An automatic filling method, system, electronic equipment and medium for bagged honey

Abstract

An automatic filling method, system, electronic device, and medium for bagged honey are disclosed, belonging to the field of filling technology. The method includes: acquiring a first mass of honey contained in a first honey bag at a first moment, the first honey bag including at least one second honey bag already filled with honey; determining a second mass of honey contained in the second honey bags based on the first mass and the number of second honey bags; comparing each second mass with a standard mass to obtain a first deviation value; acquiring the current honey viscosity, and determining a second deviation value based on the honey viscosity and the second mass; determining a target deviation value based on the first and second deviation values; determining adjustment parameters based on the target deviation values, and controlling the mass of honey injected into a third honey bag (a honey bag without honey) based on the adjustment parameters. This method achieves the effect of detecting changes in honey viscosity and honey bag mass, and providing feedback to adjust the injection parameters of the filling machine.

Description

Technical Field

[0001] This application relates to the field of filling technology, specifically to an automatic filling method, system, electronic equipment, and medium for bagged honey. Background Technology

[0002] With the booming development of the fast food and beverage industries, small-bag honey has gradually become a commonly used condiment in these industries due to its convenience in carrying and repackaging. Currently, the conventional production process for small-bag honey mainly includes: storing honey in large storage tanks; then, using a metering pump to extract a predetermined volume of honey from the storage tanks according to a preset metering scheme and filling it into small bags; after filling, workers collect and consolidate the filled honey bags, forming large packages for weighing and packaging.

[0003] However, in practical applications, during the traditional small-bag honey production process, the factory environment can affect the viscosity of the honey, causing fluctuations in the honey's viscosity. This, in turn, affects the quality of the honey output during the filling machine's operation, resulting in deviations in the quality of the honey injected into the honey bags. Summary of the Invention

[0004] This application provides an automatic filling method, system, electronic device, and medium for bagged honey, which can detect changes in honey viscosity and honey bag quality, and provide feedback to adjust the injection parameters of the filling machine.

[0005] In a first aspect, this application provides an automatic filling method for bagged honey, comprising:

[0006] At a first moment, a first mass of honey contained in a first honey bag is obtained, the first honey bag including at least one second honey bag already filled with honey;

[0007] Based on the first mass and the number of the second honey bags, determine the second mass of honey contained in the second honey bag;

[0008] Each second mass is compared with the standard mass to obtain each first deviation value;

[0009] Obtain the current honey viscosity, and determine each second deviation value based on the honey viscosity and the second mass;

[0010] Based on the first deviation value and the second deviation value, determine the target deviation value;

[0011] Based on the target deviation value, an adjustment parameter is determined, and the quality of honey injected into the third honey bag is controlled according to the adjustment parameter. The third honey bag is a honey bag that has not been injected with honey.

[0012] By adopting the above technical solution, the total mass of the first honey bag containing multiple second honey bags is obtained at the first moment, and the mass of honey in each second honey bag is determined according to the number of second honey bags, i.e., the second mass. Then, the obtained multiple second masses are compared with the standard mass to calculate the mass deviation value of each second honey bag, i.e., the first deviation value. The viscosity parameter of the current honey is obtained in real time, and the viscosity deviation value of each second honey bag is determined according to the correspondence between honey viscosity and the second mass, i.e., the second deviation value. Combining the first and second deviation values, the target deviation value of each second honey bag is determined. The corresponding filling parameters are determined based on the target deviation value, and the filling quality of honey into the unfilled third honey bags is controlled according to these filling parameters. By obtaining the total mass of the first honey bag to calculate the mass of the second honey bag, and combining the target deviation with the change in honey viscosity, the filling parameters can be corrected in real time, effectively solving the filling quality problem caused by honey viscosity fluctuations in the background technology. This achieves fully automatic control of the filling process and improves production efficiency.

[0013] Optionally, the honey density corresponding to the honey viscosity is determined according to a honey density mapping table; a third mass is calculated based on the honey density and the capacity of a standard second honey bag; and the difference between the third mass and the second mass is calculated to obtain the second deviation value.

[0014] By employing the above technical solution, the honey density parameter corresponding to the currently detected honey viscosity parameter is determined based on a pre-defined mapping table between honey density and honey viscosity. Based on the determined honey density parameter and the standard design capacity of the second honey bag, the theoretical mass value of the second honey bag under the standard capacity is calculated using a physical calculation formula; this is the third mass. The difference between the second mass and the third mass is calculated as the second deviation value. By determining the honey density through a table and calculating the theoretical mass under the standard capacity, the impact of current honey viscosity changes on the filling quality can be more accurately reflected. This facilitates further optimization of filling parameters, improves the stability and consistency of filling quality, and achieves accurate acquisition of the second deviation value.

