Intelligent Electric Meter Adaptive Load Monitoring Method, Device, Equipment and Storage Medium

Abstract

The present invention relates to the technical field of power load control systems, and discloses an intelligent meter adaptive load monitoring method, device, equipment and storage medium. The method includes: obtaining a real-time current value based on the current mode of the intelligent meter; detecting whether the real-time current value is greater than a preset current threshold; if so, obtaining the tripping parameter of the intelligent meter, performing a switching-off action to disconnect the relay according to the tripping parameter, and then performing an accumulation process on the tripping times of the intelligent meter, and re-executing the step of obtaining the real-time current value of the intelligent meter; if not, obtaining the switching-on parameter of the intelligent meter, performing a switching-on action to close the relay according to the switching-on parameter, and then initializing the remaining time threshold between the last switching-on and the next tripping of the intelligent meter, and re-executing the step of obtaining the real-time current value of the intelligent meter. The present invention improves the demand capacity for diversified application scenarios of intelligent meter adaptive load monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of power load control systems, and particularly to an intelligent meter adaptive load monitoring method, device, equipment, and storage medium. Background Technique

[0002] The power load control system is a complete system integrating modern management, computer applications, automatic control, information, and other multi-disciplinary technologies, and realizing various functions such as power marketing monitoring, power marketing management, business meter reading, data collection, and network connection. With the development of the technology of the power load control system, higher requirements are put forward for the realization of diverse application scenarios of the load control function of intelligent meters. The load control function of traditional intelligent meters can be realized through the 71-class limiter function of Dlms (Distribution Line Message Specification) / Cosem (Companion Specification for Energy Metering). This method has great defects, not only with high maintenance costs, but also with relatively simple and single functions. Summary of the Invention

[0003] The main object of the present invention is to provide an intelligent meter adaptive load monitoring method, device, equipment, and storage medium, aiming to solve the technical problem of how to meet the diverse needs of customers for meter adaptive load monitoring.

[0004] To achieve the above object, the present invention provides an intelligent meter adaptive load monitoring method, including:

[0005] Obtaining the real-time current value of the intelligent meter based on the current mode of the intelligent meter;

[0006] Detecting whether the real-time current value is greater than a preset current threshold;

[0007] If so, obtaining the tripping parameter of the intelligent meter, performing a switching-off action to disconnect the relay according to the tripping parameter, and then performing an accumulation process on the number of trips of the intelligent meter, and re-executing the step of obtaining the real-time current value of the intelligent meter;

[0008] If not, obtaining the closing parameter of the intelligent meter, performing a closing action to close the relay according to the closing parameter, and initializing the remaining time threshold between the last closing and the next trip of the intelligent meter, and re-executing the step of obtaining the real-time current value of the intelligent meter.

[0009] Optionally, the tripping parameter includes the continuous operation time, and it is judged whether the intelligent meter is in a tripping state at the current moment;

[0010] If the smart meter is in the switched-on state at the current moment, the smart meter automatically counts the continuous operation time during which the real-time current value is greater than a preset current threshold according to the switched-on state.

[0011] Optionally, the tripping parameter further includes a final tripping state, and it is judged whether the continuous operation time is greater than a preset overload tripping judgment time;

[0012] If the continuous operation time is greater than the preset overload tripping judgment time, the state of the smart meter is adjusted from the switched-on state to the final tripping state.

[0013] Optionally, the tripping parameter further includes the current overlimit tripping times and a remaining time threshold, and the current overlimit tripping times of the smart meter are read;

[0014] It is judged whether the current overlimit tripping times are greater than or equal to the preset tripping times of the smart meter in the normal mode;

[0015] If the current overlimit tripping times are less than the preset tripping times, the historical switched-on time node closest to the current moment of the smart meter is determined, and the next tripping time node of the meter is determined;

[0016] The time difference between the historical switched-on time node and the next tripping time node is used as the remaining time threshold;

[0017] Optionally, it is detected whether the remaining time threshold is greater than a preset remaining time threshold;

[0018] If the remaining time threshold is greater than the preset remaining time threshold, a switching-off action is performed to disconnect the relay, and then the tripping times of the smart meter are cumulatively processed, and the step of obtaining the real-time current value of the smart meter is re-executed;

[0019] If the remaining time threshold is less than or equal to the preset remaining time threshold, the tripping times of the smart meter and the delay parameter of the smart meter are initialized, and the step of obtaining the real-time current value of the smart meter is re-executed.

[0020] Optionally, the switched-on parameter includes a continuous operation time, and it is judged whether the smart meter is in the tripping state at the current moment;

[0021] If the smart meter is in the tripping state at the current moment, the smart meter automatically counts the continuous operation time during which the real-time current value is less than a preset current threshold according to the tripping state.

[0022] Optionally, it is judged whether the continuous operation time is greater than a preset overload automatic switched-on waiting time;

[0023] If the continuous closing time is greater than the preset overload automatic closing waiting time, adjust the status of the smart meter from the tripped state to the closed state, execute a closing action to close the relay according to the closed state, initialize the remaining time threshold between the last closing and the next tripping of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter;

[0024] If the continuous closing time is less than or equal to the preset closing time, re-execute the step of obtaining the real-time current value of the smart meter.

