Multi-pipeline cable monitoring method and system

Abstract

The invention discloses a multi-pipeline cable monitoring method and system, and relates to the technical field of cable monitoring, and the method comprises the steps: obtaining multi-source heterogeneous data of a multi-pipeline cable in a preset monitoring time, carrying out the multi-dimensional state evaluation of the multi-source heterogeneous data, obtaining a corresponding loss degree value, a magnetic field interference index and a space state abnormal deviation value, and carrying out the measurement of the loss degree value, the magnetic field interference index and the space state abnormal deviation value; and determining an adjustment strategy corresponding to the multi-pipeline cable according to the loss degree value, the magnetic field interference index and the space state abnormal deviation value, adjusting the multi-pipeline cable and the preset monitoring time according to the adjustment strategy, and skipping to execute the step of obtaining the multi-source heterogeneous data of the multi-pipeline cable in the preset monitoring time. The technical problem that in the prior art, the multi-pipeline cable is monitored mainly by obtaining the electrical characteristics and temperature of the multi-pipeline cable, but electromagnetic interference generated between adjacent pipelines is not considered, and the monitoring accuracy of the multi-pipeline cable is reduced is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable monitoring, and in particular to a multi-pipeline cable monitoring method and system. Background Art

[0002] With the current pace of urbanization and power system development, the complexity of underground pipeline networks has increased dramatically. Power cables, communication cables, water supply and drainage pipes, and other pipelines are often laid in parallel in the same area, forming dense pipeline clusters. This multi-pipeline coexistence poses significant challenges to cable monitoring and maintenance.

[0003] Currently, existing technologies mainly monitor multi-pipeline cables by obtaining their electrical characteristics and temperatures, but do not take into account electromagnetic interference between adjacent pipelines, which reduces the monitoring accuracy of the multi-pipeline cables. Summary of the Invention

[0004] The present invention provides a multi-pipeline cable monitoring method and system, which solves the technical problem that the existing technology mainly monitors multi-pipeline cables by obtaining the electrical characteristics and temperature of the multi-pipeline cables, but does not take into account the electromagnetic interference generated between adjacent pipelines, thereby reducing the monitoring accuracy of the multi-pipeline cables.

[0005] A first aspect of the present invention provides a multi-pipeline cable monitoring method, comprising:

[0006] Acquire multi-source heterogeneous data of multiple pipelines and cables within the preset monitoring time;

[0007] Performing a multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values;

[0008] determining an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value;

[0009] The multi-line cable and the preset monitoring time are adjusted according to the adjustment strategy, and the step of obtaining multi-source heterogeneous data of the multi-line cable within the preset monitoring time is skipped and executed.

[0010] Optionally, the multi-source heterogeneous data includes electrical dynamic data, electromagnetic environment data, and spatial mapping data, and the step of performing multi-dimensional state assessment on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values ​​includes:

[0011] Perform cable loss evaluation on the electrical dynamic data to obtain a corresponding loss degree value;

[0012] Performing magnetic field interference evaluation on the electromagnetic environment data to obtain a corresponding magnetic field interference index;

[0013] The spatial mapping data is subjected to anomaly detection to obtain a corresponding spatial state anomaly deviation value.

[0014] Optionally, the electrical dynamic data includes cable resistivity, cable diameter, operating frequency, cable length, and cable dielectric loss factor, and the step of performing cable loss assessment on the electrical dynamic data to obtain a corresponding loss degree value includes:

[0015] Multiplying the operating frequency, the cable dielectric loss factor, and a preset first cable dielectric constant and a second cable dielectric constant to obtain a corresponding first multiplied value;

[0016] Multiplying the square value of the cable diameter by a preset loss coefficient to obtain a corresponding second product;

[0017] performing ratio processing on the cable resistivity and the second multiplication value to obtain a corresponding first ratio;

[0018] Adding the first ratio and the first multiplication value to obtain a corresponding first sum;

[0019] The first sum value is multiplied by the cable length to obtain a corresponding loss degree value.

[0020] Optionally, the electromagnetic environment data includes cable magnetic field strength, cable magnetic field direction, multiple electromagnetic noise amplitudes, and multiple electromagnetic noise spectra. The step of performing magnetic field interference assessment on the electromagnetic environment data to obtain a corresponding magnetic field interference index includes:

[0021] multiplying each of the electromagnetic noise amplitudes by the corresponding electromagnetic noise spectrum to obtain a plurality of third multiplied values;

[0022] Adding each of the third product values ​​to obtain a corresponding second sum value;

[0023] Based on a preset magnetic field weight, a weighted operation is performed on the cable magnetic field strength, the cable magnetic field direction, and the second sum value to obtain a corresponding magnetic field interference index.