[0015] Optionally, a first duration for which honey is contained in the second honey bag is obtained, wherein the first duration is the duration for injecting honey into the second honey bag; based on the third mass and the first duration, the injection speed corresponding to the honey viscosity is calculated; it is determined whether the injection speed exceeds a preset injection speed standard range; if the injection speed is greater than or equal to the upper limit of the preset injection speed standard range or less than or equal to the lower limit of the preset injection speed standard range, a speed adjustment parameter is generated based on the injection speed, and the injection speed of injecting honey into the third honey bag is controlled based on the speed adjustment parameter.

[0016] By employing the above technical solution, the time for injecting honey into the second honey bag, i.e., the first duration, is obtained. Based on the calculated third mass and the first duration, the honey injection speed during this injection process is derived using a physical calculation formula. The calculated injection speed is compared with a preset injection speed standard range to determine if it exceeds the range. If the injection speed is higher than the upper limit of the standard range or lower than the lower limit, a speed adjustment parameter is generated based on the current injection speed, and the injection speed of the third honey bag is controlled according to this parameter. This technical solution monitors the filling speed by detecting the injection time and calculating the injection speed, enabling rapid detection and adjustment of abnormal injection speeds. This ensures a smooth filling process, avoids filling quality problems caused by abnormal injection speeds, and optimizes the stability of filling quality.

[0017] Optionally, the average of each first deviation value and each second deviation value is calculated according to the mean algorithm to obtain each quality deviation; the obtained quality deviations are accumulated to obtain the cumulative quality deviation value; the difference between two adjacent quality deviations is calculated, and the deviation change rate is obtained according to the difference and the preset sampling interval.

[0018] By employing the above technical solution and using a mean-averaging algorithm, the arithmetic mean of the first and second deviation values ​​is calculated as the quality deviation. Multiple calculated quality deviations are then summed sequentially to obtain the cumulative quality deviation value. The difference between two adjacent quality deviations is calculated, and based on the sampling time interval, a differential calculation is used to obtain the rate of change of the quality deviation, i.e., the deviation change rate. By calculating the average value, cumulative value, and rate of change of the quality deviation, the absolute error, cumulative error, and error change trend of the filling quality can be more comprehensively reflected. This is beneficial for determining an accurate and reasonable target deviation value based on a comprehensive analysis of multiple deviation indicators, thereby guiding subsequent parameter adjustments and achieving high-precision, high-stability automatic filling control.

[0019] Optionally, a proportional control output value is calculated based on the target deviation value and a preset proportional gain value; an integral control output value is calculated based on the cumulative mass deviation value and a preset integral gain value; a differential control output value is calculated based on the mass deviation change rate and a preset differential gain value; and the proportional control output value, the integral control output value, and the differential control output value are summed to obtain the filling adjustment parameters.

[0020] By adopting the above technical solution, the proportional control output value is calculated using the proportional control principle based on the target deviation value and the preset proportional gain. The integral control output value is calculated using the integral control principle based on the cumulative quality deviation value and the preset integral gain. The derivative control output value is calculated using the derivative control principle based on the deviation change rate and the preset derivative gain. The summation of these three control output values, i.e., the application of the PID control algorithm, yields the final filling adjustment parameters. This technical solution applies PID control theory, comprehensively considering three factors: current deviation, cumulative deviation, and deviation change trend. It can generate filling parameters in real time and accurately, achieving fine closed-loop control of the honey filling process. This improves filling stability and product consistency, realizing automated and intelligent precision honey filling.

[0021] Optionally, the amount of honey injected corresponding to the filling adjustment parameter is determined according to the injection volume mapping table; a control scheme is generated according to the amount of honey injected, and the filling machine equipment is controlled to operate according to the control scheme.

[0022] By adopting the above technical solution, the specific honey injection amount corresponding to the calculated filling adjustment parameters is determined based on a preset mapping table between filling adjustment parameters and honey injection volume. Based on the determined honey injection volume, a corresponding filling equipment control scheme is generated through the filling program. Control signals are output according to this control scheme to drive the filling equipment to achieve precise honey injection. This technical solution obtains the injection volume setting by looking up a table and then converts it into an executable control scheme for the equipment, realizing the correspondence between filling parameters and equipment control. It can precisely control the operation of the filling equipment according to the calculation results, thereby ensuring that the honey injection volume strictly meets the expected requirements.

