A remote detection system for deep buried cables based on cloud services

Abstract

The present invention belongs to the technical field of cable detection, and specifically relates to a remote detection system for deeply buried cables based on cloud services; the system comprises a transmitter and a receiver, the transmitter comprising a data marking module and a multi-SIM card management module, the data marking module generating a unique identifier comprising a timestamp, a device ID and a hash value of geographic coordinates for each piece of detection data; the multi-SIM card management module switching between SIM cards of multiple operators to maintain communication continuity; the receiver comprising an edge preprocessing module, a conflict pre-resolution module and a local storage and forwarding module, the edge preprocessing module filtering duplicate data through a unique identifier; the conflict pre-resolution module merging data conflicts from multiple devices according to timestamps and signal strength weights; the local storage and forwarding module managing data upload timing through a ring buffer and a priority queue; the system can avoid data recording and conflicts when a cable detector transmits and stores data through a cloud service.

Description

Technical Field

[0001] The present invention belongs to the technical field of cable detection, and in particular relates to a cloud service-based remote detection system for deep-buried cables. Background Art

[0002] Traditional cable detectors rely on manual on-site operation and local data storage, making it difficult to meet the needs of large-scale infrastructure operation and maintenance for real-time monitoring, collaborative data analysis, and remote decision-making. To this end, modern cable detectors generally integrate 4G communication modules, which enable real-time return of detection data, remote equipment control, and multi-terminal collaborative analysis through cloud services. The transmitter and receiver, as the core components of the detector, synchronize key parameters such as test current, cable burial depth, signal frequency, geographic coordinates, point spacing, and elevation to the cloud via the 4G network, forming a complete digital twin model of the cable path. However, the introduction of 4G communication functions, while improving efficiency, also brings a series of technical challenges. In particular, in complex network environments, data reliability and consistency issues are particularly prominent.

[0003] When devices are deployed in densely populated urban areas, large construction sites, or closed underground environments, 4G networks are susceptible to factors such as base station load fluctuations, multiple devices competing for access, and physical obstructions, resulting in intermittent congestion or delays in the communication link. In this case, to ensure data integrity, the device side usually repeatedly sends data packets that have not received confirmation (ACK) based on the retransmission mechanism of the TCP protocol, while the cloud service may receive and process the same data packet multiple times due to network jitter. This repeated transmission phenomenon will cause two core problems: first, duplicate data recording, that is, multiple copies of data from the same detection point are written to the database, resulting in redundant trajectory points during subsequent path reconstruction, reducing analysis accuracy; second, data conflicts. In multi-device collaborative detection scenarios, duplicate data may overwrite legitimate updates of other devices (such as cable depth correction values), resulting in inconsistent status.

[0004] In order to avoid data recording and conflict problems that occur when cable detectors transmit and store data through cloud services, a remote detection system for deep-buried cables based on cloud services is proposed. Summary of the Invention

[0005] In order to solve the above problems existing in the prior art, the present invention provides a remote detection system for deep-buried cables based on cloud services.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The present invention provides a cloud-based remote detection system for deep-buried cables, comprising a transmitter and a receiver. The transmitter includes a data marking module and a multi-SIM card management module. The data marking module generates a unique identifier for each piece of detection data, including a timestamp, a device ID, and a hash value of geographic coordinates. The multi-SIM card management module switches between SIM cards of multiple operators to maintain communication continuity.

[0008] The receiver includes an edge preprocessing module, a conflict pre-resolution module and a local storage and forwarding module. The edge preprocessing module filters duplicate data using a unique identifier; the conflict pre-resolution module merges multi-device data conflicts based on timestamps and signal strength weights; and the local storage and forwarding module manages data upload timing using a ring buffer and a priority queue.

[0009] Furthermore, the data marking module includes an identification generation unit and a time-space tag attachment unit. The identification generation unit binds the current and frequency parameters collected by the sensor with the GPS coordinates to generate a unique ID for the data packet; the time-space tag attachment unit adds a timestamp and geographic coordinate encryption tag to each piece of data.

[0010] Furthermore, the multi-SIM card management module includes a signal strength sorting unit, a tariff policy selection unit, and a seamless switching unit. The signal strength sorting unit compares the signal strengths of SIM cards of different operators in real time; the tariff policy selection unit dynamically selects the optimal SIM card based on the remaining traffic and tariff cost; and the seamless switching unit keeps the TCP / IP session connected when switching operators.

[0011] Furthermore, the edge preprocessing module includes a deduplication engine and a temporary consistency cache. The deduplication engine quickly compares unique identifiers through a Bloom filter to discard duplicate data; the temporary consistency cache stores multiple versions of data before conflict resolution for manual review.

