Real-time cable monitoring method and system

Abstract

The invention discloses a cable real-time monitoring method and system, and relates to the technical field of cable management, and the method comprises the steps: obtaining the working condition data of a to-be-monitored cable in real time, carrying out the dynamic normalization analysis of the working condition data based on the historical data of the to-be-monitored cable, and obtaining a corresponding cable change index; and performing fault assessment on the working condition data according to the cable change index to obtain corresponding cable assessment data, and generating a monitoring result corresponding to the to-be-monitored cable based on a preset early warning threshold and the cable assessment data. The technical problems that a traditional cable monitoring method mainly depends on a manual regular inspection mode to check the operation state of the cable, the operation state of the cable is difficult to comprehensively evaluate, overload operation of the cable is easily caused, and the operation reliability of the cable is reduced are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cable management, in particular to a cable real-time monitoring method and system. BACKGROUND

[0002] As the core carrier of power transmission and distribution, cables are widely used in power grids, industrial facilities, urban power supply and new energy fields. The safe and stable operation of cables is directly related to the continuity of power supply and the safety of electrical equipment. However, cables are easily affected by factors such as load fluctuation, environmental temperature change and insulation aging during long-term operation, which may cause local overheating, insulation breakdown and even fire accidents. Therefore, it is crucial to monitor the operating state of cables in real time.

[0003] Currently, the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation. SUMMARY

[0004] The present application provides a cable real-time monitoring method and system, which solves the technical problem that the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation.

[0005] The present application provides a cable real-time monitoring method and system, which solves the technical problem that the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation.

[0006] The present application provides a cable real-time monitoring method and system, which solves the technical problem that the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation.

[0007] The present application provides a cable real-time monitoring method and system, which solves the technical problem that the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation.

[0008] The present application provides a cable real-time monitoring method and system, which solves the technical problem that the traditional cable monitoring method mainly relies on manual periodic inspection to check the operating state of cables, but lacks real-time analysis of key indicators such as temperature and load, making it difficult to fully evaluate the operating state of cables and easily leading to overloading of cables, reducing the reliability of cable operation.

[0009] Optionally, the operating condition data includes a plurality of cable temperature values and a plurality of cable load values, the historical data includes historical average temperature, historical maximum temperature, historical average load and historical maximum load, and the step of dynamically normalizing the operating condition data based on the historical data of the cable to be monitored to obtain the corresponding cable change index comprises:

[0010] The average of each cable temperature value is processed to obtain a corresponding first average;

[0011] The cable load values are averaged to obtain a corresponding second average value;

[0012] The first average value is subjected to temperature difference quantification processing according to the historical average temperature and the historical maximum temperature to obtain a corresponding cable temperature change value;

[0013] The second average value is subjected to load deviation analysis according to the historical average load and the historical maximum load to obtain a corresponding cable load change value, and the cable load change value and the cable temperature change value are determined as cable change indicators.

[0014] Optionally, the step of subjecting the first average value to temperature difference quantification processing according to the historical average temperature and the historical maximum temperature to obtain a corresponding cable temperature change value comprises:

[0015] The historical average temperature is subjected to difference processing with the first average value to obtain a corresponding first difference value;

[0016] The first average value is subjected to ratio processing with the historical maximum temperature to obtain a corresponding first ratio value;

[0017] The first ratio value is subjected to ratio processing with a pre-acquired data point quantity to obtain a corresponding second ratio value;

[0018] The absolute value of the first difference value is subjected to sum processing with the second ratio value to obtain the corresponding cable temperature change value.

[0019] Optionally, the step of subjecting the second average value to load deviation analysis according to the historical average load and the historical maximum load to obtain a corresponding cable load change value comprises:

[0020] The historical average load is subjected to difference processing with the second average value to obtain a corresponding second difference value;

[0021] The second average value is subjected to ratio processing with the historical maximum load to obtain a corresponding third ratio value;

[0022] The third ratio value is subjected to ratio processing with a pre-acquired data point quantity to obtain a corresponding fourth ratio value;

[0023] The absolute value of the second difference value is subjected to sum processing with the fourth ratio value to obtain the corresponding cable load change value.

[0024] Optionally, the working condition data further comprises cable energy consumption, cable loss, cable utilization rate, and cable power, and the step of subjecting the working condition data to fault evaluation according to the cable change indicators to obtain corresponding cable evaluation data comprises:

[0025] The cable energy consumption is compared with a preset maximum energy consumption to obtain a corresponding fifth ratio value;

[0026] The cable loss is compared with a preset maximum loss to obtain a corresponding sixth ratio value;

[0027] The cable utilization rate is compared with a preset maximum utilization rate to obtain a corresponding seventh ratio value;

[0028] The cable power is compared with a preset maximum power to obtain a corresponding eighth ratio value;

[0029] The fifth ratio value, the sixth ratio value, the seventh ratio value and the eighth ratio value are added to obtain a corresponding first sum value;

[0030] The first sum value is multiplied by the cable load change value and the cable temperature change value to obtain a cable temperature influence value and a cable load influence value;

[0031] The cable temperature influence value is subtracted from a preset temperature anomaly threshold to obtain a corresponding cable temperature evaluation value;

[0032] The cable load influence value is subtracted from a preset load anomaly threshold to obtain a corresponding cable load evaluation value, and the cable temperature evaluation value and the cable load evaluation value are determined as cable evaluation data.