[0023] Optionally, the honey quality of several target bags is acquired at preset intervals; the rate of change of the honey quality of the several target bags during the preset intervals is statistically analyzed; the rate of change of the honey quality is compared with a preset first speed threshold and a preset second speed threshold, wherein the preset first speed threshold is greater than the preset second speed threshold; if the rate of change of the honey quality is greater than or equal to the preset first speed threshold, the filling equipment is stopped, and an alarm message is generated and sent to the user terminal; if the rate of change of the honey quality is greater than or equal to the preset second speed threshold and less than the preset first speed threshold, the steps of adjusting the corresponding working parameters of the filling equipment according to the filling adjustment parameters are repeated, and a prompt message is generated and sent to the maintenance personnel terminal; if the rate of change of the honey quality is less than the preset second speed threshold, the steps of acquiring the honey quality of several target bags at the preset intervals are repeated.

[0024] By employing the above technical solution, the quality of multiple filled target bags of honey is periodically acquired at preset time intervals. The rate of change of honey quality in these bags within this period is statistically analyzed. The statistically obtained rate of change is compared with two preset thresholds, where the first threshold is greater than the second threshold. If the rate of change is greater than or equal to the first threshold, the filling equipment is stopped and an alarm message is sent. If the rate of change is between the two thresholds, the filling parameters are readjusted to control the filling equipment, and a prompt message is sent. If the rate of change is less than the second threshold, periodic monitoring continues. This technical solution, by setting dual thresholds to detect the rate of change in quality, can provide early warning and rapid response to equipment failures and product quality defects, improving production line stability. Simultaneously, it differentiates between different levels of quality problems and adopts different countermeasures, achieving refined quality control.

[0025] A second aspect of this application provides a system for an automatic filling method for bagged honey.

[0026] The information acquisition module is used to acquire the first mass of honey contained in the first honey bag at a first moment, wherein the first honey bag includes at least one second honey bag that has been filled with honey;

[0027] An information processing module is used to determine a second mass of honey contained in the second honey bag based on the first mass and the number of the second honey bags;

[0028] The data calculation module is used to compare each of the second masses with the standard mass to obtain each first deviation value; obtain the current honey viscosity; determine each second deviation value based on the honey viscosity and the second mass; and determine each target deviation value based on each first deviation value and each second deviation value.

[0029] The parameter adjustment module is used to determine the adjustment parameters based on the target deviation value, and to control the quality of honey injected into the third honey bag based on the adjustment parameters, wherein the third honey bag is a honey bag without honey.

[0030] A third aspect of this application provides an electronic device.

[0031] A system for an automatic filling method for bagged honey includes a memory, a processor, and a program stored in the memory and executable on the processor, which, when loaded and executed by the processor, implements an automatic filling method for bagged honey.

[0032] A fourth aspect of this application provides a computer-readable storage medium.

[0033] A computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement an automatic filling method for bagged honey.

[0034] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0035] 1. This application obtains the total mass of a first honey bag containing multiple second honey bags, and determines the mass of honey in each second honey bag, i.e., the second mass, based on the number of second honey bags. Then, the obtained multiple second masses are compared with standard masses to calculate the mass deviation value of each second honey bag, i.e., the first deviation value. The viscosity parameter of the honey is acquired in real time, and the viscosity deviation value of each second honey bag is determined based on the correspondence between honey viscosity and the second mass, i.e., the second deviation value. Combining the first and second deviation values, a target deviation value is determined for each second honey bag. The corresponding filling parameters are determined based on the target deviation value, and the filling quality of honey into unfilled third honey bags is controlled according to these filling parameters. By obtaining the total mass of the first honey bag to calculate the mass of the second honey bag, and combining this with changes in honey viscosity to determine the target deviation, the filling parameters can be corrected in real time, effectively solving the filling quality problem caused by honey viscosity fluctuations in the background technology. This achieves fully automatic control of the filling process and improves production efficiency.

[0036] 2. This application achieves monitoring of filling speed by detecting injection time and calculating injection speed. It can quickly detect and adjust abnormal injection speed, thereby ensuring a smooth filling process and avoiding filling quality problems caused by abnormal injection speed, thus optimizing the stability of filling quality.

[0037] 3. This application uses PID control to comprehensively consider three factors: current deviation, cumulative deviation, and deviation trend, to determine the target deviation value. It can generate filling parameters in real time and accurately, achieving precise closed-loop control of the honey filling process, improving filling stability and product consistency, and realizing automated and intelligent precision honey filling. Attached Figure Description

[0038] Figure 1 This is a flowchart illustrating an automatic filling method for bagged honey provided in an embodiment of this application.

[0039] Figure 2 This is a schematic diagram of the injection speed detection of an automatic filling method for bagged honey provided in an embodiment of this application.

[0040] Figure 3 This is a schematic diagram of the system structure of an automatic filling method for bagged honey disclosed in an embodiment of this application.

