Energy-saving optimization method and system of electric energy meter

Abstract

The invention discloses an energy-saving optimization method and system for an electric energy meter. Relates to the technical field of power systems. The technical problem that an existing electric energy meter is large in energy consumption is mainly solved. The method mainly comprises the following steps: initializing a cache component in the electric energy meter in a wireless communication mode; after the cache component finishes initialization, acquiring a period duration configured for the electric energy meter and period electric quantity data acquired according to the period duration, and determining energy-saving acquisition time based on the period duration and the period electric quantity data; determining low-energy-consumption starting time and low-energy-consumption starting frequency of the low-energy-consumption state based on the energy-saving acquisition time, and determining high-energy-consumption starting time and high-energy-consumption starting frequency by combining the low-energy-consumption starting time, the low-energy-consumption starting frequency and the period duration; and sending an energy-saving acquisition instruction to the electric energy meter based on the low-energy-consumption starting time, the low-energy-consumption starting frequency, the high-energy-consumption starting time and the high-energy-consumption starting frequency so as to drive the electric energy meter to perform energy-saving transmission. The method is used for energy-saving optimization of the electric energy meter.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to an energy-saving optimization method and system for electric energy meters. Background Art

[0002] With the intelligent and digital development of power systems, electric energy meters are usually used to measure power in order to strictly measure power transmission, equipment power consumption, etc. in the power system.

[0003] At present, the operation of the energy meter is usually powered directly by wiring, and the power consumption data is uploaded in real time. However, the energy meter operates all day, and the number of energy meters in a power system is very large. If the power supply is on for a long time, it will also cause a large amount of energy loss, increasing the energy consumption of the energy meter. Summary of the invention

[0004] In view of this, the present invention provides an energy-saving optimization method and system for an electric energy meter, the main purpose of which is to solve the problem of high energy consumption of existing electric energy meters.

[0005] According to one aspect of the present invention, there is provided a method for optimizing energy saving of an electric energy meter, comprising:

[0006] Initializing a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state;

[0007] After the cache component is initialized, the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the cycle power data;

[0008] Determine a low energy consumption startup time and a low energy consumption startup frequency in a low energy consumption state based on the energy-saving acquisition time, and determine a high energy consumption startup time and a high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency and the cycle duration;

[0009] An energy-saving collection instruction is sent to the electric energy meter based on the low-energy-consumption startup time, the low-energy-consumption startup frequency, the high-energy-consumption startup time, and the high-energy-consumption startup frequency to drive the electric energy meter to perform energy-saving transmission.

[0010] Further, the initializing the cache component in the electric energy meter by wireless communication includes:

[0011] When it is detected that the electric energy meter completes wireless communication with the control platform, the cache space size, cache clearing frequency, and cache data mode of the cache component in the electric energy meter are obtained;

[0012] The initialization parameters corresponding to the cache space size, the cache clearing frequency, and the cache data mode are queried according to the preset electric energy meter cache mapping relationship, and the initialization parameters include cache available space and cache data reading and writing mode.

[0013] Further, the acquiring of the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration, and determining the energy-saving collection time based on the cycle duration and the cycle power data includes:

[0014] Determining a configured cycle duration based on a device model of the electric energy meter;

[0015] Obtaining electricity data in historical cycles according to the cycle duration;

[0016] The three-layer convolutional neural network model that has completed model training is used to predict the periodic power data and the period duration to obtain the energy-saving collection time.

[0017] Furthermore, the low energy consumption start time and low energy consumption start frequency of the low energy consumption state determined based on the energy-saving acquisition time include:

[0018] If the collection interval of the energy-saving collection time is greater than the peak time interval and less than the valley time interval, the middle time point of the energy-saving collection time is determined as the low-energy startup time, and the low-energy startup frequency is selected from the credible low-energy startup frequencies according to the middle value;

[0019] If the collection interval of the energy-saving collection time is greater than the valley time interval, subtract the collection interval of the energy-saving collection time based on the first preset adjustment time difference to obtain the low-energy startup time, and select the low-energy startup frequency from the credible low-energy startup frequencies according to the maximum value;

[0020] If the collection interval of the energy-saving collection time is less than the peak time interval, the energy-saving collection time is added based on the second preset adjustment time difference to obtain the low-energy consumption start time, and the low-energy consumption start frequency is selected from the credible energy consumption start frequencies according to the minimum value;

[0021] The determining of the high energy consumption startup time and the high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency, and the cycle duration comprises:

[0022] Determine a reference high energy consumption startup time and a reference high energy consumption startup frequency corresponding to the low energy consumption startup time and the low energy consumption startup frequency based on a preset high-low energy mapping relationship;

[0023] If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is greater than the cycle time, the reference high energy consumption startup time is adjusted according to the cycle time to determine the high energy consumption startup time and the high energy consumption startup frequency;

[0024] If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is less than or equal to the cycle time, the reference high energy consumption startup time and the reference high energy consumption startup frequency are determined as the high energy consumption startup time and the high energy consumption startup frequency.

[0025] Furthermore, the sending of the energy-saving collection instruction to the electric energy meter based on the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time, and the high energy consumption startup frequency includes:

[0026] Configuring the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time and the high energy consumption startup frequency in a command trigger;

[0027] When it is detected that the daily energy consumption of the electric energy meter is greater than a preset consumption threshold, the instruction trigger is activated.

