Intelligent power supply method and system for fumigation device, medium and product

Abstract

The invention discloses an intelligent power supply method and system for a fumigation device, a medium and a product, and relates to the technical field of power supply, and the method comprises the steps: determining the power consumption of the fumigation device for completing a fumigation task according to a preset state-current corresponding relation; the electricity storage quantity in the electricity storage device is compared with the electricity consumption, and whether the fumigation device can complete the fumigation task or not is determined; if not, determining a first power utilization adjustment scheme and a second power utilization adjustment scheme according to a preset power utilization adjustment strategy; respectively determining a first temperature change curve and a second temperature change curve of the fumigation device based on the first power utilization adjustment scheme and the second power utilization adjustment scheme; the similarity between the first temperature change curve and a preset temperature change curve and the similarity between the second temperature change curve and the preset temperature change curve are calculated; and determining the power utilization adjustment scheme corresponding to the temperature change curve with the highest similarity as the optimal power supply scheme. By implementing the method, intelligent power supply management can be provided, and the fumigation effect can be guaranteed to the greatest extent under the condition of insufficient power.

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 the development of social economy and the improvement of people's living standards, environmental sanitation issues have received increasing attention. Fumigation, as an efficient means of sterilization and pest control, is widely used in medical, agricultural and food processing fields. Fumigation devices usually require stable power supply during operation to ensure the fumigation effect and the safety of device operation.

[0003] Existing fumigation devices usually use traditional power supply systems, which directly supply power through the power grid to meet the power demand during the fumigation process. However, these power supply systems usually rely on fixed current and preset working states to control the operation of the fumigation device, lacking intelligent power supply management, resulting in the fumigation device being unable to adjust its working state in time when there is insufficient power, resulting in the fumigation task not being completed smoothly or the fumigation effect being poor. 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 case of insufficient power.

[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, and the method includes: 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 includes the working currents corresponding to the fumigation device under multiple working states, and the fumigation task includes 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; calculating the similarity of the first temperature change curve and the second temperature change curve with the preset temperature change curve; determining the power adjustment scheme corresponding to the temperature change curve with the highest similarity as the optimal power supply scheme.

[0006] By adopting the above technical solution, the intelligent power supply system can determine the working state and corresponding working current of the fumigation device when completing the fumigation task, and then combine multiple working currents under multiple working states to predetermine the power consumption of the fumigation task. Then, the intelligent power supply system compares the power consumption of the fumigation device with the storage capacity of the power storage device, and can judge in advance whether the power storage device has enough power to support the fumigation device to complete the fumigation task. If the storage capacity of the power storage device is insufficient, it means that the fumigation device may not be able to complete the fumigation task this time. The intelligent power supply system can formulate multiple power adjustment plans, simulate the temperature change curves corresponding to the multiple power adjustment plans, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curves for similarity, so as to select the best power supply plan. This method can enable the fumigation device to complete the fumigation task under the condition that the storage capacity of the power storage device is insufficient, and it is close to the ideal fumigation effect to the greatest extent, improves the efficiency of power resource utilization, and enhances the adaptability and reliability of the fumigation device in complex environments. At the same time, this intelligent power supply management method can effectively avoid problems such as interruption of fumigation tasks or poor effects caused by insufficient power, and significantly improve the actual application effect 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 according to the first current and the first working time corresponding to 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; determining the first working time and the first current corresponding to the first state, 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 keeps 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 working 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; determining the first working time and the minimum working 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 the use of electricity compared to the first power adjustment solution by reducing the first current in the first state to the minimum working current. This solution explores more extreme power saving possibilities on the basis of the first power adjustment solution, and provides a solution for situations where power is extremely limited. In this way, even in the case of severe power shortage, the fumigation device may still be able to complete basic fumigation tasks, which not only improves the robustness and reliability of the intelligent power supply system, but also expands its scope of application, enabling it to work normally under various harsh power supply conditions. At the same time, this solution also provides users with more options, enabling them to make a better balance between fumigation effect and power consumption according to actual conditions and needs.

