Processing equipment, processing humidity control method and device, computer equipment, storage medium and computer program product

Abstract

The invention relates to processing equipment, a processing humidity control method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring an object initial feature and an expected processing feature of a target object; determining the expected humidity information of the environment where the target object is located in the processing process based on the difference between the initial feature of the object and the expected processing feature; the expected humidity information comprises the predicted humidity of the environment at each moment in the processing process; and under the condition that the predicted humidity of the target moment in all the moments reaches the humidity threshold value, the drying assembly is started before the target moment so that the drying assembly can dry the target object. By adopting the method, the processing humidity control effect can be improved.

Description

Technical Field

[0001] This application relates to the field of processing technology, and in particular to a processing equipment, a processing humidity control method, an apparatus, a computer device, a storage medium, and a computer program product. Background Technology

[0002] With the rapid development of technology in the processing field, the demand for precise control of humidity in the processing environment is becoming increasingly prominent. During the processing, the humidity of the processing environment directly affects the physical properties and chemical stability of materials, which in turn leads to a decrease in processing accuracy, a reduction in product yield, and even equipment failure.

[0003] Traditional humidity control methods typically employ a passive adjustment strategy with a fixed humidity threshold. This means that drying or dehumidifying equipment is only activated when the ambient humidity sensor detects that the real-time humidity exceeds a preset threshold. However, humidity changes are lag-dependent; by the time the sensor triggers an alarm, the target object may have already suffered irreversible deformation or performance degradation due to humidity fluctuations. Therefore, traditional humidity control methods suffer from poor control effectiveness. Summary of the Invention

[0004] Therefore, it is necessary to address the technical problem of poor control effect of traditional processing humidity control methods by providing a processing equipment, processing humidity control method, device, computer equipment, storage medium, and computer program product.

[0005] In a first aspect, this application provides a method for controlling processing humidity. The method includes:

[0006] Obtain the initial characteristics and expected processing characteristics of the target object;

[0007] Based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0008] If the predicted humidity at a target time reaches a humidity threshold at any of the stated times, the drying assembly is activated before the target time so that the drying assembly dries the target object.

[0009] In one embodiment, determining the expected humidity information of the environment in which the target object is located during processing, based on the difference between the initial characteristics of the object and the desired processing characteristics, includes:

[0010] Determine the processing time from the initial features of the object to the desired processing features;

[0011] Based on the processing time and the initial characteristics of the object, the expected humidity information of the environment in which the target object is located during the processing is determined.

[0012] In one embodiment, the method further includes:

[0013] The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0014] The drying parameters include at least one of drying time or drying power; the drying power is positively correlated with the humidity difference; and the drying time is positively correlated with the humidity difference.

[0015] In one embodiment, the method further includes:

[0016] Collect the ambient temperature of the environment in which the target object is located;

[0017] When the ambient temperature is greater than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters;

[0018] The drying components are controlled to dry the target object by updating the drying parameters.

[0019] In one embodiment, the method further includes:

[0020] For each of the stated times, a humidity threshold corresponding to that time is determined based on the processing period to which the time belongs;

[0021] If the predicted humidity at the specified time is greater than or equal to the humidity threshold for the corresponding time period, the specified time is determined as the target time.

[0022] Secondly, this application also provides a processing apparatus, including a control assembly and a drying assembly connected to each other;

[0023] The control component is used to acquire the initial characteristics and desired processing characteristics of the target object; based on the difference between the initial characteristics and the desired processing characteristics, determine the expected humidity information of the environment in which the target object is located during the processing; the expected humidity information includes the predicted humidity of the environment at each moment during the processing; if the predicted humidity at a target moment reaches a humidity threshold at any of the stated moments, the drying component is activated before the target moment so that the drying component dries the target object.

[0024] Thirdly, this application also provides a processing humidity control device. The device includes:

[0025] The feature acquisition module is used to acquire the initial features and expected processing features of the target object;

[0026] The expected humidity information determination module is used to determine the expected humidity information of the environment in which the target object is located during the processing based on the difference between the initial characteristics of the object and the expected processing characteristics; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0027] A drying module is configured to activate the drying component before the target time if the predicted humidity at the target time reaches a humidity threshold at any of the stated times, so that the drying component dries the target object.

[0028] Fourthly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0029] Fifthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the method described above.

[0030] Sixthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described above.

