An intelligent power supply method, system, medium and product for a fumigation device

Abstract

An intelligent power supply method, system, medium, and product for a fumigation device relate to the field of power supply technology. The method includes: determining the power consumption required for the fumigation device to complete the fumigation task based on a preset state-current correspondence; comparing the power storage in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task; if not, determining a first power adjustment plan and a second power adjustment plan based on a preset power adjustment strategy; determining a first temperature change curve and a second temperature change curve for the fumigation device based on the first and second power adjustment plans; calculating the similarity between the first and second temperature change curves and the preset temperature change curve; and determining the power adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan. Implementing this method can provide intelligent power supply management, maximizing fumigation effectiveness in the event of power shortages.

Description

Technical Field

[0001] The present application relates to the field of power supply technology, and in particular to an intelligent power supply method, system, medium and product for a fumigation device. Background Art

[0002] With socioeconomic development and improved living standards, environmental sanitation is receiving increasing attention. Fumigation, as a highly effective sterilization and pest control method, is widely used in healthcare, agriculture, and food processing. Fumigation equipment typically requires a stable power supply during operation to ensure effective and safe fumigation.

[0003] Existing fumigation devices typically use traditional power supply systems, directly powered by the grid to meet the power requirements of the fumigation process. However, these power supply systems typically rely on fixed currents and preset operating states to control the operation of the fumigation devices. Lack of intelligent power supply management prevents the fumigation devices from adjusting their operating states in a timely manner when power is insufficient, resulting in incomplete fumigation tasks or poor fumigation results. Summary of the Invention

[0004] The present application provides an intelligent power supply method, system, medium and product for a fumigation device, which are used to provide intelligent power supply management and maximize the fumigation effect in the event of power shortage.

[0005] In a first aspect, the present application provides an intelligent power supply method for a fumigation device, which is applied to an intelligent power supply system, the method comprising: determining the power consumption of the fumigation device to complete a fumigation task according to a preset state-current correspondence relationship, the state-current correspondence relationship including the working current corresponding to the fumigation device under multiple working states, and the fumigation task including a preset temperature change curve of the fumigation device; comparing the storage capacity in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task; if not, determining a first power adjustment scheme and a second power adjustment scheme according to a preset power adjustment strategy; determining a first temperature change curve and a second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme respectively; calculating the similarity of the first temperature change curve and the second temperature change curve with the preset temperature change curve respectively; and determining the power adjustment scheme corresponding to the temperature change curve with the highest similarity as the optimal power supply scheme.

[0006] By employing the above technical solution, the intelligent power supply system can determine the operating state and corresponding operating current of the fumigation device when completing a fumigation task. It then combines multiple operating currents under multiple operating states to predetermine the power consumption for the fumigation task. The intelligent power supply system then compares the power consumption of the fumigation device with the storage capacity of the power storage device, allowing it to determine in advance whether the power storage device has sufficient power to support the fumigation task. If the storage capacity is insufficient, it indicates that the fumigation device may not be able to complete the fumigation task. The intelligent power supply system can develop multiple power adjustment plans, simulate the corresponding temperature change curves for each power adjustment plan, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curve to determine their similarity, thereby selecting the optimal power supply plan. This method enables the fumigation device to complete the fumigation task and achieve the ideal fumigation effect as closely as possible even when the storage capacity is insufficient, thereby improving the efficiency of power resource utilization and enhancing the adaptability and reliability of the fumigation device in complex environments. Furthermore, this intelligent power supply management method can effectively avoid problems such as fumigation task interruptions or poor results caused by insufficient power, significantly improving the practical application and economic benefits of the fumigation device.

[0007] In combination with some embodiments of the first aspect, in some embodiments, the working state includes at least a first state and a second state, the first state corresponds to a first current, the second state corresponds to a second current, and the second current is less than the first current; the first power adjustment plan specifically includes: determining the first power consumption based on the first current and the first working time corresponding to the first state; determining the adjusted second current based on the power consumption, the first power consumption and the second working time corresponding to the second state; determining the first working time and the first current corresponding to the first state, and the second working time and the adjusted second current corresponding to the second state as the first power adjustment plan.