[0011] In combination with some embodiments of the first aspect, in some embodiments, the first temperature change curve and the second temperature change curve of the fumigation device are determined based on the first power adjustment scheme and the second power adjustment scheme, respectively, specifically including: based on the first power adjustment scheme, 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 scheme, simulating and calculating the temperature change of the fumigation device during the entire 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, and realizes the 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 supplying power to the fumigation device, which not only greatly reduces the trial and error cost 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 also includes: if the fumigation device can complete the fumigation task, determining the actual temperature change curve during the fumigation process; 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 adopting the above technical solution, if the storage capacity of the power storage device is sufficient, it means that the fumigation device can complete the fumigation task according to the original working state and working 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, thereby realizing real-time monitoring and subsequent optimization of the fumigation process. By analyzing the reasons for the deviation between the actual temperature change curve and the preset temperature change curve, the preset temperature change curve in the fumigation task can be continuously learned and optimized, so as to determine more accurate temperature changes in 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 basis for the continuous improvement of the fumigation process, which helps to improve the consistency and reliability of the fumigation effect, thereby improving 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 adopting the above technical solutions, the intelligent power supply system records and stores the ambient temperature and humidity before, during and after the fumigation process, and establishes a comprehensive preset database of environmental parameters. These environmental parameters can not only be used to analyze the impact of environmental factors on the fumigation effect, but also to optimize future fumigation tasks.

[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 a nearby maintenance personnel, so that the nearby maintenance personnel conducts detection.

[0018] By adopting the above technical solutions, the intelligent power supply system monitors the power supply status of the fumigation device in real time and promptly notifies the nearest maintenance personnel when power supply anomalies occur, greatly improving the operational safety and reliability of the fumigation device. This active monitoring and alarm mechanism can effectively prevent fumigation failures or equipment damage caused by power supply problems, thereby reducing operational risks and maintenance costs. At the same time, by quickly responding to and handling power supply anomalies, the interruption time of fumigation tasks can be minimized and the overall utilization rate of equipment can be improved. This intelligent maintenance and management method not only improves the working efficiency of the fumigation device, but also lays the foundation for remote monitoring and intelligent operation and maintenance, which is conducive to the application of fumigation devices in larger scales and 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 above-mentioned computer program product runs on an intelligent power supply system, the above-mentioned intelligent power supply system executes the method described in the first aspect and any possible implementation method 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 manner of the first aspect.

[0022] It can be understood 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 method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution, the intelligent power supply system can determine the working state and corresponding working current of the fumigation device when completing the fumigation task, and then combine multiple working currents under multiple working states to predetermine the power consumption of the fumigation task. Then, the intelligent power supply system compares the power consumption of the fumigation device with the power storage device, and can judge in advance whether the power storage device has sufficient power to support the fumigation device to complete the fumigation task. If the power storage device is insufficient, it means that the fumigation device may not be able to complete the fumigation task this time. The intelligent power supply system can formulate multiple power adjustment plans, simulate the temperature change curves corresponding to the multiple power adjustment plans, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curves for similarity, so as to select the best power supply plan. This method can enable the fumigation device to complete the fumigation task under the condition that the power storage device has insufficient power storage, and is as close to the ideal fumigation effect as possible, thereby improving the efficiency of power resource utilization and enhancing the adaptability and reliability of the fumigation device in complex environments. At the same time, this intelligent power supply management method can effectively avoid problems such as interruption of fumigation tasks or poor results due to insufficient power, and significantly improve the actual application effect and economic benefits of the fumigation device.

[0024] 2. By adopting the above technical solution, the intelligent power supply system simulates and calculates the temperature change curves under different power adjustment schemes, and realizes the 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 supplying power to the fumigation device, which not only greatly reduces the trial and error cost 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.

