A remote control method, device, and equipment for a safe, energy-saving, and environmentally friendly intelligent terminal.

Abstract

This invention relates to the field of intelligent control technology, specifically to a remote control method, device, and equipment for a safe, energy-saving, and environmentally friendly intelligent terminal. The method includes: acquiring historical power, rated power, actual power, and actual temperature data for parallel branches during historical and current periods; analyzing the load anomalies in parallel branches based on the differences between historical, rated, and actual power data to screen and identify abnormal and balanced branches; obtaining a load balancing auxiliary index based on the differences in actual power and actual temperature data between balanced branches and historical periods, combined with the load anomalies and power adjustment levels of balanced branches during the current period; and performing load balancing control on the parallel branches based on the actual power, power adjustment levels, and load balancing auxiliary index of all abnormal branches during the current period. This invention improves load balancing efficiency and ensures electrical safety.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to a remote control method, device, and equipment for a safe, energy-saving, and environmentally friendly intelligent terminal. Background Technology

[0002] Intelligent safety energy-saving devices, as equipment integrating safety monitoring and energy-saving control functions, play a crucial role in power consumption monitoring and management. They achieve the goals of energy saving, ensuring power safety, and reducing electricity costs by optimizing power usage patterns. With the rapid development of Internet of Things (IoT) technology, intelligent terminals that remotely control multiple intelligent safety energy-saving devices using distributed control technology have emerged. The advent of these intelligent terminals has greatly improved the safety and intelligence of power systems, significantly enhancing their energy efficiency management capabilities and operational flexibility.

[0003] Currently, existing remote control methods for smart terminals mainly rely on various sensors deployed in different rooms to collect real-time data on the power usage and environmental information of various devices within the rooms. Once an abnormal circuit load or unexpected situation is detected, the smart terminal will respond quickly, controlling the operating mode of the devices in the room, thereby achieving equipment protection and energy control.

[0004] However, numerous challenges exist in practical applications. On the one hand, the functions and operational needs of equipment in different rooms vary greatly; for example, high-power appliances such as air conditioners and refrigerators have drastically different power consumption characteristics compared to lighting fixtures and small appliances. On the other hand, residents' usage habits also differ; some users are accustomed to turning on multiple appliances simultaneously, while others prefer to use them at different times. These factors lead to numerous limitations in load balancing operations during periods of abnormal load, making it difficult to improve load balancing efficiency. Summary of the Invention

[0005] To address the technical problem that existing control methods struggle to improve load balancing efficiency, the present invention aims to provide a safe, energy-efficient, and environmentally friendly remote control method, device, and equipment for intelligent terminals. The specific technical solution adopted is as follows:

[0006] In a first aspect, the present invention provides a remote control method for a safe, energy-saving, and environmentally friendly smart terminal, comprising:

[0007] Acquire the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current time periods;

[0008] Based on the differences between the historical power, rated power and actual power of each parallel branch, the load anomalies of each parallel branch are analyzed to screen the parallel branches and determine the abnormal branches and the balanced branches.

[0009] Based on the difference in actual power between the current time period and the historical time period for each balanced branch, the difference in actual temperature data between the current time and the historical time period, and combined with the load anomaly and power adjustment degree of each balanced branch in the current time period, the load balancing auxiliary index of each balanced branch is obtained.

[0010] Based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index, the load on the parallel branches is balanced.

[0011] Preferably, the step of analyzing the load anomalies of each parallel branch based on the differences between the historical power, rated power, and actual power corresponding to each parallel branch, and screening the parallel branches to determine the abnormal branches and balanced branches, specifically includes:

[0012] For any parallel branch in the current time period, the historical power deviation of the parallel branch is determined based on the difference between the historical power and the rated power of the parallel branch; the first actual deviation of the parallel branch is determined based on the difference between the actual power and the historical power of the parallel branch; and the second actual deviation of the parallel branch is determined based on the difference between the actual power and the rated power of the parallel branch.

[0013] Based on the historical power deviation values ​​of the parallel branches, and combined with the first and second actual deviations, the load anomaly evaluation of the parallel branches is obtained.

[0014] Parallel branches whose load anomaly evaluation is greater than the preset anomaly threshold are designated as abnormal branches, while parallel branches whose load anomaly evaluation is less than or equal to the preset anomaly threshold are designated as balanced branches.

[0015] Preferably, the step of obtaining the load anomaly evaluation of the parallel branch based on the historical power deviation of the parallel branch, combined with the first actual deviation and the second actual deviation, specifically includes:

[0016] When the normalized value of the historical power deviation of the parallel branch is less than the preset deviation threshold, the load anomaly evaluation of the parallel branch is determined based on the second actual deviation of the parallel branch.

[0017] When the normalized value of the historical power deviation of the parallel branch is greater than or equal to the preset deviation threshold, the first weight corresponding to the first actual deviation and the second weight corresponding to the second actual deviation are determined based on the historical power deviation of the parallel branch. The first weight is positively correlated with the historical power deviation, and the second weight is negatively correlated with the historical power deviation.

[0018] Using the first weight and the second weight, the first actual deviation and the second actual deviation are weighted and summed respectively to obtain the load anomaly evaluation of the parallel branch; the value of the load anomaly evaluation is a normalized value.

[0019] Preferably, the step of obtaining the load balancing auxiliary index for each balancing branch based on the difference in actual power between the current time period and historical time periods, the difference in actual temperature data between the current time and historical time periods, and combining the load anomaly situation and power adjustment degree of each balancing branch in the current time period, specifically includes:

[0020] For any balanced branch, the correlation between the power and temperature changes of the balanced branch is obtained based on the difference in actual power between the current time period and each historical time period, and the difference in actual temperature data between the current time and each historical time period.

[0021] In the current time period, based on the differences between the actual power of the balancing branch and the maximum and minimum power, the differences between the actual power of the current time period and the historical power of the next adjacent time period, and in combination with the load anomaly evaluation and change correlation, the actual adjustment range of the balancing branch is obtained.