[0008] By adopting the above technical solution, the intelligent power supply system divides the fumigation process into different working states and allocates different working currents to each working state. This method realizes more refined power management. In the first power adjustment scheme, the intelligent power supply system maintains the first current of the high-power consumption working state (first state) unchanged, and adjusts the second current of the low-power consumption working state (second state), which not only ensures the power supply demand in the critical stage, but also realizes the control of overall power consumption. This strategy maximizes the efficiency of the use of limited power while ensuring the fumigation effect. In addition, this method also provides the possibility of flexible adjustment, so that the fumigation device can better adapt to different fumigation tasks and power supply conditions.

[0009] In combination with some embodiments of the first aspect, in some embodiments, the second power adjustment plan specifically includes: determining the first power consumption based on the minimum operating current and the first working time of the fumigation device in the first state; determining the adjusted second current according to the power consumption, the first power consumption and the second working time corresponding to the second state; and determining the first working time and the minimum operating current corresponding to the first state and the second working time and the adjusted second current corresponding to the second state as the second power adjustment plan.

[0010] By adopting the above technical solution, the second power adjustment solution further optimizes power usage compared to the first power adjustment solution by reducing the first current in the first state to the minimum operating current. This solution, building on the first power adjustment solution, explores even more extreme power-saving possibilities, providing a solution for situations where power is extremely limited. In this way, even in severe power shortages, the fumigation device can still complete basic fumigation tasks. This not only improves the robustness and reliability of the intelligent power supply system, but also expands its application range, enabling it to operate normally under a variety of demanding power supply conditions. At the same time, this solution also provides users with more options, allowing them to strike a better balance between fumigation effect and power consumption based on actual conditions and needs.

[0011] In combination with some embodiments of the first aspect, in some embodiments, determining the first temperature change curve and the second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme, respectively, specifically includes: based on the first power adjustment scheme, simulating and calculating the temperature change of the fumigation device throughout the fumigation process to obtain the first temperature change curve; based on the second power adjustment scheme, simulating and calculating the temperature change of the fumigation device throughout the fumigation process to obtain the second temperature change curve.

[0012] By adopting the above technical solution, the intelligent power supply system simulates and calculates the temperature change curves under different power adjustment schemes, achieving accurate prediction and control of the fumigation process. This simulation-based method allows the intelligent power supply system to evaluate the fumigation effect of the fumigation device under different power adjustment schemes before powering the fumigation device. This not only greatly reduces the trial and error costs in actual operation, but also improves the predictability and controllability of the fumigation process. By comparing the temperature change curves under different power adjustment schemes, the intelligent power supply system can select the power adjustment scheme that is closest to the preset temperature change curve, thereby achieving the best fumigation effect under limited power resources. This method significantly improves the operating efficiency of the fumigation device and also provides strong data support for the optimization of the fumigation process.

[0013] In combination with some embodiments of the first aspect, in some embodiments, after the step of comparing the stored power in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task, the method further includes: if the fumigation device can complete the fumigation task, determining the actual temperature change curve during the fumigation process; and analyzing the cause of the deviation between the actual temperature change curve and the preset temperature change curve to optimize the temperature control accuracy of the subsequent fumigation process.

[0014] By implementing the above technical solution, if the storage device has sufficient power, the fumigation device can complete the current fumigation task according to its original operating state and operating current. The intelligent power supply system records and analyzes the actual temperature change curve and the corresponding heating power and heating current during the fumigation process, and compares the actual temperature change curve with the preset temperature change curve, enabling real-time monitoring and subsequent optimization of the fumigation process. By analyzing the reasons for deviations between the actual temperature change curve and the preset temperature change curve, the preset temperature change curve for the fumigation task can be continuously learned and optimized, thereby determining more accurate temperature changes for future fumigation tasks. This self-optimization mechanism greatly improves the adaptability and performance stability of the fumigation device. At the same time, this method also provides a data foundation for the continuous improvement of the fumigation process, helping to improve the consistency and reliability of the fumigation effect, thereby enhancing the quality and efficiency of the entire fumigation process.

[0015] In combination with some embodiments of the first aspect, in some embodiments, after the step of determining the power adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan, the method also includes: recording the ambient temperature and ambient humidity before, during, and after the fumigation process; and storing the ambient temperature and ambient humidity in a preset database.