[0025] 3. By adopting the above technical solutions, the intelligent power supply system monitors the power supply status of the fumigation device in real time and promptly notifies the nearest maintenance personnel when power supply anomalies occur, greatly improving the operational safety and reliability of the fumigation device. This active monitoring and alarm mechanism can effectively prevent fumigation failures or equipment damage caused by power supply problems, thereby reducing operational risks and maintenance costs. At the same time, by quickly responding to and handling power supply anomalies, the interruption time of fumigation tasks can be minimized and the overall utilization rate of equipment can be improved. This intelligent maintenance and management method not only improves the working efficiency of the fumigation device, but also lays the foundation for remote monitoring and intelligent operation and maintenance, which is conducive to the application of fumigation devices in larger scales and more complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of an intelligent power supply method for a fumigation device in an embodiment of the present application; Figure 2 is another flow chart of the intelligent power supply method for a fumigation device in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of the intelligent power supply system in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0028] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0029] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of an intelligent power supply method for a fumigation device in an embodiment of the present application.

[0030] S101, 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 working currents corresponding to the fumigation device under multiple working states, and the fumigation task includes a preset temperature change curve of the fumigation device; The state-current correspondence refers to the different working currents corresponding to different working states of the fumigation device. For example, the fumigation device may have the following working states from the beginning to the end of work: preheating state-working state-standby state. The working currents corresponding to the preheating state, working state, and standby state are different. Therefore, the working current corresponding to the preheating state of the fumigation device can be obtained through the state-current correspondence.

[0031] The intelligent power supply system determines the power consumption of the fumigation device to complete the fumigation task based on the preset state-current correspondence. This step is the basis of the entire intelligent power supply process. The intelligent power supply system will calculate the power consumption required for the fumigation device to complete the entire fumigation task based on the working current of the fumigation device in different working states and the working time corresponding to each working state.

[0032] 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.

[0033] S102, comparing the power storage in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task; The intelligent power supply system monitors the power 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 will also consider 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 discharge curve of the battery, to more accurately evaluate the actual available power.

[0034] S103: If not, determine a first power adjustment plan and a second power adjustment plan according to a preset power adjustment strategy; The preset power adjustment strategy may include multiple options, and the intelligent power supply system will determine the two most suitable power adjustment options based on the specific situation. For example, the first power adjustment plan may be to reduce the working current of the low power consumption working state (such as the second state) while keeping the working current of the high power consumption working state (such as the first state) unchanged; and the second power adjustment plan may be to reduce the working current of all working states to the lowest acceptable level. The formulation of these power adjustment plans needs to consider multiple factors, such as fumigation effect, energy efficiency, equipment life, etc. When formulating these power adjustment plans, the intelligent power supply system may also refer to historical data and environmental factors. For example, if historical data shows that a certain power adjustment plan makes the fumigation effect of the fumigation device better under a specific environment, the intelligent power supply system may give priority to this power adjustment plan.

[0035] It should be emphasized that these electricity adjustment plans are not fixed. The intelligent power supply system can continuously optimize and update these preset electricity adjustment strategies based on actual usage and new research results, thereby continuously improving its adaptability and efficiency.

[0036] Optionally, in general, if not, determining the first power adjustment scheme and the second power adjustment scheme according to the preset power adjustment strategy can be implemented in the following ways: 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 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, the second working time and the adjusted second current corresponding to the second state as the first power adjustment plan.

[0037] The second power adjustment plan specifically includes: determining the first power consumption based on the minimum working 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 working current corresponding to the first state, the second working time and the adjusted second current corresponding to the second state as the second power adjustment plan.