[0031] The aforementioned processing equipment, processing humidity control method, device, computer equipment, storage medium, and computer program products, by acquiring data on the difference between the initial and desired characteristics of the target object, can quantitatively analyze the specific impact of humidity on processing accuracy, thereby generating a dynamic humidity control curve for the entire processing cycle, enabling a deep match between humidity adjustment strategies and material properties. Secondly, by starting the drying components in advance based on predicted humidity information, environmental pre-adjustment can be completed before the humidity reaches the threshold, compressing the time window of humidity fluctuations' impact on the processing process to zero, fundamentally avoiding processing problems caused by excessive humidity in traditional methods. Therefore, adopting the above method can improve the control effect of processing humidity control. Attached Figure Description

[0032] Figure 1 This is an application environment diagram of the processing humidity control method in one embodiment;

[0033] Figure 2 This is a flowchart illustrating a processing humidity control method in one embodiment;

[0034] Figure 3This is a flowchart illustrating the steps for determining the expected temperature information in one embodiment;

[0035] Figure 4 This is a flowchart illustrating the drying control steps in one embodiment;

[0036] Figure 5 This is a flowchart illustrating the target time determination step in one embodiment;

[0037] Figure 6 This is a schematic diagram of the processing equipment in one embodiment;

[0038] Figure 7 This is a flowchart illustrating the processing humidity control method in another embodiment;

[0039] Figure 8 This is a structural block diagram of a processing humidity control device in one embodiment;

[0040] Figure 9 This is an internal structural diagram of a computer device in one embodiment.

[0041] Reference numerals: 102-Control component; 104-Drying component; 106-Rice milling component; 108-Sensing component; 110-Ultraviolet disinfection component. Detailed Implementation

[0042] 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.

[0043] The processing humidity control method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, the control component 102 communicates with the drying component 104 via a network. The control component 102 is the core element for monitoring, controlling, and adjusting parameters, responsible for coordinating communication and collaboration between different functional modules to achieve precise control. Its core functions include data acquisition, signal processing, action execution, and status feedback. The drying component 104 is a functional module used to remove surface moisture and improve storage stability. It typically consists of a heat source, an airflow circulation system, and a temperature control unit, accelerating moisture evaporation through hot air or infrared radiation. Specifically, during the processing humidity control process, the control component 102 acquires the initial characteristics and desired processing characteristics of the target object; based on the difference between the initial characteristics and desired processing characteristics, it determines the expected humidity information of the environment in which the target object is located during processing; the expected humidity information includes the predicted humidity of the environment at each moment during processing; if the predicted humidity at the target moment reaches a humidity threshold at any given moment, the drying component is activated before the target moment to dry the target object.

[0044] In one embodiment, such as Figure 2 As shown, a processing humidity control method is provided, which is applied to... Figure 1 Taking control component 102 as an example, the following steps are included:

[0045] Step S202: Obtain the initial features and expected processing features of the target object.

[0046] In this context, the target object refers to the item that needs to be processed. In this scenario, it could be a raw material, a semi-finished product, or a finished product, such as food ingredients, wood to be processed, or metal parts. The specific type depends on the processing technology and purpose. Initial characteristics of the object are the various properties possessed by the target object before processing. These properties can be physical properties, such as shape, size, weight, and density; chemical properties, such as composition and pH; or other related properties, such as surface roughness and moisture content. Desired processing characteristics are the various properties that the target object is expected to achieve after processing. This also covers physical and chemical properties. For example, processed food should reach a specified state; processed wood should achieve specific dimensional accuracy and a smooth surface; metal parts should achieve specific hardness and strength; and food ingredients should achieve specific taste and nutritional content. For instance, if the target object is rice, and the initial characteristics are indica rice or japonica rice, the desired processing characteristics would be brown rice or polished rice.

[0047] Specifically, various detection methods and analytical approaches can be employed to acquire the initial characteristics of a target object. If the target object is a food raw material, its initial moisture content, nutrient content, pH level, etc., need to be detected. For example, the initial characteristics and desired processing characteristics of the target object can be directly determined based on user requirements; the initial characteristics can also be determined through feature acquisition of the target object. If the target object is a mechanical part, this may involve using measuring tools to accurately measure its length, diameter, thickness, and other dimensional parameters, using a surface roughness meter to detect its surface smoothness, using a hardness tester to test its hardness index, and simultaneously using chemical analysis methods to determine its material composition. Only by accurately acquiring the initial characteristics and clearly defining the desired processing characteristics of the target object can clear guidance and basis be provided for subsequent processing.

[0048] Step S204: Based on the difference between the initial characteristics of the object and the expected processing characteristics, determine the expected humidity information of the environment in which the target object is located during the processing.

