Rice milling equipment, method and device for detecting overflow of collecting box of rice milling equipment, medium and product

Abstract

The invention relates to rice milling equipment, a method and device for detecting overflow of a collecting box of the rice milling equipment, a medium and a computer program product. The method comprises the steps that in the running process of a rice milling assembly of the rice milling equipment, state data of materials in a collection box are obtained; the collecting box is used for storing materials obtained through rice milling operation of the rice milling assembly. And controlling a rice milling assembly of the rice milling equipment to stop running under the condition that it is determined that the materials in the collection box have the overflow risk according to the state data. By the adoption of the method, the accuracy of overflow detection of the collecting box is improved, the rice milling equipment is automatically controlled to stop rice milling under the condition that the overflow risk exists, and the overflow risk of the rice milling equipment is reduced.

Description

Technical Field

[0001] This application relates to the field of grain processing technology, and in particular to a rice milling device and a method, apparatus, computer-readable storage medium, and computer program product for detecting overflow of the collection box of the same. Background Technology

[0002] Existing rice milling equipment includes collection boxes such as rice boxes and bran boxes, which are used to collect rice grains and bran powder generated during the rice milling process, respectively.

[0003] In actual production, the collection box of the rice milling equipment is subject to manual observation to check for the risk of overflow. If the collection box is not cleaned by the user in time, material overflow is likely to occur, affecting the normal operation of the equipment, or even causing equipment failure or contamination of the processed rice grains. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, rice milling equipment, computer-readable storage medium, and computer program product for detecting overflow of the rice milling equipment collection box, which can reduce the risk of overflow of the collection box of rice milling equipment.

[0005] In a first aspect, this application provides a method for detecting overflow from the collection box of a rice milling device, used in a rice milling device, the method comprising:

[0006] During the operation of the rice milling component of the rice milling equipment, the status data of the material in the collection box is acquired; the collection box is used to store the material obtained from the rice milling operation of the rice milling component.

[0007] If, based on the status data, it is determined that there is a risk of material overflow from the collection box, the rice milling component of the rice milling equipment is controlled to stop operating.

[0008] In one embodiment, the status data includes height data and weight data, and the method further includes:

[0009] The overflow risk index of the collection box is determined based on the height data and the weight data;

[0010] If the spillover risk index is greater than a preset risk threshold, it is determined that there is a risk of spillage of the material in the collection box.

[0011] In one embodiment, determining the overflow risk index of the collection box based on the height data and the weight data includes:

[0012] The real-time weight change rate of the collection box is determined based on the weight data;

[0013] The height data and the real-time weight change rate are normalized respectively.

[0014] The normalized height data and the real-time weight change rate are weighted according to preset weights to obtain the overflow risk index of the collection box.

[0015] In one embodiment, the status data includes height data and weight data, wherein the height data includes infrared data and ultrasonic data; the infrared data is collected by an infrared sensor located at a preset height on the side wall inside the collection box, and the ultrasonic data is collected by an ultrasonic sensor located at the top inside the collection box; the method further includes:

[0016] The real-time weight change rate of the collection box is determined based on the weight data;

[0017] If any one of the following three conditions is met, it is determined that there is a risk of spillage of the material in the collection box;

[0018] First: The infrared data meets the preset overflow condition;

[0019] Second: The ultrasonic data is greater than a preset first height threshold;

[0020] The third item: The real-time weight change rate is greater than the preset change rate threshold.

[0021] In one embodiment, after the rice milling component of the rice milling equipment stops operating, the method further includes:

[0022] Based on the number of times the conditions are met, the alarm component of the rice milling equipment is controlled to execute the preset alarm strategy corresponding to the number of times the conditions are met.

[0023] In one embodiment, after the rice milling component of the rice milling equipment stops operating, the method further includes:

[0024] If the collection box is determined to be in a safe state based on the status data, the rice milling component of the rice milling equipment is controlled to start operating.

