Efficient photovoltaic inverter communication monitoring conversion method and system

Abstract

The invention discloses an efficient photovoltaic inverter communication monitoring conversion method and system, and relates to the technical field of communication monitoring services. The efficient photovoltaic inverter communication monitoring conversion method comprises the following steps: S1, collecting and preprocessing link structure data and field feature data, and constructing a standardized communication transmission data set; s2, analyzing the transmission delay of each level of communication node, and dynamically adjusting a data packaging structure and a main / standby channel forwarding strategy; s3, evaluating the structure mismatching risk of the main channel and the redundant channel, and triggering a path switching and structure recombination process; and S4, integrating delay and mismatch risk analysis results, and dynamically optimizing a link rhythm distribution structure. The problems that delay and distortion are easily introduced due to the fact that inverter data transmission is packaged and decoded for multiple times in different levels of gateways, and an existing system lacks an end-to-end link performance collaborative awareness and optimization control mechanism from the edge side to a cloud platform are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of communication monitoring services, and particularly relates to an efficient photovoltaic inverter communication monitoring conversion method and system. BACKGROUND

[0002] With the increasing popularity of photovoltaic power generation systems in multi-region deployment, inverter communication monitoring has become an important link to realize remote operation and maintenance and state perception. Current photovoltaic inverter communication monitoring usually relies on RS-485, CAN bus, Ethernet or wireless network to build a data link, and completes bidirectional communication with a monitoring host through master-slave polling or event reporting. During the communication process, the inverter sends a data frame containing key fields such as voltage, current, power, temperature and fault state at a fixed period, and the upper collection terminal parses the protocol and extracts the required fields for operation state evaluation and energy efficiency analysis. To adapt to complex scenarios such as multi-group string access and multi-device grid connection, some systems also use master-slave channel redundancy configuration, segmented packaging structure and protocol automatic recognition mechanism to realize real-time monitoring of the data transmission path and protocol conversion control, and enhance the communication integrity and field consistency through data synchronization verification and cache comparison. In the running process, the communication monitoring module continuously records the field transmission state, response time delay change and link stability parameters to form a communication state basic data set supporting remote diagnosis and dynamic scheduling.

[0003] For example, the patent for invention with the announcement number CN117675006B discloses a multi-GNSS receiver optical communication monitoring system and method. In the system, the reference station receiving device is used for receiving satellite signals and solving reference station site data. The reference station site data is sent to the GNSS optical host through the optical fiber transmission mode by the optical splitter. The GNSS optical host is used for receiving the reference station site data and sending the reference station site data to each flow station receiving device through the optical fiber transmission mode. The flow station receiving device is used for receiving satellite signals, solving self-site data, and differentiating the self-site data from the received reference station site data to obtain positioning data. The GNSS optical host is also used for receiving the positioning data sent by the flow station receiving device and uploading the positioning data after packaging. The application reduces the cost while improving the data transmission quality through the optical fiber transmission and the setting of the optical splitter and the GNSS optical host, and can realize the expansion of the number of optical hosts in the multi-antenna scenario.

[0004] For example, the invention patent with publication number CN115549780B discloses a method and device for monitoring performance parameters of an optical communication network. The method comprises: obtaining a target polarization coherent light original signal received by a receiving end of an optical communication system; inputting the target polarization coherent light original signal into a preset space-time feature network to make the space-time feature network output a modulation format and an optical signal-to-noise ratio corresponding to the target polarization coherent light original signal, so as to take the modulation format and the optical signal-to-noise ratio as a current optical communication network performance parameter monitoring result. The present application can effectively shorten the time required for monitoring the performance parameters of the optical communication network, improve the efficiency and real-time performance of monitoring the performance parameters of the optical communication network, and ensure the identification accuracy of the monitoring results of the performance parameters of the optical communication network, thereby meeting the real-time performance and high-precision requirements of the optical communication system for monitoring the performance parameters of the optical communication network.

[0005] However, the existing communication monitoring method mainly focuses on static link state statistics or post-fault diagnosis backtracking, and lacks real-time tracking and dynamic control capability for link fluctuation behavior, field reconstruction rule and protocol conversion response path in the communication process. Especially in the process of sudden change of data load, link switching or redundant path takeover, it is difficult to synchronously identify the data consistency state and structure compression demand of the main and standby channels, and it is impossible to build a bidirectional control strategy and rhythm matching mechanism between end-to-end, which limits the continuity guarantee and stability maintenance of data conversion in the communication process.

[0006] In view of the above problems, there is an urgent need for an efficient photovoltaic inverter communication monitoring conversion method and system. SUMMARY

[0007] Technical problems solved

[0008] In view of the deficiencies of the prior art, the present application provides an efficient photovoltaic inverter communication monitoring conversion method and system, which solves the problem that inverter data transmission is encapsulated and decoded multiple times in different levels of gateway, which is easy to introduce delay and distortion, and the existing system lacks end-to-end link performance collaborative awareness and optimization control mechanism from the edge side to the cloud platform.

[0009] Technical scheme

[0010] In order to achieve the above object, the present application is realized by the following technical solutions: a high-efficiency photovoltaic inverter communication monitoring conversion method and system, comprising S1, collecting link structure data and field characteristic data, and preprocessing the collected link structure data and field characteristic data to construct a standardized communication transmission data set; S2, based on the standardized communication transmission data set, analyzing the transmission delay of each communication node in the link, and dynamically adjusting the data encapsulation structure and the main and standby channel forwarding strategy based on the analysis result; S3, based on the standardized communication transmission data set, evaluating the structure mismatch risk in the main channel and the redundant channel, and dynamically triggering the path switching control and structure reorganization process based on the evaluation result; S4, taking the transmission delay analysis result and the mismatch risk evaluation result as input, comprehensively analyzing the current link transmission state, and dynamically adjusting the rhythm distribution structure based on the analysis result.

[0011] Further, the steps of collecting link structure data and field characteristic data are: structurally analyzing the encapsulation content of each level, collecting link structure data, and the link structure data includes: the number of communication segments, the receiving timestamp and sending timestamp of each node, the communication distance of each path segment, the number of data frames forwarded by the path segment in each period, the occupied resource ratio of the path node buffer queue, and the number of abnormal communication events, while recording the adjacent measurement time interval in the current collection period; the number of data frames forwarded by the path segment in each period, the occupied resource ratio and the number of abnormal communication events are processed by the principal component collaborative enhancement algorithm, the principal component disturbance value based on the collaborative change trend is constructed, the main driving load factor of the path segment is extracted by calculating the change trajectory of the principal component disturbance value in the current period, and the load change value of the path segment is obtained by expanding the main driving load factor in unit time; collecting field characteristic data, and the field characteristic data includes: the original field data received by the main channel, the data frame field value sequence received by the main channel and the redundant channel, and the field value set of each frame of data; the field value set of each frame of data in the main channel and the redundant channel is calculated by hash digest, the field values are arranged in a structured sequence according to the field order, and then independent hash operation is performed on each field to form the field hash code sequence of the corresponding data frame by splicing the results in order.

