Material conveying method of material conveying device

Abstract

The invention discloses a material conveying method of a material conveying device, which comprises the following steps: S1, a material state sensing step: the material state sensing step comprises a material state sensing module and a detection module, and physical state information of conveyed materials is acquired in real time through the detection module arranged on a conveying path; according to the material conveying method of the material conveying device, richer input dimensions are provided for dynamic control, intelligent recognition of material postures, types and surface defects is achieved, the real state of the materials is judged cooperatively, the accuracy, reliability and robustness of a sensing system are improved, complex environment interference is effectively dealt with, and then the material conveying method has the advantages of being high in practicability and easy to popularize. The algorithm can predictively adjust the speed, so that the overall line body efficiency is optimized, not only local deviation is solved, and secondly, the system can actively control a local jacking and shunting mechanism to move problematic materials out of a main line. The non-stop fault prevention is realized, and the reliability and efficiency of the continuous operation of the system are obviously improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of material conveying, in particular to a material conveying method of a material conveying device. BACKGROUND

[0002] In modern automated production, logistics sorting and packaging assembly lines, material conveying devices are the core equipment for achieving efficient and continuous operation. The core task is to stably and accurately convey materials (such as boxes, parts, packages, etc.) from the starting point to the end point according to the predetermined rhythm and path. Traditional material conveying methods usually rely on preset fixed procedures or simple logic control based on a single sensor.

[0003] With the improvement of industrial automation level, the intelligentization requirement of the conveying process is also higher and higher. For example, on the flexible production line, different specifications and types of materials need to be handled; in the high-speed sorting system, the spacing and posture of the materials need to be accurately controlled; and in the conveying of fragile goods, collision and jam need to be avoided. These requirements make it difficult for traditional methods that can only perform "start-stop" or constant speed conveying to meet complex application scenarios.

[0004] At present, the common material conveying methods mainly have the following shortcomings: first, the control mode is relatively rigid, and cannot be dynamically adjusted according to the real-time state of the material (such as position deviation, incorrect posture, abnormal spacing), resulting in low conveying efficiency or frequent manual intervention. Second, there is a lack of effective prediction and correction mechanism, and when there is a risk of material stacking, jamming or path conflict, it is often only possible to stop after the fault occurs, affecting the overall production efficiency. Finally, the multi-sensor information is not fully utilized, the sensing dimension is single, and it is difficult to make a comprehensive and accurate judgment on the material state, which limits the development of the conveying system to a higher intelligent level. SUMMARY

[0005] This section aims to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, abstract and title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0006] 1. Technical problems to be solved: In order to solve the above-mentioned problems existing in the prior art, the control mode thereof is relatively rigid, cannot be dynamically adjusted according to the real-time state (such as position deviation, incorrect posture, abnormal spacing) of the material, leads to low conveying efficiency or frequent manual intervention. Secondly, there is a lack of effective prediction and deviation correction mechanism, when material stacking, blockage risk or path conflict occurs, often only stop processing after the fault occurs, affecting the overall production efficiency. Finally, the multi-sensor information is not fully utilized, the sensing dimension is single, it is difficult to make a comprehensive and accurate judgment on the material state, which limits the development of the conveying system to a higher intelligent level, and the present application is proposed.

[0007] Therefore, the purpose of the present application is to provide a material conveying method of a material conveying device, which provides more rich input dimensions for dynamic control, realizes intelligent identification of the material posture, type and surface defects, cooperatively judges the real state of the material, improves the accuracy, reliability and robustness of the sensing system, effectively deals with complex environmental interference, secondly, the algorithm can predictively adjust the speed, thereby optimizing the overall line efficiency, rather than only solving local deviation, and thirdly, the system can actively control the local jacking and shunting mechanism to move the problem material out of the main line. Non-stop fault prevention is realized, which significantly improves the reliability and efficiency of continuous operation of the system.

