A solid waste processing system for a kitchen waste processor

Abstract

The present application relates to kitchen solid waste treatment technical field, disclose a kind of solid waste treatment system for kitchen waste processor, comprising: grinding module has primary and secondary grinding function;Filter element module contains first and second filter element, sequentially connected in grinding module, the liquid and gas generated by grinding are filtered;The collection unit of control module determines grinding speed and duration;After grinding duration is up to standard, whether the treatment is qualified is judged according to discharge size and motor load data, qualified then export garbage, unqualified then judge whether grinding module is normal, normal time carries out secondary grinding.Processing unit is responsible for determining the speed and duration of secondary grinding;Alarm module judges the eligibility of garbage after secondary grinding, and sends out alarm signal when unqualified.The present application can automatically adjust grinding intensity and time according to the actual situation of garbage, overcome the problem of lack of intelligent control of traditional equipment, effectively improve the processing efficiency, reduce energy waste.

Description

Technical Field

[0001] This invention relates to the field of kitchen waste treatment technology, and more specifically, to a solid waste treatment system for a kitchen waste processor. Background Technology

[0002] Food waste disposers, as convenient waste disposal equipment, are widely used in home kitchens, restaurants, canteens, and other places. They use an internal grinding system to crush and grind food waste into fine particles, which are then flushed down the drain with water and enter the sewage treatment system. This achieves rapid processing of food waste, reduces waste accumulation, and maintains a clean and hygienic kitchen environment. However, in actual use, due to the complex composition of food waste, varying processing volumes, and the inherent characteristics of the equipment, the processing effect of food waste disposers is often affected by various factors, making it difficult to achieve ideal results.

[0003] Traditional food waste disposers rely primarily on fixed program controls or manual adjustments to process food waste, resulting in a relatively simplistic process. For instance, when encountering food waste of varying hardness and moisture content, such as bones and fruit peels, simple grinding modes are insufficient, easily leading to jamming and incomplete grinding. Furthermore, current solid waste treatment systems lack real-time monitoring and intelligent adjustment of the processing, failing to automatically adjust grinding intensity and time based on the quantity and composition of the waste, resulting in low processing efficiency and potential energy waste.

[0004] Therefore, it is necessary to develop a more advanced and intelligent solid waste treatment system for kitchen waste to solve the problem of the current system's lack of intelligent control and improve the efficiency and quality of kitchen waste treatment. Summary of the Invention

[0005] In view of this, the present invention proposes a solid waste treatment system for a kitchen waste processor, aiming to solve the problem of lack of intelligent control in the current technology.

[0006] The present invention proposes a solid waste treatment system for a food waste processor, comprising:

[0007] The grinding module is used to perform primary and secondary grinding of kitchen waste; the grinding module is provided with several feed inlets, each of which is used to add the same type of kitchen waste;

[0008] A filter module includes a first filter element and a second filter element. The filter module is used to filter liquids and gases in the grinding module to remove odors. The grinding module, the first filter element, and the second filter element are connected in sequence. The first filter element is used to adsorb liquids and remove odors initially, and the second filter element is used to remove odors a second time.

[0009] The control module includes a data acquisition unit, a judgment unit, and a processing unit; the data acquisition unit is configured to acquire kitchen waste data and determine the grinding speed and grinding time based on the kitchen waste data; the kitchen waste data includes the type of waste and its corresponding hardness, mass, and size.

[0010] The judgment unit is configured to, after the grinding time is met, acquire the output size of the kitchen waste and the motor load data of the grinding module, and make a qualification judgment based on the output size and motor load data; when the kitchen waste is judged to be qualified, the kitchen waste in the grinding module is exported; when the kitchen waste is judged to be unqualified, the grinding module is judged to be normal based on the motor load data; when the grinding module is normal, it is judged that a second grinding is required.

[0011] The processing unit is configured to determine the secondary grinding speed and the secondary grinding duration when performing secondary grinding.

[0012] The alarm module is configured to determine the suitability of kitchen waste after secondary grinding, and to issue an alarm signal when the waste fails to meet the requirements.

[0013] When the judgment unit issues an alarm command, it issues an alarm signal.

[0014] Furthermore, when the acquisition unit determines the grinding speed based on the kitchen waste data, it includes:

[0015]

[0016] Where N is the grinding speed; k is the comprehensive correction coefficient, with a value range of [0.5, 2]; H is the hardness of the kitchen waste; M is the mass of the kitchen waste; S is the size of the kitchen waste; a, b, and c are the first, second, and third weighting coefficients, respectively, and a+b+c=1.

