Measurement switch control method and system based on edge computing and measurement switch

Abstract

The application provides a measurement switch control method and system based on edge computing and a measurement switch, relates to the technical field of measurement switch control, and comprises the following steps: acquiring circuit detection parameters; judging whether the circuit detection parameters meet the requirements of a preset circuit parameter threshold value; if not, acquiring circuit branch detection parameters; analyzing the circuit branch detection parameters to determine a threshold value tolerance time; acquiring stable circuit parameters of a household circuit based on the threshold value tolerance time; judging whether the stable circuit parameters meet the requirements of the preset circuit parameter threshold value; if not, analyzing the circuit branch detection parameters to determine a branch priority use score; analyzing the branch priority use score to determine a kept branch and a closed branch; controlling the measurement switch of the kept branch to be closed and controlling the measurement switch of the closed branch to be opened. The application has the effect of improving the control accuracy of the measurement switch.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of measurement switch control, in particular to a measurement switch control method and system based on edge computing and a measurement switch. BACKGROUND

[0002] A measurement switch, also known as a measurement switch, is an electrical component that combines parameter measurement and switch control functions. It is mainly used to realize on-off control in a circuit while monitoring key electrical parameters such as current, voltage, and power in real time, thereby realizing monitoring and management of the running state of the circuit.

[0003] In related technologies, measurement switches are often used for monitoring and management of household circuits. When a user turns on too many household appliances, the current, voltage, or power of the household circuit will increase significantly, thereby exceeding the threshold of the household circuit. When the measurement switch detects that the current, voltage, or power of the household circuit exceeds the threshold, it will disconnect the household circuit to ensure safety.

[0004] In related technologies described above, when multiple household appliances are started at the same time, multiple device instantaneous concurrent overload may occur, causing the current, voltage, or power of the household circuit to exceed the threshold. At this time, the measurement switch will immediately cut off the household circuit to ensure safety, but such concurrent usually is short-term, and the total power of the household circuit will fall after the household appliances are started and the power is stable, so the measurement switch needs to be restarted, resulting in low control accuracy of the measurement switch and room for improvement. SUMMARY

[0005] To improve the control accuracy of the measurement switch, the present application provides a measurement switch control method and system based on edge computing and a measurement switch.

[0006] In a first aspect, the present application provides a measurement switch control method based on edge computing, which adopts the following technical solution:

[0007] The measurement switch control method based on edge computing comprises:

[0008] Obtaining circuit detection parameters of a preset household circuit;

[0009] Determining whether the circuit detection parameters meet the requirements of the preset circuit parameter threshold;

[0010] If the requirements are met, the circuit detection parameters of the household circuit are continuously obtained for cyclic determination;

[0011] If the requirements are not met, circuit branch detection parameters are obtained;

[0012] Analyzing the circuit branch detection parameters to determine the threshold tolerance time;

[0013] acquiring stable circuit parameters of the household circuit based on the threshold tolerance time being exceeded;

[0014] determining whether the stable circuit parameters meet preset circuit parameter threshold requirements;

[0015] If yes, the circuit detection parameters of the household circuit are continuously acquired for a loop determination.

[0016] If no, the circuit branch detection parameters are analyzed to determine a branch priority use score.

[0017] The branch priority use score is analyzed to determine a keep branch and a close branch.

[0018] The measurement switch of the keep branch is controlled to be closed, and the measurement switch of the close branch is controlled to be opened.

[0019] By using the above technical solution, when it is determined that the circuit detection parameters do not meet the preset circuit parameter threshold requirements, the circuit branch detection parameters are collected, and the threshold tolerance time is analyzed. Thus, after the threshold tolerance time is exceeded, the stable circuit parameters are detected, and when it is determined that the stable circuit parameters also do not meet the preset circuit parameter threshold requirements, the circuit branch detection parameters are analyzed to obtain the branch priority use score. The keep branch and the close branch are determined according to the branch priority use score. The measurement switch of the keep branch is controlled to be closed, and the measurement switch of the close branch is controlled to be opened. Thus, the branch that does not have a negative impact on the circuit can still work, and the control accuracy of the measurement switch is improved.

[0020] Optionally, the step of analyzing the circuit branch detection parameters to determine the threshold tolerance time comprises:

[0021] analyzing the circuit branch detection parameters to determine a branch use device and a device weight coefficient.

[0022] analyzing the branch use device to determine a device cycle coefficient.

[0023] determining a start tolerance time and an overload tolerance time according to the branch use device and a preset appliance tolerance time relationship.

[0024] analyzing the start tolerance time, the overload tolerance time, the device cycle coefficient, and the device weight coefficient to determine a branch tolerance time.

[0025] analyzing the branch tolerance time to determine the threshold tolerance time.

[0026] By adopting the technical scheme, the branch equipment is determined by analyzing the detection parameters of the circuit branch, the equipment cycle coefficient, the start tolerance time and the overload tolerance time of the branch equipment are determined, the start tolerance time, the overload tolerance time, the equipment cycle coefficient and the equipment weight coefficient are weighted and summed to obtain the branch tolerance time of the branch, the threshold value tolerance time is obtained by analyzing all the branch tolerance times, and the accuracy of the threshold value tolerance time is improved.

[0027] Optionally, the step of analyzing the detection parameters of the circuit branch to determine the branch equipment includes:

[0028] obtaining possible equipment of the branch;

[0029] determining the appliance fluctuation current, the power stability coefficient and the common branch label according to the possible equipment of the branch and the preset appliance characteristic parameter library;

[0030] analyzing the detection parameters of the circuit branch and the appliance fluctuation current to determine a current matching item;

[0031] analyzing the power stability coefficient to determine a stability item;

[0032] analyzing the detection parameters of the circuit branch and the common branch label to determine a branch matching item;

[0033] analyzing the current matching item, the stability item, the branch matching item and a preset recognition weight coefficient to determine a branch appliance recognition score;

[0034] judging whether the branch appliance recognition score meets the requirement of a preset appliance recognition threshold value;

[0035] if not, the possible equipment of the branch is excluded;

[0036] if yes, the possible equipment of the branch is defined as the branch equipment.

[0037] By adopting the technical scheme, the current matching item is determined by analyzing the detection parameters of the circuit branch and the appliance fluctuation current, the stability item is determined by analyzing the power stability coefficient, the branch matching item is determined by analyzing the detection parameters of the circuit branch and the common branch label, the branch appliance recognition score is obtained by weighting and summing the current matching item, the stability item, the branch matching item and the preset recognition weight coefficient, the possible equipment of the branch is defined as the branch equipment when the branch appliance recognition score exceeds the preset appliance recognition threshold value, and the accuracy of determining the branch equipment is improved.

[0038] Optionally, the step of analyzing the branch tolerance time to determine the threshold value tolerance time includes:

[0039] analyzing the circuit branch detection parameter and the preset branch circuit threshold value to determine a time correction coefficient and a risk correction coefficient;

[0040] analyzing the branch tolerance time, the time correction coefficient and the risk correction coefficient to determine a branch correction tolerance time;

[0041] obtaining an importance weight of a branch use device and a simultaneous use necessity;

[0042] analyzing the importance weight and the simultaneous use necessity to determine a branch key coefficient;

[0043] analyzing the branch key coefficient to determine a maximum branch key coefficient;

[0044] analyzing the branch correction tolerance time, the branch key coefficient and the maximum branch key coefficient to determine an exceeding threshold tolerance time.