[0008] 2. Technical solution: In order to solve the above technical problems, according to one aspect of the present application, the present application provides the following technical solution: Comprising the following steps: S1, material state sensing step: the material state sensing step comprises a material state sensing module and a detection module, the physical state information of the conveyed material is obtained in real time through the detection module arranged on the conveying path, and the material state sensing module is electrically connected with a visual detection module, a motion parameter acquisition module and a sensor module; S2, conveying parameter decision step: the conveying parameter decision step comprises a conveying parameter decision step module, based on the physical state information, according to a preset control algorithm, dynamically generates an adjustment instruction of the conveying device; S3, conveying execution and deviation correction step: the conveying execution and deviation correction step comprises a conveying execution and deviation correction step module, a conveying device, a driving module, a flexible deviation correction mechanism, a local jacking and shunting mechanism, according to the adjustment instruction of the conveying execution and deviation correction step, the driving module of the conveying device is controlled to execute the action, and dynamic deviation correction is performed when the material state deviates from the expectation.

[0009] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S1, the motion parameter acquisition module includes a photoelectric sensor and an encoder, and the motion parameter acquisition module is electrically connected to a physical state information module, which includes the position of the material, the conveying speed and the distance between adjacent materials.

[0010] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, step S1 further includes: the visual inspection module includes an image acquisition device and a data comparison module, the image acquisition device acquires image information of the material, the visual inspection module is electrically connected to an image information module, and the image information module is used to identify the material posture, material type or surface defects.

[0011] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S1, the sensor module includes a data acquisition module and a sensor management module, and the sensor module is electrically connected in series with a data aggregation module. The data aggregation module includes a weighing sensor, a vision sensor and an ultrasonic sensor, and the information from different types of sensors can be used to collaboratively determine the true state of the material.

[0012] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S2, the preset control algorithm is a PID control algorithm, which is used to stabilize the actual speed or spacing of the material at a preset value.

[0013] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S2, the control algorithm is a predictive speed regulation algorithm based on historical material status data and production cycle requirements to optimize the overall line efficiency.

[0014] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S2, the adjustment instruction includes an instruction to dynamically allocate different priority paths or exits for different materials.

[0015] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S3, the driving module is a drive motor, and the conveying speed is controlled by adjusting the speed of the drive motor or by starting and stopping it.

[0016] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S3, when a material posture deviation is detected, a flexible correction mechanism installed on the side of the conveying path is controlled to perform non-rigid contact correction of the material.

[0017] In a preferred embodiment of the material conveying method of the material conveying device of the present invention, in step S3, before a potential blockage occurs, the local lifting and diversion mechanism is controlled to temporarily remove the problematic material from the main conveying line.

[0018] 3. Beneficial effects: Compared with the prior art, the beneficial effects of the present invention are: The material conveying method of this type of material conveying device: 1. Material state perception: It not only obtains the material position, but also its conveying speed and spacing in real time, providing richer input dimensions for dynamic control. The introduced visual detection module and multiple different types of sensor structures realize intelligent recognition of material posture, type and surface defects, laying the foundation for fine processing. Moreover, it collaboratively judges the true state of the material, which greatly improves the accuracy, reliability and robustness of the perception system and effectively copes with complex environmental interference. 2. Building upon the stable regulation achieved by the classic PID control algorithm, a predictive speed control algorithm based on historical data and production cycle time is further employed. This algorithm can proactively adjust the speed to optimize overall line efficiency, rather than merely addressing local deviations. Decision commands can dynamically allocate different priority paths or exits for different materials, achieving flexible production and intelligent sorting. This adapts to the multi-variety, small-batch needs of modern production lines. Furthermore, when material posture deviation is detected, a flexible correction mechanism is controlled for non-rigid contact guidance. This method avoids material damage that may be caused by traditional rigid baffles or forced push rods, making it particularly suitable for fragile, precision, or high-surface-quality materials. Moreover, before potential jamming occurs, the system can proactively control local lifting and diversion mechanisms to remove problematic materials from the main line. This achieves fault prevention without stopping the system, significantly improving the reliability and efficiency of continuous system operation. 3. When a material posture deviation is detected, the flexible correction mechanism is controlled to perform non-rigid contact guidance. This method avoids material damage that may be caused by traditional rigid baffles or forced push rods, and is particularly suitable for fragile, precision, or high-surface-quality materials. Furthermore, before potential jamming occurs, the system can proactively control the local lifting and diversion mechanisms to remove the problematic material from the main line. This achieves fault prevention without stopping the system, significantly improving the reliability and efficiency of continuous system operation. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and detailed embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1This is a schematic diagram of the overall framework of a material conveying method of a material conveying device according to the present invention; Figure 2 This is a schematic diagram of the material state sensing of a material conveying method of a material conveying device according to the present invention; Figure 3 This is a schematic diagram of the visual inspection module of a material conveying method of a material conveying device according to the present invention; Figure 4 This is a schematic diagram of the motion parameter acquisition module of the material conveying method of the material conveying device of the present invention; Figure 5 This is a schematic diagram of the sensor module of a material conveying method of a material conveying device according to the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0021] This invention is described in detail with reference to the schematic diagrams. When describing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not according to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0022] The orientation or positional relationship indicated in the terminology is based on the orientation or positional relationship shown in the accompanying drawings and is only for the convenience of describing the invention and simplifying the description, and is not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention.