[0049] The expected humidity information includes the predicted humidity of the environment at every moment during the processing. This information is determined based on the difference between the initial characteristics of the object and the desired processing characteristics, predicting the humidity of the environment in which the target object is located at each moment during processing. Humidity information is crucial for many processing steps; different processing techniques and target objects have different requirements for environmental humidity, and appropriate humidity ensures processing quality. Predicted humidity is an estimated value of the environmental humidity at every moment during processing, derived after comprehensively considering various factors, such as the characteristics of the target object, processing requirements, and initial environmental conditions.

[0050] Specifically, after obtaining the initial characteristics and desired processing characteristics of the target object, it is necessary to analyze the differences between them in depth. These differences encompass multiple aspects. Based on these differences, combined with factors such as the material properties of the target object, the specific requirements of the processing technology, and the initial environmental conditions, the expected humidity of the environment in which the target object is located during processing is determined at each moment, thus forming the expected humidity information of the environment in which the target object is located during processing. It can be understood that the expected humidity information can be represented in a coordinate system by the trend of change between time and humidity. Furthermore, in the case of rice, since the humidity increases during rice processing, the more refined the desired processing characteristics and the longer the processing time, the higher the humidity will be. In other words, the greater the difference between the initial characteristics and the desired processing characteristics, the longer the processing time, and the higher the humidity will be.

[0051] Optionally, the control component can pre-train a neural network model to determine the expected humidity information, using the difference between the initial features of the object and the desired processing features as input to the neural network model, and the output is the expected humidity information of the environment in which the target object is located during processing. Optionally, the control component can also directly determine the expected humidity information of the environment in which the target object is located during processing based on historical experience and the difference between the initial features of the object and the desired processing features.

[0052] Step S206: If the predicted humidity at the target time reaches the humidity threshold at any time, the drying component is turned on before the target time so that the drying component dries the target object.

[0053] The humidity threshold is a pre-set humidity limit. When the ambient humidity reaches or exceeds this limit, it may adversely affect the processing quality of the target object, so corresponding measures need to be taken, such as turning on the drying unit. The target time is the specific moment during processing when the predicted humidity reaches the humidity threshold. The drying unit is a device or apparatus used to reduce ambient humidity or remove moisture from the surface of the target object. Common drying units include hot air dryers and infrared drying equipment. Their working principle is usually to accelerate moisture evaporation by heating the air or generating specific radiation.

[0054] Specifically, during processing, the predicted humidity at every moment needs to be monitored and analyzed in real time. Humidity data is continuously collected using devices such as humidity sensors installed in the processing environment and compared with pre-determined expected humidity information. If the predicted humidity at any moment (the target moment) reaches or exceeds the pre-set humidity threshold, it means that the current or upcoming ambient humidity may adversely affect the processing quality of the target object, such as causing metal parts to rust, food to spoil, or electronic components to short-circuit. To avoid these adverse consequences, the drying components must be activated before the target moment arrives. Once activated, the drying components, based on their working principles (e.g., hot air drying components heat air and blow it onto the target object to accelerate the evaporation of surface moisture; infrared drying components use infrared radiation to intensify the vibration of internal moisture molecules in the target object, leading to rapid evaporation), effectively reduce ambient humidity or remove surface moisture from the target object. This ensures that the processing is always carried out under suitable humidity conditions, guaranteeing that the target object can successfully achieve the desired processing characteristics, improving product quality and yield.

[0055] The aforementioned humidity control method, by acquiring the difference data between the initial and desired characteristics of the target object, can quantitatively analyze the specific impact of humidity on processing accuracy, thereby generating a dynamic humidity control curve for the entire processing cycle, enabling a deep match between the humidity adjustment strategy and material properties. Secondly, by starting the drying component in advance based on predicted humidity information, environmental pre-conditioning can be completed before the humidity reaches the threshold, compressing the time window of humidity fluctuations' impact on the processing process to zero, fundamentally avoiding processing problems caused by excessive humidity in traditional methods. Therefore, adopting the above method can improve the control effect of processing humidity.

[0056] In one embodiment, such as Figure 3 As shown, based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during processing is determined, including:

[0057] Step S302: Determine the processing time from the initial features of the object to the desired features.

[0058] The processing time is the length of time required to process the target object from its initial feature state to the desired feature state.

[0059] Specifically, after clarifying the initial characteristics and desired processing characteristics of the target object, it is necessary to comprehensively consider factors such as the material of the target object, the complexity of the processing technology, and the processing capacity of the equipment to determine the time required to process it from its initial state to the desired state. For example, if the target object is a type of rice, the processing time required to process it to different degrees will vary depending on the type of rice.

