A method and system for processing data of an electricity meter carrier module

Abstract

This application relates to the field of data processing for electricity meter carrier modules, and provides a method and system for processing electricity meter carrier module data. The method includes: acquiring power operation data on a power line; distinguishing the power operation data based on its data characteristics to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events; generating alarm information corresponding to the first power operation data; the data volume of the alarm information is less than a preset data volume threshold; transmitting the alarm information through a first data transmission path and transmitting the second power operation data through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path. This method can improve the efficiency of electricity meter carrier module data processing.

Description

Technical Field

[0001] This application relates to the field of data processing for electricity meter carrier modules, and in particular to a method and system for processing data for electricity meter carrier modules. Background Technology

[0002] In the context of the deep integration of modern smart grids and the Industrial Internet, power meter carrier modules, as key nodes connecting the physical and digital worlds, bear the heavy responsibility of collecting, initially processing, and communicating massive amounts of power data. These modules are typically deployed in complex field environments, such as large commercial complexes, where their internal control chips are constantly subjected to periodic fluctuations in ambient temperature during long-term operation. Simultaneously, with the deepening demands for energy management, modules need to collect more refined and higher-frequency data and support data output to multiple external systems, placing enormous pressure on their limited computing and storage capabilities. Furthermore, the introduction of new intelligent devices has made the power line channel environment more complex and variable, further impacting the reliability of data transmission.

[0003] To cope with the increasingly challenging communication environment and ever-growing data volume, the technical team attempted to introduce a more intelligent data processing strategy into the firmware of the meter carrier module. They moved beyond simply packaging and sending data; instead, they required the module to perform preliminary analysis and filtering of the collected data locally. For example, the module needs to monitor the voltage harmonic distortion rate in real time, triggering an event alarm immediately upon exceeding a preset threshold, accompanied by detailed waveform data. Furthermore, to improve transmission efficiency with limited bandwidth, the module also needs to dynamically adjust the strength of the data compression algorithm based on channel quality, or selectively discard some non-critical, highly redundant data. These local real-time analysis, event triggering, and adaptive data processing tasks place higher computational demands on the microcontroller of the meter carrier module. The microcontroller, originally designed for basic data acquisition and communication protocol processing, found its computing power insufficient for these complex tasks, resulting in low data processing efficiency in the existing meter carrier module. Summary of the Invention

[0004] This application provides a data processing method and system for an electricity meter carrier module, which can improve the efficiency of data processing for the electricity meter carrier module.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, this application discloses a data processing method for an electricity meter carrier module. The method includes: acquiring power operation data on a power line; distinguishing the power operation data according to its data characteristics to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events; generating alarm information corresponding to the first power operation data; the data volume of the alarm information is less than a preset data volume threshold; transmitting the alarm information through a first data transmission path and transmitting the second power operation data through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path.

[0007] Furthermore, when distinguishing power operation data based on its data characteristics to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events, the method includes: acquiring a set of abnormal power event features; the set of abnormal power event features includes multiple abnormal power event features; determining the data characteristics of the power operation data; determining the similarity between the data features and each abnormal power event feature; if among the multiple similarities corresponding to the power operation data there is a similarity greater than a preset similarity threshold, the power operation data is determined to be the first power operation data; otherwise, the power operation data is determined to be the second power operation data.

[0008] Based on this, when generating alarm information corresponding to the first power operation data, the method includes: obtaining the target timestamp corresponding to the first power operation data and the target device identifier of the target power equipment that generated the first power operation data; taking the event identifier of the abnormal power event feature corresponding to the similarity of the first power operation data greater than a preset similarity threshold as the target event identifier; encapsulating the target event identifier, the target timestamp, and the target device identifier into preliminary alarm information; determining whether the data volume of the preliminary alarm information is less than a preset data volume threshold; if so, determining the preliminary alarm information as alarm information; if not, compressing the preliminary alarm information until the data volume is less than the preset data volume threshold to obtain alarm information.

[0009] In some preferred embodiments, when transmitting second power operation data through a second data transmission path, the method includes: storing the second power operation data in a cache device; determining the interval between the earliest and latest second power operation data among a plurality of second power operation data in the cache device; and transmitting the second power operation data in the cache device through the second data transmission path if the interval is longer than a preset interval threshold.

[0010] Furthermore, when storing the second power operation data in the cache device, the method includes: obtaining a data importance identifier for each of a plurality of power devices; the data importance identifier is used to indicate whether the power operation data generated by the power device is important or not; and storing the second power operation data in the cache device according to the data importance identifier of the power device that generates the second power operation data.

[0011] As a technical improvement, the caching device includes a first storage area and a second storage area. The first storage area stores second power operation data generated by power equipment whose power operation data is not important, as indicated by a data importance identifier. The second storage area stores second power operation data generated by power equipment whose power operation data is important, as indicated by a data importance identifier. The second power operation data is stored in the caching device according to the data importance identifier of the power equipment that generated the second power operation data. This includes: compressing the second power operation data based on a preset compression algorithm when the corresponding data importance identifier indicates that the power operation data generated by the power equipment is not important, and storing the compressed second power operation data in the first storage area, wherein the compression ratio of the preset compression algorithm is less than a preset compression ratio; and performing lossless compression on the second power operation data when the corresponding data importance identifier indicates that the power operation data generated by the power equipment is important, and storing the compressed second power operation data in the second storage area.

[0012] Based on the above, when transmitting alarm information through the first data transmission path, the method includes: determining the receiving priority index of each data receiver among multiple data receivers receiving alarm information according to the target event identifier corresponding to the first power operation data; and transmitting alarm information to each data receiver sequentially through the first data transmission path according to the receiving priority index of the multiple data receivers.

[0013] As a further improvement, there are multiple target event identifiers. Based on the target event identifiers corresponding to the first power operation data, the receiving priority index of each data receiver among the multiple data receivers receiving alarm information is determined, including: obtaining the event importance information of each data receiver among the multiple data receivers; the event importance information includes the importance index of each event identifier; for each data receiver, the average of the importance indices of multiple target event identifiers in the event importance information of the data receiver is used as the receiving priority index of the data receiver.

[0014] To improve the solution, when transmitting alarm information to each data receiver sequentially through the first data transmission path based on the receiving priority index of multiple data receivers, the method includes: obtaining the data encapsulation template of each data receiver; converting the alarm information into target alarm information according to the data encapsulation template of each data receiver; and transmitting the corresponding target alarm information to each data receiver sequentially through the first data transmission path in descending order of receiving priority index.

[0015] Secondly, this application also discloses a data processing system for a power meter carrier module, comprising: an acquisition device and a processing device; the acquisition device is used to acquire power operation data on a power line; the processing device is used to distinguish the power operation data according to the data characteristics of the power operation data to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events; the processing device is used to generate alarm information corresponding to the first power operation data; the data volume of the alarm information is less than a preset data volume threshold; the processing device is used to transmit the alarm information through a first data transmission path and transmit the second power operation data through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path.