[0023] The term "connection method" should be interpreted broadly. For example, "connection" 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 an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] The embodiments of the present invention will now be described in further detail with reference to the accompanying drawings.

[0025] This invention provides an overall structural schematic diagram of an embodiment of a material conveying method for a material conveying device, comprising: Please see Figures 1-5 The material conveying method of the material conveying device of this embodiment includes the following steps: S1. Material State Sensing Step: The material state sensing step includes a material state sensing module and a detection module. The detection module, which is set on the conveying path, acquires the physical state information of the conveyed material in real time. The material state sensing module is electrically connected in series with a vision detection module, a motion parameter acquisition module, and a sensor module. S2. Conveying parameter decision-making step: The conveying parameter decision-making step includes a conveying parameter decision-making step module, which dynamically generates adjustment instructions for the conveying device based on physical state information and a preset control algorithm; S3. Conveying Execution and Correction Steps: The conveying execution and correction steps include the conveying execution and correction step module, the conveying device, the drive module, the flexible correction mechanism, and the local lifting and diversion mechanism. According to the adjustment instructions of the conveying execution and correction steps, the drive module of the conveying device is controlled to perform actions, and dynamic correction is performed when the material state deviates from the expectation. This method forms a closed-loop control process of "perception-decision-execution-feedback". First, S1 collects real-time data such as material position, posture, spacing, or blockage; then, S2, the core algorithm analyzes this data to determine whether the current conveying state is optimal and calculates the required adjustment (such as speed, spacing); finally, S3 drives the actuators such as motors, cylinders, or diverters to make precise adjustments to ensure continuous, stable, and orderly conveying. The detection module can be an image analysis system; in step S1, the motion parameter acquisition module includes photoelectric sensors and encoders, and the motion parameter acquisition module is electrically connected to the physical state information module. The physical state information module represents the logical collective term for the initially integrated data set output from the entire "material state sensing step (S1)". It gathers information from different sensing channels, specifically including: The position, conveying speed, and spacing between adjacent materials are obtained from the motion parameter acquisition module; Information on material orientation, material type, and surface defects from the vision inspection module; Other collaborative judgment information from the sensor module after fusion processing, such as determining whether it is hollow by weight and volume; the output of this module is the direct input basis for the algorithm analysis in step S2 "delivery parameter decision step"; The physical state information module, including the material's position, conveying speed, and distance between adjacent materials, acquires basic motion parameters using conventional devices such as photoelectric sensors and encoders. The aim is to achieve basic automated monitoring of the process. Photoelectric sensors, including through-beam, diffuse reflection, and slotted photoelectric sensors, detect the presence (absence) of materials and the moment they arrive at / pass through a specific position by emitting and receiving / reflecting light beams, providing discrete, highly reliable position trigger signals. They act as the "metronome" of the entire sensing system, providing a time reference for other continuous measurements. Encoders, specifically incremental encoders, are directly mounted on the drive motor shaft or conveyor rollers, converting the rotation angle of the motor or conveyor belt into pulse signals. This allows for precise measurement of the real-time operating speed and cumulative displacement of the conveyor line, providing continuous and accurate linear speed information. Combined with the trigger signals from the photoelectric sensors, the actual speed of the materials and the precise distance (spacing) between adjacent materials can be accurately calculated.