[0045] By adopting the above technical solution, the branch correction tolerance time is obtained by correcting the branch tolerance time according to the time correction coefficient and the risk correction coefficient, on the one hand, avoiding high overload for a long time, and on the other hand, limiting the tolerance time according to the short circuit risk of the branch, and then the exceeding threshold tolerance time is obtained by correcting the branch correction tolerance time according to the branch key coefficient and the maximum branch key coefficient, so that the exceeding threshold tolerance time can preferentially guarantee the safety of the branch with a high key coefficient.

[0046] Optionally, the step of analyzing the circuit branch detection parameter to determine the branch priority use score comprises:

[0047] analyzing the circuit branch detection parameter and the preset branch circuit threshold value to determine a branch running electrical appliance, a running electrical appliance quantity and a branch load rate;

[0048] analyzing the branch running electrical appliance to determine a self-defined priority score and an electrical appliance necessary coefficient;

[0049] analyzing the running electrical appliance quantity and a preset branch electrical appliance quantity threshold value to determine a branch load density;

[0050] analyzing the self-defined priority score, the branch load density, the electrical appliance necessary coefficient, the branch load rate and a preset branch adjustment weight coefficient to determine a branch basic use score;

[0051] analyzing the branch basic use score to determine the branch priority use score.

[0052] By adopting the technical scheme, the self-defined priority score and the appliance necessary coefficient of the branch running appliance are determined, so that the branch basic use score is calculated according to the self-defined priority score, the branch load density, the appliance necessary coefficient, the branch load rate and the preset branch adjustment weight coefficient, the branch priority use score is obtained after the branch basic use score is corrected, and the accuracy of the branch priority use score is improved.

[0053] Optionally, the step of analyzing the branch basic use score to determine the branch priority use score comprises:

[0054] obtaining a dynamic adjustment factor;

[0055] analyzing the circuit branch detection parameter to determine a scene correction coefficient;

[0056] analyzing the branch basic use score, the dynamic adjustment factor and the scene correction coefficient to determine the branch priority use score.

[0057] By adopting the technical scheme, the branch priority use score is obtained after the branch basic use score is corrected by the dynamic adjustment factor and the scene correction coefficient, on the one hand, the priority of the branch where the user is located is improved, and the sensitivity of the branch to time is improved, on the other hand, the score of the low-priority branch is reduced, and the branch where the appliance with low energy consumption is located is encouraged.

[0058] Optionally, the step of obtaining the dynamic adjustment factor comprises:

[0059] obtaining a branch user state based on the circuit branch detection parameter;

[0060] determining a user presence state factor according to the branch user state and a preset branch state factor relationship;

[0061] obtaining a branch use time;

[0062] determining a time period adjustment coefficient and a date adjustment coefficient according to the branch use time and a preset use time adjustment relationship;

[0063] analyzing the time period adjustment coefficient, the date adjustment coefficient and a preset time sensitivity weight coefficient to determine a time sensitivity factor;

[0064] analyzing the user presence state factor, the time sensitivity factor and a preset scene weight coefficient to determine the dynamic adjustment factor.

[0065] By adopting the technical scheme, the user presence state factor is determined according to the branch user state and the preset branch state factor relationship, the time period adjustment coefficient and the date adjustment coefficient are determined according to the branch use time and the preset use time adjustment relationship, and the time sensitive factor is calculated according to the time period adjustment coefficient, the date adjustment coefficient and the preset time sensitive weight coefficient, so that the dynamic adjustment factor is obtained after the user presence state factor, the time sensitive factor and the preset scene weight coefficient are calculated, and the accuracy of the dynamic adjustment factor is improved.

[0066] Optionally, the step of analyzing the circuit branch detection parameters to determine the scene correction coefficient comprises:

[0067] obtaining an average energy efficiency level of the running electrical appliances of the branch;

[0068] analyzing the average energy efficiency level, the preset maximum energy consumption level and the preset energy consumption influence coefficient to determine an energy consumption correction coefficient;

[0069] analyzing the circuit branch detection parameters to determine the first mutual exclusion circuit and the second mutual exclusion circuit;

[0070] analyzing the first mutual exclusion circuit, the second mutual exclusion circuit and the branch basic use score to determine a minimum use score and a maximum use score;

[0071] analyzing the minimum use score, the maximum use score and the preset correction intensity coefficient to determine a load mutual exclusion correction coefficient;

[0072] analyzing the energy consumption correction coefficient and the load mutual exclusion correction coefficient to determine the scene correction coefficient.

[0073] By adopting the technical scheme, the energy consumption correction coefficient is calculated according to the average energy efficiency level, the preset maximum energy consumption level and the preset energy consumption influence coefficient, the minimum use score and the maximum use score are determined after analyzing the first mutual exclusion circuit, the second mutual exclusion circuit and the branch basic use score, the load mutual exclusion correction coefficient is calculated according to the minimum use score, the maximum use score and the preset correction intensity coefficient, and finally the scene correction coefficient is calculated according to the energy consumption correction coefficient and the load mutual exclusion correction coefficient, so that the accuracy of the scene correction coefficient is improved.

[0074] In a second aspect, the application provides a measurement switch control system based on edge computing, which adopts the following technical scheme:

[0075] A measurement switch control system based on edge computing comprises:

[0076] an acquisition module configured to acquire circuit detection parameters and circuit branch detection parameters;

[0077] The first determining module is configured to determine whether the circuit detection parameter meets the preset circuit parameter threshold requirement, and if yes, continue to acquire the circuit detection parameter of the household circuit for cyclic determination, and if not, acquire the circuit branch detection parameter.

[0078] The first processing module is configured to analyze the circuit branch detection parameter to determine the threshold tolerance time, and acquire the stable circuit parameter of the household circuit based on the threshold tolerance time.

[0079] The second determining module is configured to determine whether the stable circuit parameter meets the preset circuit parameter threshold requirement, and if yes, continue to acquire the circuit detection parameter of the household circuit for cyclic determination, and if not, analyze the circuit branch detection parameter to determine the branch priority use score.

[0080] The second processing module is configured to analyze the branch priority use score to determine the kept branch and the closed branch, control the on-off switch of the kept branch to be closed, and control the on-off switch of the closed branch to be opened.

[0081] By using the above technical solution, when it is determined that the circuit detection parameter does not meet the preset circuit parameter threshold requirement, the circuit branch detection parameter is collected, and the threshold tolerance time is analyzed, so that the stable circuit parameter is detected after the threshold tolerance time, and when it is determined that the stable circuit parameter also does not meet the preset circuit parameter threshold requirement, the circuit branch detection parameter is analyzed to obtain the branch priority use score, the kept branch and the closed branch are determined according to the branch priority use score, the on-off switch of the kept branch is controlled to be closed, and the on-off switch of the closed branch is controlled to be opened, so that the branch that does not cause negative impact on the circuit still works, and the control accuracy of the on-off switch is improved.

[0082] In a third aspect, the present application provides a on-off switch, which uses the following technical solution:

[0083] The on-off switch uses the on-off switch control method based on edge computing as described in any one of the above.

