HPLC (High Performance Liquid Chromatography) frequency band active optimization method and system based on different transformer area models

Abstract

The invention provides an HPLC (High Performance Liquid Chromatography) frequency band active optimization method and system based on different transformer area models. The method comprises the following steps: classifying transmission data according to daily freezing, voltage, current, power and events; respectively constructing data models for different data types obtained after classification; formulating different data compression algorithm strategies for different data models to perform data compression; according to the compression algorithm type, the subcarriers are selected from the available subcarriers to transmit the obtained compressed data, and the unavailable subcarriers are shielded according to the carrier shielding table, so that signal interference and power waste are avoided. According to the method, accurate classification processing can be achieved, transmission data are finely classified through the data classification module, special models are customized for different data types in combination with the model construction module, and deep mining of data features is achieved.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of carrier communication, and in particular to a method and system for actively optimizing HPLC frequency bands based on different station area models. Background Art

[0002] With the rapid development of smart grids, HPLC (High-Speed ​​Power Line Carrier) communication technology has become a key method for power data transmission due to its advantages, such as requiring no additional wiring and low cost. However, existing HPLC carrier communication systems face technical bottlenecks in data transmission, including low spectrum resource utilization and insufficient transmission efficiency. Traditional systems lack in-depth analysis of power data characteristics and employ a single data processing and transmission strategy, resulting in an inability to match optimal transmission solutions for different data types (such as real-time monitoring data and historical statistics). Furthermore, subcarrier allocation relies on static rules, making it difficult to adapt to the complex and changing power line channel environment. This often leads to problems such as signal interference and power waste, severely limiting the system's transmission efficiency and reliability. Summary of the Invention

[0003] The present invention mainly provides an HPLC frequency band active optimization method based on different station area models and a system thereof to solve the technical problems raised in the above background technology.

[0004] The technical solution adopted by the present invention to solve the above technical problems is: The HPLC band active optimization method based on different station models includes the following steps: S1: Classify the transmission data according to daily freeze, voltage, current, power and events; S2: Build data models for different data types obtained after S1 classification; S3: Develop different data compression algorithm strategies for different data models to perform data compression; S4: Based on the compression algorithm type, subcarriers are selected from the available subcarriers to transmit the compressed data obtained in S3, and unavailable subcarriers are shielded according to the carrier shielding table to avoid signal interference and power waste.

[0005] Furthermore, during the data transmission process, the use of subcarriers is dynamically adjusted according to the data type and real-time communication status: for data with high real-time requirements, including key control instructions between the concentrator and the electric energy meter, and real-time meter reading data: priority is given to subcarriers with stable signal quality and high transmission rate in frequency band 0 or frequency band 1, the frequency range of frequency band 0 is 1.953MHz to 11.96MHz, and the frequency range of frequency band 1 is 2.441MHz to 5.615MHz, and QPSK or 16QAM modulation is used; diversity copy mode 9 or extended mode 2 is used, where mode 9 uses 520-byte physical blocks, 7 times diversity, QPSK modulation, and a code rate of 1 / 2; extended mode 2 uses 520-byte physical blocks, 2 times diversity, and 16 QAM modulation with a code rate of 16 / 18 is used to improve anti-interference capabilities and transmission efficiency. For non-real-time data, including batch transmission of historical data and reporting of low-priority events, relatively idle subcarriers in band 2 or band 3 are selected. The frequency range of band 2 is 0.781MHz to 2.930MHz, and the frequency range of band 3 is 1.758MHz to 2.930MHz. BPSK or low-diversity QPSK modulation is used. Diversity copy mode 14 or mode 10 is used. Mode 14 uses a 72-byte physical block, 7 diversity, BPSK modulation, and a code rate of 1 / 2. Mode 10 uses a 520-byte physical block, 2 diversity, BPSK modulation, and a code rate of 1 / 2 to reduce power consumption and ensure data integrity.

[0006] Furthermore, a suitable modulation method is selected according to the characteristics of the selected subcarrier and the data transmission requirements: when the signal-to-noise ratio of the subcarrier signal is greater than 25dB and the interference is small: 16QAM modulation is used for payload data to increase the data transmission rate; high-frequency subcarriers in frequency band 0 or frequency band 1 are used; when the signal-to-noise ratio of the subcarrier signal is 10dB-25dB: QPSK modulation is used to ensure transmission stability; subcarriers in frequency band 0 are used; for network management messages: BPSK modulation is used, and low-frequency subcarriers are selected, and the low-frequency subcarriers are frequency band 2 or frequency band 3 to enhance anti-attenuation capability.

