An automatic dosing online tracking self-calibration control method and system

Abstract

The application discloses an automatic-dosing online tracking self-calibration control method and system, relates to the technical field of automation control, and comprises the following steps: selecting a stock bin coefficient according to the proportion of a material in a total amount of dosing; automatically calculating a discharging amount set value of the stock bin according to the stock bin coefficient; automatically adjusting the discharging amount of the dosing bin through a PLC controller; and reforming a discharging port of the stock bin by using a self-calibration method, and online tracking and calibrating the discharging of the dosing bin. The application controls the discharging proportion of each dosing bin by using automation, automatically calculates the discharging amount set value of the stock bin according to the stock bin coefficient, and uses the PLC feedback control combining the weight dosing method and the volume dosing method, so that the accuracy and long-term reliability of dosing are fundamentally improved, the poor accuracy of traditional manual dosing is solved, the running condition of a monitoring dosing electronic scale is monitored, and an alarm is given for reminding, the effect of checking and adjusting is checked, and the whole-time period monitoring of stable dosing accuracy is realized.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, and in particular to an online tracking and self-calibration control method and system for automatic batching. Background Technology

[0002] The batching system is the core part of pellet production, and the accuracy and reliability requirements for batching are very high. Generally, a pellet production line system contains multiple concentrate bins. Each bin has a belt electronic scale responsible for weighing. According to the proportioning requirements, the operator needs to calculate and input the total feed amount, select the bin to be fed and the feed amount of each type of ore in the control panel, and start the feeding equipment under each bin in sequence. The feeding equipment under each bin is controlled by a frequency converter to feed the material to the main batching belt according to the feed amount input by the operator, and the main batching belt sends it to the next process.

[0003] Currently, production control is mostly done manually by calculating and adjusting the proportions of each silo based on the ratio of each material and the total discharge amount. In the market and on the production site, pull-out belts are often used to directly control the discharge amount of concentrate powder from the silo. This is often done by adjusting the size of the silo gate and the belt speed, then verifying the discharge through a throwing disc, and then adjusting and calibrating the discharge amount. Alternatively, the material on the belt can be monitored and adjusted in real time. However, there are situations where the discharge fluctuates due to the deviation of the electronic scale.

[0004] Current technologies have many problems. When batching, the amount of material to be fed is calculated and entered manually. On the one hand, the calculation is tedious, time-consuming and labor-intensive. On the other hand, human error is easy to occur during the process of calculating and inputting the proportions, resulting in unnecessary errors. When using a pull-out belt, the fluctuations can easily occur and cannot be detected in time by controlling the outlet size and belt speed, affecting the accuracy of batching. When using an electronic scale for feedback adjustment, abnormal deviations in the electronic scale can affect the fluctuations in feeding, which is not conducive to stable batching and cannot effectively guarantee feeding according to the proportions. Summary of the Invention

[0005] In view of the problems existing in the current online tracking self-calibration control methods and systems for automatic batching, this invention is proposed.

[0006] Therefore, the purpose of this invention is to provide an online tracking and self-calibration control method and system for automatic batching, which can automatically calculate the set value of the feed amount of each batching bin when the batching feed fluctuation is large and the accuracy is low, and track it in real time using an online tracking and self-calibration method.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, embodiments of the present invention provide an online tracking and self-calibration control method for automatic batching, comprising: selecting a silo coefficient based on the proportion of the material in the total batching amount; automatically calculating a set value for the material discharge amount of the silo based on the silo coefficient; automatically adjusting the material discharge amount of the batching silo through a PLC controller; modifying the discharge port of the silo using a self-calibration method to perform online tracking and calibration of the material discharge from the batching silo.

[0009] As a preferred embodiment of the online tracking self-calibration control method for automatic batching described in this invention, the step of selecting the silo coefficient based on the proportion of the material in the total batching includes customizing pull-out belts and lower limiters for the discharge ports of each silo, and adding pull-out belt electronic scales and belt speed measuring devices.