[0026] It is worth noting that, specifically, step S1 also includes: the visual inspection module includes an image acquisition device and a data comparison module. The image acquisition device acquires image information of the material, and the visual inspection module is electrically connected to the image information module. The image information module is used to identify the material posture, material type or surface defects. The image acquisition unit is the hardware acquisition component of the vision inspection module. Specifically, it typically consists of an industrial camera (CCD / CMOS), a lens, and a matching light source; its physical entity is one of the inspection modules "set on the conveyor path." Its function is to perform specific image acquisition actions, capturing static or dynamic images of materials on the conveyor line according to control commands or trigger signals (such as from photoelectric sensors), and transmitting these raw image data to the data comparison module for processing. The image information module represents the structured data set processed and output by the vision inspection module. It is not a standalone hardware component, but rather a logical definition of the information content produced by the vision system. Specifically, it includes the raw image data captured by the "image acquisition unit," and the recognition results obtained after analysis by the "data comparison module," such as the material's contour features, orientation angles, type identifiers, and the location and category of surface defects. This information is an important component of the "physical state information." The data comparison module is one of the core processing units of the vision inspection module. Its function is to receive material image information (i.e., the data contained in the "image information module") acquired by an image acquisition device (such as an industrial camera). Subsequently, it compares, analyzes, and calculates the real-time image information with standard material image templates, feature libraries, or preset rules pre-stored in the system. Through this comparison, it achieves specific functions such as "identifying material posture, material type, or surface defects," and outputs the identification results, such as posture deviation or the presence of scratches, as "part of the physical state information" to subsequent decision-making steps.

[0027] Next, specifically, in step S1, the sensor module includes a data acquisition module and a sensor management module. The sensor module is electrically connected in series with a data aggregation module, which refers to a hardware assembly of various types of sensors. The data aggregation module includes weighing sensors, vision sensors, and ultrasonic sensors. Information from different types of sensors can be collaboratively used to determine the true state of materials. These sensors include photoelectric sensors, weighing sensors, vision sensors, and ultrasonic sensors, incorporating advanced sensing technologies such as machine vision and multi-sensor fusion. The aim is to achieve more complex and higher-precision state recognition (such as whether the material is skewed or of the wrong type), providing richer input for subsequent intelligent decision-making, which is the foundation for achieving advanced automation. The sensor management module is the coordination and control unit within the sensor module. Since the system integrates various types of sensors, including load cells, vision sensors, and ultrasonic sensors, this module is responsible for the unified scheduling and management of the sampling periods, triggering conditions, and operating states of these heterogeneous sensors. For example, when the photoelectric sensor detects the arrival of material, the sensor management module can simultaneously trigger the vision sensor to take a picture and the load cell to read the value, ensuring that the multi-source data is aligned in time and providing a time-consistent data foundation for achieving "collaborative judgment of the true state of the material." The data acquisition module serves as the data interface unit for the sensor module. Its function is to directly connect to various physical sensor hardware, reading and collecting raw measurement signals or data packets in real time from photoelectric sensors, encoders, load cells, vision sensors, ultrasonic sensors, etc., such as pulse counts, voltage values, image streams, and distance values. It performs preliminary formatting or buffering of the acquired raw data before transmitting it to the sensor management module for coordination, or to the data aggregation module for subsequent fusion processing.

[0028] A vision sensor refers to an industrial camera (CCD / CMOS) combined with a light source to form a machine vision system. This system captures images of materials and uses image processing algorithms to identify the material's contour, orientation (whether it is skewed), type, color, or surface defects, providing rich two-dimensional spatial and feature information. This is a prerequisite for achieving "intelligent recognition" and "precise correction."

[0029] Load cells refer to strain gauge load cells or piezoelectric sensors, installed below a specific section of a conveyor line to measure the weight of individual materials or monitor the overall load. They are used for weight-based sorting, checkweighing, or preventing overload jamming. When combined with photoelectric sensors, they can be linked to "which material" corresponds to "how much".

[0030] Ultrasonic sensors, including ultrasonic ranging sensors and Time-of-Flight (TOF) laser ranging sensors, emit sound waves or lasers towards the surface of materials and measure the height, number of stacked layers, or volume of the material surface by receiving the echo time. They are used to process irregularly shaped and stackable materials (such as boxes and bags). They can determine whether materials exceed height or limits, or be fused with visual information to construct simple three-dimensional information.

[0031] Meanwhile, specifically in step S2, the preset control algorithm is a PID control algorithm, which is used to stabilize the actual speed or spacing of the material at a preset value. It adopts classical control theory and aims to achieve stable, zero steady-state error conventional regulation.