[0016] By implementing this technical solution, the intelligent power supply system records and stores ambient temperature and humidity before, during, and after the fumigation process, establishing a comprehensive database of pre-set environmental parameters. These parameters can be used not only to analyze the impact of environmental factors on fumigation effectiveness but also to optimize future fumigation missions.

[0017] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: monitoring the power supply status of the fumigation device; when a power supply abnormality is detected in the power supply status, sending a power supply abnormality prompt message to the nearest maintenance personnel, so that the nearest maintenance personnel can perform an inspection.

[0018] By implementing the above technical solution, the intelligent power supply system significantly improves the operational safety and reliability of the fumigation equipment by monitoring the power supply status of the fumigation equipment in real time and promptly notifying the nearest maintenance personnel when power anomalies occur. This proactive monitoring and alarm mechanism effectively prevents fumigation failures or equipment damage caused by power supply issues, thereby reducing operational risks and maintenance costs. Furthermore, by rapidly responding to and handling power anomalies, fumigation interruptions can be minimized, improving overall equipment utilization. This intelligent maintenance and management approach not only improves the operating efficiency of the fumigation equipment but also lays the foundation for remote monitoring and intelligent operation and maintenance, facilitating its application on a larger scale and in more complex environments.

[0019] In a second aspect, an embodiment of the present application provides an intelligent power supply system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the intelligent power supply system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0020] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions. When the computer program product is run on an intelligent power supply system, the intelligent power supply system executes the method described in the first aspect and any possible implementation of the first aspect.

[0021] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on an intelligent power supply system, the intelligent power supply system executes the method described in the first aspect and any possible implementation of the first aspect.

[0022] It is understandable that the intelligent power supply system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the methods provided in the embodiments of this application. Therefore, the beneficial effects that can be achieved can be referenced to the beneficial effects of the corresponding methods and will not be repeated here.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] 1. By employing the above technical solution, the intelligent power supply system can determine the operating state and corresponding operating current of the fumigation device when completing a fumigation task. Then, combining multiple operating currents under multiple operating states, the system can predetermine the power consumption for the fumigation task. The intelligent power supply system then compares the power consumption of the fumigation device with the storage capacity of the power storage device, allowing it to determine in advance whether the power storage device has sufficient power to support the fumigation task. If the storage capacity of the power storage device is insufficient, it indicates that the fumigation device may not be able to complete the fumigation task. The intelligent power supply system can develop multiple power adjustment plans, simulate the corresponding temperature change curves for each power adjustment plan, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curve to determine their similarity, thereby selecting the optimal power supply plan. This method enables the fumigation device to complete the fumigation task even when the storage capacity of the power storage device is insufficient, and achieves the ideal fumigation effect as closely as possible. This improves the efficiency of power resource utilization and enhances the adaptability and reliability of the fumigation device in complex environments. Furthermore, this intelligent power supply management method can effectively avoid problems such as fumigation task interruptions or poor results caused by insufficient power, significantly improving the practical application and economic benefits of the fumigation device.

[0025] 2. By adopting the above-mentioned technical solution, the intelligent power supply system simulates and calculates the temperature change curves under different power adjustment schemes, achieving accurate prediction and control of the fumigation process. This simulation-based method allows the intelligent power supply system to evaluate the fumigation effect of the fumigation device under different power adjustment schemes before powering the fumigation device. This not only greatly reduces the trial and error costs in actual operation, but also improves the predictability and controllability of the fumigation process. By comparing the temperature change curves under different power adjustment schemes, the intelligent power supply system can select the power adjustment scheme that is closest to the preset temperature change curve, thereby achieving the best fumigation effect with limited power resources. This method significantly improves the operating efficiency of the fumigation device and also provides strong data support for the optimization of the fumigation process.

[0026] 3. By implementing the above technical solution, the intelligent power supply system significantly improves the operational safety and reliability of the fumigation equipment by monitoring the power supply status of the fumigation equipment in real time and promptly notifying the nearest maintenance personnel of any power anomalies. This proactive monitoring and alarm mechanism effectively prevents fumigation failures or equipment damage caused by power supply issues, thereby reducing operational risks and maintenance costs. Furthermore, by rapidly responding to and addressing power anomalies, fumigation interruptions can be minimized, improving overall equipment utilization. This intelligent maintenance and management approach not only improves the operating efficiency of the fumigation equipment but also lays the foundation for remote monitoring and intelligent operation and maintenance, facilitating the application of fumigation equipment on a larger scale and in more complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of an intelligent power supply method for a fumigation device in an embodiment of the present application;

[0028] Figure 2 This is another flow chart of the intelligent power supply method for a fumigation device according to an embodiment of the present application;

[0029] Figure 3 This is a schematic diagram of the physical device structure of the intelligent power supply system in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application, the singular expressions "a", "an", "above", "the", and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations of one or more of the listed items.