[0025] Secondly, this application also provides a detection device for overflow of the rice milling equipment collection box, comprising:

[0026] The data acquisition module is used to acquire the height and weight data of the collection box;

[0027] The control module is used to control the rice milling component of the rice milling equipment to stop operating when it is determined that the collection box is in an overflow state based on the height data and the weight data.

[0028] Thirdly, this application also provides a rice milling device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0029] During the operation of the rice milling component of the rice milling equipment, the status data of the material in the collection box is acquired; the collection box is used to store the material obtained from the rice milling operation of the rice milling component.

[0030] If, based on the status data, it is determined that there is a risk of material overflow from the collection box, the rice milling component of the rice milling equipment is controlled to stop operating.

[0031] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0032] During the operation of the rice milling component of the rice milling equipment, the status data of the material in the collection box is acquired; the collection box is used to store the material obtained from the rice milling operation of the rice milling component.

[0033] If, based on the status data, it is determined that there is a risk of material overflow from the collection box, the rice milling component of the rice milling equipment is controlled to stop operating.

[0034] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0035] During the operation of the rice milling component of the rice milling equipment, the status data of the material in the collection box is acquired; the collection box is used to store the material obtained from the rice milling operation of the rice milling component.

[0036] If, based on the status data, it is determined that there is a risk of material overflow from the collection box, the rice milling component of the rice milling equipment is controlled to stop operating.

[0037] The aforementioned method, apparatus, rice milling equipment, computer-readable storage medium, and computer program product for detecting overflow from the rice milling equipment's collection box acquire state data of the material in the collection box during the operation of the rice milling component of the rice milling equipment. The collection box is used to store the material obtained from the rice milling operation of the rice milling component. If, based on the state data, it is determined that there is a risk of overflow from the material in the collection box, the rice milling component of the rice milling equipment is controlled to stop operating. This application detects whether there is an overflow in the collection box by checking the state data of the material in the collection box of the rice milling equipment, which helps to improve the accuracy of collection box overflow detection. Furthermore, by automatically controlling the rice milling equipment to stop milling rice when there is a risk of overflow, it helps to reduce the overflow risk of the rice milling equipment. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is an application environment diagram of a method for detecting overflow from the rice milling equipment's collection box in one embodiment;

[0040] Figure 2 This is a schematic diagram of the structure of a rice milling device in one embodiment;

[0041] Figure 3 This is a flowchart illustrating a method for detecting overflow from the collection box of a rice milling device in one embodiment.

[0042] Figure 4 This is a flowchart illustrating a method for detecting overflow from the rice milling equipment's collection box in another embodiment.

[0043] Figure 5 This is a detailed flowchart illustrating the steps for determining the overflow risk index of the collection box based on height and weight data in one embodiment.

[0044] Figure 6 This is a flowchart illustrating a method for detecting overflow from the rice milling equipment's collection box in yet another embodiment.

[0045] Figure 7 This is a schematic diagram illustrating the implementation process of a method for detecting overflow from the collection box of a rice milling device in one embodiment;

[0046] Figure 8 This is a structural block diagram of a detection device for overflow from the rice milling equipment's collection box in one embodiment.

[0047] Figure 9 This is an internal structural diagram of a rice milling device in one embodiment. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0050] The method for detecting overflow in the rice milling equipment collection box provided in this application embodiment can be applied to, for example... Figure 1 The rice milling equipment shown includes a collection box 101, a rice milling assembly 102, a status detection assembly 103, a memory, and a processor 104. Both the status detection assembly 103 and the rice milling assembly 102 are connected to the processor 104. The status detection assembly 103 acquires the status data of the material in the collection box 101 and transmits it to the processor 104. The processor 104 controls the operation of the rice milling assembly 102. During the operation of the rice milling assembly 102, the processor 104 receives the status data of the material in the collection box 101 detected by the status detection assembly 103 and stores the status data in the memory. The processor 104 reads the status data from the memory in real time, and if it determines that there is a risk of material overflow in the collection box 101 based on the status data, it controls the rice milling process to gradually stop.

