Control system and method for feeding flaky materials

Abstract

The invention discloses a control system and method for feeding flaky materials, and relates to the technical field of material feeding. The control system for sheet material putting comprises a putting environment judgment module, a putting monitoring judgment module and a putting optimization judgment module. According to the method, the putting environment coincidence degree of the to-be-put food type flaky materials is evaluated according to the material putting related data to obtain the putting environment evaluation value so as to judge whether the putting process monitoring is executed or not, then the putting process monitoring effect is evaluated, and whether the material putting optimization is executed or not is judged; finally, the material putting optimization effect is evaluated to obtain a putting optimization evaluation value, whether putting pause is prompted or not is judged based on the putting optimization evaluation value, the regular food type flaky material putting control precision is improved, and the problem that in the prior art, the regular food type flaky material putting control precision is not high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of material delivery, and in particular to a control system and method for delivering sheet materials. Background Art

[0002] Automation and precision delivery technologies are becoming increasingly important in the food industry. With the diversification of consumer demand and the continuous improvement of food production efficiency, accurate, fast, and efficient material delivery systems play a vital role in modern food production lines. This is particularly true in food packaging, sorting, batching, coating, and other processes, where precise delivery of flaky materials is crucial. Modern food production lines are increasingly incorporating intelligent and automated equipment. Automated control systems can optimize production processes, reduce human error, and improve production efficiency. Furthermore, intelligent control systems, through data analysis and real-time monitoring, make production processes more precise and flexible.

[0003] Existing flaky material delivery control systems typically combine a variety of mechanical technologies, sensor technologies, and intelligent control algorithms to achieve precise delivery of flaky materials. Specifically, sensors or cameras detect delivery accuracy and material status. Common control algorithms (such as fuzzy control and intelligent algorithms) are typically built into the system to adjust delivery speed and quantity based on real-time feedback, ensuring a precise and stable delivery process and achieving efficient and accurate material delivery. With the continuous advancement of technology, future delivery control systems will continue to improve in terms of accuracy and intelligence to meet increasingly complex and personalized production needs.

[0004] For example, the invention patent announcement with announcement number: CN103894100B discloses an automatic control method and device for material feeding into a stirring pot, comprising: receiving a material name and a set material feeding amount; continuously opening a material valve leading to the stirring pot to feed the material into the stirring pot; continuously detecting the difference between the actual material feeding amount and the set material feeding amount; when the difference reaches a precise feeding start threshold, intermittently opening the material valve to continue feeding the material into the stirring pot; and when the difference reaches an end feeding start threshold, closing the material valve to end feeding the material into the stirring pot.

[0005] For example, the invention patent announcement with announcement number: CN107875965B discloses a method and device for controlling material delivery, including: obtaining a target weight of the material to be delivered; controlling a motor to deliver the material according to the target weight and controlling a weighing device to weigh the delivered material; when the weight of the remaining material to be delivered is not greater than the first weight, controlling the motor to deliver the second weight of material each time, and controlling the motor to stop running after each delivery of the second weight of material; when the motor stops running, controlling the weighing device to weigh the weight of the delivered material until the weight of the delivered material reaches the target weight, and controlling the motor to stop delivering the material.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] Flake materials (such as cookie sheets, chocolate chips, and cereal flakes) often have irregular shapes and sizes. Furthermore, the weight of different flake materials can vary significantly, resulting in varying pressures or resistance during the delivery process. For example, thinner sheets are more susceptible to disturbances from airflow or mechanical devices. Furthermore, on high-speed production lines, monitoring equipment (such as sensors) can suffer from inaccuracy or feedback delays when monitoring material delivery. This can lead to the gradual accumulation of delivery deviations and further deterioration in the accuracy of flake material delivery control.

[0008] Another thing to consider is that environmental conditions (such as high temperature and low humidity) will change the physical properties of sheet materials. For example, a humid environment may cause the surface adhesion of the material to increase, resulting in stacking or adhesion to the equipment, which in turn affects the uniform delivery of the material. There is also the problem of low control accuracy for the delivery of regular food sheet materials. Summary of the Invention

[0009] The embodiments of the present application provide a control system and method for delivering sheet materials, thereby solving the problem of low control accuracy in delivering regular food sheet materials in the prior art and improving the control accuracy in delivering regular food sheet materials.

[0010] An embodiment of the present application provides a control system for the delivery of flaky materials, comprising: a delivery environment judgment module, a delivery monitoring judgment module, and a delivery optimization judgment module; the delivery environment judgment module is used to evaluate the degree of compliance of the delivery environment of the food flaky materials to be delivered based on material delivery-related data to obtain a delivery environment evaluation value, and judge whether to perform delivery process monitoring based on the delivery environment evaluation value, and the delivery environment evaluation value is used to quantitatively evaluate the degree of compliance of the delivery environment of the food flaky materials to be delivered; the delivery monitoring judgment module is used to evaluate the delivery process monitoring effect to obtain a delivery quality monitoring evaluation value if delivery process monitoring is performed, and judge whether to perform material delivery optimization based on the delivery quality monitoring evaluation value, and the delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of material quality in the delivery process of the food flaky materials to be delivered; the delivery optimization judgment module is used to evaluate the material delivery optimization effect to obtain a delivery optimization evaluation value if material delivery optimization is performed, and judge whether to prompt to suspend delivery based on the delivery optimization evaluation value, and the delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food flaky materials to be delivered.

[0011] Furthermore, the specific steps of evaluating the compliance of the delivery environment of the food-like flaky material to be delivered based on the material delivery related data to obtain the delivery environment evaluation value are as follows: obtaining the material delivery environment related data within a preset time interval, and obtaining the delivery environment quality factor based on the obtained material delivery environment related data and the reference delivery environment data obtained from a preset database; the material delivery environment related data includes the material delivery environment temperature, the material delivery environment humidity, the material delivery air flow speed and the material delivery static electricity intensity; the reference delivery environment data includes the reference material delivery environment temperature, the reference material delivery environment humidity, the reference material delivery air flow speed and the reference material delivery static electricity intensity; the obtained The material placement quality change, the placement environment quality factor and the reference placement environment assessment data obtained from the preset database are combined to obtain the placement environment assessment value; the reference placement environment assessment data includes the reference minimum material placement quality change, the reference minimum placement environment data and the reference maximum placement environment data; the reference minimum placement environment data includes the reference minimum material placement environment temperature, the reference minimum material placement environment humidity, the reference minimum material placement airflow velocity and the reference minimum material placement electrostatic intensity; the reference maximum placement environment data includes the reference maximum material placement environment temperature, the reference maximum material placement environment humidity, the reference maximum material placement airflow velocity and the reference maximum material placement electrostatic intensity.