[0025] In addition, to achieve the above object, the present invention further provides a smart meter adaptive load monitoring device, including:

[0026] An acquisition module, configured to acquire the real-time current value of the smart meter based on the current mode of the smart meter;

[0027] A detection module, configured to detect whether the real-time current value is greater than a preset current threshold;

[0028] A tripping execution module, configured to, if so, acquire the tripping parameters of the smart meter, execute a switching-off action to disconnect the relay according to the tripping parameters, perform an accumulation process on the tripping times of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter;

[0029] A closing execution module, configured to, if not, acquire the closing parameters of the smart meter, execute a closing action to close the relay according to the closing parameters, initialize the remaining time threshold between the last closing and the next tripping of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter.

[0030] In addition, to achieve the above object, the present invention further provides a smart meter adaptive load monitoring device, including: a memory, a processor, and a smart meter adaptive load monitoring program stored on the memory and executable on the processor. When the smart meter adaptive load monitoring program is executed by the processor, the steps of the smart meter adaptive load monitoring method as described above are implemented.

[0031] In addition, to achieve the above object, the present invention further provides a smart meter adaptive load monitoring storage medium. A smart meter adaptive load monitoring program is stored on the storage medium. When the smart meter adaptive load monitoring program is executed by a processor, the steps of the smart meter adaptive load monitoring method as described above are implemented.

[0032] In the present invention, after obtaining the real-time current value based on the current mode of the smart meter, it is then detected whether the real-time current value is greater than a preset current threshold; if so, the tripping parameter of the smart meter is obtained, and after condition determination of the tripping parameter, a switching-off instruction is determined to disconnect the relay, and then an instruction for accumulating the number of trips of the smart meter is obtained and the step of obtaining the real-time current value of the smart meter is executed again; if not, the closing parameter of the smart meter is obtained, and after condition determination of the closing parameter, a closing instruction is determined to close the relay, and the remaining time threshold between the last closing and the next tripping of the smart meter is initialized, and the step of obtaining the real-time current value of the smart meter is executed again. After obtaining the real-time current value of the smart meter, by obtaining the tripping or closing parameter required by the smart meter for the real-time current value, and then automatically determining the load operation status of the smart meter through the tripping or closing parameter and executing the step of obtaining the real-time current value of the smart meter again, the ability to meet the diversified requirements of the application scenarios of the adaptive load monitoring of the smart meter is improved by increasing the configurable parameters. In addition, the configurable number of trips can protect the user circuit and improve the service life of the load switch, thus avoiding the phenomenon in the prior art that the smart meter cannot be individually configured according to the actual needs of each user when realizing the load control function, not only effectively reducing the maintenance cost but also being flexible in configuration and enabling more application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a schematic flowchart of the first embodiment of the method for adaptive load monitoring of the smart meter according to the present invention;

[0034] Figure 2 is a schematic flowchart of the second embodiment of the method for adaptive load monitoring of the smart meter according to the present invention;

[0035] Figure 3 is a schematic flowchart of the third embodiment of the method for adaptive load monitoring of the smart meter according to the present invention;

[0036] Figure 4 is a schematic diagram of the device module of the method for adaptive load monitoring of the smart meter according to the present invention;

[0037] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0039] The embodiments of the present invention provide a method for adaptive load monitoring of a smart meter, with reference to Figure 1 as shown, Figure 1It is a schematic flowchart of the first embodiment of the intelligent electricity meter adaptive load monitoring method of the present invention.

[0040] Here, exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application.

[0041] In this embodiment, the intelligent electricity meter adaptive load monitoring method includes:

[0042] Step S10, obtaining the real-time current value of the intelligent electricity meter based on the current mode of the intelligent electricity meter;

[0043] In the prior art, the limiter (power load limiter) function model of the intelligent electricity meter has a single function in realizing load control. For example, after a user 1 trips a certain number of times when the power exceeds the limit, in order to protect the safety of electricity use, the closing function cannot be executed anymore. And after a user 2 trips a certain number of times when the power exceeds the limit, in order to realize the final required closing function, and the tripping function cannot be executed anymore after exceeding a certain number of times. Therefore, there is a problem that it is impossible to configure separately according to the actual needs of each user. The present invention adds configurable parameters corresponding to the intelligent electricity meter for the current mode of the intelligent electricity meter, so as to realize the adaptive load monitoring of the electricity meter that meets various customer needs.

[0044] Therefore, in this embodiment, after the control center differentiates the current mode of the intelligent electricity meter, it issues a command to read the real-time current value to control the intelligent electricity meter to read the real-time current value every second. The intelligent electricity meter reads the real-time current value every second mainly to obtain the real-time current value for the adaptive load control of the intelligent electricity meter. Among them, the real-time current value represents the A-phase current value monitored by the intelligent electricity meter, which can be represented by Ia. If the intelligent electricity meter is in the normal mode, the real-time current value represents the A-phase current value monitored by the intelligent meter in the normal mode; if the intelligent electricity meter is in the emergency mode, the real-time current value represents the A-phase current value monitored by the intelligent electricity meter in the emergency mode, which can be represented by la.