[0012] Further, the collected link structure data and field characteristic data are preprocessed, and the specific steps of constructing the standardized communication transmission data set are: preprocessing the collected link structure data and field characteristic data, completing the unified standardization of time data including receiving timestamp and sending timestamp, and eliminating time sequence conflicts caused by inverter communication interruption and frame skipping; for path distance and communication segment number, combined with the actual network topology structure of photovoltaic inverter deployment, the jump segment mutation and path redundancy record are compressed and mapped to restore the real transmission structure skeleton; before processing the number of forwarded data frames, cache occupancy ratio and the number of abnormal communication events, the link state sliding window monitoring mechanism is introduced to perform difference test on the communication fluctuation in the local period, and dynamically mark the abnormal section of the uplink rate during debugging; before hash calculation, the field value set is matched with the inverter protocol template to automatically perform field name unification, content redundancy removal and null value filling; at the same time, in order to cope with the data conflict caused by multiple inverter concurrent upload in photovoltaic scene, the redundant field merging rule is introduced in the preprocessing stage, the high repetition field occupies the link bandwidth is compressed through the main channel priority reconstruction and high frequency field priority reservation strategy, and the link structure data and field characteristic data after preprocessing are normalized to construct the standardized communication transmission data set.

[0013] Further, based on the standardized communication transmission data set, the transmission delay of each level communication node in the link is analyzed, and the specific steps are: the difference between the receiving timestamp and the sending timestamp of each node is divided by the communication distance, and then multiplied by the ratio between the load change value of the path and the adjacent measurement time interval to obtain the response delay load value; the response delay load values of all communication segments are calculated, and the response delay load values of the communication segments in the whole transmission path are added and then divided by the number of communication segments to obtain the path delay evaluation value.

[0014] Further, the dynamic adjustment of data encapsulation structure and primary and standby channel forwarding strategy based on the analysis result comprises the following steps: real-time comparison of the current path delay evaluation value and the path delay threshold value; when the path delay evaluation value is less than or equal to the path delay threshold value, it is determined that the communication path from the inverter to the cloud platform is stable in the current period, the existing dual-mode uplink channel priority and data frame encapsulation parameters remain unchanged, the existing field mapping structure and standard communication protocol format are continued to be used for data conversion and reporting, and the path delay distribution result of the current period is recorded and the link performance benchmark is updated; when the path delay evaluation value is greater than the path delay threshold value, it is immediately determined that there is communication path congestion and intermediate node response lag, the path switching logic is triggered, the data output channel is temporarily switched from the cloud communication mode to the power grid collection mode based on the current link quality sensing result, the data frame format is re-encapsulated to match the local Modbus interface, the bidirectional protocol conversion compression strategy is simultaneously enabled, the field mapping length and timestamp density are reduced, the instantaneous data load is reduced, and the abnormal jump point number and delay peak are returned to the communication diagnosis module.

[0015] Further, the evaluation of the structural mismatch risk in the primary channel and the redundant channel based on the standardized communication transmission data set comprises the following steps: calculating the difference vector norm between the field value sequences of the data frames received by the primary channel and the redundant channel, adding the difference vector norm between the field value sequences to the difference vector norm between the field hash code sequences of the data frames in the primary channel and the redundant channel, and then dividing by the sum of the vector norm of the field value sequence of the data frames received by the primary channel and the vector norm of the field value sequence of the data frames received by the redundant channel, to obtain the structural loss ratio; taking the logarithm of the structural loss ratio and multiplying it by the corresponding redundant channel adjustment factor to obtain the redundancy compensation value; extracting the original field data received by the primary channel, subtracting the redundancy compensation value from the original field data to obtain the redundancy correction output value.

[0016] Further, the path switching control and structure reconfiguration process triggered dynamically based on the evaluation results comprises the following specific steps: for the fluctuation of the redundancy correction value, the hierarchical regulation strategy is adjusted in real time to realize dynamic adaptation and abnormal defense of the link structure: when the redundancy correction value remains unchanged or continuously decreases compared with the last period: enable field compression upload strategy, merge high-frequency fields into structure segment blocks, suspend real-time alignment process of standby channel, reduce redundancy bandwidth occupation; when the redundancy correction value fluctuates and rises in two consecutive periods: start field-level interpolation fusion mechanism, extract corresponding fields from the standby channel for bias correction, activate field consistency verification process, force to enable double-path synchronization confirmation for the marker field, temporarily switch the field to hash index priority upload, and improve verification efficiency; when the redundancy correction value jumps sharply in a short period, and abnormal situations such as segment number disorder, field overlap, and hash mismatch occur: start field rearrangement analysis process, reconstruct field and segment index mapping, force to issue segment synchronization instruction to the main channel inverter, refresh local data frame structure, mark the channel as structure reconfiguration state, and link the main and standby channel switching and upload path buffer strategy to prevent abnormal data from being stored.

[0017] Further, the comprehensive analysis of the current link transmission state based on the transmission delay analysis result and the mismatch risk evaluation result comprises the following specific steps: construct a continuous response delay sequence by directly collecting the request sending time and response receiving time of the data frame sent by the inverter in the communication process, dynamically smooth the continuous response delay sequence by sliding window weighted average algorithm, extract the stable delay center value in the sliding window, and convert the delay median offset value by combining the minimum delay offset compression rule; obtain the path delay evaluation value, take the absolute value of the path delay evaluation value minus the delay median offset value plus one, take the logarithm of the value of the path delay evaluation value minus the delay median offset value plus one, and obtain the difference compression value; obtain the basic compression rate by subtracting the redundancy correction output value from one and then dividing by the difference compression value; obtain the regulation gain value by multiplying the redundancy correction output value by the corresponding link reconfiguration incentive factor and then adding one; obtain the link adaptive regulation value by multiplying the basic compression rate by the regulation gain value.

[0018] Further, the step of dynamically adjusting the rhythm distribution structure based on the analysis result is: real-time comparison of the current link adaptive control value and the path control threshold, the path control threshold including a first control threshold and a second control threshold; when the link adaptive control value is less than or equal to the second control threshold, maintaining the existing dual-mode communication channel priority, the segmented encapsulation structure and the protocol conversion parameter configuration, and synchronously enabling the microframe response tracking mechanism; periodically sampling and recording the encapsulation redundancy and the confirmation response interval of each level of forwarding node; when the link adaptive control value is greater than the second control threshold and less than or equal to the first control threshold, immediately adjusting the main channel encapsulation structure, reconstructing the data frame assembly order according to the field aggregation priority, inserting the field level skip list between multiple levels of nodes through the linkage compression controller, simplifying the redundant field forwarding path, dynamically compressing the time tag precision, and reducing the occupation strength of the response time sequence of the path intermediate layer; simultaneously recording the link delay increment distribution and the redundant field skip frequency of the current period, and constructing the cross-node encapsulation compression behavior trajectory; when the link adaptive control value is greater than the first control threshold, reserving the cloud platform channel as a response distribution channel, collecting the link into a power grid local compensation path, splitting and recombining the field level in the high-nested encapsulation structure, stripping the additional redundant fields and injecting the synchronization marker bit; simultaneously dividing the high-frequency uplink rhythm into two levels of sub-rhythm structure, respectively adapting the delay-sensitive segment and the content redundancy segment, starting the link compression flow control recording program, and archiving all field forwarding layers and path structure skip nodes.

