Method and system for identifying post-meter power failure based on current timing characteristics, equipment and medium
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-15
- Publication Date
- 2026-08-11
AI Technical Summary
[0002]在低压配电台区运行中，用户报修和主站告警中大量的疑似停电事件实际上并非由电网设备故障引起，而是由用户侧（即表后）开关跳闸、设备断电、负荷主动关闭等表后停电行为导致的，因此，如果无法及时识别表后停电事件，会导致系统无效派发抢修单，导致抢修资源浪费
本发明的基于电流时序特征的表后停电识别方法，先通过电能表实时采集用户侧的电流数据序列，然后，利用时间窗口在电流数据序列中不断滑动进行电流稳态识别，当识别出窗口内电流处于稳态时，意味着此时用户侧的用电状态是正常的，在完成稳态识别后继续滑动时间窗口，基于预设的停电判断条件识别表后停电事件，意味着用户侧从正常状态切换至停电状态，整个表后停电识别过程仅依赖电能表实时采集的电流数据，可在用户侧侧本地执行，无需再上传至主站，消除了数据周期性采集导致的滞后性，从而可以实时感知表后停电事件。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of power system outage detection and analysis technology, and in particular to a method and system for identifying outages after meter reading based on current timing characteristics, as well as electronic equipment and computer-readable storage media. Background Technology
[0002] In low-voltage distribution substation operations, many suspected power outages reported by users and alarms from the master station are not actually caused by grid equipment failures, but by downstream power outage behaviors such as switch tripping, equipment de-energization, and load shutdown on the user side (i.e., after the meter). Therefore, if downstream power outages cannot be identified in a timely manner, the system will ineffectively dispatch emergency repair orders, resulting in a waste of emergency repair resources. The existing power outage judgment method involves the master station periodically collecting voltage and current data from the user side for power outage analysis. If there is no voltage and no current on the user side, the master station determines it to be a downstream power outage; if there is voltage but no current, the master station determines it to be a downstream power outage. The data collection cycle is usually 15 minutes, or even 30 minutes or 1 hour. Due to the lag caused by the periodic data collection, the existing power outage judgment method cannot detect downstream power outages in a timely manner. Summary of the Invention
[0003] This invention provides a method and system for identifying power outages after the meter based on current timing characteristics, as well as an electronic device and a computer-readable storage medium. It can eliminate the lag caused by periodic data acquisition, thereby enabling real-time detection of power outage events after the meter.
[0004] According to one aspect of the present invention, a post-meter power outage identification method based on current timing characteristics is provided, comprising the following: Real-time acquisition of current data sequences from the user side; The time window is continuously slid across the current data sequence until a steady state of current is identified. The time window is used to continue sliding in the current data sequence, and power outage events are identified based on preset power outage judgment conditions.
[0005] Furthermore, as the time window slides continuously in the current data sequence, if the current value of all sampling points within the time window is greater than the preset minimum steady-state threshold at a certain moment, and the difference between the maximum and minimum current values within the time window is not greater than the steady-state fluctuation threshold, then the current within the current time window is determined to be in a steady state, the current time window is a steady-state window, and the steady-state characteristic value of the steady-state window is recorded.
[0006] Furthermore, the process of identifying power outage events based on a preset power outage judgment condition table includes the following: If the current values of all sampling points within a certain time window are less than or equal to the preset power outage current threshold, then the current time window is considered a candidate power outage window. If the following conditions are also met at the same time: the duration of the candidate power outage window is greater than or equal to the minimum duration threshold, there is a valid historical steady-state window, and it is not yet in a confirmed power outage state, then it is determined that a power outage event has occurred at the current time, and the current time window is a power outage window.
[0007] Furthermore, it also includes the following: The user-side state is managed based on a state machine control mechanism.
[0008] Furthermore, the state machine includes a normal state, a power outage confirmation state, and a power restoration confirmation state. The normal state indicates that no power outage has occurred after the meter reading. The power outage confirmation state indicates that a power outage after the meter reading has been detected and reported. The power restoration confirmation state indicates that after the power outage after the meter reading was detected, the current is again identified as being in a steady state. The state transition rules are as follows: when in the normal state and the preset power outage judgment conditions are met, the state machine switches to the power outage confirmation state; when in the power outage confirmation state and the current is identified as being in a steady state, the state machine switches to the power restoration confirmation state; when in the power restoration confirmation state, the state machine automatically switches to the normal state or waits for the next steady-state current recognition.
