Method and system for intelligent monitoring of regional stray current soil potential gradient

Abstract

The application discloses a regional stray current soil potential gradient intelligent monitoring method and system, and the method comprises the following steps: S1, a potential reference module and a leakage detection module are buried in the soil of a buried pipeline of rail transit, the potential reference module collects data of soil potential, the leakage detection module collects data of medium leakage concentration, and sends the data to a data processing module; S2, the data processing module processes the data of soil potential, and obtains a soil potential gradient; by monitoring the potential change in the soil and the pipeline leakage condition, the application realizes accurate monitoring and analysis of the regional stray current, achieves the effect of detecting the soil potential near the rail transit and the medium leakage concentration near the pipeline, and can realize real-time judgment of the stray current interference degree, the medium leakage condition and rapid positioning to the leakage point.

Description

Technical Field

[0001] This invention relates to the field of soil potential gradient monitoring technology, specifically to a method and system for intelligent monitoring of regional stray current soil potential gradient. Background Technology

[0002] Because of the weak points in the ground resistance of rail transit tracks, stray currents leaking into the soil can flow into and out of nearby buried pipelines, causing changes in pipeline-to-ground potential and forming DC stray currents in the subway. When stray currents cause severe corrosion of nearby buried pipelines, they can lead to pipeline leaks. When pipelines located near DC electrified railways, cathodic protection systems, and other DC interference sources have soil potential gradients exceeding a certain range, protective measures should be taken promptly.

[0003] The current work of measuring soil potential gradient is labor-intensive, requiring multiple people to work together with multiple testing instruments. Since the electrodes are in direct contact with the ground, each test requires finding a site that meets the testing conditions and burying a reference electrode, which often leads to unstable measurement results. In addition, a lot of manual operation is required for data analysis in the later stage. Therefore, there is a need for a smart monitoring method and system for regional stray current soil potential gradient. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for intelligent monitoring of regional stray current soil potential gradient, aiming to solve at least one of the technical problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for intelligent monitoring of regional stray current soil potential gradient, the method comprising the following steps:

[0006] S1, the potential reference module and the leakage detection module are buried in the soil of the underground pipeline of rail transit. The potential reference module collects soil potential data, and the leakage detection module collects medium leakage concentration data and sends it to the data processing module.

[0007] S2. The data processing module processes the soil potential data, obtains the soil potential gradient, and sends the soil potential, medium leakage concentration data and soil potential gradient to the network communication module.

[0008] S3. The network communication module receives soil potential and medium leakage concentration data, as well as soil potential gradient, and performs photoelectric conversion. Then, it sends the converted soil potential and medium leakage concentration data, as well as soil potential gradient, to the data management module.

[0009] S4. The data management module assesses the degree of stray current interference in the soil of buried pipelines of rail transit based on soil potential, medium leakage concentration and soil potential gradient, and determines whether the pipeline is leaking. If a leak is found, an alarm is triggered, and the stray current interference assessment data and pipeline leak information are sent to the host computer.

[0010] S5, the host computer is used to display, count, and store soil potential, medium leakage concentration, soil potential gradient, stray current interference assessment data, and information on whether the pipeline is leaking.

[0011] Preferably, the method for obtaining the soil potential gradient is as follows:

[0012] Step A1: The potential reference module includes multiple sets of reference electrodes, with two reference electrodes in each set;

[0013] Step A2: Two sets of reference electrodes are distributed in the soil parallel and perpendicular to the rail, respectively. One set of reference electrodes is parallel to the rail pipe, and the other set of reference electrodes is perpendicular to the first set of reference electrodes. The potential difference in the parallel and perpendicular directions is obtained.

[0014] Step A3: The data processing module obtains the soil potential gradient at the detection point based on the potential difference between two sets of reference electrodes, one for soil potential changes near the rail direction and the other for soil potential changes near the rail direction perpendicular to the rail direction, and sends it to the network communication module.

[0015] Preferably, the method for evaluating stray current interference is as follows:

[0016] Step B1: The data management module sets the soil potential gradient values ​​as U1, U2, and U3.

[0017] Step B2: When the soil potential gradient is less than or equal to U1, it is determined that the stray current interference is weak.