[0007] According to the above technical solution of the HPLC frequency band active optimization method based on different station area models, an HPLC frequency band active optimization system based on different station area models will also be provided, including a data classification module, a model construction module, a data compression module and a subcarrier management module connected in sequence; A data classification module, for classifying received data; Model building module, used to build data models; A data compression module, configured to perform data compression; Subcarrier management module, used for subcarrier selection and shielding.

[0008] Furthermore, the data model includes a driver layer, an Ethernet transceiver sublayer, an OOP message transceiver sublayer, and an application task layer connected in sequence. The Ethernet transceiver sublayer establishes and maintains a SOCKET link with the terminal device; receives the original OOP message from the terminal device, generates the first processed data and sends it to the OOP message transceiver sublayer.

[0009] Furthermore, the OOP message transceiver sublayer receives the first processed data, performs message merging and framing processing; performs integrity check on the single-frame 698 message, generates second processed data and submits it to the application task layer.

[0010] Furthermore, the OOP message transceiver sublayer also identifies the frame type of the second processed data, which includes link data, application connection, and application data; directly responds to link data and application connection frames; submits the APDU of the application data frame to the application task layer and waits for processing results.

[0011] Furthermore, the driver layer communicates with external devices via SPI or Ethernet network port; receives physical layer data from the Ethernet transceiver sublayer, generates third processed data and uploads it, and the third processed data is the decoded OOP message.

[0012] Furthermore, the application task layer parses the second processed data to generate fourth processed data, where the fourth processed data is a configuration instruction; and configures the STA's acquisition plan and tasks according to the archive information in the CCO.

[0013] Furthermore, the application task layer also performs an initialization data extraction task; generates fifth processed data according to the archive information, and completes STA data collection, wherein the fifth processed data is a meter reading instruction.

[0014] Furthermore, the fifth processing data generation method includes: When the acquisition cycle is 1 minute, read the last record; When the acquisition period is greater than 1 minute, filter the data by freezing time.

[0015] Furthermore, the application task layer encapsulates the fifth processed data into a REPORT-Notification reporting frame; and transmits the reporting frame to the terminal through the driver layer, wherein the address field is the CCO address.

[0016] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention enables precise classification and processing. The data classification module categorizes transmitted data by daily freeze, voltage, current, power, and event. Combined with the model building module, it customizes specialized models for different data types, enabling in-depth mining of data features. Furthermore, the present invention implements a dynamic compression strategy. The data compression module adapts differentiated compression algorithms based on the characteristics of different data models, significantly reducing the amount of transmitted data and improving bandwidth utilization while ensuring data integrity.

[0017] Second, the present invention optimizes spectrum resource allocation through intelligent subcarrier management. The subcarrier management module dynamically selects high-quality subcarriers and blocks interfering subcarriers based on the real-time communication environment and data requirements, effectively avoiding signal conflicts and power waste. High-frequency, low-interference subcarriers are prioritized for real-time data, while non-real-time data is transmitted using idle subcarriers, achieving refined management of spectrum resources.

[0018] Third, the present invention's layered data model design enhances system stability. The data model adopts a four-layer architecture, with clear responsibilities at each layer and reduced coupling. The OOP message transceiver sublayer implements message merging, framing, verification, and type identification, and performs local processing of link data and application connection frames, reducing the load on upper layers. The driver layer utilizes dual SPI and Ethernet interfaces to enhance hardware compatibility.

[0019] The present invention will be explained in detail below with reference to the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 Flowchart of the present invention.

[0021] In the figure: 100, data classification module; 200, model building module; 300, data compression module; 400, subcarrier management module; 210, Ethernet transceiver sublayer; 220, OOP message transceiver sublayer; 230, driver layer; 240, application task layer. DETAILED DESCRIPTION

[0022] To facilitate understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in different forms and is not limited to the embodiments described in the text. On the contrary, these embodiments are provided to make the content disclosed in the present invention more thorough and comprehensive.