[0045] Step S20, detecting whether the real-time current value is greater than a preset current threshold;

[0046] In this embodiment, the control center determines whether the real-time current value of the smart meter is greater than the preset current threshold of the smart meter. Among them, when the smart meter is in the normal mode, the preset current threshold is represented by Thr_Nor (threshold_normal in the Limiter class of the smart meter, that is, the normal threshold value); when the smart meter is in the emergency mode, the preset current threshold is represented by Thr_Emg (threshold_emergency in the Limiter class of the smart meter, that is, the emergency threshold value); the preset current threshold is the current threshold already set in the smart meter. For example, Thr_Nor = 72A and Thr_Emg = 60A are set in the smart meter.

[0047] If it is determined that the real-time current value (la) of the smart meter is greater than the preset current threshold, the trip parameters can be further obtained according to various limiting conditions set in the smart meter; conversely, if it is determined that the real-time current value of the smart meter is less than or equal to the preset current threshold, the closing parameters can be further obtained according to various limiting conditions set in the smart meter.

[0048] Step S30, if so, obtain the trip parameters of the smart meter, perform a switching-off operation according to the trip parameters to disconnect the relay, and then perform the accumulation process of the trip times of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter;

[0049] In this embodiment, after the control center obtains the information that the real-time current value (la) is greater than the preset current threshold, and then makes a series of conditional judgments on the smart meter, the trip parameters of the smart meter can be obtained. After the control center performs a switching-off operation to disconnect the relay according to the information provided by the trip parameters, it then executes the instruction to increment the trip times (CNT) by 1 to obtain the total current trip times of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter.

[0050] Among them, the tripping parameters mainly refer to the continuous operation time when the real-time current value is greater than the preset current threshold, the final tripping state, the current over-limit tripping times, and the remaining time threshold; the continuous operation time when the real-time current value is greater than the preset current threshold refers to the time recorded by the control center starting from the moment when it is found that the real-time current value is greater than the preset current threshold in the current mode of the smart meter, and the operation time during which the real-time current value tends to the current value of the normal operation of the smart meter is statistically calculated; when the smart meter is in the normal mode, the manifestation form of the final tripping state is Final_state_normal, abbreviated as Fsta 1; when the smart meter is in the emergency mode, the manifestation form of the final tripping state is Final_state_emergency, abbreviated as Fsta 2; the current over-limit tripping times refer to the cumulative tripping times of the smart meter currently; the remaining time threshold refers to the remaining interval time threshold from the last closing to the next tripping. If the smart meter is currently in the normal mode, the interval time threshold from the last closing to the next tripping is represented by T3 (Middle_timeout_normal), then the remaining time threshold is represented by ST3; if the smart meter is currently in the emergency mode, the interval time threshold from the last closing to the next tripping is represented by T4 (Middle_timeout_emergency), then the remaining time threshold is represented by ST4. A relay is an electrical control device. When the change of the input quantity (excitation quantity) reaches the specified requirement, it is an electrical appliance that makes the controlled quantity undergo a predetermined step change in the electrical output circuit. It is actually an "automatic switch" that uses a small current to control the operation of a large current. The relay plays roles such as automatic regulation, safety protection, and circuit conversion in the circuit.

[0051] In this embodiment, the interval time threshold (T3 / T4) from the last closing to the next tripping is used to limit the time from the last closing to the next tripping and distinguish different load control types; the final holding state of the load switch (Fsta 1 / Fsta2) is configurable.

[0052] Step S40, if not, then obtain the closing parameters of the smart meter, perform a closing action to close the relay according to the closing parameters, initialize the remaining time threshold between the last closing and the next tripping of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter.

[0053] In this embodiment, after the control center obtains the information that the real-time current value is less than the preset current threshold, and then makes a series of judgments based on the smart meter conditions, the closing parameters of the smart meter can be obtained. After the control center executes the closing action to close the relay based on the information provided by the closing parameters, the remaining time threshold from the last closing to the next tripping is initialized, and the step of obtaining the real-time current value of the smart meter is executed again. Among them, the closing parameter refers to the continuous operation time when the real-time current value is less than the preset current threshold. Among them, the continuous operation time when the real-time current value is less than the preset current threshold refers to the time recorded by the control center starting from the moment when the real-time current value is found to be less than the preset current threshold in the current mode of the smart meter, and the operation time during which the real-time current value tends to the normal operating current value of the smart meter is statistically calculated.