[0016] Beneficial effects

[0017] The meter carrier module data processing method disclosed in this application acquires power operation data from the power line and classifies it into first power operation data for judging abnormal power events and second power operation data for judging abnormal power events based on data characteristics. For the first power operation data, an alarm message is generated if the data volume is less than a preset threshold and transmitted through a first data transmission path with a faster transmission rate; while the second power operation data is transmitted through a second data transmission path with a slower transmission rate.

[0018] This technical solution effectively solves the problem of data processing and transmission delays caused by limited computing resources in existing meter carrier modules under massive data and complex channel environments. By intelligently distinguishing and distributing data, this application can prioritize the rapid uploading of alarm information for abnormal power events, ensuring timely response to sudden power quality problems or equipment failures, avoiding missed optimal intervention opportunities due to information lag, and thus effectively preventing equipment damage or operational interruptions. Simultaneously, by differentiating the processing and transmission of non-abnormal data, the utilization efficiency of transmission resources is optimized, communication overhead is reduced, and the limitations of existing technologies' single transmission strategies in meeting the needs of multi-target, differentiated data output are overcome, thereby improving the data processing efficiency of the meter carrier module. Attached Figure Description

[0019] Figure 1 A flowchart illustrating a data processing method for a meter carrier module provided in this application;

[0020] Figure 2 A flowchart illustrating another data processing method for a meter carrier module provided in this application;

[0021] Figure 3 A flowchart illustrating another data processing method for a meter carrier module provided in this application;

[0022] Figure 4 This is a schematic diagram of the structure of a data processing system for a meter carrier module provided in this application. Detailed Implementation

[0023] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0024] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0025] In the context of the deep integration of modern smart grids and the Industrial Internet, power meter carrier modules, as key nodes connecting the physical and digital worlds, bear the heavy responsibility of collecting, initially processing, and communicating massive amounts of power data. These modules are typically deployed in complex field environments, such as large commercial complexes, where their internal control chips are constantly subjected to periodic fluctuations in ambient temperature during long-term operation. Simultaneously, with the deepening demands for energy management, modules need to collect more refined and higher-frequency data and support data output to multiple external systems, placing enormous pressure on their limited computing and storage capabilities. Furthermore, the introduction of new intelligent devices has made the power line channel environment more complex and variable, further impacting the reliability of data transmission.

[0026] To cope with the increasingly challenging communication environment and ever-growing data volume, the technical team attempted to introduce a more intelligent data processing strategy into the firmware of the meter carrier module. They moved beyond simply packaging and sending data; instead, they required the module to perform preliminary analysis and filtering of the collected data locally. For example, the module needs to monitor the voltage harmonic distortion rate in real time, triggering an event alarm immediately upon exceeding a preset threshold, accompanied by detailed waveform data. Furthermore, to improve transmission efficiency with limited bandwidth, the module also needs to dynamically adjust the strength of the data compression algorithm based on channel quality, or selectively discard some non-critical, highly redundant data. These local real-time analysis, event triggering, and adaptive data processing tasks place higher computational demands on the microcontroller of the meter carrier module. The microcontroller, originally designed for basic data acquisition and communication protocol processing, found its computing power insufficient for these complex tasks, resulting in low data processing efficiency in the existing meter carrier module.

[0027] In this regard, such as Figure 1 As shown, this application proposes a data processing method for an electricity meter carrier module, the method comprising:

[0028] S101. Obtain power operation data on the power line.

[0029] S102. Based on the data characteristics of the power operation data, the power operation data is distinguished to obtain the first power operation data used for judging abnormal power events and the second power operation data not used for judging abnormal power events.

[0030] S103. Generate alarm information corresponding to the first power operation data.

[0031] The amount of alarm information is less than the preset data threshold.

[0032] S104. Transmit alarm information through the first data transmission path and transmit second power operation data through the second data transmission path.

[0033] The transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path.

[0034] This application effectively solves the problems of low data processing efficiency, untimely alarm information transmission, and inflexible multi-target data output in existing technologies by intelligently distinguishing power operation data and adopting differentiated transmission strategies. By prioritizing the transmission of alarm information, it ensures rapid response to abnormal events while also ensuring the effective transmission of non-abnormal data, significantly improving the data processing capabilities of the meter carrier module and the overall system response efficiency.

[0035] To better understand the data processing method of the meter carrier module proposed in this application, some key terms and implementation environments are first explained. In this application, "power operation data" refers to various data collected by the meter carrier module from power lines, such as real-time or historical data on voltage, current, power, harmonics, and frequency. This data reflects the operating status of the power system and the health of power equipment. "First power operation data" specifically refers to data related to potential abnormal power events, such as voltage drops, current overloads, and excessive harmonic distortion. This data needs to be processed quickly to generate alarms. "Second power operation data" refers to routine, non-abnormal power operation data, such as daily energy consumption statistics and load curves. This data typically does not require high real-time performance but needs to ensure completeness and accuracy. "Alarm information" is a brief message generated based on the first power operation data, used to quickly notify relevant systems or personnel of abnormal events. It is characterized by small data volume, facilitating rapid transmission. "First data transmission path" and "second data transmission path" refer to communication channels used to transmit different types of data. They may be based on different communication protocols, physical media, or network priorities to achieve different transmission rates. For example, the first data transmission path can be a high-speed channel based on real-time Ethernet or fiber optics, while the second data transmission path can be a conventional channel based on carrier communication or wireless communication.

[0036] The core of the electricity meter carrier module data processing method proposed in this application lies in intelligently distinguishing power operation data and adopting differentiated transmission strategies.

[0037] In acquiring power operation data from power lines, the meter carrier module can achieve this in several ways. For example, the module can have a built-in high-precision analog-to-digital converter (ADC) that periodically samples the voltage and current signals on the power line and converts the analog signals into digital signals. After preliminary processing, these digital signals form the raw power operation data. Another approach is for the module to communicate with external sensors or smart meters, receiving data from these devices through standard communication interfaces such as RS485 and Ethernet. For instance, a smart meter can send its current voltage, current, and power factor data to the carrier module every second.

[0038] Various techniques can be employed to differentiate power operation data based on its characteristics, resulting in first power operation data for identifying abnormal power events and second power operation data for identifying non-abnormal power events. One approach is to pre-configure a series of fixed thresholds and rules within the module. For example, if a voltage value is detected to be below a certain preset threshold for five consecutive seconds, the voltage data during this period is marked as first power operation data; otherwise, it is marked as second power operation data. Another approach is to incorporate a lightweight pattern recognition algorithm into the module. For instance, by analyzing the waveform characteristics of the power operation data, patterns matching known abnormal events (such as harmonic distortion or transient overvoltage) can be identified, thereby classifying the matching data as first power operation data and the remaining data as second power operation data.