[0051] In some feasible implementations, such as Figure 2 As shown, the status detection component 103 includes a height detection component and a weight detection component 201. Both the height detection component and the weight detection component 201 are connected to the processor 104. The height detection component is used to acquire the height data of the collection box 101 and transmit it to the processor 104, and the weight detection component 201 is used to acquire the weight data of the collection box 101 and transmit it to the processor 104. The status detection component 103 includes both the height detection component and the weight detection component 201, monitoring from two independent physical dimensions: space occupancy and mass change. In the event of a failure in either component, verification can be performed through the other dimension, thus achieving double protection.

[0052] In some feasible implementations, the height detection component includes an infrared sensor 202 and an ultrasonic sensor 203. The infrared sensor 202 is positioned at a preset height on the side wall inside the collection box 101, and the ultrasonic sensor 203 is positioned at the top inside the collection box 101. The processor 104 can determine whether the height of the material in the collection box 101 has reached the preset height using the infrared data collected by the infrared sensor 202, and can obtain the specific height data of the material in the collection box 101 in real time using the ultrasonic sensor 203. The collaborative operation of the infrared sensor 202 and the ultrasonic sensor 203 helps to improve the overall robustness, accuracy, and reliability of the height detection component under complex working conditions. Furthermore, in complex industrial environments (such as long-term operation and dusty rice milling workshops), sensor failure is possible. The collaboration between the infrared sensor 202 and the ultrasonic sensor 203 can provide a redundancy backup mechanism, so that even if one sensor fails, overflow detection can still be performed using the other sensor.

[0053] In some feasible implementations, the rice milling equipment also includes an alarm component 204, which is connected to a processor 104. The processor 104 controls the operation of the alarm component 204. If the processor 104 detects a risk of overflow in the collection box 101 through the height detection component and / or weight detection component 201, it controls the alarm component 204 to sound an alarm, alerting the user to the risk of overflow from the rice milling equipment.

[0054] In some feasible implementations, the alarm component 204 includes a voice prompt unit, an LED (light-emitting diode) unit, and a mechanical warning sign 205. The processor 104 can control the voice prompt unit to output a preset voice message to alert the user of a potential overflow risk in the rice milling equipment; it can control the LED unit to flash to visually alert the user of a potential overflow risk; and it can control the mechanical warning sign to unfold to physically alert the user of a potential overflow risk. The processor 104 can also wirelessly connect to an external device to output preset alert information. Using different types of alarm components 204 to alert the user of a potential overflow risk in the rice milling equipment can improve the recognizability of alarm information in complex situations.

[0055] In one exemplary embodiment, such as Figure 3 As shown, a method for detecting overflow in the collection box of a rice milling device is provided, which can be applied to... Figure 1 Taking processor 104 as an example, the explanation includes steps 302 and 304. Wherein:

[0056] Step 302: During the operation of the rice milling component of the rice milling equipment, acquire the status data of the material in the collection box.

[0057] The collection box is used to store the material obtained from the rice milling process by the rice milling assembly. Status data refers to various information reflecting the current state of the material in the collection box, including but not limited to parameters such as weight and height. These parameters visually indicate the accumulation of material within the collection box. The collection box is a container used to temporarily store the material generated by the rice milling assembly during the rice milling process. The rice milling assembly is the core component of the rice milling equipment that performs the core rice milling function. It processes grains such as paddy rice to remove the husk and obtain edible rice and other materials.

[0058] In this embodiment, during the rice milling process when the rice milling component in the rice milling equipment is operating normally, the processor collects relevant status data of the material in the collection box used to store the material obtained after the rice milling component's operation. This data covers multiple aspects of information that can reflect the status of the material in the collection box, such as weight data reflecting the amount of material accumulated in the collection box, and height data showing the height of the material's accumulation in the collection box.

[0059] Step 304: If it is determined from the status data that there is a risk of material overflow in the collection box, control the rice milling component of the rice milling equipment to stop operating.