[0033] Optionally, based on the preset warning threshold and the cable evaluation data, the step of generating the monitoring result corresponding to the to-be-monitored cable comprises:

[0034] determining whether the cable temperature evaluation value and the cable load evaluation value in the cable evaluation data are less than a preset warning threshold;

[0035] When the cable temperature evaluation value or the cable load evaluation value is less than the warning threshold, the cable operation is abnormal as the monitoring result corresponding to the to-be-monitored cable;

[0036] When the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to the warning threshold, the cable operation is normal as the monitoring result corresponding to the to-be-monitored cable.

[0037] The second aspect of the present application provides a cable real-time monitoring system, comprising:

[0038] The acquisition module is configured to acquire working condition data of a to-be-monitored cable in real time, and perform dynamic normalization analysis on the working condition data based on historical data of the to-be-monitored cable to obtain a corresponding cable change index.

[0039] an evaluation module configured to perform fault evaluation on the working condition data according to the cable change index, to obtain corresponding cable evaluation data;

[0040] a warning module configured to generate a monitoring result corresponding to the to-be-monitored cable based on a preset warning threshold and the cable evaluation data.

[0041] The third aspect of the present application provides an electronic device, comprising a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the cable real-time monitoring method according to any one of the above aspects.

[0042] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed to implement the cable real-time monitoring method according to any one of the above aspects.

[0043] The fifth aspect of the present application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the cable real-time monitoring method according to any one of the above aspects.

[0044] From the above technical solutions, the present application has the following advantages:

[0045] The present application obtains the working condition data of the to-be-monitored cable in real time, performs dynamic normalization analysis on the working condition data based on the historical data of the to-be-monitored cable, obtains the corresponding cable change index, performs fault evaluation on the working condition data according to the cable change index, obtains the corresponding cable evaluation data, generates the monitoring result corresponding to the to-be-monitored cable based on the preset warning threshold and the cable evaluation data. The technical problem that the traditional cable monitoring method mainly relies on the manual periodic inspection method to check the running state of the cable, and it is difficult to comprehensively evaluate the running state of the cable, which easily leads to overloading operation of the cable and reduces the reliability of the cable operation is overcome. Compared with the traditional cable monitoring method, the present application introduces the historical data of the to-be-monitored cable to perform dynamic normalization analysis on the working condition data, so as to obtain a monitoring result that can more comprehensively reflect the running state of the cable, avoid the cable from being accelerated aging and damaged due to long-term overloading operation, and improve the reliability of the cable operation. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0047] Figure 1 A step flow chart of a cable real-time monitoring method provided for the first embodiment of the present application.

[0048] Figure 2 A step flow chart of a cable real-time monitoring method provided for the second embodiment of the present application.

[0049] Figure 3 A structural block diagram of a cable real-time monitoring system provided for the third embodiment of the present application.

[0050] Figure 4 A structural block diagram of a computer device provided for the fourth embodiment of the present application. DETAILED DESCRIPTION

[0051] The embodiments of the present application provide a cable real-time monitoring method and system, which are used to solve the technical problem that the conventional cable monitoring method mainly relies on the manual periodic inspection mode to check the running state of the cable, but lacks real-time analysis on key indicators such as temperature and load, and it is difficult to comprehensively evaluate the running state of the cable, which easily leads to overload operation of the cable and reduces the reliability of the cable operation.

[0052] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the following described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0053] Please refer to Figure 1 , Figure 1 A step flow chart of a cable real-time monitoring method provided for the first embodiment of the present application.

[0054] The cable real-time monitoring method provided by the present application comprises:

[0055] In step 101, the working condition data of the cable to be monitored is acquired in real time, and the working condition data is dynamically normalized and analyzed based on the historical data of the cable to be monitored, so as to obtain corresponding cable change indicators.

[0056] The historical data refers to historical operation data of the cable, including but not limited to historical average temperature, historical maximum temperature, historical average load and historical maximum load.

[0057] The working condition data refers to operation parameters of the cable dynamically collected by the multi-source sensor, including but not limited to a cable temperature set, a cable load set, cable energy consumption, cable loss, cable utilization and cable power, etc.

[0058] The cable change index refers to a cable load change value and a cable temperature change value of the cable to be monitored.

[0059] In the embodiment of the application, the working condition data of the cable to be monitored is obtained in real time by the multi-source sensor on the cable to be monitored, and the historical data of the cable to be monitored is obtained from the operation history record of the cable to be monitored, the historical data and the working condition data are input into a preset dynamic normalization analysis function, and corresponding cable load change value and cable temperature change value are obtained.

[0060] It is worth mentioning that the cable temperature set can be obtained by optical fiber distributed temperature monitoring, and the expression of the cable temperature set is specifically:

[0061] ;

[0062] Wherein, is the cable temperature set, is the first cable temperature value, is the second cable temperature value, is the third cable temperature value, is the nth cable temperature value.