[0009] Furthermore, for three-phase users, each phase is individually identified for steady-state current and power outage events after the meter. When multiple phases identify power outage events after the meter within the same time window, it is determined to be a multi-phase power outage event and reported. If only some phases identify power outage events after the meter within a certain time window, a preset time is delayed to wait for the power outage identification results of the other phases. If the other phases also identify power outage events after the preset delay time, it is determined to be a multi-phase power outage event and reported; otherwise, no report is made.
[0010] Furthermore, it also includes the following: Power outage events are filtered based on a preset screening mechanism before being reported.
[0011] In addition, the present invention also provides a post-meter power outage identification system based on current timing characteristics, comprising: The current data acquisition module is used to acquire the current data sequence from the user side in real time. The steady-state identification module is used to continuously slide a time window through the current data sequence until the current is identified as being in a steady state. The downstream power outage identification module is used to continue sliding a time window in the current data sequence and identify downstream power outage events based on preset power outage judgment conditions.
[0012] In addition, the present invention also provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method described above by calling the computer program stored in the memory.
[0013] In addition, the present invention also provides a computer-readable storage medium for storing a computer program for identifying power outages after metering based on current timing characteristics, wherein the computer program executes the steps of the method described above when running on a computer.
[0014] The present invention has the following beneficial effects: The current-time sequence-based power outage identification method of the present invention first collects the current data sequence of the user side in real time through the energy meter. Then, it uses a time window to continuously slide within the current data sequence to identify the steady state of the current. When the current is identified to be in a steady state within the window, it means that the power consumption status of the user side is normal. After completing the steady state identification, the time window continues to slide, and the power outage event after the meter is identified based on the preset power outage judgment conditions. This means that the user side has switched from a normal state to a power outage state. The entire power outage identification process after the meter only relies on the current data collected in real time by the energy meter and can be executed locally on the user side without uploading to the main station. This eliminates the lag caused by the periodic data collection and thus can detect power outage events after the meter in real time.
[0015] In addition, the post-meter power outage identification system based on current timing characteristics of the present invention also has the above-mentioned advantages.
[0016] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the figures. Attached Figure Description
[0017] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart illustrating a preferred embodiment of the post-meter power outage identification method based on current timing characteristics. Figure 2 This is another flowchart illustrating the post-meter power outage identification method based on current timing characteristics, according to a preferred embodiment of this application. Figure 3 This is another flowchart illustrating the post-meter power outage identification method based on current timing characteristics, a preferred embodiment of this application. Figure 4 This is a schematic diagram of the module structure of a power outage identification system based on current timing characteristics according to another embodiment of this application. Detailed Implementation
[0018] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.
[0019] Reference Figure 1 A preferred embodiment of this application provides a post-meter power outage identification method based on current timing characteristics, including the following: Step S1: Real-time acquisition of current data sequences from the user side; Step S2: Use a time window to continuously slide through the current data sequence until the current is identified as being in a steady state; Step S3: Continue sliding the time window through the current data sequence to identify subsequent power outage events based on preset power outage judgment conditions.
[0020] As can be understood, the current-time-series-based power outage identification method in this embodiment first collects the current data sequence from the user side in real time through the electricity meter. Then, it uses a time window to continuously slide within the current data sequence to perform steady-state current identification. When the current is identified to be in a steady state within the window, it means that the power consumption status of the user side is normal. After completing the steady-state identification, the time window continues to slide, and the power outage event after the meter is identified based on the preset power outage judgment conditions. This means that the user side has switched from a normal state to a power outage state. The entire power outage identification process after the meter only relies on the current data collected in real time by the electricity meter and can be executed locally on the user side without having to be uploaded to the main station. This eliminates the lag caused by the periodic data collection and allows for real-time detection of power outage events after the meter.
[0021] In step S1, the electricity meter collects real-time RMS current data from the user side. The sampling period can be on the order of seconds or even cycles, depending on the meter's sampling frequency. This invention uses a second-level sampling period as an example and does not impose specific limitations. Furthermore, for single-phase users, a single-phase current RMS data sequence is collected from the user side using a single-phase electricity meter. For three-phase users, a three-phase current RMS data sequence is collected from the user side using a three-phase electricity meter. In the current RMS data sequence, the current RMS data at each moment are sorted sequentially in monotonically increasing order of timestamps. Additionally, abnormal data (e.g., missing, jump, time duplicates) in the current RMS data sequence need to be marked.
