Task linkage control patrol track local storage synchronization system

Abstract

The present application relates to pipeline inspection data transmission technical field, disclose a kind of task linkage control's local storage synchronization system of patrol track, comprising: channel transmission retardation adaptive control module is used to calculate channel transmission retardation parameter and generate sparse control instruction containing discrete step value;Task logic segmentation and delimiting module injects service segmentation delimiter in original data stream to establish logical mapping boundary;Sparse sampling integrity check module responds to instruction and executes non-continuous feature extraction and hash comparison according to step value, the present application establishes the dynamic mapping mechanism of channel physical state and service logic boundary, effectively solves the integrity check problem of data synchronization under low bandwidth accumulation environment, while reducing communication signaling overhead, guarantee the space-time consistency and traceability of patrol track data.

Description

Technical Field

[0001] This invention belongs to the field of pipeline inspection data transmission technology, and in particular relates to a local storage and synchronization system for inspection trajectory in task linkage control. Background Technology

[0002] In current industrial applications such as underground utility tunnels, deep tunnels, and electromagnetically shielded areas, mobile operation terminals need to collect and reliably transmit high-frequency spatiotemporal trajectory data in non-steady-state environments with frequent communication link interruptions. Existing mainstream technical solutions are usually based on transmission control protocols or lightweight message transmission protocols, using a common data interaction method of offline caching and online synchronization. Under this architecture, the terminal writes the collected data stream into local non-volatile memory in time sequence in communication dead zones. When the physical link is restored, the transport layer protocol initiates a session handshake, and the receiving end sends an acknowledgment message containing missing data sequence information based on the receive window state. The terminal then performs linear retransmission for a specific sequence number to achieve end-to-end data consistency.

[0003] However, such mechanisms focus on logical layer connectivity, ignoring the dynamic changes in physical channel carrying capacity. Chinese invention patent CN116896551A discloses an online / offline adaptive data synchronization system and method for coal mines, which utilizes a network monitoring thread and a heartbeat thread deployed on the mobile terminal to achieve binary detection of network connectivity. Upon network recovery, it calls an API interface via HTTP to write all data to be submitted from the local database to the server. While this solves the data persistence problem in scenarios of complete network outage, it suffers from a coarse-grained channel quality perception defect in the synchronization triggering mechanism. It only drives data transmission based on the on / off state transition, lacking the channel bandwidth product (B). DP and Round-Trip Latency Jitter Quantitative Evaluation; When the above-mentioned general transmission mechanism is applied to extreme weak network conditions with extremely low channel bandwidth and severe round-trip latency jitter, its design logic based on prioritizing metadata integrity is incompatible with the transient carrying capacity of the physical channel. In long-term disconnection scenarios, mobile terminals often accumulate massive amounts of historical trajectory data locally, leading to a sharp increase in the size of metadata used to characterize the missing data states. The bitmap message describing the integrity of tens of thousands of offline records will occupy byte space. In the vulnerable window of the initial channel recovery, this rigid full metadata alignment mechanism causes a deep-seated transmission bottleneck:

[0004] Therefore, the technical problem to be solved by this invention is how to establish a transmission control mechanism that can sense the physical characteristics of the channel and adaptively adjust the synchronization granularity, so as to solve the metadata congestion problem under low-bandwidth product channels while ensuring the stability of reading and writing of storage media. Summary of the Invention

[0005] This invention provides a local storage and synchronization system for patrol trajectories in task-linked control, comprising:

[0006] The channel transmission hindrance adaptive control module is used to send a set of idle probe frames of a preset byte length and receive feedback signals during the connection establishment phase to calculate the channel transmission hindrance parameters that characterize the current physical transmission capability of the channel, and convert the channel transmission hindrance parameters into nonlinear discrete step values ​​according to preset mapping rules, thereby generating sparse control commands containing discrete step values.

[0007] The task logic segmentation and delimitation module is used to monitor the patrol task status of the mobile terminal in real time, and when the patrol task status changes, it forcibly injects a business segment delimiter into the raw data stream of the local storage queue. The business segment delimiter contains a task identifier and a logical count within the segment, dividing the continuous physical storage space into multiple logically independent task fragments.

[0008] The sparse sampling integrity verification module is used to respond to sparse control commands. Based on the discrete step value, it performs non-continuous feature extraction on the data in the local storage queue that is located within the task segment defined by the business segment delimiter. It selects only data frames in the local storage queue whose index value is an integer multiple of the discrete step value as key frames, calculates the hash verification value of the key frames and encapsulates it into a comparison message and uploads it to the server. It only initiates a full data backtracking request for the discrete interval where the key frames with inconsistent hash verification values ​​are located, so as to realize trajectory synchronization.

