Remote detection deeply-buried cable system based on cloud service

Abstract

The invention belongs to the technical field of cable detection, and particularly relates to a remote detection deeply-buried cable system based on cloud service. Comprising a transmitter and a receiver, the transmitter comprises a data marking module and a multi-SIM card management module, and the data marking module generates a unique identifier containing a timestamp, a device ID and a geographic coordinate hash value for each piece of detection data; the multi-SIM card management module is switched among SIM cards of multiple operators to maintain communication continuity; the receiver comprises an edge preprocessing module, a conflict pre-resolution module and a local storage and forwarding module, and the edge preprocessing module filters repeated data through a unique identifier; the conflict pre-resolution module combines multi-device data conflicts according to timestamps and signal strength weights; the local storage and forwarding module manages a data uploading time sequence through an annular buffer area and a priority queue; according to the invention, data recording and conflicts can be avoided when the cable detector transmits and stores data through cloud service.

Description

Technical Field

[0001] The present invention belongs to the technical field of cable detection, and particularly relates to a remote detection system for buried cables based on cloud services. Background Art

[0002] Traditional cable detectors rely on manual on-site operation and local data storage, making it difficult to meet the requirements of real-time monitoring, data collaborative analysis, and remote decision-making in large-scale infrastructure operation and maintenance. Therefore, modern cable detectors generally integrate 4G communication modules to achieve real-time transmission of detection data, remote device control, and multi-terminal collaborative analysis through cloud services. As the core components of the detector, the transmitter and receiver synchronize key parameters such as test current, cable burial depth, signal frequency, geographical coordinates, point distance, and elevation to the cloud through the 4G network to form a complete digital twin model of the cable path. However, the introduction of 4G communication function brings a series of technical challenges while improving efficiency. Especially in complex network environments, the problems of data reliability and consistency are particularly prominent.

[0003] When the device is deployed in urban dense areas, large construction sites, or underground closed environments, the 4G network is easily affected by factors such as base station load fluctuations, multi-device competitive access, and physical occlusion, resulting in intermittent congestion or delay of the communication link. In this case, to ensure data integrity, the device side usually repeats the transmission of unacknowledged (ACK) data packets based on the retransmission mechanism of the TCP protocol, and 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, data duplicate recording, that is, multiple copies of data at the same detection point are written into the database, resulting in redundant trajectory points during subsequent path reconstruction and reducing the analysis accuracy; Second, data conflict. In the scenario of multi-device collaborative detection, duplicate data may overwrite the legitimate updates of other devices (such as cable burial depth correction values), causing inconsistent states.

[0004] In order to avoid problems such as data recording and conflict when the cable detector transmits and stores data through cloud services, a remote detection system for buried cables based on cloud services is proposed. Summary of the Invention

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

[0006] The object of the present invention can be achieved by the following technical solutions:

[0007] A remote detection deep - buried cable system based on cloud service 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 for each detection data, which includes a timestamp, a device ID, and a geographical coordinate hash value. The multi - SIM card management module switches between multi - operator SIM cards to maintain communication continuity.

[0008] 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 through the unique identifier. The conflict pre - resolution module merges multi - device data conflicts according to the timestamp and signal strength weights. The local storage and forwarding module manages the data upload timing through a circular buffer and a priority queue.

[0009] Further, the data marking module includes an identifier generation unit and a spatio - temporal tag attachment unit. The identifier 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 spatio - temporal tag attachment unit adds a timestamp and a geographical coordinate encryption tag to each data.

[0010] Further, 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 according to the remaining traffic and tariff cost. The seamless switching unit keeps the TCP / IP session uninterrupted when switching operators.

[0011] Further, the edge pre - processing module includes a duplicate removal engine and a temporary consistency cache. The duplicate removal engine quickly compares the unique identifier through a Bloom filter to discard duplicate data. The temporary consistency cache stores multi - version data before conflict pre - resolution for manual review.

[0012] Further, 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 performs weighted averaging on multi - device data of the same cable segment to generate a temporary view. The conflict marking unit adds a conflict tag to the data that cannot be automatically merged and uploads it to the cloud.

[0013] Further, the local storage and forwarding module includes a circular buffer, an intelligent priority queue, and an offline query interface. The circular buffer caches high - frequency detection data using an SSD storage medium. The intelligent priority queue uploads data hierarchically in the order of emergency fault > depth / current > path point. The offline query interface supports retrieving historical data through a local database when the network is interrupted.

[0014] Further, it also includes an end-to-end idempotency guarantee unit, a retransmission proxy unit, and an energy consumption balance controller. The end-to-end idempotency guarantee unit establishes a unique identifier verification library in the cloud and rejects the writing of duplicate data. The retransmission proxy unit records the offset of the data packet that has not been completely transmitted and automatically resumes transmission after the network recovers. The energy consumption balance controller dynamically adjusts the power consumption of the communication modules of the transmitter and the receiver according to the battery power.