[0084] By using the above technical solution, by using the on-off switch, when it is determined that the circuit detection parameter does not meet the preset circuit parameter threshold requirement, the circuit branch detection parameter is collected, and the threshold tolerance time is analyzed, so that the stable circuit parameter is detected after the threshold tolerance time, and when it is determined that the stable circuit parameter also does not meet the preset circuit parameter threshold requirement, the circuit branch detection parameter is analyzed to obtain the branch priority use score, the kept branch and the closed branch are determined according to the branch priority use score, the on-off switch of the kept branch is controlled to be closed, and the on-off switch of the closed branch is controlled to be opened, so that the branch that does not cause negative impact on the circuit still works, and the control accuracy of the on-off switch is improved.

[0085] In summary, the present application includes at least one of the following beneficial technical effects:

[0086] 1. By collecting the circuit branch detection parameters when the determination circuit detects that the parameters do not meet the preset circuit parameter threshold value, and analyzing the threshold value tolerance time, the stable circuit parameters are detected after the threshold value tolerance time, and when it is determined that the stable circuit parameters do not meet the preset circuit parameter threshold value, the circuit branch detection parameters are analyzed, thereby obtaining the branch priority use score, and the branch priority use score is used to determine the branch to be kept and the branch to be closed, thereby controlling the measurement switch of the branch to be kept to be closed, and the measurement switch of the branch to be closed to be opened, so that the branch that does not cause negative impact on the circuit still works, thereby improving the control accuracy of the measurement switch;

[0087] 2. By analyzing the circuit branch detection parameters and the appliance fluctuation current, the current matching item is determined, then the power stability coefficient is analyzed to determine the stability item, and finally the circuit branch detection parameters and the commonly used branch label are analyzed to determine the branch matching item, thereby obtaining the branch appliance identification score by weighting and summing the current matching item, the stability item, the branch matching item, and the preset identification weight coefficient, and when it is determined that the branch appliance identification score exceeds the preset appliance identification threshold value, the branch possible equipment is defined as the branch use equipment, thereby improving the accuracy of determining the branch use equipment;

[0088] 3. By modifying the branch basic use score with the dynamic adjustment factor and the scene correction coefficient to obtain the branch priority use score, on the one hand, the priority of the branch where the user is located is improved, and the sensitivity of the branch to time is improved, on the other hand, the score of the low-priority branch is reduced, and the branch where the energy-consuming appliance is located is encouraged. BRIEF DESCRIPTION OF DRAWINGS

[0089] Figure 1 is a flowchart of the measurement switch control method based on edge computing in the embodiment of the present application.

[0090] Figure 2 is a flowchart of the step of analyzing the circuit branch detection parameters to determine the threshold value tolerance time in the embodiment of the present application.

[0091] Figure 3 is a flowchart of the step of analyzing the circuit branch detection parameters to determine the branch use equipment in the embodiment of the present application.

[0092] Figure 4 is a flowchart of the step of analyzing the branch tolerance time to determine the threshold value tolerance time in the embodiment of the present application.

[0093] Figure 5is a flow chart of the step of analyzing the circuit branch detection parameters to determine the branch priority use score in the embodiment of the present application.

[0094] Figure 6 is a flow chart of the step of analyzing the branch base use score to determine the branch priority use score in the embodiment of the present application.

[0095] Figure 7 is a flow chart of the step of obtaining the dynamic adjustment factor in the embodiment of the present application.

[0096] Figure 8 is a flow chart of the step of analyzing the circuit branch detection parameters to determine the scene correction coefficient in the embodiment of the present application. DETAILED DESCRIPTION

[0097] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not intended to limit the present application. Figures 1 to 8 DETAILED DESCRIPTION

[0098] The embodiment of the present application discloses a measurement switch control method based on edge computing, specifically discloses a measurement switch and a processing terminal, the processing terminal is in communication connection with the measurement switch to realize data interaction and control, after the measurement switch detects the current detection parameter of the household circuit, the current detection parameter is sent to the processing terminal, the processing terminal compares the circuit detection parameter with the preset circuit parameter threshold value, when it is determined that the circuit detection parameter does not exceed the preset circuit parameter threshold value, the measurement switch continues to detect the circuit detection parameter, and when it exceeds, the processing terminal controls the measurement switch on the circuit branch to detect the circuit branch detection parameter, and after analyzing the circuit branch detection parameter, the threshold value tolerance time exceeding is determined, after the threshold value tolerance time exceeding, the measurement switch detects the stable circuit parameter again, if the stable circuit parameter does not exceed the preset circuit parameter threshold value, it indicates that the abnormal household circuit is the transient overload caused by equipment starting, and the circuit does not need to be disconnected, therefore the measurement switch continues to detect the circuit detection parameter, and when it exceeds, it indicates that the household circuit is overloaded, therefore the circuit branch detection parameter is analyzed to determine the branch priority use score of the circuit branch, so as to select the remaining branch and the closed branch according to the branch priority use score, finally the measurement switch of the remaining branch is controlled to continue to close, and the measurement switch of the closed branch is controlled to open, so as to ensure the safety of the household circuit and the use of the household circuit, and further improve the control accuracy of the measurement switch.

[0099] With reference to Figure 1 , the embodiment of the present application discloses a measurement switch control method based on edge computing, comprising the following steps:

[0100] Step S100: Obtain circuit detection parameters of a preset home circuit.

[0101] The circuit detection parameters refer to circuit parameters in a main circuit of the home circuit, including current, voltage, and power parameters, which are detected by a measurement switch installed on the main circuit and sent to a processing terminal.

[0102] Step S101: Determine whether the circuit detection parameters meet the requirements of a preset circuit parameter threshold.

[0103] The preset circuit parameter threshold refers to the maximum current parameter, voltage parameter, and power parameter that the main circuit can withstand, and the specific value is determined by an operator according to the line condition of the main circuit. The requirement of the preset circuit parameter threshold refers to not greater than the circuit parameter corresponding to the preset circuit parameter threshold.

[0104] The processing terminal determines whether any of the circuit parameters in the circuit detection parameters is not greater than the circuit parameter corresponding to the preset circuit parameter threshold, thereby determining whether an overload condition occurs in the home circuit.

[0105] Step S1011: If yes, continue to obtain the circuit detection parameters of the home circuit for cyclic determination.

[0106] If the processing terminal determines that any of the circuit parameters in the circuit detection parameters is not greater than the circuit parameter corresponding to the preset circuit parameter threshold, it indicates that no overload condition occurs in the home circuit. Therefore, the measurement switch continues to collect the circuit detection parameters of the home circuit, thereby continuously monitoring the change of the circuit parameters in the home circuit.

[0107] Step S1012: If no, obtain circuit branch detection parameters.

[0108] If the processing terminal determines that any of the circuit parameters in the circuit detection parameters is greater than the circuit parameter corresponding to the preset circuit parameter threshold, it indicates that an overload condition occurs in the home circuit. Therefore, the circuit branch detection parameters are detected to determine whether the overload of the home circuit is caused by a transient overload due to sudden start of a device.

[0109] The circuit branch detection parameters refer to circuit parameters on different branches of the home circuit, including current, voltage, and power parameters, which are detected by a measurement switch installed on the circuit branch and sent to a processing terminal.

[0110] Step S102: Analyze the circuit branch detection parameters to determine a threshold tolerance time.