[0039] In generating alarm information corresponding to the first power operation data, it is necessary to ensure that the data volume of the alarm information is less than a preset data volume threshold. One approach is to extract only a few key parameters most relevant to the abnormal event when the first power operation data is identified, such as event type, occurrence time, occurrence location (equipment identifier), and abnormal value, and then encapsulate these parameters into a concise alarm message. For example, if an overvoltage event is detected, the alarm message may only contain "overvoltage alarm," "2023-10-27 10:30:00," "equipment ID: A001," and "voltage peak: 250V." Another approach is to highly compress or summarize the original first power operation data if it is large. For example, for a segment of first power operation data containing a voltage waveform, instead of transmitting the complete waveform, key statistical characteristics such as its root mean square value, peak value, and harmonic content can be calculated and used as part of the alarm message.

[0040] In transmitting alarm information via a first data transmission path and transmitting second power operation data via a second data transmission path, where the transmission rate of the first data transmission path is greater than that of the second data transmission path, different communication technologies and network configurations can be employed. One implementation is that the first data transmission path can utilize a dedicated high-speed communication interface within the module, for example, directly connecting to a local area network via an Ethernet interface, or transmitting via a cellular network using a 5G / 4G module. The second data transmission path, on the other hand, can utilize traditional power line carrier communication (PLC) technology, transmitting data through the power line itself. Since the bandwidth of a PLC is typically lower than that of Ethernet or cellular networks, the requirement for differentiated transmission rates can be met. For example, alarm information can be transmitted at a rate of 100Mbps via an Ethernet interface, while the second power operation data can be transmitted at a rate of 10Kbps via the PLC.

[0041] The meter carrier module data processing method proposed in this application forms an efficient and intelligent data processing and transmission system through the synergistic effect of the aforementioned technical features. First, the meter carrier module continuously acquires power operation data from the power line, which forms the foundation of the entire data processing flow. Then, based on the data characteristics of this power operation data, the module can intelligently distinguish between first power operation data used for judging abnormal power events and second power operation data not used for judging abnormal power events. This distinction process is one of the core innovations of this application, enabling the module to perform differentiated processing on data of different importance.

[0042] Specifically, upon identifying the first power operation data, the system immediately generates a corresponding alarm message. This alarm message is designed with a data volume less than a preset data volume threshold to ensure its lightweight and rapid transmission. For example, when an abnormal situation such as a voltage drop or current overload is detected, the module will not transmit a large amount of raw waveform data, but will only extract key information such as the event type, occurrence time, and device identifier, and encapsulate it into a concise alarm message.

[0043] During the data transmission phase, this application employs a dual-path transmission strategy. Alarm information is transmitted via a first data transmission path, which is configured to have a higher transmission rate to ensure that abnormal events can be reported to the energy management platform or relevant monitoring system as soon as possible. For example, the first data transmission path can utilize high-speed Ethernet or fiber optic links, providing millisecond-level transmission latency. Simultaneously, second power operation data not used for judging abnormal power events is transmitted via a second data transmission path. This path has a relatively lower transmission rate, but it is sufficient to meet the needs of routine data transmission. For example, power line carrier communication (PLC) or wireless communication technologies can be used to transmit daily energy consumption statistics, load curves, and other data at a lower cost and bandwidth.

[0044] Therefore, the overall technical solution of this application effectively solves the problems faced by traditional meter carrier modules when processing massive amounts of power data, such as limited computing resources, data transmission delays, and inflexible multi-target data output, by intelligently distinguishing data types and adopting differentiated transmission paths and rates. By prioritizing the transmission of concise alarm information, it ensures rapid response to sudden power quality problems or equipment failures, avoiding missing the best intervention opportunity due to excessive data processing time. At the same time, it also ensures the effective transmission of non-abnormal data, guaranteeing the overall data integrity and availability of the system. This hierarchical processing and multi-path transmission strategy significantly improves the data processing efficiency and system responsiveness of the meter carrier module, providing solid technical support for the deep integration of smart grids and the Industrial Internet.

[0045] The data processing method for electricity meter carrier modules proposed in this application represents a significant improvement over existing technologies. Traditional electricity meter carrier modules typically employ a uniform data processing and transmission strategy. All collected power operation data, regardless of their importance, undergoes a similar local processing flow and is attempted to be uploaded through a single or equally prioritized transmission channel. This "one-size-fits-all" approach is acceptable when the data volume is small and the channel environment is stable. However, in the context of modern smart grids and the Industrial Internet, the massive amounts of data and complex channel environments increasingly highlight its limitations.

[0046] The core innovation of this application lies in the introduction of the concepts of "data differentiation" and "differentiated transmission." By differentiating power operation data according to its characteristics, the data is divided into first power operation data used for judging abnormal power events and second power operation data not used for judging abnormal power events. This application can prioritize data of different importance. This step is generally lacking in existing technologies, enabling the module to intelligently identify critical information that requires urgent handling.

[0047] Furthermore, this application employs differentiated transmission strategies for these two different types of data. Alarm information (generated from the first power operation data) is designed to have a small data volume and is transmitted via a first data transmission path with a higher transmission rate to ensure its extremely high real-time performance. In contrast, the second power operation data is transmitted via a second data transmission path with a relatively lower transmission rate. This hierarchical transmission mechanism enables this application to effectively solve the latency problem in emergency alarm transmission of traditional modules. In existing technologies, alarm information is often queued for transmission along with a large amount of regular data, resulting in untimely responses. This application, by creating a "green channel" for alarm information, significantly shortens the response time for abnormal events.

[0048] For example, in traditional solutions, when a voltage drop occurs, the raw data containing the drop information may require complex local processing (such as data aggregation and format conversion) before being uploaded along with other daily energy consumption data via power line carrier communication. If the channel quality is poor or the data volume is large, the alarm information may be delayed for several seconds or even tens of seconds before reaching the monitoring center, thus missing the optimal time for fault intervention. In this application, once a voltage drop is detected, the module immediately generates a concise alarm message and quickly uploads it via a primary data transmission path such as high-speed Ethernet or cellular network, ensuring that relevant personnel are notified within milliseconds, thereby enabling timely measures to be taken to avoid potential equipment damage or operational interruption.

[0049] In summary, this application significantly improves the data processing efficiency and abnormal event response capability of the meter carrier module in complex environments through intelligent data differentiation and differentiated transmission strategies, providing a more reliable and advanced technical solution for the stable operation and efficient management of smart grids.

[0050] like Figure 2 As shown, this application further proposes the above-mentioned method of distinguishing power operation data based on data characteristics to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events, including:

[0051] S201. Obtain the feature set of abnormal power events.

[0052] The abnormal power event feature set includes multiple abnormal power event features.

[0053] S202. Determine the data characteristics of power operation data.

[0054] S203. Determine the similarity between the data features and the features of each abnormal power event.

[0055] S204. If among the multiple similarities corresponding to the power operation data there is a similarity greater than a preset similarity threshold, the power operation data is determined to be the first power operation data; otherwise, the power operation data is determined to be the second power operation data.