[0023] It should be noted that when an element is referred to as being "fixed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used in this article are for illustrative purposes only.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly used by those skilled in the art to which the present invention pertains. The terminology used in the specification of the present invention is for the purpose of describing specific embodiments and is not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0025] The embodiment of the present application provides an HPLC frequency band active optimization method based on different station area models. The schematic diagram of the HPLC frequency band active optimization method based on different station area models is shown in FIG. Figure 1 The HPLC frequency band active optimization method based on different substation models includes the following steps: classifying the transmitted data according to daily freeze, voltage, current, power, and events; constructing data models for the different data types obtained after classification; formulating different data compression algorithm strategies for different data models to compress the data; and selecting subcarriers from available subcarriers based on the compression algorithm type to transmit the compressed data, and shielding unavailable subcarriers according to the carrier shielding table to avoid signal interference and power waste. In this embodiment, refined management is achieved by categorizing transmission data by daily freeze, voltage, current, power, and event. Processing strategies are customized for different data characteristics. For daily freeze data, which is large in volume but less real-time, an efficient compression algorithm is used. For voltage and current data, which are highly real-time, transmission bandwidth is prioritized. Combined with a dynamic allocation mechanism, real-time data is prioritized for subcarriers with excellent signal quality, such as those with a signal-to-noise ratio greater than 25dB. Non-real-time data uses unused subcarriers, such as those in the 1.758-2.930MHz range of Band 3. This improves the system's processing capabilities for different data types and enhances resource allocation efficiency. Optional, please refer to the attached Figure 1During data transmission, the use of subcarriers is dynamically adjusted according to the data type and real-time communication status: for data with high real-time requirements, including key control instructions between the concentrator and the electric energy meter and real-time meter reading data, priority is given to subcarriers with stable signal quality and high transmission rate in frequency band 0 or frequency band 1. The frequency range of frequency band 0 is 1.953MHz to 11.96MHz, and the frequency range of frequency band 1 is 2.441MHz to 5.615MHz, and QPSK or 16QAM modulation is used; diversity copy mode 9 or extended mode 2 is used, where mode 9 uses 520-byte physical blocks, 7 times diversity, QPSK modulation, and a code rate of 1 / 2; extended mode 2 uses 520-byte physical blocks, 2 times diversity, and 16QAM. M modulation and a code rate of 16 / 18 are used to improve anti-interference capabilities and transmission efficiency. For non-real-time data, including batch transmission of historical data and reporting of low-priority events, relatively idle subcarriers in band 2 or band 3 are selected. The frequency range of band 2 is 0.781MHz to 2.930MHz, and the frequency range of band 3 is 1.758MHz to 2.930MHz. BPSK or low-diversity QPSK modulation is used. Diversity copy mode 14 or mode 10 is used. Mode 14 uses a 72-byte physical block, 7 diversity, BPSK modulation, and a code rate of 1 / 2. Mode 10 uses a 520-byte physical block, 2 diversity, BPSK modulation, and a code rate of 1 / 2 to reduce power consumption and ensure data integrity. In this embodiment, subcarrier usage is dynamically adjusted based on the data type and real-time communication status. Subcarriers with a signal-to-noise ratio greater than 25dB are preferentially allocated for real-time data such as voltage mutations, with a transmission rate of up to 1Mbps. Idle subcarriers are selected for non-real-time data such as daily freezes, increasing bandwidth utilization to 80%. Based on the HPLC physical layer communication protocol, reasonable allocation of system resources is achieved, balancing transmission efficiency and resource utilization, thereby improving the overall system performance and the timeliness of data transmission. Optional, please refer to the attached Figure 1 , select the appropriate modulation method according to the characteristics of the selected subcarrier and data transmission requirements: when the signal-to-noise ratio of the subcarrier signal is greater than 25dB and the interference is small, use 16QAM modulation for payload data to increase the data transmission rate; use high-frequency subcarriers in frequency band 0 or frequency band 1; when the signal-to-noise ratio of the subcarrier signal is 10dB-25dB, use QPSK modulation to ensure transmission stability; use subcarriers in frequency band 0; for network management messages, use BPSK modulation and select low-frequency subcarriers, which are frequency band 2 or frequency band 3, to enhance anti-attenuation capability. In this embodiment, before data transmission, the subcarrier management module 400 is linked to the modulation strategy. For high-quality subcarriers in frequency band 0, the signal-to-noise ratio is greater than 30dB, and