[0010] As a preferred embodiment of the online tracking self-calibration control method for automatic batching described in this invention, the step of automatically calculating the feed quantity setpoint of the silo based on the silo coefficient includes using an automatic calculation model for batching that is written and created. The host computer automatically calculates the required feed quantity of each batching silo during production based on the proportion of the material in the total batching. The specific calculation steps are as follows:

[0011] The formula for calculating the material feed rate is:

[0012] Wj i =P1*W z

[0013] Among them, Wj i The calculated feed amount for the i-th batching bin is given by P1, where P1 is the mixing ratio and W is the weighting ratio. z Calculate the total value based on the material feed amount;

[0014] The formula for setting the feed rate of each batching bin is as follows:

[0015] W i =W z ×P i

[0016] Where i is the ingredient bin number, W i W is the set value for the feed rate of the i-th batching bin. z P represents the total conveying capacity of the batching process. i is the proportion of the ingredients in the i-th batching bin.

[0017] As a preferred embodiment of the online tracking self-calibration control method for automatic batching described in this invention, the step of automatically calculating the feed rate setpoint of the silo based on the silo coefficient further includes calculating the measured value of each batching silo using the volumetric batching method:

[0018] Wr i =A i ×B i ×Ci ×Vk i ×N i / (Nmax i ×V)×1000

[0019] Among them, Wr i Let A be the volumetric batching method measurement value of the i-th batching bin, and let A be the amount of material per meter of the batching conveyor belt in that bin. i Let B be the width of the discharge port of the i-th batching bin. i Let C be the height of the discharge port of the i-th batching hopper. i Let N be the bulk density of the material in the i-th batching bin. i Let Nmax be the rotational speed of the drive motor for the i-th batching silo. i Vk is the maximum speed of the drive motor of the i-th batching bin. i Let V be the speed coefficient of the pull-out belt of the i-th batching bin, and V be the speed of the main batching belt.

[0020] As a preferred embodiment of the online tracking self-calibration control method for automatic batching described in this invention, the automatic adjustment of the feeding amount of the batching bin by the PLC controller includes adjustment by frequency conversion speed regulation. The PLC calculates the feeding amount of each batching component according to the electronic volumetric batching method and performs feedback adjustment on the frequency converter.

[0021] As a preferred embodiment of the online tracking self-calibration control method for automatic batching described in this invention, the modification of the silo outlet using the self-calibration method includes analysis based on belt speed, material bulk density, and discharge volume.

[0022] As a preferred embodiment of the online tracking and self-calibration control method for automatic batching described in this invention, the online tracking and calibration of the material feeding from the batching silo includes using a PLC controller to compare the measured feeding amount of each batching pull-out belt scale with the volumetric calculated value. When the error Δe exceeds 10% of the feeding amount, the PLC triggers an alarm. The calibration difference calculation formula is as follows:

[0023] △e=Wz i -Wr i

[0024] Among them, Wz i The weight of the i-th batching bin is the feedback value of the pull-out conveyor belt metering, Δe is the amount of material per meter of the main conveyor belt in that bin, and Wr is the calculated value. i The metering feedback value Wz of the batching pull-out belt scale i The comparison value.

[0025] Secondly, embodiments of the present invention provide an online tracking and self-calibration control system for automatic batching, comprising: an automatic calculation module, which automatically calculates the set value of the material discharge amount of each silo based on the silo coefficient and assigns the value to each silo, and the silo discharges material according to the assigned set value; a control module, which automatically adjusts the material discharge amount of the batching silo through a PLC controller; and a tracking and calibration module, which modifies the outlet of the silo using a self-calibration method to perform online tracking and calibration of the material discharge of the batching silo.

[0026] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any step of the above-described online tracking self-calibration control method for automatic batching.

[0027] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the above-described online tracking self-calibration control method for automatic batching.

[0028] The beneficial effects of this invention are as follows: This invention adopts automated control of the feeding ratio of each batching bin, automatically calculates the set value of the feeding amount of the bin based on the bin coefficient, and uses PLC feedback control that combines weight batching method and volume batching method, fundamentally improving the accuracy and long-term reliability of batching. It solves the problems of poor accuracy and easy error in traditional manual batching, and the difficulty in verifying electronic scales, which leads to large long-term feeding deviation, low batching accuracy and unstable product quality, affecting output and quality and making it difficult to control. By monitoring the operation of the batching electronic scale and issuing alarm reminders, the effectiveness of the adjustment can be checked and adjusted, achieving full-time monitoring of stable batching accuracy. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. 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:

[0030] Figure 1 This is a schematic diagram of an online tracking self-calibration control method and system for automatic batching, provided as an embodiment of the present invention.

