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CN-122028047-A - Real-time feedback verification method for 5G inspection data

CN122028047ACN 122028047 ACN122028047 ACN 122028047ACN-122028047-A

Abstract

The invention discloses a real-time return checking method of 5G inspection data, which relates to the technical field of inspection data transmission and comprises the steps of collecting original fragment signals in the return process of an inspection terminal, embedding continuous time marks and dynamic source marks in each fragment to construct a time sequence, rearranging and continuously comparing the fragment signals according to time sequences to generate a temporary return sequence consistent with an acquisition rhythm, extracting time interval mutation points and marking misplacement risk areas according to the temporary return sequence, performing time extension balance and buffer connection on mutation fragments in the risk areas to form a time sequence stable return sequence, and combining the stable sequence to perform full-period time integration and continuous mapping to obtain a complete data sequence. According to the invention, through full cycle time integration and continuous mapping, a complete time sequence corresponding to the actual inspection rhythm is formed, and the reliability and the application stability of the inspection result are improved.

Inventors

  • JI WEILIN
  • WANG LI
  • SHEN WANYAN
  • WANG YUHAN
  • DING JIANWEI

Assignees

  • 国能常州第二发电有限公司

Dates

Publication Date
20260512
Application Date
20260410

Claims (8)

  1. 1. The real-time feedback verification method for the 5G inspection data is characterized by comprising the following steps of: collecting original data slicing signals of the inspection terminal in the returning process, embedding continuous time identifiers and dynamic source identifiers in each slicing signal, and constructing a time sequence foundation; Based on the constructed time sequence base, carrying out time sequence rearrangement on the acquired segmented signals according to the front-back sequence of the embedded continuous time mark, and executing continuous comparison in the rearrangement process to generate a temporary return sequence consistent with the acquisition rhythm of the inspection data; Based on the generated temporary return sequence, performing time extension analysis on continuous fragments in the temporary return sequence, extracting time interval mutation points between adjacent fragments, and marking the mutation points as dislocation risk areas; Based on the marked dislocation risk area, performing time extension balance treatment on adjacent continuous segments around the time interval mutation points, and performing buffer connection according to the front and back acquisition rhythms to form a data return sequence with stable time sequence; Combining the formed data return sequences, executing full-cycle time integration processing on the whole inspection process, and continuously mapping the front and back return sequences subjected to time extension balancing to obtain a complete data sequence corresponding to the actual inspection rhythm; the step of performing a time-spread balancing process based on the misalignment risk area includes: performing time interval positioning and boundary extraction on the identified dislocation risk area; Performing time extension correction processing on adjacent abrupt change fragments in the dislocation risk area, inserting continuous time marks if the time difference is larger than the acquisition interval, and redistributing overlapped time marks if the time difference is smaller than the acquisition interval; Performing buffer connection processing on the extended and corrected fragments, determining a termination time mark of a front fragment and a start time mark of a rear fragment, and generating a transition time interval, wherein the time interval gradually changes according to the acquisition rhythm to form a continuous curve; And (3) performing time sequence integration on the corrected and joined sliced signals, rearranging and synchronously mapping source identifiers according to the time identifier sequence to form a data return sequence.
  2. 2. The method for checking real-time backhaul of 5G inspection data according to claim 1, wherein collecting the original data slicing signals of the inspection terminal in the backhaul process comprises the following steps: The method comprises the steps that when a data acquisition operation is executed by a patrol terminal, fragment acquisition is carried out on running data generated by a patrol target, a continuous time identifier is output through a local time control unit when fragments are generated, the continuous time identifier is embedded into a fragment signal data head, and meanwhile, a dynamic source identifier is generated according to running environment information and acquisition task information and is embedded into a fragment signal data tail, so that a fragment signal is provided with time information and source information; pushing the fragmented signals embedded with the continuous time identifier and the dynamic source identifier to a return channel according to the time identifier sequence, and recording the fragmented time identifier and the corresponding source identifier during transmission; And arranging all the fragment signals according to the continuity characteristics of the time marks, classifying fragments with the same source marks, and sequentially filling fragments with time intervals changed to form a double-layer time sequence taking time as a main axis and a source as an auxiliary axis.