[0024] Optionally, the spatial mapping data includes cable length measurement values, cable diameter measurement values, cable bending angle measurement values, and cable laying depth measurement values, and the step of performing anomaly detection on the spatial mapping data to obtain a corresponding spatial state abnormality deviation value includes:

[0025] Performing difference processing on the measured cable length value and a preset cable length design value to obtain a corresponding first deviation value;

[0026] Performing difference processing on the cable diameter measurement value and a preset cable diameter design value to obtain a corresponding second deviation value;

[0027] Performing difference processing on the cable bending angle measurement value and a preset cable bending angle design value to obtain a corresponding third deviation value;

[0028] performing difference processing on the measured value of the cable laying depth and a preset design value of the cable laying depth to obtain a corresponding fourth deviation value;

[0029] The first deviation value, the second deviation value, the third deviation value, and the fourth deviation value are input into a preset space state abnormality evaluation function to obtain corresponding space state abnormality deviation values.

[0030] Optionally, the step of determining an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value includes:

[0031] Based on a preset cable evaluation weight, a weighted operation is performed on the loss degree value, the magnetic field interference index, and the spatial state abnormality deviation value to obtain a corresponding cable evaluation index;

[0032] Generate a corresponding target key using the loss degree value, the magnetic field interference index, the space state abnormality deviation value, and the cable evaluation index;

[0033] The target key is used to retrieve a preset adjustment strategy key-value pair list to match the adjustment strategy corresponding to the multi-line cable.

[0034] A second aspect of the present invention provides a multi-pipeline cable monitoring system, comprising:

[0035] The acquisition module is used to obtain multi-source heterogeneous data of multiple pipelines and cables within a preset monitoring time;

[0036] An evaluation module is used to perform multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values;

[0037] an analysis module, configured to determine an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value;

[0038] The adjustment module is used to adjust the multi-line cable and the preset monitoring time according to the adjustment strategy, and jump to the step of obtaining multi-source heterogeneous data of the multi-line cable within the preset monitoring time.

[0039] A third aspect of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of any of the above-described multi-pipeline cable monitoring methods.

[0040] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the multi-pipeline cable monitoring method as described in any one of the above items.

[0041] A fifth aspect of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the multi-pipeline cable monitoring method as described in any one of the above items.

[0042] It can be seen from the above technical solutions that the present invention has the following advantages:

[0043] The present invention obtains multi-source heterogeneous data of a multi-pipeline cable within a preset monitoring time, performs a multi-dimensional state assessment on the multi-source heterogeneous data, obtains corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values, determines an adjustment strategy corresponding to the multi-pipeline cable based on the loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values, adjusts the multi-pipeline cable and the preset monitoring time based on the adjustment strategy, and jumps to the step of obtaining multi-source heterogeneous data of the multi-pipeline cable within the preset monitoring time. This overcomes the technical problem of the existing technology that mainly monitors the multi-pipeline cable by obtaining the electrical characteristics and temperature of the multi-pipeline cable, but does not take into account the electromagnetic interference generated between adjacent pipelines, thereby reducing the monitoring accuracy of the multi-pipeline cable. Compared with the traditional multi-pipeline cable monitoring method, the present invention performs multi-dimensional status evaluation on multi-source heterogeneous data to obtain the corresponding loss degree value, magnetic field interference index and spatial state abnormal deviation value, and then uses the magnetic field interference index as the basis for judging whether the cable is affected by interference from adjacent pipelines. In combination with the loss degree value and spatial state abnormal deviation value, the corresponding adjustment strategy of the multi-pipeline cable is determined, so that the multi-pipeline cable can be adjusted in time according to the adjustment strategy, thereby improving the reliability of the operation of the multi-pipeline cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 A flowchart of a multi-pipeline cable monitoring method provided in Example 1 of the present invention;

[0046] Figure 2 A flowchart of a multi-pipeline cable monitoring method provided in Example 2 of the present invention;

[0047] Figure 3 This is a structural block diagram of a multi-pipeline cable monitoring system provided in Example 3 of the present invention;

[0048] Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0049] Embodiments of the present invention provide a multi-pipeline cable monitoring method and system for solving the technical problem that the prior art mainly monitors multi-pipeline cables by obtaining the electrical characteristics and temperature of the multi-pipeline cables, but does not take into account the electromagnetic interference generated between adjacent pipelines, thereby reducing the monitoring accuracy of the multi-pipeline cables.

[0050] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 , Figure 1 This is a flowchart of the steps of a multi-pipeline cable monitoring method provided in Example 1 of the present invention.