[0031] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0032] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the intelligent power supply method for the fumigation device in an embodiment of the present application.

[0033] S101, determining the power consumption of a fumigation device to complete a fumigation task based on a preset state-current correspondence, wherein the state-current correspondence includes the operating currents corresponding to the fumigation device under multiple operating states, and the fumigation task includes a preset temperature change curve of the fumigation device;

[0034] The state-current mapping relationship refers to the different operating currents corresponding to different operating states of a fumigation device. For example, a fumigation device may have the following operating states from start to finish: preheating state, working state, and standby state. The corresponding operating currents for the preheating state, working state, and standby state are different. Therefore, the operating current corresponding to the fumigation device in the preheating state can be obtained by querying the state-current mapping relationship.

[0035] The intelligent power supply system determines the power consumption required to complete the fumigation task based on a preset state-current relationship. This step forms the foundation of the entire intelligent power supply process. The intelligent power supply system calculates the power consumption required to complete the task based on the operating current of the fumigation device in different operating states and the corresponding operating hours for each operating state.

[0036] It should be noted that this preset state-current correspondence can be adjusted according to different types of fumigation tasks. For example, for fumigation of medical devices requiring high-temperature sterilization, different working states and corresponding working currents may be required, which are not limited here.

[0037] S102, comparing the amount of electricity stored in the electricity storage device with the electricity consumption to determine whether the fumigation device can complete the fumigation task;

[0038] The intelligent power supply system monitors the storage status of the power storage device in real time and compares it with the power consumption calculated in step S101. This comparison process is not just a simple numerical comparison; the intelligent power supply system also considers some additional factors. For example, the intelligent power supply system may reserve a certain safety margin to cope with possible power fluctuations or emergencies. In addition, the intelligent power supply system may also consider the performance characteristics of the power storage device, such as the battery discharge curve, to more accurately assess the actual available power.

[0039] S103: If not, determine a first power adjustment plan and a second power adjustment plan according to a preset power adjustment strategy;

[0040] The preset power adjustment strategy may include multiple options. The smart power supply system will determine the two most appropriate power adjustment options based on the specific situation. For example, the first power adjustment option may be to reduce the operating current of the low-power operating state (such as the second state) while maintaining the operating current of the high-power operating state (such as the first state). The second power adjustment option may be to reduce the operating current of all operating states to the lowest acceptable level. The formulation of these power adjustment options requires consideration of multiple factors, such as fumigation effectiveness, energy efficiency, and equipment lifespan. The smart power supply system may also refer to historical data and environmental factors when formulating these power adjustment options. For example, if historical data shows that a certain power adjustment option improves the fumigation effect of the fumigation device under specific circumstances, the smart power supply system may prioritize this power adjustment option.

[0041] It should be emphasized that these power adjustment plans are not fixed. The intelligent power supply system can continuously optimize and update these preset power adjustment strategies based on actual usage and new research results, thereby continuously improving its adaptability and efficiency.

[0042] Optionally, in general, if not, determining the first power adjustment plan and the second power adjustment plan according to the preset power adjustment strategy can be achieved in the following ways:

[0043] The working state includes at least a first state and a second state, the first state corresponds to a first current, the second state corresponds to a second current, and the second current is smaller than the first current;

[0044] The first power adjustment plan specifically includes: determining the first power consumption based on the first current and the first working time corresponding to the first state; determining the adjusted second current based on the power consumption, the first power consumption and the second working time corresponding to the second state; and determining the first working time and the first current corresponding to the first state and the second working time and the adjusted second current corresponding to the second state as the first power adjustment plan.