[0017] Furthermore, when the data acquisition unit determines the grinding time based on the kitchen waste data, it includes:

[0018]

[0019] Where T is the grinding time; T0 is the initial grinding time; k1 is the comprehensive grinding time coefficient, with a value range of [5,20]; k2 is the hardness influence coefficient; and k3 is the size influence coefficient, with a value range of [0.2,0.6].

[0020] Furthermore, when the judgment unit performs a qualification judgment based on the output size and motor load data, it includes:

[0021] The image after grinding is acquired and identified. The size of the kitchen waste is obtained based on the image after grinding. The load data of the motor is acquired and the first load data of the preset time before the end of grinding is captured.

[0022] Obtain standard load data of the motor, and calculate the similarity between the standard load data and the first load data. Align the first load data and the standard load data at the time point when the grinding ends. The similarity is the sum of the differences between the first load data and the standard load data at each same time point.

[0023] If the similarity is less than or equal to a preset similarity threshold, the result is deemed unqualified.

[0024] When the similarity is greater than a preset similarity threshold, the relationship between the size and the size threshold is further determined. When the size is less than or equal to the preset size threshold, it is determined to be unqualified. When the size is greater than the preset size threshold, it is determined to be qualified.

[0025] Furthermore, when selecting the standard load data, the standard load data that is the same as or closest to the current mass of kitchen waste is selected.

[0026] Furthermore, when it is determined that the processing of kitchen waste is substandard, the method for determining whether the grinding module is functioning properly based on the motor load data includes:

[0027] Obtain the first load data at the time of the qualification judgment, and calculate the slopes of the standard load data and the first load data respectively;

[0028] The slope of the first load data is divided into several data groups of equal size, and these data groups are arranged as a time series. 2 A data matrix; arbitrarily select a point in the data matrix as a feature point; form a circular area with the feature point as the center and a preset diameter;

[0029] Calculate the average value of all data within the circular area, determine the relationship between the difference between the data value and the average value and a preset data threshold, and determine that the feature point is a non-compliant point when the difference is greater than the data threshold;

[0030] When the data matrix contains a defective point, the grinding module is determined to be malfunctioning. When the grinding module is determined to be malfunctioning, the judgment unit sends an alarm signal to the alarm module.

[0031] Furthermore, when the processing unit determines the secondary grinding speed and the secondary grinding duration, it includes:

[0032] After screening the secondary grinding historical data that are deemed qualified, the historical secondary grinding speed and duration are obtained. The grinding speed and duration when the current kitchen waste has the same mass and size are selected as the secondary grinding speed and duration, respectively.

[0033] Furthermore, when there is no grinding speed and grinding time with the same mass and size as the current kitchen waste, the secondary grinding speed is determined by the following relationship:

[0034]

[0035] N2=N max ×(1-r)×(1-α);

[0036] Among them, H max M max S max These represent the maximum permissible hardness, maximum permissible mass, and maximum permissible size, respectively; r is the basic rotation speed adjustment factor, N2 is the secondary grinding speed, and α is the overload adjustment coefficient, with the value of α ranging from [0.1, 0.3].

[0037] Furthermore, when there is no grinding speed and grinding time with the same mass and size as the current kitchen waste, the secondary grinding time is determined by the following relationship:

[0038]

[0039] Apply boundary constraints to T2:

[0040] T2 = max(T) min ,min(T max ,T2));

[0041] Where T2 is the secondary grinding time, T is the grinding time, S1 is the size of the output material after the primary grinding, and S... threshold The pre-set acceptable output size.

[0042] Furthermore, the kitchen waste after secondary grinding is assessed for compliance. If it fails the assessment, an alarm signal is issued, including:

[0043] Images of the food waste after secondary grinding are collected, and the secondary dimensions of the food waste are obtained. When the secondary dimensions are less than or equal to the size threshold, the waste is deemed qualified; when the secondary dimensions are greater than the size threshold, the waste is deemed unqualified, and an alarm signal is issued.

[0044] Compared with existing technologies, the advantages of this invention are as follows: In terms of processing effect, the grinding module is equipped with multiple feed inlets, each specifically for adding the same type of kitchen waste, allowing for more precise grinding based on the characteristics of different types of waste. The data acquisition unit obtains data such as the hardness, mass, and size of the kitchen waste, and determines the grinding speed and duration accordingly. This changes the traditional single grinding mode of the processor, effectively handling kitchen waste with different hardness and moisture content, avoiding jamming and insufficient grinding, and improving the processing effect.