[0032] Meanwhile, specifically in step S2, the control algorithm is a predictive speed regulation algorithm based on historical material status data and production cycle requirements to optimize the overall line efficiency.

[0033] Next, specifically in step S2, the adjustment instructions include dynamically assigning different priority paths or exits to different materials, introducing predictive control, fuzzy logic, or AI scheduling algorithms. The aim is to make decisions from the perspective of overall optimization and flexible response, rather than just local stability, thereby achieving higher-level goals such as energy saving, efficiency improvement, and personalized flow diversion.

[0034] Secondly, specifically in step S3, the drive module is a drive motor. By adjusting the speed of the drive motor or starting and stopping it, the conveying speed is controlled. This is the most basic execution method, and its purpose is to achieve continuous variable speed control.

[0035] Subsequently, specifically in step S3, when a material posture deviation is detected, the flexible correction mechanism installed on the side of the conveying path is controlled to perform non-rigid contact correction of the material.

[0036] Finally, specifically in step S3, before a potential blockage occurs, the local lifting and diversion mechanisms are controlled to temporarily remove the problematic material from the main conveyor line. Novel actuators (such as airbags and adaptive push rods) and preventative intervention strategies are designed. The aim is to solve the problems of attitude correction and fault pre-handling without damaging the material or interrupting the entire production line, thereby significantly improving system reliability and product yield.

[0037] Example 1 Step S1: Material Status Sensing Step. The purpose of this step is to acquire the physical status information of the conveyed material in real time and from multiple dimensions through various detection modules set up along the conveying path. For example... Figure 2 As shown, this is the data foundation for realizing intelligent control; First, acquire basic motion parameter information. This includes the real-time position of the material on the conveyor line, the instantaneous conveying speed, and the distance between adjacent materials. Specifically, this can be achieved through... Figure 4 The module shown implements, for example, the discrete position signals of material arrival by arranging photoelectric sensors at key points of the conveyor line; the continuous linear speed of the conveyor belt is obtained by a rotary encoder mounted on the drive shaft, and the actual speed and spacing of each material can be calculated by combining the position signals. Secondly, to further achieve refined management, this step also includes acquiring richer image information through a visual inspection module. For example... Figure 3 As shown, an industrial camera is used to photograph materials, and image processing algorithms are used to identify the material's posture (such as whether it has rotated or tilted), type (such as distinguishing different models of packaging boxes), or surface defects (such as damage or stains). As claimed in claim 4 and Figure 5 As shown, to improve the robustness and accuracy of the sensing system, this step integrates information from multiple different types of sensors. For example, the trigger signal from the photoelectric sensor, the speed signal from the encoder, and the posture recognition result from the vision sensor are timestamped and correlated. When the photoelectric sensor detects the arrival of material, it triggers the vision system to take a picture, while simultaneously recording the encoder's displacement value at that moment. Through this fusion, the true state of the material can be determined collaboratively. For example, by combining the posture judgment from the vision system with the displacement change of the encoder, it is possible to more accurately predict whether the material will become stuck due to skewness, overcoming the shortcomings of a single sensor being susceptible to interference or providing incomplete information. Step S2: Conveying parameter decision step. This step is based on the physical state information obtained in step S1. The control unit (such as PLC or industrial PC) makes a decision according to the preset control algorithm and dynamically generates instructions for adjusting the conveying device. It employs the classic PID control algorithm. This algorithm compares the actual speed or distance of the material with a preset target value, and generates adjustment commands through proportional, integral, and derivative operations, aiming to stabilize the system at the preset operating conditions; A predictive speed control algorithm is employed. This algorithm not only considers the current state but also analyzes historical data on material conditions and the cycle time requirements of the entire production line. For example, if the system learns from historical data that a certain type of material is prone to deceleration at bends, it will slightly increase the speed before entering the bend to compensate for the expected speed loss, thereby optimizing the overall line efficiency and ensuring a stable production cycle time. The adjustment instructions generated by the decision-making process can include dynamically assigning different priority paths or exits to different materials. For example, the vision system identifies that material A needs to be sent to exit 1 and material B needs to be sent to exit 2. The decision module will intelligently calculate and issue the optimal timing instruction for the diverter to operate based on the busyness of each exit, the material spacing, and the main line speed, in order to avoid collisions or congestion at the diversion port. Step S3: Conveying execution and correction step. This step drives the actuator (drive module) of the conveying device to move according to the adjustment command generated in step S2, and performs real-time and dynamic correction when the material state deviates from the expectation. The drive module is a drive motor. The speed of the main conveyor line is controlled by adjusting the speed of the drive motor or starting and stopping it. This is a direct way to respond to speed adjustment commands in the decision-making process. When the vision detection module detects that the material is tilted or misaligned during the conveying process, the control unit immediately activates a flexible correction mechanism (e.g., a cylinder-driven push rod with a silicone pad at the end, or an inflatable flexible airbag) installed on the side of the conveying path. This mechanism guides the material in a non-rigid contact manner (e.g., gently pushing against the side of the material), avoiding material damage that may be caused by rigid impacts, and is particularly suitable for fragile or fine-surfaced materials. This step includes preventative intervention. When the decision module predicts a potential blockage risk based on fused sensing information (such as two materials being too close together and about to enter a narrow passage), it will control a local lifting and diversion mechanism (such as a section of liftable conveyor belt or a fast-acting lever) to temporarily remove one of the "problem materials" from the main conveyor line before the fault occurs. Once the risk is eliminated, the material will be returned, thus achieving fault prevention without shutting down the system.