[0019] The second aspect of the application provides a high-efficiency photovoltaic inverter communication monitoring conversion system, comprising: a multi-level encapsulation structure analysis module, collecting link structure data and field characteristic data, and preprocessing the collected link structure data and field characteristic data to construct a standardized communication transmission data set; a communication path delay tracking module, based on the standardized communication transmission data set, analyzing the transmission delay of each level of communication node in the link, and dynamically adjusting the data encapsulation structure and the main and backup channel forwarding strategy based on the analysis result; a transmission consistency verification and redundancy recombination module, based on the standardized communication transmission data set, evaluating the structure mismatch risk in the main channel and the redundant channel, and dynamically triggering the path switching control and the structure recombination process based on the evaluation result; an end-to-end link cooperative control module, taking the transmission delay analysis result and the mismatch risk evaluation result as input, comprehensively analyzing the current link transmission state, and dynamically adjusting the rhythm distribution structure based on the analysis result.

[0020] Advantages

[0021] The application has the following advantages:

[0022] (1) The high-efficiency photovoltaic inverter communication monitoring conversion method and system, by constructing the main and backup channel redundancy mechanism and the field compression strategy, improve the structure integration efficiency and the path fault tolerance ability in the data transmission process.

[0023] (2) The high-efficiency photovoltaic inverter communication monitoring and conversion method and system introduces link response tracking and dynamic field mapping technology to realize fine-grained monitoring and adjustment of encapsulation redundancy and response rhythm in the communication path.

[0024] (3) The high-efficiency photovoltaic inverter communication monitoring and conversion method and system enhances the system's adaptability to communication formats of multiple types of inverters and its cross-protocol interaction performance by integrating multi-channel protocol conversion and data frame structure reconstruction processes.

[0025] (4) This efficient photovoltaic inverter communication monitoring and conversion method and system enhances the integrity verification capability and structural anomaly identification accuracy of uploaded data frames by integrating field-level hash verification and structural consistency detection process.

[0026] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0027] Figure 1 This is a flowchart of a high-efficiency photovoltaic inverter communication monitoring and conversion method according to the present invention;

[0028] Figure 2 This is a structural diagram of a high-efficiency photovoltaic inverter communication monitoring and conversion system according to the present invention;

[0029] Figure 3 This is a line graph of the link adaptive control value involved in this invention;

[0030] Figure 4 This is a segmented data channel scheduling diagram involved in the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Please see Figures 1-4The embodiment of the application provides a technical scheme: an efficient photovoltaic inverter communication monitoring conversion method and system, comprising S1, collecting link structure data and field characteristic data, and preprocessing the collected link structure data and field characteristic data to construct a standardized communication transmission data set; S2, based on the standardized communication transmission data set, analyzing the transmission delay of each level of communication node in the link, and dynamically adjusting the data encapsulation structure and the main and standby channel forwarding strategy based on the analysis result; S3, based on the standardized communication transmission data set, evaluating the structure mismatch risk in the main channel and the redundant channel, and dynamically triggering the path switching control and the structure reorganization process based on the evaluation result; S4, taking the transmission delay analysis result and the mismatch risk evaluation result as input, comprehensively analyzing the current link transmission state, and dynamically adjusting the rhythm distribution structure based on the analysis result.

[0033] Specifically, the specific steps of collecting link structure data and field characteristic data are: structurally analyzing the encapsulation content of each level, based on field boundary characteristics, frame nesting rules and encapsulation redundancy indication bits, restoring the logical structure and physical forwarding path in the communication data layer by layer, and constructing a complete encapsulation structure mapping chain; collecting link structure data, the link structure data including: the number of communication segments, the receiving timestamp and the sending timestamp of each node, the communication distance of each segment path, the number of data frames forwarded by the path segment in each period, the occupied resource ratio of the path node buffer queue and the number of abnormal communication events, and recording the adjacent measurement time interval in the current collection period to support the path timing continuity and flow control stability evaluation.

[0034] The number of data frames forwarded by the path segment in each period, the occupied resource ratio and the number of abnormal communication events are processed by using the principal component collaborative enhancement algorithm, the collaborative change trend among multiple variables is fused, the information dimension is compressed and the disturbance identification sensitivity is improved, and the principal component disturbance value based on the collaborative change trend is constructed; then the change trajectory of the principal component disturbance value in the current period is calculated, the evolution trend of the path segment state fluctuation is captured, the main driving load factor of the path segment is extracted, and the main driving load factor is unfolded in unit time to construct the load change value sequence of the path segment, which is used for subsequent load transfer strategy and path control priority determination.

[0035] The field characteristic data is collected, and the field characteristic data includes: the original field data received by the main channel, the data frame field value sequence received by the main channel and the redundant channel, and the field value set extracted according to the field distribution in each frame of data, which constitutes the basic input of field-level structure analysis.

[0036] The field value set of each frame of data in the main channel and the redundant channel is subjected to a hash digest calculation. First, the field value set is arranged in a structured sequence according to the field order to ensure consistency and controllability of comparison. Then, an independent hash operation is performed on each field to extract a unique fingerprint identification of the field. All hash results are spliced in sequence to form a field hash code sequence of the corresponding data frame, which serves as the core basis for field-level consistency verification and synchronization offset detection.

[0037] In the embodiment, the full-process structured analysis and dynamic load evaluation of the communication data of the photovoltaic inverter are implemented, a basic data framework for link behavior modeling and field consistency monitoring is constructed, and adaptive control strategies for subsequent communication path regulation, main-backup channel switching, and field-level abnormality identification are supported. Through structured analysis, the multi-level packaging content is restored, the communication paths and data distribution logic in the link are clarified, and structural basis is provided for path state monitoring. The structural data including timestamps of each node, path length, and data frame load are extracted, and key load disturbance factors are identified by using a principal component collaborative enhancement algorithm to realize quantitative modeling of path segment load changes. The field feature mapping of the main channel and the redundant channel is constructed, and the hash digest mechanism is used to realize the compressed expression of field order consistency and value range integrity to provide index support for subsequent field mismatch, redundant jump, and content difference correction. The main drive load factor and the field hash code sequence are used as inputs to form a dual basis for link state identification and field consistency judgment, and support real-time calculation and linkage response of link adaptive regulation values and redundant correction output values.

[0038] Specifically, the collected link structure data and field feature data are preprocessed, and the specific steps of constructing a standardized communication transmission data set are as follows: the collected link structure data and field feature data are preprocessed, first, the unified standardized processing of time data including the receiving timestamp and the sending timestamp is completed, the time format recorded by different communication nodes is uniformly converted into a high-precision timestamp format, and the time sequence alignment accuracy between cross-devices is ensured; at the same time, the time sequence conflict caused by inverter communication interruption and frame skipping in the original data is scanned and removed, and the time continuity of the link data is reconstructed. For path distance and communication segment number, combined with the actual network topology of the photovoltaic inverter deployment, the forwarding hop and repeated path segment are automatically identified by a topology identification algorithm, and the jump segment mutation and path redundancy record are compressed and mapped to restore the real segmented transmission structure skeleton and eliminate the path distortion deviation caused by dynamic reallocation of nodes.