[0022] Based on the ratio of the actual adjustment range to the initial adjustment range of the balancing branch in the current period, the load balancing auxiliary index of the balancing branch in the current period is obtained.

[0023] Preferably, the step of obtaining the correlation between the power and temperature changes of the balanced branch based on the difference in actual power between the current time period and each historical time period, and the difference in actual temperature data between the current time and each historical time period, specifically includes:

[0024] For any balanced branch, filter each historical time period that is on the same day as the current time period;

[0025] Based on the difference in actual power of the balanced branch between the current time period and each historical time period, the actual power difference corresponding to each historical time period is determined; based on the difference in actual temperature data of the balanced branch between the current time period and each historical time period, the actual temperature difference corresponding to each historical time period is determined.

[0026] Based on the Pearson correlation coefficient between the actual power difference and the actual temperature difference, the correlation between the power and temperature changes of the balanced branch is determined.

[0027] Preferably, the step of obtaining the actual adjustment range of the balancing branch based on the differences between the actual power of the balancing branch and the maximum and minimum power, the differences between the actual power of the current time period and the historical power of the next adjacent time period, and in conjunction with the load anomaly evaluation and change correlation, specifically includes:

[0028] For any balanced branch, the upper limit of the initial adjustment range is determined based on the difference between the maximum actual power of the balanced branch and the actual power in the current time period; the lower limit of the initial adjustment range is determined based on the difference between the actual power of the balanced branch and the minimum actual power in the current time period.

[0029] The difference between the actual power of the balancing branch in the current time period and the historical power in the next adjacent time period is used as the expected adjustment range of the balancing branch in the current time period;

[0030] The negative correlation coefficient between the load anomaly evaluation and the change correlation of the balanced branch in the current time period is used as the adjustment coefficient. Using the adjustment coefficient, the sum of the upper limit of the initial adjustment range and the expected adjustment magnitude is adjusted to obtain the upper limit of the actual adjustment range. The difference between the lower limit of the initial adjustment range and the expected adjustment magnitude is adjusted to obtain the lower limit of the actual adjustment range. The lower limit and the upper limit constitute the actual adjustment range of the balanced branch.

[0031] Preferably, the step of obtaining the load balancing auxiliary index of the balancing branch in the current time period based on the ratio of the actual adjustment range of the balancing branch to the initial adjustment range in the current time period specifically includes:

[0032] Calculate the first difference between the upper and lower limits of the actual adjustment range, and calculate the second difference between the upper and lower limits of the initial adjustment range. Use the ratio of the first difference to the second difference as the load balancing auxiliary index of the balancing branch in the current period.

[0033] Preferably, the step of balancing the load on the parallel branches based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index specifically includes:

[0034] The ratio of the sum of the actual power of all abnormal branches in the current time period to the number of balanced branches is used as the degree of adjustment to be determined.

[0035] According to the load balancing auxiliary index in descending order, each balancing branch is judged in turn. If the degree to be adjusted is within the actual adjustment range of the balancing branch, the load of the balancing branch is balanced based on the degree to be adjusted and the actual current of the corresponding balancing branch.

[0036] All balanced branches whose adjustment level is not within the actual adjustment range of the balanced branch are selected as candidate branches. The historical maximum power of each candidate branch in the current time period is taken as the new adjustment level of the corresponding candidate branch. The load on the candidate branch is balanced and controlled using the new adjustment level.

[0037] Secondly, the present invention provides a remote control device for a safe, energy-saving, and environmentally friendly smart terminal, comprising:

[0038] The data acquisition module is used to acquire the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current periods.

[0039] The branch filtering module is used to analyze the load anomaly of each parallel branch based on the difference between the historical power, rated power and actual power of each parallel branch, and to filter the parallel branches to determine the abnormal branches and the balanced branches.

[0040] The load analysis module is used to obtain the load balancing auxiliary index of each balanced branch based on the difference in actual power between the current time period and the historical time period, the difference in actual temperature data between the current time and the historical time period, and the load anomaly and power adjustment degree of each balanced branch in the current time period.

[0041] The load balancing module is used to balance the load on parallel branches based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index.

[0042] Thirdly, the present invention provides a remote control device for a safe, energy-saving and environmentally friendly smart terminal, including a memory, a processor and a computer program stored in the memory and running on the processor, wherein the computer program, when executed by the processor, implements the steps of a remote control method for a safe, energy-saving and environmentally friendly smart terminal.

[0043] The embodiments of the present invention have at least the following beneficial effects:

[0044] This invention first collects power data and environmental data for parallel branches across three dimensions, providing a data foundation for subsequent analysis of the impact of factors such as the power consumption habits of electrical equipment on parallel branches and environmental influences on the load balancing control process. Then, by analyzing the differences between historical power, rated power, and actual power, it can consider the load anomalies exhibited by the parallel branches in terms of power, and use these anomalies to screen parallel branches, distinguishing between abnormal branches with load anomalies and balanced branches without load anomalies. Furthermore, by comprehensively analyzing the relationship between the differences in actual power and actual temperature in normal balanced branches, the correlation between power changes and the environment is explored. Further, by combining load anomalies and the degree of power adjustment, a load balancing auxiliary index is obtained, which characterizes the strength of the corresponding balanced branch's ability to undertake load balancing tasks. Finally, the actual power on abnormal branches characterizes the power that needs to be balanced in the current period. Based on the degree of power adjustment and the load balancing auxiliary index, the load balancing control operation of the parallel branches is realized. This invention optimizes the load capacity that each branch can handle, improving load balancing efficiency and ensuring electrical safety. Attached Figure Description

[0045] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating the steps of a remote control method for a safe, energy-saving, and environmentally friendly smart terminal provided by the present invention.