[0022] In addition, in step S2, a time window is constructed. The length and sliding step size of the time window can be set according to actual needs. For example, the time window length can be set to 3s, 5s, 10s, etc., and the sliding step size can be set to 1s, 2s, 3s, etc. The time window is continuously slid across the current data sequence. If the current values of all sampling points within the time window are greater than the preset minimum steady-state threshold at a certain moment... Furthermore, the difference between the maximum and minimum current values within the time window is no greater than the steady-state fluctuation threshold. If the current is in a steady state within the current time window, then the current time window is considered a steady-state window, and the steady-state characteristic value of the steady-state window is recorded. The steady-state characteristic value can be selected as the average value of the current effective value or the amplitude of the current effective value within the steady-state window. For example, for a current sequence within a certain time window... , n Indicates the length of the time window, if: ,and If so, the current within the current time window is determined to be in a steady state, and the steady-state characteristic value of the steady-state window is recorded, where, Used to distinguish between effective load and near-zero load. Used to suppress misjudgments caused by load fluctuations and current measurement noise. and The value can be set according to actual needs, for example... Choose 0.5A, 0.6A, 0.7A, etc. Use values such as 0.05A, 0.08A, and 0.1A. Additionally, to avoid misjudgments caused by communication jitter, duplicate points, or skipped seconds, if the time window does not cover consecutive intervals... n If there are several data points that are adjacent in time, steady-state identification will not be performed. Instead, the sampling will continue to slide by one step before making a judgment. This means that the sampled data points within the time window must be time-continuous and the timestamps must be monotonically increasing.
[0023] Furthermore, after identifying a steady-state window, the time window continues to slide. If subsequent steady-state windows are identified, the difference between the steady-state feature values of the two identified steady-state windows is checked against a preset steady-state discrimination threshold. If the difference is less than the threshold, the steady-state feature value is not updated. If the difference is greater than or equal to the threshold, the latest steady-state feature value is used, thus achieving automatic updating of the steady-state feature value. The specific value of the steady-state discrimination threshold can be set according to actual needs, such as 0.04A, 0.05A, or 0.06A. Additionally, a smaller sliding step size, such as 1 second, can be used before identifying a steady-state window to avoid missed detections. After identifying a steady-state window, a larger sliding step size, such as 3 seconds or 5 seconds, can be used to improve steady-state recognition efficiency.
[0024] In addition, in step S3, after completing steady-state identification and automatic updating of steady-state characteristic values, a time window is used to continue sliding in the current data sequence. If the current values of all sampling points within the time window are less than or equal to the preset power outage current threshold at a certain moment... If the following conditions are also met: the duration of the candidate power outage window is greater than or equal to the minimum duration threshold, a valid historical steady-state window exists, and the current time window is not yet in a confirmed power outage state, then a power outage event following the table has occurred at the current time, the current time window is designated as the power outage window, and relevant information about the power outage event following the table is recorded, including the time of the power outage, the corresponding steady-state characteristic value, and other auxiliary information. This is used to determine whether there is current on the user side. The specific value can be set according to actual needs, usually 0A. Considering current measurement error, it can also be 0.01A, 0.02A, etc. For example, if the current value of all sampling points within a certain time window is less than or equal to 0, then the current time window is regarded as a candidate power outage window. In the process of continuing to slide, the duration of the candidate power outage window is greater than or equal to the minimum duration threshold (which can be set according to actual needs, for example, 5s). That is, the candidate power outage window lasts for 5 seconds, which can avoid short-term jitter, noise spikes or transient fluctuations being mistaken for real power outages. In addition, there are valid historical steady-state characteristic values, which means that the user side was previously in a normal power consumption state and was not in a confirmed power outage state, that is, a power outage has not yet been determined. If the above conditions are met at the same time, it can be determined that the current on the user side jumps from the steady-state characteristic value to zero, thus it can be determined that a power outage event has occurred on the user side.
[0025] It is understood that the present invention comprehensively evaluates four dimensions: the effective value of the current is less than the power outage current threshold, the duration of the power outage window is greater than the minimum duration threshold, there must be a historical steady-state window, and no power outage has been determined yet. Only when all four conditions are met at the same time can a power outage event after the meter be determined to have occurred, thereby improving the accuracy of the perception of power outage events after the meter.