[0039] Before processing metrics such as the number of data frames forwarded within a path segment, buffer usage ratio, and number of abnormal communication events, a link status sliding window monitoring mechanism is introduced in the preprocessing flow. This mechanism tracks the changes in communication parameters in real time using a fixed-width sliding window, performs difference checks on communication fluctuation trends within local periods, and dynamically identifies abnormal segments where uplink rates experience sudden changes or lags during debugging, serving as the basis for subsequent control responses. Before entering the hash calculation process, the field value set undergoes field structure matching based on the inverter communication protocol template. This automatically standardizes field names, eliminates redundancy in nested field content, and fills in missing values ​​for missing fields, ensuring structural consistency and data integrity.

[0040] Meanwhile, to effectively address field conflicts and redundancy congestion caused by concurrent uploads from multiple inverters in photovoltaic scenarios, redundant field merging rules are further introduced in the preprocessing stage. Based on the main channel priority reconstruction mechanism and field access frequency sorting logic, highly repetitive fields are dynamically identified and merged / replaced, prioritizing the retention of core field content and compressing its bandwidth proportion in the data frame. Finally, the link structure data and field feature data processed through multiple rounds are uniformly normalized to construct a stable and comparable standardized communication transmission dataset, providing a unified data foundation for subsequent path control calculations, redundancy correction analysis, and channel switching strategies.

[0041] This implementation plan comprehensively improves the transmission efficiency and structural consistency of photovoltaic inverter communication data through in-depth preprocessing of link structure data and field feature data. When processing time-related data, standardized receiving and sending timestamps are used, and time sequence conflicts caused by communication interruptions and frame skipping are eliminated to ensure the continuity and reliability of time-series data. Regarding path structure processing, the transmission skeleton is accurately restored using path compression mapping based on the actual network topology of the photovoltaic inverter deployment, effectively avoiding structural misjudgments caused by segment redundancy. For load characteristics such as the number of forwarded data frames, buffer occupancy ratio, and the number of abnormal communication events, a link status sliding window mechanism is used to dynamically mark abnormal uplink rate segments, achieving high-precision perception of local communication fluctuations. In terms of field features, field names are unified, null values ​​are filled, and content redundancy is removed using the inverter protocol template, improving the consistency and accuracy of hash calculations. Simultaneously, redundant field merging rules are introduced, along with a main channel priority reconstruction and high-frequency field priority retention strategy, effectively alleviating the link conflict pressure caused by concurrent uploading from multiple inverters. Finally, a standardized communication transmission dataset is constructed through normalization processing, providing high-quality, structurally clear basic data support for subsequent path control analysis and redundancy verification mechanisms.

[0042] Specifically, based on the standardized communication transmission data set, the transmission delay of each communication node in the link is analyzed in the following specific steps: the difference between the receiving timestamp and the sending timestamp of each node is divided by the communication distance, and then multiplied by the ratio between the load change value of the path and the adjacent measurement time interval to obtain the response delay load value; the response delay load values of all communication segments are calculated, and the response delay load values of the communication segments in the entire transmission path are added and then divided by the number of communication segments to obtain the path delay evaluation value.

[0043] The path delay evaluation value calculation formula is:

[0044]

[0045] In the formula, N represents the number of communication segments, which is used to identify the number of link hops that can be completely counted in this evaluation period, and is the counting basis for segment calculation, which comes from the path node division information between the edge device and the cloud; represents the receiving timestamp of the ith node, which is used to record the actual time when the data frame arrives at the node, and is the key time reference point for calculating the communication delay, which comes from the receiving event log of each intermediate communication node; represents the sending timestamp of the ith node, which is used to record the start time of data frame forwarding and response by the node, and is the key index for analyzing the delay source and link congestion, which comes from the sending event record of the node end; L i represents the communication distance of the ith path segment, which is used to represent the communication hop distance between nodes, and is the basic dimension for delay normalization calculation, which comes from the network topology structure and routing path configuration table; A i represents the load change value of the ith path segment per unit time, which is used to measure the communication load change trend of the path segment per unit time, and is the core index reflecting the link structure stability and node scheduling pressure change, which comes from the main driving load factor extracted based on the principal component disturbance value trajectory analysis, and the dynamic load expression sequence obtained by expanding calculation in the cycle sliding window; represents the adjacent measurement time interval, which is used to normalize the time span of load change speed, and is the basic dimension parameter of time domain calculation, which comes from the periodic sampling time window.

[0046] In the embodiment, the coupling relationship between the time delay difference and the load influence of data in the transmission process in the multi-node link is quantified, the key parameters of the difference between the node receiving time and the sending time, the communication distance, the communication load per unit time and its change rate are comprehensively considered, the collaborative evaluation of the link transmission timeliness and load balance is realized, and the dynamic monitoring and optimization control strategy making of the photovoltaic inverter communication path state are supported.

[0047] Specifically, and based on the analysis results dynamically adjust the data encapsulation structure and master-slave channel forwarding strategy specific steps are: real-time comparison of the current path delay evaluation value and path delay threshold, in keeping the path state dynamic perception, combined with the node response record and forwarding timing characteristics of the communication link in the last period, realize the phased judgment and strategy linkage switching of link time effectiveness stability:

[0048] When the path delay evaluation value is less than or equal to the path delay threshold, it is determined that the communication path from the inverter to the cloud platform is stable in the current period, the existing data path topology structure is maintained unchanged, the existing dual-mode uplink channel priority and data frame encapsulation parameters are maintained unchanged, and the existing field mapping structure and DL / T698.45 protocol format are continued to be used for data conversion and reporting; At the same time, the forwarding time record, response interval distribution and cache occupation fluctuation involving the path segment are archived and counted, the path delay distribution result of the current period is generated, and the link performance benchmark update item is written into the regulation reference table;

[0049] When the path delay evaluation value is greater than the path delay threshold, it is immediately determined that there is a communication path congestion and intermediate node response lag problem, the path switching logic is triggered, the data output channel is temporarily switched from the cloud communication mode to the power grid collection mode based on the current link quality perception result, and the data frame format is re-encapsulated to match the local Modbus interface protocol requirements; Synchronously enable the bidirectional protocol conversion compression strategy, dynamically reduce the mapping length in the field packaging stage, regularize the field hash index structure, compress the timestamp density and redundant marker bit in the time information processing, and reduce the buffer pressure of the intermediate node caused by instantaneous data load; In addition, the abnormal jump point number, delay peak position in the path sequence and node cache response value are returned to the communication diagnosis module.

[0050] In the embodiment, the periodic determination of the running state of the communication link and the dynamic switching of the path strategy are realized, the stability level of the current inverter-to-cloud platform communication path is identified by real-time comparison of the path delay evaluation value and the path delay threshold, the existing channel priority, field encapsulation structure and protocol format are maintained unchanged when the path is stable, the communication efficiency and protocol consistency are guaranteed; When the path is abnormal, based on the link quality perception result, quickly switch to the local collection channel, link protocol conversion and data compression strategy, reduce the load pressure and guarantee the data continuity, and feedback the abnormal path information to the diagnosis module, provide reference basis for subsequent link structure modification and stability recovery.

[0051] Specifically, based on the standardized communication transmission data set, the structural mismatch risk in the main channel and the redundant channel is evaluated. The specific steps are: calculating the difference vector norm between the field value sequences of the data frames received by the main channel and the redundant channel, adding the difference vector norm between the field value sequences to the difference vector norm of the field hash code sequences of the data frames in the main channel and the redundant channel, and then dividing by the sum of the vector norm of the field value sequences of the data frames received by the main channel and the vector norm of the field value sequences of the data frames received by the redundant channel, to obtain the structural loss ratio; taking the logarithm of the structural loss ratio and multiplying it by the corresponding redundant channel adjustment factor to obtain the redundant compensation value; extracting the original field data received by the main channel, subtracting the redundant compensation value from the original field data to obtain the redundant correction output value.