[0060] Step S304: Based on the processing time and initial characteristics of the object, determine the expected humidity information of the environment in which the target object is located during the processing.

[0061] Specifically, after determining the processing time, by combining the differences between the initial features of the object and the expected processing features, the expected humidity information of the environment in which the target object is located during the processing can be determined. For example, the LSTM model can predict the humidity change trend based on the collected processing time and initial features of the object, and calculate the predicted humidity at a future time t: H(t) = δ·t + α·initial features of the object + β·initial humidity + γ·processing time.

[0062] Where α, β, γ, and δ are constants. The initial characteristic of the object is the rice variety, including indica rice and japonica rice. The initial humidity is the value detected by the humidity sensor.

[0063] In this embodiment, by determining the processing time and combining the initial and expected characteristics to determine the expected humidity information, the humidity control during the processing can be planned more accurately, so that the humidity control matches the processing progress, thereby improving the processing quality and efficiency.

[0064] In one embodiment, the processing humidity control method further includes: determining drying parameters of the drying component based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0065] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0066] Specifically, once the target time is determined, the difference between the predicted humidity and the humidity threshold at that time is calculated. Based on the magnitude of this humidity difference, the drying parameters of the drying unit are determined, including at least one of drying time or drying power. Generally, the larger the humidity difference, the greater the deviation of the ambient humidity from the ideal state, requiring an increase in drying power or an extension of drying time to reduce humidity more quickly. For example, if the humidity difference is large, the drying power can be increased to allow the drying unit to generate heat more quickly to evaporate the moisture; or the drying time can be appropriately extended to ensure that the humidity is reduced to a suitable range.

[0067] In this embodiment, the drying parameters are dynamically determined based on the humidity difference, which enables the working state of the drying component to adapt to the actual humidity conditions, avoiding over-drying or under-drying, improving the drying effect, and saving energy.

[0068] In one embodiment, such as Figure 4 As shown, the processing humidity control method also includes:

[0069] Step S402: Collect the ambient temperature of the environment where the target object is located.

[0070] Here, ambient temperature refers to the actual temperature of the environment in which the target object is located. Temperature threshold is a pre-set temperature limit; when the ambient temperature exceeds this limit, it may adversely affect the drying process or the target object.

[0071] Specifically, real-time temperature data of the environment surrounding the target object can be collected using devices such as temperature sensors. Temperature sensors can be installed at different locations on the processing equipment to obtain more accurate ambient temperature information.

[0072] Step S404: When the ambient temperature is greater than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters.

[0073] Among them, the updated drying parameters are the new parameters obtained by adjusting the original drying parameters based on the temperature difference between the ambient temperature and the temperature threshold.

[0074] Specifically, when the collected ambient temperature exceeds a preset temperature threshold, the difference between the ambient temperature and the temperature threshold is calculated. Based on the magnitude of this temperature difference, the previously determined drying parameters are adjusted. For example, if the temperature difference is large, it indicates that the ambient temperature is too high, which may affect the drying effect or have adverse effects on the target object. In this case, the drying power can be appropriately reduced or the drying time shortened to avoid problems caused by excessive temperature.

[0075] Step S406: The drying components are controlled to dry the target object by updating the drying parameters.

[0076] Specifically, the control component can input the adjusted and updated drying parameters into the control system of the drying component, so that the drying component can operate according to the new parameters, thereby drying the target object.

[0077] In this embodiment, the influence of ambient temperature on the drying process is considered, and the drying parameters are adjusted according to the temperature difference. This ensures that the drying process can be carried out stably and effectively under different ambient temperatures, thereby improving the drying quality and the processing quality of the target object.

[0078] In one embodiment, such as Figure 5 As shown, the processing humidity control method also includes:

[0079] Step S502: For each moment, determine the humidity threshold corresponding to that moment based on the processing time period to which that moment belongs.

[0080] The processing time period is the different time periods into which the entire processing process is divided according to certain rules. Different processing time periods may have different requirements for environmental humidity.

[0081] Specifically, the control component can divide the entire processing process into multiple different processing periods. Based on the characteristics of each processing period and the target object's requirements for environmental humidity during that period, a corresponding humidity threshold can be set for each period. For example, when processing rice, the humidity will increase as the processing time increases. Therefore, the humidity threshold in the initial processing period can be appropriately lowered, while the humidity threshold in the later processing stage can be appropriately raised.

[0082] Step S504: If the predicted humidity at a given time is greater than or equal to the humidity threshold of the time period, then the time is determined as the target time.