[0052] The present invention provides a multi-pipeline cable monitoring method, comprising:

[0053] Step 101: Acquire multi-source heterogeneous data of multiple pipelines and cables within a preset monitoring time.

[0054] It should be noted that multi-line cable refers to a cable in which multiple cables are laid in parallel in the same channel or area in power, communication, transportation or industrial facilities.

[0055] Multi-source heterogeneous data refers to the electrical dynamic data of multiple pipelines and cables, electromagnetic environment data, and spatial mapping data.

[0056] In an embodiment of the present invention, electrical dynamic data of a multi-pipeline cable within a preset monitoring time is collected by a voltage transformer, a current transformer, and an impedance analyzer (the electrical dynamic data includes but is not limited to cable resistivity, cable diameter, operating frequency, cable length, cable dielectric loss factor, cable current, current voltage, and cable inductance, etc.). Electromagnetic environment data of the multi-pipeline cable within a preset monitoring time is collected by electromagnetic sensors on the multi-pipeline cable (the electromagnetic environment data includes but is not limited to cable magnetic field strength, cable magnetic field direction, multiple electromagnetic noise amplitudes, and multiple electromagnetic noise spectra, etc.). Spatial mapping data of the multi-pipeline cable within the monitoring time is obtained by a laser rangefinder, a gyroscope, and a global positioning system (the spatial mapping data includes but is not limited to cable length measurement values, cable diameter measurement values, cable bending angle measurement values, and cable laying depth measurement values, etc.).

[0057] Step 102: Perform multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values.

[0058] The loss degree value refers to a composite indicator that quantifies the power loss and performance degradation of the cable during operation, and is used to evaluate the electrical health of the cable.

[0059] It should be noted that the magnetic field interference index is used to evaluate the degree of interference of cables in complex electromagnetic environments.

[0060] It should be noted that the spatial state abnormal deviation value is used to quantify the degree of deviation between the physical form of the cable and the design standard.

[0061] In this embodiment of the present invention, electrical dynamic data is input into a preset loss degree assessment function to obtain a corresponding loss degree value. Electromagnetic environment data is input into a preset magnetic field interference assessment function to obtain a corresponding magnetic field interference index. The differences between the cable length, cable diameter, cable bend angle, and cable installation depth measurements in the spatial mapping data and their corresponding design values ​​are calculated, and each difference is input into a preset spatial state anomaly assessment function to obtain a corresponding spatial state anomaly deviation value.

[0062] It should be noted that the loss degree evaluation function is specifically:

[0063]

[0064] in, is the loss degree value, is the cable resistivity, is the cable diameter, is the cable dielectric loss factor, is the operating frequency, is the first cable dielectric constant, is the second cable dielectric constant, is the cable length.

[0065] It should be noted that the magnetic field interference evaluation function is specifically:

[0066]

[0067] in, is the magnetic field interference index, is the first magnetic field weight coefficient, is the second magnetic field weight coefficient, is the third magnetic field weight coefficient, is the cable magnetic field strength, is the direction of the cable magnetic field, is the electromagnetic noise amplitude at the i-th frequency, is the electromagnetic noise spectrum at the i-th frequency, n is the number of frequencies, and i is the frequency index.

[0068] It should be noted that the spatial state anomaly evaluation function is specifically:

[0069]

[0070] in, is the abnormal deviation value of the spatial state, is the reference value of the cable length, is the reference value of the cable diameter, is the reference value of the cable bending angle, is the reference value of cable laying depth, The difference between the measured cable length and the preset cable length design value, The difference between the measured cable diameter and the preset cable diameter design value, The difference between the measured value of the cable bending angle and the preset design value of the cable bending angle. It is the difference between the measured value of cable laying depth and the preset cable laying depth design value.

[0071] Step 103: Determine an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value.

[0072] In an embodiment of the present invention, based on the preset cable evaluation weight, the loss degree value, the magnetic field interference index and the spatial state abnormality deviation value are weightedly calculated to obtain the corresponding cable evaluation index. The loss degree value, the magnetic field interference index, the spatial state abnormality deviation value and the cable evaluation index are used to generate a corresponding target key. The target key is used to retrieve a preset adjustment strategy key-value pair list to match the adjustment strategy corresponding to the multi-pipeline cable.

[0073] Step 104 : Adjust the multi-line cable and the preset monitoring time according to the adjustment strategy, and jump to the step of acquiring multi-source heterogeneous data of the multi-line cable within the preset monitoring time.

[0074] In the embodiment of the present invention, the multi-line cable and the preset monitoring time are adjusted according to the adjustment strategy, and the process jumps to step 101 .