[0045] In terms of intelligent control, the judgment unit determines whether the processing is qualified after the grinding time reaches the target, based on the output size and motor load data. If it fails to meet the requirements, it can also determine whether the grinding module is functioning properly. If it is functioning properly, a second grinding is performed, realizing real-time monitoring and intelligent adjustment of the processing process. The processing unit determines the rotation speed and duration of the second grinding based on various factors and can automatically adjust the grinding intensity and time according to the actual situation of the waste, overcoming the problem of traditional equipment lacking intelligent control, effectively improving processing efficiency and reducing energy waste.

[0046] In terms of odor control, the filter module includes a first filter and a second filter, which are connected sequentially after the grinding module to filter the liquid and gas generated during grinding, achieving primary and secondary odor removal. This solves the odor problem in the process of kitchen waste disposal and keeps the kitchen environment fresh and hygienic. Attached Figure Description

[0047] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0048] Figure 1 This is a functional framework diagram of a solid waste treatment system for a kitchen waste processor, provided as an embodiment of the present invention. Detailed Implementation

[0049] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0050] See Figure 1As shown, an embodiment of the present invention provides a solid waste treatment system for a food waste processor, comprising:

[0051] The grinding module is used to perform primary and secondary grinding of kitchen waste; the grinding module is equipped with several feed inlets, each for adding the same type of kitchen waste;

[0052] The filter module includes a first filter element and a second filter element. The filter module is used to filter the solid waste in the grinding module to remove odors. The grinding module, the first filter element and the second filter element are connected in sequence. The first filter element is used to adsorb liquid and remove odors initially, and the second filter element is used to remove odors a second time.

[0053] The control module includes a data acquisition unit, a judgment unit, and a processing unit. The data acquisition unit is configured to acquire food waste data and determine the grinding speed and grinding time based on the food waste data. The food waste data includes the type of waste and its corresponding hardness, mass, and size.

[0054] The judgment unit is configured to, after the grinding time is met, acquire the output size of the kitchen waste and the motor load data of the grinding module, and make a qualification judgment based on the output size and motor load data; when the kitchen waste is judged to be qualified, the kitchen waste in the grinding module is exported; when the kitchen waste is judged to be unqualified, the grinding module is judged to be normal based on the motor load data; when the grinding module is normal, it is judged that a second grinding is required.

[0055] The processing unit is configured to determine the secondary grinding speed and the secondary grinding duration when performing secondary grinding.

[0056] The alarm module is configured to determine the suitability of kitchen waste after secondary grinding, and to issue an alarm signal when the waste fails to meet the requirements.

[0057] When the judgment unit issues an alarm command, an alarm signal is issued.

[0058] It's important to note that the grinding module has multiple feed inlets, each corresponding to the same type of kitchen waste. This design allows the processor to perform targeted grinding based on the characteristics of different types of waste. In actual use, different types of kitchen waste, such as hard bones, soft fruit peels, and vegetable leaves with high water content, have significantly different physical properties. Traditional processors use a single grinding mode, which struggles to meet the processing needs of various types of waste, easily leading to over-grinding of some waste while under-grinding of others. This processor, however, uses categorized feeding to match the most suitable grinding parameters to different types of waste, ensuring that each type of waste is thoroughly and effectively ground. This greatly improves the processing efficiency, guarantees fine and uniform pulverized particles, and facilitates smooth flushing into the sewer system, reducing the risk of pipe blockage.

[0059] The various units of the control module work collaboratively to achieve intelligent regulation of the food waste treatment process. The data acquisition unit obtains data such as the hardness, mass, and size of the food waste, and determines the initial grinding speed and duration accordingly, providing precise initial parameters for the grinding process. After the grinding duration is met, the judgment unit performs a pass / fail assessment based on the output size and motor load data, enabling timely detection of problems during processing. If the processing is unsatisfactory, the judgment unit further assesses the grinding module's functionality based on motor load data; if normal, a second grinding cycle is initiated. The processing unit then determines the speed and duration of the second grinding cycle based on the actual situation, allowing the processor to dynamically adjust its grinding strategy according to the specific characteristics of the waste. This intelligent regulation mechanism avoids the simplistic and indiscriminate processing of traditional processors, not only improving processing efficiency but also effectively reducing energy waste and lowering operating costs.

[0060] The filter module is equipped with a first filter and a second filter, which sequentially filter the liquid and gas within the grinding module. The first filter adsorbs impurities in the liquid and performs initial deodorization, removing most odor-causing substances. The second filter performs secondary deodorization, further purifying the liquid and gas to ensure that the discharged substances are virtually odorless. This design effectively solves the problem of odor emission during food waste disposal, maintains a fresh and hygienic kitchen environment, provides users with a comfortable operating environment, and enhances the user experience.