  3. 3. The method for real-time backhaul verification of 5G inspection data of claim 1, wherein the step of time-sequential rearrangement based on time-series basis comprises: reading time marks of all the slicing signals, extracting the time marks of the data heads of the slicing signals, storing the time marks in a time index table according to the acquisition sequence, wherein the time index table is arranged by taking the time marks as a main sequence and the dynamic source marks as an auxiliary sequence; Rearranging the sliced signals according to the time identification sequence recorded in the time index table, establishing independent time sequence tracks for the sliced signals with the same source identification, continuously arranging the sliced signals according to the time identification, and inserting the sliced signals with different source identifications into corresponding positions according to the global sequence of the time identification when the sliced signals with different source identifications cross in time; performing continuous comparison on the repeated segmented signals, dividing continuous segments and marking segment demarcation points by comparing the time intervals of adjacent segmented signals with the time intervals corresponding to the patrol acquisition period; and integrating the fragments according to the continuous comparison result, sequentially splicing the fragments according to the time identification sequence, directly splicing the fragments with time intervals conforming to the acquisition rhythm, reserving interval information for the fragments with time intervals mutated, synchronously arranging source identification information, and generating a temporary return sequence conforming to the acquisition rhythm of the inspection data.
  4. 4. The method for real-time feedback verification of 5G inspection data according to claim 3, wherein in the time sequence rearrangement process, when the time interval of the adjacent fragment signals is inconsistent with the time interval corresponding to the inspection acquisition rhythm, the time interval mutation position is marked as a fragment demarcation point, and the time interval replenishment is performed according to the demarcation point position in the integration stage.
  5. 5. A method for real-time backhaul verification of 5G inspection data according to claim 3, wherein the step of performing a time extension analysis based on the temporary backhaul sequence comprises: Performing segment-by-segment expansion processing on continuous segments in the temporary return sequence, reading time marks in the data heads of the segmented signals, sequentially recording time interval values between adjacent segments, synchronously recording dynamic source marks, enabling time curves corresponding to different sources to be distributed independently on a time axis, and continuously connecting adjacent time marks to form a time extension curve; extracting the time connection relation between the continuous fragments, recording the time difference between the last fragment time mark of each continuous fragment and the first fragment time mark of the next fragment to form a time interval set covering the whole inspection period, and adding source identification information and fragment indexes into each interval item; Executing mutation feature recognition on the time interval set according to a time sequence, comparing the variation amplitude of the time interval between adjacent fragments, judging the position where a jump or a jump exists, marking the corresponding fragment boundary as a time interval mutation point, recording the mutation point position, the front-back time interval value, the fragment index and the source mark, and forming a time mutation mapping table; And (3) taking the time position of the mutation point as the center, defining a risk section covering the time range before and after the mutation point according to a fixed extension proportion, setting the starting time of the risk section as the time mark of the previous fragment of the mutation point, setting the ending time as the time mark of the next fragment of the mutation point, and allocating a number and a source mark for each risk section to form a dislocation risk distribution table.
  6. 6. The method for real-time feedback verification of 5G inspection data according to claim 5, wherein risk sections in the dislocation risk distribution table are sequentially arranged according to time sequence, risk sections corresponding to different source identifiers are independently displayed on a time axis, and the time range of each risk section covers time identification intervals of adjacent fragments before and after a mutation point.
  7. 7. The method for real-time feedback verification of 5G inspection data according to claim 1, wherein in the time extension correction process, the redistribution of the time markers is performed according to a fixed time interval of the acquisition rhythm, the connection of the front and rear segments is smoothly connected through a transition time interval, and the time interval of the transition time interval is gradually changed from the ending time interval of the front segment to the starting time interval of the rear segment.
  8. 8. The method for real-time backhaul verification of 5G inspection data as claimed in claim 1, wherein the step of performing full cycle time integration processing in combination with the stable data backhaul sequence comprises: Dividing time intervals and sequentially positioning the stable data return sequences, extracting a start time mark and a stop time mark from each stable data return sequence, summarizing start and stop times of all sequences, determining a start point and an end point of a full period, calculating time offset of each stable data return sequence in the full period range, determining the position of each stable data return sequence on a time axis, inserting a virtual time section when time gaps exist between adjacent stable data return sequences, and adjusting the start time position of the next stable data return sequence when time overlaps exist to form continuous full period time distribution; Performing continuous mapping on the front and rear stable data return sequences subjected to time extension balance processing, selecting the stable data return sequence with the earliest time mark as a time main sequence starting point, sequentially connecting the subsequent stable data return sequences according to the time mark increasing sequence, and aligning and distributing at the joint according to the time interval of the acquisition rhythm; And after the continuous mapping is finished, executing time integration summarization on the time main sequence, sequentially inserting the segmented signals in the returned sequences of all sources into corresponding time periods according to the sequence of the time main chain, keeping the segmented signals of the same source continuously arranged, staggering the segmented signals of different sources according to time marks, and correcting the time periods with overlapping or gaps through sequential adjustment or virtual time mark supplement to form a complete data sequence corresponding to the actual inspection rhythm.