the payload data is modulated using 16QAM, with a single-carrier transmission rate of 4 bits / symbol. In frequency band 1, 2.441~5.615MHz, when the signal quality of subcarriers 100~230 is average, QPSK modulation is used, and 2 bits / symbol ensures stability. In extreme environments, such as subcarriers 72~120 in frequency band 3, BPSK modulation is used for data with high reliability requirements, 1 bit / symbol, and the bit error rate is controlled below 10-5. The dynamic update mechanism of the carrier shielding table, such as real-time monitoring of interference and shielding of sudden noise frequency bands and coordination with the modulation method, enables the system to maintain efficient transmission under different channel conditions. Combined with the constellation point mapping content, the modulation mode is dynamically adjusted according to the subcarrier characteristics and data requirements: 16QAM is used when the signal-to-noise ratio is greater than 30dB, and the transmission rate is increased to 2Mbps; QPSK is used when the signal-to-noise ratio is 15-30dB, and the bit error rate is controlled below 10^-5; BPSK is used when the signal-to-noise ratio is less than 15dB. This ensures communication reliability in extreme environments and complies with the Q / GDW11612.41-2018 physical layer specification. It takes into account the transmission rate and stability under different signal qualities, optimizes data transmission efficiency and reliability, adapts to complex communication environments, and improves the communication performance of the system. Based on the same inventive concept, this embodiment also provides an HPLC frequency band active optimization system based on different station area models, including a data classification module 100, a model construction module 200, a data compression module 300 and a subcarrier management module 400 connected in sequence; the data classification module 100 is used to classify the received data; the model construction module 200 is used to construct a data model; the data compression module 300 is used to perform data compression; the subcarrier management module 400 is used for subcarrier selection and shielding. In this embodiment, each system module has a clear division of labor and works collaboratively. After the data classification module 100 completes preliminary data classification, the model construction module 200 constructs the corresponding data model, providing a foundation for subsequent data compression. The data compression module 300 compresses data based on the model's characteristics, and the subcarrier management module 400 accurately selects and blocks subcarriers based on the compressed data's characteristics and the communication environment. This ensures efficient operation of the entire system during the HPLC frequency band optimization process, achieving optimized processing of data transmission across different stations. Optional, please refer to the attached Figure 1 The data model includes a driver layer 230, an Ethernet transceiver sublayer 210, an OOP message transceiver sublayer 220, and an application task layer 240 connected in sequence. The Ethernet transceiver sublayer 210 establishes and maintains a SOCKET link with the terminal device; receives the original OOP message from the terminal device, generates the first processed data and sends it to the OOP message transceiver sublayer 220. In this embodiment, the Ethernet transceiver sublayer 210 is responsible for establishing and maintaining socket links and receiving and sending individual OOP messages, supporting concurrent processing of multiple connections. A heartbeat mechanism is used to maintain link status, ensuring stable and reliable network connections with a packet loss rate below 0.1%. This provides fundamental support for OOP message transmission in accordance with the HPLC power line carrier communication specification, ensuring accurate data transmission at the network layer. Optional, please refer to the attached Figure 1 The OOP message transceiver sublayer 220 receives the first processed data, performs message merging and framing processing; performs integrity check on the single frame 698 message, generates second processed data and submits it to the application task layer 240. In this embodiment, the OOP message transceiver sublayer 220 merges and distributes received OOP messages, performs framing and integrity verification on outgoing messages, and implements message framing and verification. For example, it automatically frames messages exceeding the MTU and ensures data integrity through CRC verification. In noisy power line environments, the frame verification success rate can reach 99.9%. This standardizes the message processing process at the link layer, reduces data transmission errors, significantly reduces the number of retransmissions, and improves communication reliability. Optional, please refer to the attached Figure 1 The OOP message transceiver sublayer 220 also identifies the frame type of the second processing data, which includes link data, application connection, and application data; directly responds to the link data and application connection frames; submits the APDU of the application data frame to the application task layer 240 and waits for the processing result. In this embodiment, the OOP message receiving and sending sublayer 220 completes message preprocessing, quickly identifies the frame type, and responds immediately to link data frames such as heartbeat packets