[0012] Furthermore, the specific process of judging whether to execute the delivery process monitoring based on the delivery environment evaluation value is as follows: comparing the obtained delivery environment evaluation value with the preset delivery environment threshold range obtained from the preset database; if the delivery environment evaluation value is within the preset delivery environment threshold range obtained from the preset database, then executing the delivery process monitoring, and evaluating the delivery process monitoring effect to obtain the delivery quality monitoring evaluation value; if the delivery environment evaluation value is not within the preset delivery environment threshold range obtained from the preset database, then not executing the delivery process monitoring, and reminding the preset personnel to optimize the delivery environment; the delivery environment optimization includes environmental temperature and humidity optimization and environmental airflow optimization; the environmental temperature and humidity optimization is used to reduce the delivery environment temperature and humidity of the food sheet materials to be delivered; the environmental airflow optimization is used to reduce the delivery environment airflow speed of the food sheet materials to be delivered.

[0013] Furthermore, the specific steps of evaluating the monitoring effect of the delivery process to obtain the delivery quality monitoring evaluation value are as follows: obtaining delivery quality monitoring related data within a preset time interval of quality monitoring; combining the delivery quality monitoring related data with the quality monitoring reference data obtained from a preset database to obtain the delivery quality monitoring evaluation value; the delivery quality monitoring related data include the delivery environment evaluation value, the average value of the material delivery quality, the average value of the material length delivery, the average value of the material width delivery and the average value of the material thickness delivery; the quality monitoring reference data include the quality monitoring correction factor, the reference material delivery quality, the reference material delivery length, the reference material delivery width and the reference material delivery thickness.

[0014] Furthermore, the method for obtaining the delivery quality monitoring evaluation value is as follows:

[0015]

[0016] Where WL represents the evaluation value of the quality monitoring of the delivery, ζ' WL represents the quality monitoring correction factor, WH represents the environmental assessment value, Indicates the average material quality within the preset time interval of quality monitoring, ΔG w Indicates the reference material delivery quality, It represents the average length of material delivered within the preset time interval of quality monitoring, ΔDw represents the length of reference material delivered, It indicates the average material width within the preset time interval of quality monitoring, ΔKw indicates the reference material width. It represents the average material thickness within the preset time interval of quality monitoring, and ΔEw represents the reference material thickness.

[0017] Furthermore, the specific process of judging whether to execute material delivery optimization based on the delivery quality monitoring evaluation value is as follows: comparing the obtained delivery quality monitoring evaluation value with the preset delivery quality threshold range obtained from the preset database; if the delivery quality monitoring evaluation value is within the preset delivery quality threshold range obtained from the preset database, material delivery optimization is not executed, and the delivery quality monitoring evaluation value is visualized; the visualization processing is used to visualize the changing trend of the delivery quality monitoring evaluation value; if the delivery quality monitoring evaluation value is not within the preset delivery quality threshold range obtained from the preset database, material delivery optimization is executed, and at the same time, the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value.

[0018] Furthermore, the specific process of executing material delivery optimization is as follows: A1, optimizing the delivery transmission speed of the delivery process of the food sheet material to be delivered, and judging whether the delivery quality monitoring and evaluation value after the delivery transmission speed optimization is within the preset delivery quality threshold range. If so, stopping the material delivery optimization, otherwise executing A2; A2, optimizing the delivery vibration of the food sheet material to be delivered, and judging whether the delivery quality monitoring and evaluation value after the delivery transmission speed optimization is within the preset delivery quality threshold range. If so, stopping the material delivery optimization, otherwise executing A3; A3, optimizing the delivery monitoring of the food sheet material to be delivered, and evaluating the material delivery optimization effect to obtain a delivery optimization evaluation value.

[0019] Furthermore, the specific steps of evaluating the material delivery optimization effect to obtain the delivery optimization evaluation value are as follows: obtaining delivery optimization related data within a preset time interval for delivery optimization; obtaining the material delivery speed optimization value based on the actual material delivery amount and the total material delivery time, obtaining the material delivery energy efficiency optimization value based on the obtained total material delivery energy consumption and the actual material delivery amount, and obtaining the material delivery frequency optimization value based on the obtained total number of material delivery and the total material delivery time; combining the delivery optimization related data, the material delivery speed optimization value, the material delivery energy efficiency optimization value, the material delivery frequency optimization value with the reference maximum material delivery amount obtained from the preset database to obtain the delivery optimization evaluation value; the delivery optimization related data are the delivery quality monitoring evaluation value, the actual material delivery amount, the total material delivery time, the total material delivery energy consumption and the total number of material delivery after de-unitization processing.

[0020] Furthermore, the specific process of judging whether to prompt to suspend delivery based on the delivery optimization evaluation value is: comparing the delivery optimization evaluation value with the preset delivery optimization threshold range obtained from the preset database; if the delivery optimization evaluation value is within the preset delivery optimization threshold range obtained from the preset database, then the prompt to suspend delivery is not executed, and the delivery quality monitoring evaluation value is continuously monitored to see if it is within the preset delivery quality threshold range; if the delivery optimization evaluation value is not within the preset delivery optimization threshold range obtained from the preset database, then the prompt to suspend delivery is executed, and the preset personnel are reminded to perform sheet material delivery equipment inspection.

[0021] An embodiment of the present application provides a control method for the delivery of flaky materials, comprising the following steps: S1, evaluating the degree of compliance of a delivery environment for flaky food materials to be delivered based on material delivery-related data to obtain a delivery environment evaluation value, and judging whether to perform delivery process monitoring based on the delivery environment evaluation value, wherein the delivery environment evaluation value is used to quantitatively evaluate the degree of compliance of the delivery environment for flaky food materials to be delivered; S2, if delivery process monitoring is performed, evaluating the delivery process monitoring effect to obtain a delivery quality monitoring evaluation value, and judging whether to perform material delivery optimization based on the delivery quality monitoring evaluation value, wherein the delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of material quality during the delivery process of flaky food materials to be delivered; S3, if material delivery optimization is performed, evaluating the material delivery optimization effect to obtain a delivery optimization evaluation value, and judging whether to prompt to suspend delivery based on the delivery optimization evaluation value, wherein the delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the flaky food materials to be delivered.

[0022] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0023] 1. By evaluating the degree of compliance of the delivery environment of the food sheet materials to be delivered, the delivery environment evaluation value is obtained to determine whether to perform delivery process monitoring, then the delivery process monitoring effect is evaluated and it is determined whether to perform material delivery optimization, and finally the material delivery optimization effect is evaluated to obtain the delivery optimization evaluation value. Based on the delivery optimization evaluation value, it is determined whether to prompt to suspend delivery, thereby realizing the monitoring and evaluation of material quality during the delivery process of the food sheet materials to be delivered and the delivery control optimization, thereby achieving the improvement of the delivery control accuracy of regular food sheet materials, and effectively solving the problem of low delivery control accuracy of regular food sheet materials in the existing technology.

