the extension and retraction of the output shaft of the telescopic component. A transmission assembly for driving the feeding assembly is installed on the output shaft of the telescopic component. In this embodiment, an electric telescopic rod is used as the telescopic component.

[0060] The transmission assembly includes an extension rod 10 rotatably fitted on the buffer cylinder 9. Both ends of the extension rod 10 extend through the side wall of the buffer cylinder 9 adjacent to it to the outside of the buffer cylinder 9. A hinge frame is bolted to the output shaft of the electric telescopic rod. An L-shaped hinge rod 11 is hinged to the hinge frame. The end of the hinge rod 11 away from the hinge frame is integrally formed with the extension rod 10. Both ends of the extension rod 10 are coaxially fixedly engaged with a spur gear 12 and a first bevel gear 13, respectively.

[0061] Specifically, since the output shaft of the electric telescopic rod is hinged to the hinge frame, and the L-shaped hinge rod 11 is hinged to the hinge frame and integrally formed with the extension rod 10, when the output shaft of the electric telescopic rod extends, it can drive the hinge rod 11 to swing under the limit of the extension rod 10, and then the hinge rod 11 drives the extension rod 10 to rotate, so that the extension rod 10 can drive the spur gear 12 and the first bevel gear 13, which are coaxially fixed and locked with it, to rotate.

[0062] The feeding assembly includes a stop block that is inclinedly welded to the inner wall of the buffer cylinder 9. The stop block is rotatably engaged with the extension rod 10. A baffle 14 is integrally formed on the extension rod 10. The baffle 14 is rotatably engaged with the inner wall of the buffer cylinder 9.

[0063] Specifically, due to the inclined arrangement of the baffle, when the material to be dispensed enters the buffer cylinder 9, it can move above the baffle 14 under the guidance of the baffle. Furthermore, since the baffle 14 and the extension rod 10 are integrally formed, and the baffle 14 is rotatably fitted with the inner wall of the buffer cylinder 9, when the extension rod 10 rotates, it can also drive the baffle 14 to rotate together, thereby discharging the material to be dispensed from inside the buffer cylinder 9.

[0064] A mixing chamber 15 is welded to the bottom wall of the processing box 1. The bottom of the buffer cylinder 9 is provided with a guide component for guiding the material to be mixed in the buffer cylinder 9 into the mixing chamber 15. The mixing chamber 15 is provided with a mixing component for mixing the material to be mixed.

[0065] The guiding assembly includes a guide frame 16 welded to the bottom of the buffer cylinder 9. The guide frame 16 is arranged at an angle and communicates with the interior of the mixing box 15.

[0066] Specifically, since the guide frame 16, which is located at the bottom of the buffer cylinder 9 and is arranged at an angle, is connected to the inside of the mixing box 15, when the material to be mixed enters the guide frame 16 through the buffer cylinder 9, the guide frame 16 can guide the material under its own weight, so that the material to be mixed can enter the mixing box 15.

[0067] As attached Figure 6 As shown, the mixing assembly includes a second bevel gear 17 that meshes with the first bevel gear 13. The second bevel gear 17 is coaxially fixedly connected to a rotating shaft 18. The rotating shaft 18 extends through the top wall of the mixing chamber 15 and into the mixing chamber 15, where it rotates and engages with the bottom wall of the mixing chamber 15. A stirring blade 19 is welded to the rotating shaft 18 along its side wall.

[0068] Specifically, since the first bevel gear 13 meshes with the second bevel gear 17, when the first bevel gear 13 rotates, it can drive the second bevel gear 17 to rotate. The second bevel gear 17 drives the rotating shaft 18, which is coaxially fixed and connected to it, to rotate. In turn, the rotating shaft 18 drives the stirring blade 19, which is welded to it, to rotate, so as to mix and stir the materials to be mixed inside the mixing box 15.

[0069] The inner wall of the processing box 1 is also equipped with a dust removal component for removing dust generated during the mixing of materials to be mixed. A dust collection box 20 is welded to the inner wall of the processing box 1. The lower part of the dust collection box 20 is filled with dust collection water. One side of the dust collection box 20 is integrally formed with and connected to the side wall of the mixing box 15. A drain hole is opened at the lower part of the side wall of the processing box 1. The dust collection box 20 is connected to the outside through the drain hole. A rubber plug 24 is detachably engaged at the drain hole. The transmission component is also used to drive the mixing component and the dust removal component to operate.