[0045] The second power adjustment plan specifically includes: determining the first power consumption based on the minimum operating current and the first operating time of the fumigation device in the first state; determining the adjusted second current according to the power consumption, the first power consumption and the second operating time corresponding to the second state; and determining the first operating time and the minimum operating current corresponding to the first state, the second operating time and the adjusted second current corresponding to the second state as the second power adjustment plan.

[0046] S104, determining a first temperature change curve and a second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme respectively;

[0047] After determining the first and second power adjustment scenarios, the intelligent power supply system determines the first and second temperature change curves for the fumigation device based on these two power adjustment scenarios. Using a built-in thermodynamic model, the intelligent power supply system combines the physical properties of the fumigation device (such as heat capacity and heat dissipation coefficient) with environmental factors (such as ambient temperature and humidity) to accurately simulate the temperature changes under each power adjustment scenario. For example, for the first power adjustment scenario, the intelligent power supply system may predict a temperature change curve similar to the ideal in the first state, but may experience slight temperature fluctuations in the second state. For the second power adjustment scenario, the intelligent power supply system may predict a slower temperature rise throughout the fumigation process, but with potentially smaller temperature fluctuations. This simulation not only considers the direct impact of current changes on temperature, but also factors such as thermal inertia and ambient temperature fluctuations.

[0048] It’s important to note that this simulation capability of the smart power supply system can be continuously optimized. By comparing historical simulation results with actual temperature changes, the smart power supply system can continuously adjust and improve its simulation algorithm, making temperature change predictions increasingly accurate.

[0049] Optionally, under normal circumstances, determining the first temperature change curve and the second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme, respectively, can be achieved in the following manner: based on the first power adjustment scheme, simulating and calculating the temperature change of the fumigation device throughout the fumigation process to obtain the first temperature change curve; based on the second power adjustment scheme, simulating and calculating the temperature change of the fumigation device throughout the fumigation process to obtain the second temperature change curve.

[0050] S105, respectively calculating similarities between the first temperature change curve and the second temperature change curve and the preset temperature change curve;

[0051] After obtaining the first and second temperature change curves, the intelligent power supply system calculates the similarity between these two temperature change curves and the preset temperature change curve. This step is crucial for the intelligent power supply system to evaluate the fumigation effects of different power adjustment schemes on the fumigation device. Similarity calculation may involve a variety of mathematical methods, such as Euclidean distance, cosine similarity, and dynamic time warping (DTW). The intelligent power supply system can combine these methods to ensure comprehensive and accurate evaluation. When calculating similarity, the intelligent power supply system considers not only the proximity of temperature values but also the consistency of temperature change trends. For example, even if the absolute temperature values of two temperature change curves differ, a higher similarity score may be obtained if their heating, holding, and cooling trends are highly consistent. Furthermore, the intelligent power supply system may assign different weights to temperature similarity under different operating conditions. For example, for certain fumigation tasks, temperature stability during the holding phase may be more important than the heating rate, so the similarity during the holding phase will be given a higher weight. This flexible similarity calculation method of the intelligent power supply system ensures that the most appropriate evaluation can be made based on the specific needs of different fumigation tasks.

[0052] S106: Determine the power adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan.

[0053] The final step in the intelligent power supply system's decision-making process is to identify the power adjustment plan corresponding to the most similar temperature curve as the optimal power supply plan. The intelligent power supply system then powers the fumigation device based on this optimal power supply plan, ensuring maximum fumigation effectiveness even in power shortages.

[0054] It's important to emphasize that the intelligent power supply system's decision-making process is dynamic. During the fumigation process, if actual conditions deviate from predicted conditions, the intelligent power supply system can adjust the power supply plan in real time. This dynamic adjustment capability significantly improves the reliability and efficiency of the fumigation process.

[0055] By employing the above technical solution, the intelligent power supply system can determine the operating state and corresponding operating current of the fumigation device when completing a fumigation task. It then combines multiple operating currents under multiple operating states to predetermine the power consumption for the fumigation task. The intelligent power supply system then compares the power consumption of the fumigation device with the storage capacity of the power storage device, allowing it to determine in advance whether the power storage device has sufficient power to support the fumigation task. If the storage capacity is insufficient, it indicates that the fumigation device may not be able to complete the fumigation task. The intelligent power supply system can develop multiple power adjustment plans, simulate the corresponding temperature change curves for each power adjustment plan, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curve to determine their similarity, thereby selecting the optimal power supply plan. This method enables the fumigation device to complete the fumigation task and achieve the ideal fumigation effect as closely as possible even when the storage capacity is insufficient, thereby improving the efficiency of power resource utilization and enhancing the adaptability and reliability of the fumigation device in complex environments. Furthermore, this intelligent power supply management method can effectively avoid problems such as fumigation task interruptions or poor results caused by insufficient power, significantly improving the practical application and economic benefits of the fumigation device.