[0111] The exceeding threshold tolerance time refers to a length of time that can tolerate overload under the condition that the circuit parameter exceeds the threshold, and is used to reserve a time margin for the recovery of the device to the stable state caused by the instantaneous overload. The specific method is determined by the processing terminal after analyzing the circuit branch detection parameter, and the specific method is referred to Figure 2 .

[0112] Step S103: obtaining the stable circuit parameter of the home circuit based on the exceeding threshold tolerance time.

[0113] The stable circuit parameter refers to the circuit parameter of the main circuit on the home circuit, including voltage, current and power parameters, which are detected by the measurement switch after the exceeding threshold tolerance time and sent to the processing terminal.

[0114] Step S104: determining whether the stable circuit parameter meets the requirements of the preset circuit parameter threshold.

[0115] The processing terminal determines whether any one of the stable circuit parameters is greater than the corresponding circuit parameter of the preset circuit parameter threshold, so as to determine whether the overload of the home circuit is recovered.

[0116] Step S1041: if yes, continue to obtain the circuit detection parameter of the home circuit for cyclic judgment.

[0117] If the processing terminal determines that any one of the stable circuit parameters is not greater than the corresponding circuit parameter of the preset circuit parameter threshold, it indicates that the overload of the home circuit is caused by the instantaneous overload of the device startup, and the subsequent home circuit recovers to the stable state, so the measurement switch does not need to be disconnected, and the measurement switch continues to collect the circuit detection parameter of the home circuit, so as to continuously monitor the change of the circuit parameter in the home circuit.

[0118] Step S1042: if no, analyze the circuit branch detection parameter to determine the branch priority use score.

[0119] If the processing terminal determines that any one of the circuit parameters is greater than the corresponding circuit parameter of the preset circuit parameter threshold, it indicates that the overload of the home circuit is caused by the operation of multiple devices, so part of the branch needs to be disconnected, so as to ensure the safety of the home circuit and the normal use of the circuit. Therefore, the branch priority use score is obtained after analyzing the circuit branch detection parameter, which provides data support for subsequent determination of the branch to be used and the branch to be disconnected.

[0120] The branch priority use score refers to the score of the priority of different branches in use, which is determined by the processing terminal after analyzing the circuit branch detection parameter. The higher the branch priority use score is, the higher the priority of the branch in use is. The specific method is referred toFigure 5 The steps.

[0121] Step S105: Analyze the branch priority using fractions to determine which branches to keep and which to close.

[0122] Among them, "keep branch" refers to a branch in the household circuit that is retained for continued use, and "close branch" refers to a branch in the household circuit that is disconnected from use. The processing terminal prioritizes all branches and sorts them from high to low scores, thereby selecting the corresponding branch one by one. If the sum of the circuit parameters of the branch does not exceed the preset circuit parameter threshold, the selected branch is defined as a "keep branch". Once it exceeds the threshold, the currently selected branch and the unselected branches are all defined as "closed branches".

[0123] Step S106: Control the measurement switch of the holding branch to be closed, and control the measurement switch of the closing branch to be open.

[0124] Specifically, after determining the holding branch and the closing branch, the processing terminal controls the measuring switch on the holding branch to remain closed, thereby ensuring the normal use of household appliances on the holding branch, and controls the measuring switch on the closing branch to open, thereby stopping the use of the closing branch and ensuring the safety of the household circuit.

[0125] Reference Figure 2 The steps for analyzing the circuit branch detection parameters to determine the tolerance time exceeding the threshold include:

[0126] Step S200: Analyze the circuit branch detection parameters to determine the equipment used in the branch and the equipment weight coefficient.

[0127] Among them, the equipment used in a branch refers to the equipment used in different branches, which is determined by the processing terminal after analyzing the detection parameters of the circuit branches. The specific method is as follows: Figure 3 The steps.

[0128] The equipment weighting coefficient refers to the proportion of the tolerance time of the equipment used in the branch in the tolerance time exceeding the threshold. It is obtained by the processing terminal calculating the quotient between the current of the equipment used in the branch and the total current of the circuit branch detection parameters.

[0129] Step S201: Analyze the equipment used in the branch to determine the equipment cycle coefficient.

[0130] The equipment cycle coefficient is a coefficient that indicates whether the equipment used in the branch is a periodic appliance. It is obtained by the processing terminal after analyzing the equipment used in the branch. The specific analysis method is as follows: if the equipment used in the branch is a periodic appliance, such as a refrigerator, the equipment cycle coefficient is 1; if the equipment used in the branch is a non-periodic appliance, such as a barbecue grill, the equipment cycle coefficient is 0.

[0131] Step S202: determining the start tolerance time and the overload tolerance time according to the branch use equipment and the preset electrical appliance tolerance time relationship.

[0132] The preset electrical appliance tolerance time relationship refers to the corresponding relationship between different electrical appliances and tolerance time, and the tolerance time includes the start tolerance time and the overload tolerance time. The electrical appliances are one-to-one corresponding to the start time and the overload tolerance time of the electrical appliances to form a mapping table by the operator.

[0133] The start tolerance time refers to the tolerance time of the equipment when the equipment starts overload, for example, the air conditioner needs 3 seconds to start, and the start tolerance time is 3 seconds. The overload tolerance time refers to the tolerance time of the equipment when the equipment is periodically overloaded, for example, the overload time of the refrigerator compressor is 10 seconds, and the overload tolerance time is 10 seconds, which is obtained by the processing terminal according to the mapping table corresponding to the branch use equipment in the preset electrical appliance tolerance time relationship.

[0134] Step S203: analyzing the start tolerance time, the overload tolerance time, the equipment period coefficient and the equipment weight coefficient to determine the branch tolerance time.

[0135] The branch tolerance time refers to the tolerance time of different branches. The period tolerance time of the equipment is obtained by multiplying the overload tolerance time and the equipment period coefficient. The total tolerance time is obtained by calculating the sum of the start tolerance time and the period tolerance time. Finally, the tolerance time of the equipment in the branch is obtained by calculating the product of the total tolerance time and the equipment weight coefficient. Thus, the branch tolerance time is obtained by adding the tolerance time of all the equipment in the branch.

[0136] Step S204: analyzing the branch tolerance time to determine the threshold tolerance time.

[0137] The threshold tolerance time in this step is consistent with the threshold tolerance time in step S102, which is determined by the processing terminal after analyzing the branch tolerance time of all the branches. For details, refer to the steps of Figure 4

[0138] Referring to Figure 3 , the step of analyzing the circuit branch detection parameter to determine the branch use equipment includes:

[0139] Step S300: obtaining the branch possible equipment.

[0140] The branch possible equipment refers to the equipment that can be connected to the branch, which is defined by the operator for different branches, for example, the kitchen branch is connected to the kitchen electrical appliance, and the defined equipment for the branch is stored in the processing terminal. The corresponding defined equipment is obtained by the processing terminal according to the corresponding branch in the circuit branch detection parameter.

[0141] ​Step S301: Determine the appliance fluctuation current, power stability coefficient and common branch label according to the branch possible equipment and the preset appliance characteristic parameter library.

[0142] The preset appliance characteristic parameter library refers to the corresponding relationship between different appliances and circuit characteristic parameters, including fluctuation current, power stability coefficient and common branch label. For example, the standard current of an appliance is 1A, and the fluctuation coefficient of the current when starting is 3, so the fluctuation current is the product of the standard current and the fluctuation coefficient, the power stability coefficient is the power fluctuation amplitude when the appliance is running, and the common branch label is the branch to which the appliance is frequently connected. An operation personnel forms a mapping table by corresponding the appliance and the circuit characteristic parameters one by one.