[0056] Specifically, the abnormal power event feature set can be understood as a predefined or learned set of typical patterns or attributes used to describe various abnormal power events. This set contains multiple abnormal power event features, such as overvoltage features, undervoltage features, overcurrent features, voltage loss features, harmonic anomaly features, and electricity theft features. Each abnormal power event feature represents a specific abnormal situation and is described by a series of parameters or patterns. Among these, the data features used to determine power operation data refer to extracting structured or unstructured information from real-time acquired power operation data that can be used for analysis and judgment. For example, these data features can include real-time measurements such as voltage, current, frequency, power factor, harmonic content, and waveform distortion rate, or the trends, statistical characteristics, or specific event sequences of these measurements over a period of time.

[0057] In practical applications, determining the similarity between data features and the features of each abnormal power event refers to quantifying the degree of matching or closeness between the current data features of power operation data and each preset abnormal power event feature in the abnormal power event feature set, using specific algorithms or models. For example, machine learning methods such as Euclidean distance, cosine similarity, correlation coefficient, support vector machine (SVM), or neural networks can be used to calculate similarity. The purpose is to assess the degree of agreement between the current power operation data and known abnormal patterns.

[0058] Furthermore, the preset similarity threshold is a configurable parameter used to define whether power operation data is sufficiently close to the characteristics of a certain abnormal power event. When at least one of the multiple similarities corresponding to power operation data is greater than the preset similarity threshold, it indicates that the power operation data highly matches the characteristics of a certain abnormal power event, and is thus identified as the first power operation data for abnormal power event judgment. Conversely, if all similarities do not reach the threshold, the power operation data is identified as the second power operation data, not for abnormal power event judgment. The setting of this threshold needs to comprehensively consider the system's sensitivity and false alarm rate to ensure accurate identification of abnormal events.

[0059] This application's solution addresses the lack of specificity and precision in the power operation data differentiation methods of the aforementioned basic solutions by introducing an abnormal power event feature set and a similarity-based judgment mechanism. Specifically, firstly, by acquiring a predefined abnormal power event feature set, a clear reference standard is provided for the identification of abnormal events. Secondly, by extracting data features from real-time power operation data and calculating their similarity with each abnormal power event feature in the set, the degree of matching between the current power data and various abnormal patterns can be quantitatively assessed. Finally, by setting a preset similarity threshold, the system can objectively and automatically divide power operation data into first power operation data for abnormal power event judgment and second power operation data for non-abnormal power event judgment based on the similarity level. This feature matching and threshold judgment mechanism makes the power operation data differentiation process more intelligent and refined, effectively avoiding inaccuracies caused by manual judgment or fuzzy rules.

[0060] like Figure 3 As shown, this application further proposes steps for generating alarm information corresponding to the aforementioned first power operation data, including:

[0061] S301. Obtain the target timestamp corresponding to the first power operation data and the target equipment identifier of the target power equipment that generated the first power operation data.

[0062] S302. The event identifier of the abnormal power event feature corresponding to the first power operation data having a similarity greater than the preset similarity threshold is used as the target event identifier.

[0063] S303. Encapsulate the target event identifier, target timestamp, and target device identifier into preliminary alarm information.

[0064] S304. Determine whether the data volume of the preliminary alarm information is less than the preset data volume threshold. If yes, determine the preliminary alarm information as alarm information. If no, compress the preliminary alarm information until the data volume is less than the preset data volume threshold to obtain alarm information.

[0065] Specifically, when generating alarm information, it is first necessary to obtain key information related to the first power operation data. This key information includes the time point when the first power operation data occurred, i.e., the target timestamp, and the specific power equipment that generated the first power operation data, which is uniquely identified through the target equipment identifier. This information is the basic element constituting the alarm information, used to clarify the time and location of the abnormal event.

[0066] The determination of the target event identifier is based on the analysis of the first power operation data. According to the above method, when the similarity between the data characteristics of the power operation data and the characteristics of abnormal power events is greater than a preset similarity threshold, the power operation data is identified as the first power operation data. At this time, the event identifier corresponding to the abnormal power event characteristics that caused the similarity to exceed the threshold is used as the target event identifier for this alarm. The target event identifier can concisely indicate the type of abnormal event that occurred, such as "overvoltage," "undervoltage," or "loss of voltage."

[0067] Subsequently, the target event identifier, target timestamp, and target device identifier obtained above are encapsulated to form preliminary alarm information. This encapsulation aims to structurally integrate the core information of the abnormal event for subsequent processing and transmission.

[0068] After the initial alarm information is generated, its data volume needs to be assessed. Specifically, the data volume of the initial alarm information is compared with a preset data volume threshold. The preset data volume threshold is an upper limit set to ensure that the alarm information can be efficiently transmitted through the first data transmission path.

[0069] If the initial alarm message's data volume is less than the preset data volume threshold, it meets the transmission requirements and can be directly identified as the final alarm message. However, if the initial alarm message's data volume is greater than or equal to the preset data volume threshold, it needs to be compressed. The compression process will continue until the data volume is reduced to less than the preset data volume threshold; the compressed information obtained at this point is the final alarm message. This dynamic compression mechanism ensures that regardless of the original abnormal event information, the final generated alarm message meets the data volume requirements, thereby guaranteeing transmission efficiency and reliability.

[0070] This application's solution addresses the issue of excessive data volume during alarm message generation by refining the alarm message content and introducing a dynamic compression mechanism. Specifically, the alarm message is designed to contain only the core elements of the abnormal event: the target event identifier, the target timestamp, and the target device identifier. This information is inherently highly concise. Furthermore, by real-time assessment of the initial alarm message's data volume and determining whether compression is necessary based on the assessment results, the final alarm message's data volume is consistently kept below a preset data volume threshold. It is precisely this targeted information extraction and flexible compression strategy that allows the alarm message to minimize its data volume while ensuring the integrity of critical information, thus creating conditions for rapid transmission via the higher-speed first data transmission path.

[0071] Through the above technical solution, this application can effectively control the amount of alarm information data, ensuring that it is always less than a preset data volume threshold. This not only avoids transmission delays or failures caused by excessive alarm information data volume, but also significantly improves the real-time performance and response speed of abnormal power event alarms. By simplifying alarm content and supplementing it with on-demand compression, this application optimizes data transmission efficiency while ensuring accurate transmission of key abnormal event information, thereby improving the reliability and timeliness of the entire meter carrier module data processing system.

[0072] This application further proposes steps for transmitting the aforementioned second power operation data via a second data transmission path, including:

[0073] The second power operation data is stored in a cache device; the time interval between the earliest and latest second power operation data in the cache device is determined; if the time interval is longer than a preset time interval threshold, the second power operation data in the cache device is transmitted through the second data transmission path.