[0038] 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; After determining the first power adjustment scheme and the second power adjustment scheme, the intelligent power supply system will determine the first temperature change curve and the second temperature change curve of the fumigation device based on the two power adjustment schemes. The intelligent power supply system uses the built-in thermodynamic model, combined with the physical properties of the fumigation device (such as heat capacity, heat dissipation coefficient, etc.) and environmental factors (such as ambient temperature, ambient humidity, etc.) to accurately simulate the temperature change under each power adjustment scheme. For example, for the first power adjustment scheme, the intelligent power supply system may predict that the temperature change curve in the first state is similar to the ideal situation, but there may be slight temperature fluctuations in the second state. For the second power adjustment scheme, the intelligent power supply system may predict that the temperature rise rate of the entire fumigation process will be slower, but the temperature fluctuation may be smaller. This simulation not only takes into account the direct impact of current changes on temperature, but also takes into account the indirect impact of factors such as thermal inertia and ambient temperature changes.

[0039] It is 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 the prediction of temperature changes more and more accurate.

[0040] Optionally, in general, 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 during the entire 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 during the entire fumigation process to obtain the second temperature change curve.

[0041] S105, respectively calculating the similarity between the first temperature change curve and the second temperature change curve and the preset temperature change curve; After obtaining the first temperature change curve and the second temperature change curve, the intelligent power supply system will respectively calculate the similarity between the two temperature change curves and the preset temperature change curve. This step is the key for the intelligent power supply system to evaluate the fumigation effect of different power adjustment schemes on the fumigation device. The calculation of similarity may involve a variety of mathematical methods, such as Euclidean distance, cosine similarity, dynamic time warping (DTW), etc. The intelligent power supply system can use a variety of methods in combination to ensure the comprehensiveness and accuracy of the evaluation. When calculating the similarity, the intelligent power supply system will not only consider the proximity of the temperature values, but also the consistency of the temperature change trend. For example, even if the absolute temperature values ​​of the two temperature change curves are different, if their heating, insulation, and cooling trends are very consistent, they may also get a higher similarity score. In addition, the intelligent power supply system may assign different weights to the temperature similarity under different working conditions. For example, for some special fumigation tasks, the temperature stability in the insulation stage may be more important than the heating rate, so the similarity in the insulation stage will be assigned a higher weight. This flexible similarity calculation method of the intelligent power supply system ensures that the most appropriate evaluation can be made according to the special needs of different fumigation tasks.

[0042] S106: Determine the power consumption adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan.

[0043] Determining the power adjustment plan corresponding to the temperature change curve with the highest similarity as the optimal power supply plan is the final step in the decision-making process of the intelligent power supply system. The intelligent power supply system can supply power to the fumigation device according to the optimal power supply plan, thereby ensuring the fumigation effect to the greatest extent when there is insufficient power.

[0044] It should be emphasized that the decision-making process of the intelligent power supply system is dynamic. During the fumigation process, if the actual situation deviates from the prediction, the intelligent power supply system can adjust the power supply plan in real time. This dynamic adjustment capability greatly improves the reliability and efficiency of the fumigation process.

[0045] By adopting the above technical solution, the intelligent power supply system can determine the working state and corresponding working current of the fumigation device when completing the fumigation task, and then combine multiple working currents under multiple working states to predetermine the power consumption of the fumigation task. Then, the intelligent power supply system compares the power consumption of the fumigation device with the storage capacity of the power storage device, and can judge in advance whether the power storage device has enough power to support the fumigation device to complete the fumigation task. If the storage capacity of the power storage device is insufficient, it means that the fumigation device may not be able to complete the fumigation task this time. The intelligent power supply system can formulate multiple power adjustment plans, simulate the temperature change curves corresponding to the multiple power adjustment plans, and then compare the temperature change curves corresponding to the multiple power adjustment plans with the preset temperature change curves for similarity, so as to select the best power supply plan. This method can enable the fumigation device to complete the fumigation task under the condition that the storage capacity of the power storage device is insufficient, and it is close to the ideal fumigation effect to the greatest extent, improves the efficiency of power resource utilization, and enhances the adaptability and reliability of the fumigation device in complex environments. At the same time, this intelligent power supply management method can effectively avoid problems such as interruption of fumigation tasks or poor effects caused by insufficient power, and significantly improve the actual application effect and economic benefits of the fumigation device.

[0046] 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 the fumigation device in an embodiment of the present application.