Description

Real-time feedback verification method for 5G inspection data Technical Field The invention relates to the technical field of inspection data transmission, in particular to a real-time return checking method of 5G inspection data. Background The real-time feedback and verification of the inspection data refers to a process of synchronously transmitting operation data such as temperature, vibration, current, image, sound wave and the like acquired by an inspection terminal (such as an intelligent inspection instrument, a mobile terminal or an embedded sensing node) to a background or cloud platform at the moment of acquisition through a wireless communication link (such as 4G, 5G or industrial Wi-Fi) in the equipment inspection process, and verifying the integrity, the consistency and the authenticity of the uploaded data by a background system according to a time stamp, an equipment number and a geographic position. The core aim is to ensure that the inspection data is not lost, repeated, tampered or time misplaced in the whole process of acquisition, transmission and warehousing. The verification process generally comprises data format standard inspection, time sequence continuity comparison, acquisition equipment identification matching, abnormal value removal and difference comparison of original signals and historical references, so that real-time confirmation and traceability of the inspection result are realized, and the inspection conclusion is ensured to have instantaneity and credibility. The prior art has the following defects: In the process of returning the inspection data, the inspection terminal is a communication channel adapting to high-bandwidth dynamic change, and generally performs slice transmission on the collected data. When the network is in a high load state, part of the fragmented packets may arrive out of order due to link congestion or node switching, resulting in a cross-frame mismatch at the frame boundary by the dynamic reassembly algorithm. Such mismatches can cause the data of different time segments to be mis-spliced into a logically contiguous sequence, forming a data chain that is surface-complete but actually time-shifted. Because the system generally depends on frame sequence continuity as a data integrity judgment basis in a verification stage, the hidden dislocation is difficult to identify in time, and further, the follow-up state identification, trend analysis and abnormal judgment can be caused to generate deviation, and the accuracy and the reliability of the inspection result are finally affected. The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art. Disclosure of Invention The invention aims to provide a real-time feedback verification method for 5G inspection data, which aims to solve the problems in the background technology. In order to achieve the purpose, the invention provides a real-time feedback verification method of 5G inspection data, which comprises the following steps: Collecting original data slicing signals of a patrol terminal in a return process, embedding continuous time identifiers and dynamic source identifiers in each slicing signal to construct a complete time sequence base, and establishing uniform time references for sequencing of subsequent slicing signals; Based on the constructed time sequence base, carrying out time sequence rearrangement on the acquired segmented signals according to the front-back sequence of the embedded continuous time mark, and executing continuous comparison in the rearrangement process to generate a temporary return sequence consistent with the acquisition rhythm of the inspection data, wherein the temporary return sequence is used for providing continuous time sequence basis for the identification of the subsequent boundary segments; Step three, depending on the generated temporary feedback sequence, performing time extension analysis on continuous fragments in the temporary feedback sequence, extracting time interval mutation points between adjacent fragments, and marking the mutation points as dislocation risk areas so as to provide an accurate positioning basis in the subsequent splicing correction process; based on the marked dislocation risk area, performing time extension balance treatment on adjacent continuous fragments around the time interval mutation points, and performing buffer connection according to the front and back acquisition rhythms to restore natural time continuity among the fragments so as to form a time sequence stable data feedback sequence; And fifthly, combining the formed stable data return sequence, executing full-period time integration processing on the whole inspection process, and continuously mapping the front and back return sequences subjected to time extension