[0075] In an embodiment of the present invention, multi-source heterogeneous data of a multi-pipeline cable within a preset monitoring time is obtained, and a multi-dimensional state assessment is performed on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values. Based on the loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values, an adjustment strategy corresponding to the multi-pipeline cable is determined. The multi-pipeline cable and the preset monitoring time are adjusted according to the adjustment strategy, and the step of obtaining multi-source heterogeneous data of the multi-pipeline cable within the preset monitoring time is skipped. This overcomes the technical problem of the existing technology that monitors the multi-pipeline cable mainly by obtaining the electrical characteristics and temperature of the multi-pipeline cable, but does not take into account the electromagnetic interference generated between adjacent pipelines, thereby reducing the monitoring accuracy of the multi-pipeline cable. Compared with the traditional multi-pipeline cable monitoring method, the present invention performs multi-dimensional status evaluation on multi-source heterogeneous data to obtain the corresponding loss degree value, magnetic field interference index and spatial state abnormal deviation value, and then uses the magnetic field interference index as the basis for judging whether the cable is affected by interference from adjacent pipelines. In combination with the loss degree value and spatial state abnormal deviation value, the corresponding adjustment strategy of the multi-pipeline cable is determined, so that the multi-pipeline cable can be adjusted in time according to the adjustment strategy, thereby improving the reliability of the operation of the multi-pipeline cable.

[0076] See also Figure 2 , Figure 2 This is a flowchart of the steps of a multi-pipeline cable monitoring method provided in Example 2 of the present invention.

[0077] The present invention provides a multi-pipeline cable monitoring method, comprising:

[0078] Step 201: Acquire multi-source heterogeneous data of multiple pipelines and cables within a preset monitoring time.

[0079] In the embodiment of the present application, the multi-source heterogeneous data of the multi-pipeline cable in the preset monitoring time is obtained through the preset multi-pipeline cable data acquisition module. The multi-pipeline cable data acquisition module includes an electrical dynamic data acquisition submodule, an electromagnetic environment data monitoring submodule, and a spatial mapping data recording submodule. The electrical dynamic data acquisition submodule acquires the electrical dynamic data of the multi-pipeline cable in the preset monitoring time by directly connecting the voltage, current transformer, and impedance analyzer. The electromagnetic environment data monitoring submodule acquires the electromagnetic environment data of the multi-pipeline cable in the preset monitoring time by directly connecting the electromagnetic sensor on the cable line. The spatial mapping data recording submodule acquires the spatial mapping data of the multi-pipeline cable in the monitoring time by directly connecting the laser range finder, gyroscope, and global positioning system.

[0080] Step 202, multi-dimensional state evaluation is performed on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormal deviation values.

[0081] Further, the multi-source heterogeneous data includes electrical dynamic data, electromagnetic environment data, and spatial mapping data, and step 202 includes the following substeps:

[0082] S11, the electrical dynamic data is subjected to cable loss evaluation to obtain corresponding loss degree values.

[0083] Further, the electrical dynamic data includes cable resistivity, cable diameter, working frequency, cable length, and cable dielectric loss factor, and S11 includes the following substeps:

[0084] S111, the working frequency, the cable dielectric loss factor, and the preset first cable dielectric constant and second cable dielectric constant are subjected to multiplication processing to obtain a corresponding first multiplication value.

[0085] The working frequency refers to the cable operation working frequency.

[0086] The first cable dielectric constant refers to the real part dielectric constant of the cable medium.

[0087] The second cable dielectric constant refers to the imaginary part dielectric constant of the cable medium.

[0088] The cable dielectric loss factor refers to a key parameter quantifying the energy loss of the cable insulation material in the alternating electric field, reflecting the polarization loss and conductance loss of the insulation medium. The higher the value is, the higher the efficiency of the conversion of electric energy into heat energy in the transmission process of the insulation material (i.e., the greater the loss).

[0089] In the embodiment of the present application, the multiplication value between the working frequency, the cable dielectric loss factor, and the preset first cable dielectric constant and second cable dielectric constant is calculated to obtain a corresponding first multiplication value.

[0090] S112: Multiply the square value of the cable diameter by a preset loss coefficient to obtain a corresponding second product value.

[0091] The loss coefficient refers to the coefficient for calculating the cross-sectional area of ​​the cable, and its value is .

[0092] In the embodiment of the present invention, the square value of the cable diameter is calculated and The multiplication value between them is used to obtain the corresponding second multiplication value.

[0093] S113. Ratio processing is performed on the cable resistivity and the second product value to obtain a corresponding first ratio.

[0094] In the embodiment of the present invention, the ratio between the cable resistivity and the second product value is calculated to obtain the corresponding first ratio.