[0026] Optional, such as Figure 2 As shown, the post-meter power outage identification method based on current timing characteristics also includes the following: Step S4: Manage the user-side state based on the state machine control mechanism.
[0027] Specifically, the state machine includes a normal state S0, a power outage confirmation state S1, and a power restoration confirmation state S2. The normal state S0 indicates that no power outage occurred after the meter was detected. The power outage confirmation state S1 indicates that a power outage was detected after the meter was detected and the report was completed. The power restoration confirmation state S2 indicates that after the power outage was detected, the current was again identified as being in a steady state. The state transition rules are as follows: when in the normal state S0 and the preset power outage judgment conditions are met, the state machine switches to the power outage confirmation state S1; when in the power outage confirmation state S1 and the current is identified as being in a steady state, the state machine switches to the power restoration confirmation state S2; when in the power restoration confirmation state S2, the state machine can automatically switch back to the normal state S0 or maintain the current state and wait for the next steady-state current recognition. Therefore, based on the aforementioned state machine control mechanism, the events reported by the electricity meter to the master station include two categories: power outage events and power restoration events. The reported event information includes the electricity meter identifier, the time of event occurrence, phase, steady-state characteristic value before the power outage, and event type. The time of occurrence of the power outage event can be selected from the start or end time of the power outage window, and the time of occurrence of the power restoration event can be selected from the start or end time of the steady-state window that is re-identified after the power outage confirmation.
[0028] It is understood that by introducing a state machine model and setting the above-mentioned state transition rules, this invention can effectively avoid the same power outage event being repeatedly identified and reported multiple times, further improving the accuracy of power outage event perception after the meter.
[0029] Optionally, for three-phase users, each phase performs the aforementioned steady-state current identification and downstream power outage event identification separately to obtain the downstream power outage identification result for each phase. When multiple phases identify downstream power outage events within the same time window, it is determined to be a multi-phase power outage event and reported. If only some phases identify downstream power outage events within a certain time window, a preset time is delayed to wait for the downstream power outage identification results of the other phases. If the other phases also identify downstream power outage events within the preset delay time, it is determined to be a multi-phase power outage event and reported; otherwise, no reporting is performed. The preset delay time can be set according to actual needs, such as 5s, 10s, 15s, etc.
[0030] It is understandable that for three-phase users, when a single phase identifies a power outage event after the meter reading, but the other two phases have not yet identified such an event, a preset delay is made to wait for the power outage identification results of the other phases. If the other phases also identify a power outage event after the preset delay time, it means that the other phases are experiencing a delayed power outage, but in reality, it is still a three-phase power outage, and a three-phase power outage is reported. If the other phases do not identify a power outage event after the preset delay time, it means that the other phases have not experienced a power outage, indicating that it is a false alarm caused by a single-phase anomaly, and a power outage is not reported. This can improve the accuracy of power outage identification after the meter reading for three-phase users.
[0031] Optional, such as Figure 3 As shown, the post-meter power outage identification method based on current timing characteristics also includes the following: Step S5: Filter the power outage events after the table based on the preset filtering mechanism before reporting.