[0028] Furthermore, the method further comprises:

[0029] Acquire the first power data collected by the electric energy meter when executing the low-energy consumption startup time and the low-energy consumption startup frequency, and the second power data collected when executing the high-energy consumption startup time and the high-energy consumption startup frequency;

[0030] If the ratio of the first power data to the second power data is greater than a preset ratio threshold, the low-energy consumption startup time or the high-energy consumption startup time is adjusted based on a multiple of the ratio.

[0031] Furthermore, the method further comprises:

[0032] An energy-saving curve is generated based on the difference between the first power data and the second power data, and energy-saving warning information is generated when the energy-saving curve exceeds a preset curve extreme value.

[0033] According to another aspect of the present invention, there is provided an energy-saving optimization system for an electric energy meter, comprising:

[0034] An initialization module, used to initialize a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state;

[0035] An acquisition module, configured to acquire, after the cache component is initialized, a cycle duration configured for the electric energy meter and cycle power data collected according to the cycle duration, and determine an energy-saving collection time based on the cycle duration and the cycle power data;

[0036] A determination module, configured to determine a low energy consumption start time and a low energy consumption start frequency of a low energy consumption state based on the energy-saving acquisition time, and determine a high energy consumption start time and a high energy consumption start frequency in combination with the low energy consumption start time, the low energy consumption start frequency and the cycle duration;

[0037] The sending module is used to send an energy-saving collection instruction to the electric energy meter based on the low-energy consumption startup time, the low-energy consumption startup frequency, the high-energy consumption startup time and the high-energy consumption startup frequency, so as to drive the electric energy meter to perform energy-saving transmission.

[0038] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the energy-saving optimization method of the electric energy meter as described above.

[0039] According to another aspect of the present invention, there is provided a terminal, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0040] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the energy-saving optimization method of the electric energy meter.

[0041] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0042] The present invention provides an energy-saving optimization method and system for an electric energy meter. Compared with the prior art, the embodiment of the present invention initializes a cache component in the electric energy meter by wireless communication, and the cache component is used to cache the electric power data collected at a low frequency in a low energy consumption state; when the cache component completes the initialization, the cycle duration configured for the electric energy meter and the periodic electric power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the periodic electric power data; based on the energy-saving collection time, the low energy consumption start-up time and the low energy consumption start-up frequency of the low energy consumption state are determined, and the high energy consumption start-up time and the high energy consumption start-up frequency are determined in combination with the low energy consumption start-up time, the low energy consumption start-up frequency and the cycle duration; based on the low energy consumption start-up time, the low energy consumption start-up frequency, the high energy consumption start-up time and the high energy consumption start-up frequency, the energy-saving collection instruction is sent to the electric energy meter to drive the electric energy meter to perform energy-saving transmission, so that the electric energy meter can run in a low energy consumption state while ensuring the integrity of the electric power data transmission, which greatly reduces the running time of the communication component used for data transmission of the electric energy meter, reduces the power consumption of the communication component, and thus reduces the energy consumption of the operation of the electric energy meter.

[0043] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0045] Figure 1 A flow chart of an energy-saving optimization method for an electric energy meter provided by an embodiment of the present invention is shown;

[0046] Figure 2 A flow chart of another energy-saving optimization method for an electric energy meter provided by an embodiment of the present invention is shown;

[0047] Figure 3 A block diagram of an energy-saving optimization system for an electric energy meter provided by an embodiment of the present invention is shown;

[0048] Figure 4 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0049] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0050] The embodiment of the present invention provides an energy-saving optimization method for an electric energy meter, such as Figure 1 As shown, the method includes:

[0051] 101. Initialize the cache component in the electric energy meter through wireless communication.

[0052] In the embodiment of the present invention, the current execution subject is a server of the power system management platform, which may be a local server or a cloud server, and the embodiment of the present invention does not specifically limit it. The electric energy meter is an electric energy meter configured with a wireless communication component and a cache component. In order to obtain the electric energy data collected by the electric energy meter, the current execution subject needs to establish a wireless communication connection with the electric energy meter and initialize the parameters of the cache component.

[0053] It should be noted that the cache component is used to cache the low-frequency collected electricity data in a low-energy consumption state. In other words, the operation of the electric energy meter includes two operating states: low energy consumption and high energy consumption. In the low energy consumption state, the electric energy meter does not transmit the collected electricity data to the power system management platform in real time, but stores it in the cache component. In the case where the electric energy meter does not transmit data with the power system management platform, there is no need to continuously run the communication component in the electric energy meter. As a key component for data transmission between the electric energy meter and the power system management platform, the communication component is also the main energy-consuming component. By configuring the cache component in the electric energy meter, the intermittent operation of the communication component can be achieved on the basis of ensuring the complete collection of electricity data, so as to greatly reduce the energy consumption of the electric energy meter.

[0054] In one embodiment of the present invention, for further explanation and limitation, the initializing the cache component in the electric energy meter by wireless communication includes:

[0055] When it is detected that the electric energy meter completes wireless communication with the control platform, the cache space size, cache clearing frequency, and cache data mode of the cache component in the electric energy meter are obtained;

[0056] The initialization parameters corresponding to the cache space size, the cache clearing frequency, and the cache data mode are queried according to the preset electric energy meter cache mapping relationship.