[0074] Specifically, storing secondary power operation data in a cache device means that when the system obtains secondary power operation data that is not used for judging abnormal power events, it does not immediately send it, but temporarily stores it in a dedicated cache device. This cache device can be a memory area, hard disk storage space, or any medium capable of temporarily storing data, with the purpose of accumulating and integrating the data. Determining the time interval between the earliest and latest secondary power operation data in the cache device can be understood as the system continuously monitoring the secondary power operation data stored in the cache device and calculating the time difference between the earliest and latest data to enter the cache. This time difference reflects the duration of data accumulation in the cache.

[0075] In practical applications, when the time interval exceeds a preset time interval threshold, the second power operation data in the buffer device is transmitted through the second data transmission path. For example, a preset time interval threshold can be set. When the data accumulation time in the buffer exceeds the threshold, the system will trigger a batch transmission operation to send all the accumulated second power operation data in the buffer device out at once through the second data transmission path. The purpose is to integrate the scattered small data packets into one or more larger data packets for transmission.

[0076] The proposed solution introduces a caching device to temporarily store secondary power operation data and sets a preset time interval threshold to control the transmission timing. When secondary power operation data is acquired, it is first stored in the caching device, rather than transmitted immediately. The system continuously monitors the accumulation of data in the caching device, especially the time interval between the earliest and latest data. Only when this time interval exceeds the preset time interval threshold will all secondary power operation data in the caching device be transmitted in batches. This mechanism effectively aggregates multiple scattered secondary power operation data packets into one or more larger data packets for transmission, thereby reducing the number of transmissions.

[0077] The above technical solution avoids the increased network overhead and reduced transmission efficiency caused by frequent small data packet transmissions of second power operation data. By caching and batch transmitting the second power operation data, the transmission frequency of the second data transmission path is significantly reduced, and the protocol overhead of each transmission is decreased, thereby improving the overall transmission efficiency and resource utilization of the second data transmission path. Furthermore, this approach also makes the management of non-time-sensitive second power operation data more flexible and efficient.

[0078] This application further proposes a step for storing the aforementioned second power operation data in a cache device, including:

[0079] Obtain the data importance identifier for each of the multiple power devices; the data importance identifier is used to indicate whether the power operation data generated by the power device is important or not important; based on the data importance identifier of the power device that generates the second power operation data, store the second power operation data in the cache device.

[0080] Specifically, a data importance identifier can be understood as a type of metadata or tag associated with each power device, used to clearly indicate the importance level of the power operation data (especially secondary power operation data) generated by that device within the system. For example, a data importance identifier can be a Boolean value (such as "important" or "not important"), a numerical value (such as a 1-5 scale), or a predefined string (such as "core device data" or "edge device data"). Its purpose is to provide a basis for subsequent data storage and processing, enabling differentiated management. Specifically, storing secondary power operation data in the cache device based on the data importance identifier of the power device that generated the data means that upon receiving secondary power operation data, the system first identifies the corresponding data importance identifier of the power device that generated the data. Based on the importance indicated by this identifier, the system determines the specific storage strategy or location of the secondary power operation data in the cache device. For example, important data can be stored in a cache area with faster access speed and higher priority, while less important data can be stored in a regular area, or even compressed more significantly before storage.

[0081] This application's solution introduces a data importance identifier, enabling the system to intelligently distinguish and process data based on its actual importance when storing second-level power operation data in the cache device. After acquiring power operation data from the power line and classifying it as second-level power operation data, the system no longer simply stores it uniformly; instead, it first queries the data importance identifier associated with the power equipment that generated the data. This identifier explicitly indicates the importance of the data.

[0082] Given this importance, the system can adopt different storage strategies. For example, it can allocate higher-quality storage resources to important data or use more space-efficient storage methods for less important data. This differentiated storage mechanism optimizes the resource utilization of the caching device from the source, ensuring the storage quality and accessibility of critical data, while avoiding the excessive consumption of limited cache resources by less important data.

[0083] Through the above technical solution, this application enables refined management and optimized storage of secondary power operation data. By identifying and utilizing important data identifiers, the system can dynamically adjust storage strategies based on the actual value and priority of the data, thereby significantly improving the utilization efficiency of the caching device. This not only helps ensure that important power operation data can be stored and accessed in a timely and reliable manner, avoiding data loss or processing delays due to insufficient caching resources or improper management, but also effectively reduces the overall operating cost of the data processing system and improves the system's robustness and responsiveness when processing massive amounts of power operation data.

[0084] This application further proposes that the aforementioned caching device includes a first storage area and a second storage area. The first storage area is used to store second power operation data generated by power equipment where the power operation data generated by the power equipment is not important, indicated by a data importance identifier. The second storage area is used to store second power operation data generated by power equipment where the power operation data generated by the power equipment is important, indicated by a data importance identifier. The second power operation data is stored in the caching device according to the data importance identifier of the power equipment that generated the second power operation data, including:

[0085] When the corresponding data importance identifier indicates that the power operation data generated by the power equipment is not important, the second power operation data is compressed based on a preset compression algorithm, and the compressed second power operation data is stored in the first storage area. The compression ratio of the preset compression algorithm is less than the preset compression ratio. When the corresponding data importance identifier indicates that the power operation data generated by the power equipment is important, the second power operation data is losslessly compressed, and the compressed second power operation data is stored in the second storage area.

[0086] Specifically, a caching device can be understood as a hardware or software module used for temporary storage of power operation data, such as flash memory, RAM, or other non-volatile memory within a meter carrier module. This caching device is logically or physically divided into a first storage area and a second storage area. The first storage area is specifically used to store secondary power operation data that is indicated as unimportant by data importance identifiers. For example, this data may include routine, little-changing load data or environmental parameters, with relatively low accuracy requirements, allowing for a certain degree of compression distortion to save storage space. The second storage area is used to store secondary power operation data that is indicated as important by data importance identifiers. For example, this data may involve the operating status of critical equipment, minor changes before abnormal fluctuations, or detailed data crucial for subsequent fault diagnosis, requiring extremely high integrity and accuracy, with no information loss permissible.

[0087] When storing the second power operation data in the cache device, a judgment is made based on its corresponding data importance identifier. When the data importance identifier indicates that the power operation data generated by the power equipment is not important, the second power operation data is compressed based on a preset compression algorithm. This preset compression algorithm can be any lossy or lossless compression algorithm, characterized by a compression ratio lower than the preset compression ratio, i.e., it can achieve a higher compression ratio to significantly reduce the data volume. The compressed second power operation data is then stored in the first storage area. Conversely, when the data importance identifier indicates that the power operation data generated by the power equipment is important, the second power operation data is losslessly compressed. Lossless compression ensures that no original information is lost during compression and decompression, thereby guaranteeing the integrity and accuracy of important data. The losslessly compressed second power operation data is then stored in the second storage area.