[0018] Step B3: When the soil potential gradient is greater than U1 but less than or equal to U2, it is judged that the degree of stray current interference is moderate.

[0019] Step B4: When the soil potential gradient is greater than U2 but less than or equal to U3, it is determined that the stray current interference is strong.

[0020] Preferably, the method for identifying pipeline leaks is as follows:

[0021] Step D1: The data management module compares the currently acquired data on the leakage concentration of the surrounding medium in the soil of the buried pipeline of rail transit with the data on the leakage concentration of the medium from the previous detection to obtain the difference.

[0022] Step D2: When the difference between the two detections of the leakage concentration data of the medium surrounding the buried pipeline in the soil of the rail transit is greater than the set value, it is determined that the pipeline in the soil of the buried pipeline of the rail transit has leaked, and an alarm message is issued and sent to the host computer.

[0023] Preferably, the data management module sends soil potential data, medium leakage concentration data, soil potential gradient, stray current interference assessment data, and pipeline leakage information to the host computer via Ethernet.

[0024] Preferably, the data processing module includes multiple detection sensors. When multiple detection sensors detect a pipeline leak in the soil of the buried rail transit pipeline, at least one detection sensor that detects the concentration data of the leaking medium is used to determine the pipeline leak point in the soil of the buried rail transit pipeline.

[0025] The regional stray current soil potential gradient intelligent monitoring system includes: a potential reference module, a leakage detection module, a network communication module, a data processing module, a data management module, and a host computer;

[0026] The potential reference module is used to collect soil potential in the soil of buried pipelines of rail transit, acquire soil potential data and send it to the data processing module.

[0027] The leakage detection module is used to collect and detect data on the leakage concentration of the medium in the soil surrounding the buried pipeline of rail transit, obtain the data on the leakage concentration of the medium, and send it to the data processing module;

[0028] The data processing module is used to process soil potential and medium leakage concentration data. Based on the soil potential data, it obtains the soil potential gradient and sends the soil potential, medium leakage concentration data and soil potential gradient to the network communication module.

[0029] The network communication module is used to receive data on soil potential and medium leakage concentration, as well as soil potential gradient, via photoelectric conversion, and then send the converted data on soil potential and medium leakage concentration, as well as soil potential gradient, to the data management module.

[0030] The data management module, based on soil potential data, medium leakage concentration data, and soil potential gradient, assesses the degree of stray current interference in the soil of buried rail transit pipelines through preset settings, and determines whether the pipeline is leaking. If a leak is found, an alarm is triggered, and the stray current interference assessment data and pipeline leak information are sent to the host computer.

[0031] Host computer: Used to display, statistically analyze, and store data on soil potential, media leakage concentration, soil potential gradient, stray current interference assessment data, and whether the pipeline is leaking.

[0032] Preferably, the data processing module is a detection sensor, the network communication module is a photoelectric switch, and the data management module is a stray current monitor.

[0033] Preferably, multiple network communication modules are connected by fiber optic cables to form a fiber optic ring network.

[0034] Compared with the prior art, the beneficial effects of the present invention are:

[0035] This invention enables precise monitoring and analysis of stray currents in a region by monitoring changes in soil potential and pipeline leaks. It can detect soil potential near rail transit and the concentration of leakage in transmission media near pipelines, and can also determine the degree of stray current interference, the leakage of transmission media, and quickly locate the leak point in real time. Attached Figure Description

[0036] Figure 1 A flowchart of a method and system for intelligent monitoring of regional stray current soil potential gradient according to an embodiment of the present invention;

[0037] Figure 2 This is a structural block diagram of a method and system for intelligent monitoring of regional stray current soil potential gradient according to an embodiment of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Please see Figures 1-2 As shown, this invention provides a method and system for intelligent monitoring of regional stray current soil potential gradient. The method includes the following steps:

[0040] S1, the potential reference module and the leakage detection module are buried in the soil of the underground pipeline of rail transit. The potential reference module collects soil potential data, and the leakage detection module collects medium leakage concentration data and sends it to the data processing module.