[0057] In an embodiment of the present invention, the current execution subject configures the operating parameters of the electric energy meter through the control platform. Therefore, after initializing the cache component, it is necessary to first establish a wireless communication connection between the control platform and each electric energy meter. Specifically, the control platform can be instructed to send a communication connection instruction to each electric energy meter so that the control platform can establish a communication connection between each electric energy meter and the control platform according to the instruction reply of the electric energy meter. After determining that the wireless communication between the control platform and the electric energy meter is established, the current execution subject obtains the cache space size, cache clearing frequency, and cache data mode of the cache component in the electric energy meter. Among them, the cache clearing frequency data is cleared and refilled. The cache data mode includes a read-write mode (such as sequential read-write, random read-write), data consistency (ensuring the consistency of the data in the cache with the actual measured data of the electric energy meter), and an update strategy (such as new data overwriting old data, data merging). Different cache space sizes, cache clearing frequencies, and cache data modes correspond to different initialization parameters. The specific corresponding relationship is queried by presetting the electric energy meter cache mapping relationship. Among them, the initialization parameters include cache available space, cache data reading and writing methods, and the preset electricity meter cache mapping relationship can be a preset data list, in which different cache space sizes, cache clearing frequencies, cache data methods and the corresponding cache available space and cache data reading and writing methods are pre-configured. Specifically, the cache available space is determined according to the cache space size, and the cache available space can be less than or equal to the extreme value of the cache space size. The cache data reading and writing method is determined according to the cache clearing frequency and the cache data method, that is, the timing of reading data relative to writing data. For example, when 100 pieces of electricity data are written, reading begins. By configuring the initialization parameters of the cache component, the security of electricity data storage can be guaranteed while achieving the rational use of the cache component storage space.

[0058] 102. After the cache component is initialized, the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the cycle power data.

[0059] In an embodiment of the present invention, the electric energy meter collects electric power data in a certain cycle, and the cycle duration is the length of time for collecting electric power data in one cycle of the electric energy meter. In order to determine the energy-saving collection time, the electric power data (cycle electric power data) collected by the electric energy meter in the previous cycle duration is obtained. Then, according to the cycle duration and the cycle electric power data, the time when the current execution subject collects electric power data from the electric energy meter is determined, that is, the energy-saving collection time. The energy-saving collection time is a sequence of multiple discontinuous time points, and whether the energy-saving collection time is distributed densely or sparsely is determined according to the cycle duration and the cycle electric power data. For example, if the cycle duration is short and there is more cycle electric power data, the density of the energy-saving collection time distribution is higher. If the cycle duration is long and there is less cycle electric power data, the density of the energy-saving collection time distribution is lower.

[0060] In an embodiment of the present invention, for further explanation and limitation, as Figure 2 As shown, the acquiring of the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration, and determining the energy-saving collection time based on the cycle duration and the cycle power data includes:

[0061] 201. Determine a configured cycle duration based on a device model of the electric energy meter.

[0062] 202. Obtaining electricity data in a historical cycle according to the cycle duration.

[0063] 203. Use the three-layer convolutional neural network model that has completed model training to predict the periodic power data and the period duration to obtain energy-saving collection time.

[0064] In an embodiment of the present invention, the energy-saving collection time is determined by using a neural network model prediction method. Since different models of electric energy meters support different power data collection frequencies, it is necessary to determine the data collection frequency supported by the current electric energy meter according to the device model, and select a cycle duration configured as the current electric energy meter from the data collection frequency. In order to determine the real-time situation of the electric energy data collected by the current electric energy meter, the electric energy data collected within the previous cycle duration (historical cycle) at the current time point is obtained. Then, the three-layer convolutional neural network model that has completed model training is used to predict the cycle electric energy data and the cycle duration to obtain the energy-saving collection time that matches the cycle electric energy data and the cycle duration.

[0065] The layer convolutional neural network model includes an input layer, a hidden layer and an output layer. The input layer is used to receive the input cycle power data and cycle duration data. Before the cycle power data and cycle duration are input into the layer convolutional neural network model, normalization processing is required to ensure the accuracy of the prediction. The hidden layer includes multiple convolutional layers, pooling layers and fully connected layers. Among them, the convolutional layer performs convolution calculation with the input data through a sliding convolution kernel to extract the characteristic information in the input cycle power data and cycle duration, such as the periodic changes and trends of the power data. The pooling layer is used to downsample the output of the convolutional layer, reduce the number of parameters, reduce the scale of the model, and avoid overfitting. The pooling method can be maximum pooling or average pooling. The fully connected layer is used to integrate the feature information extracted by the convolutional layer and the pooling layer, and predict the energy-saving acquisition time through weight calculation to obtain one or more predicted values ​​representing the energy-saving acquisition time.