[0024] 2. By obtaining material placement environment-related data within a preset time interval, and then obtaining a placement environment quality factor based on the obtained material placement environment-related data and reference placement environment data obtained from a preset database, and finally combining the obtained material placement quality change, the placement environment quality factor and the reference placement environment assessment data obtained from the preset database to obtain a placement environment assessment value, a numerical assessment of the degree of compliance of the food sheet materials to be placed in the placement environment is achieved, thereby achieving a more accurate assessment of the degree of compliance of the food sheet materials to be placed in the placement environment.

[0025] 3. By obtaining the delivery quality monitoring related data within the preset time interval of quality monitoring, and combining the delivery quality monitoring related data with the quality monitoring reference data obtained from the preset database to obtain the delivery quality monitoring evaluation value, a numerical evaluation of the material quality compliance degree during the delivery process of the food sheet material to be delivered is achieved, thereby achieving a more accurate evaluation of the material quality compliance degree during the delivery process of the food sheet material to be delivered. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic structural diagram of a control system for delivering sheet materials provided in an embodiment of the present application;

[0027] Figure 2 A schematic diagram showing changes in the delivery quality monitoring evaluation value along with the delivery environment evaluation value provided in an embodiment of the present application;

[0028] Figure 3 A schematic diagram showing changes in the delivery quality monitoring evaluation value according to the average delivery length of the material provided in the embodiment of the present application;

[0029] Figure 4 This is a flow chart of a control method for feeding sheet materials provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The embodiments of the present application solve the problem of low precision in the control of regular food sheet material delivery in the prior art by providing a control system and method for the delivery of sheet materials. The control system and method are used to evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered based on the relevant data of the delivery of the material, thereby obtaining a delivery environment evaluation value. Based on the delivery environment evaluation value, it is determined whether to perform delivery process monitoring. Then, the delivery process monitoring effect is evaluated to obtain a delivery quality monitoring evaluation value to determine whether to perform material delivery optimization. Finally, the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value. Based on the delivery optimization evaluation value, it is determined whether to prompt to suspend delivery, thereby achieving an improvement in the control precision of regular food sheet material delivery.

[0031] The technical solution in the embodiment of the present application is to solve the problem of low precision in the control of feeding food sheet materials according to the above rules. The overall idea is as follows:

[0032] By evaluating the degree of compliance of the delivery environment for food flaky materials to be delivered, it is determined whether to perform delivery process monitoring, then the delivery process monitoring effect is evaluated and it is determined whether to perform material delivery optimization, and finally the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value. Based on the delivery optimization evaluation value, it is determined whether to prompt to suspend delivery, thereby achieving the effect of improving the control accuracy of regular food flaky material delivery.

[0033] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0034] like Figure 1 As shown, it is a structural schematic diagram of a control system for sheet material delivery provided by an embodiment of the present application. The control system for sheet material delivery provided by an embodiment of the present application includes: a delivery environment judgment module, a delivery monitoring judgment module and a delivery optimization judgment module; the delivery environment judgment module is used to evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered according to the material delivery related data to obtain a delivery environment evaluation value, and judge whether to perform delivery process monitoring based on the delivery environment evaluation value, and the delivery environment evaluation value is used to quantitatively evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered; the delivery monitoring judgment module is used to evaluate the delivery process monitoring effect to obtain a delivery quality monitoring evaluation value if the delivery process monitoring is performed, and judge whether to perform material delivery optimization based on the delivery quality monitoring evaluation value, and the delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of the material quality during the delivery process of the food sheet material to be delivered; the delivery optimization judgment module is used to evaluate the material delivery optimization effect to obtain a delivery optimization evaluation value if the material delivery optimization is performed, and judge whether to prompt to suspend delivery based on the delivery optimization evaluation value, and the delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food sheet material to be delivered.

[0035] Among them, the food flaky materials to be placed refer to regular food flaky materials, such as chocolate chips, cereal chips, bread slices, etc.; the material placement related data include material placement temperature data, material placement humidity data, material placement airflow speed data, material placement electrostatic intensity data and material placement quality data.

[0036] Specifically, the material delivery temperature data is obtained by deploying a wireless temperature sensor in the sheet material delivery environment (for example, the center point of the sheet material delivery conveyor belt), the material delivery humidity data is obtained by deploying a humidity sensor in the sheet material delivery environment (for example, the center point of the sheet material delivery conveyor belt), the material delivery airflow velocity data is obtained by deploying an ultrasonic airflow sensor in the sheet material delivery environment (for example, the material delivery entrance), the material delivery electrostatic intensity data is obtained by deploying an electrostatic voltmeter in the sheet material delivery environment (for example, the material delivery entrance), and the material delivery quality data is obtained by deploying a weighing sensor in the sheet material delivery environment (for example, the starting and end points of the sheet material delivery conveyor belt).

[0037] By obtaining data related to material placement, the environmental compliance degree of the food sheet materials to be placed can be evaluated, thereby improving the accuracy of environmental compliance control during the regular food sheet material placement control process. By improving the environmental compliance degree during the regular food sheet material placement control process, the accuracy of regular food sheet material placement control can be improved.

[0038] Furthermore, the specific steps of evaluating the compliance of the placement environment of the food-like flaky material to be placed according to the material placement related data to obtain the placement environment assessment value are as follows: obtaining the material placement environment related data within a preset time interval, obtaining the placement environment quality factor (i.e., the ζ in the placement environment assessment value) according to the obtained material placement environment related data and the reference placement environment data obtained from the preset database WH,t ); material placement environment related data include material placement environment temperature, material placement environment humidity, material placement air flow velocity and material placement electrostatic intensity; reference placement environment data include reference material placement environment temperature, reference material placement environment humidity, reference material placement air flow velocity and reference material placement electrostatic intensity; the obtained material placement quality change, placement environment quality factor and reference placement environment assessment data obtained from the preset database are combined to obtain a placement environment assessment value; reference placement environment assessment data include reference minimum material placement quality change, reference minimum placement environment data and reference maximum placement environment data; reference minimum placement environment data include reference minimum material placement environment temperature, reference minimum material placement environment humidity, reference minimum material placement air flow velocity and reference minimum material placement electrostatic intensity; reference maximum placement environment data include reference maximum material placement environment temperature, reference maximum material placement environment humidity, reference maximum material placement air flow velocity and reference maximum material placement electrostatic intensity.