[0032] It is understandable that power restoration events are reported directly without filtering. However, for power outage events downstream of the meter, since their triggering causes include various downstream power outage behaviors such as user-side switch tripping, equipment power failure, and load proactive shutdown, they need to be screened to further improve the accuracy of downstream power outage event identification and the information value of reported events. The preset screening mechanism includes at least one of the following rules: The steady-state characteristic values of all historical power outage events after the meter are statistically analyzed by bin. If the bin corresponding to the steady-state characteristic value of the current power outage event after the meter has never appeared before, it is considered that the current power outage event after the meter has new information, which may be that the user has added electrical appliances. In this case, it is directly reported to the master station so as to remind the master station to perform a new round of non-intrusive load identification on the user side. If the steady-state characteristic value of the power outage event after the current meter exceeds the range of the electricity meter, or is greater than the preset steady-state characteristic value threshold, it means that the user's load is too large, causing the switch to trip. In this case, the main station will be directly notified so that the user can be reminded to use electricity in a standardized manner or replace the switch with one with a larger capacity. The steady-state characteristic value of the current power outage event is compared with the steady-state characteristic values of the most recent historical power outage events within a preset time period (e.g., 24 hours). If the difference between the current steady-state characteristic value and the historical steady-state characteristic value is less than a preset threshold, the event is considered to be repeated and is not reported to the main station. Set up a daily record table to write the occurrence time of each power outage event after the current table into the daily record table. Based on the occurrence time of the current power outage event, query the historical daily record table. If the power outage event is found in multiple historical daily record tables within the allowed time deviation range, it is not reported to the main station; or, if the daily record table is full, it is not reported to the main station. For example, if the daily record table can record 5 power outage events, and more than 5 power outage events are identified in a day, it will stop reporting to the main station from the 6th event onwards; alternatively, the minute value of the occurrence time of the current power outage event (i.e., the exact hour and minute the outage occurred) can be used as the record. The power outage event is recorded in the daily record table. Based on this minute value, the record table is queried in multiple historical daily record tables. If the power outage event is recorded in multiple historical daily record tables within a 15-minute deviation range, it means that the user is regularly and actively cutting off the power. This is because for merchants, they usually turn on the power in the morning to start business and turn off the power in the evening after closing business, which will result in regular active power outages. This invention can avoid misjudging the user's regular active power outage behavior as a power outage event. The allowed time deviation range can also be 30 minutes or 1 hour, which can be set according to actual needs. The system retrieves the steady-state characteristic values of the two most recent steady-state windows before the power outage event occurs. If the two steady-state characteristic values show a decreasing trend within a preset time period, for example, if the steady-state characteristic values of the two steady-state windows decrease by more than 0.5A within 60s (i.e., the earlier steady-state value is at least 0.5A greater than the later steady-state value), it can be considered that the user side actively and sequentially shuts down the load within a short period of time, which is a user-side active power outage behavior. Therefore, it is not reported to the master station. The preset time period can also be set to 30s, 40s, 50s, 70s, etc., and the decrease rate can also be set to 0.4A, 0.6A, 0.8A, etc., which can be set according to actual needs.
[0033] It is understood that by using the above-mentioned screening mechanism to filter and report the identified power outage events after the meter, the present invention can simultaneously improve the accuracy of the perception of power outage events after the meter and the information value of the reported events.
[0034] In addition, such as Figure 4 As shown, another embodiment of the present invention also provides a post-meter power outage identification system based on current timing characteristics, preferably employing the post-meter power outage identification method based on current timing characteristics as described above, including: The current data acquisition module is used to acquire the current data sequence from the user side in real time. The steady-state identification module is used to continuously slide a time window through the current data sequence until the current is identified as being in a steady state. The downstream power outage identification module is used to continue sliding a time window in the current data sequence and identify downstream power outage events based on preset power outage judgment conditions.
[0035] As can be understood, the current-time-series-based power outage identification system of this embodiment first collects the current data sequence of the user side in real time through the electricity meter. Then, it uses a time window to continuously slide within the current data sequence to perform steady-state current identification. When the current is identified to be in a steady state within the window, it means that the power consumption status of the user side is normal. After completing the steady-state identification, the time window continues to slide, and the power outage event after the meter is identified based on the preset power outage judgment conditions. This means that the user side has switched from a normal state to a power outage state. The entire power outage identification process after the meter only relies on the current data collected in real time by the electricity meter and can be executed locally on the user side without having to be uploaded to the main station. This eliminates the lag caused by the periodic data collection and thus can detect power outage events after the meter in real time.
[0036] In addition, the post-meter power outage identification system based on current timing characteristics also includes: The state machine management module is used to manage the user-side state based on the state machine control mechanism.
[0037] In addition, the post-meter power outage identification system based on current timing characteristics also includes: The power outage event filtering module is used to filter power outage events after the table based on a preset filtering mechanism before reporting them.
[0038] It is understood that each module of this system embodiment corresponds to each step of the above method embodiment. Therefore, the specific working principle of each module will not be repeated here, and you can refer to the steps of the above method embodiment.
[0039] In addition, another embodiment of the present invention provides an electronic device including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method described above by calling the computer program stored in the memory.
[0040] In addition, another embodiment of the present invention provides a computer-readable storage medium for storing a computer program for identifying power outages after metering based on current timing characteristics, wherein the computer program executes the steps of the method described above when running on a computer.