[0066] The three-layer convolutional neural network model that has completed model training is trained based on training samples constructed based on historical data. Among them, the training samples are constructed based on historical cycle power data and historical cycle duration marked with energy-saving collection time, including a variety of different combinations of power data and cycle duration. During the training process, the loss function is calculated based on the marked energy-saving collection time and the weight of the network is updated to obtain a three-layer convolutional neural network model that has completed model training. The energy-saving collection time is predicted by the pre-trained neural network model, which improves the efficiency of selecting the energy-saving collection time while ensuring the accuracy of the prediction, thereby providing accurate data basis for the subsequent configuration of low-energy consumption startup time and high-energy consumption startup time.

[0067] 103. Determine a low energy consumption startup time and a low energy consumption startup frequency in a low energy consumption state based on the energy-saving collection time, and determine a high energy consumption startup time and a high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency, and the cycle duration.

[0068] In an embodiment of the present invention, the low energy consumption start time, that is, stopping the data transmission between the communication component and the current execution subject, and storing the collected power data in the cache component. Among them, the low energy consumption start time and the low energy consumption start frequency can be determined according to the energy-saving collection time. The low energy consumption start time can be any time point in the energy-saving collection time, for example, an intermediate time point, a starting time point, etc., which is not specifically limited in the embodiment of the present invention. In the low energy consumption state, different low energy consumption start frequencies are also included. The low energy consumption start frequency refers to the start frequency of the low energy consumption state of the electric energy meter. The high energy consumption start frequency refers to the start frequency of the high energy consumption state of the electric energy meter. In addition to the low energy consumption state, the electric energy meter also includes a high energy consumption state. After determining the low energy consumption start time and the low energy consumption start frequency, the high energy consumption start time and the high energy consumption start frequency can be determined according to the low energy consumption start time and the low energy consumption start frequency.

[0069] In one embodiment of the present invention, for further explanation and limitation, the low energy consumption start time and low energy consumption start frequency of the low energy consumption state determined based on the energy-saving acquisition time include:

[0070] If the collection interval of the energy-saving collection time is greater than the peak time interval and less than the valley time interval, the middle time point of the energy-saving collection time is determined as the low-energy startup time, and the low-energy startup frequency is selected from the credible low-energy startup frequencies according to the middle value;

[0071] If the collection interval of the energy-saving collection time is greater than the valley time interval, subtract the collection interval of the energy-saving collection time based on the first preset adjustment time difference to obtain the low-energy startup time, and select the low-energy startup frequency from the credible low-energy startup frequencies according to the maximum value;

[0072] If the collection interval of the energy-saving collection time is less than the peak time interval, the energy-saving collection time is added based on the second preset adjustment time difference to obtain the low-energy consumption start time, and the low-energy consumption start frequency is selected from the credible energy consumption start frequencies according to the minimum value;

[0073] The determining of the high energy consumption startup time and the high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency, and the cycle duration comprises:

[0074] Determine a reference high energy consumption startup time and a reference high energy consumption startup frequency corresponding to the low energy consumption startup time and the low energy consumption startup frequency based on a preset high-low energy mapping relationship;

[0075] If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is greater than the cycle time, the reference high energy consumption startup time is adjusted according to the cycle time to determine the high energy consumption startup time and the high energy consumption startup frequency;

[0076] If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is less than or equal to the cycle time, the reference high energy consumption startup time and the reference high energy consumption startup frequency are determined as the high energy consumption startup time and the high energy consumption startup frequency.

[0077] In the embodiment of the present invention, the time interval for the electric energy meter to collect the electric energy data is different during the peak period of the electric load and the valley period of the electric load. The peak period of the electric load corresponds to the peak time interval, and the valley period of the electric load corresponds to the valley time interval. The peak time interval and the valley time interval can be obtained based on the statistics of historical electric energy collection data. Since the speed of generating electric energy data during the peak period of the electric load is much faster than that during the valley period of the electric load, the valley time interval is longer than the peak time interval. The energy-saving collection time is a discontinuous time period, and the collection interval should be the time length between the peak time interval and the valley time interval. When it is greater than the peak time interval and less than the valley time interval, the middle time point of the energy-saving collection time can be directly configured as the low-energy startup time. The low-energy startup frequency can select a reliable low-energy startup frequency at the middle value position among multiple reliable low-energy startup frequencies. Among them, the reliable low-energy startup frequency is determined in advance according to the historical operating frequency of the electric energy meter in the low-energy state, and the specific value can be customized according to the application scenario, and the embodiment of the present invention does not make specific restrictions.

[0078] When the collection interval of the energy-saving collection time is greater than the valley time interval, it indicates that the interval between the two energy-saving collection times is too long, which may easily lead to the loss of power data in the cache component. It is necessary to reduce the collection interval of the energy-saving collection time based on the first preset adjustment time difference, and determine the middle time point of the reduced energy-saving collection time as the low-energy startup time. Among them, the first preset adjustment time difference is a pre-configured time length value, and the difference between the collection interval and the first preset adjustment time difference is used as the reduction adjustment result of the energy-saving collection time. Since the collection interval is large, the maximum value of the credible low-energy startup frequency is selected to match the collection interval.