[0009] Preferably, the channel transmission hindrance adaptive control module is specifically used to perform the following operations: obtain the acknowledgment signal fed back by the receiver by sending a set of idle probe frames; calculate the real-time round-trip delay and its variance based on the acknowledgment signal; define the weighted sum of the real-time round-trip delay and the variance as the channel transmission hindrance parameter; when the channel transmission hindrance parameter continuously exceeds the preset stable threshold, trigger the mapping rule to output an increased discrete step value, thereby reducing the feature extraction density of the sparse sampling integrity verification module per unit time.

[0010] Preferably, in the mapping rule, the distance from the walk-in value The following operational relationship exists between the parameter and the channel transmission hindrance parameter: ,in, The real-time round-trip delay is measured by the channel transmission hindrance adaptive control module. λ represents the variance; λ is the preset jitter sensitivity coefficient. The preset reference time slice length for the system; This indicates the rounding up operation; The sampling interval span of the sparse sampling integrity verification module when generating feature data is defined.

[0011] Preferably, the task logic segmentation and delimitation module is also used to perform spatiotemporal dispersion monitoring; spatiotemporal dispersion monitoring includes calculating the product of the spatial displacement change rate between adjacent trajectory data frames and the timestamp interval; when the product is lower than the preset silent threshold, the task logic segmentation and delimitation module automatically presets the silent state business segment delimiter in the local storage queue and uses physical characteristics to define the topological boundary of the business logic.

[0012] Preferably, the business segmentation delimiter constructs a dual-index structure in the local storage queue; the dual-index structure includes a global task index for distinguishing different inspection task cycles and a local frame index for marking data sequences within the same task cycle; the task logic segmentation and delimitation module uses the dual-index structure to divide the local storage queue into task fragments, and the sparse sampling integrity verification module independently performs synchronization operations for specific task fragments.

[0013] Preferably, the channel transmission hindrance adaptive control module has a built-in step size mapping unit; the step size mapping unit stores multiple preset correspondence tables between hindrance intervals and step size values; when the channel transmission hindrance parameters change and cross different hindrance intervals, the step size mapping unit outputs the updated discrete step feed value; the sparse control command only contains the updated discrete step feed value and does not contain the complete data request list.

[0014] Preferably, after receiving the comparison message, the server retrieves the corresponding historical task record in the server's database based on the task identifier in the comparison message; if the corresponding historical task record is not found, the server sends a full upload instruction for all data under the task identifier to the mobile terminal; if the corresponding historical task record is found, the server only compares the hash check value of the key frame.

[0015] Preferably, the system is applied to low-bandwidth integrated network environments in underground utility tunnels or electromagnetic shielding areas; when the task logic segmentation and delimitation module detects a network connection failure, it marks the current inspection task status as suspended, and at the moment the network connection is restored, it prioritizes locating and retransmitting the task segment data in the suspended state and its subsequent segments based on the service segment delimiter, rather than retransmitting the entire data according to the timestamp order.

[0016] Preferably, the system also includes a transmission congestion self-healing module; the transmission congestion self-healing module is used to temporarily block the synchronization action of the sparse sampling integrity verification module and start the local secondary buffer mechanism when the channel transmission congestion parameter indicates that the channel is completely congested; after the channel transmission congestion parameter recovers to the communicable range, the transmission congestion self-healing module performs variable-length block processing on the data in the secondary buffer according to the latest discrete step value and then synchronizes.

[0017] Preferably, each module in the system is configured to run on a hardware terminal containing a memory and a processor; the memory is used to store local storage queues and service segment delimiters; the processor is used to perform the calculation of channel transmission obstruction parameters, the injection of service segment delimiters, and the application of discrete step values; the system ensures the logical integrity of service layer data under the condition of physical layer transmission constraints through the synergistic effect of task identifiers and discrete step values.

[0018] Compared with existing technologies, the patrol trajectory local storage and synchronization system for task linkage control of the present invention has the following advantages:

[0019] 1. In the local storage of patrol trajectory, this invention overcomes the metadata congestion bottleneck under low-bandwidth product channels and ensures transmission resilience under extreme conditions. By constructing an adaptive inverse mapping mechanism between channel impedance parameters and synchronization handshake granularity, this invention changes the rigid constraint in traditional transmission protocols where control message overhead is positively correlated with the amount of data to be transmitted. Specifically, the system uses the round-trip delay and second-order jitter value fed back by the probe frame to calculate the current logical step value K, and performs sparse hash verification based on Hseq accordingly. In physical environments with extremely low channel bandwidth, such as underground pipe corridors or areas with strong electromagnetic interference, the interaction granularity of the protocol is automatically reduced as the channel quality deteriorates. By transmitting only a very small number of discrete key frame summaries to replace the huge full bitmap, the transmission handshake deadlock caused by excessive metadata blocking the control channel is eliminated, ensuring that the system maintains logical connectivity and backbone synchronization capability for massive historical data at the unavailable boundary of the communication link.