[0041] S2. The data processing module obtains the soil potential gradient based on the soil potential data, and sends the soil potential, medium leakage concentration data and soil potential gradient to the network communication module.

[0042] The method for obtaining the soil potential gradient is as follows:

[0043] Step A1: The potential reference module includes multiple sets of reference electrodes, with two reference electrodes in each set;

[0044] Step A2: Two sets of reference electrodes are distributed in the soil parallel and perpendicular to the rail. One set is parallel to the rail pipe, and the other set of reference electrodes is perpendicular to the first set of reference electrodes. The soil potential in the parallel and perpendicular directions is processed to obtain the potential difference data.

[0045] Step A3: The data processing module obtains the soil potential gradient at the detection point based on the potential difference between two sets of reference electrodes, one for soil potential changes near the rail direction and the other for soil potential changes near the rail direction perpendicular to the rail direction, and sends it to the network communication module.

[0046] S3, the network communication module receives soil potential and medium leakage concentration data, as well as soil potential gradient, performs photoelectric conversion, and then sends the converted soil potential and medium leakage concentration data, as well as soil potential gradient, to the data management module:

[0047] S4, the data management module assesses the degree of stray current interference in the soil of buried pipelines for rail transit based on soil potential, medium leakage concentration, soil potential gradient, and preset values. The data management module categorizes the soil potential gradient into three values: U1, U2, and U3. It compares the soil potential gradient at each detection point with these preset values ​​to determine the degree of stray current interference affecting the pipeline. Furthermore, it uses a pipeline leakage detection method to determine if a leak is detected. If a leak is found, an alarm is triggered. The data management module sends the stray current interference assessment data and pipeline leakage information to the host computer. The data processing module includes multiple... When multiple detection sensors detect a pipeline leak in the soil of a buried rail transit pipeline, at least one sensor that detects the concentration of the leaking medium is used to determine the leak point in the soil of the buried rail transit pipeline. The pipeline leak identification method is as follows: the data management module compares the currently acquired concentration of the leaking medium in the surrounding soil of the buried rail transit pipeline with the concentration of the leaking medium detected in the previous detection to obtain the difference. When the difference between the two concentrations of the leaking medium in the surrounding soil of the buried rail transit pipeline is greater than a set value, it is determined that a leak has occurred in the buried rail transit pipeline, an alarm message is issued and sent to the host computer.

[0048] S5, the host computer is used to display, count, and store soil potential, medium leakage concentration, soil potential gradient, stray current interference assessment data, and information on whether there is a leak in the pipeline.

[0049] Specifically, the assessment method for stray current interference is as follows:

[0050] Step B1: The data management module sets the soil potential gradient values ​​as U1, U2, and U3.

[0051] Step B2: When the soil potential gradient is less than or equal to U1, it is determined that the stray current interference is weak.

[0052] Step B3: When the soil potential gradient is greater than U1 but less than or equal to U2, it is judged that the degree of stray current interference is moderate.

[0053] Step B4: When the soil potential gradient is greater than U2 but less than or equal to U3, it is determined that the stray current interference is strong.

[0054] Specifically, the data management module sends soil potential data, medium leakage concentration data, soil potential gradient, stray current interference assessment data, and pipeline leakage information to the host computer via Ethernet.

[0055] Please see Figure 1 and Figure 2 As shown, the regional stray current soil potential gradient intelligent monitoring system includes: a potential reference module, a leakage detection module, a network communication module, a data processing module, a data management module, and a host computer.

[0056] The potential reference module is used to collect soil potential in the soil of buried pipelines of rail transit, acquire soil potential data and send it to the data processing module.

[0057] The leakage detection module is used to collect and detect data on the leakage concentration of the medium in the soil surrounding the buried pipeline of rail transit, obtain the data on the leakage concentration of the medium, and send it to the data processing module;

[0058] The data processing module is used to process soil potential and medium leakage concentration data, obtain soil potential gradient based on soil potential data, and send soil potential, medium leakage concentration data and soil potential gradient to the network communication module.

[0059] The network communication module is used to receive data on soil potential and medium leakage concentration, as well as soil potential gradient, through photoelectric conversion, and then send the converted data on medium leakage concentration and soil potential gradient to the data processing module.