[0079] When the collection interval of the energy-saving collection time is less than the peak time interval, it indicates that the interval between the two energy-saving collection times is too short, the overall operation time of the communication component is long, and the energy-saving effect is not good. Therefore, the collection interval of the energy-saving collection time is amplified and adjusted based on the second preset adjustment time difference, and the middle time point of the amplified energy-saving collection time is determined as the low-energy startup time. Among them, the second preset adjustment time difference is a pre-configured time length value, and the difference between the collection interval and the second preset adjustment time difference is used as the amplification adjustment result of the energy-saving collection time. Since the collection interval is small, the minimum value of the credible low-energy startup frequency is selected to match the collection interval.

[0080] After determining the preset high-low energy mapping relationship low energy consumption start-up time and low energy consumption start-up frequency, extract the reference high energy consumption start-up time and reference high energy consumption start-up frequency that match the low energy consumption start-up time and low energy consumption start-up frequency from the preset high-low energy mapping relationship. Among them, the preset high-low energy mapping relationship includes the mapping relationship between different pre-configured low energy consumption start-up times and low energy consumption start-up frequencies and different reference high energy consumption start-up times and reference high energy consumption start-up frequencies. Further, the time length of each power data transmission, that is, the unit time length, can be calculated according to the reciprocal of the reference high energy consumption start-up frequency. If the unit time length is greater than the cycle length, it indicates that the current high energy consumption start-up frequency does not meet the density data collection requirements, and it is necessary to reduce and adjust the start interval between the reference high energy consumption start-up times according to the cycle length, and match the high energy consumption start-up frequency according to the reduced high energy consumption start-up time. If the unit time length is less than or equal to the cycle length, the reference high energy consumption start-up time and the reference high energy consumption start-up frequency can be directly determined as the high energy consumption start-up time and the high energy consumption start-up frequency.

[0081] 104. Send an energy-saving collection instruction to the electric energy meter based on the low-energy consumption startup time, the low-energy consumption startup frequency, the high-energy consumption startup time, and the high-energy consumption startup frequency to drive the electric energy meter to perform energy-saving transmission.

[0082] In the embodiment of the present invention, the current execution subject generates an energy-saving collection instruction carrying a low-energy startup time, a low-energy startup frequency, a high-energy startup time, and a high-energy startup frequency, and sends it to the electric energy meter. After receiving the energy-saving collection instruction, the electric energy meter can configure the communication component in the electric energy meter according to the low-energy startup time, the low-energy startup frequency, the high-energy startup time, and the high-energy startup frequency, so that the communication component can start the corresponding energy consumption state according to the low-energy startup time and the high-energy startup time, and transmit the power data according to the corresponding startup frequency.

[0083] It should be noted that by determining the low-energy start-up time, low-energy start-up frequency, high-energy start-up time and high-energy start-up frequency of the electric energy meter, and driving the electric energy meter to operate in different energy consumption states, it is possible to ensure the integrity of the electric power data collection while greatly reducing the operating energy consumption of the electric energy meter. In addition, by remotely configuring the energy consumption state of the electric energy meter, remote management of the electric energy meter operation mode can be achieved, avoiding reliance on manual settings of electric energy, and also improving the flexibility and timeliness of the electric energy meter configuration.

[0084] In one embodiment of the present invention, for further explanation and limitation, the sending of the energy-saving collection instruction to the electric energy meter based on the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time, and the high energy consumption startup frequency includes:

[0085] Configuring the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time and the high energy consumption startup frequency in a command trigger;

[0086] When it is detected that the daily energy consumption of the electric energy meter is greater than a preset consumption threshold, the instruction trigger is activated.

[0087] In the embodiment of the present invention, whether the energy-saving collection instruction is sent or not is triggered by the energy consumption of the electric energy meter. The daily energy consumption is the amount of energy consumed by the daily operation of the electric energy meter. It can be determined based on the energy consumption of the previous day, or it can be determined based on the average value of the energy consumption collected on multiple previous natural days. The embodiment of the present invention does not make specific limitations. When the daily energy consumption of the electric energy meter is greater than the preset consumption threshold, it indicates that the current energy consumption of the electric energy meter is large and energy-saving optimization is required to reduce the energy consumption. Then, the instruction trigger is started to trigger the current execution subject to send the energy-saving collection instruction to the corresponding electric energy meter. It should be noted that the energy consumption of the electric energy meter is related to multiple factors such as the equipment model, equipment performance, and electricity consumption habits of electricity users. Not all electric energy meters need to be optimized for energy saving. By configuring the instruction trigger, the pertinence of energy-saving optimization can be improved, and the consumption of processing resources in the energy-saving optimization data processing process can be reduced.

[0088] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0089] Acquire the first power data collected by the electric energy meter when executing the low-energy consumption startup time and the low-energy consumption startup frequency, and the second power data collected when executing the high-energy consumption startup time and the high-energy consumption startup frequency;

[0090] If the ratio of the first power data to the second power data is greater than a preset ratio threshold, the low-energy consumption startup time or the high-energy consumption startup time is adjusted based on a multiple of the ratio.