[0012] Furthermore, the conflict pre-resolution module includes a weight calculation unit, a data fusion unit and a conflict marking unit. The weight calculation unit generates a merging coefficient according to the timestamp and signal strength; the data fusion unit generates a temporary view by weighted averaging the data of multiple devices in the same cable segment; the conflict marking unit adds a conflict tag to the data that cannot be automatically merged and uploads it to the cloud.

[0013] Furthermore, the local storage and forwarding module includes a ring buffer, an intelligent priority queue and an offline query interface. The ring buffer uses high-frequency detection data cached by SSD storage media; the intelligent priority queue uploads data in a hierarchical order of emergency fault > depth / current > path point; and the offline query interface supports retrieval of historical data through a local database when the network is interrupted.

[0014] Furthermore, it also includes an end-to-end idempotence guarantee unit, a retransmission agent unit and an energy balancing controller. The end-to-end idempotence guarantee unit establishes a unique identifier verification library in the cloud to refuse duplicate data writing; the retransmission agent unit records the offset of the data packet that has not been completed and automatically resumes transmission after the network is restored; the energy balancing controller dynamically adjusts the power consumption of the communication modules of the transmitter and receiver according to the battery power.

[0015] The beneficial effects of the present invention are: high-reliability data transmission and processing in complex environments are achieved through a software-hardware collaborative mechanism. The system adopts a bidirectional architecture design of transmitter and receiver: the transmitter constructs a unique identifier with spatiotemporal characteristics (timestamp + device ID + geographic coordinate hash value) through a data tagging module, which not only ensures data traceability, but also reduces the transmission load through geographic information encryption and compression; the multi-SIM card management module adopts a dynamic signal quality assessment algorithm to achieve seamless switching between the three major operators' networks, effectively solving the communication interruption problem caused by a single network signal blind spot. The edge pre-processing module on the receiver quickly compares identifiers through a distributed hash table to achieve data deduplication. The conflict pre-resolution module adopts a two-layer decision model, giving priority to sorting by timestamp, and introduces a signal attenuation compensation algorithm to calculate the weight coefficient for synchronous data to ensure the physical accuracy of data fusion of multiple detection nodes. The local storage system combines a ring buffer and a dual-priority queue mechanism. The former uses overlay storage to deal with bursty data streams, and the latter implements differentiated transmission strategies according to data type, and can still maintain offline caching capabilities when the network fluctuates. Through full-link optimization design, the effective data integrity rate is improved in deep-buried cable detection scenarios, which is particularly suitable for long-distance cable monitoring in complex electromagnetic environments such as urban underground pipeline networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0017] Figure 1 It is a flow chart of the steps of the present invention. DETAILED DESCRIPTION

[0018] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0019] like Figure 1As shown, a cloud service-based remote detection deep-buried cable system of the present invention includes a transmitter and a receiver. The transmitter includes a data marking module and a multi-SIM card management module. The data marking module generates a unique identifier containing a timestamp, a device ID, and a hash value of geographic coordinates for each detection data; the multi-SIM card management module switches between SIM cards of multiple operators to maintain communication continuity.

[0020] The receiver includes an edge preprocessing module, a conflict pre-resolution module and a local storage and forwarding module. The edge preprocessing module filters duplicate data through a unique identifier; the conflict pre-resolution module merges multi-device data conflicts according to timestamps and signal strength weights; the local storage and forwarding module manages data upload timing through a ring buffer and priority queue.

[0021] When using cable detectors to detect underground cables in densely populated urban areas, large construction sites, or underground closed environments, 4G networks are susceptible to factors such as base station load fluctuations, multiple devices competing for access, and physical obstructions, resulting in intermittent congestion or delays in the communication link. This, in turn, leads to duplicate records and data conflicts after data is uploaded to the cloud. In order to avoid the above problems;

[0022] Therefore, a collaborative hardware-software mechanism enables highly reliable data transmission and processing in complex environments. The system employs a bidirectional architecture design with a transmitter and receiver. The transmitter uses a data tagging module to construct a unique identifier with spatiotemporal characteristics (timestamp + device ID + geographic coordinate hash value). This ensures data traceability while reducing transmission overhead through geographic information encryption and compression. The multi-SIM card management module employs a dynamic signal quality assessment algorithm to enable seamless switching between the three major carrier networks, effectively resolving communication interruptions caused by single-network signal blind spots. The edge pre-processing module on the receiver uses a distributed hash table to quickly compare identifiers and deduplicate data. The conflict pre-resolution module employs a two-tiered decision model, prioritizing timestamp sorting. For synchronized data, a signal attenuation compensation algorithm is used to calculate weight coefficients, ensuring physical accuracy of data fusion across multiple detection nodes. The local storage system combines a ring buffer with a dual-priority queue mechanism. The former uses overwriting storage to handle bursty data flows, while the latter implements differentiated transmission strategies based on data type, maintaining offline caching capabilities even during network fluctuations. Through a fully optimized design, the system improves effective data integrity in deep-buried cable detection scenarios, making it particularly suitable for long-distance cable monitoring in complex electromagnetic environments such as urban underground pipelines.