[0060] Among them, overflow risk refers to the potential dangerous situation where the material in the collection box accumulates continuously, and the state data reflects that the situation has reached or is close to the capacity limit of the collection box. If it continues to increase, it may cause the material to overflow from the collection box.

[0061] In this embodiment, the processor analyzes and processes the acquired state data of the material in the collection box. Based on pre-set judgment criteria or rules, it determines whether the material condition corresponding to this state data indicates a risk of overflow in the collection box. For example, when the height reaches a certain level or the weight exceeds a certain level, it is determined that the corresponding material condition poses an overflow risk. When the analysis confirms that there is indeed a risk of overflow, the processor immediately controls the rice milling component of the rice milling equipment to stop its current operation and cease producing material.

[0062] This application detects whether there is an overflow in the collection box of the rice milling equipment by checking the state data of the material in the collection box. This helps to improve the accuracy of overflow detection in the collection box and automatically controls the rice milling equipment to stop milling rice when there is a risk of overflow, which helps to reduce the risk of overflow in the rice milling equipment.

[0063] In some embodiments, the status data includes height data, weight data, such as... Figure 4 As shown, the method for detecting overflow from the rice milling equipment's collection box further includes steps 402 and 404. Wherein:

[0064] Step 402: Determine the overflow risk index of the collection box based on the height and weight data.

[0065] The height data refers to the vertical height of the material inside the collection box, which directly reflects the accumulation height of the material within the box. The weight data refers to the mass of the material inside the collection box, indicating the amount of material accumulated. The overflow risk index is a quantitative indicator that comprehensively considers factors such as the height and weight of the material inside the collection box, used to measure the likelihood of material overflowing from the box.

[0066] In this embodiment, after the processor obtains the height and weight data of the material in the collection box, it performs calculations on the height and weight data. During the calculation process, it comprehensively considers factors such as the influence weight of height and weight on the risk of material overflow, and finally obtains an overflow risk index that can reflect the degree of overflow risk of the collection box.

[0067] Step 404: If the spillover risk index is greater than the preset risk threshold, it is determined that there is a risk of spillage of the material in the collection box.

[0068] The preset risk threshold is a numerical limit set in advance based on the actual situation and needs. It is used as a criterion for judging whether there is a risk of spillage of the material in the collection box. When the spillage risk index exceeds this limit, the material is considered to have a risk of spillage.

[0069] In this embodiment, the processor compares the calculated spill risk index with a preset risk threshold and compares the magnitude of the two. When the value of the spill risk index is found to be greater than the preset risk threshold, the processor determines that there is a risk of spillage of the material in the collection box based on this comparison result.

[0070] First, the overflow risk index is calculated based on the height and weight data of the material in the collection box, quantifying the material accumulation situation. Then, by comparing it with the preset risk threshold, it can accurately determine whether there is a risk of material overflow, which can improve the ability to monitor and judge the overflow situation of material in the collection box, and improve the safety and stability of rice milling operations.

[0071] In some embodiments, such as Figure 5 As shown, step 402 above includes steps 502 to 506. Wherein:

[0072] Step 502: Determine the real-time weight change rate of the collection box based on the weight data.

[0073] Among them, the real-time weight change rate represents the change in the weight of the material in the collection box per unit time. It is a dynamic indicator used to measure the rate at which the weight of the material increases or decreases.

[0074] In this embodiment, after the processor obtains the weight data of the material in the collection box, it records the weight values ​​at different times. By calculating the ratio of the difference between the weight values ​​at adjacent times to the time interval, the weight change of the material per unit time is obtained, and thus the real-time weight change rate of the collection box is determined. For example, if the weight at time t1 is recorded as W1, the weight at time t2 is recorded as W2, and the time interval is Δt = t2 - t1, then the real-time weight change rate = (W2 - W1) / Δt.

[0075] Step 504: Normalize the height data and weight data respectively.