[0020] 2. To achieve physical-level defense against read / write stress on terminal storage media and avoid the risk of system concurrent crashes, this invention utilizes a non-continuous sampling strategy based on logical sequence number modulo to establish an active adjustment closed loop for storage controller I / O load during the data retransmission phase. In the early stages of network outage recovery, mobile terminals typically face dual bus competition from high-frequency real-time acquisition and writing and large-volume historical data reading. By extracting only discrete frames that meet the stepping conditions, the random read frequency for local flash memory is physically reduced by a factor of K. This mechanism effectively offsets the occupation of embedded processor interrupt resources by instantaneous high-concurrency operations, preventing protocol stack crashes or data stream recording interruptions caused by underlying storage I / O suspension, thereby achieving a dynamic balance between transmission throughput and system stability within the limited hardware resource boundaries.

[0021] 3. Construct a logical self-healing mechanism based on spatiotemporal entropy change characteristics to eliminate semantic gaps under abnormal interruptions. This invention achieves automatic task state inversion in scenarios where explicit instructions are missing by monitoring the correlation between the spatial displacement vector and time step of the trajectory data stream itself. For extreme cases where the task end instruction fails to be successfully written to the local index due to battery depletion or hardware failure of the patrol device, the system automatically pre-sets a silent logical truncation anchor point in the local storage queue based on the spatiotemporal entropy value change between adjacent data frames. This enables the data stream to restore the topological boundary of the business logic based solely on its own physical characteristics without relying on the continuity of external control signaling. This fundamentally solves the problem of ambiguous patrol trajectory attribution caused by abnormal shutdown and ensures the spatiotemporal consistency and completeness of the evidence chain when multi-source heterogeneous data is reassembled in the backend. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the overall structure and module interaction principle of the present invention;

[0023] Figure 2 This is a data flow path and processing logic diagram in the system of this invention. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0025] It should be noted that all directional and positional terms used in this invention, such as: up, down, left, right, front, back, vertical, horizontal, inner, outer, top, bottom, transverse, longitudinal, center, etc., are only used to explain the relative positional relationship and connection between components in a specific state (as shown in the accompanying drawings). They are only for the convenience of describing this invention and do not require that this invention be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention. In addition, the descriptions of "first," "second," etc., in this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated.

[0026] In the description of this invention, unless otherwise explicitly specified and limited, the terms installation, connection, and linking should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections; they can refer to direct connections or indirect connections through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0027] In the description of this specification, references to the terms "an embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0028] A patrol trajectory local storage and synchronization system for task-linked control includes:

[0029] The channel transmission hindrance adaptive control module is used to send a set of idle probe frames of a preset byte length and receive feedback signals during the connection establishment phase to calculate the channel transmission hindrance parameters that characterize the current physical transmission capability of the channel, and convert the channel transmission hindrance parameters into nonlinear discrete step values ​​according to preset mapping rules, thereby generating sparse control commands containing discrete step values.

[0030] The task logic segmentation and delimitation module is used to monitor the patrol task status of the mobile terminal in real time, and when the patrol task status changes, it forcibly injects a business segment delimiter into the raw data stream of the local storage queue. The business segment delimiter contains a task identifier and a logical count within the segment, dividing the continuous physical storage space into multiple logically independent task fragments.

[0031] The sparse sampling integrity verification module is used to respond to sparse control commands. Based on the discrete step value, it performs non-continuous feature extraction on the data in the local storage queue that is located within the task segment defined by the business segment delimiter. It selects only data frames in the local storage queue whose index value is an integer multiple of the discrete step value as key frames, calculates the hash verification value of the key frames and encapsulates it into a comparison message and uploads it to the server. It only initiates a full data backtracking request for the discrete interval where the key frames with inconsistent hash verification values ​​are located, so as to realize trajectory synchronization.

[0032] Preferably, the channel transmission hindrance adaptive control module is specifically used to perform the following operations: obtain the acknowledgment signal fed back by the receiver by sending a set of idle probe frames; calculate the real-time round-trip delay and its variance based on the acknowledgment signal; define the weighted sum of the real-time round-trip delay and the variance as the channel transmission hindrance parameter; when the channel transmission hindrance parameter continuously exceeds the preset stable threshold, trigger the mapping rule to output an increased discrete step value, thereby reducing the feature extraction density of the sparse sampling integrity verification module per unit time.

[0033] Preferably, in the mapping rule, the distance from the walk-in value The following operational relationship exists between the parameter and the channel transmission hindrance parameter: ,in, The real-time round-trip delay is measured by the channel transmission hindrance adaptive control module. λ represents the variance; λ is the preset jitter sensitivity coefficient. The preset reference time slice length for the system; This indicates the rounding up operation; The sampling interval span of the sparse sampling integrity verification module when generating feature data is defined.