[0054] The present invention first obtains the real-time current value of the smart meter based on the current mode of the smart meter, and then detects whether the real-time current value is greater than the preset current threshold; if so, the tripping parameters of the smart meter are obtained, and after the conditions of the tripping parameters are determined, the opening command is determined to disconnect the relay, and the tripping count accumulation command of the smart meter is obtained and the step of obtaining the real-time current value of the smart meter is executed again; if not, the closing parameters of the smart meter are obtained, and after the conditions of the closing parameters are determined, the closing command is determined to close the relay, and then the remaining time threshold from the last closing to the next tripping of the smart meter is initialized, and the step of obtaining the real-time current value of the smart meter is executed again. After obtaining the real-time current value of the smart meter, the tripping or closing parameters required by the smart meter are obtained for the real-time current value, and then the load operation status of the smart meter is automatically determined through the tripping or closing parameters, and the step of obtaining the real-time current value of the smart meter is executed again. By increasing the configurable parameters, the demand capacity for the diversification of the application scenarios of the smart meter's adaptive load monitoring is improved. For example, the configurable tripping times can protect the user circuit to improve the service life of the load switch, and the interval time threshold (T3 / T4) from the last closing to the next tripping is used to limit the time from the last closing to the next tripping to distinguish different load control types. By increasing the configurable parameters as described above, the phenomenon that the smart meter in the prior art cannot be individually configured according to the actual needs of each user when realizing the load control function is avoided, which not only effectively reduces the maintenance cost but also has flexible configuration and can realize more application scenarios.

[0055] Furthermore, based on the first embodiment of the smart meter adaptive load monitoring method of the present invention, the second embodiment of the smart meter adaptive load monitoring method of the present invention is proposed. Figure 2 is a schematic flowchart of the second embodiment of the smart meter adaptive load monitoring method of the present invention. Refer to Figure 2 , the method for obtaining the smart meter adaptive load monitoring includes:

[0056] Step A1: Determine whether the smart meter is in a tripped state at the current moment;

[0057] In this embodiment, after the control center determines an instruction that the real-time current value of the smart meter is greater than the preset current threshold (Thr_Nor or Thr_Emg) according to the current mode (normal or emergency mode) of the smart meter, the control center executes the command to determine whether the smart meter is in a tripped state of the limiter (power load limiter) at the current moment. The tripped state of the limiter (power load limiter) refers to the state change from the original closed state to the open state. Specifically, in the electrical circuit, the control switch generates a protective opening and disconnecting of the circuit without manual operation. This action phenomenon of the tripped state is a protective action of the control switch on the circuit and electrical equipment, which timely disconnects the circuit to avoid the continuous expansion of faults or accidents.

[0058] Step A2: If the smart meter is in a closed state at the current moment, the smart meter automatically counts the continuous operation time during which the real-time current value is greater than the preset current threshold according to the closed state.

[0059] If the smart meter is in the closed state of the limiter (power load limiter) at the current moment, the smart meter automatically counts the continuous operation time during which the real-time current value (la) is greater than the preset current threshold (Thr_Nor or Thr_Emg) according to the closed state. Counting the continuous operation time during which the real-time current value (la) is greater than the preset current threshold (Thr_Nor or Thr_Emg) is to determine the magnitude of the value by comparing the continuous operation time with the preset overload tripping judgment time; if the smart meter is in the tripped state of the limiter (power load limiter) at the current moment, the real-time current value of the smart meter is obtained again.

[0060] In this embodiment, the continuous operation time is one of the tripping parameters, and the tripping parameters are important indicators for the control center to obtain the power-off instruction. The continuous operation time refers to the continuous operation time during which the control center counts the real-time current value (la) greater than the preset current threshold (Thr_Nor or Thr_Emg).

[0061] In this embodiment, by determining that the smart meter is in a closed state at the current moment and obtaining the continuous operation time, the accuracy of determining whether the smart meter maintains the final tripped state is improved subsequently.

[0062] Further, after the step of automatically counting the continuous operation time during which the real-time current value is greater than the preset current threshold according to the closed state, it includes:

[0063] Step A3, determine whether the continuous operation time is greater than a preset overload trip determination time;

[0064] In this embodiment, by comparing the continuous operation time with the preset overload trip determination time, the size relationship between the continuous operation time and the preset overload trip determination time is detected.

[0065] Step A4, if the continuous operation time is greater than the preset overload trip determination time, then adjust the status of the smart meter from the closed state to the final trip state.

[0066] If the continuous operation time during which the real-time current value (la) of the smart meter is greater than the preset current threshold (Thr_Nor or Thr_Emg) is greater than the preset overload trip determination time, then adjust the status of the smart meter from the closed state to the final trip state. In this embodiment, the preset overload trip determination time is represented by T1 (min_over_threshold_duration in the Limiter class of the smart meter); it is worth mentioning that the values of the preset overload trip determination time T1 and the preset overload automatic closing waiting time T2 are the same.

[0067] When the smart meter is in the normal mode, the final trip state is represented in the smart meter as Fsta1 (Final_state_normal) = 1: the final state remains in the trip, that is, final closing is not allowed; when the smart meter is in the emergency mode, the final trip state is represented in the smart meter as Fsta 2 (Final_state_emergency) = 1: the final state remains in the trip, that is, final closing is not allowed. The final trip state is also one of the trip parameters for the control center to obtain the power cut-off instruction.

[0068] If the continuous operation time during which the real-time current value (la) of the smart meter is greater than the preset current threshold (Thr_Nor or Thr_Emg) is less than or equal to the preset overload trip determination time (T1), then re-execute obtaining the real-time current value of the smart meter.