[0076] Normalization is a data preprocessing method that maps data with different dimensions and value ranges to a specific interval (usually [0,1]) through specific mathematical transformations, making the data comparable and eliminating the impact of different data dimensions and value ranges on subsequent analysis and processing.

[0077] In this embodiment, after the processor obtains the height data and real-time weight change rate of the material in the collection box, it uses a normalization calculation formula to transform the original value of the height data according to certain rules so that its value range is within the [0,1] interval. For the real-time weight change rate, the corresponding normalization calculation method is also used to map the original value of the real-time weight change rate to the [0,1] interval. After such processing, both the height data and the real-time weight change rate are transformed into data forms with uniform dimensions and value ranges.

[0078] Step 506: The normalized height data and real-time weight change rate are weighted according to preset weights to obtain the overflow risk index of the collection box.

[0079] The preset weights are pre-set based on actual conditions and experience, and are used to reflect the importance of altitude data and real-time weight change rate in calculating the spillover risk index. Different weights indicate that different data have different degrees of influence on the spillover risk index.

[0080] In this embodiment, after the processor obtains the normalized height data and the real-time weight change rate, it multiplies the height data and the real-time weight change rate by the corresponding weight value according to the preset weight. Then, the weighted height data and the real-time weight change rate are added together. Through this series of weighted processing and addition operations, an overflow risk index that can comprehensively reflect the overflow risk level of the collection box is finally obtained.

[0081] Specifically, the height data includes infrared and ultrasonic data. Infrared data serves as a signal for determining the type (output value is 0 or 1), directly used to determine the existence of overflow risk, and does not require normalization. Ultrasonic data represents the height value, which, like the real-time weight change rate, requires normalization. After processing the ultrasonic data and the real-time weight change rate, a weighted average is calculated based on pre-set weights, and the resulting value serves as the overflow risk index. Preferably, the priority weights can be set as follows: infrared data: 0.4, ultrasonic data: 0.3, real-time weight change rate: 0.3. The overflow risk index is calculated by averaging these three factors. When the overflow risk index is greater than or equal to a threshold (e.g., 0.7), the rice milling equipment is deemed to have an overflow risk.

[0082] The above steps help improve the accuracy and availability of data, enabling the spill risk index to more accurately measure the spill risk of materials in the collection box, providing support for subsequent assessment of material spill risk, and thus improving the safety and stability of rice milling operations.

[0083] In some embodiments, the status data includes height data and weight data. The height data includes infrared data and ultrasonic data. The infrared data is collected by an infrared sensor located at a predetermined height on the side wall inside the collection box, and the ultrasonic data is collected by an ultrasonic sensor located at the top inside the collection box. Figure 6 As shown, the method for detecting overflow from the rice milling equipment's collection box further includes steps 602 and 604. Wherein:

[0084] Step 602: Determine the real-time weight change rate of the collection box based on the weight data.

[0085] In this embodiment, similarly, after the processor obtains the weight data of the material in the collection box, it records the weight values ​​at different times. By calculating the ratio of the difference between the weight values ​​at adjacent times to the time interval, the weight change of the material per unit time is obtained, and then the real-time weight change rate of the collection box is determined.

[0086] Step 604: If any one of the following three conditions is met, determine that there is a risk of spillage of the material in the collection box;

[0087] First condition: Infrared data meets preset overflow conditions;

[0088] Second: Ultrasonic data is greater than the preset first height threshold;

[0089] The third item: The real-time weight change rate is greater than the preset change rate threshold.

[0090] The preset overflow condition is a pre-defined criterion based on infrared data. When the infrared data meets this condition, it indicates that the material may have accumulated to a dangerous height in the collection box, posing a risk of overflow. The preset first height threshold is a height limit value pre-set based on the capacity of the collection box and safety requirements. When the ultrasonic data exceeds this threshold, it indicates that the material accumulation height exceeds the safe range, posing a risk of overflow. The preset rate of change threshold is a numerical limit pre-set based on actual conditions and experience. When the real-time weight change rate exceeds this threshold, it indicates that the material enters the collection box too quickly, which may cause the material to overflow in a short period of time.