[0047] Figure 2 This is a flowchart of the steps for obtaining abnormal branches and balanced branches provided by the present invention;

[0048] Figure 3 This is a flowchart of the steps for obtaining the load balancing auxiliary index provided by the present invention;

[0049] Figure 4 This is a flowchart of the steps for obtaining the actual adjustment range of the balanced branch provided by the present invention;

[0050] Figure 5 This is a schematic diagram of a remote control device for a safe, energy-saving, and environmentally friendly smart terminal provided by the present invention. Detailed Implementation

[0051] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation methods, structures, features, and effects of a remote control method, apparatus, and device for a safe, energy-saving, and environmentally friendly intelligent terminal proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0053] The following description, in conjunction with the accompanying drawings, details the specific solution of the remote control method, device, and equipment for a safe, energy-saving, and environmentally friendly intelligent terminal provided by the present invention.

[0054] The specific scenario addressed by this invention is as follows: In a user's room, there are various electrical appliances. In daily life, different residents have different usage patterns for these appliances based on their lifestyles. For example, the output power of electric heaters and air conditioners may be adjusted according to the current ambient temperature, and the brightness of streetlights may be changed according to the residents' activity patterns. Furthermore, when an abnormal load occurs in one appliance, the load of other normally functioning appliances can be adjusted to ensure the normal operation of other devices.

[0055] Please see Figure 1 The diagram illustrates a flowchart of a remote control method for a safe, energy-saving, and environmentally friendly smart terminal according to an embodiment of the present invention. The method includes the following steps:

[0056] Step S100: Obtain the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current time periods.

[0057] It should be noted that, since the voltage is the same in parallel circuits, the current drawn by each electrical device from the power source is related to its internal resistance or power demand. The magnitude of the current is determined by the device's load requirements. Therefore, the main method for load balancing is to adjust the current distributed among different devices. Specific adjustment methods include adjusting device resistance, adjusting device power requirements, and using intelligent circuit breakers, among others.

[0058] However, during the adjustment process, it is also necessary to consider the current usage of different electrical appliances, the residents' living habits, and the specific environmental information. For example, when the room temperature is high, reducing the power of the refrigerator or air conditioner to balance the load may lead to spoilage of food stored in the refrigerator or poor cooling effect. Therefore, when balancing the load, it is necessary to ensure that the load balancing will not have an excessive impact on the residents' current activities. Therefore, this embodiment specifically analyzes the actual power data generated on each parallel circuit, along with historical data and rated data, to achieve efficient load balancing and data control.

[0059] Specifically, the smart terminal is connected to each parallel branch circuit in the room to monitor the circuit data of electrical equipment on each branch circuit. At the same time, it acquires the basic parameters of electrical equipment on each parallel branch circuit, including rated power and power in different operating modes. The smart terminal acquires environmental data through its built-in sensor system to monitor the safety status of the room. All real-time monitoring data is stored on the smart terminal.

[0060] In this embodiment, each day is divided into different time periods, all of which have the same length. For example, 1:00 to 2:00 per day constitutes one time period. Historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch are retrieved from the stored data for both historical and current time periods. The current time period refers to the period during which the load balancing control situation is currently being analyzed, while historical time periods refer to time periods on other days in the historical data that are in the same position as the current time period, such as 1:00 to 2:00 on other days in the historical data.

[0061] It is understood that the power data for each dimension on each parallel branch represents the total power of the corresponding parallel branch. The actual power of the parallel line in each time period refers to the power data collected in real time during that time period. The historical power of the parallel line in each time period refers to the average of the actual power of all historical time periods in the historical data for that time period. The rated power of the parallel line refers to the total power of all electrical devices on the parallel line. The actual temperature data of the parallel line in each time period refers to the average temperature collected at all times during that time period. It should be noted that in this embodiment, the historical data is set to the data from the 30 days prior to the corresponding time period.

[0062] Step S200: Based on the differences between the historical power, rated power and actual power of each parallel branch, analyze the load anomaly of each parallel branch to screen the parallel branches and determine the abnormal branches and balanced branches.

[0063] Electrical equipment load refers to the electricity or power consumed by the equipment during operation, reflecting the electrical energy demand of the equipment. In residential areas, the load of electrical equipment varies depending on the time of day and the residents' lifestyles. Based on the current residents' lifestyles, the load anomalies of different devices on parallel branches during the current time period are obtained, and the parallel branches requiring load balancing are selected. In this embodiment, as... Figure 2 As shown, the method for obtaining abnormal branches and balanced branches can be implemented by steps S201 to S203.

[0064] Step S201: Based on the differences between the historical power, rated power and actual power of each parallel branch in the current time period, the historical power deviation, the first actual deviation and the second actual deviation are obtained respectively.

[0065] Considering that a larger deviation between the user's historical power consumption and the rated power of a parallel branch indicates that the equipment in that parallel branch is usually under high load or in energy-saving mode during daily use, when analyzing the abnormal state of the parallel branch, in order to more accurately analyze the abnormal power, we can pay more attention to the deviation between the actual power and the historical power, that is, pay more attention to the deviation between the actual power and the historical daily power. This can fully take into account the current usage of different electrical appliances and the living habits of residents.

[0066] Therefore, it is first necessary to analyze the power deviation in multiple aspects. Specifically, for any parallel branch in the current time period, the historical power deviation of the parallel branch is determined based on the difference between the historical power and the rated power of the parallel branch; the first actual deviation of the parallel branch is determined based on the difference between the actual power and the historical power of the parallel branch; and the second actual deviation of the parallel branch is determined based on the difference between the actual power and the rated power of the parallel branch.

[0067] In this embodiment, the analysis of the power or load balance control process mainly involves the characteristic analysis of all parallel circuits in the current time period. Therefore, this embodiment takes any parallel branch as an example to analyze the power information characteristics of the parallel branch in the current time period.