[0070] As attached Figure 5As shown, the dust removal assembly includes a dust removal box 21 welded to the inner wall of the processing box 1. A dust removal plate 22 is slidably fitted onto the inner wall of the dust removal box 21. A rack 23 is welded onto the dust removal plate 22. The rack 23 extends through the side wall of the dust removal box 21 to the outside of the dust removal box 21 and slidably fits against the side wall of the dust removal box 21. The rack 23 meshes with a spur gear 12. An inlet check valve and an outlet check valve are connected to the dust removal box 21. The inlet check valve guides the gas, allowing the gas to enter the dust removal box 21 from the outside. An outlet check valve is fixedly bonded to and connected to a gas delivery pipe. The end of the gas delivery pipe away from the outlet check valve is connected to the inside of the mixing box 15. The outlet check valve guides the gas, allowing the gas to flow from the inside of the dust removal box 21 to the inside of the gas delivery pipe.

[0071] Specifically, since the spur gear 12 meshes with the rack 23, when the spur gear 12 rotates, it can drive the rack 23 to move laterally. Furthermore, since the rack 23 is welded to the dust collection plate 22, when the rack 23 moves laterally, it can drive the dust collection plate 22 to move laterally as well. This causes the dust collection plate 22 to agitate the gas inside the dust collection box 21, creating an airflow. This airflow is then transported to the mixing box 15 through the exhaust one-way valve and the air delivery pipe. At this time, since the dust collection box 20 is connected to the mixing box 15 and is filled with dust-collecting water, when the airflow enters the mixing box 15, it can blow the dust raised during the mixing process into the dust collection box 20, allowing it to contact the dust-collecting water, thereby reducing the possibility of dust flowing back into the mixing box 15.

[0072] The specific implementation process is as follows: First, the operator sets the weight threshold of the pressure sensor 6 in each placement chamber according to the type of material to be prepared using the controller. Then, the material to be prepared is placed into the corresponding placement chamber according to its type, and the cover plate 5 is closed. The dispensing device is then started through the controller. In this embodiment, the cover plate 5 is transparent.

[0073] During this process, the material to be prepared will compress the conical block due to its own weight in the placement chamber, which will also cause the pressure sensor 6 inside the conical block to be subjected to compressive force. At this time, the pressure sensor 6 will send the pressure signal received to the controller in real time. The controller will compare the pressure signal sent by the pressure sensor 6 with the weight threshold set by the operator. When the pressure signal reaches the set weight threshold, the controller will send the threshold information to the operator's terminal to inform the operator that the weight of the material to be prepared has reached the standard.

[0074] Simultaneously, camera 8 will also capture images of the materials to be mixed, and use a material judgment model to determine the flowability of the materials to be mixed, releasing the materials in order of increasing flowability. At this time, the solenoid valves 7 in each placement chamber will open sequentially according to the flowability of the materials to be mixed from low to high, releasing the materials to be mixed into the buffer cylinder 9 in sequence.

[0075] The operator controls the output shaft of the electric telescopic rod to reciprocate, causing it to drive the articulated frame to reciprocate. The articulated frame drives the articulated rod 11 to swing back and forth within the limit of the extension rod 10, and the articulated rod 11 drives the extension rod 10 to rotate back and forth. At this time, the extension rod 10 drives the spur gear 12 and the first bevel gear 13 to rotate back and forth, and simultaneously drives the baffle 14 to swing back and forth within the buffer cylinder 9. When the baffle 14 swings back and forth within the buffer cylinder 9, a periodic gap will be generated between the baffle 14 and the buffer cylinder 9. At this time, the material to be batched in the buffer cylinder 9 will enter the guide frame 16 in batches, and under the guidance of the guide frame 16, enter the mixing box 15, realizing the batch feeding operation.

[0076] During the reciprocating rotation of the first bevel gear 13, the second bevel gear 17, the rotating shaft 18, and the stirring blade 19 will drive the second bevel gear 17, the rotating shaft 18, and the stirring blade 19 to reciprocate. The stirring blade 19 will mix and stir the materials to be batched in the mixing box 15 to achieve the batching operation.