[0069] In this embodiment, by comparing the continuous operation time with the preset overload trip determination time, obtaining the value of the continuous operation time greater than the preset overload trip determination time is to achieve the effect of obtaining the final maintained state of the smart meter.

[0070] Further, after the step of adjusting the status of the smart meter from the closed state to the final trip state, it includes:

[0071] Step A5, read the current over-limit trip times of the smart meter;

[0072] The control center directly reads the current over-limit tripping times of the smart meter. The current over-limit tripping times are represented by Nsw in the smart meter, which represents the current cumulative tripping times of the smart meter. Similarly, the current over-limit tripping times are also one of the tripping parameters. In this embodiment, it is mainly to provide the current over-limit tripping times of the smart meter.

[0073] Step A6, determine whether the current over-limit tripping times are greater than or equal to the preset tripping times of the smart meter;

[0074] In this embodiment, when the smart meter is in the normal mode, the preset tripping times can be represented by n1 (Number of Reclosing_normal, the preset short tripping times in the normal mode); when the smart meter is in the emergency mode, the preset tripping times can be represented by n2 (Number of Reclosing_emergency, the preset short tripping times in the emergency mode). The preset tripping times are set in the smart meter.

[0075] In this embodiment, determining whether the current over-limit tripping times are greater than or equal to the preset tripping times of the smart meter is to detect whether the cumulative tripping times of the current smart meter exceed the limit.

[0076] Step A7, if the current over-limit tripping times are less than the preset tripping times, determine the historical closing time node closest to the current moment of the smart meter, and determine the next tripping time node of the meter; take the time difference between the historical closing time node and the next tripping time node as the remaining time threshold.

[0077] In this embodiment, if the current over-limit tripping times (Nsw) of the smart meter are less than the preset tripping times (n1 or n2), then determine the remaining time threshold (ST3 or ST4) of the smart meter. Among them, if the smart meter is currently in the normal mode, the remaining time threshold is represented by ST3; if the smart meter is currently in the emergency mode, the remaining time threshold is represented by ST4; the remaining time threshold (ST3 or ST4) represents the historical closing time node closest to the current moment of the smart meter, and determine the next tripping time node of the meter; and take the time difference between the historical closing time node and the next tripping time node as the remaining time threshold. The remaining time threshold is also one of the tripping parameters.

[0078] In this embodiment, if the current over-limit tripping times (Nsw) of the smart meter are greater than or equal to the preset tripping times (n1 or n2), then re-execute to obtain the real-time current value of the smart meter.

[0079] Step A8, detect whether the remaining time threshold is greater than a preset remaining time threshold.

[0080] In this embodiment, when the smart meter is currently in the normal mode, detect whether the remaining time threshold (ST3) is greater than the preset remaining time threshold; when the smart meter is currently in the emergency mode, detect whether the remaining time threshold (ST4) is greater than the preset remaining time threshold, where the preset remaining time threshold in the smart meter is 0.

[0081] Step A9, if the remaining time threshold is greater than the preset remaining time threshold, perform a power cut action to disconnect the relay, then perform the accumulation process of the number of trips of the smart meter, and re - execute the step of obtaining the real - time current value of the smart meter;

[0082] If the remaining time threshold (ST3 or ST4) is greater than 0, first issue a power cut command to perform a power cut action to disconnect the relay, then perform the process of adding 1 to the number of trips (CNT) to obtain the current number of trips of the smart meter, and finally re - execute the step of obtaining the real - time current value of the smart meter to enter the next cycle.

[0083] In this embodiment, the purpose of obtaining the information that the remaining time threshold (ST3 or ST4) is greater than 0 is to obtain the new cumulative number of trips of the smart meter.

[0084] Step A10, if the remaining time threshold is less than or equal to the preset remaining time threshold, initialize the number of trips of the smart meter and the delay parameter of the smart meter, and re - execute the step of obtaining the real - time current value of the smart meter.

[0085] If the remaining time threshold (ST3) is less than or equal to 0, first initialize the number of trips (CNT) of the smart meter and the delay parameter (T5, End_timeout) of the smart meter, and re - execute the step of obtaining the real - time current value of the smart meter. Among them, the initialization of the number of trips (CNT) means clearing the number of trips, and the delay parameter (T5) is restored to the set delay time of the smart meter.

[0086] In this implementation, the smart meter has a self - recovery function. After the smart meter is in the final closing (tripping) state, when the delay exceeds T5, the number of trips will be reset and the LIMITER function will be initialized. In addition, the closing and tripping delays can be set separately to eliminate interference, and the configurable number of trips can protect the user circuit to improve the service life of the load switch.

[0087] In summary, in this embodiment, by determining the tripping parameters, the number of tripping times of the smart meter can be configured to protect the user circuit and improve the service life of the load switch. The smart meter can also monitor the time when it is in the final holding state through a preset delay parameter (T5). When the time exceeds the preset delay parameter (T5), the limiter model in the smart meter can automatically return to the initial state. Additionally, by adding a configurable interval time threshold (T3 or T4) from the last closing to the next tripping in the smart meter to distinguish different load control types, the accident of misjudging users due to single function can be effectively reduced, meeting the diverse needs of customers for the adaptive load monitoring of smart meters.