[0143] The appliance fluctuation current refers to the fluctuation current when the appliance starts, the power stability coefficient refers to the power fluctuation amplitude when the appliance is running, and the common branch label refers to the branch to which the appliance is frequently connected. The processing terminal finds it in the mapping table corresponding to the preset appliance characteristic parameter library according to the branch possible equipment.

[0144] Step S302: Analyze the circuit branch detection parameters and the appliance fluctuation current to determine the current matching item.

[0145] The current matching item refers to the similarity between the appliance current and the corresponding current of the circuit branch detection parameters. The processing terminal calculates the similarity between the appliance fluctuation current and the corresponding current of the circuit branch detection parameters using the Pearson correlation coefficient. The closer the similarity is to 1, the more matched the current waveform is.

[0146] Step S303: Analyze the power stability coefficient to determine the stability item.

[0147] The stability item refers to an item used to distinguish between appliances with strong fluctuation and appliances with weak fluctuation. The processing terminal calculates the difference between 1 and the power stability coefficient. The more stable the power is, the higher the score of the stability item is.

[0148] Step S304: Analyze the circuit branch detection parameters and the common branch label to determine the branch matching item.

[0149] The branch matching item refers to an item used to determine whether the appliance matches the branch. If the common branch label is inconsistent with the branch corresponding to the circuit branch detection parameters, the branch matching item is 0. If they are consistent, the branch matching item is 1.

[0150] Step S305: Analyze the current matching item, the stability item, the branch matching item and the preset recognition weight coefficient to determine the branch appliance recognition score.

[0151] The preset identification weight coefficient refers to the importance of the current matching item, the stability item and the branch matching item in branch electrical appliance identification, including a current weight, a stability weight and a branch weight, which are determined by an operator according to actual conditions, if more attention is paid to current waveform matching, the current weight is increased, if high-power stability electrical appliances need to be identified preferentially, the stability weight is increased, and if the household circuit design is clear, the branch weight is increased.

[0152] The branch electrical appliance identification score refers to an identification score of the electrical appliance in the branch, which is obtained by the processing terminal by weighting and summing the current weight, the stability weight and the branch weight in the current matching item, the stability item, the branch matching item and the preset identification weight coefficient.

[0153] Step S306: determining whether the branch electrical appliance identification score meets the requirement of the preset electrical appliance identification threshold.

[0154] The preset electrical appliance identification threshold refers to the minimum identification score of the electrical appliance in the branch, and in the embodiment of the application, 0.7 is taken as an example, and the requirement of the preset electrical appliance identification threshold refers to not being lower than the preset electrical appliance identification threshold.

[0155] The processing terminal determines whether the branch electrical appliance identification score is not lower than the preset electrical appliance identification threshold, so as to determine whether the branch possible device is connected in the branch.

[0156] Step S3061: if not, the branch possible device is removed.

[0157] If the processing terminal determines that the branch electrical appliance identification score is lower than the preset electrical appliance identification threshold, it indicates that the branch possible device is not connected in the branch, and therefore the branch possible device is removed.

[0158] Step S3062: if yes, the branch possible device is defined as a branch use device.

[0159] If the processing terminal determines that the branch electrical appliance identification score is not lower than the preset electrical appliance identification threshold, it indicates that the branch possible device is connected in the branch, and therefore the branch possible device is defined as a branch use device.

[0160] Reference Figure 4 The step of analyzing the branch tolerance time to determine the threshold tolerance time includes:

[0161] Step S400: analyzing the circuit branch detection parameter and the preset branch circuit threshold to determine a time correction coefficient and a risk correction coefficient.

[0162] The branch circuit threshold refers to a current threshold and a power threshold on the branch, and the specific value is determined by an operator according to actual conditions.

[0163] The time correction coefficient is a coefficient for avoiding long overload time correction. The difference between the current in the branch detection parameter and the current in the branch circuit threshold is calculated by the processing terminal calculation circuit, and then the quotient of the difference and the current in the branch circuit threshold is calculated. The higher the branch current, the shorter the corrected tolerance time.

[0164] The risk correction coefficient is a coefficient for reducing branch risk correction. The power density is obtained by calculating the quotient between the power in the branch detection parameter and the volume of the branch use device, and then the maximum power density in the branch circuit threshold is called to calculate the quotient of the power density and the maximum power density, thereby obtaining the risk correction coefficient. The higher the power density, the shorter the corrected tolerance time.

[0165] Step S401: Analyze the branch tolerance time, time correction coefficient and risk correction coefficient to determine the branch corrected tolerance time.

[0166] The branch corrected tolerance time is the branch tolerance time corrected considering the overload time and the power density. The processing terminal compares the time correction coefficient with 1 and selects the minimum value of the two. Then the difference between 1 and the minimum value is calculated to obtain a first difference value, and the difference between 1 and the risk correction coefficient is calculated to obtain a second difference value. Finally, the branch corrected tolerance time is obtained by multiplying the branch tolerance time by the first difference value by the second difference value.

[0167] Step S402: Obtain the importance weight of the branch use device and the simultaneous use necessity.

[0168] The importance weight is the importance coefficient of different electrical appliances, which is defined by the operator and stored in the processing terminal. For example, the medical device is 1, the refrigerator is 0.8, the electric heater is 0.3, etc. The corresponding importance coefficient is called by the processing terminal according to the branch use device.

[0169] The simultaneous use necessity is the necessity of two electrical appliances to be used simultaneously. The processing terminal queues the devices in the branch use device two by two to analyze whether they need to work together. If they need to work together, the simultaneous use necessity is 1, otherwise it is 0.5.

[0170] Step S403: Analyze the importance weight and the simultaneous use necessity to determine the branch key coefficient.

[0171] The branch key coefficient is the irreplaceability and safety priority of the branch electrical appliance. The processing terminal calculates the product of the importance weight and the simultaneous use necessity of the branch use device, and then adds all the products to obtain the branch key coefficient.

[0172] Step S404: Analyze the branch key coefficient to determine the maximum branch key coefficient.

[0173] The maximum branch critical coefficient is the largest branch critical coefficient in all branches, and the processing terminal sorts the branch critical coefficients from large to small and selects the largest branch critical coefficient as the maximum branch critical coefficient.

[0174] Step S405: Analyze the branch corrected tolerance time, the branch critical coefficient, and the maximum branch critical coefficient to determine the threshold tolerance time.

[0175] The threshold tolerance time in this step is consistent with the threshold tolerance time in step S204. The processing terminal calculates the reciprocal of different branch critical coefficients, then calculates the product of the branch corrected tolerance time and different reciprocals, selects the minimum product, and finally calculates the product of the minimum product and the maximum branch critical coefficient to obtain the threshold tolerance time. The safety of the highest critical coefficient branch needs to be prioritized, and its corrected tolerance time cannot be exceeded, so the minimum corrected tolerance time weighted by the critical coefficient is used as the core, and the maximum critical coefficient is multiplied to restore the result to a reasonable time order to avoid too small time.