[0095] S114: Add the first ratio and the first product value to obtain a corresponding first sum value.

[0096] In the embodiment of the present invention, the sum of the first ratio and the first product value is calculated to obtain the corresponding first sum.

[0097] S115 : Multiply the first sum by the cable length to obtain a corresponding loss degree value.

[0098] In the embodiment of the present invention, the product of the first sum and the cable length is calculated to obtain the corresponding loss degree value.

[0099] S12. Perform magnetic field interference evaluation on the electromagnetic environment data to obtain a corresponding magnetic field interference index.

[0100] Furthermore, the electromagnetic environment data includes cable magnetic field strength, cable magnetic field direction, multiple electromagnetic noise amplitudes, and multiple electromagnetic noise spectra. S12 includes the following sub-steps:

[0101] S121 , multiplying each electromagnetic noise amplitude by the corresponding electromagnetic noise spectrum to obtain a plurality of third multiplication values.

[0102] In the embodiment of the present invention, the multiplication values ​​between each electromagnetic noise amplitude and the corresponding electromagnetic noise spectrum are calculated respectively to obtain a plurality of third multiplication values.

[0103] S122: Add up each third product value to obtain a corresponding second sum value.

[0104] In the embodiment of the present invention, the sum of the third product values ​​is calculated to obtain the corresponding second sum.

[0105] S123, performing a weighted operation on the cable magnetic field strength, the cable magnetic field direction and the second sum value based on preset magnetic field weights, to obtain a corresponding magnetic field interference index.

[0106] It should be noted that the magnetic field weight includes a first magnetic field weight coefficient (which can be determined by experiment calibration or historical data regression analysis, and the value is 0.6-0.8), a second magnetic field weight coefficient (which can be obtained by preset electromagnetic coupling model simulation) and a third magnetic field weight coefficient. The first magnetic field weight coefficient is used to quantify the contribution weight of the cable magnetic field strength to the interference, and the greater the value, the more significant the influence of the magnetic field strength. The second magnetic field weight coefficient is used to reflect the interference weight of the magnetic field direction deviation, for example, the interference is the largest when the direction is orthogonal (v=90°), and the second magnetic field weight coefficient needs to be dynamically adjusted. The third magnetic field weight coefficient is used to quantify the weighting factor of different frequency band noises, and high frequency noise (such as 1MHz radio frequency) may be more sensitive than power frequency noise (50Hz).

[0107] In the embodiment of the application, based on the first magnetic field weight coefficient, the second magnetic field weight coefficient and the third magnetic field weight coefficient, the weighted operation is performed on the cable magnetic field strength, the cable magnetic field direction and the second sum value, to obtain the corresponding magnetic field interference index.

[0108] S13, performing abnormality detection on the space survey data to obtain a corresponding space state abnormality deviation value.

[0109] Further, the space survey data includes a cable length measurement value, a cable diameter measurement value, a cable bending angle measurement value and a cable laying depth measurement value, and S13 includes the following sub-steps:

[0110] S131, performing difference processing on the cable length measurement value and a preset cable length design value to obtain a corresponding first deviation value.

[0111] The first deviation value refers to the difference between the cable length measurement value and the preset cable length design value.

[0112] In the embodiment of the application, the difference between the cable length measurement value and the preset cable length design value is calculated to obtain the corresponding first deviation value.

[0113] S132, performing difference processing on the cable diameter measurement value and a preset cable diameter design value to obtain a corresponding second deviation value.

[0114] The second deviation value refers to the difference between the cable diameter measurement value and the preset cable diameter design value.

[0115] In the embodiment of the application, the difference between the cable diameter measurement value and the preset cable diameter design value is calculated to obtain the corresponding second deviation value.

[0116] S133: performing difference processing on the measured value of the cable bending angle and the preset design value of the cable bending angle to obtain a corresponding third deviation value.

[0117] The third deviation value refers to the difference between the measured value of the cable bending angle and the preset design value of the cable bending angle.

[0118] In the embodiment of the present invention, the difference between the measured value of the cable bending angle and the preset design value of the cable bending angle is calculated to obtain the corresponding third deviation value.

[0119] S134. Perform difference processing on the measured value of the cable laying depth and the preset design value of the cable laying depth to obtain a corresponding fourth deviation value.

[0120] The fourth deviation value refers to the difference between the measured value of the cable laying depth and the preset design value of the cable laying depth.

[0121] In an embodiment of the present invention, a difference between the measured value of the cable laying depth and a preset design value of the cable laying depth is calculated to obtain a corresponding fourth deviation value.

[0122] S135 . Input the first deviation value, the second deviation value, the third deviation value, and the fourth deviation value into a preset space state abnormality evaluation function to obtain corresponding space state abnormality deviation values.