[0039] The method for obtaining the environmental assessment value is as follows:

[0040]

[0041] Where WH represents the evaluation value of the placement environment, t represents the number of the preset time in the preset time interval, t=1,2,...,T, T represents the total number of preset time in the preset time interval, WH t represents the delivery environment evaluation value at the tth preset time within the preset time interval, ζ WH,t It represents the delivery environment quality factor at the t-th preset time within the preset time interval, Indicates the change in material delivery mass within a preset time interval, ΔG w Indicates the change in the minimum material input mass. Indicates the ambient temperature of the material delivery environment at the tth preset time within the preset time interval, WD'min Indicates the reference minimum material delivery environment temperature, WD' max Indicates the reference maximum material delivery environment temperature, Indicates the humidity of the material delivery environment at the t-th preset time within the preset time interval, WS' min Indicates the reference minimum material placement environment humidity, WS' max Indicates the reference maximum material placement environment humidity, Indicates the material delivery airflow velocity at the tth preset time within the preset time interval, WV' min Indicates the reference minimum material delivery airflow velocity, WV' max Indicates the reference maximum material delivery airflow velocity, Indicates the static electricity intensity of the material at the t-th preset time within the preset time interval, WJ' min Indicates the reference minimum material electrostatic intensity, WJ' max Indicates the reference maximum material placement electrostatic intensity, ΔWD indicates the reference material placement environment temperature, ΔWS indicates the reference material placement environment humidity, ΔWV indicates the reference material placement airflow velocity, and ΔWJ indicates the reference material placement electrostatic intensity.

[0042] In this embodiment, the material delivery environment-related data refers to the measured values of the material delivery-related data at preset moments within a preset time interval; wherein, the initial material delivery mass is obtained by a weighing sensor deployed at the starting point of the sheet material delivery conveyor belt, and the final material delivery mass is obtained by a weighing sensor deployed at the end point of the sheet material delivery conveyor belt, and the difference operation between the obtained initial material delivery mass and the final material delivery mass is performed to obtain the change in material delivery mass.

[0043] The aforementioned database is a database for storing various types of setting data established before the design of a control system for sheet material delivery provided in an embodiment of the present application. The database includes but is not limited to the material delivery environment temperature, material delivery environment humidity, material delivery air flow velocity, and material delivery electrostatic strength, etc., and the various numerical values therein are directly set by technical personnel; for example, the reference material delivery environment temperature is represented by summing and averaging the collected historical material delivery environment temperatures, the reference material delivery environment humidity is represented by summing and averaging the collected historical material delivery environment humidity, the reference material delivery air flow velocity is represented by summing and averaging the collected historical material delivery air flow velocities, and the reference material delivery electrostatic strength is represented by summing and averaging the collected historical material delivery electrostatic strength.

[0044] Among them, the minimum value of the historical material delivery mass change collected is represented by the reference minimum material delivery mass change, the minimum value of the historical material delivery ambient temperature collected is represented by the reference minimum material delivery ambient temperature, the minimum value of the historical material delivery ambient humidity collected is represented by the reference minimum material delivery ambient humidity, the minimum value of the historical material delivery airflow velocity collected is represented by the reference minimum material delivery airflow velocity, and the minimum value of the historical material delivery electrostatic strength collected is represented by the reference minimum material delivery electrostatic strength.

[0045] Among them, the corresponding reference maximum material delivery environment temperature, reference maximum material delivery environment humidity, reference maximum material delivery air flow velocity and reference maximum material delivery electrostatic intensity are represented by collecting the corresponding historical material delivery environment temperature, material delivery environment humidity, material delivery air flow velocity and material delivery electrostatic intensity maximum values.

[0046] The placement environment assessment value is used to quantitatively assess the compliance of the placement environment for food-like flaky materials to be placed. Among them, the material placement environment temperature, material placement environment humidity, material placement air flow velocity, material placement electrostatic strength and material placement quality change all have an impact on the placement environment assessment value. Specifically, as the deviation degree of the material placement environment temperature, material placement environment humidity, material placement air flow velocity, material placement electrostatic strength and the corresponding reference placement environment data decreases, that is, the closer the material placement environment-related data is to the corresponding reference placement environment data, the placement environment quality factor increases accordingly, and thus the placement environment assessment value also increases accordingly; as the material placement quality change decreases, the placement environment assessment value also increases.

[0047] In addition, the placement environment assessment value includes parameters from multiple aspects, and each parameter is related to each other and does not exist independently. For example, as the temperature of the material placement environment increases, that is, the deviation between the material placement environment temperature and the reference material placement environment temperature increases, the placement environment quality factor decreases. As the material placement environment temperature increases, the moisture loss of the food flake material to be placed, such as chocolate chips, occurs, that is, the change in the material placement quality increases, which in turn causes the placement environment assessment value to decrease. At the same time, as the deviation between the humidity of the material placement environment and the humidity of the reference material placement environment increases, the placement environment quality factor decreases. When the humidity of the material placement environment decreases, the static electricity intensity of the material placement increases, that is, the deviation between the static electricity intensity of the material placement and the static electricity intensity of the reference material placement increases. As the static electricity intensity of the material placement increases, the surface of the food flake material to be placed is easily adsorbed by static electricity and easily adsorbed on the placement equipment, which reduces the change in the material placement quality, and thus causes the placement environment assessment value to decrease.

[0048] Therefore, through quantitative means, the correlation and mutual influence between various factors are taken into account, and the environmental assessment value of the placement is obtained through comprehensive analysis, which realizes the numerical assessment of the environmental compliance degree of the food sheet materials to be placed. The environmental compliance degree of the food sheet materials to be placed is judged through the numerical assessment, thereby achieving the improvement of the accuracy of the assessment of the environmental compliance degree of the food sheet materials to be placed.

[0049] Furthermore, the specific process of judging whether to execute the delivery process monitoring based on the delivery environment evaluation value is as follows: comparing the obtained delivery environment evaluation value with the preset delivery environment threshold range obtained from the preset database; if the delivery environment evaluation value is within the preset delivery environment threshold range obtained from the preset database, then the delivery process monitoring is executed, and the delivery process monitoring effect is evaluated to obtain the delivery quality monitoring evaluation value; if the delivery environment evaluation value is not within the preset delivery environment threshold range obtained from the preset database, then the delivery process monitoring is not executed, and the preset personnel are reminded to optimize the delivery environment; the delivery environment optimization includes environmental temperature and humidity optimization and environmental airflow optimization; environmental temperature and humidity optimization is used to reduce the delivery environment temperature and humidity of food sheet materials to be delivered; environmental airflow optimization is used to reduce the delivery environment airflow speed of food sheet materials to be delivered.