[0077] Meanwhile, during the reciprocating rotation of the spur gear 12, it will also drive the rack 23 and the dust removal plate 22 to reciprocate in sequence. The dust removal plate 22 will disturb the gas in the dust removal box 21 to form an airflow. The air outside the dust removal box 21 will be drawn into the dust removal box 21 through the inlet one-way valve. The airflow generated by the disturbance will then be transported to the mixing box 15 through the outlet one-way valve and the air delivery pipe. The dust generated during the mixing of the materials to be batched will be blown into the dust collection box 20 to come into contact with the dust collection water, so that the dust can be collected and prevented from flowing back.

[0078] After all the materials to be mixed have been released into the mixing box 15 and the mixing is completed, the staff will open the door 2 and take out the materials after the mixing operation is completed. Then, the rubber stopper 24 will be removed to collect the dust collection water and dry the dust in it for later use or to process it into by-products.

[0079] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. An artificial intelligence-based ingredient weighing method, characterized by, The method comprises the following steps: Step one, data collection: based on the internet large model, the image information and characteristic information of the existing materials are collected, and the image of the material to be prepared is collected to obtain the image information of the material to be prepared; Step two, model establishment and material identification: based on the collected image information and characteristic information of the existing materials, a material judgment model is established, the image information of the material to be prepared is input into the material judgment model, and the type and characteristics of the material to be prepared are judged by the material judgment model combined with artificial intelligence technology; when multiple image information of the material to be prepared is input into the material judgment model at the same time, the release order of the material to be prepared is determined by the material judgment model; Step three, material preparation and weighing: the material to be prepared is placed in the material preparation device, the weight of the material is monitored in real time by the weight monitoring assembly in the material preparation device, when all the materials to be prepared are prepared, the worker starts the material preparation device, the material to be prepared is released into the material preparation device in sequence according to the release order of the material to be prepared, the batch release of the material to be prepared is realized through the discharging assembly in the material preparation device, the dust generated in the material preparation process is cleaned and collected through the dust removal assembly in the material preparation device, and all the materials to be prepared are mixed through the mixing assembly in the material preparation device, and the material preparation operation is completed.

2. The artificial intelligence-based ingredient weighing method according to claim 1, characterized in that, In step one, the characteristic information of the material includes the physical and chemical properties of the material and the solid-liquid type of the material.

3. The artificial intelligence-based ingredient weighing method according to claim 2, characterized in that, In step two, when determining the release order of the material to be prepared, the material judgment model judges the fluidity of the material to be prepared according to the characteristic information of the material to be prepared, and the release order of the material to be prepared is sorted in the order from low to high.

4. The artificial intelligence-based ingredient weighing method according to claim 3, characterized in that, The material preparation device comprises a controller and a processing box (1), the controller is electrically connected with a worker terminal, the processing box (1) is provided with a feeding port and a material taking port, the material taking port is hinged with an opening and closing door (2), and the processing box (1) is provided with a weight monitoring assembly on the top for monitoring the weight of the material to be prepared in real time; The inner top wall of the processing box (1) is fixedly connected with a buffer cylinder (9), the buffer cylinder (9) is located directly below the feeding port, the buffer cylinder (9) is provided with a discharging assembly for controlling the discharging of the material to be prepared, the inner side wall of the processing box (1) is hinged with an extension piece, the controller is used for controlling the extension and retraction of the extension piece output shaft, and the extension piece output shaft is provided with a transmission assembly for driving the operation of the discharging assembly; The inner bottom wall of the processing box (1) is fixedly connected with a mixing box (15), the bottom of the buffer cylinder (9) is provided with a guide assembly for guiding the material to be prepared in the buffer cylinder (9) to the inside of the mixing box (15), and the mixing box (15) is provided with a mixing assembly for mixing the material to be prepared; The inner side wall of the processing box (1) is further provided with a dust removal assembly for removing dust generated during mixing of the material to be dosed, a dust collection box (20) is fixedly connected to the inner side wall of the processing box (1), the lower part of the dust collection box (20) is filled with dust collection water, one side of the dust collection box (20) is fixedly connected to and communicates with the side wall of the mixing box (15), a drain hole is formed in the lower part of the side wall of the processing box (1), the dust collection box (20) communicates with the outside through the drain hole, a rubber plug (24) is detachably connected to the drain hole, and the transmission assembly is further used for driving the mixing assembly and the dust removal assembly to operate.