[0052] The redundant correction output value calculation formula is:

[0053]

[0054] In the formula, B represents the original field data received by the main channel, which is used as the basis for the recombination reference data frame content, and is derived from the uplink main link receiver buffer; F1 represents the field value sequence of the data frames received by the main channel, F2 represents the field value sequence of the data frames received by the redundant channel, the field value sequence is used for field-level numerical difference comparison, and is derived from the corresponding field set in the multi-path acquisition record; H1 represents the field hash code sequence of the data frames in the main channel, H2 represents the field hash code sequence of the data frames in the redundant channel, the field hash code sequence is used for structural consistency verification, and is a lightweight index value for auxiliary judgment of content integrity, which is derived from real-time field content hash calculation; λ represents the redundant channel adjustment factor, the value range of which is between 0.5 and 2, which is used to adjust the influence weight of the structural consistency difference between the main channel and the redundant channel in the overall evaluation, and is derived from the joint fluctuation level of the multi-dimensional indexes of the field synchronization integrity rate, the structural offset frequency and the conflict field proportion exhibited by the redundant channel in the running period. In specific calculation, first, the synchronization mark and reconstruction success rate of each data frame field of the redundant channel in the continuous sampling window are extracted to establish a field-level synchronization matching sequence; then, the structural offset trend trajectory is constructed by combining the time sequence position offset of the field value, the redundancy degree of the redundant segment and the field overlap frequency; then, the field matching stability coefficient and the structural mismatch compression ratio are calculated by aligning the above features with the structural stability features of the main channel in the same time window; finally, the redundant channel adjustment factor is output by weighting and fusing the above results according to the load contribution rate and the fluctuation backfilling ability of the channel in the current task scene. When the stability of the redundant channel is poor, the mismatch is frequent and the field redundancy interference is high, the redundant channel adjustment factor increases, reducing the influence weight in the structural consistency calculation; on the contrary, when the structural integrity of the redundant channel is high and the compensation behavior is stable, the redundant channel adjustment factor is appropriately reduced, so that the balancing compensation effect of the main channel fluctuation is strengthened.

[0055] In this embodiment, the redundancy correction output value is calculated to evaluate the consistency of the data frame content received by the main channel and the redundant channel at the structural level, and the degree of difference between the joint field value sequence and the field hash code sequence dynamically reflects the integrity degradation and conflict distribution of the data structure during transmission, providing key judgment basis for subsequent data field compensation correction, protocol conversion compression and channel weight adjustment.

[0056] Specifically, and based on the evaluation results, the path switching control and structure reorganization process specific steps are triggered dynamically: for the fluctuation of the redundancy correction value, the hierarchical regulation strategy is adjusted in real time to realize the dynamic adaptation and abnormal defense of the link structure:

[0057] When the redundancy correction value remains unchanged or continuously decreases compared with the last period, it is determined that the data content difference between the current main channel and the redundant channel gradually converges, and the field structure tends to be stable. The field compression upload strategy is enabled, the repeated fields with higher frequency are merged into segment block format according to the structure position, the field mapping density is optimized, and the real-time synchronization alignment process of the standby channel is suspended, reducing the redundancy bandwidth resource occupation in the multi-path concurrent process and relieving the instantaneous transmission pressure caused by channel conflict;

[0058] When the redundancy correction value fluctuates and rises in two consecutive periods, and the field matching relationship drifts slightly, the field level interpolation fusion mechanism is started, the field values corresponding to the main channel are extracted from the standby channel for bias correction, and the field consistency verification process is activated. The content of the field marked as deviation is forced to enable the double-path synchronization confirmation strategy, and the part of the field is temporarily switched to the hash index priority upload channel to ensure the priority of field hash digest matching efficiency and improve the overall accuracy and processing response speed of data repair;

[0059] When the redundancy correction value jumps sharply in a short period, and the structural abnormal characteristics including segment number disorder, field overlap and hash mismatch are monitored, the field rearrangement analysis process is immediately started, the mapping relationship between the fields and the segment indexes in the main channel data is reconstructed, and the segment synchronization instruction is forced to be issued to the main channel inverter to refresh the data frame structure layout in its local cache. At the same time, the current communication channel is marked as a structure reconfiguration state, and the switching process and data upload path buffer strategy between the main and standby channels are linked to prevent data errors from being stored and communication feedback abnormalities during structure disorder, and to ensure the data stability and redundancy fault tolerance of the overall link.

[0060] In the embodiment, the fluctuation trend of the redundancy correction value is used to dynamically adjust the data uploading and channel control strategy, so as to realize adaptive regulation and control of the communication link structure stability and data consistency guarantee in abnormal scenarios. By identifying the stable, slowly rising and rapidly changing states of the redundancy correction value, field compression uploading, interpolation fusion repair and structure reconstruction mechanisms are triggered respectively, and then the field mapping mode, channel priority and uploading path selection are dynamically switched, so as to effectively improve the data integration efficiency, link transmission flexibility and structure fault tolerance in the multi-channel high-frequency transmission scenario.

[0061] Specifically, the transmission delay analysis result and the mismatch risk evaluation result are taken as inputs to comprehensively analyze the current link transmission state. The specific steps are as follows: a continuous response delay sequence is constructed by directly collecting the request sending time and response receiving time of the data frame sent by the inverter in the communication process; the continuous response delay sequence is dynamically smoothed by a sliding window weighted average algorithm; the stable delay center value in the sliding window is extracted; and the time delay median offset value is obtained by combining the minimum delay offset compression rule. The path delay evaluation value is obtained; the absolute value of the path delay evaluation value minus the time delay median offset value plus one is obtained; the logarithm of the value of the path delay evaluation value minus the time delay median offset value plus one is obtained; the difference compression value is obtained; the basic compression rate is obtained by subtracting the redundancy correction output value from one and then dividing by the difference compression value; the regulation gain value is obtained by multiplying the redundancy correction output value by the corresponding link reconstruction incentive factor and then adding one; and the link adaptive regulation value is obtained by multiplying the basic compression rate by the regulation gain value.