[0041] Figure 4 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0042] Explanation of reference numerals in the attached drawings: 301, Information acquisition module; 302, Information processing module; 303, Data calculation module; 304, Parameter adjustment module; 400, Electronic device; 401, Processor; 402, Memory; 403, User interface; 404, Network interface; 405, Communication bus. Detailed Implementation

[0043] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0044] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0045] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0046] To facilitate understanding of the methods and systems provided in the embodiments of this application, the background of the embodiments of this application will be introduced before introducing the embodiments of this application.

[0047] Currently, in the traditional small-bag honey production process, the factory environment can affect the viscosity of the honey, causing fluctuations in the viscosity. This, in turn, affects the quality of the honey output during the filling machine operation, resulting in deviations in the quality of the honey injected into the honey bags.

[0048] This application discloses an automatic filling method for bagged honey. The method involves acquiring the total mass of a first honey bag in a timely manner and counting the number of individual bags within the large bag, thereby calculating the average honey mass of each individual bag. This average mass is compared with a standard mass to obtain a first deviation value for each bag. The honey viscosity is also monitored in real time, and a second deviation value caused by viscosity changes is determined based on the individual bag mass. Combining these two deviations, a target deviation value for each individual bag is derived. Based on the target deviation value, quality adjustment parameters for subsequent bag filling are determined. This achieves the effect of automatically adjusting the injection parameters during the filling machine operation through error feedback. It primarily addresses the problem of honey viscosity fluctuations affecting the quality of honey output during filling machine operation, leading to deviations in the quality of honey injected into the honey bags.

[0049] Having read the background information above, those skilled in the art can understand the problems existing in the prior art. The technical solutions in the embodiments of this application will be described in detail below with reference to the accompanying drawings. The described embodiments are only some embodiments of this application, and not all embodiments.

[0050] Reference Figure 1 An automatic filling method for bagged honey, the method comprising steps S10 to S40, specifically including the following steps:

[0051] S10: At a first moment, obtain the first mass of honey contained in the first honey bag, the first honey bag including at least one second honey bag already filled with honey.

[0052] The automated honey filling production line is equipped with an electronic weighing device and an incoming material packaging device. When small bags of honey exit the filling machine, they are first weighed by the electronic weighing device. When the total weight of multiple small bags of honey reaches a preset value, these small bags are packaged together by the incoming material packaging device into a single unit, and the outer packaging is automatically completed, forming a finished package, which is called the first honey bag.

[0053] The second honey bag refers to the individual small packets of honey products that make up the first honey bag, which are filled by a filling machine. One first honey bag contains multiple second honey bags. After these small packets of honey are filled and shaped, they are weighed by an electronic weighing device, and once the set total weight is reached, they are automatically packaged into a first honey bag.

[0054] Specifically, at the first moment when the first honey bag passes under the electronic weighing sensor, the sensor detects the total weight of the first honey bag, i.e., the first mass, in real time and sends the first mass to the system.

[0055] S20: Determine the second mass of honey contained in the second honey bag based on the first mass and the number of second honey bags.

[0056] A photoelectric sensor is installed at the outlet of the filling machine to detect and count the number of second honey bags output by the packaging machine. The photoelectric sensor can accurately detect each passing second honey bag and transmit the detection signal to the system in real time. The system counts and analyzes the signals from the photoelectric sensor, monitoring and recording the production quantity of second honey bags in real time.

[0057] Specifically, the number of second honey bags in this batch is detected and counted in real time using photoelectric sensors, yielding the total number n of second honey bags. An electronic weighing sensor is installed at the end of the conveyor belt to detect the total weight m of the first packaged honey bags passing through. By averaging the total number n of second honey bags with the total weight m of the first honey bags (i.e., averaging the weights of the first and second bags), the average weight of honey in each second honey bag can be accurately obtained. This method of calculating the weight of a single second bag based on the relationship between the weight of the first and the number of second honey bags avoids weighing each bag individually, simplifying the system and reducing costs. Furthermore, using the total weight and quantity to determine the individual weight is convenient and quick, improving efficiency. Ensuring the accurate calculation of the weight of each second bag provides a basis for subsequent quality control, achieving automated and precise production.

[0058] S30: Compare each second mass with the standard mass to obtain each first deviation value; obtain the current honey viscosity, and determine each second deviation value based on the honey viscosity and the second mass.

[0059] In this context, "standard quality" refers to the pre-set quality standard value that each second honey bag needs to achieve in the automated honey packaging production line. The specific setting process includes: 1. **Value:** The standard quality has a specific numerical value representing the weight the second honey bag should achieve after filling and packaging, such as 300 grams. 2. **Error Range:** Since errors are difficult to completely avoid during measurement and filling, the standard quality is preset with an acceptable error range, such as ±5 grams. 3. **Setting Basis:** The standard quality setting is pre-determined based on factors such as the honey's density, concentration, and packaging bag capacity to ensure quality consistency. 4. **Record and Storage:** The determination and setting of the standard quality involves detailed calculations and parameter records, which are input into the production line's control system for storage and serve as a basis for quality judgment. 5. **Adjustment and Updates:** The standard quality setting can be modified and optimized as needed based on changes in raw materials to ensure its adaptability.