[0061] Fault warning system ensures stable equipment operation: The alarm module assesses the quality of kitchen waste after secondary grinding. If the waste fails to meet the standards, an alarm signal is issued. Simultaneously, the judgment unit also issues an alarm command when it detects malfunction in the grinding module. These alarm mechanisms promptly alert users to equipment problems, facilitating timely inspection and maintenance, preventing the equipment from continuing to operate in a faulty state, thus ensuring stable operation and extending the equipment's lifespan.

[0062] In some embodiments of this application, when the data acquisition unit determines the grinding speed based on kitchen waste data, it includes:

[0063]

[0064] Where N is the grinding speed; k is the comprehensive correction coefficient, with a value range of [0.5, 2]; H is the hardness of the kitchen waste; M is the mass of the kitchen waste; S is the size of the kitchen waste; a, b, and c are the first, second, and third weighting coefficients, respectively, and a+b+c=1.

[0065] It should be noted that the first, second, and third weights are determined in the following way:

[0066] Establish a hierarchical model: Construct a hierarchical structure for the factors affecting the grinding speed of the food waste processor, such as waste type, hardness, quality, and size, into a target layer (determining the appropriate grinding speed), a criterion layer (each influencing factor), and a scheme layer (different grinding speed schemes).

[0067] Constructing a judgment matrix: By comparing the relative importance of each influencing factor pairwise using expert experience or statistical data, a judgment matrix is ​​constructed. For example, if the hardness of the waste is considered more important than its mass, a corresponding numerical value can be assigned to it in the judgment matrix. Assuming a 1-9 scale is used, if hardness is slightly more important than mass, it can be marked as 3 in the corresponding position; conversely, if mass is slightly less important than hardness, it can be marked as 1 / 3 in the corresponding position.

[0068] Calculating the weight vector: The judgment matrix is ​​calculated, for example using the eigenvalue method, by calculating its largest eigenvalue and corresponding eigenvector. After normalizing the eigenvectors, the weight vectors of each factor are obtained. Assuming the judgment matrix is ​​, by calculating , where is the largest eigenvalue and is the corresponding eigenvector, the weights of each factor are obtained after normalization.

[0069] Consistency check: To ensure the reasonableness of the weights, a consistency check is required. Calculate the consistency index, where is the order of the judgment matrix, then find the corresponding average random consistency index and calculate the consistency ratio. At this point, the judgment matrix is ​​considered to have satisfactory consistency, and the weight coefficients are considered reasonable.

[0070] In some embodiments of this application, when the data acquisition unit determines the grinding time based on kitchen waste data, it includes:

[0071]

[0072] Where T is the grinding time; T0 is the initial grinding time; k1 is the comprehensive grinding time coefficient, with a value range of [5,20]; k2 is the hardness influence coefficient; and k3 is the size influence coefficient, with a value range of [0.2,0.6].

[0073] It should be noted that the formula takes into account the impact of factors such as the hardness (represented by k2) and size (represented by k3) of kitchen waste on the grinding time. Higher hardness and larger size generally require a longer grinding time. This formula allows for precise determination of the grinding time based on the actual characteristics of the waste, avoiding insufficient or excessive grinding due to inappropriate time, thus achieving better processing results.

[0074] Determining the grinding time based on actual waste data allows the processor to complete the grinding work within a suitable time, avoiding unnecessary long operating times, reducing energy consumption, and preventing rework due to insufficient time, thus improving overall processing efficiency.

[0075] The comprehensive time coefficient has a range of values ​​and can be adjusted according to different equipment performance and operating conditions, making this method of determining grinding time applicable to a variety of food waste processors with different configurations and usage scenarios, thus enhancing the equipment's adaptability to different conditions.

[0076] In some embodiments of this application, when the judgment unit performs a qualification judgment based on the output size and motor load data, it includes:

[0077] Collect and recognize images after grinding, obtain the size of kitchen waste based on the images after grinding, collect motor load data, and extract the first load data for the preset time before the grinding ends;

[0078] Obtain the standard load data of the motor, and calculate the similarity between the standard load data and the first load data. Align the first load data and the standard load data with the time point at the end of grinding. The similarity is the sum of the differences between the first load data and the standard load data at each same time point.

[0079] If the similarity is less than or equal to the preset similarity threshold, the result is deemed unqualified.

[0080] When the similarity is greater than the preset similarity threshold, the relationship between the size and the size threshold is further judged. When the size is less than or equal to the preset size threshold, it is judged as unqualified. When the size is greater than the preset size threshold, it is judged as qualified.