[0062] The link adaptive regulation value calculation formula is:

[0063]

[0064] In the formula, R represents a redundancy correction output value, used to measure the degree of data difference between the primary and standby channels, and is a core index reflecting the fluctuation trend of field consistency; D represents a path delay evaluation value, used to measure the communication delay state of the current end-to-end path, and is a basic variable for identifying the response timeliness of the channel; θ represents a delay median offset value, which is directly collected by performing time pairing on the request sending time and the response receiving time of the data frame sent by the inverter in the communication process, and a continuous response delay sequence is constructed; then, the continuous response delay sequence is dynamically smoothed by using a sliding window weighted average algorithm, the stable delay center value in the window is extracted, and the delay median offset value is converted by combining the lowest delay offset compression rule; η represents a link reconstruction incentive factor, whose value range is between 0.5 and 2.0, and is used to regulate the response strength of the primary and standby channel weight adjustment and channel structure dynamic reconstruction under the path delay abnormality background, and is derived from the comprehensive deviation degree of the link performance fluctuation amplitude, path hop frequency and field consistency correction value in the current sampling period. In the specific calculation, firstly, the path delay change rate, field mapping mismatch times and path hop interval sequence in the current communication channel are extracted, and the severity and duration thereof are evaluated based on the sliding window mechanism; then, a link fluctuation benchmark model is constructed by combining the stable statistical characteristics of each link index in the historical steady state period; then, the current index offset value is subjected to polynomial difference fitting with the benchmark model, the change amplitude and superposition trend thereof are calculated, and the link reconstruction incentive factor is finally formed based on the aggregation of the hop frequency factor, field mismatch penalty factor and path disturbance balancing factor by using a mapping function. When the link abnormality continues to intensify and the key path channel mapping failure rate increases, the link reconstruction incentive factor correspondingly increases, so as to enhance the driving force of link reconstruction and channel switching; on the contrary, when the link state tends to be stable and the path index returns to the stable interval, the link reconstruction incentive factor value automatically decreases, so as to inhibit the resource overhead caused by excessive reconstruction, thereby realizing the incentive regulation of the stable adaptation and recovery strategy of the link structure in the complex fluctuation scenario.

[0065] In this embodiment, the redundancy correction output value of example 1 is set to 0.523, the path delay evaluation value is 0.684, the delay median offset value is 0.071, the link reconstruction incentive factor is 0.906, and the link adaptive regulation value is 0.476;

[0066] The redundancy correction output value of example 2 is set to 0.719, the path delay evaluation value is 0.623, the delay median offset value is 0.225, and the link reconstruction incentive factor is 1.524;

[0067] The redundancy correction output value of example 3 is set to 0.591, the path delay evaluation value is 0.919, the delay median offset value is 0.175, and the link reconstruction incentive factor is 0.989;

[0068] In Example 4, the redundancy correction output value is set to 0.688, the path delay evaluation value is 0.761, the median delay offset value is 0.107, and the link reconfiguration excitation factor is 1.876.

[0069] In Example 5, the redundancy correction output value is set to 0.436, the path delay evaluation value is 0.937, the median delay offset value is 0.254, and the link reconfiguration excitation factor is 0.745.

[0070] In Example 6, the redundancy correction output value is set to 0.803, the path delay evaluation value is 1.368, the median delay offset value is 0.251, and the link reconfiguration excitation factor is 1.345.

[0071] In Example 7, the redundancy correction output value is set to 0.270, the path delay evaluation value is 0.894, the median delay offset is 0.112, and the link reconfiguration excitation factor is 1.962. The link adaptive control values ​​for each example are calculated as shown in Table 1.

[0072] Table 1 Link Adaptive Control Value Data Table

[0073]

[0074] like Figure 3 As shown in Table 1, the link adaptive control value provided in this application example is a line graph. Figure 3 As can be seen, Instance 7 has the highest link adaptive control value, reaching 0.663, indicating that it exhibits strong dynamic adaptation characteristics in terms of redundancy correction output, path delay control, and link excitation response. It possesses even higher adaptive adjustment capabilities, especially under structurally unstable conditions, making it suitable for prioritizing primary / backup path adjustment and segment-level compression strategies to achieve anomaly avoidance and ensure smooth data flow. Conversely, Instance 6 has the lowest link adaptive control value, at only 0.386. Although its redundancy correction output value is relatively high, its overall link adjustment potential is limited by the coupling effect of path delay offset and excitation factor fluctuations. It is suitable to retain it as a buffer path during stable transmission phases, reducing the frequency of high-frequency control interventions. The link adaptive control value line graph clearly shows the distribution of structural adjustment potential for different instances within the current communication cycle, helping to identify key control channels and adaptive bottleneck nodes under high load conditions, providing a foundation for subsequent link structure reconstruction and hierarchical control strategies.

[0075] Specifically, the steps for dynamically adjusting the rhythm distribution structure based on the analysis results are as follows: Real-time comparison of the current link adaptive control value with the path control threshold. The path control threshold includes a first control threshold and a second control threshold, used to classify the link's operating state and trigger corresponding control strategies.

[0076] When the link adaptive control value is less than or equal to the second control threshold, it is determined that the link is in a smooth stage, the existing dual-mode communication channel priority, segmentation and encapsulation structure and protocol conversion parameter configuration are maintained unchanged to avoid interference with the stable link structure; a microframe response tracking mechanism is enabled synchronously, and the encapsulation redundancy, confirmation response interval and data frame response rate of each level of forwarding node are collected periodically to extract the stable feature interval in a continuous period;

[0077] When the link adaptive control value is greater than the second control threshold and less than or equal to the first control threshold, it is determined that the link is in a load fluctuation stage, the main channel encapsulation structure is immediately adjusted, the data frame assembly order is reconstructed according to the field aggregation priority, and the high-frequency field path forwarding chain is shortened; the linkage compression controller inserts a field level skip list between multiple nodes to compress and map the association between field segments, further simplifying the redundant field relay process; the time tag precision is compressed synchronously to reduce the proportion of time delay characteristic fields in the intermediate layer; the link delay increment distribution and redundant field jump frequency in a period are recorded to mark the position of frequently occurring abnormal jump segments, and finally the cross-node encapsulation compression behavior trajectory is constructed to assist in judging the load evolution mode of the current encapsulation structure;

[0078] When the link adaptive control value is greater than the first control threshold, it is determined that the link structure is in an unstable stage, a dual-channel decoupling mechanism is immediately started, the channel is reserved as a response distribution channel, the link is collected as a power grid local compensation path, and a lightweight data path deviating from the main network is constructed; the segmentation data channel scheduling diagram is regenerated, the field level in the current high-nested encapsulation structure is split and reorganized, the additional redundant fields are stripped and the synchronization marker bit is injected to ensure the integrity of the transmission structure; at the same time, the current high-frequency uplink rhythm is divided into two levels of sub-rhythm structure to adapt to the rhythm distribution characteristics of the time delay sensitive segment and the content redundant segment; and a link compression flow control recording program is started to archive the forwarding layer number, response time consumption curve and path structure jump node of all fields in this stage, providing traceability basis and evolution samples for link structure reconstruction and strategy optimization.

[0079] As Figure 3As shown, the segmented data channel scheduling diagram provided by the present application describes the complete scheduling process from the acquisition terminal to the data distribution channel, and the specific process is as follows: first, the data is sent from the acquisition terminal, enters the scheduling node 1 after high-nested structure packaging, and performs preliminary analysis; then, the data is subjected to a field stripping step to decompose the nested fields and enter the scheduling node 2, where reconstruction and structure arrangement are performed; after completing the recombination, a synchronization marker is inserted as an anchor point for subsequent channel selection. Then, the data enters the path distributor and is dynamically distributed to different downstream channels according to the synchronization marker information: one is to enter the cloud platform channel to undertake the uplink response task; the other is to enter the local compensation channel to supplement key data and ensure completeness and stability. The segmented data channel scheduling diagram clearly reflects the cooperative distribution mechanism and scheduling logic of complex packaged data between the primary and backup channels.