[0068] Specifically, the absolute value of the difference between the historical power and the rated power of the parallel branch in the current period is taken as the historical power deviation of the parallel branch in the current period. This reflects the deviation between the daily power consumption habits and the rated power of the parallel branch in the current period, and in other words, it reflects the daily usage habits of the parallel branch in the current period.

[0069] The absolute value of the difference between the actual power and the historical power of the parallel branch in the current period is taken as the first actual deviation of the parallel branch in the current period, reflecting the power deviation between the actual usage and historical daily usage of the parallel branch in the current period. The absolute value of the difference between the actual power and the rated power of the parallel branch in the current period is taken as the second actual deviation of the parallel branch in the current period, reflecting the power deviation between the actual usage and the rated usage of the parallel branch in the current period.

[0070] Step S202: Based on the historical power deviation values ​​of the parallel branches, and combined with the first actual deviation and the second actual deviation, obtain the load anomaly evaluation of the parallel branches.

[0071] To fully consider the current usage of different electrical appliances and residents' living habits, when the deviation between the historical power and the rated power of a parallel circuit in the current period is large, it indicates that there is a significant deviation between the historical usage and the rated usage. In other words, the equipment is usually used under high load or energy-saving conditions. Therefore, when analyzing the abnormal power of a parallel circuit in the current period, it is necessary to comprehensively consider the difference between the actual power and the rated power, as well as the difference between the actual power and the historical power, and pay more attention to the degree of deviation between the actual power and the historical power.

[0072] However, when the deviation between the historical power and rated power of a parallel circuit in the current period is small, it indicates that the equipment has been used relatively normally in its historical daily operations. Therefore, when analyzing anomalies in the actual power of the parallel circuit, more historical data can be referenced for characteristic analysis. Based on this, the historical power deviation of the parallel circuit can be used to determine whether the historical power performance of the parallel circuit in the current period is within a relatively normal range.

[0073] The first step is to determine the load anomaly evaluation of the parallel branch based on the second actual deviation of the parallel branch when the normalized value of the historical power deviation of the parallel branch is less than the preset deviation threshold.

[0074] In this embodiment, the historical power deviation of each parallel branch is normalized using the maximum and minimum value normalization method. The preset value of the deviation threshold can be 0.6. The deviation threshold is used to judge the degree of historical power deviation corresponding to the parallel branch. The larger the value, the stricter the judgment standard, and the smaller the value, the more lenient the judgment standard. The value range is (0,1).

[0075] When the normalized value of the historical power deviation of the parallel branch in the current period is less than the deviation threshold, it indicates that the equipment in the parallel branch is in relatively normal historical daily use. Therefore, the second actual deviation of the parallel branch in the current period can be directly used as the load anomaly evaluation of the parallel branch in the current period to characterize the load anomaly of the parallel branch in the current period.

[0076] The second step involves determining a first weight corresponding to the first actual deviation and a second weight corresponding to the second actual deviation based on the historical power deviation of the parallel branch. The first weight is positively correlated with the historical power deviation, and the second weight is negatively correlated with the historical power deviation. Using the first weight and the second weight, the first actual deviation and the second actual deviation are weighted and summed to obtain the load anomaly evaluation of the parallel branch. The load anomaly evaluation value is a normalized value.

[0077] When the normalized value of the historical power deviation of the parallel branch in the current period is greater than or equal to the deviation threshold, it indicates that the equipment in the parallel branch has been used in an unusual way in the past, and may usually be in a high-load or energy-saving state. At this time, it is necessary to comprehensively consider the deviation of the actual power in two different aspects. The larger the deviation, the greater the attention should be paid to the deviation between the actual power and the historical power.

[0078] Specifically, in this embodiment, taking any parallel branch as an example, and using the t-th time period to represent the current time period, the load anomaly evaluation of the i-th parallel branch in the current time period can be expressed by the formula:

[0079] F t,i = Norm(α1×ΔP1) t,i +α2×ΔP2 t,i )

[0080] α1=Norm(ΔP′ t,i )

[0081] α2=1-Norm(ΔP′ t,i )

[0082] Among them, F t,i This represents the load anomaly assessment of the i-th parallel branch in the current time period, where i represents any parallel branch, i = 1, 2, ..., N, N represents the total number of parallel branches, and t represents the current time period, i.e., the t-th time period; ΔP1 t,i ΔP2 represents the first actual deviation of the i-th parallel branch in the current time period. t,i Let ΔP′ represent the second actual deviation of the i-th parallel branch in the current time period. t,iα1 represents the historical power deviation of the t-th parallel branch in the current time period; α2 represents the first weight corresponding to the first actual deviation; Norm is the normalization function.

[0083] Step S203: Parallel branches whose load anomaly evaluation is greater than a preset anomaly threshold are designated as abnormal branches, and parallel branches whose load anomaly evaluation is less than or equal to a preset anomaly threshold are designated as balanced branches.

[0084] Load anomaly assessment characterizes the actual power deviation characteristics of parallel branches in various aspects during a corresponding time period, thus reflecting the actual power anomaly of the parallel branches during that time period. The larger the load anomaly assessment value, the greater the possibility of load anomaly in the parallel branches during that time period; the smaller the load anomaly assessment value, the less likely the parallel branches are to have load anomaly during that time period.

[0085] In this embodiment, the anomaly threshold is set to 0.6. This threshold is used to determine the likelihood of load anomalies in parallel branches. A higher threshold indicates a stricter standard for judging load anomalies in parallel branches, while a lower threshold indicates a more lenient standard. Since the load anomaly evaluation value is a normalized value, the anomaly threshold in this embodiment ranges from (0,1). Using the anomaly threshold, parallel branches with a higher probability of load anomalies can be identified. In other words, abnormal branches represent parallel branches with a higher probability of load anomalies, while balanced branches represent parallel branches with a lower probability of load anomalies, i.e., parallel branches with a higher probability of normal load. This provides a data foundation for subsequent feature analysis.