[0176] Reference Figure 5 The step of analyzing the circuit branch detection parameters to determine the branch priority use score includes:

[0177] Step S500: Analyze the circuit branch detection parameters and the preset branch circuit threshold to determine the branch running electrical appliance, the number of running electrical appliances, and the branch load rate.

[0178] The branch circuit threshold in this step is consistent with the branch circuit threshold in step S400, which will not be described here.

[0179] The branch running electrical appliance refers to the electrical appliance running in the branch. The specific acquisition method is consistent with the logic of determining the branch use equipment in Figure 3 The number of running electrical appliances is the number of branch running electrical appliances, which is obtained by counting the identified branch running electrical appliances by the processing terminal. The branch load rate refers to the current load rate of the branch, which is obtained by the processing terminal by calculating the quotient of the power in the circuit branch detection parameters and the maximum power corresponding to the branch circuit threshold.

[0180] Step S501: Analyze the branch running electrical appliance to determine the custom priority score and the electrical appliance necessary coefficient.

[0181] The custom priority score refers to the user's definition score of the priority of the electrical appliance. The operation personnel form a mapping table by one-to-one correspondence between the electrical appliance and the priority score and store it in the processing terminal, for example, the medical device is 10, and the table lamp is 1. The processing terminal obtains it by looking up the mapping table according to the branch running electrical appliance.

[0182] The appliance necessary coefficient refers to an appliance necessity coefficient. The operation personnel form a mapping table by corresponding the appliances with the necessary coefficient. If it is a necessary appliance, the appliance necessary coefficient is 1, and if it is not necessary, the appliance necessary coefficient is 0. The processing terminal finds the necessary coefficient in the mapping table according to the branch running appliance.

[0183] Step S502: The number of running appliances and the preset threshold of the number of branch appliances are analyzed to determine the branch load density.

[0184] The preset threshold of the number of branch appliances refers to the maximum number of appliances that can be connected to the branch, which is determined by the operation personnel according to the actual situation.

[0185] The branch load density refers to a coefficient reflecting the number of appliances connected to the branch. The processing terminal calculates the quotient of the number of running appliances and the preset threshold of the number of branch appliances.

[0186] Step S503: The self-defined priority score, the branch load density, the appliance necessary coefficient, the branch load rate, and the preset branch adjustment weight coefficient are analyzed to determine the branch basic use score.

[0187] The branch adjustment weight refers to the importance of the self-defined priority, the branch load density, the appliance necessity, and the branch load rate in the branch use score. The specific value is dynamically adjusted by the operation personnel according to habit.

[0188] The branch basic use score refers to the use priority score of the branch. The processing terminal calculates the first product of the self-defined priority score and the self-defined priority weight in the preset branch adjustment weight coefficient, the second product of the branch load density and the branch load density weight in the preset branch adjustment weight coefficient, the third product of the appliance necessary coefficient and the appliance necessity weight in the preset branch adjustment weight coefficient, and the fourth product of the branch load rate and the branch load rate weight in the preset branch adjustment weight coefficient. Then, the sum of the first product, the second product, and the third product is calculated, and the fourth product is subtracted to obtain the branch basic use score. Thus, the more important the appliance on the branch is, the higher the score is, and the higher the load is, the more points are deducted.

[0189] Step S504: The branch basic use score is analyzed to determine the branch priority use score.

[0190] The branch priority use score in this step is consistent with the branch priority use score in step S1042. The branch priority use score is obtained by modifying the branch basic use score by the processing terminal. For details, refer to the steps of Figure 6

[0191] Refer to Figure 6 , the step of analyzing the branch basic use score to determine the branch priority use score includes: ​

[0192] Step S600: Obtain a dynamic adjustment factor.

[0193] The dynamic adjustment factor refers to the influence coefficient of the user state and time on the branch priority use score. The specific obtaining method is referred to the steps of Figure 7 .

[0194] Step S601: Analyze the circuit branch detection parameters to determine a scene correction coefficient.

[0195] The scene correction coefficient refers to the influence coefficient of the branch power and the mutual exclusion relationship between branches on the branch use score. It is determined by the processing terminal after analyzing the circuit branch detection parameters. The specific method is referred to the steps of Figure 8 .

[0196] Step S602: Analyze the branch basic use score, the dynamic adjustment factor, and the scene correction coefficient to determine the branch priority use score.

[0197] The branch priority use score in this step is consistent with the branch priority use score in step S504. It is obtained by the processing terminal calculating the product of the branch basic use score, the dynamic adjustment factor, and the scene correction coefficient.

[0198] Referring to Figure 7 , the step of obtaining the dynamic adjustment factor includes:

[0199] Step S700: Obtain the branch user state based on the circuit branch detection parameters.

[0200] The branch user state refers to the state of the user in the area where the branch is located. It is determined by the processing terminal through the infrared sensor, intelligent door lock, or mobile phone positioning to determine whether the user is in the branch area corresponding to the circuit branch detection parameters, including the user being in the area, the user leaving the area for more than ten minutes, and the user leaving the area for more than one hour.

[0201] Step S701: Determine the user presence state factor according to the branch user state and the preset branch state factor relationship.

[0202] The branch state factor refers to the corresponding relationship between the user state and the state factor. For example, if the user is in the area, the state factor is 1, if the user leaves the area for more than ten minutes, the state factor is 0.7, and if the user leaves the area for more than one hour, the state factor is 0.5. The user state and the state factor are one-to-one corresponding to form a mapping table by the operator.

[0203] The user presence state factor refers to the influence coefficient of the user state on the priority. It is obtained by the processing terminal according to the mapping table corresponding to the preset branch state factor relationship of the branch user state.

[0204] Step S702: Obtain branch usage time.

[0205] The branch usage time refers to the specific time and date of branch usage, which is identified by the processing terminal according to the calendar.

[0206] Step S703: Determine the time period adjustment coefficient and the date adjustment coefficient according to the branch usage time and the preset usage time adjustment relationship.

[0207] The preset usage time adjustment relationship refers to the corresponding relationship between the usage time and the time period adjustment coefficient and the date adjustment coefficient, for example, 0.8 is taken from 10 pm to 6 am, 0.3 is taken during the day, 1 is taken during the peak electricity consumption, 0.5 is taken on weekends, and 0.3 is taken on weekdays, so as to ensure that the more important the usage time is, the higher the score is. The operation personnel forms a mapping table by corresponding the usage time with the time period adjustment coefficient and the date adjustment coefficient.

[0208] The time period adjustment coefficient refers to the coefficient of the time period in the time sensitive factor, and the date adjustment coefficient refers to the coefficient of the date in the time sensitive factor, which are found by the processing terminal in the mapping table corresponding to the preset usage time adjustment relationship according to the branch usage time.

[0209] Step S704: Analyze the time period adjustment coefficient, the date adjustment coefficient, and the preset time sensitive weight coefficient to determine the time sensitive factor.

[0210] The preset time sensitive weight coefficient refers to the weight of the time period and the date in the time sensitive factor, and the specific value is determined by the operation personnel according to the actual situation.

[0211] The time sensitive factor refers to the influence coefficient of time on the usage score, which is obtained by the processing terminal by weighting and summing the time period adjustment coefficient, the date adjustment coefficient, and the preset time sensitive weight coefficient and then adding 1.

[0212] Step S705: Analyze the user presence state factor, the time sensitive factor, and the preset scene weight coefficient to determine the dynamic adjustment factor.