[0060] Honey viscosity refers to the degree of viscosity of honey, and it is an important parameter for characterizing the quality and composition of honey.

[0061] When viscosity increases, honey's flowability decreases, potentially slowing the filling process and resulting in a reduction in the weight of honey in each bag. Conversely, if viscosity decreases, flowability increases, potentially leading to a increase in the weight of honey in each bag. Changes in honey viscosity will alter the weight of honey flowing into the bag within the same timeframe. Changes in honey viscosity can also accelerate wear on filling equipment, affecting the accuracy of the filling process.

[0062] Specifically, the system pre-sets a standard mass value M for the second honey bag. Upon receiving the mass m of each second honey bag (the second mass), the system immediately compares it with the standard mass M, calculating the mass deviation as the first deviation value. Simultaneously, a viscosity detection device is installed at the sensor to monitor the viscosity n of the passing raw honey in real time. Based on this viscosity n, the system determines the third mass of the second honey bag at that viscosity value and compares it with the standard mass M; the difference is taken as the second deviation value. This method considers both the actual finished product quality and the raw material properties, allowing for a more comprehensive and accurate determination of quality deviation control parameters. This provides a more reliable and accurate basis for subsequent closed-loop control, thereby improving the control precision and stability of the entire production line.

[0063] In one optional embodiment of this application, the specific process of determining the third mass and calculating the second deviation value based on honey viscosity includes: setting a viscosity detection device at the sensor to monitor the viscosity value n of the raw honey passing through the conveyor belt in real time. The central control system stores a preset mapping table of honey viscosity and density. After obtaining the viscosity value n, the system looks up the honey density d corresponding to the viscosity n according to the mapping table. Then, the system reads the preset standard second honey bag capacity parameter and calculates the theoretical mass value a based on the density d. The mass sensor has collected the actual mass m of each second honey bag, i.e., the second mass. The system compares the calculated theoretical mass a with the second mass m, and the difference between the theoretical mass a and the second mass m is used as the second deviation value. In this way, the influence of honey viscosity changes on its density and theoretical mass is considered, and by comparing it with the actual mass, the mass deviation can be determined more accurately, thereby improving the accuracy of quality control. This provides a more reliable basis for subsequent closed-loop control, making the automatic control of the entire production line more intelligent and adaptable.

[0064] Reference Figure 2 Based on the above embodiments, there is also a process of adjusting the honey injection speed according to the honey viscosity, specifically including steps S31 to S33:

[0065] S31: Obtain the first duration for which honey is contained in the second honey bag, where the first duration is the duration for which honey is injected into the second honey bag.

[0066] The first duration refers to the time taken for the complete process of filling the honey from the storage tank into a single second honey bag.

[0067] For example, the filling machine is equipped with a time detection device to detect the injection time of honey from the storage tank into each second honey bag. When honey injection begins, the time detection module starts timing. When it detects that the honey bag is full and has been transferred away, it records and saves the duration of this honey injection as the first duration. This first duration reflects the complete process time of the honey being injected from the storage tank into a single second honey bag. Obtaining the injection duration allows monitoring whether the execution time of each packaging process is normal. Too long a duration may indicate pipeline blockage, while too short a duration may indicate abnormalities such as insufficient injection volume. The injection duration is also related to the viscosity of the honey. For example, if the honey viscosity is high, the filling machine will reduce the speed when injecting honey into the honey bag. Analyzing the injection duration helps to calculate parameters such as flow rate. By detecting the duration parameter, the operation status of the entire automated production process can be monitored more comprehensively, problems can be detected and dealt with in a timely manner, and the continuous and stable operation of the production line can be ensured.

[0068] S32: Calculate the injection speed corresponding to the honey viscosity based on the third mass and the first duration.

[0069] The injection speed is a key technical parameter reflecting the flow rate of honey from the storage tank to the target honey bag on the automated packaging production line. The injection speed is detected by real-time monitoring of the mass of each second honey bag, combined with a time detection module to obtain the corresponding injection duration. Based on the mass and time parameters, the injection speed of honey from the storage tank to a single bag is calculated.

[0070] For example, after acquiring the third mass and the first duration, the system calculates the honey injection rate under the current honey viscosity conditions using the formula for calculating the honey injection rate. This injection rate reflects the actual flow rate of the honey in the pipeline, allowing the system to determine whether the honey is being transported smoothly, monitor the production line's operating status, and detect faults such as pipeline blockages. By detecting the key parameter injection rate, the automated production process can be comprehensively monitored and analyzed, problems can be identified and addressed promptly, and the system can be guaranteed to operate stably and efficiently.