[0091] In this embodiment, the processor assesses infrared data, ultrasonic data, and real-time weight change rate. For infrared data, it checks whether a preset overflow condition is met. Since the infrared data is collected by an infrared sensor located at a preset height on the side wall inside the collection box, when the material reaches the preset height, it blocks the infrared light emitted by the sensor, resulting in an infrared data value of 1, thus satisfying the preset overflow condition. For ultrasonic data, it compares it with a preset first height threshold to determine if it exceeds this threshold. For the real-time weight change rate, it compares it with a preset change rate threshold to determine if it exceeds this threshold. If any one of these three conditions is met, the processor determines that there is a risk of material overflow in the collection box.

[0092] Furthermore, in the event of an infrared sensor failure, ultrasonic and weight data can be used for detection. If the weight detection component fails, ultrasonic data is primarily used to determine the risk of spillage. This redundancy design ensures that when an infrared sensor fails, the processor will not be rendered inoperable due to a single sensor malfunction, but can quickly switch to ultrasonic and weight data for continued detection. Similarly, when the weight detection component fails, the processor can still rely on ultrasonic data for judgment. This multi-sensor redundancy design significantly improves the processor's tolerance to sensor failures, ensuring that the rice milling equipment can continue to operate stably and effectively monitor for material spillage risks in the collection box even when some sensors malfunction.

[0093] Using a multi-dimensional and comprehensive approach to assess risk can improve the accuracy and timeliness of material spillage risk assessment, thus more effectively preventing spillage and ensuring the normal operation of rice milling.

[0094] In some embodiments, after step 304 described above, the method for detecting overflow in the rice milling equipment collection box further includes:

[0095] Based on the number of conditions that are met, the alarm components of the rice milling equipment are controlled to execute a preset alarm strategy corresponding to the number of conditions that are met.

[0096] The "number of conditions met" refers to the actual number of three conditions that must be met when determining that there is a risk of material overflow from the collection box: infrared data meeting a preset overflow condition, ultrasonic data exceeding a preset first height threshold, and real-time weight change rate exceeding a preset change rate threshold. The preset alarm strategy is an alarm method pre-set for different numbers of conditions met; different numbers correspond to different alarm intensities or forms to accurately reflect the severity of the material overflow risk.

[0097] In this embodiment, after determining that there is a risk of material overflow in the collection box, the processor counts the number of times any of the three conditions are actually met. Then, based on this count, it looks up a pre-set alarm strategy mapping table, determines the corresponding preset alarm strategy, and sends a control command to the alarm component, causing the alarm component to execute the alarm operation according to the strategy. For example, if only one condition is met, the processor controls the alarm component to output a voice prompt message through the voice prompt unit; if two conditions are met, the processor, in addition to the previous steps, controls the alarm component to flash an LED light and output a preset prompt message to an external device via wireless connection; if all three conditions are met, the processor, in addition to the previous steps, controls the alarm component to deploy a mechanical warning sign to physically alert the user that the rice milling equipment has an overflow risk.

[0098] In addition, if only one condition is met, but the user does not take any action for a long time, and the processor continuously detects that the condition is met within a certain period of time, the highest level of alarm strategy can be executed to alert the user through physical structure that there is an overflow risk in the rice milling equipment.

[0099] The tiered alarm system can more accurately convey risk information to operators, enabling them to quickly take appropriate countermeasures based on different alarm levels. This improves the efficiency of responding to material spill risks and further ensures the safe operation of rice milling equipment and the smooth progress of rice milling operations.

[0100] In some embodiments, after step 304 described above, the method for detecting overflow in the rice milling equipment collection box further includes:

[0101] Once the collection box is determined to be in a safe state based on the status data, the rice milling component of the rice milling equipment is controlled to start operating.

[0102] The safe status refers to the fact that there is no risk of material overflow in the collection box, and all indicators (such as height and weight changes) are within the safe range, meeting the conditions for the rice milling component to be restarted.