[0088] This application's solution effectively addresses the inefficiencies and risks to the integrity of critical data inherent in traditional solutions that treat all data equally by introducing storage areas with different storage strategies and combining them with data importance identifiers for differentiated processing of secondary power operation data. Specifically, for less important secondary power operation data, a pre-defined compression algorithm with a high compression ratio is used, significantly reducing its storage space and allowing limited cache resources to store more data. Simultaneously, for important secondary power operation data, lossless compression is employed, ensuring no information loss occurs during storage and providing a reliable data foundation for subsequent accurate analysis and decision-making. This hierarchical storage and compression mechanism allows the cache device to flexibly allocate storage resources and processing strategies based on the actual value and needs of the data.

[0089] Through the above technical solution, this application can achieve refined management and optimized storage of second-level power operation data. Specifically, by dividing the cache device into a first storage area and a second storage area, and adopting different compression strategies based on data importance identifiers, storage efficiency is significantly improved and storage costs are reduced. Unimportant data is efficiently compressed, freeing up valuable storage space, while important data is preserved without loss, ensuring its integrity and availability, and avoiding the loss of critical information due to over-compression. This differentiated storage strategy allows the system to better balance the relationship between data storage volume and data quality with limited storage resources, thereby improving the overall performance and reliability of the meter carrier module's data processing.

[0090] This application further proposes a data processing method for an electricity meter carrier module, wherein alarm information is transmitted through a first data transmission path, including:

[0091] Based on the target event identifier corresponding to the first power operation data, determine the receiving priority index of each data receiver among the multiple data receivers receiving alarm information; based on the receiving priority index of the multiple data receivers, transmit alarm information to each data receiver sequentially through the first data transmission path.

[0092] Specifically, after generating the alarm information corresponding to the first power operation data and determining its target event identifier, the system will evaluate the receiving priority of each potential data receiver for the alarm information based on the target event identifier. The target event identifier can be understood as a unique identifier for the type or severity of the abnormal power event. For example, different target event identifiers may represent different types of abnormal events such as overload, short circuit, electricity theft, and equipment failure. Each data receiver, such as a power dispatch center, operation and maintenance department, security monitoring system, or third-party service platform, may have different processing needs and response speed requirements for different types of abnormal events.

[0093] The receiving priority index is a metric used to quantify this receiving priority. Its value reflects the receiver's level of attention to a specific alarm message or the urgency of its processing. Determining the receiving priority index may involve querying a pre-defined configuration table or rule base, which stores the priority mapping relationship between different target event identifiers and various data receivers. For example, for a target event identifier indicating "serious equipment failure," the power dispatch center might have the highest receiving priority index, while for a target event identifier indicating "minor voltage fluctuations," the maintenance department's receiving priority index might be relatively lower.

[0094] Furthermore, after determining the reception priority index of all relevant data receivers, the system will transmit alarm information sequentially to each data receiver through the first data transmission path according to the magnitude of these indices. Here, "sequentially" transmission means that the transmission order is arranged from high to low reception priority index. For example, the receiver with the highest reception priority index will receive the alarm information first, followed by the receiver with the second highest, and so on. This sequential transmission mechanism ensures that the most critical alarm information is delivered to the receivers who need it most, thus gaining valuable time for timely response and handling of abnormal power events. The first data transmission path can be a high-speed, low-latency communication link, such as a fiber optic network or a dedicated carrier communication channel, to ensure fast and reliable transmission of alarm information.

[0095] This application's solution effectively addresses the potential blindness and inefficiency issues in traditional alarm information transmission by introducing a receiving priority index mechanism based on target event identifiers and employing a priority-ordered transmission method. Because different types of abnormal power events have varying degrees of urgency and impact, and different data receivers have different focuses and processing capabilities, simple broadcast transmission of alarm information cannot meet the needs of refined management. By determining the receiving priority index for each data receiver based on the target event identifier corresponding to the first power operation data, the system can intelligently identify which receivers are most critical or sensitive to the currently occurring abnormal event. Based on this, transmission is performed in descending order of receiving priority index, ensuring that resources are prioritized for the most urgent and important alarm information and its corresponding receivers, thereby avoiding the risk of important information being overwhelmed or delayed in processing.

[0096] Through the above technical solution, this application enables intelligent and prioritized transmission of alarm information. Compared to transmission methods that do not distinguish between recipients or consider the importance of events, this solution significantly improves the efficiency and accuracy of alarm information transmission. Specifically, by prioritizing the transmission of alarm information to high-priority recipients, it ensures that key departments or systems can obtain and handle emergency events immediately, thereby shortening response time and reducing potential losses caused by abnormal power events. Simultaneously, this mechanism also helps optimize the utilization of transmission resources, avoids unnecessary bandwidth consumption, and makes the entire power operation data processing system more efficient and reliable.

[0097] This application further proposes a method for determining a receiving priority index, wherein there are multiple target event identifiers, and the receiving priority index of each data receiver among multiple data receivers receiving alarm information is determined based on the target event identifiers corresponding to the first power operation data, including:

[0098] Obtain event importance information for each of the multiple data receivers; the event importance information includes the importance index of each event identifier; for each data receiver, the average of the importance indices of multiple target event identifiers in the event importance information of the data receiver is used as the receiving priority index of the data receiver.

[0099] Specifically, when a primary power operation data point is identified as an abnormal power event, it may not correspond to a single abnormal event type but may be associated with multiple abnormal event identifiers simultaneously. For example, a device failure may manifest as overload, abnormal voltage, and excessive temperature, generating multiple target event identifiers. To more accurately assess which data receiver has a higher priority for receiving alarm information for these composite abnormal events, it is necessary to comprehensively consider these multiple target event identifiers.

[0100] The "event importance information" can be understood as the level of attention or processing capability of each data receiver for different abnormal event identifiers. For example, for a power dispatch center, event identifiers related to the stable operation of the power grid (such as the risk of large-scale power outages) may have an extremely high importance index, while for an equipment maintenance department, event identifiers related to equipment fault diagnosis (such as transformer partial discharge) may have a higher importance index. This event importance information can be pre-configured and stored in the system, or dynamically adjusted based on historical data and expert experience. In practical applications, the "event identifier importance index" is a numerical value that quantifies the level of attention each data receiver pays to a specific event identifier. This index can be a positive integer, a floating-point number, or a percentage, and its value reflects the degree of importance. For example, the importance index can be set as an integer from 1 to 10, with 10 representing the highest importance.

[0101] When multiple target event identifiers exist, this application employs an "average" calculation method for comprehensive evaluation. The importance index for each data receiver across all relevant target event identifiers is summed, and then divided by the number of target event identifiers to obtain the receiver's priority index. This average calculation method ensures that all relevant anomalous event identifiers are considered fairly, avoiding priority evaluation bias caused by focusing on a single event identifier.

[0102] This application's solution addresses the problem of accurately determining the receiving priority index of data receivers when a first power operation data point corresponds to multiple abnormal events by introducing a comprehensive evaluation mechanism for multiple target event identifiers. Specifically, when a first power operation data point triggers multiple target event identifiers, the system no longer relies solely on a single event identifier to determine the receiving priority. Instead, it first obtains the event importance information preset by each data receiver. This information records in detail each data receiver's level of attention or processing capability for different event identifiers.