[0071] S33: Determine whether the injection speed exceeds the preset injection speed standard range; if the injection speed is greater than or equal to the upper limit of the preset injection speed standard range or less than or equal to the lower limit of the preset injection speed standard range, then generate speed adjustment parameters based on the injection speed, and control the injection speed of honey into the third honey bag based on the speed adjustment parameters.

[0072] The preset injection speed standard range is an ideal range of honey injection speed determined based on factors such as honey properties, pipeline transmission characteristics, and the mechanical strength of the packaging bag. This ideal range of honey injection speed is derived from a combination of laboratory data and actual data collected by staff on-site. This range is represented by a maximum speed upper limit and a minimum speed lower limit, indicating the highest and lowest permissible honey injection speed under automated production conditions, respectively.

[0073] For example, the system pre-sets a standard range for honey injection speed, which consists of a maximum speed limit (upper limit) and a minimum speed limit (lower limit). After detecting the injection speed of each second honey bag, the system determines whether the injection speed falls within the preset standard range. If the injection speed is greater than or equal to the maximum limit and less than the minimum limit, it indicates an abnormality in the honey injection process. The system then automatically generates speed adjustment parameters according to a formula. These parameters are sent to the filling machine to adjust its operating speed and bring the injection speed back within the standard range. This method achieves closed-loop control of the critical parameter injection speed, effectively suppressing speed abnormalities, ensuring the stability of the entire injection process, preventing product and equipment problems, and thus ensuring the continuous, stable, and efficient operation of the automated packaging line.

[0074] S40: Determine each target deviation value based on each first deviation value and each second deviation value; determine the adjustment parameter based on the target deviation value, and control the quality of honey injected into the third honey bag based on the adjustment parameter. The third honey bag is a honey bag without honey.

[0075] Specifically, after acquiring the first and second deviation values, the system combines these values ​​using a preset algorithm to determine the target deviation value for the bag. The target deviation value reflects the difference between the current bag and the standard quality. The system then uses a PID algorithm to convert the target deviation value into an adjustment parameter for the honey injection amount. This parameter is fed into the filling device for the third honey bag, and the honey injection amount is fine-tuned in real time based on the parameter to eliminate the deviation and bring the quality of the third bag closer to the standard. By combining quality detection with closed-loop control, the injection amount of each bag is adjusted in real time, achieving precise monitoring and optimization of the fully automated packaging process and ensuring stable product quality.

[0076] In another optional embodiment of this application, the specific steps of the system using a preset algorithm to combine the first deviation value and the second deviation value as the target deviation value for the bag include: the system continuously detects and obtains the first deviation value and the second deviation value for each second honey bag. To evaluate the overall deviation level, the system applies a mean algorithm to calculate the arithmetic mean of all the first deviation values ​​and the second deviation values ​​as the quality deviation. This parameter reflects the average quality error of the entire process. Then, the system accumulates each quality deviation to obtain the cumulative quality deviation value. This value represents the accumulation trend of the overall quality deviation. The system also calculates the difference between two adjacent quality deviations and combines it with the sampling interval time to obtain the rate of change of the quality deviation. The rate of change reflects the trend of deviation change. By combining the three parameters of quality deviation, cumulative deviation, and rate of change, the process quality control effect can be comprehensively evaluated, providing richer feedback for subsequent closed-loop control, so as to achieve precise monitoring and optimization of the automatic packaging process and ensure the stability of product quality.

[0077] In another optional embodiment of this application, the specific process of converting the target deviation value into the honey injection amount using a PID algorithm includes: the system has obtained the current honey bag's quality deviation, cumulative quality deviation value, and rate of change of quality deviation. To accurately adjust the injection amount of the next bag, the system multiplies the target deviation value by a preset proportional gain to obtain a proportional control output. Simultaneously, the system multiplies the cumulative deviation value by an integral gain to obtain an integral control output; and multiplies the rate of change of deviation by a derivative gain to obtain a derivative control output. Finally, the above three outputs are summed and merged to obtain the PID adjustment parameters for the filling process. These PID parameters contain comprehensive information on the current error, cumulative error, and error change trend. Inputting them into the filling actuator allows for fine adjustment of the injection amount of the next bag, enabling the quality to quickly approach the standard, thereby achieving high-precision closed-loop control. This control strategy combines feedback, prediction, and stability characteristics, significantly improving the automation accuracy and quality stability of the packaging process.