[0050] In this embodiment, specifically, the preset delivery environment threshold range is set by professionals according to standards in the field. For example, the material delivery environment temperature range is set to 25 degrees Celsius to 30 degrees Celsius, the material delivery environment humidity range is set to 50% relative humidity to 60 relative humidity, the material delivery air flow speed range is set to 1 m / s to 3 m / s, the material delivery electrostatic strength range is set to 1 kV to 5 kV, and the material delivery mass change range is set to 2% to 3%, thereby determining the preset delivery environment threshold range.

[0051] Specifically, the real-time collected data such as the material placement environment temperature, material placement environment humidity, material placement airflow speed, and material placement electrostatic intensity are transmitted to the SCADA (Supervisory Control and Data Acquisition) system and displayed through a human-machine interface to realize the placement process monitoring; wherein, the environmental temperature and humidity are optimized by the PID (Proportional-Integral-Derivative) control algorithm. Specifically, for example, the control signal is generated by calculating the proportion, integration, and differentiation to make the temperature and humidity reach the target value and reduce the risk of over-adjustment; the environmental airflow is optimized by a dynamic airflow adjustment system (such as a variable frequency fan). Specifically, for example, the fan speed is adjusted according to the error of the real-time airflow (the difference between the target airflow and the actual airflow) so that the error of the real-time airflow is minimized; by combining the preset placement environment threshold range for judgment and placement environment optimization, the accuracy of the judgment of the environmental compliance of the food sheet material to be placed and the placement accuracy under abnormal environmental compliance conditions are improved.

[0052] Furthermore, the specific steps for evaluating the monitoring effect of the delivery process to obtain the delivery quality monitoring evaluation value are as follows: obtaining delivery quality monitoring related data within the preset time interval of quality monitoring; combining the delivery quality monitoring related data with the quality monitoring reference data obtained from the preset database to obtain the delivery quality monitoring evaluation value; the delivery quality monitoring related data include the delivery environment evaluation value, the average value of the material delivery quality, the average value of the material length delivery, the average value of the material width delivery and the average value of the material thickness delivery; the quality monitoring reference data include the quality monitoring correction factor, the reference material delivery quality, the reference material delivery length, the reference material delivery width and the reference material delivery thickness.

[0053] The method for obtaining the delivery quality monitoring evaluation value is as follows:

[0054]

[0055] Where WL represents the evaluation value of the quality monitoring of the delivery, ζ' WL represents the quality monitoring correction factor, WH represents the environmental assessment value, Indicates the average material quality within the preset time interval of quality monitoring, ΔG w Indicates the reference material delivery quality, It represents the average length of material delivered within the preset time interval of quality monitoring, ΔDw represents the length of reference material delivered, It indicates the average material width within the preset time interval of quality monitoring, ΔKw indicates the reference material width. It represents the average material thickness within the preset time interval of quality monitoring, and ΔEw represents the reference material thickness.

[0056] In this embodiment, the average value of the material delivery quality refers to the average value of the material delivery quality within the preset time interval of quality monitoring (i.e., the preset time interval for performing delivery process monitoring). The average value of the material delivery quality is obtained by performing statistical analysis on the material delivery quality within the preset time interval of quality monitoring through Excel's AVERAGE function.

[0057] The AVERAGE function of Excel is used to perform statistical analysis on the material delivery length, material delivery width and material delivery thickness within the preset time interval of quality monitoring to obtain the average material delivery length, material delivery width and material delivery thickness. Specifically, the material delivery length, material delivery width and material delivery thickness are obtained by a laser scanner.

[0058] The quality monitoring correction factor is obtained from the preset database and is used to reflect the degree of influence of the release process monitoring influencing factors (such as environmental noise) on the release quality monitoring evaluation value. The real-time release process monitoring influencing factors (such as environmental noise) are input into the preset mapping set in the database to obtain the corresponding quality monitoring correction factor.

[0059] The corresponding reference material delivery length, reference material delivery width and reference material delivery thickness are represented by summing and averaging the collected historical material delivery lengths, material delivery widths and material delivery thicknesses.

[0060] The following settings are made: the quality monitoring correction factor is 1.5, the average material delivery weight is 50 grams, the reference material delivery weight is 45 grams, taking chocolate chips as an example, the reference material delivery length is 110 mm, the average material delivery width is 20 mm, the reference material delivery width is 25 mm, the average material delivery thickness is 30 mm, and the reference material delivery thickness is 35 mm; Figure 2 As shown in FIG, a schematic diagram of the change of the delivery quality monitoring evaluation value with the delivery environment evaluation value provided in the embodiment of the present application is provided. Specifically, the average length of the material delivery is set to 100 mm. As the delivery environment evaluation value increases, the delivery quality monitoring evaluation value increases accordingly; Figure 3 As shown, it is a schematic diagram of the change of the delivery quality monitoring evaluation value provided in the embodiment of the present application with the average value of the material delivery length. Specifically, the delivery environment evaluation value is set to 5. As the degree of deviation between the average value of the material delivery length and the reference material delivery length decreases, that is, the closer the average value of the material delivery length is to the reference material delivery length, the delivery quality monitoring evaluation value also increases.

[0061] The delivery quality monitoring and evaluation value is used to quantitatively evaluate the degree of compliance of material quality during the delivery of food-type flaky materials. Specifically, the delivery quality monitoring and evaluation value includes multiple parameters, among which the delivery environment evaluation value, the average value of material delivery quality, the average value of material length delivery, the average value of material width delivery and the average value of material thickness delivery all have an impact on the delivery quality monitoring and evaluation value; specifically, as the delivery environment evaluation value increases, the delivery quality monitoring and evaluation value increases accordingly; as the degree of deviation between the average value of material delivery quality, the average value of material length delivery, the average value of material width delivery and the average value of material thickness delivery and the corresponding reference value decreases, the delivery quality monitoring and evaluation value also increases accordingly.

[0062] It should be added that the various parameters in the delivery quality monitoring and evaluation value are related to each other and do not exist independently. For example, with the increase of the delivery environment evaluation value, it indicates that the degree of compliance of the delivery environment of the food-like flaky materials to be delivered increases, thereby reducing the deviation between the average value of the material delivery quality and the total amount of the reference material delivery, and thus increasing the delivery quality monitoring and evaluation value. In addition, with the increase of the deviation between the average value of the material delivery length and the reference material delivery length, the deviation between the average value of the material delivery width and the average value of the material delivery thickness and the corresponding reference material delivery width and reference material delivery thickness increases, and thus decreasing the delivery quality monitoring and evaluation value. At the same time, the decrease in the average value of the material delivery length will also lead to a decrease in the average value of the material delivery quality, that is, the deviation between the average value of the material delivery quality and the reference material delivery quality increases, and thus decreasing the delivery quality detection and evaluation value. As the delivery environment evaluation value decreases, the average value of the material delivery quality will also decrease, and thus decreasing the delivery quality monitoring and evaluation value.