[0083] Specifically, the control component can monitor the predicted humidity at each moment in real time and compare it with the humidity threshold of the processing period to which that moment belongs. If the predicted humidity at a certain moment is greater than or equal to the humidity threshold of that period, it indicates that the ambient humidity at that moment may have an adverse effect on the processing steps of that period. This moment is then determined as the target moment so that corresponding drying measures can be taken subsequently.

[0084] In this embodiment, different humidity thresholds are set according to different processing periods, and the target time is determined accordingly. This enables more precise control of humidity during the processing, making humidity control more in line with the needs of different processing stages and improving the targeting and effectiveness of the processing.

[0085] In one embodiment, such as Figure 1 As shown, a processing device is also provided, including a control assembly 102 and a drying assembly 104 connected to each other;

[0086] Control component 102 is used to acquire the initial characteristics and expected processing characteristics of the target object; based on the difference between the initial characteristics and expected processing characteristics, determine the expected humidity information of the environment in which the target object is located during the processing; the expected humidity information includes the predicted humidity of the environment at each moment during the processing; if the predicted humidity at the target moment reaches the humidity threshold at any moment, the drying component 104 is turned on before the target moment so that the drying component 104 dries the target object.

[0087] Specifically, various detection methods and analytical approaches can be used to acquire the initial characteristics of a target object. If the target object is a food raw material, its initial moisture content, nutrient content, pH, etc., need to be detected. For example, the initial characteristics and desired processing characteristics of the target object can be directly determined based on user needs; the initial characteristics can also be determined through feature acquisition of the target object. If the target object is a mechanical part, it may involve using measuring tools to accurately measure its length, diameter, thickness, and other dimensional parameters, using a surface roughness meter to detect its surface smoothness, using a hardness tester to test its hardness index, and using chemical analysis methods to determine its material composition. Only by accurately acquiring the initial characteristics and clearly defining the desired processing characteristics of the target object can clear guidance and basis be provided for the subsequent processing. After acquiring the initial characteristics and desired processing characteristics of the target object, it is necessary to analyze the differences between them in depth. These differences cover multiple aspects. Based on these differences, combined with the material properties of the target object, the specific requirements of the processing technology, and the initial environmental conditions, the expected humidity of the environment in which the target object is located at each moment during processing is determined, thus forming the expected humidity information of the environment in which the target object is located during processing. It is understandable that the expected humidity information can be represented in a coordinate system by the trend of humidity changes over time. Furthermore, when the target object is rice, the humidity increases during rice processing. Therefore, the more refined the processing required for the desired characteristics, the longer the processing time, and the higher the humidity. In other words, the greater the difference between the initial characteristics of the object and the desired processing characteristics, the longer the processing time, and the higher the humidity. During processing, the predicted humidity at each moment needs to be monitored and analyzed in real time. Humidity data is continuously collected using humidity sensors and other devices installed in the processing environment and compared with the pre-determined expected humidity information. If the predicted humidity at any moment (the target moment) reaches or exceeds the pre-set humidity threshold, it means that the current or upcoming environmental humidity may adversely affect the processing quality of the target object, such as causing metal parts to rust, food spoilage, or short circuits in electronic components. To avoid these adverse consequences, the drying components must be activated before the target moment arrives. Once the drying components are turned on, they will operate according to their working principles. For example, hot air drying components heat air and blow it toward the target object to accelerate the evaporation of moisture on its surface; infrared drying components use infrared radiation to intensify the vibration of moisture molecules inside the target object, causing them to evaporate rapidly. This effectively reduces ambient humidity or removes moisture from the surface of the target object, ensuring that the processing is always carried out under suitable humidity conditions. This guarantees that the target object can successfully achieve the desired processing characteristics, improving product quality and pass rate.

[0088] By employing the aforementioned processing equipment and acquiring the difference data between the initial and desired characteristics of the target object, the specific impact of humidity on processing accuracy can be quantitatively analyzed. This allows for the generation of a dynamic humidity control curve throughout the entire processing cycle, ensuring a deep match between the humidity adjustment strategy and material properties. Furthermore, by proactively activating the drying components based on predicted humidity information, environmental pre-adjustment can be completed before the humidity reaches the threshold, compressing the time window of humidity fluctuations' impact on the processing process to zero. This fundamentally avoids processing problems caused by excessive humidity, as is common in traditional methods. Therefore, this method significantly improves the control effectiveness of humidity management during processing.