[0056] After combining the above scenarios, the following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the intelligent power supply method for a fumigation device in an embodiment of the present application.

[0057] S201, determining the power consumption of a fumigation device to complete a fumigation task based on a preset state-current correspondence, wherein the state-current correspondence includes the corresponding operating currents of the fumigation device under multiple operating states, and the fumigation task includes a preset temperature change curve of the fumigation device;

[0058] For details, please refer to step S101, which will not be described again here.

[0059] S202, comparing the power storage in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task;

[0060] For details, please refer to step S102, which will not be described again here.

[0061] S203: If the fumigation device can complete the fumigation task, determine the actual temperature change curve during the fumigation process;

[0062] If the storage device has sufficient power, the fumigation device can complete the fumigation task according to its original operating state and current. During the fumigation task, the intelligent power supply system will monitor and record the actual temperature change curve, heating power, and heating current of the fumigation device in real time through the built-in sensor network.

[0063] For example, a smart power supply system might record temperature data every few seconds or minutes, forming a detailed time series. This data not only reflects the overall temperature trend during the fumigation process but also captures instantaneous fluctuations and changes. The smart power supply system might specifically focus on key time points, such as the start and end of the first state and temperature fluctuations during the second state. This rich data provides a solid foundation for subsequent analysis and optimization.

[0064] It should be noted that the data recording of the intelligent power supply system is continuous. Even after the fumigation task is completed, the cooling process will continue to be recorded for a period of time to obtain complete data.

[0065] S204, analyzing the cause of the deviation between the actual temperature change curve and the preset temperature change curve to optimize the temperature control accuracy of the subsequent fumigation process;

[0066] After recording the actual temperature profile, the intelligent power supply system compares it with the preset temperature profile and analyzes the causes of any deviations. First, the intelligent power supply system uses advanced data analysis algorithms, such as time series analysis and regression analysis, to accurately calculate the difference between the actual and preset temperature profiles. This comparison not only compares the overall curve shape but also breaks down the temperature differences at each point in time. For example, the intelligent power supply system may discover that the actual temperature rises more slowly than expected in the first state, or that the actual temperature fluctuates unexpectedly in the second state. After identifying these discrepancies, the intelligent power supply system further analyzes the possible causes of these discrepancies, known as the deviation factors. This may involve a comprehensive analysis of multiple factors, such as sudden changes in ambient temperature, fluctuations in power supply voltage, and performance variations in fumigation device components. The intelligent power supply system may utilize machine learning algorithms, such as decision trees or random forests, to identify the most likely causes of the deviation. Based on these causes of deviation, the intelligent power supply system can optimize the temperature control accuracy of subsequent fumigation processes.

[0067] S205: If the fumigation device cannot complete the fumigation task, determining a first power adjustment plan and a second power adjustment plan according to a preset power adjustment strategy;

[0068] For details, please refer to step S103, which will not be described again here.

[0069] S206: Determine a first temperature change curve and a second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme, respectively;

[0070] For details, please refer to step S104, which will not be described again here.

[0071] S207, respectively calculating similarities between the first temperature change curve and the second temperature change curve and the preset temperature change curve;

[0072] For details, please refer to step S105, which will not be described again here.

[0073] S208: Determine the power adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan;

[0074] For details, please refer to step S106, which will not be described in detail here.

[0075] S209, recording the ambient temperature and humidity before, during, and after the fumigation process;

[0076] The smart power supply system will begin recording the ambient temperature and humidity some time before the fumigation task officially begins (which may be a few minutes to a few hours, depending on the specific settings, and is not limited here). The records before the fumigation process begins are very important and provide baseline data for the entire fumigation process. The smart power supply system may record the ambient temperature and humidity at fixed intervals (such as every 5 minutes) or when significant changes are detected. For example, the smart power supply system may record: "30 minutes before the fumigation process began, the ambient temperature was 22°C and the ambient humidity was 45%." These initial ambient temperatures and humidity can help the smart power supply system predict the environmental changes that may be encountered during the fumigation process and adjust the fumigation parameters accordingly.