[0023] In one embodiment, the data marking module includes an identification generation unit and a spatiotemporal tag attachment unit. The identification generation unit binds the current and frequency parameters collected by the sensor with the GPS coordinates to generate a unique ID for the data packet; the spatiotemporal tag attachment unit adds a timestamp and a geographic coordinate encryption tag to each piece of data.

[0024] The identification generation unit asymmetrically hashes core cable detection parameters (current phase value, frequency domain characteristic spectrum) with GPS coordinates to generate a unique ID for the data packet with a physical association. This uniquely identifies data collected at the same geographic location but at different times or by different devices, addressing the duplication issues inherent in traditional serial number encoding. The spatiotemporal tag attachment unit employs a dual-channel tagging strategy: the timestamp channel incorporates a high-precision Beidou timing chip to ensure consistent time bases across multiple detection nodes; the geographic coordinate channel utilizes a dynamic encryption algorithm to encrypt longitude and latitude information and generate irreversible tags. This prevents the leakage of sensitive location information and allows for the original coordinates to be restored via cloud-based authorized decryption. This dual spatiotemporal tagging mechanism ensures that data packets meet tamper-proof, verifiable, and anti-interference requirements during transmission. It provides a structured index foundation for rapid deduplication in the subsequent edge preprocessing module and supports data fusion calculations in a multi-dimensional spatiotemporal coordinate system in the pre-conflict resolution module. This design is particularly suitable for underground cable crossing detection scenarios, effectively distinguishing mixed signal data from different cable paths when multiple mobile detection devices operate concurrently in adjacent tunnels.

[0025] In one embodiment, the multi-SIM card management module includes a signal strength ranking unit, a tariff policy selection unit, and a seamless switching unit. The signal strength ranking unit compares the signal strengths of SIM cards of different operators in real time; the tariff policy selection unit dynamically selects the optimal SIM card based on the remaining traffic and tariff cost; and the seamless switching unit keeps the TCP / IP session connected when switching operators.

[0026] The signal strength ranking unit continuously scans base station signals from the three major carriers and dynamically generates a network quality ranking. The rate strategy selection unit has a built-in data consumption prediction model that combines the remaining capacity of carrier packages and real-time rate unit prices to calculate the most cost-effective SIM card. The seamless handover unit synchronizes the TCP session state migration at the moment of handover, reducing handover delays and avoiding data retransmissions. This design improves the system's communication success rate while reducing data costs.

[0027] In one embodiment, the edge preprocessing module includes a deduplication engine and a temporary consistency cache. The deduplication engine quickly compares unique identifiers through Bloom filters to discard duplicate data; the temporary consistency cache stores multiple versions of data before conflict resolution for manual review.

[0028] The deduplication engine uses Bloom filters to construct a dynamic hash index library. Each unique identifier is mapped to a bit array using three independent hash functions, achieving O(1) time complexity deduplication. A temporary consistency cache retains the five most recent versions of conflicting data for the same cable coordinate point, appending metadata such as device ID and signal confidence. When automatic resolution fails, operations and maintenance personnel can manually adjudicate using a timeline comparison tool. This module reduces invalid data transmission and maintains the traceability of critical data.

[0029] In one embodiment, the conflict pre-resolution module includes a weight calculation unit, a data fusion unit and a conflict marking unit. The weight calculation unit generates a merging coefficient according to the timestamp and signal strength; the data fusion unit generates a temporary view by weighted averaging the data of multiple devices in the same cable segment; and the conflict marking unit adds a conflict tag to the data that cannot be automatically merged and uploads it to the cloud.

[0030] The weight calculation unit adopts a time decay model, setting the timestamp weight to 70% (for example, the data weight within 1 minute is 1.0, and it decays by 0.15 every minute exceeding 1 minute), and the signal strength weight to 30% (the dB value is converted into a 0-1 normalized coefficient through the cable attenuation formula); the data fusion unit performs weighted averaging on data packets with the same geographic hash value. For example, if device A (weight 0.8) reports a current of 15A and device B (weight 0.6) reports a current of 16A, the combined value is (15×0.8+16×0.6) / (0.8+0.6)=15.43A; the conflict marking unit adds a red label to data whose difference exceeds the threshold (such as current difference >5A), triggering cloud system analysis.