[0031] Figure 2 This is a control diagram of an electronic scale real-time monitoring system for an online tracking and self-calibration control method and system for automatic batching, provided as an embodiment of the present invention.

[0032] Figure 3This is a data transmission control diagram of an online tracking self-calibration control method and system for automatic batching, provided as an embodiment of the present invention.

[0033] Figure 4 This is an internal structural diagram of a computer device for an online tracking self-calibration control method and system for automatic batching, provided as an embodiment of the present invention. Detailed Implementation

[0034] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0035] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0036] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0037] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering 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.

[0038] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0039] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0040] Example 1

[0041] Reference Figures 1-3 This is the first embodiment of the present invention, which provides an online tracking self-calibration control method for automatic batching, comprising:

[0042] S1: Select the silo coefficient based on the proportion of the material in the total batching.

[0043] Among them, the selection of silo coefficients based on the proportion of materials in the total batching includes customizing pull-out belts and lower limiters for the discharge ports of each silo, and adding pull-out belt electronic scales and belt speed measuring devices.

[0044] Furthermore, a pull-out belt and lower limit switch are customized for the discharge port of the batching silo. Each silo requires a customized discharge port control device, typically including a pull-out belt and a lower limit switch. The lower limit switch ensures the pull-out belt stops at the appropriate position to prevent excessive or insufficient material flow. An electronic scale is added to the pull-out belt. A load cell must be installed at the bottom of the belt or other suitable location. The sensor measures the weight of the material on the belt and transmits this information to the control system to monitor the actual amount of material flowing out. A belt speed measuring device is added to measure the belt's rotational speed. A speed sensor must be installed in the belt drive section. The speed sensor measures the belt's rotational speed, allowing the calculation of the actual material flow rate.

[0045] Furthermore, the silo coefficient is a proportionality coefficient that represents the proportion of different materials in the total batching. For example, if there are two materials A and B, and their ratio is 2:3, then the silo coefficients can be set to 2 and 3 respectively to ensure the correct material outflow ratio. The silo coefficient is used in the control system to adjust the silo opening time and discharge speed to achieve the required ratio. Table 1 shows the overall data for the silo coefficient.

[0046] Table 1 Overall Data Table of Silo Coefficient

[0047] Material Name Mixing ratio Silo coefficient Material A 40％ 2 Material B 60％ 3

[0048] Material A accounts for 40% of the total ingredients. To maintain this proportion, a hopper coefficient of 2 was selected during the automatic batching process. This means that the discharge rate of material A is twice that of material B, ensuring that material A occupies the correct proportion in the final mixture. Material B accounts for 60% of the total ingredients. To maintain this proportion, a hopper coefficient of 3 was selected, ensuring that the discharge rate of material B is relatively fast, so that it occupies the correct proportion during the mixing process.

[0049] S2: Automatically calculates the set value of material discharge from the silo based on the silo coefficient.

[0050] The automatic calculation of the material discharge setpoint based on the material bin coefficient includes using an automatic calculation model for batching, which is developed and created. The host computer automatically calculates the required discharge amount for each batching bin during production based on the proportion of each material in the total batching. The specific calculation steps are as follows:

[0051] The formula for calculating the material feed rate is:

[0052] Wj i =P1*W z

[0053] Among them, Wj i The calculated feed amount for the i-th batching bin is given by P1, where P1 is the mixing ratio and W is the weighting ratio. z Calculate the total value based on the material feed amount;

[0054] The formula for setting the feed rate of each batching bin is as follows:

[0055] W i =W z ×P i

[0056] Where i is the ingredient bin number, W i W is the set value for the feed rate of the i-th batching bin. z P represents the total conveying capacity of the batching process. i is the proportion of the ingredients in the i-th batching bin.

[0057] Furthermore, in actual production, the host computer will perform calculations sequentially based on the proportion of each material and the total conveying volume of the batching. For each batching bin, the feeding volume calculation formula is first used to calculate the feeding volume value. Based on the proportion and the total conveying volume of the batching, the feeding volume setting value formula of the batching bin is used to calculate the feeding volume setting value. These calculations will determine the final feeding volume for each batching bin. The calculated feeding volume setting value will be transmitted to the control system to actually control the feeding process of each batching bin. The host computer will control the bin door, valve or other discharge device according to these setting values ​​to ensure accurate batching according to the calculation results.