[0088] In addition, based on the first embodiment of the adaptive load monitoring method for the smart meter of the present invention, a third embodiment of the adaptive load monitoring method for the smart meter of the present invention is proposed. Figure 3 It is a schematic flowchart of the third embodiment of the adaptive load monitoring method for the smart meter of the present invention. Refer to Figure 3 , the adaptive load monitoring method for the smart meter includes:

[0089] Step B1, determining whether the smart meter is in a tripping state at the current moment;

[0090] It has been introduced in detail at step A1 and will not be elaborated here.

[0091] Step B2, if the smart meter is in a tripping state at the current moment, the smart meter automatically counts the continuous operation time when the real-time current value is less than a preset current threshold according to the tripping state.

[0092] If the smart meter is in a tripping state of the limiter (power load limiter) at the current moment, the smart meter automatically counts the continuous operation time when the real-time current value (la) is less than the preset current threshold (Thr_Nor or Thr_Emg) according to the tripping state; the continuous operation time when the real-time current value (la) is less than the preset current threshold (Thr_Nor or Thr_Emg) is used to determine the magnitude of the value obtained by comparing the continuous operation time and the preset overload automatic closing waiting time; if the smart meter is in a closing state of the limiter (power load limiter) at the current moment, the step of obtaining the real-time current value of the smart meter is re-executed.

[0093] In this embodiment, the main function is to provide the continuous operation time when the smart meter is in a tripping state. Among them, the continuous operation time is one of the closing parameters, and the closing parameters are important indicators for the control center to obtain the closing instruction. The continuous operation time refers to the continuous operation time when the control center counts that the real-time current value (la) is less than the preset current threshold (Thr_Nor or Thr_Emg).

[0094] Further, after the step of counting the continuous operation time during which the real-time current value is less than the preset current threshold according to the tripping state, the following steps are included:

[0095] Step B3, determining whether the continuous operation time is greater than the preset overload automatic closing waiting time;

[0096] In this embodiment, the preset overload automatic closing waiting time is represented by T2 (min_under_threshold_duration in the Limiter class of the smart meter).

[0097] Step B4, if the continuous closing time is greater than the preset overload automatic closing waiting time, then adjust the state of the smart meter from the tripping state to the closing state, execute the closing action to close the relay according to the closing state, initialize the remaining time threshold between the last closing and the next tripping of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter.

[0098] If the continuous operation time during which the real-time current value of the smart meter is less than the preset current threshold (Thr_Nor or Thr_Emg) is greater than the preset overload automatic closing waiting time (T2), then adjust the state of the smart meter from the tripping state to the final closing state.

[0099] In this embodiment, when the smart meter is in the normal mode, the form of the final tripping state in the smart meter is Fsta1 (Final_state_normal) = 0: the final state remains in the closed state, that is, the final tripping is not allowed; when the smart meter is in the emergency mode, the form of the final tripping state in the smart meter is Fsta 2 (Final_state_emergency) = 0: the final state remains in the closed state, that is, the final tripping is not allowed. The final closing state is also the tripping parameter for the control center to obtain the closing instruction.

[0100] In this embodiment, the purpose of obtaining that the continuous operation time during which the real-time current value of the smart meter is less than the preset current threshold (Thr_Nor or Thr_Emg) is greater than the preset overload automatic closing waiting time (T2) is to achieve the purpose of obtaining the final closing state of the smart meter.

[0101] Step B5, if the continuous closing time is less than or equal to the preset closing time, then re-execute the step of obtaining the real-time current value of the smart meter.

[0102] If the continuous operation time during which the real-time current value (la) of the smart meter is less than the preset current threshold (Thr_Nor or Thr_Emg) is less than or equal to the preset overload automatic closing waiting time (T2), then the step of obtaining the real-time current value of the smart meter is re-executed.

[0103] In summary, the final holding state of the load switch of the smart meter can be configured, so as to achieve the purpose of flexible configuration of the smart meter and further achieve the technical effect of meeting the diverse needs of users.

[0104] In addition, the present invention also provides a smart meter adaptive load monitoring device. Referring to Figure 4 , the smart meter adaptive load monitoring device includes:

[0105] An acquisition module H01, configured to acquire the real-time current value of the smart meter based on the current mode of the smart meter;

[0106] A detection module H02, configured to detect whether the real-time current value is greater than a preset current threshold;

[0107] A trip execution module H03, configured to, if so, acquire the trip parameters of the smart meter, perform a switch-off operation according to the trip parameters to disconnect the relay, and then perform the accumulation process of the trip times of the smart meter, and re-execute the step of acquiring the real-time current value of the smart meter;

[0108] A closing execution module H04, configured to, if not, acquire the closing parameters of the smart meter, perform a closing operation according to the closing parameters to close the relay, and then initialize the remaining time threshold between the last closing and the next trip of the smart meter, and re-execute the step of acquiring the real-time current value of the smart meter.