[0038] Although the present invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the disclosed embodiments can be combined with each other in any manner. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A material conveying method of a material conveying device, characterized in that, Includes the following steps: S1. Material state sensing step: The material state sensing step includes a material state sensing module and a detection module. The detection module, which is set on the conveying path, acquires the physical state information of the conveyed material in real time. The material state sensing module is electrically connected in series with a vision detection module, a motion parameter acquisition module and a sensor module. S2. Conveying parameter decision-making step: The conveying parameter decision-making step includes a conveying parameter decision-making step module, which dynamically generates adjustment instructions for the conveying device based on the physical state information and according to a preset control algorithm. S3. Conveying execution and correction steps: The conveying execution and correction steps include a conveying execution and correction step module, a conveying device, a drive module, a flexible correction mechanism, a local lifting and diversion mechanism. According to the adjustment instructions of the conveying execution and correction steps, the drive module of the conveying device is controlled to perform actions, and dynamic correction is performed when the material state deviates from the expectation.

2. The material conveying method of the material conveying device according to claim 1, characterized in that, In step S1, the motion parameter acquisition module includes a photoelectric sensor and an encoder. The motion parameter acquisition module is electrically connected to a physical state information module, which includes the position of the material, the conveying speed, and the distance between adjacent materials.

3. The material conveying method of the material conveying device according to claim 2, characterized in that, Step S1 further includes: the visual inspection module includes an image acquisition device and a data comparison module. The image acquisition device acquires image information of the material. The visual inspection module is electrically connected to an image information module and uses the image information module to identify the material posture, material type or surface defects.

4. The material conveying method of the material conveying device according to claim 3, characterized in that, In step S1, the sensor module includes a data acquisition module and a sensor management module. The sensor module is electrically connected in series with a data aggregation module, which includes a weighing sensor, a vision sensor, and an ultrasonic sensor. Information from different types of sensors can be used to collaboratively determine the true state of the material.

5. The material conveying method of the material conveying device according to claim 4, characterized in that, In step S2, the preset control algorithm is a PID control algorithm, which is used to stabilize the actual speed or spacing of the material at a preset value.

6. The material conveying method of the material conveying device according to claim 5, characterized in that, In step S2, the control algorithm is a predictive speed regulation algorithm based on historical material status data and production cycle requirements to optimize the overall line efficiency.

7. The material conveying method of the material conveying device according to claim 6, characterized in that, In step S2, the adjustment instructions include instructions to dynamically assign different priority paths or exits to different materials.

8. The material conveying method of the material conveying device according to claim 7, characterized in that, In step S3, the drive module is a drive motor, and the conveying speed is controlled by adjusting the speed of the drive motor or by starting and stopping it.

9. The material conveying method of the material conveying device according to claim 8, characterized in that, In step S3, when a material posture deviation is detected, the flexible correction mechanism installed on the side of the conveying path is controlled to perform non-rigid contact correction of the material.

10. The material conveying method of the material conveying device according to claim 9, characterized in that, In step S3, before a potential blockage occurs, the local lifting and diversion mechanism is controlled to temporarily remove the problematic material from the main conveyor line.

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