with a response time of less than 10ms. It forwards application data frames such as meter reading instructions to the application layer for processing, realizes task offloading, improves the system's concurrent processing capabilities, increases throughput by 20%, ensures timely response to key frames, and optimizes the system's processing capabilities for different types of communication requirements. Optional, please refer to the attached Figure 1 , the driver layer 230 communicates with external devices through the SPI or Ethernet network port; receives physical layer data from the Ethernet transceiver sublayer 210, generates and uploads third processed data, and the third processed data is the decoded OOP message. In this embodiment, the driver layer 230 adopts a dual interface design of SPI and Ethernet to support high-speed data transmission. SPI can reach 10MHz and Ethernet can reach 100Mbps. The communication interface is dynamically switched through the chip select signal, and it automatically switches to the backup channel when a power line interference occurs suddenly. It provides a flexible and reliable hardware interface connection method to ensure communication continuity. According to the DL / T698.45-2018 standard, it enhances the system's hardware compatibility and communication stability. Optional, please refer to the attached Figure 1 The application task layer 240 parses the second processed data to generate fourth processed data, which is a configuration instruction; and configures the STA's acquisition plan and tasks according to the archive information in the CCO. In this embodiment, the application task layer 240 uses action commands to configure collection plans and tasks, supports remote parameter distribution and local storage, can store 1024 configuration information, and automatically synchronizes STA configurations based on CCO archive information. The configuration success rate reaches 100%, realizing flexible configuration and unified management of collection tasks, ensuring that the system can quickly deploy collection tasks according to actual needs, and improving the flexibility and accuracy of data collection and the efficient management capabilities of large-scale equipment. Optional, please refer to the attached Figure 1 , the application task layer 240 also performs the initialization data extraction task; generates the fifth processing data according to the file information, completes the STA data collection, and the fifth processing data is the meter reading instruction. In this embodiment, after the application task layer 240 task is started, the data extraction task is initialized and the collection task is executed. The CCO polls the STA device according to the archive information. The polling period is configurable, with a minimum of 1 second. The meter reading success rate can reach 99.8% under ideal conditions. In complex environments, such as when the signal attenuation is greater than 30dB, it still remains above 95%. According to the Q / GDW11612.41-2018 standard, the standardization and automation of the data collection process are guaranteed, the efficiency and integrity of data collection are improved, and timely acquisition of data from each site is ensured. Optional, please refer to the attached Figure 1 ,The fifth method of generating processing data includes: when the collection period is 1 minute, reading the last record; when the collection period is greater than 1 minute, filtering data according to the freezing time. In this embodiment, the application task layer 240 uses the OOP protocol reading minute freezing method to intelligently select the reading strategy according to the collection cycle: when the collection cycle is 1 minute, method 9 is used to read the previous record, and the response time is <500ms; when the collection cycle is >1 minute, the freezing time is filtered through method 5002, and the data accuracy is improved to 99.99%, which complies with the DL / T645-2017 electricity meter communication protocol, making data reading more in line with actual collection needs, and can accurately obtain the required data under different collection cycles, thereby improving the flexibility and accuracy of data reading. Optional, please refer to the attached Figure 1 The application task layer 240 further encapsulates the fifth processed data into a REPORT-Notification reporting frame; and transmits the reporting frame to the terminal through the driver layer 230, wherein the address field is the CCO address. In this embodiment, the application task layer 240 uses a CCO node to report the read data back frames according to the configured task cycle, supports multi-frame merging transmission, and supports a maximum of 64 frames. The address field uses a CCO unified identifier to reduce address resolution overhead, improve uplink data transmission efficiency, and increase uplink bandwidth utilization by 40%. This ensures the standardization and accuracy of data reporting, facilitates the concentrator to collect and process data, and improves the orderliness of data transmission and the coordination of the system. The above description of the present invention is exemplified in conjunction with the accompanying drawings. It is obvious that the specific implementation of the present invention is not limited to the above-mentioned method. As long as such non-substantial improvements are made using the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the scope of protection of the present invention.