[0047] S201, 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 working currents corresponding to the fumigation device under multiple working states, and the fumigation task includes a preset temperature change curve of the fumigation device; For details, please refer to step S101, which will not be described in detail here.

[0048] S202, comparing the amount of power stored in the power storage device with the power consumption to determine whether the fumigation device can complete the fumigation task; For details, please refer to step S102, which will not be described in detail here.

[0049] S203, if the fumigation device can complete the fumigation task, determining the actual temperature change curve during the fumigation process; If the storage capacity of the power storage device is sufficient, it means that the fumigation device can complete the fumigation task according to the original working state and working 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.

[0050] For example, the intelligent power supply system may record temperature data every few seconds or minutes to form a detailed time series. These data not only reflect the overall trend of temperature during the fumigation process, but also capture instantaneous fluctuations and changes. The intelligent power supply system may pay special attention to some key time points, such as the beginning and end of the first state, temperature fluctuations in the second state, etc. These rich data provide a solid foundation for subsequent analysis and optimization.

[0051] 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.

[0052] 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; After recording the actual temperature change curve, the intelligent power supply system will compare the actual temperature change curve with the preset temperature change curve, and analyze the deviation reasons between the actual temperature change curve and the preset temperature change curve. First, the intelligent power supply system will use advanced data analysis algorithms, such as time series analysis, regression analysis, etc., to accurately calculate the difference between the actual temperature change curve and the preset temperature change curve. This comparison not only includes the comparison of the overall curve shape, but also refines the temperature difference at each time point. For example, the intelligent power supply system may find that in the first state, the actual temperature rises slower than expected; or in the second state, the actual temperature fluctuates unexpectedly. After identifying these differences, the intelligent power supply system will further analyze the possible causes of these differences, that is, the deviation reasons. This may involve a comprehensive analysis of multiple factors, such as sudden changes in ambient temperature, fluctuations in power supply voltage, performance changes of fumigation device components, etc. The intelligent power supply system may use machine learning algorithms, such as decision trees or random forests, to identify the most likely causes of deviation, so as to optimize the temperature control accuracy of the subsequent fumigation process based on the deviation reasons between the actual temperature change curve and the preset temperature change curve.

[0053] S205: If the fumigation device cannot complete the fumigation task, determine a first power adjustment plan and a second power adjustment plan according to a preset power adjustment strategy; For details, please refer to step S103, which will not be described in detail here.

[0054] S206, 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; For details, please refer to step S104, which will not be described in detail here.

[0055] S207, respectively calculating the similarity between the first temperature change curve and the second temperature change curve and the preset temperature change curve; For details, please refer to step S105, which will not be described in detail here.

[0056] S208, determining the power adjustment scheme corresponding to the temperature change curve with the highest similarity as the optimal power supply scheme; For details, please refer to step S106, which will not be described in detail here.

[0057] S209, recording the ambient temperature and humidity before, during and after the fumigation process; The intelligent power supply system will start recording the ambient temperature and humidity for a period of time before the fumigation task officially starts (it may be a few minutes to a few hours, depending on the specific settings, and is not limited here). The records before the start of the fumigation process are very important and provide baseline data for the entire fumigation process. The intelligent 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 intelligent power supply system may record: "30 minutes before the start of the fumigation process, the ambient temperature is 22°C and the ambient humidity is 45%." These initial ambient temperatures and ambient humidity can help the intelligent power supply system predict environmental changes that may be encountered during the fumigation process and adjust the fumigation parameters accordingly.

[0058] During the fumigation process, the intelligent power supply system will continuously monitor and record the ambient temperature and humidity. The recording frequency during the fumigation process is usually higher than before the start, and the ambient temperature and humidity may be recorded every minute or even every second. The intelligent power supply system not only records the absolute value, but also calculates and records the rate of change. For example, the intelligent power supply system may record: "15 minutes after the start of fumigation, the ambient temperature rose to 28°C, the heating rate was 0.4°C / minute, and the ambient humidity dropped to 35%, the decrease rate was 0.67% / minute". These real-time ambient temperatures and ambient humidity are crucial for the intelligent power supply system to adjust the 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 start the humidifier.