[0089] In a specific embodiment, such as Figure 6 As shown, a processing humidity control method is also provided, applied to a rice milling machine. The rice milling machine is equipped with a rice milling assembly 106, a drying assembly 104, a sensing assembly 108, an ultraviolet disinfection assembly 110, and a control assembly (not shown in the figure). The rice milling assembly 106 includes a motor and a rice milling screw. The sensing assembly 108 includes a humidity sensor and a temperature sensor, installed inside the rice milling chamber to detect the real-time temperature and humidity inside the chamber. The drying assembly 104 includes heating elements and a DC fan; the heating elements heat the rice, and the fan blows hot air into the rice milling chamber for dehumidification and drying. The ultraviolet disinfection assembly 110 uses an ultraviolet lamp, encapsulated at the top of the rice milling chamber for use in a sealed environment to prevent ultraviolet leakage. This disinfects the rice grains after milling, reducing the mold rate. The control assembly can output a predicted humidity change curve based on collected data including rice variety (initial characteristics of the object), initial humidity, milling precision (desired processing characteristics), and processing time. The control component uses an embedded computer or cloud server as a computing platform, is configured with storage devices to store historical data and algorithm models, and starts the drying component before the target time when the predicted humidity at the target time reaches the humidity threshold, based on the prediction results of LSTM (Long Short-Term Memory).

[0090] The relationships between rice variety, milling precision, milling time, and humidity are as follows: Indica rice has a loose grain structure and strong hygroscopicity; Japonica rice has a dense structure and weak hygroscopicity; Indica rice increases in humidity faster than Japonica rice; Milling precision results in a lower hulling rate for brown rice, leading to less moisture release, while a higher hulling rate for polished rice results in more moisture release and higher humidity, showing a positive correlation between milling precision and humidity; Milling time increases friction between rice grains, generating heat that causes moisture evaporation and thus increases humidity, showing a positive correlation between milling time and humidity.

[0091] Furthermore, after the rice milling machine starts working, it is divided into a rice milling stage, a drying stage, a disinfection and mold-inhibiting stage, and a cooling and storage stage. In the rice milling stage, a preset amount of paddy rice, V, enters the milling hopper. Humidity sensors inside the hopper detect the humidity. As milling progresses, the paddy rice is circulated between the milling hopper and the milling components, leading to an increase in humidity and moisture content in the rice grains. The LSTM model can predict the humidity change trend based on the collected processing time and initial features of the object, calculating the predicted humidity at a future time t: H(t) = δ·t + α·initial features of the object + β·initial humidity + γ·processing time.

[0092] Where α, β, γ, and δ are constants. The initial characteristic of the object is the rice variety, including indica rice and japonica rice. The initial humidity is the value detected by the humidity sensor.

[0093] When the predicted humidity exceeds the preset threshold of 60%, the corresponding time t0 is the point at which the humidity is about to exceed the threshold. The drying start time t = t0 - 1.5 min, and the predicted drying start time is 1.5 minutes earlier than t0. The predicted time t0 for humidity exceeding the threshold varies depending on the rice variety, initial humidity, and milling time. This dynamically advances the start of the drying components, avoiding lag in humidity control before the rice grains have absorbed moisture.

[0094] When the humidity sensor detects that the humidity inside the rice milling hopper exceeds a preset threshold of 60%, the drying stage begins. The control component receives the prediction time t0 from the LSTM model and starts the drying component 1.5 minutes before t0. This involves the PTC heater in the drying component activating, and a DC fan blowing hot air into the rice milling hopper to reduce humidity during the milling process, thereby lowering the moisture content of the rice grains. Simultaneously, the temperature sensor detects the temperature inside the rice milling hopper. When the temperature exceeds 50℃, to prevent excessive heat from affecting the nutrients in the rice grains, the heating power is reduced, and the temperature is lowered to 45℃. Drying ends when the humidity sensor detects that the humidity is consistently below 50% for more than 5 minutes.

[0095] After drying, during the disinfection stage, the ultraviolet lamps start working. The working time of the ultraviolet lamps is automatically adjusted according to the amount of rice V. The preset working time is T1 when the amount of rice V < V1, T2 when the amount of rice V1 < V < V2, and T3 when the amount of rice V > V2. In order to fully sterilize and remove mold from the rice grains, sterilization and mold removal are carried out during the circulation process of the rice grains from brown rice to polished rice in the rice milling bin, and the mold is inactivated.

[0096] After drying, sterilization and mold removal, the rice enters the cooling and storage stage. The heater of the hot air unit stops working, and the DC fan blows out cold air continuously to lower the temperature of the rice grains to 25°C, after which the rice grains fall into the rice storage box.