[0081] It should be noted that by acquiring images of the ground food waste to obtain its size and comparing them with a preset size threshold, it is possible to directly determine whether the waste has been ground to the appropriate particle size, ensuring that the processed waste meets the requirements for subsequent treatment or discharge, avoiding problems such as pipe blockage caused by excessively large particles, and ensuring that the treatment effect meets the actual use needs.

[0082] Collecting motor load data and comparing it with standard load data, using similarity to measure differences, can effectively monitor the motor's operating status during the grinding process. A low similarity indicates that the motor's operating status is inconsistent with normal conditions, potentially indicating abnormal wear, jamming, or other problems. Timely detection and handling of these issues helps prevent equipment failure and extend equipment lifespan.

[0083] Combining motor load data and output size for judgment avoids the limitations of relying on a single factor. For example, judging solely based on output size may overlook motor malfunctions; judging solely based on motor load data may fail to determine the actual grinding effect of the waste. A comprehensive judgment can more fully and accurately assess whether the food waste treatment is up to standard, improving the reliability and accuracy of the assessment.

[0084] Accurate qualification assessment provides a basis for subsequent processing. If the assessment is unqualified, the reasons can be further analyzed, such as whether secondary grinding is required or whether equipment maintenance is needed, thereby optimizing the processing and improving the overall efficiency and quality of food waste treatment.

[0085] Determining the preset time: From the perspective of practical application scenarios, different types and performance levels of food waste processors vary in grinding speed, motor power, etc., and the preset time needs to be adjusted accordingly. For equipment with higher power and higher grinding efficiency, the time required to grind the same amount of waste is shorter, and the preset time can be appropriately shortened; while for equipment with lower power and lower grinding efficiency, the preset time needs to be appropriately extended to ensure that effective data can be collected.

[0086] The frequency of use and operating conditions of food waste disposers vary depending on the application scenario, such as in home kitchens and commercial catering establishments. In home kitchens, the disposer is used relatively infrequently, processing smaller amounts of waste each time; while in commercial catering establishments, it is used frequently and generates larger amounts of waste. The preset duration needs to be optimized based on these different usage frequencies and operating conditions to ensure accurate assessment of the appropriateness of food waste processing in various practical application scenarios.

[0087] In some embodiments of this application, when selecting standard load data, the standard load data that is the same as or closest to the current mass of kitchen waste is selected.

[0088] Understandably, selecting standard load data that is the same as or closest to the current quality of kitchen waste makes the comparison more targeted. By comparing the actual collected motor load data with precisely matched standard load data, it is possible to more accurately determine whether the motor is operating normally and whether the grinding process is meeting expectations.

[0089] Improving the accuracy of compliance assessment: When assessing the compliance of kitchen waste treatment based on motor load data and discharge dimensions, the accuracy of standard load data is crucial. Standard load data that matches the current waste quality provides a more reliable reference for assessment, making the compliance assessment results closer to reality and reducing misjudgments caused by mismatched standard data.

[0090] Effective anomaly identification: Precise comparison with standard load data can effectively identify abnormal conditions during motor operation. For example, when the actual load deviates significantly from the corresponding standard load, potential problems such as grinding module malfunctions or debris blockages can be detected in a timely manner, providing a clear direction for equipment maintenance and troubleshooting.

[0091] Improving processing quality: Reducing the error in judging conformity helps ensure that only kitchen waste that truly meets quality requirements enters the subsequent processing stage, preventing unqualified products from entering, improving the overall quality of kitchen waste processing, and ensuring the stable and efficient operation of the processing system.

[0092] In some embodiments of this application, when it is determined that the processing of kitchen waste is unqualified, determining whether the grinding module is functioning properly based on motor load data includes:

[0093] Obtain the first load data for the qualification assessment, and calculate the slopes of the standard load data and the first load data respectively;

[0094] The slope of the first load data is divided into several data groups of equal size, and these data groups are arranged as a based on the time series. 2 The data matrix; arbitrarily select a point in the data matrix as a feature point; form a circular area with a preset diameter centered on the feature point;

[0095] Calculate the average value of all data within the circular area, determine the relationship between the difference between the data value and the average value and the pre-set data threshold, and determine the feature point as an unqualified point when the difference is greater than the data threshold;

[0096] When there are unqualified points in the data matrix, the grinding module is determined to be abnormal. When the grinding module is determined to be abnormal, the judgment unit sends an alarm signal to the alarm module.

[0097] It should be noted that key load data of the motor during the grinding process is collected, which is the first load data for qualification judgment. The trend of load data change is quantified by calculating the slope, providing basic data for subsequent judgment of the grinding module status.