[0015] The beneficial effects of the present invention are as follows: High-reliability data transmission and processing in complex environments are achieved through a software and hardware collaboration mechanism. The system adopts a two-way architecture design of a transmitter and a receiver: The transmitter constructs a unique identifier with spatio-temporal characteristics (timestamp + device ID + geographical coordinate hash value) through a data marking module, which not only guarantees data traceability but also reduces the transmission load through geographical information encryption and compression. The multi-SIM card management module uses a dynamic signal quality evaluation algorithm to achieve seamless switching between the networks of the three major operators, effectively solving the problem of communication interruption caused by signal blind spots in a single network. The edge preprocessing module on the receiver realizes data deduplication by quickly comparing identifiers through a distributed hash table. The conflict pre-resolution module adopts a two-layer decision model, giving priority to sorting by timestamp, and introducing a signal attenuation compensation algorithm to calculate the weight coefficient for synchronous data, ensuring the physical accuracy of multi-probe node data fusion. The local storage system combines a circular buffer and a dual-priority queue mechanism. The former uses overwrite storage to handle burst data streams, and the latter implements a differential transmission strategy according to the data type, still maintaining the offline caching ability during network fluctuations. Through the full-link optimization design, the effective data integrity rate is improved in the deep-buried cable detection scenario, especially suitable for long-distance cable monitoring in complex electromagnetic environments such as urban underground pipe networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0017] Figure 1 It is the step flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following describes in detail the specific embodiments, structures, features, and their effects of the present invention with reference to the accompanying drawings and preferred embodiments.

[0019] Such as Figure 1As shown in the figure, a remote detection deep-buried cable system based on cloud services 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 for each detection data, which includes a timestamp, a device ID, and a geographical coordinate hash value. The multi-SIM card management module switches between multi-operator SIM cards 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 the unique identifier. The conflict pre-resolution module merges multi-device data conflicts according to the timestamp and signal strength weight. The local storage and forwarding module manages the data upload timing through a circular buffer and a priority queue.

[0021] When a cable detector is used to detect underground cables in urban dense areas, large construction sites, or underground closed environments, the 4G network is vulnerable to factors such as base station load fluctuations, multi-device competitive access, and physical occlusion, resulting in intermittent congestion or delay in the communication link, and then duplicate records and data conflicts occur after the data is uploaded to the cloud. In order to avoid the above problems;

[0022] Therefore, a high-reliability data transmission and processing mechanism in complex environments is realized through a software and hardware cooperation mechanism. The system adopts a two-way architecture design of a transmitter and a receiver: the transmitter constructs a unique identifier with spatio-temporal characteristics (timestamp + device ID + geographical coordinate hash value) through the data marking module, which not only ensures data traceability but also reduces the transmission load through geographical information encryption and compression. The multi-SIM card management module adopts a dynamic signal quality evaluation algorithm to achieve seamless switching between the networks of the three major operators, effectively solving the communication interruption problem caused by the signal blind area of a single network. The edge preprocessing module on the receiver realizes data deduplication by quickly comparing identifiers through a distributed hash table. The conflict pre-resolution module adopts a two-layer decision model, which gives priority to sorting by timestamp, and introduces a signal attenuation compensation algorithm to calculate the weight coefficient for synchronous data, ensuring the physical accuracy of multi-detection node data fusion. The local storage system combines a circular buffer and a dual-priority queue mechanism. The former uses overwrite storage to handle burst data streams, and the latter implements a differential transmission strategy according to the data type, and can still maintain the offline caching ability during network fluctuations. Through the full-link optimization design, the effective data integrity rate is improved in the deep-buried cable detection scenario, and it is especially suitable for long-distance cable monitoring in complex electromagnetic environments such as urban underground pipe networks.

[0023] In one embodiment, the data marking module includes an identifier generation unit and a spatio-temporal tag attachment unit. The identifier 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 spatio-temporal tag attachment unit adds a timestamp and a geographical coordinate encryption tag to each data.

[0024] The identification generation unit generates a unique ID for the data packet with physically meaningful association by asymmetrically hashing and binding the cable detection core parameters (current phase value, frequency domain characteristic spectrum) with the GPS coordinates. By ensuring that data collected at the same geographical location at different times or by different devices all have unique identifiers, the defect of easy repetition in traditional serial number coding is solved. The spatio-temporal label attachment unit adopts a dual-channel marking strategy: the timestamp channel is built with a high-precision Beidou timing chip to ensure the consistency of the time reference for data from multiple detection nodes; the geographical coordinate channel uses a dynamic encryption algorithm to encrypt the longitude and latitude information to generate an irreversible label, which not only prevents the leakage of sensitive location information but also can restore the original coordinates through cloud authorization and decryption. This dual spatio-temporal identification mechanism enables the data packet to meet the requirements of anti-tampering, verifiability, and anti-interference during the transmission process, provides a structured indexing basis for the subsequent rapid deduplication of the edge preprocessing module, and supports the data fusion calculation of the conflict pre-resolution module in the multi-dimensional spatio-temporal coordinate system. This design is particularly applicable to the scenario of underground cable cross-detection. When multiple mobile detection devices operate in parallel in adjacent pipe galleries, it can effectively distinguish the mixed signal data from different cable paths.