[0097] The above methods ensure that the rice is dried and mold is inactivated by monitoring the temperature and humidity during the rice milling process. Hot air is used to dry the rice, eliminating conditions for mold growth, and ultraviolet lamps are used to inactivate any remaining mold after drying, providing a double guarantee for mold inhibition.

[0098] In a specific embodiment, such as Figure 7 As shown, a method for controlling processing humidity is also provided, including:

[0099] Step S701: Obtain the initial features and expected processing features of the target object;

[0100] Step S702: Determine the processing time from the initial features of the object to the desired features.

[0101] Step S703: Based on the processing time and initial characteristics of the object, determine the expected humidity information of the environment in which the target object is located during the processing.

[0102] The expected humidity information includes the predicted humidity of the environment at every moment during the processing.

[0103] Step S704: Determine the drying parameters of the drying component based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0104] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0105] Step S705: Collect the ambient temperature of the environment where the target object is located;

[0106] Step S706: When the ambient temperature is greater than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters.

[0107] Step S707: For each moment, determine the humidity threshold corresponding to that moment based on the processing period to which that moment belongs;

[0108] Step S708: If the predicted humidity at a given time is greater than or equal to the humidity threshold for the corresponding time period, then the time is determined as the target time.

[0109] Step S709: Before the target time, start the drying component to control the drying component to dry the target object by updating the drying parameters.

[0110] 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 of other steps.

[0111] Based on the same inventive concept, this application also provides a processing humidity control device for implementing the processing humidity control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more processing humidity control device embodiments provided below can be found in the limitations of the processing humidity control method described above, and will not be repeated here.

[0112] In one embodiment, such as Figure 8 As shown, a processing humidity control device 800 is provided, including: a feature acquisition module 802, a expected humidity information determination module 804, and a drying module 806, wherein:

[0113] Feature acquisition module 802 is used to acquire the initial features and expected processing features of the target object;

[0114] The expected humidity information determination module 804 is used to determine the expected humidity information of the environment in which the target object is located during the processing based on the difference between the initial characteristics of the object and the expected processing characteristics; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0115] The drying module 806 is used to activate the drying component before the target time when the predicted humidity at the target time reaches the humidity threshold, so that the drying component dries the target object.

[0116] In one embodiment, the expected humidity information determination module 804 is specifically used for:

[0117] Determine the processing time from the initial features of the object to the desired features;

[0118] Based on processing time and initial characteristics of the object, the expected humidity information of the environment in which the target object is located during processing is determined.

[0119] In one embodiment, the processing humidity control device 800 further includes a drying parameter determination module, specifically used for:

[0120] The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0121] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0122] In one embodiment, the processing humidity control device 800 further includes a temperature acquisition module, specifically used for:

[0123] Collect the ambient temperature of the environment in which the target object is located;

[0124] When the ambient temperature is higher than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters;

[0125] The drying components are controlled to dry the target object by updating the drying parameters.

[0126] In one embodiment, the processing humidity control device 800 further includes a target time determination module, specifically used for:

[0127] For each moment, the humidity threshold corresponding to that moment is determined based on the processing period to which it belongs;

[0128] If the predicted humidity at a given time is greater than or equal to the humidity threshold for that time period, then that time is determined as the target time.

[0129] Each module in the aforementioned processing humidity control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0130] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 9As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a processing humidity control method. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0131] 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 computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0132] In one embodiment, a computer device is provided, 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:

[0133] Obtain the initial characteristics and expected processing characteristics of the target object;

[0134] Based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0135] If the predicted humidity at the target time reaches the humidity threshold at any given time, the drying unit is activated before the target time so that the drying unit can dry the target object.

[0136] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0137] Determine the processing time from the initial features of the object to the desired features;

[0138] Based on processing time and initial characteristics of the object, the expected humidity information of the environment in which the target object is located during processing is determined.

[0139] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0140] The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0141] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0142] In one embodiment, when the processor executes the computer program, it also performs the following steps: collecting the ambient temperature of the environment in which the target object is located;

[0143] When the ambient temperature is higher than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters;

[0144] The drying components are controlled to dry the target object by updating the drying parameters.

[0145] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0146] For each moment, the humidity threshold corresponding to that moment is determined based on the processing period to which it belongs;

[0147] If the predicted humidity at a given time is greater than or equal to the humidity threshold for that time period, then that time is determined as the target time.

[0148] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0149] Obtain the initial characteristics and expected processing characteristics of the target object;

[0150] Based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0151] If the predicted humidity at the target time reaches the humidity threshold at any given time, the drying unit is activated before the target time so that the drying unit can dry the target object.