Claims

1. The HPLC band active optimization method based on different station area models is characterized by: The following steps are involved: S1: Classify the transmission data according to daily freeze, voltage, current, power and events; S2: Build data models for different data types obtained after S1 classification; S3: Develop different data compression algorithm strategies for different data models to perform data compression; S4: Based on the compression algorithm type, subcarriers are selected from the available subcarriers to transmit the compressed data obtained in S3, and unavailable subcarriers are shielded according to the carrier shielding table to avoid signal interference and power waste.

2. The HPLC frequency band active optimization method based on different station area models according to claim 1 is characterized in that, During data transmission, the use of subcarriers is dynamically adjusted according to the data type and real-time communication status: For data with high real-time requirements, including key control instructions between the concentrator and the electricity meter, and real-time meter reading data: priority is given to subcarriers with stable signal quality and high transmission rate in frequency band 0 or frequency band 1. The frequency range of frequency band 0 is 1.953MHz to 11.96MHz, and the frequency range of frequency band 1 is 2.441MHz to 5.615MHz, and QPSK or 16QAM modulation is used; diversity copy mode 9 or extended mode 2 is used, where mode 9 uses 520-byte physical blocks, 7 diversity, QPSK modulation, and a code rate of 1 / 2; extended mode 2 uses 520-byte physical blocks, 2 diversity, and 16QAM Modulation, code rate 16 / 18, to improve anti-interference capability and transmission efficiency; for non-real-time data, including batch transmission of historical data and reporting of low-priority events: select relatively idle subcarriers in band 2 or band 3. The frequency range of band 2 is 0.781MHz to 2.930MHz, and the frequency range of band 3 is 1.758MHz to 2.930MHz. BPSK or low-diversity QPSK modulation is used. Use diversity copy mode 14 or mode 10. Mode 14 uses a 72-byte physical block, 7 diversity, BPSK modulation, and a code rate of 1 / 2. Mode 10 uses a 520-byte physical block, 2 diversity, BPSK modulation, and a code rate of 1 / 2 to reduce power consumption and ensure data integrity.

3. The HPLC frequency band active optimization method based on different station area models according to claim 1 is characterized in that, Select the appropriate modulation method based on the characteristics of the selected subcarrier and data transmission requirements: When the signal-to-noise ratio of the subcarrier signal is greater than 25dB and the interference is small: use 16QAM modulation for payload data to increase the data transmission rate; use high-frequency subcarriers in frequency band 0 or frequency band 1; when the signal-to-noise ratio of the subcarrier signal is 10dB-25dB: use QPSK modulation to ensure transmission stability; use subcarriers in frequency band 0; for network management messages: use BPSK modulation and select low-frequency subcarriers, which are frequency band 2 or frequency band 3, to enhance anti-fading capability.

4. The HPLC frequency band active optimization system based on different station area models is applied to the HPLC frequency band active optimization method based on different station area models according to any one of claims 1 to 3, characterized in that: It comprises a data classification module (100), a model construction module (200), a data compression module (300) and a subcarrier management module (400) which are connected in sequence; A data classification module (100), configured to classify received data; A model building module (200) is used to build a data model; A data compression module (300) for performing data compression; The subcarrier management module (400) is used for subcarrier selection and shielding.

5. The HPLC frequency band active optimization system based on different station area models according to claim 4 is characterized in that: The data model comprises a driver layer (230), an Ethernet transceiver sublayer (210), an OOP message transceiver sublayer (220), and an application task layer (240) connected in sequence, wherein the Ethernet transceiver sublayer (210) establishes and maintains a SOCKET link with a terminal device; An original OOP message from a terminal device is received, first processed data is generated and sent to the OOP message transceiver sublayer (220).

6. The HPLC frequency band active optimization system based on different station area models according to claim 5 is characterized in that: The OOP message transceiver sublayer (220) receives the first processed data, performs message merging and framing processing; performs integrity check on the single-frame 698 message, generates second processed data and submits it to the application task layer (240).

7. The HPLC frequency band active optimization system based on different station area models according to claim 6 is characterized in that: The OOP message transceiver sublayer (220) further identifies the frame type of the second processing data, which includes link data, application connection, and application data; directly responds to the link data and application connection frames; submits the APDU of the application data frame to the application task layer (240) and waits for the processing result.

8. The HPLC frequency band active optimization system based on different station area models according to claim 5 is characterized in that: The driver layer (230) communicates with external devices via an SPI or Ethernet network port; receives physical layer data from the Ethernet transceiver sublayer (210), generates third processed data, and uploads the data; the third processed data is a decoded OOP message.

9. The HPLC frequency band active optimization system based on different station area models according to claim 6, characterized in that: The application task layer (240) parses the second processed data to generate fourth processed data, wherein the fourth processed data is a configuration instruction; and configures the STA's acquisition plan and tasks according to the archive information in the CCO.

10. The HPLC frequency band active optimization system based on different station area models according to claim 9, characterized in that: The application task layer (240) also performs an initialization data extraction task; generates fifth processed data according to the archive information, and completes STA data collection, wherein the fifth processed data is a meter reading instruction.

11. The HPLC frequency band active optimization system based on different station area models according to claim 10, characterized in that: The fifth method for generating the processed data includes: When the acquisition cycle is 1 minute, read the last record; When the acquisition period is greater than 1 minute, filter the data by freezing time.

12. The HPLC frequency band active optimization system based on different station area models according to claim 10, characterized in that: The application task layer (240) further encapsulates the fifth processed data into a REPORT-Notification reporting frame; and transmits the reporting frame to the terminal through the driver layer (230), wherein the address field is the CCO address.

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