5. The artificial intelligence-based ingredient weighing method according to claim 4, characterized in that, The weight monitoring assembly comprises a monitoring box (3) which is detachably connected to the top of the processing box (1), the monitoring box (3) is located directly above the feeding port, a plurality of partitions (4) are fixedly connected to the inner side wall of the monitoring box (3), the partitions (4) divide the inside of the monitoring box (3) into a plurality of placement cavities, a cover plate (5) is detachably connected to the top of each placement cavity, a conical block is fixedly connected to the inner bottom wall of each placement cavity, a pressure sensor (6) is fixedly connected to the inside of each conical block, an electromagnetic valve (7) is symmetrically connected to the bottom of each placement cavity, the controller is used for receiving the pressure signal collected by the pressure sensor (6), controlling the opening and closing of the electromagnetic valve (7) based on the pressure signal, and a camera (8) is fixedly connected to the inner side wall of each placement cavity, and the controller is used for collecting image information of the material to be dosed through the camera (8).

6. The artificial intelligence-based ingredient weighing method according to claim 5, characterized in that, The transmission assembly comprises an extension rod (10) which is rotatably connected to the buffer barrel (9), the two ends of the extension rod (10) extend to the outside of the buffer barrel (9) by penetrating through the side wall of the buffer barrel (9) adjacent to the extension rod (10), a hinge frame is fixedly connected to the output shaft of the telescopic member, an L-shaped hinge rod (11) is hingedly connected to the hinge frame, one end of the hinge rod (11) away from the hinge frame is fixedly connected to the extension rod (10), and the two ends of the extension rod (10) are coaxially fixedly connected with a straight gear (12) and a first bevel gear (13).

7. The artificial intelligence-based ingredient weighing method according to claim 6, characterized in that, The discharging assembly comprises a stop block which is fixedly connected to the inner side wall of the buffer barrel (9) in an inclined manner, the stop block is rotatably connected to the extension rod (10), and a baffle (14) is fixedly connected to the extension rod (10).

8. The artificial intelligence-based ingredient weighing method according to claim 7, characterized in that, The guide assembly comprises a guide frame (16) which is fixedly connected to the bottom of the buffer barrel (9), the guide frame (16) is arranged in an inclined manner, and the guide frame (16) communicates with the inside of the mixing box (15).

9. The artificial intelligence-based ingredient weighing method according to claim 8, characterized in that, The mixing assembly comprises a second bevel gear (17) which is engaged with the first bevel gear (13), the second bevel gear (17) is coaxially fixedly connected with a rotating shaft (18), the rotating shaft (18) extends to the inside of the mixing box (15) by penetrating through the top wall of the mixing box (15) and is rotatably connected to the inner bottom wall of the mixing box (15), and the rotating shaft (18) is fixedly connected with stirring blades (19) along the circumferential surface of the rotating shaft (18).

10. The artificial intelligence-based ingredient weighing method according to claim 9, characterized in that, The dust removal assembly comprises a dust removal box (21) fixedly connected to the inner side wall of the treatment box (1), a dust removal plate (22) in sliding fit with the inner side wall of the dust removal box (21), a rack (23) fixedly connected to the dust removal plate (22), the rack (23) extending through the side wall of the dust removal box (21) to the outside of the dust removal box (21) and in sliding fit with the side wall of the dust removal box (21), and the rack (23) in meshing engagement with the straight gear (12); the dust removal box (21) is in communication with an air inlet one-way valve and an air outlet one-way valve, the air inlet one-way valve is used for guiding the gas to flow from the outside of the dust removal box (21) into the dust removal box (21), the air outlet one-way valve is fixedly connected and in communication with a gas conveying pipe, the gas conveying pipe is in communication with the inside of the mixing box (15) at the end away from the air outlet one-way valve, and the air outlet one-way valve is used for guiding the gas to flow from the inside of the dust removal box (21) to the inside of the gas conveying pipe.

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