[0152] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0153] Determine the processing time from the initial features of the object to the desired features;

[0154] Based on processing time and initial characteristics of the object, the expected humidity information of the environment in which the target object is located during processing is determined.

[0155] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0156] The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0157] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0158] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: collecting the ambient temperature of the environment in which the target object is located;

[0159] When the ambient temperature is higher than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters;

[0160] The drying components are controlled to dry the target object by updating the drying parameters.

[0161] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0162] For each moment, the humidity threshold corresponding to that moment is determined based on the processing period to which it belongs;

[0163] If the predicted humidity at a given time is greater than or equal to the humidity threshold for that time period, then that time is determined as the target time.

[0164] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0165] Obtain the initial characteristics and expected processing characteristics of the target object;

[0166] Based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing.

[0167] If the predicted humidity at the target time reaches the humidity threshold at any given time, the drying unit is activated before the target time so that the drying unit can dry the target object.

[0168] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0169] Determine the processing time from the initial features of the object to the desired features;

[0170] Based on processing time and initial characteristics of the object, the expected humidity information of the environment in which the target object is located during processing is determined.

[0171] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0172] The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold.

[0173] The drying parameters include at least one of drying time or drying power; drying power is positively correlated with humidity difference; drying time is positively correlated with humidity difference.

[0174] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: collecting the ambient temperature of the environment in which the target object is located;

[0175] When the ambient temperature is higher than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters;

[0176] The drying components are controlled to dry the target object by updating the drying parameters.

[0177] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0178] For each moment, the humidity threshold corresponding to that moment is determined based on the processing period to which it belongs;

[0179] If the predicted humidity at a given time is greater than or equal to the humidity threshold for that time period, then that time is determined as the target time.

[0180] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0181] 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. When executed, the computer program 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 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 cache 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, etc., and are not limited to these.

[0182] 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 specification.

[0183] 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 controlling processing humidity, characterized in that, The method includes: Obtain the initial characteristics and expected processing characteristics of the target object; Based on the difference between the initial characteristics of the object and the expected processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing. If the predicted humidity at a target time reaches a humidity threshold at any of the stated times, the drying assembly is activated before the target time so that the drying assembly dries the target object.

2. The method according to claim 1, characterized in that, The step of determining the expected humidity information of the environment in which the target object is located during processing, based on the difference between the initial characteristics of the object and the expected processing characteristics, includes: Determine the processing time from the initial features of the object to the desired processing features; Based on the processing time and the initial characteristics of the object, the expected humidity information of the environment in which the target object is located during the processing is determined.

3. The method according to claim 1, characterized in that, The method further includes: The drying parameters of the drying component are determined based on the humidity difference between the predicted humidity at the target time and the humidity threshold. The drying parameters include at least one of drying time or drying power; the drying power is positively correlated with the humidity difference; and the drying time is positively correlated with the humidity difference.

4. The method according to claim 3, characterized in that, The method further includes: Collect the ambient temperature of the environment in which the target object is located; When the ambient temperature is greater than the temperature threshold, the drying parameters are adjusted based on the temperature difference between the ambient temperature and the temperature threshold to obtain updated drying parameters; The drying components are controlled to dry the target object by updating the drying parameters.

5. The method according to any one of claims 1 to 4, characterized in that, The method further includes: For each of the stated times, a humidity threshold corresponding to that time is determined based on the processing period to which the time belongs; If the predicted humidity at the specified time is greater than or equal to the humidity threshold for the corresponding time period, the specified time is determined as the target time.

6. A processing device, characterized in that, This includes interconnected control and drying components; The control component is used to acquire the initial characteristics and desired processing characteristics of the target object; Based on the difference between the initial characteristics of the object and the desired processing characteristics, the expected humidity information of the environment in which the target object is located during the processing is determined; the expected humidity information includes the predicted humidity of the environment at each moment during the processing; if the predicted humidity at a target moment reaches a humidity threshold at any of the stated moments, the drying component is turned on before the target moment so that the drying component dries the target object.

7. A processing humidity control device, characterized in that, The device includes: The feature acquisition module is used to acquire the initial features and expected processing features of the target object; The expected humidity information determination module is used to determine the expected humidity information of the environment in which the target object is located during the processing based on the difference between the initial characteristics of the object and the expected processing characteristics; the expected humidity information includes the predicted humidity of the environment at each moment during the processing. A drying module is configured to activate the drying component before the target time if the predicted humidity at the target time reaches a humidity threshold at any of the stated times, so that the drying component dries the target object.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. 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 5.

10. 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 5.

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