[0077] During the fumigation process, the intelligent power supply system continuously monitors and records the ambient temperature and humidity. The frequency of recording during fumigation is typically higher than before the start, potentially recording the ambient temperature and humidity every minute or even every second. The intelligent power supply system not only records absolute values but also calculates and records the rate of change. For example, the intelligent power supply system might record: "15 minutes after the start of fumigation, the ambient temperature rose to 28°C at a rate of 0.4°C / minute, and the ambient humidity dropped to 35% at a rate of 0.67% / minute." These real-time ambient temperatures and humidity values are crucial for the intelligent power supply system to adjust fumigation parameters. If the ambient temperature rises too quickly, the intelligent power supply system may reduce the heating power accordingly; if the ambient humidity drops too much, the intelligent power supply system may activate the humidifier.

[0078] After the fumigation process ends, the smart power supply system does not immediately stop recording. Instead, it continues to monitor and record ambient temperature and humidity for a period of time. This post-fumigation recording is valuable for understanding the ongoing impact of the fumigation process on the environment. For example, the smart power supply system might record, "One hour after the fumigation process ended, the ambient temperature gradually decreased to 24°C, and the ambient humidity returned to 40%." These ambient temperatures and humidity can help assess the residual heat effects of the fumigation process and the speed of environmental recovery, which is particularly important when multiple fumigation operations are carried out consecutively.

[0079] S210, storing the ambient temperature and humidity in a preset database;

[0080] The intelligent power supply system integrates the ambient temperature and humidity data from before, during, and after the fumigation process to form a complete time series of environmental parameters. This time series includes not only the specific values but also information such as timestamps, rates of change, and outlier markers. The intelligent power supply system stores this time series in a pre-set database for subsequent data analysis.

[0081] S211, monitoring the power supply status of the fumigation device;

[0082] The intelligent power supply system conducts comprehensive and continuous monitoring of the power supply status of the fumigation device, including at least the following main aspects: (1) voltage monitoring (2) current monitoring (3) power factor monitoring, which are not limited here.

[0083] By comprehensively and meticulously monitoring the power supply to the fumigation unit, the intelligent power supply system ensures a stable and reliable power supply to the unit, while promptly identifying and preventing potential power supply issues. This not only helps ensure the smooth running of the fumigation process but also improves the energy efficiency and safety of the entire intelligent power supply system.

[0084] S212: When it is detected that the power supply condition has a power supply anomaly, a power supply anomaly prompt message is sent to a nearby maintenance personnel, so that the nearby maintenance personnel can perform an inspection.

[0085] When it is determined in step S211 that the power supply condition of the fumigation device has a power supply anomaly, the intelligent power supply system establishes a communication connection with the nearest maintenance personnel, and sends a power supply anomaly prompt information to the nearest maintenance personnel, so that measures can be taken quickly, thereby greatly improving the operating safety and reliability of the fumigation device.

[0086] The following describes the intelligent power supply system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , is a schematic diagram of the structure of a physical device of the intelligent power supply system in an embodiment of the present application.

[0087] It should be noted that Figure 3 The structure of the intelligent power supply system shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0088] like Figure 3 As shown, the intelligent power supply system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes, such as the methods described in the above embodiments, based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage unit 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for system operation. CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0089] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, push button switches, and the like; an output section 307 including a liquid crystal display (LCD), an audio output device, indicator lights, and the like; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. Removable media 311, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 310 as needed, so that computer programs read from the removable media can be installed in the storage section 308 as needed.

[0090] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 309 and / or installed from removable media 311. When executed by the central processing unit (CPU) 301, the computer program performs the various functions defined in the present invention.

[0091] It should be noted that specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0092] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings.

[0093] Specifically, the intelligent power supply system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the intelligent power supply method for the fumigation device provided in the above embodiment is implemented.

[0094] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the intelligent power supply system described in the above embodiments, or may exist independently and not be incorporated into the intelligent power supply system. The storage medium carries one or more computer programs, which, when executed by a processor of the intelligent power supply system, enable the intelligent power supply system to implement the intelligent power supply method for a fumigation device provided in the above embodiments.