[0109] Optionally, the trip parameters include a continuous operation time, and the trip execution module H03 is further configured to:

[0110] Judge whether the smart meter is in a tripped state at the current moment;

[0111] If the smart meter is in a closed state at the current moment, then count the continuous operation time during which the real-time current value is greater than the preset current threshold according to the closed state.

[0112] Optionally, the trip parameters further include a final trip state, and the trip execution module H03 is further configured to:

[0113] Judge whether the continuous operation time is greater than a preset overload trip judgment time;

[0114] If the continuous operation time is greater than the preset overload trip judgment time, then adjust the state of the smart meter from the closed state to the final trip state.

[0115] Optionally, the tripping parameter further includes the current over-limit tripping times and the remaining time threshold, and the tripping execution module H03 is further configured to:

[0116] Read the current over-limit tripping times of the smart meter;

[0117] Determine whether the current over-limit tripping times are greater than or equal to the preset tripping times of the smart meter;

[0118] If the current over-limit tripping times are less than the preset tripping times, determine the historical closing time node closest to the current moment of the smart meter, and determine the next tripping time node of the meter;

[0119] Take the time difference between the historical closing time node and the next tripping time node as the remaining time threshold.

[0120] Optionally, the tripping execution module H03 is further configured to:

[0121] Detect whether the remaining time threshold is greater than the preset remaining time threshold.

[0122] If the remaining time threshold is greater than the preset remaining time threshold, perform a switching-off action to disconnect the relay, then perform the cumulative processing of the tripping times of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter;

[0123] If the remaining time threshold is less than or equal to the preset remaining time threshold, initialize the tripping times of the smart meter and the delay parameter of the smart meter, and re-execute the step of obtaining the real-time current value of the smart meter.

[0124] Optionally, the closing parameter includes the continuous operation time, and the closing execution module H04 is further configured to:

[0125] Determine whether the smart meter is in a tripping state at the current moment;

[0126] If the smart meter is in a tripping state at the current moment, count the continuous operation time when the real-time current value is less than the preset current threshold according to the tripping state.

[0127] Optionally, the closing execution module H04 is further configured to:

[0128] Determine whether the continuous operation time is greater than the preset overload automatic closing waiting time;

[0129] If the continuous closing time is greater than the preset overload automatic closing waiting time, then adjust the status of the smart meter from the tripped state to the closed state, perform a closing action to close the relay according to the closed state, initialize the remaining time threshold between the last closing and the next tripping of the smart meter, and re - execute the step of obtaining the real - time current value of the smart meter;

[0130] If the continuous closing time is less than or equal to the preset closing time, then re - execute the step of obtaining the real - time current value of the smart meter.

[0131] The methods executed by the above - mentioned program modules can refer to the various embodiments of the smart meter adaptive load monitoring method of the present invention, which will not be elaborated here.

[0132] The present invention also provides a smart meter adaptive load monitoring device.

[0133] The device of the present invention includes: a memory, a processor, and a smart meter adaptive load monitoring program stored on the memory and executable on the processor. When the smart meter adaptive load monitoring program is executed by the processor, it implements the steps of the smart meter adaptive load monitoring method as described above.

[0134] The present invention also provides a storage medium.

[0135] The storage medium of the present invention stores a smart meter adaptive load monitoring program. When the smart meter adaptive load monitoring program is executed by a processor, it implements the steps of the smart meter adaptive load monitoring method as described above.

[0136] Among them, the methods implemented when the smart meter adaptive load monitoring program running on the processor is executed can refer to the various embodiments of the smart meter adaptive load monitoring method of the present invention, which will not be elaborated here.

[0137] It should be noted that in this article, the terms "include", "comprise" or any other variation thereof are intended to cover non - exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article or system. Without further limitation, an element defined by the statement "including an..." does not exclude the existence of another identical element in the process, method, article or system including that element.

[0138] The serial numbers of the above - mentioned embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0139] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0140] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An adaptive load monitoring method for an intelligent electricity meter, characterized in that, The intelligent electricity meter adaptive load monitoring method includes the following steps: Obtain the real-time current value of the intelligent electricity meter based on the current mode of the intelligent electricity meter; Detect whether the real-time current value is greater than a preset current threshold; If so, obtain the tripping parameter of the intelligent electricity meter, perform a switching-off action to disconnect the relay according to the tripping parameter, then perform the accumulation process of the tripping times of the intelligent electricity meter, and re-execute the step of obtaining the real-time current value of the intelligent electricity meter; wherein, the tripping parameter is the continuous operation time when the real-time current value is greater than the preset current threshold, the final tripping state, the current over-limit tripping times, and the remaining time threshold; If not, obtain the closing parameter of the intelligent electricity meter, perform a closing action to close the relay according to the closing parameter, then initialize the remaining time threshold between the last closing and the next tripping of the intelligent electricity meter, and re-execute the step of obtaining the real-time current value of the intelligent electricity meter, wherein the closing parameter is the continuous operation time when the real-time current value is less than the preset current threshold.