[0034] Preferably, the task logic segmentation and delimitation module is also used to perform spatiotemporal dispersion monitoring; spatiotemporal dispersion monitoring includes calculating the product of the spatial displacement change rate between adjacent trajectory data frames and the timestamp interval; when the product is lower than the preset silent threshold, the task logic segmentation and delimitation module automatically presets the silent state business segment delimiter in the local storage queue and uses physical characteristics to define the topological boundary of the business logic.

[0035] Preferably, the business segmentation delimiter constructs a dual-index structure in the local storage queue; the dual-index structure includes a global task index for distinguishing different inspection task cycles and a local frame index for marking data sequences within the same task cycle; the task logic segmentation and delimitation module uses the dual-index structure to divide the local storage queue into task fragments, and the sparse sampling integrity verification module independently performs synchronization operations for specific task fragments.

[0036] Preferably, the channel transmission hindrance adaptive control module has a built-in step size mapping unit; the step size mapping unit stores multiple preset correspondence tables between hindrance intervals and step size values; when the channel transmission hindrance parameters change and cross different hindrance intervals, the step size mapping unit outputs the updated discrete step feed value; the sparse control command only contains the updated discrete step feed value and does not contain the complete data request list.

[0037] Preferably, after receiving the comparison message, the server retrieves the corresponding historical task record in the server's database based on the task identifier in the comparison message; if the corresponding historical task record is not found, the server sends a full upload instruction for all data under the task identifier to the mobile terminal; if the corresponding historical task record is found, the server only compares the hash check value of the key frame.

[0038] Preferably, the system is applied to low-bandwidth integrated network environments in underground utility tunnels or electromagnetic shielding areas; when the task logic segmentation and delimitation module detects a network connection failure, it marks the current inspection task status as suspended, and at the moment the network connection is restored, it prioritizes locating and retransmitting the task segment data in the suspended state and its subsequent segments based on the service segment delimiter, rather than retransmitting the entire data according to the timestamp order.

[0039] Preferably, the system also includes a transmission congestion self-healing module; the transmission congestion self-healing module is used to temporarily block the synchronization action of the sparse sampling integrity verification module and start the local secondary buffer mechanism when the channel transmission congestion parameter indicates that the channel is completely congested; after the channel transmission congestion parameter recovers to the communicable range, the transmission congestion self-healing module performs variable-length block processing on the data in the secondary buffer according to the latest discrete step value and then synchronizes.

[0040] Preferably, each module in the system is configured to run on a hardware terminal containing a memory and a processor; the memory is used to store local storage queues and service segment delimiters; the processor is used to perform the calculation of channel transmission obstruction parameters, the injection of service segment delimiters, and the application of discrete step values; the system ensures the logical integrity of service layer data under the condition of physical layer transmission constraints through the synergistic effect of task identifiers and discrete step values.

[0041] Example 1: In a low-bandwidth network communication scenario for inspecting underground utility tunnel equipment, the mobile inspection terminal is in a high-frequency mobile state. The communication link faces the physical condition of rapid signal attenuation from the strong 4G coverage area to the deep underground shielded area. When the system is in the signal edge zone, the channel exhibits high bit error rate and long latency characteristics. At this time, the channel transmission hindrance adaptive control module starts a closed-loop detection program, sends a set of idle detection frames with a fixed length of 64 bytes at the link layer, and records the time difference from the transmission of each detection frame to the receipt of the server confirmation signal. The system calculates the real-time round-trip latency by continuously collecting detection data for 10 cycles. and its variance When detected The average value surged from 50ms under normal conditions to over 2000ms, and When a jitter amplitude exceeding 30% is displayed, the system determines that the current channel is in a high-impedance state. Based on the preset mapping rules, this module calls the discrete step calculation formula: ,in, For the calculated nonlinear discrete step feed value; To account for real-time round-trip latency, Here, λ represents the time delay variance, and λ is the preset jitter sensitivity coefficient. The system's preset reference time slice length, This indicates a floor operation, based on the aforementioned real-time measurement data, where an increase in physical channel impedance leads to a calculated floor. When the value increases to, for example, 128, the system generates a sparse control instruction containing the discrete step value and sends it to the data processing layer. The task logic segmentation and delimitation module runs in the local storage queue of the mobile terminal. When the inspector performs a task status switch, such as switching from normal inspection to fault entry, the module intercepts the write stream and forcibly injects a business segmentation delimiter containing the current task identifier and the logical count within the segment into the original trajectory data. As a logical anchor point, it logically cuts the binary data stream continuously written to the physical flash memory into independent task fragments.