[0095] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0096] As used in the above embodiments, the term “when” may be interpreted to mean “if” or “after” or “in response to determining that” or “in response to detecting that”, depending on the context. Similarly, the phrases “upon determining that” or “if (stated condition or event) is detected” may be interpreted to mean “if determining that” or “in response to determining that” or “upon detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0097] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. An intelligent power supply method for a fumigation device, characterized in that: Applied to an intelligent power supply system, the method includes: Determining the power consumption of the fumigation device to complete a fumigation task according to a preset state-current correspondence relationship, wherein the state-current correspondence relationship includes the corresponding working currents of the fumigation device under multiple working states, and the fumigation task includes a preset temperature change curve of the fumigation device; Comparing the amount of electricity stored in the electricity storage device with the amount of electricity used to determine whether the fumigation device can complete the fumigation task; If not, determining a first power adjustment plan and a second power adjustment plan according to a preset power adjustment strategy, wherein the first power adjustment plan is used to adjust the working current of the fumigation device in some working states, and the second power adjustment plan is used to adjust the working current of the fumigation device in all working states; Determining a first temperature change curve and a second temperature change curve of the fumigation device based on the first power adjustment plan and the second power adjustment plan respectively; respectively calculating similarities between the first temperature change curve and the second temperature change curve and the preset temperature change curve; The power adjustment plan corresponding to the temperature change curve with the highest similarity is determined as the optimal power supply plan.

2. The method according to claim 1, characterized in that The working state includes at least a first state and a second state, the first state corresponds to a first current, the second state corresponds to a second current, and the second current is smaller than the first current; The first electricity adjustment plan specifically includes: determining a first power consumption according to a first current and a first working duration corresponding to the first state; determining an adjusted second current according to the power consumption, the first power consumption, and a second working time corresponding to the second state; The first working duration and first current corresponding to the first state and the second working duration and adjusted second current corresponding to the second state are determined as the first power adjustment scheme.

3. The method according to claim 2, characterized in that The second electricity adjustment plan specifically includes: determining a first power consumption based on a minimum operating current and a first operating duration of the fumigation device in a first state; determining an adjusted second current according to the power consumption, the first power consumption, and a second working time corresponding to the second state; The first working duration and the minimum working current corresponding to the first state and the second working duration and the adjusted second current corresponding to the second state are determined as the second power adjustment scheme.

4. The method according to claim 3, characterized in that The determining of the first temperature change curve and the second temperature change curve of the fumigation device based on the first power adjustment scheme and the second power adjustment scheme respectively specifically includes: Based on the first power adjustment plan, simulating and calculating the temperature change of the fumigation device during the entire fumigation process to obtain the first temperature change curve; Based on the second power adjustment plan, the temperature change of the fumigation device during the entire fumigation process is simulated and calculated to obtain the second temperature change curve.

5. The method according to claim 1, wherein After the step of comparing the amount of electricity stored in the electricity storage device with the amount of electricity used to determine whether the fumigation device can complete the fumigation task, the method further includes: If the fumigation device can complete the fumigation task, determining an actual temperature change curve during the fumigation process; The cause of the deviation between the actual temperature change curve and the preset temperature change curve is analyzed to optimize the temperature control accuracy of the subsequent fumigation process.

6. The method according to claim 1, characterized in that After the step of determining the power adjustment scheme corresponding to the temperature change curve with the highest similarity as the optimal power supply scheme, the method further includes: Record the ambient temperature and humidity before, during and after the fumigation process; The ambient temperature and ambient humidity are stored in a preset database.

7. The method according to claim 1, characterized in that The method further comprises: monitoring the power supply status of the fumigation device; When it is detected that the power supply condition has a power supply anomaly, a power supply anomaly prompt message is sent to a nearby maintenance personnel so that the nearby maintenance personnel can perform a detection.

8. An intelligent power supply system, characterized in that: The smart power supply system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the smart power supply system to perform the method according to any one of claims 1 to 7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the intelligent power supply system, the intelligent power supply system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on an intelligent power supply system, the intelligent power supply system is enabled to perform the method according to any one of claims 1 to 7.

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