[0078] In a preferred embodiment of this application, the system monitors the quality change trend of honey in real time during the injection process, thereby providing early warnings for abnormal situations. The specific process includes: the system collects quality data from multiple packaged target honey pouches at preset intervals and calculates the rate of change of this quality data within one collection cycle, i.e., the quality change rate. The system then compares the calculated quality change rate with two preset speed thresholds. The first speed threshold is higher than the second speed threshold. If the change rate is greater than or equal to the first speed threshold, it indicates that the process is out of control, and the filling equipment is immediately stopped and an alarm message is sent to the user terminal. If the rate is between the second and first thresholds, the adjustment parameters are repeatedly optimized, and a prompt is sent to maintenance personnel for guidance and inspection. If the rate is lower than the second threshold, the process is considered stable, and quality data collection and monitoring continue periodically. By setting multi-level speed thresholds to continuously monitor the packaging quality change trend, process abnormalities can be quickly detected and responded to, and adjustment schemes can be optimized in a timely manner, thereby ensuring the stable, controllable, and efficient continuous operation of the entire automated honey packaging production line.

[0079] The following are system embodiments of this application, which can be used to execute the method embodiments of this application. For details not disclosed in the platform embodiments of this application, please refer to the method embodiments of this application.

[0080] Reference Figure 3 This application provides a system for an automatic filling method of bagged honey, comprising: an information acquisition module 301, an information processing module 302, a data calculation module 303, and a parameter adjustment module 304, wherein:

[0081] Information acquisition module 301 is used to acquire the first mass of honey contained in the first honey bag at a first moment, the first honey bag including at least one second honey bag that has been filled with honey;

[0082] Information processing module 302 is used to determine the second mass of honey contained in the second honey bag based on the first mass and the number of second honey bags;

[0083] The data calculation module 303 is used to compare each second quality with the standard quality to obtain each first deviation value; obtain the current honey viscosity; determine each second deviation value based on the honey viscosity and the second quality; and determine each target deviation value based on each first deviation value and each second deviation value.

[0084] The parameter adjustment module 304 is used to determine the adjustment parameters based on the target deviation value, and to control the quality of honey injected into the third honey bag according to the adjustment parameters. The third honey bag is a honey bag that has not been injected with honey.

[0085] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0086] This application also discloses an electronic device. (See reference...) Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 400 may include: at least one processor 401, at least one network interface 404, a user interface 403, a memory 402, and at least one communication bus 405.

[0087] The communication bus 405 is used to enable communication between these components.

[0088] The user interface 403 may include a display interface and a camera interface. Optionally, the user interface 403 may also include a standard wired interface and a wireless interface.

[0089] The network interface 404 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0090] The processor 401 may include one or more processing cores. The processor 401 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 402, and by calling data stored in memory 402. Optionally, the processor 401 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 401 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface graphics, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 401 and may be implemented as a separate chip.

[0091] The memory 402 may include random access memory (RAM) or read-only memory. Optionally, the memory 402 may include a non-transitory computer-readable storage medium. The memory 402 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 402 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 402 may also be at least one storage device located remotely from the aforementioned processor 401. (Refer to...) Figure 4 The memory 402, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for an automatic filling method for bagged honey.

[0092] exist Figure 4In the illustrated electronic device 400, the user interface 403 is mainly used to provide an input interface for the user and to acquire user input data; while the processor 401 can be used to call an application program stored in the memory 402 for an automatic filling method of bagged honey. When executed by one or more processors 401, the electronic device 400 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0093] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0094] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0097] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0098] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will readily conceive of those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0099] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. An automatic filling method for bagged honey, characterized in that, include: At a first moment, a first mass of honey contained in a first honey bag is obtained, the first honey bag including at least one second honey bag already filled with honey; Based on the first mass and the number of the second honey bags, determine the second mass of honey contained in the second honey bag; Each second mass is compared with the standard mass to obtain each first deviation value; Obtain the current honey viscosity, and determine each second deviation value based on the honey viscosity and the second mass; Based on the first deviation value and the second deviation value, determine the target deviation value; Based on the target deviation value, an adjustment parameter is determined, and the quality of honey injected into the third honey bag is controlled according to the adjustment parameter, wherein the third honey bag is a honey bag without honey. The target deviation value includes the quality deviation, the cumulative quality deviation, and the rate of change of quality deviation. Determining the target deviation value based on the first deviation value and the second deviation value includes: According to the mean value algorithm, the average value of each first deviation value and each second deviation value is calculated to obtain each quality deviation; The acquired quality deviations are summed to obtain the cumulative value of the quality deviation; Calculate the difference between two adjacent quality deviations in each quality deviation, and obtain the deviation change rate based on the difference and the preset sampling interval; After obtaining the individual quality deviations, the cumulative value of quality deviations, and the rate of change of deviations, the method further includes: The proportional control output value is calculated based on the target deviation value and the preset proportional gain value. The integral control output value is calculated based on the cumulative value of the quality deviation and the preset integral gain value. The differential control output value is calculated based on the rate of change of the quality deviation and the preset differential gain value. The filling adjustment parameters are obtained by summing the proportional control output value, the integral control output value, and the derivative control output value.