[0042] In response to the aforementioned sparse control command, the sparse sampling integrity verification module performs a channel-adaptive discontinuous feature extraction operation. This module locks a specific task segment in the local storage queue, defined by the service segmentation delimiter, and extracts only the logical sequence number that can be... Using divisible data frames as keyframes, this mechanism transforms the terminal's read operations on local storage media in extremely weak network environments from continuous high-frequency I / O to low-frequency, skip-type I / O, reducing the load on the storage controller. The sparse sampling integrity verification module calculates the hash check values ​​of these discrete keyframes, such as digests generated using the Cyclic Redundancy Check (CRC32) algorithm, encapsulates them into comparison messages, and uploads them to the server. After receiving the message, the server extracts the hash values ​​of the corresponding keyframes from the historical mirrors in the cloud database according to the same step-by-step logic and compares them. When a hash value mismatch is found for a certain keyframe, the server determines that there is data inconsistency in the discrete interval covered by the keyframe and initiates a full data backtracking request for that specific interval. Through the above mechanism, the system maps the physical layer channel impedance parameters to the application layer synchronization granularity, automatically reducing the handshake frequency and metadata overhead when network quality deteriorates, and automatically improving synchronization accuracy when the network recovers, maintaining the spatiotemporal consistency of core business data.

[0043] Example 2: In a digital information transmission verification environment simulating the deep area of ​​an underground integrated utility tunnel, a hardware-in-the-loop test platform consisting of a high-precision network channel impairment instrument, an industrial-grade mobile data acquisition terminal, and a data synchronization core server was built to verify the transmission stability and data integrity of the present invention under low-bandwidth product (Low-BDP) and high channel impedance conditions. To construct realistic engineering test conditions, Gaussian white noise with a signal-to-noise ratio of 15dB was actively superimposed on the test signal source, and power frequency electromagnetic interference of 50Hz was introduced to simulate the complex electromagnetic background in the utility tunnel environment. The original input data selected for the test was a standardized inspection trajectory data stream containing 10,000 discrete coordinate points and a sampling frequency of 10Hz. To confirm the non-obviousness of the present technical solution, the test set up a sample group of the present invention and a control sample group. The sample group of the present invention was fully configured with the channel transmission impedance adaptive control module and the task logic segmentation and delimitation module; the control sample group removed the adaptive control logic and fixed the discrete step value to 1, that is, performed full data verification.

[0044] After the experiment was started, the channel impairment tester was set to dynamic evolution mode to simulate the process of the communication link moving from the base station's line-of-sight transmission area to the deep obstruction area. In the initial stage, the channel round-trip time was... Maintaining a low impedance range of 40ms to 60ms, the synchronization confirmation delay between the prototype sample and the control sample remains within 200ms, ensuring smooth data transmission. The experiment then enters the core verification phase, where the channel impairment meter will... The latency was forcibly increased to 2000ms, and a delay jitter with a mean square error of 5.6ms² was introduced to simulate a typical network congestion buffer state. Under this high-impedance condition, the communication link of the control group quickly reached saturation. Due to the accumulation of full check messages, the acknowledgment frame loss rate climbed to over 45%, ultimately triggering a timeout retransmission deadlock at the transport layer, and data synchronization was completely interrupted. At the same time, the channel transmission impedance adaptive control module of the present invention captured the changes in the physical channel state in real time. The monitoring data showed that the real-time round-trip delay... Stable at 2000ms, latency variance The measured value is 5.6ms². Based on the preset mapping logic, the internal processing unit of the module performs the following calculations: The system generates a sparse control command containing a discrete step value of 128. Driven by this command, the sparse sampling integrity verification module switches the granularity of hash feature extraction from full frame-by-frame to extracting one key feature frame every 128 frames. This operation instantly reduces the signaling load of the uplink control channel to 0.78% of the baseline value. Thanks to the service segmentation delimiters pre-injected by the task logic segmentation and delimitation module, even with such a sparse sampling density, the server can still accurately locate the task boundary through logical anchor points, without any logical attribution confusion caused by physical fragmentation errors. The final test results show that under the extreme condition of a 50-fold increase in channel impedance, the sample group of this invention not only maintained the connection but also completed the consistency comparison of the core key frames within 45 seconds, with a success rate of 100%, while the control sample group failed to complete synchronization after a 300-second timeout. Further boundary stress tests show that when When the range is further increased to exceed 5000ms, the calculated values ​​are... When the number exceeds 300, although the signaling overhead is further reduced, the coverage of short task segments decreases due to the excessively large keyframe interval, and there is a risk of missing detection for some small task segments with a length of less than 30 seconds.