[0103] Subsequently, for each data receiver, the system extracts all important indices corresponding to multiple target event identifiers from its event information. By calculating the average of these important indices, the system generates the receiving priority index for that data receiver. This method of calculating averages quantifies each data receiver's overall attention to all relevant abnormal events, thus reflecting the actual priority of receiving alarm information more comprehensively and accurately.

[0104] Through the above technical solution, this application effectively solves the problem of inaccurate determination of the receiving priority index when multiple target event identifiers exist. By comprehensively considering the importance index of each data receiver to all relevant target event identifiers and calculating their average value as the receiving priority index, it can be ensured that alarm information is sent to the data receiver with the highest comprehensive attention or processing capability for the complex anomaly. This significantly improves the accuracy and effectiveness of alarm information transmission, avoids response delays or resource waste caused by improper priority assessment, and thus improves the overall response efficiency and processing quality of abnormal power events.

[0105] This application further proposes a data processing method for a meter carrier module, wherein, based on the reception priority index of the aforementioned multiple data receivers, the aforementioned alarm information is transmitted through a first data transmission path, specifically including:

[0106] Obtain the data encapsulation template for each data receiver; convert the alarm information into target alarm information based on the data encapsulation template for each data receiver; and transmit the corresponding target alarm information to each data receiver sequentially through the first data transmission path in descending order of receiving priority index.

[0107] Specifically, a data encapsulation template can be understood as a predefined structure or protocol used to standardize the format of alarm information when transmitted to a specific data receiver. For example, different data receivers may require alarm information in JSON, XML, binary, or other custom formats. A data encapsulation template can include field definitions, data types, encoding methods, and necessary protocol headers or footers. Its purpose is to ensure that alarm information can be transmitted in a format that the data receiver can recognize and process, thereby improving the compatibility and effectiveness of data transmission.

[0108] The target alarm information refers to the alarm information processed by the data encapsulation template. After the original alarm information is generated, it undergoes format conversion, field mapping, and data encoding operations based on the specific data receiver's requirements, using the corresponding data encapsulation template to generate target alarm information that conforms to the specific format requirements of that data receiver. In practical applications, transmission is performed in descending order of receiving priority index. This means that after determining the receiving priority index of all data receivers, the system sorts them according to these indices. The data receiver with the highest receiving priority index will receive its corresponding target alarm information first, followed by the next highest priority receiver, and so on. This sequential transmission mechanism ensures that the most critical and urgent data receivers responding to abnormal power events receive alarm information first, thus gaining valuable time for timely countermeasures.

[0109] This application's solution introduces a data encapsulation template, enabling the original alarm information to be customized and transformed according to the specific needs of different data receivers, generating target alarm information that conforms to their format requirements. This customization process prevents parsing failures or additional conversion overhead caused by format incompatibility during alarm information transmission. Furthermore, by strictly adhering to a descending order of reception priority, it ensures that the data receiver most critical to responding to abnormal power events receives the adapted alarm information first, effectively resolving potential compatibility issues and insufficient response efficiency limitations in basic solutions.

[0110] Through the above technical solution, this application can significantly improve the compatibility and reliability of alarm information transmission, ensuring that different types of data receivers can efficiently receive and process alarm information. Furthermore, by prioritizing the transmission of adapted alarm information to high-priority receivers, the response time to abnormal power events can be further shortened, improving the efficiency and safety of the power system in handling emergencies, thereby optimizing the overall data processing capabilities of the meter carrier module.

[0111] This application also discloses a data processing system for a power meter carrier module. The system includes: an acquisition device and a processing device; the acquisition device is used to acquire power operation data on the power line; the processing device is used to distinguish the power operation data according to the data characteristics of the power operation data to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events; the processing device is used to generate alarm information corresponding to the first power operation data; the data volume of the alarm information is less than a preset data volume threshold; the processing device is used to transmit the alarm information through a first data transmission path and transmit the second power operation data through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path.

[0112] The meter carrier module data processing system proposed in this application, through the configuration of dedicated acquisition and processing devices, achieves intelligent acquisition, differentiation, alarm generation, and differentiated transmission of power operation data. This system effectively solves the problems faced by traditional meter carrier modules in processing massive amounts of data, such as limited computing resources, alarm information transmission delays, and inflexible multi-target data output. By efficiently acquiring power data through the acquisition device, intelligently identifying abnormal events and generating lightweight alarms through the processing device, and then prioritizing transmission via high-speed paths, rapid response to abnormal events is ensured while also ensuring the effective transmission of regular data, significantly improving the data processing capabilities of the meter carrier module and the overall system response efficiency.

[0113] To better understand the meter carrier module data processing system proposed in this application, the acquisition device and processing device involved are described in detail below.

[0114] The specific methods for acquiring power operation data on power lines have been described in detail in the above embodiments, and will not be repeated here. It should be emphasized that the acquisition device in this application is used to implement the aforementioned data acquisition function. Specifically, the acquisition device can be configured to include one or more sensor modules, such as current transformers, voltage transformers, and high-precision analog-to-digital converters (ADCs), for directly acquiring analog signals from the power lines and converting them into digital power operation data. Alternatively, the acquisition device can be configured as a communication interface module, such as an RS485 interface, an Ethernet interface, or a wireless communication module, for receiving power operation data sent from external smart meters or other power monitoring devices. For example, the acquisition device can periodically read parameters such as voltage, current, and power from the connected smart meters.

[0115] The above embodiments have detailed the specific methods for distinguishing power operation data based on its data characteristics to obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events, which will not be repeated here. It should be emphasized that the processing device in this application is used to implement the above-mentioned data distinction function. The processing device can be configured to include a microcontroller (MCU) or digital signal processor (DSP), which internally runs data analysis and pattern recognition algorithms. For example, the processing device can preset a series of rules or thresholds; when the received power operation data meets specific conditions (such as voltage drop or current overload), it is marked as first power operation data; otherwise, it is marked as second power operation data. In another implementation, the processing device can integrate a lightweight pattern recognition module, which compares the features of the power operation data in real time, thereby classifying matching data as first power operation data and the remaining data as second power operation data.

[0116] The specific method for generating alarm information corresponding to the first power operation data has been described in detail in the above embodiments, and will not be repeated here. It should be emphasized that the processing device in this application is used to implement the above-mentioned alarm information generation function. Specifically, when the processing device identifies the first power operation data, it can be configured to extract only the core information related to the abnormal event, such as the event type, occurrence time, device identifier, and key abnormal values, and encapsulate this information into a concise alarm message. For example, the processing device can generate an alarm message containing only "overvoltage alarm," "timestamp," "device ID," and "peak voltage." As an optional implementation, if the original first power operation data volume is large, the processing device can perform data digest or high-intensity compression to ensure that the data volume of the generated alarm message is less than a preset data volume threshold.