[0086] Step S300: Based on the difference in actual power between the current time period and the historical time period for each balanced branch, the difference in actual temperature data between the current time period and the historical time period, and combined with the load anomaly and power adjustment degree of each balanced branch in the current time period, the load balancing auxiliary index of each balanced branch is obtained.

[0087] During load balancing of electrical equipment, the assistance provided by different devices varies depending on their current operating state. For example, refrigerators and air conditioners experience high loads in hot weather, limiting the scope for adjustment during load balancing. Analyzing devices with lower load anomaly scores helps determine their capacity for load balancing assistance, enabling more efficient load control.

[0088] The cause of abnormal loads may be due to open circuits, short circuits, or changes in the operating mode of electrical equipment in the abnormal branch. Therefore, during load balancing control, the load of electrical equipment in the abnormal branch is not adjusted; instead, the equipment in the normal branch is adjusted first. Based on this, characteristic analysis can be performed from three aspects to quantify the extent to which the load of each normal branch, i.e., the balanced branch, can be adjusted. Specifically, such as... Figure 3 As shown, the method for obtaining the load balancing auxiliary index can be implemented by steps S301 to S303.

[0089] Step S301: Based on the difference in actual power between the current time period and each historical time period corresponding to the balanced branch, and the difference in actual temperature data between the current time and each historical time period, the correlation between the power and temperature changes of the balanced branch is obtained.

[0090] Firstly, considering that the power consumption of electrical equipment in parallel branches may be strongly correlated with ambient temperature—for example, air conditioners and refrigerators have higher loads in summer, and electric heaters have higher loads in winter—adjusting the load of these appliances may affect residents' daily lives, thus limiting the scope of adjustments during load balancing. Therefore, we first analyze the correlation between actual power changes and temperature changes in normal branches. A stronger correlation corresponds to a smaller degree of load adjustment, while a weaker correlation allows for a more appropriate degree of load adjustment.

[0091] The first step is to select each historical time period that is on the same day as the current time period for any balanced branch.

[0092] To analyze whether there is a strong correlation between changes in the actual power of the balancing branch and temperature changes, actual power and temperature data for multiple different time periods are needed for correlation analysis. In this embodiment, data from each historical time period of the same day for the balancing branch is selected for analysis. It can be understood that if the current time period is the first time period of the day, that is, for the current time period with no historical time periods or a small number of historical time periods, data analysis can be performed by selecting multiple time periods from the previous day adjacent to the current time period.

[0093] It is understandable that all historical periods involved in the subsequent analysis in step 301 are each historical period selected in this step.

[0094] The second step is to determine the actual power difference for each historical period based on the difference in actual power of the balanced branch between the current period and each historical period.

[0095] Specifically, for any balanced branch, the absolute value of the difference between the actual power of the balanced branch in the current time period and the actual power in each historical time period is taken as the actual power difference for each historical time period, reflecting the power change of the balanced branch in the current time period and other time periods.

[0096] The third step is to determine the actual temperature difference for each historical period based on the difference in actual temperature data between the current period and each historical period for the balanced branch.

[0097] Specifically, for any balanced branch, the absolute value of the difference between the actual temperature data of the balanced branch in the current time period and the actual temperature data of each historical time period is taken as the actual temperature difference corresponding to each historical time period, reflecting the temperature change of the balanced branch in the current time period and other time periods.

[0098] The fourth step is to determine the correlation between the power and temperature changes of the balanced branch based on the Pearson correlation coefficient between the actual power difference and the actual temperature difference.

[0099] Specifically, a power difference sequence is constructed from the actual power differences corresponding to all historical time periods, and a temperature difference sequence is constructed from the actual temperature differences corresponding to all historical time periods. The Pearson correlation coefficient between the power difference sequence and the temperature difference sequence is normalized to obtain the correlation between the power and temperature changes of the corresponding balanced branch.

[0100] The correlation of change reflects the relationship between the actual power change and the actual temperature change in the balanced branch. The larger the value of the correlation of change, the stronger the correlation between the two, and the smaller the degree of load adjustment should be. The smaller the value of the correlation of change, the weaker the correlation between the two, and the larger the degree of load adjustment can be.

[0101] Step S302: In the current time period, based on the differences between the actual power of the balancing branch and the maximum and minimum power, the differences between the actual power of the current time period and the historical power of the next adjacent time period, and in conjunction with the load anomaly evaluation and change correlation, the actual adjustment range of the balancing branch is obtained.

[0102] Secondly, quantifying the extent to which each balancing branch can be adjusted in terms of load also requires considering the actual range of load adjustment that the power in the balancing branch can be adjusted. By comparing the power deviation between the current time period and the next adjacent time period, the minimum load that needs to be adjusted at the moment is estimated. Combined with the load range that the balancing branch can withstand, the adjustment range that the balancing branch can withstand under the initial conditions is determined.

[0103] Thirdly, based on the above analysis of the correlation between power change and temperature change, as well as the probability of load anomalies in the balanced branch, further adjustments can be made to the initial conditions of the balanced branch. This allows for full consideration of objective factors such as environmental factors and residents' electricity usage habits when adjusting the load.

[0104] In this embodiment, as Figure 4 As shown, the method for obtaining the actual adjustment range of the balanced branch can be implemented by steps S3021 to S3023.

[0105] Step S3021: Determine the initial adjustment range of the balancing branch in the current time period by using the maximum and minimum values ​​of the actual power of the balancing branch and the actual power of the current time period.

[0106] In this embodiment, taking any balanced branch as an example, the maximum value of all actual power of the balanced branch can be the maximum total power of the electrical equipment in the balanced branch under different performance modes, and the minimum value of all actual power of the balanced branch can be the minimum total power of the electrical equipment in the balanced branch under energy-saving mode.