[0060] The data management module, based on soil potential data, medium leakage concentration data, and soil potential gradient, assesses the degree of stray current interference in the soil of buried rail transit pipelines through preset settings, and determines whether the pipeline is leaking. If a leak is found, an alarm is triggered, and the stray current interference assessment data and pipeline leak information are sent to the host computer.

[0061] Host computer: Used to display, statistically analyze, and store data on soil potential, media leakage concentration, soil potential gradient, stray current interference assessment data, and whether the pipeline is leaking.

[0062] Specifically, the data processing module is a detection sensor, the network communication module is an optoelectronic switch, and the data management module is a stray current monitor.

[0063] Specifically, multiple network communication modules are connected by fiber optic cables to form a fiber optic ring network.

[0064] It should also be noted that, in Figure 2 The intermediate potential reference module is the reference electrode 1, the leakage detection module is the pipeline medium detection probe 2, the network communication module is the photoelectric switch 3, the data processing module is the detection sensor 4, the data management module is the stray current monitor 5, and the host computer is 6.

[0065] Please see Figure 1 and Figure 2 Multiple reference electrodes and multiple pipeline medium detection probes are buried in the soil near the rail transit where there are buried pipelines. The reference electrodes and pipeline medium detection probes collect soil potential and medium leakage concentration data respectively and send them to the detection sensor. The detection sensor processes the potential difference data of the two sets of reference electrodes to obtain the soil potential gradient and sends the soil potential data, medium leakage concentration data, and soil potential gradient to the photoelectric switch. The photoelectric switch sends the soil potential data, medium leakage concentration data, and soil potential gradient to the stray current monitor. Based on the soil potential, medium leakage concentration, and soil potential gradient, the stray current monitor assesses the degree of stray current interference and determines whether the pipeline is leaking by using preset settings. If a leak is detected, an alarm is triggered. At the same time, the information on whether the pipeline is leaking and the stray current interference assessment data are sent to the host computer. The host computer then displays, statistically analyzes, and stores the data sent by the stray current monitor.

[0066] All parts not described in this invention are the same as or can be implemented using existing technology. Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent monitoring of regional stray current soil potential gradient, characterized in that, The method includes the following steps: S1. The potential reference module and the leakage detection module are buried in the soil of the underground pipeline of rail transit. The potential reference module collects soil potential data, and the leakage detection module collects medium leakage concentration data and sends it to the data processing module. S2. The data processing module processes the soil potential data, obtains the soil potential gradient, and sends the soil potential, the medium leakage concentration data, and the soil potential gradient to the network communication module. The method for obtaining the soil potential gradient is as follows: Step A1: The potential reference module includes multiple sets of reference electrodes, and each set of reference electrodes contains two electrodes; Step A2: The two sets of reference electrodes are distributed in the soil parallel and perpendicular to the rail, respectively. One set of reference electrodes is parallel to the rail pipe, and the other set of reference electrodes is perpendicular to the first set of reference electrodes. The potential difference in the parallel and perpendicular directions is obtained. Step A3: The data processing module obtains the soil potential gradient at the detection point based on the potential difference between the two sets of reference electrodes near the soil potential change along the rail direction and near the soil potential change perpendicular to the rail direction, and sends it to the network communication module. S3. The network communication module receives the data of soil potential and the concentration of leakage of the medium, as well as the soil potential gradient, performs photoelectric conversion, and sends the converted data of soil potential and the concentration of leakage of the medium, as well as the soil potential gradient, to the data management module. S4. The data management module assesses the degree of stray current interference in the soil of the buried pipeline of rail transit based on the soil potential, the medium leakage concentration and the soil potential gradient, and determines whether the pipeline is leaking. If there is a leak, an alarm is triggered, and the stray current interference assessment data and the information on whether the pipeline is leaking are sent to the host computer. The method for evaluating stray current interference is as follows: Step B1: The data management module sets the soil potential gradient values ​​as U1, U2, and U3. Step B2: When the soil potential gradient is less than or equal to U1, it is determined that the stray current interference is weak. Step B3: When the soil potential gradient is greater than U1 but less than or equal to U2, it is judged that the degree of stray current interference is moderate. Step B4: When the soil potential gradient is greater than U2 but less than or equal to U3, it is determined that the stray current interference is strong. The specific methods for identifying pipeline leaks are as follows: Step D1: The data management module compares the currently acquired leakage concentration data of the medium in the soil surrounding the buried pipeline of the rail transit with the leakage concentration data of the medium from the previous detection to obtain the difference. Step D2: When the difference between two detections of the leakage concentration data of the medium around the buried pipeline in the soil of the rail transit is greater than the set value, it is determined that the pipeline in the soil of the buried pipeline of the rail transit has leaked, and an alarm message is issued and sent to the host computer. S5. The host computer is used to display, count, and store the soil potential, the medium leakage concentration, the soil potential gradient, the stray current interference assessment data, and information on whether the pipeline is leaking. The data processing module includes multiple detection sensors. When multiple detection sensors detect pipeline leakage in the soil of buried rail transit pipelines, at least one detection sensor that detects the concentration data of the leaking medium is used to determine the pipeline leakage point in the soil of buried rail transit pipelines.