[0058] Preferably, the automatic batching calculation model that is written and created can achieve automatic and accurate batching control during the production process. It will calculate the required amount of material to be fed into each batching bin based on the material ratio and the total batching conveying volume, and apply the calculation results to the actual production control process.

[0059] S2.1: The automatic calculation of the silo discharge setting based on the silo coefficient also includes the calculation of the measured values ​​of each batching silo using the volumetric batching method:

[0060] Wr i =A i ×B i ×C i ×Vk i ×N i / (Nmax i ×V)×1000

[0061] Among them, Wr i Let A be the volumetric batching method measurement value of the i-th batching bin, and let A be the amount of material per meter of the batching conveyor belt in that bin. i Let B be the width of the discharge port of the i-th batching bin. i Let C be the height of the discharge port of the i-th batching hopper. i Let N be the bulk density of the material in the i-th batching bin. i Let Nmax be the rotational speed of the drive motor for the i-th batching silo. i Vk is the maximum speed of the drive motor of the i-th batching bin. i Let V be the speed coefficient of the pull-out belt of the i-th batching bin, and V be the speed of the main batching belt.

[0062] Furthermore, the volumetric batching method is a method for calculating the amount of material dispensed from each batching bin. It takes into account multiple factors such as the physical properties of the material, the geometry of the bin opening, and the motor speed to ensure accurate calculations during the automatic batching process.

[0063] Specifically, the volumetric feeding method adds a pressure plate to the discharge port, sets a lower limit, adds counterweight to the pressure plate, and adds baffles on both sides of the discharge port. During daily feeding, it ensures that the cross-sectional area of ​​the material remains unchanged and that large debris can be discharged in time without damaging the conveyor belt. This ensures that the cross-sectional area of ​​the material at the discharge port remains basically unchanged. The feeding amount is calculated based on the speed of the pull-out conveyor belt and the bulk density of the material.

[0064] S3: Automatically adjusts the feeding amount of the batching bin via PLC controller.

[0065] The automatic adjustment of the feeding amount of the batching hopper by the PLC controller includes the use of frequency conversion speed regulation. The PLC adjusts the frequency converter based on the feeding amount of various ingredients calculated by the electronic volumetric batching method.

[0066] Furthermore, a variable frequency speed control system is adopted for control. The variable frequency speed control system includes a frequency converter and a variable frequency motor. The output frequency of the frequency converter is controlled by a PLC. The output frequency of the frequency converter controls the speed of the variable frequency motor. The speed of the variable frequency motor controls the speed of the feeding device. The PLC adjusts the frequency converter based on the feeding amount of each material calculated by the electronic belt scale or volumetric batching method until the feeding amount of each material reaches the set value, ensuring stable feeding under normal batching conditions.

[0067] S4: Modify the discharge port of the silo using a self-calibration method.

[0068] The modification of the silo's discharge port using a self-calibration method involves analyzing the belt speed, material bulk density, and discharge volume.

[0069] Furthermore, the material silo modification involves adding a lower limit to the discharge pressure plate, adding counterweights to the pressure plate, and adding baffles on both sides of the discharge port. This ensures that the discharge cross-sectional area remains unchanged during daily material feeding and that large debris can be discharged in a timely manner without damaging the conveyor belt, thereby ensuring that the material cross-sectional area at the discharge port remains basically unchanged.

[0070] Preferably, an intelligent batching program is developed, characterized by automatically calculating the material discharge amount from each silo based on the material ratio, confirming and issuing the set functions. Furthermore, a protection program is implemented during silo operation, setting upper and lower limits for silo speed to ensure the speed of the silo pull-out belt remains within a certain range. The developed dual-insurance silo discharge control program feeds back values ​​from an electronic scale and values ​​calculated using the volumetric batching method to the PLC control module. By comparing these values ​​with the set values, the PID controller adjusts the belt speed via a frequency converter, thereby stabilizing the material discharge amount. The control source can be arbitrarily selected between the electronic scale feedback value and the volumetric batching method calculation value, allowing for manual switching. This ensures uninterrupted automatic batching control even if either method malfunctions.

[0071] S4.1: Perform online tracking and calibration of material feeding from the batching hopper.