[0045] Example 3: In the scenario of monitoring long-span unattended underground utility tunnels, in order to resolve the inherent contradiction between synchronization efficiency and data integrity under low-bandwidth product channels, this example provides an in-depth explanation of the calibration procedure for the core parameters in the channel transmission hindrance adaptive control module. For the jitter sensitivity coefficient, a key control variable, a closed calibration process based on the channel's historical profile is executed before actual engineering deployment, collecting the round-trip delay of the target channel over a continuous 24-hour period. and their corresponding variance values A channel impedance characteristic baseline was constructed, and the baseline data was replayed using an offline simulator. The initial jitter sensitivity coefficient λ was set to 0.01, and increased to 0.20 in increments of 0.01. In each simulation round, the system recorded the proportion of payload throughput and control signaling overhead caused by parameter changes. When λ was less than 0.04, the system was slow to respond to occasional jitter, leading to an increase in the retransmission rate; while when λ was greater than 0.08, the step value... Frequent and drastic fluctuations can trigger unnecessary control signaling storms. Based on this nonlinear response curve, the system locks the center value of the optimal operating range, 0.05, as the default jitter sensitivity coefficient. This achieves an optimal engineering balance between suppressing jitter and maintaining sensitivity. For the channel transmission hindrance parameter calculation model, dimensional balance and parameter calibration are performed. During the system initialization phase, a closed-loop configuration procedure based on the target electromagnetic environment characteristics is executed, defining the jitter sensitivity coefficient λ as a function with the inverse of the time delay variance. The normalization balance factor for dimensional properties is determined by replaying 24-hour channel impedance baseline data collected from field monitoring nodes using an offline simulator, and scanning in 0.01 increments until the weighted function of control signaling overhead ratio and load throughput reaches its extreme point; the reference time slice length is also specified. As a normalization constant for the discretized sampling time, the parameter is dynamically calibrated based on the 95th percentile of the measured channel round-trip delay probability distribution function. This ensures that the calculated step value converges to a unit value of 1 under low-impedance stable channels, thus eliminating delay variance from a mathematical and physical perspective. The dimensional singularity caused by the direct superposition of dimensionless constant terms ensures the carry-over from the step-by-step calculation. It only reflects the nonlinear ratio of the channel's physical transmission capacity to the reference time window.

[0046] This embodiment further discloses its internal fingerprint alignment logic, which, when receiving a fingerprint containing a discrete step value... Following the sparse control instructions, the terminal does not simply execute them every... Instead of extracting frames, the system performs a logical frame number alignment operation. It reads the intra-segment logical count contained in the service segment delimiter from the local storage queue and forcibly anchors the first extracted keyframe to the segment with the logical count of [value missing]. Positions that are multiples of an integer, when When the value is 128, the logical count of the first keyframe will necessarily be 128, 256, etc., rather than a random offset based on the physical storage address. This logical alignment mechanism ensures that even if the fragmentation levels of physical storage on the terminal and server are completely different, the hash fingerprint sequences generated by both parties based on the logical count still maintain strict mathematical correspondence, eliminating the risk of misjudgment due to physical address offset. For logical anchoring and embedded hardware resource scheduling in the sparse sampling process, the sparse sampling integrity verification module runs between the microcontroller's direct memory access controller and the non-volatile storage medium interface. The module ignores the fragmented address offset of the data physical sector and adopts an alignment mechanism based on the modulo operation of the logical count within the segment within the business segment delimiter, selecting the logical count within the segment that can be discretely incremented. Data frames divisible by integers are used as keyframes for hash feature extraction. The server, based on the received sparse control command step value, uses the same modulo operation logic to locate the corresponding keyframe in the database history, maintaining the mathematical uniqueness of the hash fingerprint sequence. A non-continuous sampling mechanism physically reduces the frequency of local flash memory read / write interruptions per unit time, controlling the probability of bus arbitration conflicts caused by high-frequency real-time data writing and large-scale historical data backtracking during network recovery to below a preset safety threshold. Furthermore, this embodiment supplements deterministic triggering criteria for the generation and injection of business segment delimiters in the task logic segmentation and delimitation modules. The system monitors the task status register of the mobile terminal in real time. When the register value jumps from 0x01 (in inspection) to 0x02 (fault record), the interrupt service routine is triggered. This routine suspends the current trajectory data write operation and writes a 16-byte delimiter structure to the buffer. This structure contains a 4-byte task ID, a 4-byte timestamp, a 4-byte initial value of the intra-segment counter, and a 4-byte magic number. This atomic operation ensures that the delimiter and the preceding and following trajectory data are physically adjacent and inseparable, providing a physical boundary identifier for subsequent logical fragmentation. This fundamentally guarantees that the logical structure of the business data can still be completely reconstructed after any abnormal power outage or reset.