[0080] In the present embodiment, according to the real-time evaluation result of the link adaptive control value, the stability stage of the current communication path is dynamically determined, and the corresponding link control mechanism is triggered accordingly to realize precise adjustment of the communication channel structure, packaging strategy and forwarding rhythm. By setting double-threshold demarcation points, the three stages of link unobstructed, fluctuation and instability are clearly divided, and the processing logic in different states is effectively controlled: the original structure stability is maintained in the link unobstructed stage, the structure compression and rhythm reconstruction are performed in the link fluctuation stage, and the channel decoupling and path reconstruction are performed in the link instability stage. This step significantly improves the link adaptability, control accuracy and data transmission robustness of the photovoltaic inverter in complex communication environment.

[0081] The second aspect of the present application provides a high-efficiency photovoltaic inverter communication monitoring and conversion system, comprising:

[0082] The multi-level packaging structure analysis module collects link structure data and field characteristic data, the link structure data includes the packaging level number, path hop number and node response delay between each communication node, the field characteristic data includes field hash digest value, field sequence position and redundancy mapping number, and the collected data is preprocessed to complete the operations of field naming unification, null value filling and time label alignment, and a standardized communication transmission data set containing path structure, field mapping and transmission order is constructed;

[0083] The communication path time delay tracking module, based on the standardized communication transmission data set, deconstructs the transmission delay of each communication node in the link, identifies the stable segment and jump segment positions, and dynamically adjusts the data packaging structure and primary and backup channel forwarding strategy based on the analysis result, including adjusting the field packaging granularity, compressing the time precision of delay-intensive fields, and adjusting the relay priority of the response lag node, to construct a dynamic forwarding structure adapted to different path load states;

[0084] The transmission consistency verification and redundancy recombination module evaluates the consistency of the main channel and the redundant channel in terms of field structure, sequence and content, detects abnormal structures such as field misplacement, segment sequence disorder and redundancy overlap, and triggers the structure recombination logic after identifying the deviation to quickly reconstruct the abnormal path structure and align the data.

[0085] The end-to-end link cooperative regulation module comprehensively analyzes the current link transmission state based on the transmission delay analysis results and the mismatch risk evaluation results, constructs a link state score value in combination with the path compression ratio, the rhythm mismatch degree and the node interference index, and dynamically adjusts the rhythm distribution structure based on the score results to divide the data rhythm levels of the main channel and the redundant channel.

[0086] In the embodiment, the multi-level package structure analysis module structurally extracts and standardizes the structural transmission data and field level information collected in the link to ensure that the field mapping relationship is clear, the node hop count and the package depth are traceable in the subsequent analysis process, and provides a unified data basis for path delay modeling and consistency verification;

[0087] The communication path delay tracking module identifies the transmission delay distribution between nodes in the link, locates high-delay nodes and jump burst sections, and dynamically adjusts the data package structure and the scheduling strategy of the main and backup channels accordingly, thereby reducing the interference of path lag on the overall communication rhythm;

[0088] The transmission consistency verification and redundancy recombination module evaluates the consistency of the main channel and the redundant channel in terms of field structure, sequence and content, detects abnormal structures such as field misplacement, segment sequence disorder and redundancy overlap, and triggers the structure recombination logic after identifying the deviation to quickly reconstruct the abnormal path structure and align the data;

[0089] The end-to-end link cooperative regulation module comprehensively analyzes the path delay state and the structure mismatch risk, dynamically allocates data distribution rhythm and channel division strategy according to the indicators of transmission stability and node rhythm consistency, realizes cross-channel cooperation and link adaptive adjustment, and guarantees the continuity and steady-state transmission capability of the link in complex communication scenarios.

[0090] It should be noted that, in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0091] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments described. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to provide the best illustration of the application principles and their practical application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A high efficiency photovoltaic inverter communication monitoring conversion method, characterized by: The method comprises the following steps: S1, collecting link structure data and field characteristic data, and preprocessing the collected link structure data and field characteristic data to construct a standardized communication transmission data set; S2, based on the standardized communication transmission data set, analyzing the transmission delay of each communication node in the link, and dynamically adjusting the data encapsulation structure and the main and standby channel forwarding strategy based on the analysis result; S3, based on the standardized communication transmission data set, evaluating the structure mismatch risk in the main channel and the redundant channel, and dynamically triggering the path switching control and structure reorganization process based on the evaluation result; S4, taking the transmission delay analysis result and the mismatch risk evaluation result as input, comprehensively analyzing the current link transmission state, and dynamically adjusting the rhythm distribution structure based on the analysis result.

2. The method of claim 1, wherein the method further comprises: The specific steps of collecting link structure data and field characteristic data are as follows: Structural analysis is performed on the encapsulation content of each level to collect link structure data, which includes the number of communication segments, the receiving and sending time stamps of each node, the communication distance of each path segment, the number of data frames forwarded by each path segment in each period, the resource occupation ratio of the path node buffer queue, and the number of abnormal communication events, while recording the adjacent measurement time interval in the current collection period; The number of data frames forwarded by each path segment in each period, the resource occupation ratio, and the number of abnormal communication events are processed by using the principal component collaborative enhancement algorithm to construct the principal component disturbance value based on the collaborative change trend, and the main driving load factor of the path segment is extracted by calculating the change trajectory of the principal component disturbance value in the current period, and the load change value of the path segment is obtained by expanding the main driving load factor in unit time; Collect field characteristic data, which includes the original field data received by the main channel, the data frame field value sequence received by the main channel and the redundant channel, and the field value set of each frame of data; Hash digest calculation is performed on the field value set of each frame of data in the main channel and the redundant channel, and the field values are arranged in a structured sequence according to the field order, and then independent hash operation is performed on each field to form the field hash code sequence of the corresponding data frame by concatenating the results in order.

3. The method of claim 1, wherein the method further comprises: The specific steps of preprocessing the collected link structure data and field characteristic data to construct a standardized communication transmission data set are as follows: The collected link structure data and field characteristic data are preprocessed to complete the unified standardization of time data including receiving and sending time stamps, and to eliminate time sequence conflicts caused by inverter communication interruption and frame skipping; for path distance and communication segment number, combined with the actual network topology of photovoltaic inverter deployment, the jump segment mutation and path redundancy record are compressed and mapped to restore the real transmission structure skeleton; Before processing the number of forwarded data frames, the cache occupation ratio and the number of abnormal communication events, a link state sliding window monitoring mechanism is introduced to perform difference test on the communication fluctuation in the local period, and to dynamically mark the abnormal section of the uplink rate during debugging; before hash calculation, the field name is unified, the content is de-redundant, and the null value is filled by automatically executing the inverter protocol template matching; Meanwhile, to deal with the data conflict caused by the concurrent uploading of multiple inverters in the photovoltaic scene, a redundancy field merging rule is introduced in the preprocessing stage, the high-frequency field priority reservation strategy is adopted, and the link bandwidth occupied by the high-repetition field is compressed.

4. The method of claim 1, wherein the method further comprises: The specific steps for analyzing the transmission delay of each communication node in the link based on the standardized communication transmission dataset are as follows: The difference between the receiving timestamp and the sending timestamp of each node is divided by the communication distance, and then multiplied by the ratio between the load change value of the path and the adjacent measurement time interval to obtain the response delay load value. The response delay load values of all communication segments are calculated, and the sum of the response delay load values of the communication segments in the entire transmission path is divided by the number of communication segments to obtain the path delay evaluation value.