[0098] The slope reflects the rate of change of motor load over time, and different rates of change may correspond to different operating conditions. By acquiring and calculating the slope, the changes in motor load can be transformed into parameters with greater analytical value, facilitating further in-depth analysis of whether the grinding module is functioning properly.

[0099] The slope of the first load data is divided into several data groups of equal size, and these data groups are arranged into a data matrix a2 based on the time series. A point is arbitrarily selected as a feature point in the data matrix. A circular area is formed with the feature point as the center and a predetermined diameter.

[0100] The slopes of the first load data are grouped and matrixed to facilitate the orderly management and analysis of large amounts of data. Feature points are selected and circular ranges are delineated to focus on data in specific areas for detailed analysis.

[0101] Grouping data into a matrix allows for a clearer presentation of the time-series characteristics and distribution patterns. By selecting feature points and defining ranges, representative local data can be chosen from a large dataset for analysis, improving efficiency and focus, avoiding indiscriminate analysis of all data, and saving computational resources and time.

[0102] Calculate the average of all data within the circular area, and determine the relationship between the difference between the data value and the average and a pre-set data threshold. If the difference is greater than the data threshold, the feature point is determined to be an unqualified point.

[0103] By calculating the average value of the data within a circular area, a benchmark value is set for the data in that area. Then, by comparing the difference between the data value and the average value and a threshold, it is determined whether the feature point conforms to the data characteristics under normal operating conditions.

[0104] This judgment method can effectively identify outliers in the data. If the difference between the data value of a certain feature point and the average value is too large and exceeds the preset threshold, it indicates that the motor operating status corresponding to that point is significantly different from the normal state reflected by the surrounding data, which is likely a problem with the grinding module. Through this quantitative judgment method, abnormal situations can be accurately screened out.

[0105] When a defective point is found in the data matrix, the grinding module is determined to be malfunctioning. When the grinding module is determined to be malfunctioning, the judgment unit sends an alarm signal to the alarm module.

[0106] Based on the previous analysis results, when a non-conforming point is found in the data matrix, it is directly determined that the grinding module is in an abnormal state and the alarm module is triggered to promptly notify relevant personnel that the equipment is malfunctioning.

[0107] It can quickly and accurately detect abnormalities in the grinding module and issue timely alarms, enabling maintenance personnel to inspect and repair the equipment as soon as possible. This prevents the equipment from continuing to operate in a faulty state, reduces the risk of equipment damage, ensures the normal operation and service life of the equipment, and also reduces problems such as interruption of food waste processing due to equipment failure.

[0108] In some embodiments of this application, when the processing unit determines the secondary grinding speed and the secondary grinding duration, it includes:

[0109] Historical data of secondary grinding that were deemed qualified after secondary grinding were selected, and the historical secondary grinding speed and duration were obtained. The grinding speed and duration when the current kitchen waste had the same mass and size were selected as the secondary grinding speed and duration, respectively.

[0110] It should be noted that by screening historical data on successful secondary grinding, and selecting historical grinding speeds and durations that are identical to the current quality and size of kitchen waste as parameters for this secondary grinding, we can draw upon past successful grinding experiences. Because successful grinding results were achieved under the same quality and size conditions in the past, using these parameters can greatly increase the probability of the current secondary grinding process efficiently meeting the standards, reducing the time cost of blindly trying different parameters and improving overall grinding efficiency.

[0111] Using historical parameters that match the current waste characteristics ensures the stability of the secondary grinding effect. This avoids problems such as insufficient or excessive grinding caused by improper parameter settings, ensuring a consistent and satisfactory grinding effect each time similar quality and size of kitchen waste is processed, thereby improving the reliability of the kitchen waste processor's processing results.

[0112] There's no need to recalculate and adjust the rotation speed and duration for secondary grinding each time; historical data is directly utilized, reducing complex calculation processes and the workload of parameter adjustments. This not only reduces the demand for processing unit computing resources but also lightens the workload of operators, thereby lowering equipment operation and maintenance costs to some extent.

[0113] In some embodiments of this application, when there is no grinding speed and grinding time with the same mass and size as the current kitchen waste, the secondary grinding speed is determined by the following relationship:

[0114]

[0115] N2=N max ×(1-r)×(1-α);

[0116] Among them, H max M max Smax These represent the maximum permissible hardness, maximum permissible mass, and maximum permissible size, respectively; r is the basic rotation speed adjustment factor, N2 is the secondary grinding speed, and α is the overload adjustment coefficient, with the value of α ranging from [0.1, 0.3].