[0213] The preset scene weight coefficient refers to the weight of the state and the time in the dynamic adjustment factor, and the specific value is determined by the operation personnel according to the actual situation.

[0214] The dynamic adjustment factor in this step is consistent with the dynamic adjustment factor in step S600, and the processing terminal calculates the sum of the two exponential function values by taking the user presence state factor and the time sensitive factor as the base and the weight corresponding to the preset scene weight coefficient as the exponent.

[0215] Reference Figure 8The step of analyzing the circuit branch detection parameters to determine the scene correction coefficient comprises:

[0216] Step S800: Obtain an average energy efficiency level of the branch operating electrical appliance.

[0217] The average energy efficiency level refers to an average of energy efficiency levels of the branch operating electrical appliance, and the average is obtained by the processing terminal identifying the energy efficiency level of the branch operating electrical appliance and calculating the average.

[0218] Step S801: Analyze the average energy efficiency level, the preset maximum energy consumption level, and the preset energy consumption influence coefficient to determine an energy consumption correction coefficient.

[0219] The maximum energy consumption level refers to the maximum energy consumption level of the electrical appliance, which is usually 5. The preset energy consumption influence coefficient refers to the influence of energy efficiency on the energy consumption correction coefficient, and 0.1 is taken as an example in the embodiment of the application.

[0220] The energy consumption correction coefficient refers to a correction coefficient of energy consumption to the use score, which is obtained by the processing terminal calculating the difference between the maximum energy consumption level and the average energy efficiency level, multiplying the preset energy consumption influence coefficient to obtain the energy efficiency influence coefficient, and finally calculating the sum of 1 and the energy efficiency influence coefficient to obtain the energy consumption correction coefficient.

[0221] Step S802: Analyze the circuit branch detection parameters to determine the first mutual exclusion circuit and the second mutual exclusion circuit.

[0222] The first mutual exclusion circuit refers to a branch in the circuit branch detection parameters that has a mutual exclusion relationship with other branch electrical appliances, and the processing terminal identifies the power of the electrical appliance in one branch in the circuit branch detection parameters, and adds the power of the electrical appliance in another branch. If the sum of the powers exceeds a threshold value, the branch is determined to be the first mutual exclusion circuit, thereby avoiding the power being too high when two branches with high priority are used at the same time. The second mutual exclusion circuit refers to a circuit that has a mutual exclusion relationship with the first mutual exclusion circuit.

[0223] Step S803: Analyze the first mutual exclusion circuit, the second mutual exclusion circuit, and the branch basic use score to determine the lowest use score and the highest use score.

[0224] The lowest use score refers to the lower score of the use scores of the first mutual exclusion circuit and the second mutual exclusion circuit, and the highest use score refers to the higher score of the use scores of the first mutual exclusion circuit and the second mutual exclusion circuit. The processing terminal identifies the scores of the first mutual exclusion circuit and the second mutual exclusion circuit in the branch basic use score, and then compares the scores to determine the higher score as the highest use score and the lower score as the lowest use score.

[0225] Step S804: Analyze the lowest use score, the highest use score, and the preset correction intensity coefficient to determine a load mutual exclusion correction coefficient.

[0226] The preset correction intensity coefficient refers to the correction intensity of the load mutual exclusion correction coefficient using the score, and the greater the value, the more aggressive the correction. In the embodiment of the application, 0.2 is taken as an example.

[0227] The load mutual exclusion correction coefficient refers to the correction coefficient of the score using the score when there is branch mutual exclusion. The quotient of the lowest score and the highest score is calculated by the processing terminal, and then multiplied by the preset correction intensity coefficient to obtain a product. The load mutual exclusion correction coefficient is obtained by subtracting 1 from the product. The core goal of the load mutual exclusion correction is to identify and avoid the situation that the priority is high but the power exceeds the threshold in the priority calculation in advance. By reducing the score of the low-priority branch, other branches with lower power can occupy a higher priority, thereby ensuring that more branches can be used.

[0228] Step S805: Analyzing the energy consumption correction coefficient and the load mutual exclusion correction coefficient to determine the scene correction coefficient.

[0229] The scene correction coefficient in this step is consistent with the scene correction coefficient in step S601, and the product of the energy consumption correction coefficient and the load mutual exclusion correction coefficient is calculated by the processing terminal.

[0230] Based on the same inventive concept, the embodiment of the application provides a measurement switch control system based on edge computing, comprising:

[0231] An acquisition module is configured to acquire circuit detection parameters and circuit branch detection parameters.

[0232] A first judgment module is configured to judge whether the circuit detection parameters meet the requirements of the preset circuit parameter threshold value. If yes, the circuit detection parameters of the household circuit are continuously acquired for cyclic judgment. If no, the circuit branch detection parameters are acquired.

[0233] A first processing module is configured to analyze the circuit branch detection parameters to determine the threshold tolerance time. Based on the threshold tolerance time, the stable circuit parameters of the household circuit are acquired.

[0234] A second judgment module is configured to judge whether the stable circuit parameters meet the requirements of the preset circuit parameter threshold value. If yes, the circuit detection parameters of the household circuit are continuously acquired for cyclic judgment. If no, the circuit branch detection parameters are analyzed to determine the branch priority use score.

[0235] A second processing module is configured to analyze the branch priority use score to determine the keep branch and the closed branch. The measurement switch of the keep branch is controlled to be closed, and the measurement switch of the closed branch is controlled to be opened.

[0236] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is exemplified, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0237] Based on the same inventive concept, the embodiment of the present application provides a measurement switch, and applies the measurement switch control method based on edge computing.

[0238] The embodiment of the present application provides a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor to execute the measurement switch control method based on edge computing.

[0239] The computer storage medium includes, for example, a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.

[0240] Based on the same inventive concept, the embodiment of the present application provides a smart terminal, which includes a memory and a processor, and the memory stores a computer program capable of being loaded and executed by the processor to execute the measurement switch control method based on edge computing.

[0241] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is exemplified, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0242] The above are the preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in the specification (including the abstract and the drawings) can be replaced by other equivalent or similar features, unless specifically stated. That is, each feature is only an example of a series of equivalent or similar features.