[0091] In an embodiment of the present invention, an energy-saving collection instruction is sent to the electric energy meter, so that the electric energy meter sends the collected power data to the current execution subject according to the low energy consumption start-up time, the low energy consumption start-up frequency, the high energy consumption start-up time and the high energy consumption start-up frequency. Among them, the first power data is the power data sent by the electric energy meter to the current execution subject at the low energy consumption start-up time and the low energy consumption start-up frequency. The second power data is the power data sent by the electric energy meter to the current execution subject at the high energy consumption start-up time and the high energy consumption start-up frequency. The power data collected in the high energy consumption state should be much larger than the power data collected in the low energy consumption state. Therefore, the difference between the two is measured based on the ratio of the first power data to the second power data. The larger the difference, the smaller the ratio. If the ratio is greater than the preset ratio threshold, it indicates that the difference is small, and the configuration of the low energy consumption start-up time, the low energy consumption start-up frequency, the high energy consumption start-up time and the high energy consumption start-up frequency does not match the amount generated by the current power data, and it is necessary to adjust any one of the low energy consumption start-up time and the high energy consumption start-up time. The adjustment is specifically based on the ratio multiple of the first power data to the second power data. For example, if the ratio is 1 / 2, the high energy consumption startup time is moved to the low energy consumption startup time by 10×0.5 minutes. The preset ratio threshold may be 1 / 4, the adjustment multiple may be 10, or may be customized according to actual application requirements, which is not specifically limited in the embodiments of the present invention.

[0092] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0093] An energy-saving curve is generated based on the difference between the first power data and the second power data, and energy-saving warning information is generated when the energy-saving curve exceeds a preset curve extreme value.

[0094] In an embodiment of the present invention, in order to more intuitively display the difference between the first power data and the second power data, an energy-saving curve is generated based on the difference between the first power data and the second power data. And the energy-saving curve is constrained based on a preset curve extreme value. When the energy-saving curve exceeds the preset curve extreme value, it indicates that the first power data is close to the second power data, or exceeds the second power data, and there is a serious deviation in the setting of the energy-saving parameter, and an early warning is required, so energy-saving early warning information is generated to indicate manual intervention to confirm and intervene in the abnormal situation. Among them, the preset curve extreme value can be 0 or a value close to 0, which is not specifically limited in the embodiment of the present invention.

[0095] The present invention provides an energy-saving optimization method for an electric energy meter. Compared with the prior art, the embodiment of the present invention initializes a cache component in the electric energy meter by wireless communication, and the cache component is used to cache the electric power data collected at a low frequency in a low energy consumption state; when the cache component completes the initialization, the cycle duration configured for the electric energy meter and the periodic electric power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the periodic electric power data; based on the energy-saving collection time, the low energy consumption start-up time and the low energy consumption start-up frequency of the low energy consumption state are determined, and the high energy consumption start-up time and the high energy consumption start-up frequency are determined in combination with the low energy consumption start-up time, the low energy consumption start-up frequency and the cycle duration; based on the low energy consumption start-up time, the low energy consumption start-up frequency, the high energy consumption start-up time and the high energy consumption start-up frequency, the energy-saving collection instruction is sent to the electric energy meter to drive the electric energy meter to perform energy-saving transmission, so that the electric energy meter can run in a low energy consumption state while ensuring the integrity of the electric power data transmission, which greatly reduces the running time of the communication component used for data transmission of the electric energy meter, reduces the power consumption of the communication component, and thus reduces the energy consumption of the electric energy meter operation.

[0096] Furthermore, as a response to the above Figure 1 The embodiment of the present invention provides an energy-saving optimization system for an electric energy meter, such as Figure 3 As shown, the system includes:

[0097] An initialization module 31 is used to initialize a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state;

[0098] The acquisition module 32 is used to acquire the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration after the cache component is initialized, and determine the energy-saving collection time based on the cycle duration and the cycle power data;

[0099] A determination module 33 is used to determine a low energy consumption start time and a low energy consumption start frequency of a low energy consumption state based on the energy-saving acquisition time, and to determine a high energy consumption start time and a high energy consumption start frequency in combination with the low energy consumption start time, the low energy consumption start frequency and the cycle duration;

[0100] The sending module 34 is used to send an energy-saving collection instruction to the electric energy meter based on the low-energy consumption startup time, the low-energy consumption startup frequency, the high-energy consumption startup time and the high-energy consumption startup frequency, so as to drive the electric energy meter to perform energy-saving transmission.

[0101] Furthermore, the initialization module 31 includes:

[0102] An acquisition unit, configured to acquire a cache space size, a cache clearing frequency, and a cache data mode of a cache component in the electric energy meter after detecting that the electric energy meter has completed wireless communication with the control platform;

[0103] The query unit is used to query the initialization parameters corresponding to the cache space size, the cache clearing frequency, and the cache data mode according to the preset electric energy meter cache mapping relationship, and the initialization parameters include cache available space and cache data reading and writing mode.

[0104] Furthermore, the acquisition module includes:

[0105] A configuration unit, configured to determine a configured cycle duration based on a device model of the electric energy meter;

[0106] A determination unit, used to obtain the power data in the historical cycle according to the cycle duration;

[0107] The prediction unit is used to predict the periodic power data and the periodic duration by using the three-layer convolutional neural network model that has completed model training to obtain the energy-saving collection time.