[0047] Example 4: To address the adaptive control deviation caused by baseline drift of channel impedance characteristics under different physical environments, this example constructs a standardized pre-deployment calibration procedure for the impedance-step size mapping relationship in the adaptive control module for channel transmission hindrance. Before the system is officially put into operation, a 24-hour baseline data acquisition and model calibration is performed. This procedure deploys no fewer than three fixed monitoring nodes in the target environment, with nodes continuously sending 64-byte idle probe frames to each other. The sampling frequency is set to 1Hz, and the system collects the round-trip delay of all nodes over 24 hours. and jitter value A statistical distribution model of channel impedance under this specific environment is constructed, and the reference time slice length in the preset discrete stepping calculation formula is calculated using the collected data. Make minor adjustments if the statistical data shows a 95% confidence interval. If the average value exceeds the preset 50ms baseline value, it will be adjusted upwards proportionally. In order to maintain The initial value of 1 under low impedance conditions ensures that the system can respond to channel changes with optimal sensitivity under different electromagnetic environments and network topologies, avoiding over-adjustment or under-adjustment caused by environmental differences.

[0048] To address the data integrity risks that may arise from storage media aging or abnormal power outages during long-term operation, this embodiment describes the self-healing and reconstruction mechanism of the task logic segmentation and delimitation module. The system has a built-in periodic metadata scanning process that performs consistency checks on the business segment delimiters in the local storage queue at fixed time intervals, such as every hour. This process reads the magic number and checksum of each delimiter. If a magic number mismatch or checksum error is found, the delimiter is determined to be corrupted. At this time, the system starts a reverse search algorithm, starting from the previous valid delimiter, and recalculates and generates a new delimiter based on the continuity of the timestamp and the rationality of the spatial displacement of the trajectory data, covering the corrupted area. At the same time, the system records this repair event in the log and actively sends a synchronization request containing the new delimiter information to the server to ensure the eventual consistency between the server index and the terminal local storage structure.

[0049] Example 5: To ensure the system's generalization capability across different frequency bands and modulation schemes, this example establishes an offline optimization procedure based on Shannon limit approximation for the core detection signal parameters in the channel coherence detection step, namely the byte length of the idle detection frame and the detection period. A composite channel simulation model incorporating Rayleigh fading, Ricean fading, and log-normal shadowing fading is constructed. The channel bandwidth is set to B, and the signal-to-noise ratio is SNR. In the simulation environment, the idle detection frame length is increased in steps of 1 byte. The detection period is increased in increments of 1ms. The system calculates in real time in different The effective channel capacity utilization η and the probe overhead ratio ρ under the combination are determined by traversal search to find the parameter combination that maximizes the objective function F = η - ω ⋅ ρ, and a delay mapping compensation table for different packet lengths is established. Since there is a nonlinear transmission delay difference between a 64-byte idle probe frame and an actual 4096-byte service data frame in a low-bandwidth environment, a set of load expansion coefficients is preset during the factory calibration phase. This is determined by the delay ratio measured by sending 64-byte probe frames and 4096-byte physical frames under a controlled channel. In actual operation, after calculating the basic real-time round-trip delay, the channel transmission hindrance adaptive control module further multiplies by the corresponding load expansion coefficient (typically between 1.2 and 3.5, depending on the current signal modulation and coding strategy) to restore the physical hindrance situation during actual service data transmission. Here, ω is a preset overhead penalty factor. Data shows that when... Set to 64 bytes and Set as channel coherence time When the signaling overhead is within 10%, the system can keep the detection accuracy and signaling overhead close to the theoretical lower limit. The system has a set of optimal detection parameter tables for different typical frequency bands (such as 400MHz and 1.8GHz) pre-set in the factory firmware. When the terminal enters the network, it automatically loads the corresponding initial configuration according to the current working frequency band, realizing the adaptive initialization of physical layer parameters.

[0050] To address the ambiguity in setting the silence threshold in the task logic segmentation and delimitation module, this embodiment supplements the statistical calibration process based on historical trajectory big data. The system collects no less than 1000 historical trajectory data of real patrol tasks, extracts all time segments manually marked as task suspension or silence, and calculates the duration of each segment. The root mean square displacement (RMSD) of the location coordinates during that time period was plotted through statistical analysis of a large number of samples. Scatter plots are generated, and the K-Means clustering algorithm is used to identify the decision boundary between silent and non-silent states. The corresponding mathematical expression is the decision function of the silence threshold. When the RMSD of N consecutive sampling points is less than 3 times the standard deviation of the distance between cluster centers, the system determines that it is currently in a silent state. This data-driven threshold setting method abandons the traditional subjective experience assignment and ensures that the injection logic of the business segmentation delimiter has a statistical confidence of more than 99%, thereby fundamentally solving the problem of logic fragmentation or omission caused by improper threshold setting.

[0051] The embodiments of this application have been described above with reference to the accompanying drawings. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. This application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit of this application and the scope of protection of this invention, and all of these forms are within the protection scope of this application.