[0063] Therefore, the correlation and mutual influence between various factors are taken into consideration, and the quality monitoring evaluation value of the food sheet materials to be put into use is obtained through comprehensive analysis in a quantitative way. The quality compliance degree of the food sheet materials to be put into use is judged through numerical evaluation, thereby achieving a more accurate evaluation of the quality compliance degree of the food sheet materials to be put into use.

[0064] Furthermore, the specific process of judging whether to execute material delivery optimization based on the delivery quality monitoring evaluation value is as follows: comparing the obtained delivery quality monitoring evaluation value with the preset delivery quality threshold range obtained from the preset database; if the delivery quality monitoring evaluation value is within the preset delivery quality threshold range obtained from the preset database, material delivery optimization is not executed, and the delivery quality monitoring evaluation value is visualized; the visualization is used to visualize the changing trend of the delivery quality monitoring evaluation value; if the delivery quality monitoring evaluation value is not within the preset delivery quality threshold range obtained from the preset database, material delivery optimization is executed, and at the same time, the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value.

[0065] In this embodiment, the preset delivery quality threshold range is set by professionals according to standards in the field. For example, the preset delivery quality threshold range is set to 4.556 to 6.223; wherein, the delivery quality monitoring evaluation value is visualized through visual charts (such as line charts and bar charts). Specifically, Python's matplotlib is used to draw a line chart, and the horizontal axis is set to the date, and the vertical axis is the delivery quality monitoring evaluation value; by combining the preset delivery quality threshold range for judgment and material delivery optimization, a more accurate judgment of the degree of material quality compliance during the delivery of food sheet materials to be delivered is achieved.

[0066] It should be added that the specific process of executing material delivery optimization is as follows: A1, optimizing the delivery transmission speed of the delivery process of food-like flaky materials, and judging whether the delivery quality monitoring and evaluation value after the delivery transmission speed optimization is within the preset delivery quality threshold range. If so, stop the material delivery optimization, otherwise execute A2; A2, optimizing the delivery vibration of the delivery process of food-like flaky materials, and judging whether the delivery quality monitoring and evaluation value after the delivery transmission speed optimization is within the preset delivery quality threshold range. If so, stop the material delivery optimization, otherwise execute A3; A3, optimizing the delivery monitoring of the delivery process of food-like flaky materials, and evaluating the material delivery optimization effect to obtain a delivery optimization evaluation value.

[0067] In this embodiment, delivery transmission speed optimization is achieved through a PID control algorithm. For example, the control quantity (conveyor belt speed) is adjusted by calculating the deviation between the target value and the actual value through a PID controller; delivery vibration optimization is achieved through a vibration frequency adjustment algorithm (such as based on fast Fourier transform analysis). For example, the time domain signal is converted into a frequency domain signal through fast Fourier transform; delivery monitoring optimization is achieved through a sensor fusion algorithm (such as Kalman filtering). For example, the state estimation is corrected and the error covariance matrix is updated by calculating the Kalman gain and using the observed value to optimize the state estimation; and material delivery optimization is achieved to improve the delivery accuracy in the event of abnormal material quality compliance during the delivery of food-like sheet materials to be delivered.

[0068] Furthermore, the specific steps for evaluating the material delivery optimization effect to obtain the delivery optimization evaluation value are as follows: obtaining delivery optimization related data within the delivery optimization preset time interval; obtaining the material delivery speed optimization value (i.e., V in the delivery optimization evaluation value) based on the actual material delivery amount and the total material delivery time; Gw ), and obtain the material delivery energy efficiency optimization value (i.e., E in the delivery optimization evaluation value) based on the total energy consumption of material delivery and the actual material delivery amount. Gw ), and obtain the material delivery frequency optimization value (i.e., C in the delivery optimization evaluation value) based on the total number of material delivery times and the total duration of material delivery. Gw ); combining the delivery optimization related data, the material delivery speed optimization value, the material delivery energy efficiency optimization value, the material delivery frequency optimization value and the reference maximum material delivery amount obtained from the preset database to obtain the delivery optimization evaluation value; the delivery optimization related data are the delivery quality monitoring evaluation value after de-unitization, the actual material delivery amount, the total material delivery time, the total material delivery energy consumption and the total number of material delivery times.

[0069] The method to obtain the delivery optimization evaluation value is as follows:

[0070]

[0071] Where WY represents the delivery optimization evaluation value, WL represents the delivery quality monitoring evaluation value, and A Gw A' represents the actual material delivery within the preset time interval of delivery optimization. Gw Indicates the reference maximum material input, V Gw Indicates the optimized value of material delivery speed, E Gw Indicates the optimized value of energy efficiency of material delivery, C Gw Indicates the optimized value of material delivery frequency.

[0072] In this embodiment, the optimized value of material delivery speed is the ratio of the actual material delivery amount to the total material delivery time, the optimized value of material delivery energy efficiency is the ratio of the total energy consumption of material delivery to the actual material delivery amount, the optimized value of material delivery frequency is the ratio of the total number of material delivery times to the total material delivery time, and the actual maximum material delivery amount is set by professionals with reference to the maximum material delivery amount; specifically, the actual material delivery amount is obtained by the weighing sensor within the preset time interval of the delivery optimization (that is, the preset time interval after the execution of the material delivery optimization), the total material delivery time is obtained by the timer, the total energy consumption of the material delivery is obtained by the energy consumption monitoring equipment (such as the power meter), and the total number of material delivery times is obtained by the operation log during the material delivery process.

[0073] Specific assumptions: the total material delivery time is 200 minutes, and the reference maximum material delivery amount is 400 kg; the delivery optimization evaluation value can be calculated using the above method. The statistical table of changes in the delivery optimization evaluation value is shown in Table 1:

[0074] Table 1 Statistics of changes in delivery optimization evaluation values

[0075]

[0076]

[0077] It can be seen from the second and third groups of data in Table 1 that with the increase of the delivery quality monitoring evaluation value, the delivery optimization evaluation value increases accordingly. In addition, as can be seen from the first and third groups of data, with the increase of the material delivery speed optimization value, the delivery optimization evaluation value also increases accordingly; at the same time, as can be seen from the third and fourth groups of data, with the increase of the material delivery frequency optimization value, the delivery optimization evaluation value also increases accordingly.