[0117] It should be noted that the formula takes into account factors such as the hardness, mass, and size of the food waste, as well as the maximum permissible hardness, maximum permissible mass, and maximum permissible size. This allows the secondary grinding speed to be adjusted according to the actual characteristics of the food waste. When the waste is hard, heavy, or large, the appropriate speed can be calculated using the formula to ensure the grinding effect and enhance the processor's adaptability to different types and states of food waste.

[0118] Setting the overload adjustment coefficient can, to some extent, avoid problems such as motor overload caused by improper speed setting. The value range [0.1, 0.3] can be adjusted according to the equipment performance and actual working conditions, so that the speed setting can meet the grinding requirements, ensure stable operation of the equipment, and extend the service life of the equipment.

[0119] When there is no historical data available for direct reference, this formula provides a clear and scientific calculation method for determining the secondary grinding speed, avoiding the blind setting of speed due to lack of data, providing reliable parameter basis for the secondary grinding process of kitchen waste, and ensuring the smooth progress of the processing.

[0120] In some embodiments of this application, when there is no grinding speed and grinding time with the same mass and size as the current kitchen waste, the secondary grinding time is determined by the following relationship:

[0121]

[0122] Apply boundary constraints to T2:

[0123] T2 = max(T) min ,min(T max ,T2));

[0124] Where T2 is the secondary grinding time, T is the grinding time, S1 is the size of the output material after the primary grinding, and S... threshold The pre-set acceptable output size.

[0125] It should be noted that factors such as the hardness, quality, and size of the kitchen waste, as well as the output size after the first grinding and the pre-set qualified output size, can accurately calculate the appropriate second grinding time, providing a reliable time parameter basis for the second grinding operation.

[0126] Combining the characteristics of waste with the grinding effect: The formula takes into account the characteristics of the waste itself and the actual effect (output size) after the first grinding. Based on these factors, the second grinding time is dynamically adjusted so that the second grinding process can better adapt to different types and states of kitchen waste, ensuring that the final grinding effect meets the qualified standard.

[0127] Boundary constraints ensure rationality: Boundary constraints are applied to the secondary grinding time, limiting the range of values ​​for the secondary grinding time and avoiding unreasonable time settings that are too long or too short, thus ensuring the stability of equipment operation and the effectiveness of grinding operations.

[0128] Determining the secondary grinding time based on the characteristics of the waste and the results of the primary grinding can make the secondary grinding more targeted, avoiding problems such as insufficient or excessive grinding caused by improper grinding time, thereby effectively improving the final grinding effect of kitchen waste and making it meet the requirements for subsequent treatment or discharge.

[0129] This method of determining the secondary grinding time can handle kitchen waste of different qualities, sizes, and hardness. Even without historical matching data, it can still provide reasonable operating parameters for the equipment, enhancing the adaptability of the kitchen waste processor to various complex waste conditions and expanding the application range of the equipment.

[0130] The boundary constraint mechanism prevents extreme values ​​in the secondary grinding time, avoids excessive or insufficient operation of the equipment, reduces wear and tear and the risk of failure, ensures stable operation of the equipment, extends the service life of the equipment, and also helps to improve the stability and reliability of the entire food waste treatment process.

[0131] In some embodiments of this application, the kitchen waste after secondary grinding is assessed for compliance. When the assessment fails, an alarm signal is issued, including:

[0132] Images of the food waste after secondary grinding are collected, and the secondary dimensions of the food waste are obtained. If the secondary dimensions are less than or equal to the size threshold, the waste is deemed qualified; if the secondary dimensions are greater than the size threshold, the waste is deemed unqualified, and an alarm signal is issued.

[0133] By acquiring images of the waste after secondary grinding and comparing them with size thresholds, the grinding effect can be directly and accurately measured to ensure that the processed kitchen waste meets the particle size requirements and meets the standards for subsequent treatment or discharge. This avoids problems such as pipe blockage caused by unqualified particle size and ensures the overall treatment quality.

[0134] When the waste after secondary grinding is deemed unqualified, an alarm signal is issued, which can promptly remind the operator that the equipment processing effect has not met expectations, and there may be problems such as grinding module failure or improper parameter settings. This allows the operator to respond quickly, troubleshoot and resolve the problem in a timely manner, avoid the continuous production of unqualified products, and reduce the impact on subsequent processing stages.