[0108] Furthermore, the determination module 33 includes:

[0109] A first selection unit is configured to determine the middle time point of the energy-saving collection time as the low-energy consumption start time if the collection interval of the energy-saving collection time is greater than the peak time interval and less than the valley time interval, and select the low-energy consumption start frequency from the credible low-energy consumption start frequency according to the middle value;

[0110] A second selection unit is configured to, if the collection interval of the energy-saving collection time is greater than the valley time interval, subtract the collection interval of the energy-saving collection time based on the first preset adjustment time difference to obtain the low-energy consumption start time, and select the low-energy consumption start frequency from the credible low-energy consumption start frequencies according to the maximum value;

[0111] a third selection unit, configured to add the energy-saving collection time based on a second preset adjustment time difference to obtain a low-energy consumption start time if the collection interval of the energy-saving collection time is less than the peak time interval, and select a low-energy consumption start frequency from the credible energy consumption start frequencies according to a minimum value;

[0112] The determination module 33 includes:

[0113] A first determining unit, configured to determine a reference high energy consumption startup time and a reference high energy consumption startup frequency corresponding to the low energy consumption startup time and the low energy consumption startup frequency based on a preset high-low energy mapping relationship;

[0114] A second determining unit is used to adjust the reference high energy consumption start time according to the cycle duration to determine the high energy consumption start time and the high energy consumption start frequency if the unit time length determined by the reference high energy consumption start time and the reference high energy consumption start frequency is greater than the cycle duration;

[0115] The third determination unit is used to determine the reference high energy consumption start-up time and the reference high energy consumption start-up frequency as the high energy consumption start-up time and the high energy consumption start-up frequency if the unit time length determined by the reference high energy consumption start-up time and the reference high energy consumption start-up frequency is less than or equal to the cycle length.

[0116] Furthermore, the sending module 34 includes:

[0117] A configuration unit, configured to configure the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time and the high energy consumption startup frequency in a command trigger;

[0118] A starting unit is used to start the instruction trigger when it is detected that the daily energy consumption of the electric energy meter is greater than a preset consumption threshold.

[0119] Furthermore, the system further comprises:

[0120] The acquisition module is further used to acquire the first power data collected by the electric energy meter when executing the low energy consumption startup time and the low energy consumption startup frequency, and the second power data collected when executing the high energy consumption startup time and the high energy consumption startup frequency;

[0121] An adjustment module is used to adjust the low-energy consumption startup time or the high-energy consumption startup time based on a multiple of the ratio if the ratio of the first power data to the second power data is greater than a preset ratio threshold.

[0122] Furthermore, the system further comprises:

[0123] The early warning module is used to generate an energy-saving curve based on the difference between the first power data and the second power data, and generate energy-saving early warning information when the energy-saving curve exceeds a preset curve extreme value.

[0124] The present invention provides an energy-saving optimization system for an electric energy meter. Compared with the prior art, the embodiment of the present invention initializes a cache component in the electric energy meter by wireless communication, and the cache component is used to cache the electric power data collected at a low frequency in a low energy consumption state; when the cache component completes the initialization, the cycle duration configured for the electric energy meter and the periodic electric power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the periodic electric power data; based on the energy-saving collection time, the low energy consumption start-up time and the low energy consumption start-up frequency of the low energy consumption state are determined, and the high energy consumption start-up time and the high energy consumption start-up frequency are determined in combination with the low energy consumption start-up time, the low energy consumption start-up frequency and the cycle duration; based on the low energy consumption start-up time, the low energy consumption start-up frequency, the high energy consumption start-up time and the high energy consumption start-up frequency, the energy-saving collection instruction is sent to the electric energy meter to drive the electric energy meter to perform energy-saving transmission, so that the electric energy meter can run in a low energy consumption state while ensuring the integrity of the electric power data transmission, which greatly reduces the running time of the communication component used for data transmission of the electric energy meter, reduces the power consumption of the communication component, and thus reduces the energy consumption of the operation of the electric energy meter.

[0125] According to an embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the energy-saving optimization method of the electric energy meter in any of the above method embodiments.

[0126] Figure 4 A schematic diagram of the structure of a terminal provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the terminal.

[0127] like Figure 4 As shown, the terminal may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0128] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0129] The communication interface 404 is used to communicate with other devices such as clients or other servers.

[0130] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the above-mentioned energy-saving optimization method embodiment of the electric energy meter.

[0131] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0132] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the terminal may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0133] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0134] The program 410 may be specifically configured to enable the processor 402 to perform the following operations:

[0135] Initializing a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state;

[0136] After the cache component is initialized, the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the cycle power data;

[0137] Determine a low energy consumption startup time and a low energy consumption startup frequency in a low energy consumption state based on the energy-saving acquisition time, and determine a high energy consumption startup time and a high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency and the cycle duration;

[0138] An energy-saving collection instruction is sent to the electric energy meter based on the low-energy-consumption startup time, the low-energy-consumption startup frequency, the high-energy-consumption startup time, and the high-energy-consumption startup frequency to drive the electric energy meter to perform energy-saving transmission.

[0139] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0140] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing energy saving of an electric energy meter, characterized in that: include: Initializing a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state; After the cache component is initialized, the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration are obtained, and the energy-saving collection time is determined based on the cycle duration and the cycle power data; Determine a low energy consumption startup time and a low energy consumption startup frequency in a low energy consumption state based on the energy-saving acquisition time, and determine a high energy consumption startup time and a high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency and the cycle duration; An energy-saving collection instruction is sent to the electric energy meter based on the low-energy-consumption startup time, the low-energy-consumption startup frequency, the high-energy-consumption startup time, and the high-energy-consumption startup frequency to drive the electric energy meter to perform energy-saving transmission.