2. The intelligent electricity meter adaptive load monitoring method according to claim 1, wherein The tripping parameter includes the continuous operation time, and the step of obtaining the tripping parameter of the intelligent electricity meter includes: Judge whether the intelligent electricity meter is in a tripping state at the current moment; If the intelligent electricity meter is in a closing state at the current moment, count the continuous operation time when the real-time current value is greater than the preset current threshold according to the closing state.

3. The intelligent electricity meter adaptive load monitoring method according to claim 2, characterized in that, The tripping parameter further includes the final tripping state. After the step of counting the continuous operation time when the real-time current value is greater than the preset current threshold, it includes: Judge whether the continuous operation time is greater than the preset overload tripping judgment time; If the continuous operation time is greater than the preset overload tripping judgment time, adjust the state of the intelligent electricity meter from the closing state to the final tripping state.

4. The intelligent electricity meter adaptive load monitoring method according to claim 3, characterized in that, The tripping parameter further includes the current over-limit tripping times and the remaining time threshold. After the step of adjusting the state of the intelligent electricity meter from the closing state to the final tripping state, it includes: Read the current over-limit tripping times of the intelligent electricity meter; Judge whether the current over-limit tripping times is greater than or equal to the preset tripping times of the intelligent electricity meter; If the current over-limit tripping times is less than the preset tripping times, determine the nearest historical closing time node of the intelligent electricity meter from the current moment, and determine the next tripping time node of the electricity meter; Take the time difference between the historical closing time node and the next tripping time node as the remaining time threshold.

5. The intelligent electricity meter adaptive load monitoring method according to claim 4, characterized in that, After the step of taking the time difference between the historical closing time node and the next tripping time node as the remaining time threshold, it includes: Detect whether the remaining time threshold is greater than the preset remaining time threshold; If the remaining time threshold is greater than the preset remaining time threshold, perform a switching-off action to disconnect the relay, then perform the accumulation process of the tripping times of the intelligent electricity meter, and re-execute the step of obtaining the real-time current value of the intelligent electricity meter; If the remaining time threshold is less than or equal to the preset remaining time threshold, initialize the tripping times of the intelligent electricity meter and the delay parameter of the intelligent electricity meter, and re-execute the step of obtaining the real-time current value of the intelligent electricity meter.

6. The intelligent electricity meter adaptive load monitoring method according to claim 1, characterized in that, The closing parameters include the continuous operation time, and the step of obtaining the closing parameters of the electricity meter includes: Determine whether the smart electricity meter is in a tripped state at the current moment; If the smart electricity meter is in a tripped state at the current moment, then count the continuous operation time during which the real-time current value is less than the preset current threshold according to the tripped state.

7. The intelligent electric meter adaptive load monitoring method according to claim 6, characterized in that, After the step of counting the continuous operation time during which the real-time current value is less than the preset current threshold according to the tripped state, it includes: Determine whether the continuous operation time is greater than the preset overload automatic closing waiting time; If the continuous closing time is greater than the preset overload automatic closing waiting time, then adjust the state of the smart electricity meter from the tripped state to the closed state, perform a closing action to close the relay according to the closed state, initialize the remaining time threshold between the last closing and the next tripping of the smart electricity meter, and re-execute the step of obtaining the real-time current value of the smart electricity meter; If the continuous closing time is less than or equal to the preset closing time, then re-execute the step of obtaining the real-time current value of the smart electricity meter.

8. An intelligent electricity meter adaptive load monitoring device, characterized in that, The smart electricity meter adaptive load monitoring device includes: An acquisition module, configured to acquire the real-time current value of the smart electricity meter based on the current mode of the smart electricity meter; A detection module, configured to detect whether the real-time current value is greater than a preset current threshold; A tripping execution module, configured to, if so, acquire the tripping parameters of the smart electricity meter, perform a tripping action to disconnect the relay according to the tripping parameters, perform cumulative processing of the tripping times of the smart electricity meter, and re-execute the step of obtaining the real-time current value of the smart electricity meter; wherein, the tripping parameters are the continuous operation time during which the real-time current value is greater than the preset current threshold, the final tripping state, the current over-limit tripping times, and the remaining time threshold; A closing execution module, configured to, if not, acquire the closing parameters of the smart electricity meter, perform a closing action to close the relay according to the closing parameters, initialize the remaining time threshold between the last closing and the next tripping of the smart electricity meter, and re-execute the step of obtaining the real-time current value of the smart electricity meter, wherein, the closing parameters are the continuous operation time during which the real-time current value is less than the preset current threshold.

9. An intelligent electricity meter adaptive load monitoring device, characterized in that, The smart electricity meter adaptive load monitoring device includes: a memory, a processor, and a smart electricity meter adaptive load monitoring program stored on the memory and executable on the processor. When the smart electricity meter adaptive load monitoring program is executed by the processor, it implements the steps of the smart electricity meter adaptive load monitoring method according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a smart electricity meter adaptive load monitoring program. When the smart electricity meter adaptive load monitoring program is executed by a processor, it implements the steps of the smart electricity meter adaptive load monitoring method according to any one of claims 1 to 7.

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