[0103] In this embodiment, the processor continuously acquires the status data of the collection box, including height data (infrared data collected by the infrared sensor and ultrasonic data collected by the ultrasonic sensor) and weight data. By analyzing and processing this status data, and according to pre-set safety judgment criteria (such as infrared data not meeting overflow conditions, ultrasonic data being less than a preset safe height threshold, real-time weight change rate being less than a preset safe change rate threshold, and weight data being less than the weight when the collection box is full), the processor determines whether the collection box is in a safe state. When the collection box is determined to be in a safe state, the processor sends a control command to the control module of the rice milling equipment, causing the rice milling component to start running and resuming the rice milling operation.

[0104] For example, such as Figure 7 As shown, after the processor detects that the rice milling equipment has started rice milling, it simultaneously acquires infrared data, ultrasonic data, and weight data. Then, it performs data fusion processing on the acquired infrared data, ultrasonic data, and weight data. Based on the overflow risk index obtained from the data fusion processing, it determines whether there is an overflow risk. If there is an overflow risk, it controls the rice milling component to stop running and controls the alarm component to sound an alarm. If there is no overflow risk, the rice milling component continues to work, and the processor continuously monitors the infrared data, ultrasonic data, and weight data.

[0105] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0106] Based on the same inventive concept, this application also provides a rice milling equipment collection box overflow detection device for implementing the above-described method for detecting overflow of the rice milling equipment collection box. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the rice milling equipment collection box overflow detection device provided below can be found in the limitations of the rice milling equipment collection box overflow detection method described above, and will not be repeated here.

[0107] In one exemplary embodiment, such as Figure 8 As shown, a detection device for overflow of the collection box of a rice milling equipment is provided, comprising:

[0108] Data acquisition module 801 is used to acquire the height and weight data of the collection box;

[0109] The control module 802 is used to control the rice milling component of the rice milling equipment to stop operating when the collection box is determined to be in an overflow state based on height data and weight data.

[0110] In one embodiment, the status data includes height data and weight data. The detection device for overflow of the rice milling equipment collection box also includes a risk detection module, which is used to determine the overflow risk index of the collection box based on the height data and weight data; if the overflow risk index is greater than a preset risk threshold, it is determined that there is a risk of overflow of the material in the collection box.

[0111] In one embodiment, the risk detection module is further configured to normalize the height data and weight data respectively; and to weight the normalized height data and weight data according to preset weights to obtain the overflow risk index of the collection box.

[0112] In one embodiment, the status data includes height data and weight data. The height data includes infrared data and ultrasonic data. The infrared data is collected by an infrared sensor located at a preset height on the side wall inside the collection box, and the ultrasonic data is collected by an ultrasonic sensor located at the top inside the collection box. The risk detection module is also used to determine the real-time weight change rate of the collection box based on the weight data. If any one of the following three conditions is met, it is determined that there is a risk of material overflow in the collection box: First condition: The infrared data meets a preset overflow condition; Second condition: The ultrasonic data is greater than a preset first height threshold; Third condition: The real-time weight change rate is greater than a preset change rate threshold.

[0113] In one embodiment, the control module 802 is further configured to control the alarm component of the rice milling equipment to execute a preset alarm strategy corresponding to the number of conditions that are met.

[0114] In one embodiment, the control module 802 is further configured to control the rice milling component of the rice milling device to start operating when the collection box is determined to be in a safe state based on the status data.

[0115] Each module in the aforementioned rice milling equipment overflow detection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the rice milling equipment in hardware form or independent of it, or stored in the memory of the rice milling equipment in software form, so that the processor can call and execute the corresponding operations of each module.

[0116] In one exemplary embodiment, a rice milling device is provided, the internal structure of which can be shown in the following diagram. Figure 9 As shown, the rice milling device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs in the non-volatile storage media to run. The database stores control data for the rice milling device. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a method for detecting overflow in the rice milling device's collection box.