2. The intelligent monitoring method for regional stray current soil potential gradient according to claim 1, characterized in that: The data management module transmits the soil potential data, the medium leakage concentration data, the soil potential gradient, the stray current interference assessment data, and the pipeline leakage data to the host computer via Ethernet.

3. A regional stray current soil potential gradient intelligent monitoring system, characterized in that, The system includes: a potential reference module, a leakage detection module, a network communication module, a data processing module, a data management module, and a host computer; The potential reference module is used to collect soil potential in the soil of buried pipelines of rail transit, obtain soil potential data and send it to the data processing module. The leakage detection module is used to collect and detect data on the leakage concentration of the medium in the soil surrounding the buried pipeline of rail transit, obtain the data on the leakage concentration of the medium, and send it to the data processing module. The data processing module is used to process the soil potential data, obtain the soil potential gradient, and send the medium leakage concentration data and the soil potential gradient to the network communication module. The data processing module includes multiple detection sensors. When multiple detection sensors detect a pipeline leak in the soil of the buried rail transit pipeline, at least one detection sensor that detects the concentration data of the leaking medium is used to determine the pipeline leak point in the soil of the buried rail transit pipeline. The network communication module is used to receive the soil potential and the medium leakage concentration data and the soil potential gradient via photoelectric conversion, and to send the converted soil potential data, the medium leakage concentration data and the soil potential gradient to the data management module. The data management module, based on the soil potential data, the medium leakage concentration data, and the soil potential gradient, assesses the degree of stray current interference in the soil of the buried pipeline of rail transit through preset values, and determines whether the pipeline is leaking. If a leak is found, an alarm is triggered, and the stray current interference assessment data and the information on whether the pipeline is leaking are sent to the host computer. The data management module sets the soil potential gradient to three values: U1, U2, and U3. When the soil potential gradient is less than or equal to U1, the stray current interference is considered weak. When the soil potential gradient is greater than U1 but less than or equal to U2, the stray current interference is considered moderate. When the soil potential gradient is greater than U2 but less than or equal to U3, the stray current interference is considered strong. The data management module compares the currently acquired leakage concentration data of the medium surrounding the buried railway pipeline in the soil with the previously acquired leakage concentration data to obtain the difference. If the difference between the two detected leakage concentration data of the medium surrounding the buried railway pipeline in the soil is greater than the set value, it is determined that a leak has occurred in the buried railway pipeline in the soil, and an alarm is issued and sent to the host computer. The host computer is used to display, statistically analyze, and store the data on soil potential, the data on medium leakage concentration, the soil potential gradient, the data on stray current interference assessment, and the data on pipeline leakage.

4. The intelligent monitoring system for regional stray current soil potential gradient according to claim 3, characterized in that: The data processing module is a detection sensor, the network communication module is a photoelectric switch, and the data management module is a stray current monitor.

5. The intelligent monitoring system for regional stray current soil potential gradient according to claim 3, characterized in that: Multiple network communication modules are connected by optical fiber cables to form an optical fiber ring network.

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