[0107] Specifically, the upper limit of the initial adjustment range is determined based on the difference between the maximum actual power of the balanced branch and the actual power in the current time period; the lower limit of the initial adjustment range is determined based on the difference between the actual power of the balanced branch and the minimum actual power in the current time period.

[0108] More specifically, the initial adjustment range of the balancing branch in the current time period can be represented as [P1, P2], where the lower limit of the initial adjustment range is P1 = P2. t,n -P n,min The upper limit of the initial adjustment range P2 = P n,max -P t,n n represents any balanced branch, i.e., the nth balanced branch, t represents the tth time period, i.e., the current time period, P t,n P represents the actual power of the nth balancing branch in the current time period. n,min P represents the minimum actual power of the nth balanced branch. n,max This represents the maximum actual power of the nth balanced branch.

[0109] Step S3022: The difference between the actual power of the balancing branch in the current time period and the historical power in the next adjacent time period is used as the expected adjustment range of the balancing branch in the current time period.

[0110] For the nth balanced branch, the historical power in the (t+1)th time period reflects the power performance of the current time period in the historical daily usage. By comparing the actual usage in the current time period with the historical usage in the future time period, we can preliminarily predict the changes in the power of the balanced branch in the future time period and the degree of adjustment required.

[0111] Specifically, the difference between the actual power of the nth balancing branch in time period t and the historical power in time period t+1 is the expected adjustment range of the nth balancing branch in time period t.

[0112] Step S3023: Using the load anomaly evaluation and change correlation of the balanced branch in the current time period, and combined with the expected adjustment range, adjust the initial adjustment range of the balanced branch in the current time period to obtain the actual adjustment range of the balanced branch in the current time period.

[0113] The first step is to use the negative correlation coefficient of the product between the load anomaly assessment and the change correlation of the balanced branch in the current time period as the adjustment coefficient.

[0114] More specifically, the parameters can be negatively correlated using the form 1-Norm(x). In other embodiments, implementers can choose a more suitable method based on the specific implementation scenario.

[0115] The second step involves using the adjustment coefficient to adjust the sum of the upper limit of the initial adjustment range and the expected adjustment magnitude to obtain the upper limit of the actual adjustment range, and adjusting the difference between the lower limit of the initial adjustment range and the expected adjustment magnitude to obtain the lower limit of the actual adjustment range. The lower limit and the upper limit constitute the actual adjustment range of the balanced branch.

[0116] Specifically, taking any balancing branch as an example, the actual adjustment range of the nth balancing branch in the current time period can be expressed as [P1] ′ P2 ′ ], where P1 ′ P2 represents the lower limit of the actual adjustment range of the nth balancing branch in the current time period. ′ This represents the upper limit of the actual adjustment range of the nth balancing branch in the current time period. As a specific example, the calculation formula can be expressed as:

[0117]

[0118] Where P1 represents the upper limit of the initial adjustment range of the nth balancing branch in the current time period, P2 represents the lower limit of the initial adjustment range of the nth balancing branch in the current time period, and ΔP t ′,′n This represents the expected adjustment range of the nth balancing branch in the current time period. This represents the adjustment coefficient corresponding to the nth balancing branch in the current time period, where t represents the current time period, i.e., the tth time period.

[0119] When the expected adjustment magnitude ΔP t ′,′ n When the power consumption of the current balanced branch is greater than 0, it indicates that the power consumption of the current balanced branch will decrease in the future period. Therefore, the potential for power consumption to increase in the current balanced branch is larger. Thus, the upper limit of the adjustable power in the current period can be increased to a certain extent, i.e., P1 + ΔP. t ′,′ n The larger the value, the less the lower limit of the corresponding range can be adjusted. (P2-ΔP) t ′,′ n The smaller the value, the better.

[0120] When the expected adjustment magnitude ΔP t ′,′ n When P1 < 0, it indicates that the power consumption of the current balanced branch will increase in the future. Therefore, the space for power consumption to increase in the corresponding balanced branch is smaller. Thus, the upper limit of the adjustable power in the current period can be reduced to a certain extent, i.e., P1 + ΔP. t ′,′ n The smaller the value of , the greater the degree to which the lower limit of the corresponding range can be adjusted, P2-ΔP t ′,′ n The larger the value, the better.

[0121] When the expected adjustment magnitude ΔP t ′,′ n When the value is 0, it means that the power consumption of the current balanced branch will not change in the future period. At this time, we pay more attention to the value of the adjustment coefficient. That is, the greater the possibility of power anomalies in the balanced branch in the current period, the greater the correlation between power change and temperature change, the smaller the adjustability of the balanced branch, that is, the smaller the actual adjustment range after adjustment using the adjustment coefficient.

[0122] Step S303: Based on the ratio of the actual adjustment range of the balancing branch to the initial adjustment range in the current time period, obtain the load balancing auxiliary index of the balancing branch in the current time period.

[0123] Specifically, the first difference between the upper and lower limits of the actual adjustment range is calculated, and the second difference between the upper and lower limits of the initial adjustment range is calculated. The ratio of the first difference to the second difference is used as the load balancing auxiliary index of the balancing branch in the current time period, which can be expressed by the formula:

[0124]

[0125] Where, β t,n P1 represents the load balancing auxiliary index of the nth balancing branch in the current time period, where t represents the current time period, i.e., the t-th time period. ′ and P2 ′ P1 and P2 represent the lower and upper limits of the actual adjustment range of the nth balancing branch in the current time period, respectively, and the lower and upper limits of the initial adjustment range of the nth balancing branch in the current time period, respectively.

[0126] P2-P1 reflects the actual power adjustment range of the nth balanced branch, P2 ′ -P1 ′ This reflects the actual power fluctuation range of the nth balancing branch. The larger the actual fluctuation range is compared to the power operating range, the greater the load that the corresponding balancing branch can bear and the stronger its load balancing capability. Conversely, the smaller the actual fluctuation range is compared to the power operating range, the weaker its load balancing capability.