2. The method according to claim 1, characterized in that Initializing the cache component in the electric energy meter by wireless communication includes: When it is detected that the electric energy meter completes wireless communication with the control platform, the cache space size, cache clearing frequency, and cache data mode of the cache component in the electric energy meter are obtained; The initialization parameters corresponding to the cache space size, the cache clearing frequency, and the cache data mode are queried according to the preset electric energy meter cache mapping relationship, and the initialization parameters include cache available space and cache data reading and writing mode.

3. The method according to claim 1, characterized in that The acquiring of the cycle duration configured for the electric energy meter and the cycle power data collected according to the cycle duration, and determining the energy-saving collection time based on the cycle duration and the cycle power data includes: Determining a configured cycle duration based on a device model of the electric energy meter; Obtaining electricity data in historical cycles according to the cycle duration; The three-layer convolutional neural network model that has completed model training is used to predict the periodic power data and the period duration to obtain the energy-saving collection time.

4. The method according to claim 1, characterized in that: The low energy consumption start time and low energy consumption start frequency of the low energy consumption state determined based on the energy-saving acquisition time include: If the collection interval of the energy-saving collection time is greater than the peak time interval and less than the valley time interval, the middle time point of the energy-saving collection time is determined as the low-energy startup time, and the low-energy startup frequency is selected from the credible low-energy startup frequencies according to the middle value; If the collection interval of the energy-saving collection time is greater than the valley time interval, subtract the collection interval of the energy-saving collection time based on the first preset adjustment time difference to obtain the low-energy startup time, and select the low-energy startup frequency from the credible low-energy startup frequencies according to the maximum value; If the collection interval of the energy-saving collection time is less than the peak time interval, the energy-saving collection time is added based on the second preset adjustment time difference to obtain the low-energy consumption start time, and the low-energy consumption start frequency is selected from the credible energy consumption start frequencies according to the minimum value; The determining of the high energy consumption startup time and the high energy consumption startup frequency in combination with the low energy consumption startup time, the low energy consumption startup frequency, and the cycle duration comprises: Determine a reference high energy consumption startup time and a reference high energy consumption startup frequency corresponding to the low energy consumption startup time and the low energy consumption startup frequency based on a preset high-low energy mapping relationship; If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is greater than the cycle time, the reference high energy consumption startup time is adjusted according to the cycle time to determine the high energy consumption startup time and the high energy consumption startup frequency; If the unit time length determined by the reference high energy consumption startup time and the reference high energy consumption startup frequency is less than or equal to the cycle time, the reference high energy consumption startup time and the reference high energy consumption startup frequency are determined as the high energy consumption startup time and the high energy consumption startup frequency.

5. The method according to claim 1, characterized in that The sending of the energy-saving collection instruction to the electric energy meter based on the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time, and the high energy consumption startup frequency comprises: Configuring the low energy consumption startup time, the low energy consumption startup frequency, the high energy consumption startup time and the high energy consumption startup frequency in a command trigger; When it is detected that the daily energy consumption of the electric energy meter is greater than a preset consumption threshold, the instruction trigger is activated.

6. The method according to claim 1, characterized in that The method further comprises: Acquire the first power data collected by the electric energy meter when executing the low-energy consumption startup time and the low-energy consumption startup frequency, and the second power data collected when executing the high-energy consumption startup time and the high-energy consumption startup frequency; If the ratio of the first power data to the second power data is greater than a preset ratio threshold, the low-energy consumption startup time or the high-energy consumption startup time is adjusted based on a multiple of the ratio.

7. The method according to claim 6, characterized in that The method further comprises: An energy-saving curve is generated based on the difference between the first power data and the second power data, and energy-saving warning information is generated when the energy-saving curve exceeds a preset curve extreme value.

8. An energy-saving optimization system for an electric energy meter, characterized in that: include: An initialization module, used to initialize a cache component in the electric energy meter by wireless communication, wherein the cache component is used to cache electric energy data collected at a low frequency in a low energy consumption state; An acquisition module, configured to acquire, after the cache component is initialized, a cycle duration configured for the electric energy meter and cycle power data collected according to the cycle duration, and determine an energy-saving collection time based on the cycle duration and the cycle power data; A determination module, configured to determine a low energy consumption start time and a low energy consumption start frequency of a low energy consumption state based on the energy-saving acquisition time, and determine a high energy consumption start time and a high energy consumption start frequency in combination with the low energy consumption start time, the low energy consumption start frequency and the cycle duration; The sending module is used to send an energy-saving collection instruction to the electric energy meter based on the low-energy consumption startup time, the low-energy consumption startup frequency, the high-energy consumption startup time and the high-energy consumption startup frequency, so as to drive the electric energy meter to perform energy-saving transmission.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the energy-saving optimization method of an electric energy meter as described in any one of claims 1 to 7.

10. A terminal, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the energy-saving optimization method of the electric energy meter according to any one of claims 1-7.

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