[0123] In the embodiment of the present invention, based on a preset space state abnormality evaluation function, a corresponding space state abnormality deviation value is determined according to the first deviation value, the second deviation value, the third deviation value, and the fourth deviation value.

[0124] Step 203: Based on the preset cable evaluation weight, a weighted operation is performed on the loss degree value, the magnetic field interference index and the space state abnormality deviation value to obtain a corresponding cable evaluation index.

[0125] In an embodiment of the present invention, according to a preset cable evaluation weight, a weighted calculation is performed on the loss degree value, the magnetic field interference index and the space state abnormality deviation value to obtain a corresponding cable evaluation index.

[0126] Step 204: Generate a corresponding target key using the loss degree value, the magnetic field interference index, the space state abnormality deviation value, and the cable evaluation index.

[0127] In an embodiment of the present invention, the loss degree value, magnetic field interference index, space state abnormality deviation value and cable evaluation index are used to construct a corresponding target key, wherein the target key includes the loss degree value, magnetic field interference index, space state abnormality deviation value and cable evaluation index.

[0128] Step 205: Use the target key to retrieve a preset adjustment strategy key-value pair list to match the adjustment strategy corresponding to the multi-line cable.

[0129] In an embodiment of the present invention, a target key is used to retrieve a preset list of adjustment strategy key-value pairs to match adjustment strategies corresponding to multi-line cables. For example, when the loss level value in the target key exceeds a preset loss threshold, a first adjustment strategy is generated to perform partial cable repair or replace damaged sections. When the magnetic field interference index in the target key exceeds a preset interference threshold, a second adjustment strategy is generated to adjust the cable layout, increase shielding measures, or optimize electromagnetic noise. When the spatial state anomaly deviation value in the target key exceeds a preset deviation threshold, a third adjustment strategy is generated to adjust the cable laying method or repair bent or displaced cable segments. The corresponding update monitoring time is determined based on the cable evaluation index in the target key (i.e., determining whether the cable evaluation index is within a preset first update interval; if so, the first update time is determined as the update monitoring time; if not, determining whether the cable evaluation index is within a preset second update interval; if so, the second update time is determined as the update monitoring time; if not, the third update time is determined as the update monitoring time). The first adjustment strategy, the second adjustment strategy, the third adjustment strategy and the update monitoring time are determined as the adjustment strategy.

[0130] Step 206: Adjust the multi-line cable and the preset monitoring time according to the adjustment strategy, and jump to the step of acquiring multi-source heterogeneous data of the multi-line cable within the preset monitoring time.

[0131] In the embodiment of the present invention, the multi-line cable and the preset monitoring time are adjusted according to the adjustment strategy, and the process jumps to step 201 .

[0132] In an embodiment of the present invention, multi-source heterogeneous data of a multi-pipeline cable within a preset monitoring time is obtained, and a multi-dimensional state assessment is performed on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values. Based on the loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values, an adjustment strategy corresponding to the multi-pipeline cable is determined. The multi-pipeline cable and the preset monitoring time are adjusted according to the adjustment strategy, and the step of obtaining multi-source heterogeneous data of the multi-pipeline cable within the preset monitoring time is skipped. This overcomes the technical problem of the existing technology that monitors the multi-pipeline cable mainly by obtaining the electrical characteristics and temperature of the multi-pipeline cable, but does not take into account the electromagnetic interference generated between adjacent pipelines, thereby reducing the monitoring accuracy of the multi-pipeline cable. Compared with the traditional multi-pipeline cable monitoring method, the present invention performs multi-dimensional status evaluation on multi-source heterogeneous data to obtain the corresponding loss degree value, magnetic field interference index and spatial state abnormal deviation value, and then uses the magnetic field interference index as the basis for judging whether the cable is affected by interference from adjacent pipelines. In combination with the loss degree value and spatial state abnormal deviation value, the corresponding adjustment strategy of the multi-pipeline cable is determined, so that the multi-pipeline cable can be adjusted in time according to the adjustment strategy, thereby improving the reliability of the operation of the multi-pipeline cable.

[0133] See also Figure 3 , Figure 3 This is a structural block diagram of a multi-pipeline cable monitoring system provided in Example 3 of the present invention.

[0134] The present invention provides a multi-pipeline cable monitoring system, comprising:

[0135] The acquisition module 301 is used to obtain multi-source heterogeneous data of multiple pipelines and cables within a preset monitoring time;

[0136] Evaluation module 302, used to perform multi-dimensional state evaluation on multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values;

[0137] An analysis module 303 is used to determine an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index and the space state abnormality deviation value;

[0138] The adjustment module 304 is configured to adjust the multi-line cable and the preset monitoring time according to the adjustment strategy, and jump to the step of acquiring multi-source heterogeneous data of the multi-line cable within the preset monitoring time.