[0025] In one embodiment, 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 according to the remaining traffic and tariff costs; the seamless switching unit keeps the TCP / IP session uninterrupted when switching operators.

[0026] The signal strength sorting unit continuously scans the base station signals of the three major operators and dynamically generates a network quality ranking list; the tariff policy selection unit is built with a traffic consumption prediction model, combines the remaining traffic of the operator's package and the real-time tariff unit price, and calculates the optimal cost-effective SIM card; the seamless switching unit keeps the TCP session state synchronously migrated at the moment of switching, reduces the switching delay, and avoids data retransmission. This design improves the communication success rate of the system while reducing the traffic cost.

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

[0028] The deduplication engine constructs a dynamic hash index library using a Bloom filter. Each unique identifier is mapped to a bit array through 3 independent hash functions to achieve deduplication with an O(1) time complexity. The temporary consistency cache retains the most recent 5 versions of the conflicting data for the same cable coordinate point and attaches metadata such as device ID and signal confidence. When automatic resolution fails, the operation and maintenance personnel can make a manual adjudication through the timeline comparison tool. This module reduces the amount of invalid data transmission and retains the traceability of key 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 based on the timestamp and signal strength; the data fusion unit performs weighted averaging on the multi-device data of the same cable segment to generate a temporary view; the conflict marking unit adds a conflict label 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 additional minute), and the signal strength weight to 30% (converting the dB value to a 0-1 normalization coefficient through the cable attenuation formula); the data fusion unit performs weighted averaging on the data packets with the same geographical 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 merged value is (15×0.8 + 16×0.6) / (0.8 + 0.6) = 15.43A; the conflict marking unit adds a red label to the data with a difference exceeding the threshold (such as a current difference > 5A), triggering the cloud system for analysis.

[0031] In one embodiment, the local storage and forwarding module includes a circular buffer, an intelligent priority queue, and an offline query interface. The circular buffer caches high-frequency detection data using an SSD storage medium; the intelligent priority queue uploads data in a hierarchical order of emergency faults > depth / current > path points; the offline query interface supports retrieving historical data through the local database when the network is interrupted.

[0032] The circular buffer caches high-frequency data for the most recent 72 hours in a circular write mode; the intelligent priority queue sets up three levels of channels - real-time upload for emergency faults (such as insulation breakdown alarms), hourly batch compression upload for depth / current data, and daily timed upload for path point data; the offline query interface supports local database retrieval and can perform combined queries based on conditions such as time range and cable ID.

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

[0034] The end-to-end idempotency guarantee unit stores the MD5 digest of all unique identifiers in the cloud, performs an existence check before data writing to avoid duplicate storage. The retransmission proxy unit records the breakpoint position and requests to resume transmission from the breakpoint after the network is restored. When the battery power is lower than 20%, the energy consumption balance controller reduces the transmission power, and the sampling frequency of the receiver is also reduced synchronously to extend the device's battery life. These mechanisms jointly ensure the operation stability and energy efficiency ratio of the system in extreme environments.

[0035] The above are only the preferred embodiments of the present invention, and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the equivalent embodiments by using the above-disclosed technical content without departing from the technical solution scope of the present invention. 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 still fall within the scope of the technical solution of the present invention.

Claims

1. A remote detection system for deep buried cables based on cloud services, characterized in that: It includes a transmitter and a receiver, wherein the transmitter includes a data marking module and a multi-SIM card management module, and the data marking module generates a unique identifier including 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; 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; and the local storage and forwarding module manages data upload timing through a ring buffer and a priority queue.

2. According to the cloud service-based remote detection system for deep buried cables according to claim 1, it is characterized by: The data marking module includes an identification generation unit and a time-space label addition 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 label addition unit adds a timestamp and a geographic coordinate encryption label to each piece of data.

3. The cloud service-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 of different operators in real time; the tariff policy selection unit dynamically selects the optimal SIM card according to the remaining traffic and tariff cost; and the seamless switching unit keeps the TCP / IP session unbroken when switching operators.

4. The cloud service-based remote detection system for deep buried cables according to claim 1, characterized in that: 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.

5. The cloud service-based remote detection system for deep buried cables according to claim 1, characterized in that: 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 the signal strength; the data fusion unit generates a temporary view by weighted average of 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.

6. The cloud service-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.

7. 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 agent unit and an energy consumption 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 consumption balancing controller dynamically adjusts the power consumption of the communication modules of the transmitter and the receiver according to the battery power.

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