[0031] In one embodiment, the local storage and forwarding module includes a ring buffer, an intelligent priority queue, and an offline query interface. The ring buffer uses high-frequency detection data cached by SSD storage media; the intelligent priority queue uploads data in a hierarchical order of emergency fault > depth / current > path point; and the offline query interface supports retrieval of historical data through a local database when the network is interrupted.

[0032] The ring buffer uses a circular write method to cache high-frequency data from the past 72 hours; the intelligent priority queue sets up a three-level channel - real-time upload of emergency faults (such as insulation breakdown alarms), hourly batch compression upload of depth / current data, and daily scheduled upload of path point data; the offline query interface supports local database retrieval and can query based on conditions such as time range and cable ID.

[0033] In one embodiment, it also includes an end-to-end idempotence guarantee unit, a retransmission agent unit and an energy balancing controller. The end-to-end idempotence guarantee unit establishes a unique identifier verification library in the cloud to refuse duplicate data writing; the retransmission agent unit records the offset of the data packet that has not been completed and automatically resumes transmission after the network is restored; the energy balancing controller dynamically adjusts the power consumption of the communication modules of the transmitter and receiver according to the battery power.

[0034] The end-to-end idempotence assurance unit stores the MD5 digests of all unique identifiers in the cloud and performs an existence check before writing data to avoid duplicate storage. The retransmission agent unit records the breakpoint location and requests breakpoint resumption after the network is restored. The energy consumption balancing controller reduces the transmission power and the receiver sampling frequency when the battery power is less than 20% to extend the device's battery life. These mechanisms jointly ensure the system's operational stability and energy efficiency in extreme environments.

[0035] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A cloud-based remote detection system for deep-buried cables, characterized by: It includes a transmitter and a receiver. The transmitter includes a data marking module and a multi-SIM card management module. The data marking module generates a unique identifier containing a timestamp, a device ID and a hash value of geographic coordinates for each piece of detection data. The multi-SIM card management module switches between SIM cards of multiple operators to maintain communication continuity; The receiver includes an edge pre-processing module, a conflict pre-resolution module, and a local storage and forwarding module. The edge pre-processing module filters duplicate data using a unique identifier; the conflict pre-resolution module merges multi-device data conflicts based on timestamps and signal strength weights; and the local storage and forwarding module manages data upload timing using a ring buffer and a priority queue. The data tagging module includes an identifier generation unit and a spatiotemporal tag addition unit. The identifier generation unit binds the current and frequency parameters collected by the sensor with the GPS coordinates to generate a unique device ID for the data packet; the spatiotemporal tag addition unit adds a timestamp and a geographic coordinate hash value to each piece of data. The conflict pre-resolution module includes a weight calculation unit, a data fusion unit and a conflict marking unit. The weight calculation unit generates a merging coefficient according to the timestamp and signal strength; the data fusion unit generates a temporary view by weighted averaging the data of multiple devices in the same cable segment; The conflict marking unit adds conflict tags to the data that cannot be automatically merged and uploads it to the cloud.

2. The cloud-based remote detection system for deep-buried cables according to claim 1, characterized in that: The multi-SIM card management module includes a signal strength sorting unit, a tariff policy selection unit, and a seamless switching unit. The signal strength sorting unit compares the signal strengths of SIM cards from different operators in real time; the tariff policy selection unit dynamically selects the optimal SIM card based on remaining traffic and tariff costs; and the seamless switching unit keeps the TCP / IP session connected when switching operators.

3. The cloud service-based remote detection system for deep buried cables according to claim 1, characterized in that: The edge pre-processing module includes a deduplication engine and a temporary consistency cache. The deduplication engine quickly compares unique identifiers through Bloom filters to discard duplicate data; the temporary consistency cache stores multiple versions of data before conflict resolution for manual review.

4. The cloud-based remote detection system for deep-buried cables according to claim 1, characterized in that: The local storage and forwarding module includes a ring buffer, an intelligent priority queue and an offline query interface. The ring buffer uses high-frequency detection data cached by SSD storage media; the intelligent priority queue uploads data in a hierarchical order of emergency fault > depth / current > path point; and the offline query interface supports retrieval of historical data through a local database when the network is interrupted.

5. The cloud service-based remote detection system for deep buried cables according to claim 1, characterized in that: It also includes an end-to-end idempotence guarantee unit, a retransmission proxy unit and an energy balancing controller. The end-to-end idempotence guarantee unit establishes a unique identifier verification library in the cloud to refuse duplicate data writing; the retransmission proxy unit records the offset of the data packet that has not been transmitted and automatically resumes transmission after the network is restored; the energy balancing controller dynamically adjusts the power consumption of the communication modules of the transmitter and receiver according to the battery power.

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