[0117] The specific methods for transmitting alarm information through the first data transmission path and transmitting second power operation data through the second data transmission path have been described in detail in the above embodiments, and will not be repeated here. It should be emphasized that the processing device in this application is used to implement the aforementioned differentiated data transmission function. The processing device can be configured to include multiple communication interface modules to support different data transmission paths. For example, the first data transmission path can consist of a high-speed Ethernet interface or a cellular communication module (such as a 5G / 4G module) for fast transmission of alarm information. The second data transmission path can consist of a power line carrier (PLC) communication module or a low-power wireless communication module (such as a LoRa module) for transmitting second power operation data where real-time requirements are not high. The processing device selects the appropriate communication interface and transmission path for data transmission according to the data type.

[0118] The meter carrier module data processing system proposed in this application represents a significant improvement over existing meter carrier module systems. Traditional meter carrier module systems typically employ a uniform hardware architecture and data processing flow. All collected power operation data, regardless of their importance, are processed by similar processors and transmitted via a single or equally prioritized communication module. While this architecture is acceptable when the data volume is small or real-time requirements are not high, its limitations are becoming increasingly apparent under the demands of modern smart grids for rapid response and efficient transmission.

[0119] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A data processing method for an electricity meter carrier module, characterized in that, The methods include: Acquire power operation data on power lines; The power operation data is distinguished based on its data characteristics to obtain first power operation data used for judging abnormal power events and second power operation data not used for judging abnormal power events. Generate alarm information corresponding to the first power operation data; The amount of data in the alarm information is less than a preset data amount threshold; The alarm information is transmitted through a first data transmission path, and the second power operation data is transmitted through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path. The power operation data is differentiated based on its characteristics to obtain first power operation data used for judging abnormal power events and second power operation data not used for judging abnormal power events, including: Obtain a set of abnormal power event features; the set of abnormal power event features includes multiple abnormal power event features; Determine the data characteristics of power operation data; Determine the similarity between the data features and the features of each abnormal power event; If among multiple similarities corresponding to power operation data, there is one with a similarity greater than a preset similarity threshold, the power operation data is determined to be the first power operation data; otherwise, the power operation data is determined to be the second power operation data.

2. The data processing method for a meter carrier module according to claim 1, characterized in that, Generate alarm information corresponding to the first power operation data, including: Obtain the target timestamp corresponding to the first power operation data and the target device identifier of the target power equipment that generated the first power operation data; The event identifier of the abnormal power event feature corresponding to the similarity of the first power operation data greater than the preset similarity threshold is used as the target event identifier; The target event identifier, the target timestamp, and the target device identifier are encapsulated into preliminary alarm information; Determine whether the amount of data in the preliminary alarm information is less than a preset data amount threshold; If yes, the preliminary alarm information is determined to be the alarm information; otherwise, the preliminary alarm information is compressed until the data volume is less than a preset data volume threshold to obtain the alarm information.

3. The data processing method for a meter carrier module according to claim 1, characterized in that, The second power operation data is transmitted through the second data transmission path, including: The second power operation data is stored in a cache device; Determine the time interval between the earliest and latest second power operation data among multiple second power operation data in the cache device; If the interval duration exceeds a preset interval duration threshold, the second power operation data in the buffer device is transmitted through the second data transmission path.

4. The data processing method for a meter carrier module according to claim 3, characterized in that, Storing the second power operation data in a cache device includes: Obtain a data importance identifier for each of multiple power devices; the data importance identifier is used to indicate whether the power operation data generated by the power device is important or not. The second power operation data is stored in a cache device based on the data importance identifier of the power equipment that generates the second power operation data.

5. The data processing method for a meter carrier module according to claim 4, characterized in that, The caching device includes a first storage area and a second storage area. The first storage area stores second power operation data generated by power equipment whose power operation data is not important, indicated by a data importance identifier. The second storage area stores second power operation data generated by power equipment whose power operation data is important, indicated by a data importance identifier. The second power operation data is stored in the caching device according to the data importance identifier of the power equipment that generated it, including: When the corresponding data importance identifier indicates that the power operation data generated by the power equipment is not important, the second power operation data is compressed based on a preset compression algorithm, and the compressed second power operation data is stored in the first storage area. The compression ratio of the preset compression algorithm is less than the preset compression ratio. When the corresponding data importance identifier indicates that the power operation data generated by the power equipment is important, the second power operation data is losslessly compressed, and the compressed second power operation data is stored in the second storage area.

6. The data processing method for a meter carrier module according to claim 2, characterized in that, The alarm information is transmitted through the first data transmission path, including: The receiving priority index of each data receiver among the multiple data receivers receiving the alarm information is determined based on the target event identifier corresponding to the first power operation data. Based on the receiving priority index of the multiple data receivers, alarm information is transmitted sequentially to each data receiver through the first data transmission path.

7. A data processing method for a meter carrier module according to claim 6, characterized in that, There are multiple target event identifiers. Based on the target event identifiers corresponding to the first power operation data, the receiving priority index of each data receiver among the multiple data receivers receiving the alarm information is determined, including: Obtain event importance information for each of the multiple data receivers; the event importance information includes an importance index for each event identifier; For each data receiver, the average of the importance indices of multiple target event identifiers in the event importance information of the data receiver is used as the receiving priority index of the data receiver.

8. The data processing method for a meter carrier module according to claim 6, characterized in that, Based on the receiving priority index of the multiple data receivers, alarm information is transmitted sequentially to each data receiver through the first data transmission path, including: Obtain the data encapsulation template for each data receiver; The alarm information is converted into target alarm information according to the data encapsulation template of each data receiver; According to the receiving priority index from high to low, the corresponding target alarm information is transmitted to each data receiver in sequence through the first data transmission path.

9. A data processing system for an electricity meter carrier module, characterized in that, The system includes: an acquisition device and a processing device; The acquisition device is used to acquire power operation data on the power line; The processing device is used to distinguish the power operation data according to the data characteristics of the power operation data, and obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events. The processing device is used to generate alarm information corresponding to the first power operation data; the data volume of the alarm information is less than a preset data volume threshold. The processing device is used to transmit the alarm information through a first data transmission path and to transmit the second power operation data through a second data transmission path; the transmission rate of the first data transmission path is greater than the transmission rate of the second data transmission path. The processing device is used to distinguish the power operation data according to the data characteristics of the power operation data, and obtain first power operation data for judging abnormal power events and second power operation data not used for judging abnormal power events, including: Obtain a set of abnormal power event features; the set of abnormal power event features includes multiple abnormal power event features; Determine the data characteristics of power operation data; Determine the similarity between the data features and the features of each abnormal power event; If among multiple similarities corresponding to power operation data, there is one with a similarity greater than a preset similarity threshold, the power operation data is determined to be the first power operation data; otherwise, the power operation data is determined to be the second power operation data.

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