[0139] Furthermore, the multi-source heterogeneous data includes electrical dynamic data, electromagnetic environment data, and spatial mapping data. The evaluation module 302 includes:

[0140] The cable loss assessment submodule is used to evaluate the cable loss using the electrical dynamic data to obtain the corresponding loss degree value;

[0141] The magnetic field interference assessment submodule is used to perform magnetic field interference assessment on electromagnetic environment data and obtain the corresponding magnetic field interference index;

[0142] The anomaly detection submodule is used to perform anomaly detection on the spatial mapping data and obtain the corresponding spatial state abnormal deviation value.

[0143] Furthermore, the electrical dynamic data includes cable resistivity, cable diameter, operating frequency, cable length and cable dielectric loss factor. The cable loss assessment submodule includes:

[0144] A first loss evaluation unit is configured to multiply the operating frequency, the cable dielectric loss factor, and the preset first cable dielectric constant and the second cable dielectric constant to obtain a corresponding first multiplication value;

[0145] Multiplying the square value of the cable diameter by a preset loss coefficient to obtain a corresponding second multiplied value;

[0146] a second loss evaluation unit, configured to perform ratio processing on the cable resistivity and the second product value to obtain a corresponding first ratio;

[0147] Adding the first ratio and the first product value to obtain a corresponding first sum value;

[0148] The first sum is multiplied by the cable length to obtain a corresponding loss value.

[0149] Furthermore, the electromagnetic environment data includes cable magnetic field strength, cable magnetic field direction, multiple electromagnetic noise amplitudes, and multiple electromagnetic noise spectra. The magnetic field interference assessment submodule includes:

[0150] The first interference evaluation unit is configured to perform multiplication processing on each electromagnetic noise amplitude and the corresponding electromagnetic noise spectrum to obtain a plurality of third multiplication values;

[0151] Add up each third product value to obtain the corresponding second sum value;

[0152] The second interference evaluation unit is configured to perform a weighted operation on the cable magnetic field strength, the cable magnetic field direction, and the second sum value based on a preset magnetic field weight to obtain a corresponding magnetic field interference index.

[0153] Furthermore, the spatial mapping data includes cable length measurement values, cable diameter measurement values, cable bending angle measurement values, and cable laying depth measurement values. The anomaly detection submodule includes:

[0154] A first detection unit is used to perform difference processing on the measured value of the cable length and the preset design value of the cable length to obtain a corresponding first deviation value;

[0155] Performing difference processing on the cable diameter measurement value and the preset cable diameter design value to obtain a corresponding second deviation value;

[0156] Performing difference processing on the cable bending angle measurement value and the preset cable bending angle design value to obtain a corresponding third deviation value;

[0157] Performing difference processing on the measured value of the cable laying depth and the preset design value of the cable laying depth to obtain a corresponding fourth deviation value;

[0158] The second detection unit is used to input the first deviation value, the second deviation value, the third deviation value and the fourth deviation value into a preset space state abnormality evaluation function to obtain corresponding space state abnormality deviation values.

[0159] Furthermore, the analysis module 303 includes:

[0160] The first analysis submodule is used to perform a weighted operation on the loss degree value, the magnetic field interference index and the spatial state abnormality deviation value based on a preset cable evaluation weight to obtain a corresponding cable evaluation index;

[0161] The corresponding target key is generated using the loss degree value, magnetic field interference index, space state abnormal deviation value and cable evaluation index;

[0162] The second analysis submodule is used to use the target key to retrieve a preset adjustment strategy key-value pair list to match the adjustment strategy corresponding to the multi-line cable.

[0163] See also Figure 4 , Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention.

[0164] An electronic device according to an embodiment of the present invention includes a memory 401 and a processor 402. The memory 401 stores a computer program. When the computer program is executed by the processor 402, the processor 402 executes the multi-line cable monitoring method according to any of the above embodiments.

[0165] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for executing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When executed by a processing device, these codes cause the processing device to execute the various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When these codes are executed by a computing and processing device, they cause the computing and processing device to execute the steps of the multi-line cable monitoring method described above.

[0166] The fifth embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the multi-line cable monitoring method as described in any of the above embodiments is implemented.

[0167] Embodiment 6 of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the multi-pipeline cable monitoring method as described in any of the above embodiments.