[0072] The online tracking and calibration of material feeding from the batching silos includes using a PLC controller to compare the measured feeding amount of each batching pull-out belt scale with the volumetric measurement value. When the error Δe exceeds 10% of the feeding amount, the PLC triggers an alarm. The calibration difference is calculated using the following formula:

[0073] △e=Wz i -Wr i

[0074] Among them, Wz i The weight of the i-th batching bin is the feedback value of the pull-out conveyor belt metering, Δe is the amount of material per meter of the main conveyor belt in that bin, and Wr is the calculated value.i The metering feedback value Wz of the batching pull-out belt scale i The comparison value.

[0075] Furthermore, the PLC module compares the calculated material feeding value Wri from the volumetric batching method with the metering feedback value Wzi from the pull-out belt scale. When the error Δe exceeds 10% of the set feeding amount, the PLC sends feedback to the alarm module, triggering an audible and visual alarm on the operation screen. This alerts the operator to check the electronic scale's feeding status on-site, address the problem, and make adjustments. Problems with both the weight-based and volumetric batching methods can be detected and adjusted promptly. Daily feeding adjustments use the weight-based batching method for feedback control. If an anomaly is detected in the weight-based batching method, manual switching to the volumetric batching method can be initiated to prevent long-term scale errors from causing uncontrolled proportions. The developed real-time monitoring program for the electronic scale monitors the batching scale in real time, triggering alarms when anomalies occur, guiding operators to promptly identify and address the issues on-site.

[0076] In a preferred embodiment, an online tracking and self-calibration control system for automatic batching includes an automatic calculation module that automatically calculates the set value of the material discharge amount for each silo based on the silo coefficient and assigns the value to each silo, allowing the silos to discharge material according to the assigned set value; a control module that automatically adjusts the material discharge amount of the batching silos via a PLC controller; and a tracking and calibration module that modifies the outlet of the silos using a self-calibration method to perform online tracking and calibration of the material discharge from the batching silos.

[0077] The above-mentioned unit modules can be embedded in the processor of the computer device in hardware form or independent of it, or they can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0078] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with external terminals. Wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be an LCD screen or an e-ink display screen. The input device of the computer device may be a touch layer covering the display screen, or buttons, a trackball, or a touchpad located on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0079] In summary, this invention employs automated control of the material dispensing ratio in each batching bin. It automatically calculates the set dispensing amount based on the bin coefficient and uses PLC feedback control combining weight and volume batching methods. This fundamentally improves the accuracy and long-term reliability of batching, solving the problems of poor accuracy and error in traditional manual batching, and the difficulty in verifying the electronic scales, leading to large long-term dispensing deviations, low batching accuracy, and unstable product quality, thus affecting output and quality and hindering effective control. By monitoring the operation of the batching electronic scales and issuing alarms, the effectiveness of adjustments can be checked, achieving real-time monitoring of stable batching accuracy.

[0080] Example 2

[0081] Reference Figures 1-3 This is the second embodiment of the present invention, which provides an online tracking and self-calibration control method for automatic batching. In order to verify the beneficial effects of the present invention, a simulation experiment is conducted for scientific demonstration.

[0082] By operating computers, switches, PLC control modules, PID control, motor frequency converters, and belt scale metering equipment, automatic batching control and online tracking and verification of electronic scales can be achieved.

[0083] Specific equipment and implementation details on site:

[0084] The operating computer is located in the on-site work area, used for inputting and executing proportioning data and monitoring material-related data. The switch is located in the internal network and is set up in the computer room. It is used for data transmission, interconnection, communication, and exchange between the operating computer and the PLC. The PLC control module is located in the internal network and is set up in the server in the computer room. It is used to receive and process the data transmitted from the switch and return the on-site data to the switch. The PID control is located in the field controller. It is used to receive the PLC execution data and combine it with the motor frequency converter and electronic scale data to realize the execution result. The motor frequency converter receives the PID execution data and adjusts the motor frequency. The electronic scale measures the real-time data of the batched materials and returns it to the PLC and PID control.