[0127] Step S400: Based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index, the load on the parallel branches is balanced.

[0128] The load balancing auxiliary index reflects the ability of the corresponding balanced branch to handle a large load. According to the order of the ability to handle the load from strong to weak, the balanced branches can be analyzed in turn, and the input current of different parallel branches can be adjusted to achieve load balance control.

[0129] The first step is to use the sum of the actual power of all abnormal branches in the current time period as the ratio of the number of balanced branches as the degree of adjustment to be calculated. The degree of adjustment to be calculated can be understood as the total power that needs to be balanced through all abnormal branches, and the power that each balanced branch needs to bear.

[0130] The second step is to judge each balancing branch in descending order of the load balancing auxiliary index. If the degree to be adjusted is within the actual adjustment range of the balancing branch, the load of the balancing branch is balanced based on the degree to be adjusted and the actual current of the corresponding balancing branch.

[0131] Understandably, by comparing the power required to be handled by each balancing branch with the adjustable power range of the corresponding balancing branch, if the required adjustment level falls within the actual adjustment range of the balancing branch in the current time period, it indicates that the current balancing branch can handle the average load balancing task. Therefore, the load balancing control operation of the balancing branch is achieved by directly utilizing the required power adjustment level and controlling the actual current in the balancing branch that meets the conditions. It should be noted that controlling the current in parallel branches can be achieved by controlling the resistance or power in the parallel circuit; this is a well-known technique and will not be discussed further here.

[0132] The third step is to select all balanced branches whose adjustment level is not within the actual adjustment range of the balanced branch as candidate branches, and take the historical maximum power of each candidate branch in the current period as the new adjustment level of the corresponding candidate branch. The load on the candidate branch is balanced and controlled using the new adjustment level.

[0133] When the power required to be handled by each balancing branch is outside the actual adjustment range of the corresponding balancing branch in the current time period, it indicates that the corresponding balancing branch cannot handle the current average load balancing task. The maximum load that the candidate branches meeting the conditions can handle at this time should be selected; this could be the historical maximum power or 90% of the rated power. It should be noted that when all balancing branches are unable to balance the remaining power, priority load reduction, backup capacity activation, and energy efficiency optimization strategies can be implemented, or the power supply can be cut off to prevent danger, and professional personnel can be notified for maintenance. These are techniques well-known to those skilled in the art and will not be elaborated upon further here.

[0134] It should be noted that while the smart terminal performs load balancing on electrical devices in different parallel branches within the house, it can also assist in monitoring to further ensure residents' electrical safety and improve energy efficiency. This embodiment optimizes the load capacity of each branch by analyzing user electricity usage habits and environmental impacts, thereby improving load balancing efficiency and ensuring electrical safety.

[0135] like Figure 5 As shown, this embodiment of the invention also provides a remote control device for a safe, energy-saving, and environmentally friendly smart terminal, used to implement the steps of a remote control method for a safe, energy-saving, and environmentally friendly smart terminal. The remote control device for the smart terminal includes:

[0136] The data acquisition module is used to acquire the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current periods.

[0137] The branch filtering module is used to analyze the load anomaly of each parallel branch based on the difference between the historical power, rated power and actual power of each parallel branch, and to filter the parallel branches to determine the abnormal branches and the balanced branches.

[0138] The load analysis module is used to obtain the load balancing auxiliary index of each balanced branch based on the difference in actual power between the current time period and the historical time period, the difference in actual temperature data between the current time and the historical time period, and the load anomaly and power adjustment degree of each balanced branch in the current time period.

[0139] The load balancing module is used to balance the load on parallel branches based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index.

[0140] This invention also provides a remote control device for a safe, energy-saving, and environmentally friendly smart terminal, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the computer program is executed by the processor, it implements the steps of a remote control method for a safe, energy-saving, and environmentally friendly smart terminal. Since this embodiment has already described a remote control method for a safe, energy-saving, and environmentally friendly smart terminal in detail, it will not be described further here.

[0141] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal, characterized in that, The method includes the following steps: Acquire the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current time periods; Based on the differences between the historical power, rated power and actual power of each parallel branch, the load anomalies of each parallel branch are analyzed to screen the parallel branches and determine the abnormal branches and the balanced branches. Based on the difference in actual power between the current time period and the historical time period for each balanced branch, the difference in actual temperature data between the current time and the historical time period, and combined with the load anomaly and power adjustment degree of each balanced branch in the current time period, the load balancing auxiliary index of each balanced branch is obtained. Based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index, the load on the parallel branches is balanced and controlled. The load balancing auxiliary index for each balancing branch is obtained based on the difference in actual power between the current time period and historical time periods, the difference in actual temperature data between the current time and historical time periods, and in combination with the load anomaly and power adjustment degree of each balancing branch in the current time period. Specifically, this includes: For any balanced branch, the correlation between the power and temperature changes of the balanced branch is obtained based on the difference in actual power between the current time period and each historical time period, and the difference in actual temperature data between the current time and each historical time period. In the current time period, based on the differences between the actual power of the balancing branch and the maximum and minimum power, the differences between the actual power of the current time period and the historical power of the next adjacent time period, and combined with load anomaly evaluation and change correlation, the actual adjustment range of the balancing branch is obtained; Based on the ratio of the actual adjustment range to the initial adjustment range of the balancing branch in the current period, the load balancing auxiliary index of the balancing branch in the current period is obtained.

2. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 1, characterized in that, The process involves analyzing the load anomalies of each parallel branch based on the differences between its historical power, rated power, and actual power, and then filtering the parallel branches to identify abnormal and balanced branches. Specifically, this includes: For any parallel branch in the current time period, the historical power deviation of the parallel branch is determined based on the difference between the historical power and the rated power of the parallel branch; the first actual deviation of the parallel branch is determined based on the difference between the actual power and the historical power of the parallel branch; and the second actual deviation of the parallel branch is determined based on the difference between the actual power and the rated power of the parallel branch. Based on the historical power deviation values ​​of the parallel branches, and combined with the first and second actual deviations, the load anomaly evaluation of the parallel branches is obtained. Parallel branches whose load anomaly evaluation is greater than the preset anomaly threshold are designated as abnormal branches, while parallel branches whose load anomaly evaluation is less than or equal to the preset anomaly threshold are designated as balanced branches.

3. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 2, characterized in that, The process of obtaining a load anomaly assessment of the parallel branch based on the historical power deviation values ​​of the parallel branch, combined with the first and second actual deviations, specifically includes: When the normalized value of the historical power deviation of the parallel branch is less than the preset deviation threshold, the load anomaly evaluation of the parallel branch is determined based on the second actual deviation of the parallel branch. When the normalized value of the historical power deviation of the parallel branch is greater than or equal to the preset deviation threshold, the first weight corresponding to the first actual deviation and the second weight corresponding to the second actual deviation are determined based on the historical power deviation of the parallel branch. The first weight is positively correlated with the historical power deviation, and the second weight is negatively correlated with the historical power deviation. Using the first weight and the second weight, the first actual deviation and the second actual deviation are weighted and summed respectively to obtain the load anomaly evaluation of the parallel branch; the value of the load anomaly evaluation is a normalized value.

4. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 1, characterized in that, The correlation between the power and temperature changes of the balanced branch is obtained based on the difference in actual power between the current time period and each historical time period, and the difference in actual temperature data between the current time and each historical time period. Specifically, this includes: For any balanced branch, filter each historical time period that is on the same day as the current time period; Based on the difference in actual power of the balanced branch between the current time period and each historical time period, the actual power difference corresponding to each historical time period is determined; based on the difference in actual temperature data of the balanced branch between the current time period and each historical time period, the actual temperature difference corresponding to each historical time period is determined. Based on the Pearson correlation coefficient between the actual power difference and the actual temperature difference, the correlation between the power and temperature changes of the balanced branch is determined.

5. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 1, characterized in that, The actual adjustment range of the balancing branch is obtained by combining the differences between the actual power of the balancing branch and the maximum and minimum power, the differences between the actual power of the current time period and the historical power of the next adjacent time period, and the load anomaly evaluation and change correlation. Specifically, this includes: For any balanced branch, the upper limit of the initial adjustment range is determined based on the difference between the maximum actual power of the balanced branch and the actual power in the current time period; the lower limit of the initial adjustment range is determined based on the difference between the actual power of the balanced branch and the minimum actual power in the current time period. The difference between the actual power of the balancing branch in the current time period and the historical power in the next adjacent time period is used as the expected adjustment range of the balancing branch in the current time period; The negative correlation coefficient between the load anomaly evaluation and the change correlation of the balanced branch in the current time period is used as the adjustment coefficient. Using the adjustment coefficient, the sum of the upper limit of the initial adjustment range and the expected adjustment magnitude is adjusted to obtain the upper limit of the actual adjustment range. The difference between the lower limit of the initial adjustment range and the expected adjustment magnitude is adjusted to obtain the lower limit of the actual adjustment range. The lower limit and the upper limit constitute the actual adjustment range of the balanced branch.

6. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 5, characterized in that, The load balancing auxiliary index of the balancing branch in the current period is obtained based on the ratio of the actual adjustment range of the balancing branch to the initial adjustment range in the current period, specifically including: Calculate the first difference between the upper and lower limits of the actual adjustment range, and calculate the second difference between the upper and lower limits of the initial adjustment range. Use the ratio of the first difference to the second difference as the load balancing auxiliary index of the balancing branch in the current period.

7. The remote control method for a safe, energy-saving, and environmentally friendly intelligent terminal according to claim 6, characterized in that, The load balancing control on parallel branches is performed based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index. Specifically, this includes: The ratio of the sum of the actual power of all abnormal branches in the current time period to the number of balanced branches is used as the degree of adjustment to be determined. According to the load balancing auxiliary index in descending order, each balancing branch is judged in turn. If the degree to be adjusted is within the actual adjustment range of the balancing branch, the load of the balancing branch is balanced based on the degree to be adjusted and the actual current of the corresponding balancing branch. All balanced branches whose adjustment level is not within the actual adjustment range of the balanced branch are selected as candidate branches. The historical maximum power of each candidate branch in the current time period is taken as the new adjustment level of the corresponding candidate branch. The load on the candidate branch is balanced and controlled using the new adjustment level.

8. A remote control device for a safe, energy-saving, and environmentally friendly intelligent terminal, characterized in that, The steps for implementing the remote control method of a safe, energy-saving, and environmentally friendly smart terminal as described in any one of claims 1-7, wherein the remote control device of the smart terminal comprises: The data acquisition module is used to acquire the historical power, rated power, actual power, and actual temperature data of electrical equipment on each parallel branch stored in the smart terminal for historical and current periods. The branch filtering module is used to analyze the load anomaly of each parallel branch based on the difference between the historical power, rated power and actual power of each parallel branch, and to filter the parallel branches to determine the abnormal branches and the balanced branches. The load analysis module is used to obtain the load balancing auxiliary index of each balanced branch based on the difference in actual power between the current time period and the historical time period, the difference in actual temperature data between the current time and the historical time period, and the load anomaly and power adjustment degree of each balanced branch in the current time period. The load balancing module is used to balance the load on parallel branches based on the actual power of all abnormal branches in the current time period, the power adjustment degree of each balanced branch, and the corresponding load balancing auxiliary index.

9. A remote control device for a safe, energy-saving, and environmentally friendly intelligent terminal, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the remote control method for a safe, energy-saving, and environmentally friendly smart terminal as described in any one of claims 1-7.

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