[0135] This judgment and alarm mechanism provides feedback for optimizing the processing flow. Based on the judgment results, grinding parameters and equipment operating status can be adjusted and optimized, such as reassessing whether the settings of parameters such as grinding speed and duration are reasonable, further improving the efficiency and quality of food waste treatment, and making the entire processing flow more scientific and efficient.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A solid waste treatment system for a kitchen waste processor, characterized in that, include: The grinding module is used for primary and secondary grinding of kitchen waste; The grinding module is provided with several feed inlets, each of which is used to add the same type of kitchen waste; A filter module includes a first filter element and a second filter element. The filter module is used to filter liquids and gases in the grinding module to remove odors. The grinding module, the first filter element, and the second filter element are connected in sequence. The first filter element is used to adsorb liquids and remove odors initially, and the second filter element is used to remove odors a second time. The control module includes a data acquisition unit, a judgment unit, and a processing unit; the data acquisition unit is configured to acquire kitchen waste data and determine the grinding speed and grinding time based on the kitchen waste data; the kitchen waste data includes the type of waste and its corresponding hardness, mass, and size. The judgment unit is configured to, after the grinding time is met, acquire the output size of the kitchen waste and the motor load data of the grinding module, and make a qualification judgment based on the output size and motor load data; when the kitchen waste is judged to be qualified, the kitchen waste in the grinding module is exported; when the kitchen waste is judged to be unqualified, the grinding module is judged to be normal based on the motor load data; when the grinding module is normal, it is judged that a second grinding is required. The processing unit is configured to determine the secondary grinding speed and the secondary grinding duration when performing secondary grinding. The alarm module is configured to determine the suitability of kitchen waste after secondary grinding, and to issue an alarm signal when the waste fails to meet the requirements. When the data acquisition unit determines the grinding speed based on the kitchen waste data, it includes: ； in, This refers to the grinding speed; The comprehensive correction factor has a value range of [0.5, 2]. The hardness of kitchen waste; For the quality of kitchen waste; The dimensions of kitchen waste; , , These are the first, second, and third weighting coefficients, respectively, and a+b+c=1; When the data acquisition unit determines the grinding time based on the kitchen waste data, it includes: ； in, This refers to the grinding time; This refers to the initial grinding time; The overall duration coefficient has a value range of [5, 20]. This is the coefficient affecting hardness; This is the size influence coefficient, with a value range of [0.2, 0.6]. When the processing unit determines the secondary grinding speed and the secondary grinding duration, it includes: After screening the secondary grinding historical data that are qualified according to the qualification judgment, the historical secondary grinding speed and historical secondary grinding time are obtained. The grinding speed and grinding time when the current kitchen waste has the same mass and size are selected as the secondary grinding speed and secondary grinding time, respectively. When there is no grinding speed and grinding time that are identical to the current kitchen waste in terms of mass and size, the secondary grinding speed is determined by the following relationship: ； ； in, , , These are the maximum permissible hardness, maximum permissible mass, and maximum permissible size, respectively. Base speed adjustment factor The grinding speed is for the second grinding. This is the overload adjustment factor. The value range is [0.1, 0.3]; When there is no grinding speed and grinding time that are identical to the current kitchen waste in terms of mass and size, the secondary grinding time is determined by the following relationship: ； right Apply boundary constraints: ； in, This refers to the duration of the second grinding. This refers to the grinding time. This refers to the size of the output material after one grinding cycle. The pre-set acceptable output size.

2. A solid waste treatment system for a kitchen waste processor according to claim 1, characterized in that, When the judgment unit performs a qualification judgment based on the output size and motor load data, it includes: The image after grinding is acquired and identified. The size of the kitchen waste is obtained based on the image after grinding. The load data of the motor is acquired and the first load data of the preset time before the end of grinding is captured. Obtain standard load data of the motor, and calculate the similarity between the standard load data and the first load data. Align the first load data and the standard load data at the time point when the grinding ends. The similarity is the sum of the differences between the first load data and the standard load data at each same time point. If the similarity is less than or equal to a preset similarity threshold, the result is deemed unqualified. When the similarity is greater than a preset similarity threshold, the relationship between the size and the size threshold is further determined. When the size is less than or equal to the preset size threshold, it is determined to be unqualified. When the size is greater than the preset size threshold, it is determined to be qualified.

3. A solid waste treatment system for a kitchen waste processor according to claim 2, characterized in that, When selecting the standard load data, choose the standard load data that is the same as or closest to the current mass of kitchen waste.

4. A solid waste treatment system for a kitchen waste processor according to claim 3, characterized in that, The kitchen waste that has undergone secondary grinding is assessed for compliance. If it fails the assessment, an alarm signal is issued, including: Images of the food waste after secondary grinding are collected, and the secondary dimensions of the food waste are obtained. When the secondary dimensions are less than or equal to the size threshold, the waste is deemed qualified; when the secondary dimensions are greater than the size threshold, the waste is deemed unqualified, and an alarm signal is issued.

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