[0168] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0169] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0170] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0171] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0172] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0173] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A multi-line cable monitoring method, characterized in that: include: Acquire multi-source heterogeneous data of multiple pipelines and cables within the preset monitoring time; Performing a multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values; determining an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value; The multi-line cable and the preset monitoring time are adjusted according to the adjustment strategy, and the step of obtaining multi-source heterogeneous data of the multi-line cable within the preset monitoring time is skipped and executed.

2. The multi-line cable monitoring method according to claim 1, characterized in that: The multi-source heterogeneous data includes electrical dynamic data, electromagnetic environment data, and spatial mapping data. The step of performing multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values ​​includes: Perform cable loss evaluation on the electrical dynamic data to obtain a corresponding loss degree value; Performing magnetic field interference evaluation on the electromagnetic environment data to obtain a corresponding magnetic field interference index; The spatial mapping data is subjected to anomaly detection to obtain a corresponding spatial state anomaly deviation value.

3. The multi-line cable monitoring method according to claim 2, characterized in that: The electrical dynamic data includes cable resistivity, cable diameter, operating frequency, cable length, and cable dielectric loss factor. The step of performing cable loss evaluation on the electrical dynamic data to obtain a corresponding loss degree value includes: Multiplying the operating frequency, the cable dielectric loss factor, and a preset first cable dielectric constant and a second cable dielectric constant to obtain a corresponding first multiplied value; Multiplying the square value of the cable diameter by a preset loss coefficient to obtain a corresponding second product; performing ratio processing on the cable resistivity and the second multiplication value to obtain a corresponding first ratio; Adding the first ratio and the first multiplication value to obtain a corresponding first sum; The first sum value is multiplied by the cable length to obtain a corresponding loss degree value.

4. The multi-line cable monitoring method according to claim 2, characterized in that: The electromagnetic environment data includes cable magnetic field strength, cable magnetic field direction, multiple electromagnetic noise amplitudes, and multiple electromagnetic noise spectra. The step of performing magnetic field interference evaluation on the electromagnetic environment data to obtain a corresponding magnetic field interference index includes: multiplying each of the electromagnetic noise amplitudes by the corresponding electromagnetic noise spectrum to obtain a plurality of third multiplied values; Adding each of the third product values ​​to obtain a corresponding second sum value; Based on a preset magnetic field weight, a weighted operation is performed on the cable magnetic field strength, the cable magnetic field direction, and the second sum value to obtain a corresponding magnetic field interference index.

5. The multi-line cable monitoring method according to claim 2, characterized in that: The spatial mapping data includes a cable length measurement value, a cable diameter measurement value, a cable bending angle measurement value, and a cable laying depth measurement value. The step of performing anomaly detection on the spatial mapping data to obtain a corresponding spatial state abnormality deviation value includes: Performing difference processing on the measured cable length value and a preset cable length design value to obtain a corresponding first deviation value; Performing difference processing on the cable diameter measurement value and a preset cable diameter design value to obtain a corresponding second deviation value; Performing difference processing on the cable bending angle measurement value and a preset cable bending angle design value to obtain a corresponding third deviation value; performing difference processing on the measured value of the cable laying depth and a preset design value of the cable laying depth to obtain a corresponding fourth deviation value; The first deviation value, the second deviation value, the third deviation value, and the fourth deviation value are input into a preset space state abnormality evaluation function to obtain corresponding space state abnormality deviation values.

6. The multi-line cable monitoring method according to claim 1, characterized in that: The step of determining an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value includes: Based on a preset cable evaluation weight, a weighted operation is performed on the loss degree value, the magnetic field interference index, and the spatial state abnormality deviation value to obtain a corresponding cable evaluation index; Generate a corresponding target key using the loss degree value, the magnetic field interference index, the space state abnormality deviation value, and the cable evaluation index; The target key is used to retrieve a preset adjustment strategy key-value pair list to match the adjustment strategy corresponding to the multi-line cable.

7. A multi-pipeline cable monitoring system, characterized in that: include: The acquisition module is used to obtain multi-source heterogeneous data of multiple pipelines and cables within a preset monitoring time; An evaluation module is used to perform multi-dimensional state evaluation on the multi-source heterogeneous data to obtain corresponding loss degree values, magnetic field interference indexes, and spatial state abnormality deviation values; an analysis module, configured to determine an adjustment strategy corresponding to the multi-line cable according to the loss degree value, the magnetic field interference index, and the space state abnormality deviation value; The adjustment module is used to adjust the multi-line cable and the preset monitoring time according to the adjustment strategy, and jump to the step of obtaining multi-source heterogeneous data of the multi-line cable within the preset monitoring time.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the multi-pipeline cable monitoring method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the multi-pipeline cable monitoring method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer is caused to perform the multi-pipeline cable monitoring method according to any one of claims 1 to 6.

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