[0117] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the rice milling equipment to which the present application is applied. Specific rice milling equipment may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0118] In an exemplary embodiment, a rice milling device is provided, including a collection box, a height detection component, a weight detection component, a rice milling component, an alarm component, a memory, and a processor. The height detection component, weight detection component, rice milling component, and alarm component are all connected to the processor. The height detection component is used to acquire the height data of the collection box and transmit it to the processor. The weight detection component is used to acquire the weight data of the collection box and transmit it to the processor. The processor is used to control the operation of the rice milling component and the alarm component. The memory stores a computer program, and when the processor executes the computer program, it implements the steps in the above-described embodiment of the method for detecting overflow of the collection box of the rice milling device.

[0119] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above embodiment of the method for detecting overflow of the rice milling equipment collection box.

[0120] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiment for detecting overflow of the rice milling equipment collection box.

[0121] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external high-density buffer memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0122] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0123] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for detecting overflow from the collection box of a rice milling device, characterized in that, The method includes: During the operation of the rice milling component of the rice milling equipment, the status data of the material in the collection box is acquired; the collection box is used to store the material obtained from the rice milling operation of the rice milling component. If, based on the status data, it is determined that there is a risk of material overflow from the collection box, the rice milling component of the rice milling equipment is controlled to stop operating.

2. The method according to claim 1, characterized in that, The status data includes height data and weight data, and the method further includes: The overflow risk index of the collection box is determined based on the height data and the weight data; If the spillover risk index is greater than a preset risk threshold, it is determined that there is a risk of spillage of the material in the collection box.

3. The method according to claim 2, characterized in that, The process of determining the overflow risk index of the collection box based on the height data and the weight data includes: The real-time weight change rate of the collection box is determined based on the weight data; The height data and the real-time weight change rate are normalized respectively. The normalized height data and the real-time weight change rate are weighted according to preset weights to obtain the overflow risk index of the collection box.

4. The method according to claim 1, characterized in that, The status data includes height data and weight data. The height data includes infrared data and ultrasonic data. The infrared data is collected by an infrared sensor located at a preset height on the side wall inside the collection box, and the ultrasonic data is collected by an ultrasonic sensor located at the top inside the collection box. The method further includes: The real-time weight change rate of the collection box is determined based on the weight data; If any one of the following three conditions is met, it is determined that there is a risk of spillage of the material in the collection box; First: The infrared data meets the preset overflow condition; Second: The ultrasonic data is greater than a preset first height threshold; The third item: The real-time weight change rate is greater than the preset change rate threshold.

5. The method according to claim 4, characterized in that, After the rice milling assembly of the rice milling equipment stops operating, the method further includes: Based on the number of times the conditions are met, the alarm component of the rice milling equipment is controlled to execute the preset alarm strategy corresponding to the number of times the conditions are met.

6. The method according to any one of claims 1 to 5, characterized in that, After the rice milling assembly of the rice milling equipment stops operating, the method further includes: If the collection box is determined to be in a safe state based on the status data, the rice milling component of the rice milling equipment is controlled to start operating.

7. A detection device for overflow from the collection box of a rice milling machine, characterized in that, The device includes: The data acquisition module is used to acquire the height and weight data of the collection box; The control module is used to control the rice milling component of the rice milling equipment to stop operating when it is determined that the collection box is in an overflow state based on the height data and the weight data.

8. A rice milling device, characterized in that, The method includes a collection box, a height detection component, a weight detection component, a rice milling component, an alarm component, a memory, and a processor. The height detection component, the weight detection component, the rice milling component, and the alarm component are all connected to the processor. The height detection component acquires the height data of the collection box and transmits it to the processor. The weight detection component acquires the weight data of the collection box and transmits it to the processor. The processor controls the operation of the rice milling component and the alarm component. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. The device according to claim 8, characterized in that, The height detection component includes an infrared sensor and an ultrasonic sensor. The infrared sensor is located at a preset height on the side wall inside the collection box, and the ultrasonic sensor is located at the top inside the collection box.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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