[0078] The delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food-type flaky materials to be delivered. Specifically, the delivery quality monitoring evaluation value, the material delivery speed optimization value, the material delivery energy efficiency optimization value and the material delivery frequency optimization value all have an impact on the delivery optimization evaluation value. Specifically, with the increase of the delivery quality monitoring evaluation value, the material delivery speed optimization value and the material delivery frequency optimization value, the delivery optimization evaluation value increases accordingly. With the decrease of the material delivery energy efficiency optimization value, the delivery optimization evaluation value also increases accordingly. Among them, the delivery optimization evaluation value includes parameters in multiple aspects, and the various parameters are related and do not exist independently. For example, with the increase of the delivery quality detection evaluation value, the material delivery speed optimization value increases accordingly, and then the delivery optimization evaluation value increases accordingly. At the same time, with the decrease of the material delivery energy efficiency optimization value, the delivery quality detection evaluation value increases accordingly, and then the delivery optimization evaluation value increases accordingly.

[0079] Therefore, the correlation and mutual influence among various factors are taken into consideration, and the delivery optimization evaluation value is obtained in a quantitative way, which realizes the numerical evaluation of the material delivery optimization effect corresponding to the food sheet materials to be delivered. The material delivery optimization effect corresponding to the food sheet materials to be delivered is judged through the numerical evaluation, thereby improving the delivery control accuracy of the food sheet materials to be delivered.

[0080] Furthermore, the specific process of judging whether to prompt to suspend delivery based on the delivery optimization evaluation value is as follows: compare the delivery optimization evaluation value with the preset delivery optimization threshold range obtained from the preset database; if the delivery optimization evaluation value is within the preset delivery optimization threshold range obtained from the preset database, then the prompt to suspend delivery is not executed, and the delivery quality monitoring evaluation value is continuously monitored to see if it is within the preset delivery quality threshold range; if the delivery optimization evaluation value is not within the preset delivery optimization threshold range obtained from the preset database, then the prompt to suspend delivery is executed, and the preset personnel are reminded to perform sheet material delivery equipment inspection.

[0081] In this embodiment, the preset delivery optimization threshold range is set by professionals based on standards in the field. For example, the preset delivery optimization threshold range is set to 10.4 to 35.7; wherein, the surface temperature of key components of the sheet material delivery equipment (such as the dispenser, guide rails, etc.) is checked by using infrared imaging technology to achieve sheet material delivery equipment detection; by combining the preset delivery optimization threshold range and judging whether to prompt to suspend delivery, the reliability of regular food sheet material delivery control is improved.

[0082] like Figure 4 As shown, it is a flow chart of a control method for sheet material delivery provided by an embodiment of the present application, the method comprising the following steps: S1, evaluating the degree of compliance of the delivery environment of the food sheet material to be delivered according to the material delivery-related data to obtain a delivery environment evaluation value, judging whether to perform delivery process monitoring based on the delivery environment evaluation value, and the delivery environment evaluation value is used to quantitatively evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered; S2, if delivery process monitoring is performed, evaluating the delivery process monitoring effect to obtain a delivery quality monitoring evaluation value, judging whether to perform material delivery optimization based on the delivery quality monitoring evaluation value, and the delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of the material quality during the delivery process of the food sheet material to be delivered; S3, if material delivery optimization is performed, evaluating the material delivery optimization effect to obtain a delivery optimization evaluation value, judging whether to prompt to suspend delivery based on the delivery optimization evaluation value, and the delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food sheet material to be delivered.

[0083] In this embodiment, the degree of compliance of the food sheet material to be placed with the placement environment is evaluated through material placement related data, thereby achieving optimization of the placement environment of the food sheet material to be placed and monitoring of the placement process, and judging whether to perform material placement optimization based on the evaluation of the material quality compliance during the placement of the food sheet material to be placed, thereby achieving improvement in the control accuracy of the food sheet material placement.

[0084] To sum up, the embodiment of the present application evaluates the degree of compliance of the delivery environment of the food sheet material to be delivered to obtain a delivery environment evaluation value to determine whether to perform delivery process monitoring, then evaluates the delivery process monitoring effect and determines whether to perform material delivery optimization, and finally evaluates the material delivery optimization effect to obtain a delivery optimization evaluation value, and determines whether to prompt to suspend delivery based on the delivery optimization evaluation value, thereby realizing the monitoring and evaluation of material quality during the delivery process of the food sheet material to be delivered and the delivery control optimization, thereby achieving the improvement of the delivery control accuracy of regular food sheet materials, and effectively solving the problem of low delivery control accuracy of regular food sheet materials in the prior art.

[0085] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0089] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0090] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A control system for feeding sheet materials, characterized in that: include: Delivery environment judgment module, delivery monitoring judgment module and delivery optimization judgment module; The delivery environment judgment module is used to evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered based on the material delivery related data to obtain a delivery environment evaluation value, and determine whether to perform delivery process monitoring based on the delivery environment evaluation value. The delivery environment evaluation value is used to quantitatively evaluate the degree of compliance of the delivery environment of the food sheet material to be delivered; The delivery monitoring and judgment module is used to evaluate the delivery process monitoring effect to obtain a delivery quality monitoring evaluation value if delivery process monitoring is performed, and determine whether to perform material delivery optimization based on the delivery quality monitoring evaluation value. The delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of the material quality during the delivery process of the food sheet material to be delivered; The delivery optimization judgment module is used to evaluate the material delivery optimization effect to obtain a delivery optimization evaluation value if material delivery optimization is performed, and to determine whether to prompt the delivery to be suspended based on the delivery optimization evaluation value. The delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food-type flaky material to be delivered.

2. A control system for feeding sheet materials according to claim 1, characterized in that: The specific steps of evaluating the environmental compliance of the food-like flaky material to be placed according to the material placement related data to obtain the placement environment assessment value are as follows: Obtaining material placement environment-related data within a preset time interval, and obtaining a placement environment quality factor based on the acquired material placement environment-related data and reference placement environment data obtained from a preset database; The material placement environment-related data includes the material placement environment temperature, the material placement environment humidity, the material placement airflow velocity, and the material placement static electricity intensity; The reference delivery environment data includes reference material delivery environment temperature, reference material delivery environment humidity, reference material delivery air flow velocity and reference material delivery static electricity intensity; The obtained material delivery quality change, delivery environment quality factor and reference delivery environment assessment data obtained from a preset database are combined to obtain a delivery environment assessment value; The reference placement environment assessment data includes a reference minimum material placement mass change, a reference minimum placement environment data, and a reference maximum placement environment data; The reference minimum material placement environment data includes a reference minimum material placement environment temperature, a reference minimum material placement environment humidity, a reference minimum material placement airflow velocity, and a reference minimum material placement electrostatic intensity; The reference maximum material delivery environment data includes a reference maximum material delivery environment temperature, a reference maximum material delivery environment humidity, a reference maximum material delivery airflow velocity, and a reference maximum material delivery electrostatic intensity.