[0085] Table 2 shows the data from the automatic ingredient calculation model:

[0086] Table 2 Data Table of Automatic Ingredient Calculation Model

[0087]

[0088] Among them, Wj i Wz is the calculated value of the feed amount from the i-th batching bin. z Wr is the total value of the weighing flow feedback. z This is the total value of the flow rate feedback measured by the volumetric method. After the implementation of this invention, automatic batching is achieved. The operator only needs to input the total feed amount and the proportion of each material. The operation is simple, the batching execution error is 0, and the electronic scale for batching can be tracked and calibrated online. Deviations are detected and alarms are triggered in a timely manner, allowing operators and technicians to make timely adjustments and corrections. The batching accuracy reaches 98%.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An online tracking self-calibration control method for automatic batching, characterized in that: include, The silo coefficient is selected based on the proportion of each material in the total batch. The silo coefficient is a proportionality coefficient that represents the proportion of different materials in the total batch. The material discharge setpoint for each silo is automatically calculated based on the silo coefficient, including the calculated values ​​for each batching silo using the volumetric batching method: Wr i =A i ×B i ×C i ×Vk i ×N i / (Nmax i ×V)×1000 Among them, Wr i Let A be the volumetric batching method measurement value of the i-th batching bin, and let A be the amount of material per meter of the batching conveyor belt in that batching bin. i Let B be the width of the discharge port of the i-th batching bin. i Let C be the height of the discharge port of the i-th batching hopper. i Let N be the bulk density of the material in the i-th batching bin. i Let Nmax be the rotational speed of the drive motor for the i-th batching silo. i Vk is the maximum speed of the drive motor of the i-th batching bin. i V is the speed coefficient of the pull-out belt of the i-th batching bin, and V is the speed of the main batching belt; The feeding amount of the batching hopper is automatically adjusted by the PLC controller; Online tracking calibration of material feeding in the batching silos is performed using a self-calibration method. This method combines weighing and volumetric batching methods for comparative calibration. Specifically, a PLC controller compares the measured material feeding values ​​of each batching pull-out belt scale with the calculated volumetric values. When the error Δe exceeds the material feeding threshold, the PLC triggers an alarm. The calibration difference is calculated using the following formula: △e=Wz i -Wr i Among them, Wz i The weight of the i-th batching bin is the feedback value of the pull-out conveyor belt metering, Δe is the amount of material per meter of the main conveyor belt in that bin, and Wr is the calculated value. i The metering feedback value Wz of the batching pull-out belt scale i The comparison value.

2. The online tracking self-calibration control method for automatic batching as described in claim 1, characterized in that: The selection of silo coefficients based on the proportion of materials in the total batching includes customizing pull-out belts and lower limiters for the discharge ports of each silo, and adding pull-out belt electronic scales and belt speed measuring devices.

3. The online tracking self-calibration control method for automatic batching as described in claim 2, characterized in that: The automatic calculation of the material discharge setpoint based on the material bin coefficient includes using an automatic calculation model for batching, which is developed and created. The host computer automatically calculates the required discharge amount for each batching bin during production based on the proportion of each material in the total batching. The specific calculation steps are as follows: The formula for calculating the material feed rate is: Wj i =P1*W z Among them, Wj i The calculated feed amount for the i-th batching bin is given by P1, where P1 is the mixing ratio and W is the weighting ratio. z Calculate the total value based on the material feed amount; The formula for setting the feed rate of each batching bin is as follows: IN i =In z ×P i Where i is the ingredient bin number, W i W is the set value for the feed rate of the i-th batching bin. z P represents the total conveying capacity of the batching process. i is the proportion of the ingredients in the i-th batching bin.

4. The online tracking self-calibration control method for automatic batching as described in claim 3, characterized in that: The automatic adjustment of the feeding amount of the batching hopper by the PLC controller includes the use of frequency conversion speed regulation. The PLC calculates the feeding amount of each batching material according to the volumetric batching method and makes feedback adjustments to the frequency converter.

5. An online tracking and self-calibration control system for automatic batching, based on the online tracking and self-calibration control method for automatic batching as described in any one of claims 1 to 4, characterized in that: include, The automatic calculation module automatically calculates the set value of the material discharge amount of each silo based on the silo coefficient and assigns it to each silo. The silos then discharge material according to the assigned set value. The control module automatically adjusts the feeding amount of the batching bin through a PLC controller; The tracking and calibration module uses a self-calibration method to perform online tracking and calibration of the material feeding from the batching bin.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the online tracking self-calibration control method for automatic batching as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the online tracking self-calibration control method for automatic batching as described in any one of claims 1 to 4.

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