5. The method of claim 1, wherein the method further comprises: The specific steps for dynamically adjusting the data encapsulation structure and the primary and backup channel forwarding strategy based on the analysis result are as follows: The current path delay evaluation value is compared with the path delay threshold value in real time: When the path delay evaluation value is less than or equal to the path delay threshold value, it is determined that the communication path from the inverter to the cloud platform is stable in the current period, the existing dual-mode uplink channel priority and data frame encapsulation parameters are kept unchanged, the existing field mapping structure and standard communication protocol format are continued to be used for data conversion and reporting, and the path delay distribution result of the current period is recorded to update the link performance benchmark; When the path delay evaluation value is greater than the path delay threshold value, it is immediately determined that there is congestion in the communication path and the response of the intermediate node is lagging, the path switching logic is triggered, the data output channel is temporarily switched from the cloud communication mode to the power grid collection mode based on the current link quality perception result, the data frame format is re-encapsulated to match the local Modbus interface, the bidirectional protocol conversion compression strategy is simultaneously enabled, the field mapping length and timestamp density are reduced, the instantaneous data load is reduced, and the abnormal jump point number and delay peak are returned to the communication diagnosis module.

6. The method of claim 1, wherein: The specific steps for evaluating the structure mismatch risk in the primary channel and the redundant channel based on the standardized communication transmission dataset are as follows: The difference vector norm between the field value sequences of the data frames received by the primary channel and the redundant channel is calculated, the difference vector norm between the field value sequences is added to the difference vector norm between the field hash code sequences of the data frames in the primary channel and the redundant channel, and then divided by the sum of the vector norm of the field value sequence of the data frame received by the primary channel, the vector norm of the field value sequence of the data frame received by the redundant channel, and the sum of the three, to obtain the structure loss ratio; The structure loss ratio is taken as the logarithm and multiplied by the corresponding redundant channel adjustment factor to obtain the redundancy compensation value; The original field data received by the primary channel is extracted, and the original field data is subtracted by the redundancy compensation value to obtain the redundancy correction output value.

7. The method of claim 1, wherein the method further comprises: The specific steps for dynamically triggering the path switching control and structure recombination process based on the evaluation result are as follows: For the fluctuation of the redundancy correction value, the hierarchical control strategy is adjusted in real time to realize the dynamic adaptation and abnormal defense of the link structure: When the redundancy correction value remains unchanged or continuously decreases compared with the last period: enable field compression upload strategy, merge high-frequency fields into structural segment blocks, suspend standby channel real-time alignment process, and reduce redundancy bandwidth occupancy; When the redundancy correction value fluctuates and rises in two consecutive periods: start field-level interpolation fusion mechanism, extract corresponding fields from the standby channel for bias correction, activate field consistency verification process, force enable double-path synchronization confirmation for marked fields, temporarily switch fields to hash index priority upload, and improve verification efficiency; When the redundancy correction value jumps sharply in a short period and abnormal situations such as segment number disorder, field overlap, and hash mismatch occur: start field rearrangement analysis process, reconstruct field and segment index mapping, force issue segment synchronization instruction to main channel inverter, refresh local data frame structure, mark the channel as structure reconstruction state, and link main and standby channel switching and upload path buffer strategy to prevent abnormal data from entering the database.

8. The method of claim 1, wherein the method further comprises: transmitting a message to the high efficiency photovoltaic inverter to request the high efficiency photovoltaic inverter to transmit a message to the monitoring device. The specific steps of the comprehensive analysis of the current link transmission state based on the transmission delay analysis result and the mismatch risk assessment result are: A continuous response delay sequence is constructed by directly collecting the request sending time and response receiving time of the data frame sent by the inverter in the communication process. The continuous response delay sequence is dynamically smoothed by a sliding window weighted average algorithm. The stable delay center value in the sliding window is extracted, and the time delay median offset value is obtained by converting the lowest delay offset compression rule; The path delay evaluation value is obtained. The absolute value of the path delay evaluation value minus the time delay median offset value plus one is obtained. The logarithm of the value of the path delay evaluation value minus the time delay median offset value plus one is taken, and one is added to obtain the difference compression value; The basic compression rate is obtained by subtracting the redundancy correction output value from one and then dividing by the difference compression value; The regulation gain value is obtained by multiplying the redundancy correction output value by the corresponding link reconstruction incentive factor and then adding one; The link adaptive regulation value is obtained by multiplying the basic compression rate and the regulation gain value.

9. The method of claim 1, wherein the method further comprises: transmitting a message to the high efficiency photovoltaic inverter to request the high efficiency photovoltaic inverter to transmit a message to the monitoring device; and receiving the message from the high efficiency photovoltaic inverter. The specific steps of dynamically adjusting the rhythm distribution structure based on the analysis result are: The current link adaptive regulation value is compared with the path regulation threshold value in real time. The path regulation threshold value includes the first regulation threshold value and the second regulation threshold value: When the link adaptive regulation value is less than or equal to the second regulation threshold value, the existing dual-mode communication channel priority, segmented packaging structure, and protocol conversion parameter configuration are maintained. The microframe response tracking mechanism is enabled synchronously: the packaging redundancy and confirmation response interval of each level of forwarding node are periodically sampled and recorded; When the link adaptive regulation value is greater than the second regulation threshold value and less than or equal to the first regulation threshold value, the main channel packaging structure is immediately adjusted. The data frame assembly order is reconstructed according to the field aggregation priority. The field-level skip list is inserted between multiple nodes by the compression regulator, simplifying the redundant field forwarding path, dynamically compressing the time tag precision, and reducing the occupancy strength of the response time sequence of the path intermediate layer. The link delay increment distribution and redundancy field jump frequency of the current period are recorded to construct the cross-node packaging compression behavior trajectory. When the link adaptation control value is greater than the first control threshold, the cloud platform channel is retained as a response distribution channel, the collection link is converted into a power grid local compensation path, the field level in the high-nested package structure is split and reorganized, the additional redundant fields are stripped and the synchronization marker bit is injected; at the same time, the high-frequency uplink rhythm is divided into two-level sub-rhythm structures, which are respectively adapted to the time delay sensitive segment and the content redundant segment, the link compression flow control record program is started, and all field forwarding layers and path structure jump nodes are archived.

10. A high efficiency photovoltaic inverter communication monitoring conversion system according to any one of claims 1-9, wherein, Comprise: A multi-level package structure analysis module, which collects link structure data and field characteristic data, and pre-processes the collected link structure data and field characteristic data to construct a standardized communication transmission data set; A communication path time delay tracking module, which analyzes the transmission delay of each level of communication node in the link based on the standardized communication transmission data set, and dynamically adjusts the data package structure and the main and backup channel forwarding strategy based on the analysis result; A transmission consistency verification and redundancy reorganization module, which evaluates the structure mismatch risk in the main channel and the redundant channel based on the standardized communication transmission data set, and dynamically triggers the path switching control and structure reorganization process based on the evaluation result; An end-to-end link cooperative control module, which takes the transmission delay analysis result and the mismatch risk evaluation result as input, comprehensively analyzes the current link transmission state, and dynamically adjusts the rhythm distribution structure based on the analysis result.

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