3. A control system for feeding sheet materials according to claim 1, characterized in that: The specific process of determining whether to perform delivery process monitoring based on the delivery environment evaluation value is as follows: Comparing the obtained delivery environment evaluation value with the preset delivery environment threshold range obtained from the preset database; If the delivery environment evaluation value is within the preset delivery environment threshold range obtained from the preset database, the delivery process monitoring is performed, and the delivery process monitoring effect is evaluated to obtain the delivery quality monitoring evaluation value; If the delivery environment assessment value is not within the preset delivery environment threshold range obtained from the preset database, the delivery process monitoring will not be performed, and the preset personnel will be reminded to optimize the delivery environment; The delivery environment optimization includes environmental temperature and humidity optimization and environmental airflow optimization; The environmental temperature and humidity optimization is used to reduce the temperature and humidity of the environment in which the food sheet material is to be placed; The ambient air flow optimization is used to reduce the ambient air flow speed of the food sheet material to be placed.

4. A control system for feeding sheet materials as claimed in claim 3, characterized in that: The specific steps of evaluating the monitoring effect of the delivery process to obtain the delivery quality monitoring evaluation value are as follows: Obtaining the delivery quality monitoring related data within the preset quality monitoring time interval; Combining the delivery quality monitoring related data with the quality monitoring reference data obtained from the preset database to obtain the delivery quality monitoring evaluation value; The data related to the delivery quality monitoring include the delivery environment assessment value, the average value of the material delivery quality, the average value of the material delivery length, the average value of the material delivery width and the average value of the material delivery thickness; The quality monitoring reference data includes a quality monitoring correction factor, a reference material delivery mass, a reference material delivery length, a reference material delivery width, and a reference material delivery thickness.

5. A control system for feeding sheet materials according to claim 4, characterized in that: The method for obtaining the delivery quality monitoring evaluation value is as follows: Where WL represents the evaluation value of the quality monitoring of the delivery, ζ' WL represents the quality monitoring correction factor, WH represents the environmental assessment value, Indicates the average material quality within the preset time interval of quality monitoring, ΔG w Indicates the reference material delivery quality, It represents the average length of material delivered within the preset time interval of quality monitoring, ΔDw represents the length of reference material delivered, It indicates the average material width within the preset time interval of quality monitoring, ΔKw indicates the reference material width. It represents the average material thickness within the preset time interval of quality monitoring, and ΔEw represents the reference material thickness.

6. A control system for feeding sheet materials according to claim 1, characterized in that: The specific process of determining whether to perform material delivery optimization based on delivery quality monitoring evaluation values is as follows: Comparing the obtained delivery quality monitoring evaluation value with the preset delivery quality threshold range obtained from the preset database; If the delivery quality monitoring evaluation value is within the preset delivery quality threshold range obtained from the preset database, the material delivery optimization will not be performed, and the delivery quality monitoring evaluation value will be visualized; The visualization processing is used to visualize the changing trend of the delivery quality monitoring evaluation value; If the delivery quality monitoring evaluation value is not within the preset delivery quality threshold range obtained from the preset database, material delivery optimization is performed, and the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value.

7. A control system for feeding sheet materials according to claim 6, characterized in that: The specific process of executing material delivery optimization is as follows: A1, optimizing the delivery transmission speed of the food sheet material to be delivered, and determining whether the delivery quality monitoring evaluation value after the delivery transmission speed optimization is within the preset delivery quality threshold range. If so, stopping the material delivery optimization, otherwise executing A2; A2: Optimize the feeding vibration of the food sheet material to be put in, and determine whether the feeding quality monitoring evaluation value after the optimized feeding transmission speed is within the preset feeding quality threshold. If so, stop the material feeding optimization, otherwise execute A3; A3, performing placement monitoring and optimization on the process of placing the food-like flaky materials, and evaluating the optimization effect of the material placement to obtain a placement optimization evaluation value.

8. A control system for feeding sheet materials as claimed in claim 6, characterized in that: The specific steps of evaluating the material delivery optimization effect to obtain the delivery optimization evaluation value are as follows: Obtain delivery optimization related data within the preset delivery optimization time interval; The optimized value of material delivery speed is obtained based on the actual material delivery amount and the total delivery time. The optimized value of material delivery energy efficiency is obtained based on the total energy consumption of material delivery and the actual material delivery amount. The optimized value of material delivery frequency is obtained based on the total number of material delivery times and the total delivery time. The delivery optimization related data, material delivery speed optimization value, material delivery energy efficiency optimization value, material delivery frequency optimization value and the reference maximum material delivery amount obtained from the preset database are combined to obtain the delivery optimization evaluation value; The delivery optimization related data include the delivery quality monitoring evaluation value after de-unitization, the actual material delivery amount, the total material delivery time, the total energy consumption of material delivery and the total number of material delivery times.

9. A control system for feeding sheet materials as claimed in claim 1, characterized in that: The specific process of judging whether to suspend delivery based on delivery optimization evaluation value is as follows: Compare the delivery optimization evaluation value with the preset delivery optimization threshold range obtained from the preset database; If the delivery optimization evaluation value is within the preset delivery optimization threshold range obtained from the preset database, the delivery suspension prompt will not be executed, and the delivery quality monitoring evaluation value will be continuously monitored to see if it is within the preset delivery quality threshold range; If the delivery optimization evaluation value is not within the preset delivery optimization threshold range obtained from the preset database, a prompt to suspend delivery is executed, and the preset personnel are reminded to perform sheet material delivery equipment inspection.

10. A control method for feeding sheet materials, characterized in that: The following steps are involved: S1, evaluating the degree of compliance of the food sheet material to be placed with the environment based on the material placement related data to obtain a placement environment assessment value, and determining whether to perform placement process monitoring based on the placement environment assessment value, wherein the placement environment assessment value is used to quantitatively assess the degree of compliance of the food sheet material to be placed with the environment; S2: If the delivery process monitoring is performed, the delivery process monitoring effect is evaluated to obtain a delivery quality monitoring evaluation value, and based on the delivery quality monitoring evaluation value, it is determined whether to perform material delivery optimization. The delivery quality monitoring evaluation value is used to quantitatively evaluate the degree of compliance of the material quality during the delivery process of the food sheet material to be delivered; S3. If material delivery optimization is performed, the material delivery optimization effect is evaluated to obtain a delivery optimization evaluation value. Based on the delivery optimization evaluation value, it is determined whether to prompt the delivery to be suspended. The delivery optimization evaluation value is used to quantitatively evaluate the material delivery optimization effect corresponding to the food sheet material to be delivered.

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