Claims

1. A metrology switch control method based on edge computing, characterized in that, include: Obtain circuit detection parameters for a preset household circuit; Determine whether the circuit detection parameters meet the preset circuit parameter threshold requirements; If the condition is met, continue to obtain the circuit detection parameters of the household circuit for repeated judgment; If it does not meet the requirements, obtain the circuit branch detection parameters and possible devices for the branch; Based on the possible equipment in the branch and the preset electrical characteristic parameter library, determine the electrical fluctuation current, power stability coefficient and commonly used branch labels; Analyze the circuit branch detection parameters and electrical appliance fluctuation current to determine the current matching terms; The power stability coefficient is analyzed to determine the stability terms; Analyze the circuit branch detection parameters and commonly used branch labels to determine the branch matching items; The current matching term, stability term, branch matching term, and preset identification weight coefficients are analyzed to determine the identification score of branch electrical appliances; Determine whether the branch circuit appliance identification score meets the preset appliance identification threshold requirements; If it does not meet the requirements, the branch line may be eliminated; If the conditions are met, the possible equipment of the branch is defined as the equipment used by the branch; Calculate the quotient of the rated current of the equipment used in the branch and the total current corresponding to the detection parameters of the circuit branch to determine the equipment weighting coefficient; Analyze the equipment used in the branch lines to determine the equipment cycle coefficient; The start-up tolerance time and overload tolerance time are determined based on the relationship between the equipment used in the branch circuit and the preset electrical tolerance time. The start-up tolerance time, overload tolerance time, equipment cycle coefficient, and equipment weight coefficient are analyzed to determine the branch tolerance time. The circuit branch detection parameters and preset branch circuit thresholds are analyzed to determine the time correction coefficient and risk correction coefficient. The tolerance time, time correction factor, and risk correction factor of the branch are analyzed to determine the correction tolerance time of the branch; Obtain the importance weight of the equipment used in the branch and the necessity of using it simultaneously; The importance weights and the necessity of simultaneous use are analyzed to determine the criticality coefficients of the branches; Analyze the criticality coefficients of branch roads to determine the maximum criticality coefficient of a branch road; The tolerance time for branch correction, the criticality coefficient of the branch, and the criticality coefficient of the maximum branch are analyzed to determine the tolerance time for exceeding the threshold. Stable circuit parameters of household circuits are obtained based on the tolerance time exceeding the threshold. Determine whether the stable circuit parameters meet the preset circuit parameter threshold requirements; If the condition is met, continue to obtain the circuit detection parameters of the household circuit for repeated judgment; If it does not meet the requirements, the circuit branch detection parameters are analyzed to determine the branch priority score. Branch priority is analyzed using fractions to determine which branches to keep and which to close. Control the measurement switch of the holding branch to be closed, and control the measurement switch of the closing branch to be open. 2.The edge computing based metrology switch control method of claim 1, wherein, The steps for analyzing circuit branch detection parameters to determine the branch priority usage fraction include: The circuit branch detection parameters and preset branch circuit thresholds are analyzed to determine the operating appliances, the number of operating appliances, and the branch load rate. Analyze the electrical appliances operating in the branch circuit to determine the custom priority score and the appliance requirement coefficient; The number of operating electrical appliances and the preset threshold for the number of branch electrical appliances are analyzed to determine the branch load density; The basic usage score of a branch is determined by analyzing the custom priority score, branch load density, appliance necessity coefficient, branch load rate, and preset branch adjustment weight coefficient. The scores used for branch road infrastructure are analyzed to determine the priority scores for branch road use. 3.The edge computing based metrology switch control method of claim 2, wherein, The steps for analyzing the basic usage scores of branch roads to determine the priority usage scores for branch roads include: Obtain the dynamic adjustment factor; Analyze the detection parameters of the circuit branches to determine the scene correction coefficients; The branch road basic usage score, dynamic adjustment factor and scenario correction coefficient are analyzed to determine the branch road priority usage score.

4. The measurement switch control method based on edge computing according to claim 3, characterized in that, The steps to obtain the dynamic adjustment factor include: Obtain the user status of the branch based on the branch detection parameters of the circuit; The user presence status factor is determined based on the relationship between the branch user status and the preset branch status factor. Get the branch usage time; The time period adjustment coefficient and date adjustment coefficient are determined based on the branch road usage time and the preset usage time adjustment relationship; The time period adjustment coefficient, date adjustment coefficient, and preset time-sensitive weight coefficient are analyzed to determine the time-sensitive factor; The system analyzes user presence status factors, time-sensitive factors, and preset scene weight coefficients to determine dynamic adjustment factors.

5. The measurement switch control method based on edge computing according to claim 3, characterized in that, The steps for analyzing circuit branch detection parameters to determine scene correction coefficients include: Obtain the average energy efficiency rating of the electrical appliances operating in the branch circuit; The average energy efficiency level, the preset maximum energy consumption level, and the preset energy consumption impact coefficient are analyzed to determine the energy consumption correction coefficient. The circuit branch detection parameters are analyzed to determine the first and second mutual exclusion circuits; The usage scores of the first mutual exclusion circuit, the second mutual exclusion circuit, and the branch foundation are analyzed to determine the minimum and maximum usage scores. The minimum usage score, the maximum usage score, and the preset correction strength coefficient are analyzed to determine the load mutual exclusion correction coefficient; The energy consumption correction factor and the load mutual exclusion correction factor are analyzed to determine the scenario correction factor.

6. A measurement switch control system based on edge computing, employing the measurement switch control method based on edge computing as described in any one of claims 1-5, characterized in that, include: The acquisition module is used to acquire circuit detection parameters and circuit branch detection parameters; The first judgment module is used to determine whether the circuit detection parameters meet the preset circuit parameter threshold requirements. If they meet the requirements, the circuit detection parameters of the household circuit are obtained for cyclic judgment. If they do not meet the requirements, the circuit branch detection parameters and possible devices of the branch are obtained. The first processing module is used to determine the electrical fluctuation current, power stability coefficient and common branch labels based on the possible devices in the branch and the preset electrical characteristic parameter library; Analyze the circuit branch detection parameters and electrical appliance fluctuation current to determine the current matching terms; The power stability coefficient is analyzed to determine the stability terms; Analyze the circuit branch detection parameters and commonly used branch labels to determine the branch matching items; The current matching term, stability term, branch matching term, and preset identification weight coefficients are analyzed to determine the identification score of branch electrical appliances; Determine whether the branch circuit appliance identification score meets the preset appliance identification threshold requirements; If it does not meet the requirements, the branch line may be eliminated; If the conditions are met, the possible equipment of the branch is defined as the equipment used by the branch; Calculate the quotient of the rated current of the equipment used in the branch and the total current corresponding to the detection parameters of the circuit branch to determine the equipment weighting coefficient; Analyze the equipment used in the branch lines to determine the equipment cycle coefficient; The start-up tolerance time and overload tolerance time are determined based on the relationship between the equipment used in the branch circuit and the preset electrical tolerance time. The start-up tolerance time, overload tolerance time, equipment cycle coefficient, and equipment weight coefficient are analyzed to determine the branch tolerance time. The circuit branch detection parameters and preset branch circuit thresholds are analyzed to determine the time correction coefficient and risk correction coefficient. The tolerance time, time correction factor, and risk correction factor of the branch are analyzed to determine the correction tolerance time of the branch; Obtain the importance weight of the equipment used in the branch and the necessity of using it simultaneously; The importance weights and the necessity of simultaneous use are analyzed to determine the criticality coefficients of the branches; Analyze the criticality coefficients of branch roads to determine the maximum criticality coefficient of a branch road; The tolerance time for branch correction, the criticality coefficient of the branch, and the criticality coefficient of the maximum branch are analyzed to determine the tolerance time for exceeding the threshold. Stable circuit parameters of household circuits are obtained based on the tolerance time exceeding the threshold. The second judgment module is used to determine whether the stable circuit parameters meet the preset circuit parameter threshold requirements. If they meet the requirements, the module continues to acquire the circuit detection parameters of the household circuit for cyclic judgment. If they do not meet the requirements, the module analyzes the circuit branch detection parameters to determine the branch priority score. The second processing module performs fractional analysis on the branches to determine which branches to keep and which to close; it controls the measurement switches of the branches to keep closed to close, and controls the measurement switches of the branches to close to open.

7. A measuring switch, characterized in that, The measurement switch control method based on edge computing as described in any one of claims 1 to 5 is applied.

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