[0059] After the fumigation process is over, the intelligent power supply system does not stop recording immediately. Instead, it continues to monitor and record the ambient temperature and humidity for a period of time. The records after the fumigation process is completed are valuable for understanding the continuous impact of the fumigation process on the environment. For example, the intelligent power supply system may record: "One hour after the end of fumigation, the ambient temperature gradually decreased to 24°C and the ambient humidity returned to 40%." These ambient temperatures and ambient humidity can help evaluate the residual heat effect and environmental recovery speed of the fumigation process, which is particularly important for the situation where multiple fumigation tasks are carried out continuously.

[0060] S210, storing the ambient temperature and ambient humidity in a preset database; The intelligent power supply system will integrate the ambient temperature and humidity of the three stages before the fumigation process, during the fumigation process, and after the fumigation process to form a complete environmental parameter time series. This environmental parameter time series not only contains specific values, but also includes information such as timestamps, change rates, and abnormal point marks. The intelligent power supply system stores this environmental parameter time series in a preset database for subsequent data analysis.

[0061] S211, monitoring the power supply status of the fumigation device; 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.

[0062] By comprehensively and in detail monitoring the power supply status of the fumigation device, the intelligent power supply system can ensure that the fumigation device has a stable and reliable power supply, and detect and prevent possible power supply problems in a timely manner. This not only helps to ensure the smooth progress of the fumigation process, but also improves the energy efficiency and safety of the entire intelligent power supply system.

[0063] S212: When it is detected that the power supply condition is abnormal, a power supply abnormality prompt message is sent to a nearby maintenance personnel, so that the nearby maintenance personnel can perform a detection.

[0064] When it is determined through step S211 that the power supply condition of the fumigation device has a power supply abnormality, the intelligent power supply system establishes a communication connection with the nearest maintenance personnel, and sends a power supply abnormality 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.

[0065] The following describes the intelligent power supply system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of a physical device structure of the intelligent power supply system in an embodiment of the present application.

[0066] It should be noted that Figure 3 The structure of the intelligent power supply system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0067] 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 according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0068] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. 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. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0069] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0070] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a 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 may be used by or in combination with an instruction execution system, apparatus, or device.

[0071] 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 may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a 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 may also occur in an order different from that marked in the accompanying drawings.

[0072] 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.

[0073] 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 embodiment; or may exist independently without being assembled into the intelligent power supply system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the intelligent power supply system, the intelligent power supply system implements the intelligent power supply method for fumigation device provided in the above embodiment.

[0074] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned 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.

[0075] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0076] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. An intelligent power supply method for a fumigation device, characterized in that: Applied to an intelligent power supply system, the method comprises: Determine the power consumption of the fumigation device to complete the fumigation task according to a preset state-current correspondence relationship, wherein the state-current correspondence relationship includes the working currents corresponding to 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 scheme and a second power adjustment scheme according to a preset power adjustment strategy, wherein the first power adjustment scheme is used to adjust the working current of the fumigation device in some working states, and the second power adjustment scheme is used to adjust the working current of the fumigation device in all working states; 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; respectively calculating the similarity between the first temperature change curve and the second temperature change curve and the preset temperature change curve; The power adjustment scheme corresponding to the temperature change curve with the highest similarity is determined as the optimal power supply scheme.

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: Determine 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 the first 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 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 electricity adjustment scheme, the temperature change of the fumigation device during the entire fumigation process is simulated and calculated to obtain the first temperature change curve; Based on the second electricity adjustment scheme, 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, characterized in that: 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, then determine the 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 abnormality, a power supply abnormality 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 execute the method described in any one of claims 1-7.

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 enabled 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 runs on an intelligent power supply system, the intelligent power supply system is enabled to execute the method according to any one of claims 1 to 7.

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