2. The automatic filling method for bagged honey according to claim 1, characterized in that, The determination of each second deviation value based on the honey viscosity and the second mass includes: Determine the honey density corresponding to the honey viscosity based on the honey density mapping table; The third mass is calculated based on the honey density and the capacity of the standard second honey bag; The difference between the third mass and the second mass is calculated to obtain the second deviation value.

3. The automatic filling method for bagged honey according to claim 2, characterized in that, After calculating the third mass based on the honey density and the capacity of the standard second honey bag, the process further includes: The first duration of time in which the honey is contained in the second honey bag is obtained, wherein the first duration is the duration of time during which the honey is injected into the second honey bag; The injection speed corresponding to the honey viscosity is calculated based on the third mass and the first duration. Determine whether the injection speed exceeds the preset injection speed standard range; If the injection speed is greater than or equal to the upper limit of the preset injection speed standard range or less than or equal to the lower limit of the preset injection speed standard range, then a speed adjustment parameter is generated based on the injection speed, and the injection speed of honey into the third honey bag is controlled based on the speed adjustment parameter.

4. The automatic filling method for bagged honey according to claim 1, characterized in that, After summing the proportional control output value, the integral control output value, and the derivative control output value to obtain the filling adjustment parameters, the method further includes: The amount of honey injected corresponding to the filling adjustment parameters is determined according to the injection volume mapping table. Based on the amount of honey injected, a control scheme is generated, and the filling machine equipment is controlled to operate according to the control scheme.

5. The automatic filling method for bagged honey according to claim 1, characterized in that, After controlling the quality of honey injected into the third honey bag according to the adjustment parameters, the method further includes: According to a preset interval period, obtain the quality of honey from several target bags; The rate of change of honey mass in the target bags during the preset interval period is statistically analyzed. The rate of change of honey quality is compared with a preset first speed threshold and a preset second speed threshold, wherein the preset first speed threshold is greater than the preset second speed threshold. If the rate of change in honey quality is greater than or equal to the preset first speed threshold, the filling machine will stop and an alarm message will be generated and sent to the user terminal. If the rate of change in honey quality is greater than or equal to the preset second speed threshold and less than the preset first speed threshold, then the step of adjusting the working parameters of the filling machine according to the filling adjustment parameters is repeated, and a prompt message is generated and sent to the maintenance personnel's terminal. If the rate of change in honey quality is less than the preset second speed threshold, then the step of obtaining the honey quality of several target bags at the preset interval is repeated.

6. A system for automatically filling bagged honey, characterized in that, The system includes: Information acquisition module (301) is used to acquire the first mass of honey contained in the first honey bag at a first moment, the first honey bag including at least one second honey bag that has been filled with honey; Information processing module (302) is used to determine the second mass of honey contained in the second honey bag based on the first mass and the number of the second honey bags; The data calculation module (303) is used to compare each of the second masses with the standard mass to obtain each of the first deviation values; obtain the current honey viscosity; determine each of the second deviation values ​​based on the honey viscosity and the second mass; and determine each of the target deviation values ​​based on the first deviation values ​​and the second deviation values. The parameter adjustment module (304) is used to determine the adjustment parameter according to the target deviation value, and to control the quality of honey injected into the third honey bag according to the adjustment parameter, wherein the third honey bag is a honey bag without honey; The target deviation value includes the quality deviation, the cumulative quality deviation, and the rate of change of quality deviation. Determining the target deviation value based on the first deviation value and the second deviation value includes: According to the mean value algorithm, the average value of each first deviation value and each second deviation value is calculated to obtain each quality deviation; The acquired quality deviations are summed to obtain the cumulative value of the quality deviation; Calculate the difference between two adjacent quality deviations in each quality deviation, and obtain the deviation change rate based on the difference and the preset sampling interval; After obtaining the individual quality deviations, the cumulative value of quality deviations, and the rate of change of deviations, the method further includes: The proportional control output value is calculated based on the target deviation value and the preset proportional gain value. The integral control output value is calculated based on the cumulative value of the quality deviation and the preset integral gain value. The differential control output value is calculated based on the rate of change of the quality deviation and the preset differential gain value. The filling adjustment parameters are obtained by summing the proportional control output value, the integral control output value, and the derivative control output value.

7. An electronic device, characterized in that, The device includes a processor (401), a memory (402), a user interface (403), and a network interface (404). The memory (402) is used to store instructions. The user interface (403) and the network interface (404) are used to communicate with other devices. The processor (401) is used to execute the instructions stored in the memory (402) to cause the electronic device to perform the automatic filling method for bagged honey as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the automatic filling method for bagged honey as described in any one of claims 1-5.

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