[0041] Common computer-readable storage media include: floppy disks, flexible disks, hard disks, magnetic tapes, any other magnetic media, CD-ROMs, any other optical media, punch cards, paper tape, any other physical media with perforated patterns, random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), flash erasable programmable read-only memory (FLASH-EPROM), any other memory chips or cartridges, or any other media readable by a computer. Instructions may further be transmitted or received by a transmission medium. The term transmission medium can include any tangible or intangible medium used to store, encode, or carry instructions for execution by a machine, and includes digital or analog carrier communication signals or intangible media that facilitate communication of such instructions. Transmission media include coaxial cables, copper wires, and optical fibers, which contain conductors for transmitting a bus of computer data signals.
[0042] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.
[0043] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0044] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0045] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0046] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.
[0047] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.
[0048] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A method for identifying power outages after meter readings based on current timing characteristics, characterized in that, Includes the following: Real-time acquisition of current data sequences from the user side; The time window is continuously slid across the current data sequence until a steady state of current is identified. The time window is used to continue sliding in the current data sequence, and power outage events are identified based on preset power outage judgment conditions.
2. The post-meter power outage identification method based on current timing characteristics as described in claim 1, characterized in that, As the time window slides continuously through the current data sequence, if at a certain moment the current value of all sampling points within the time window is greater than the preset minimum steady-state threshold, and the difference between the maximum and minimum current values within the time window is not greater than the steady-state fluctuation threshold, then the current within the current time window is determined to be in a steady state, the current time window is designated as a steady-state window, and the steady-state characteristic value of the steady-state window is recorded.
3. The post-meter power outage identification method based on current timing characteristics as described in claim 1, characterized in that, The process of identifying power outage events based on a preset power outage judgment condition table includes the following: If the current values of all sampling points within a certain time window are less than or equal to the preset power outage current threshold, then the current time window is considered a candidate power outage window. If the following conditions are also met at the same time: the duration of the candidate power outage window is greater than or equal to the minimum duration threshold, there is a valid historical steady-state window, and it is not yet in a confirmed power outage state, then it is determined that a power outage event has occurred at the current time, and the current time window is a power outage window.
4. The post-meter power outage identification method based on current timing characteristics as described in claim 1, characterized in that, Also includes the following: The user-side state is managed based on a state machine control mechanism.
5. The post-meter power outage identification method based on current timing characteristics as described in claim 4, characterized in that, The state machine includes a normal state, a power outage confirmation state, and a power restoration confirmation state. The normal state indicates that no power outage has occurred after the meter was detected. The power outage confirmation state indicates that a power outage has been detected after the meter was detected and reported. The power restoration confirmation state indicates that after the power outage was detected, the current was again identified as being in a steady state. The state transition rules are as follows: when in the normal state and the preset power outage judgment conditions are met, the state machine switches to the power outage confirmation state; when in the power outage confirmation state and the current is identified as being in a steady state, the state machine switches to the power restoration confirmation state; when in the power restoration confirmation state, the state machine automatically switches to the normal state or waits for the next steady-state current recognition.
6. The post-meter power outage identification method based on current timing characteristics as described in claim 1, characterized in that, For three-phase users, current steady-state identification and downstream power outage event identification are performed separately for each phase. When multiple phases identify downstream power outage events within the same time window, it is determined to be a multi-phase power outage event and reported. If only some phases identify a power outage event after the meter within a certain time window, a preset time is waited for the power outage identification results of the other phases. If the other phases also identify a power outage event after the meter within the preset delay time, it is determined to be a multi-phase power outage event and reported; otherwise, it is not reported.
7. The post-meter power outage identification method based on current timing characteristics as described in claim 1, characterized in that, Also includes the following: Power outage events are filtered based on a preset filtering mechanism before being reported.
8. A power outage identification system based on current timing characteristics, characterized in that, include: The current data acquisition module is used to acquire the current data sequence from the user side in real time. The steady-state identification module is used to continuously slide a time window through the current data sequence until the current is identified as being in a steady state. The downstream power outage identification module is used to continue sliding a time window in the current data sequence and identify downstream power outage events based on preset power outage judgment conditions.
9. An electronic device, characterized in that, The method includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method as described in any one of claims 1 to 7 by calling the computer program stored in the memory.
10. A computer-readable storage medium for storing a computer program for identifying power outages after meter readings based on current timing characteristics, characterized in that, The computer program, when run on a computer, performs the steps of the method as described in any one of claims 1 to 7.