Claims

1. A local storage and synchronization system for patrol trajectories in task-linked control, characterized in that, include: The channel transmission hindrance adaptive control module is used to send a set of idle probe frames of a preset byte length and receive feedback signals during the connection establishment phase to calculate the channel transmission hindrance parameters that characterize the current physical transmission capability of the channel, and convert the channel transmission hindrance parameters into nonlinear discrete step values ​​according to preset mapping rules, thereby generating sparse control commands containing discrete step values. The task logic segmentation and delimitation module is used to monitor the patrol task status of the mobile terminal in real time, and when the patrol task status changes, it forcibly injects a business segment delimiter into the raw data stream of the local storage queue. The business segment delimiter contains a task identifier and a logical count within the segment, dividing the continuous physical storage space into multiple logically independent task fragments. The sparse sampling integrity verification module is used to respond to sparse control commands. Based on the discrete step value, it performs non-continuous feature extraction on the data in the local storage queue that is located within the task segment defined by the business segment delimiter. It selects only data frames in the local storage queue whose index value is an integer multiple of the discrete step value as key frames, calculates the hash verification value of the key frames and encapsulates it into a comparison message and uploads it to the server. It only initiates a full data backtracking request for the discrete interval where the key frames with inconsistent hash verification values ​​are located, so as to realize trajectory synchronization.

2. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, The channel transmission hindrance adaptive control module is specifically used to perform the following operations: obtain the acknowledgment signal fed back by the receiver by sending a set of idle probe frames; calculate the real-time round-trip delay and its variance based on the acknowledgment signal; define the weighted sum of the real-time round-trip delay and variance as the channel transmission hindrance parameter; when the channel transmission hindrance parameter continuously exceeds the preset stable threshold, trigger the mapping rule to output an increased discrete step value, thereby reducing the feature extraction density of the sparse sampling integrity verification module per unit time.

3. The patrol trajectory local storage and synchronization system for task linkage control according to claim 2, characterized in that, In the mapping rule, the carry-off value from the walk The following operational relationship exists between the parameter and the channel transmission hindrance parameter: ,in, The real-time round-trip delay is measured by the channel transmission hindrance adaptive control module. λ represents the variance; λ is the preset jitter sensitivity coefficient. The preset reference time slice length for the system; This indicates the rounding up operation; The sampling interval span of the sparse sampling integrity verification module when generating feature data is defined.

4. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, The task logic segmentation and delimitation module is also used to perform spatiotemporal dispersion monitoring; spatiotemporal dispersion monitoring includes calculating the product of the spatial displacement change rate between adjacent trajectory data frames and the timestamp interval; when the product is lower than the preset silent threshold, the task logic segmentation and delimitation module automatically presets the silent state business segmentation delimiter in the local storage queue and uses physical characteristics to define the topological boundary of the business logic.

5. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, The business segmentation delimiter constructs a dual-index structure in the local storage queue. The dual-index structure includes a global task index for distinguishing different inspection task cycles and a local frame index for marking data sequences within the same task cycle. The task logic segmentation and delimitation module uses the dual-index structure to divide the local storage queue into task fragments, and the sparse sampling integrity verification module independently performs synchronization operations for specific task fragments.

6. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, The channel transmission hindrance adaptive control module has a built-in step size mapping unit; the step size mapping unit stores multiple preset correspondence tables between hindrance intervals and step size values; when the channel transmission hindrance parameters change and cross different hindrance intervals, the step size mapping unit outputs the updated discrete step feed value; the sparse control command only contains the updated discrete step feed value and does not contain the complete data request list.

7. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, After receiving the comparison message, the server retrieves the corresponding historical task record in its database based on the task identifier in the comparison message. If no corresponding historical task record is found, the server sends a full upload command for all data under that task identifier to the mobile terminal. If a corresponding historical task record is found, the server only compares the hash check value of the key frame.

8. The patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, This system is applied to low-bandwidth integrated network environments such as underground utility tunnels or electromagnetic shielding areas. When the task logic segmentation and delimitation module detects a network connection failure, it marks the current inspection task status as suspended. At the moment the network connection is restored, it prioritizes locating and retransmitting the task segment data in the suspended state and its subsequent segments based on the service segment delimiter, rather than retransmitting the entire data according to the timestamp order.

9. A patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, The system also includes a transmission congestion self-healing module; the transmission congestion self-healing module is used to temporarily block the synchronization action of the sparse sampling integrity verification module and start the local secondary buffer mechanism when the channel transmission congestion parameter indicates that the channel is completely congested; after the channel transmission congestion parameter recovers to the communicable range, the transmission congestion self-healing module performs variable-length block processing on the data in the secondary buffer according to the latest discrete step value and then synchronizes.

10. A patrol trajectory local storage and synchronization system for task linkage control according to claim 1, characterized in that, Each module in the system is configured to run on a hardware terminal containing memory and a processor; the memory is used to store local storage queues and service segment delimiters; the processor is used to perform the calculation of channel transmission blocking parameters, the injection of service segment delimiters, and the application of discrete step values; the system ensures the logical integrity of service layer data under the condition of physical layer transmission constraints through the synergistic effect of task identifiers and discrete step values.

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