[0063] The cable load set can be obtained by the power monitoring system, and the expression of the cable load set is specifically:

[0064] ;

[0065] Wherein, is the cable load set, is the first cable load value, is the second cable load value, is the third cable load value, is the nth cable load value.

[0066] It should be noted that the dynamic normalization analysis function is specifically:

[0067] ;

[0068] Wherein, is the cable load change value, is the historical average temperature, is the i th cable temperature value, is the total number of collection points, is the historical maximum temperature, is the cable temperature change value, is the historical average load, is the i th cable load value, is the historical maximum load, and i is the index of the collection point.

[0069] Step 102, fault evaluation of the working condition data according to the cable change index, to obtain corresponding cable evaluation data.

[0070] The cable evaluation data refers to the cable temperature evaluation value and the cable load evaluation value of the cable.

[0071] In the embodiment of the present application, the cable change index and the working condition data are input into a preset fault evaluation function to obtain the corresponding cable temperature evaluation value and the cable load evaluation value.

[0072] It should be noted that the fault evaluation function is specifically:

[0073] ;

[0074] wherein, is the cable temperature evaluation value, is the cable load evaluation value, is the cable energy consumption, is the cable loss, is the cable utilization rate, is the cable power, is the maximum energy consumption, is the maximum loss, is the maximum utilization rate, is the maximum power, is the temperature abnormal threshold, is the load abnormal threshold.

[0075] Step 103, based on the preset warning threshold and the cable evaluation data, generating the monitoring result corresponding to the to-be-monitored cable.

[0076] In the embodiment of the present application, when the cable temperature evaluation value or the cable load evaluation value is less than the preset warning threshold, the cable operation abnormality is generated as the monitoring result corresponding to the to-be-monitored cable. When the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to the warning threshold, the cable operation normality is generated as the monitoring result corresponding to the to-be-monitored cable.

[0077] In the embodiment of the present application, the working condition data of the cable to be monitored is acquired in real time, the working condition data is dynamically normalized and analyzed based on the historical data of the cable to be monitored, the corresponding cable change index is obtained, the working condition data is evaluated according to the cable change index, the corresponding cable evaluation data is obtained, and the corresponding monitoring result of the cable to be monitored is generated based on the preset early warning threshold and the cable evaluation data. The technical problem that the traditional cable monitoring method mainly relies on the manual periodic inspection mode to check the running state of the cable, it is difficult to comprehensively evaluate the running state of the cable, and the cable is prone to overload operation, thereby reducing the reliability of the cable operation is overcome. Compared with the traditional cable monitoring method, the working condition data is dynamically normalized and analyzed by introducing the historical data of the cable to be monitored, so that the monitoring result which can more comprehensively reflect the running state of the cable is obtained, the cable is prevented from being accelerated aging and damaged due to long-term overload operation, and the reliability of the cable operation is improved.

[0078] Please refer to Figure 2 , Figure 2 The step flow chart of a cable real-time monitoring method provided for the second embodiment of the present application.

[0079] The cable real-time monitoring method provided by the present application comprises:

[0080] Step 201, the working condition data of the cable to be monitored is acquired in real time, and the working condition data is dynamically normalized and analyzed based on the historical data of the cable to be monitored, so as to obtain the corresponding cable change index.

[0081] Further, the working condition data comprises a plurality of cable temperature values and a plurality of cable load values, the historical data comprises a historical average temperature, a historical maximum temperature, a historical average load and a historical maximum load, and step 201 comprises the following sub-steps:

[0082] S11, the mean value of each cable temperature value is processed to obtain the corresponding first mean value.

[0083] The cable temperature value refers to the temperature value collected by the sampling point on the cable.

[0084] The first mean value refers to the average temperature of the cable.

[0085] In the embodiment of the present application, the mean value between each cable temperature value is calculated to obtain the corresponding first mean value.

[0086] S12, the mean value of each cable load value is processed to obtain the corresponding second mean value.

[0087] The second mean value refers to the average current of the cable.

[0088] The cable load value refers to the current value collected by the sampling point on the cable

[0089] In the embodiment of the present application, the mean value between each cable load value is calculated to obtain a corresponding second mean value.

[0090] S13, difference value quantization processing is performed on the first mean value according to the historical average temperature and the historical maximum temperature to obtain a corresponding cable temperature change value.

[0091] Further, S13 includes the following sub-steps:

[0092] S131, difference value processing is performed on the historical average temperature and the first mean value to obtain a corresponding first difference value.

[0093] The historical average temperature refers to the arithmetic mean value of all temperature monitoring data of the cable in the historical operation period.

[0094] In the embodiment of the present application, the difference value between the historical average temperature and the first mean value is calculated to obtain a corresponding first difference value.

[0095] S132, ratio processing is performed on the first mean value and the historical maximum temperature to obtain a corresponding first ratio.

[0096] The historical maximum temperature refers to the maximum value in all temperature monitoring data of the cable in the historical operation period.

[0097] In the embodiment of the present application, the ratio between the first mean value and the historical maximum temperature is calculated to obtain a corresponding first ratio.

[0098] S133, ratio processing is performed on the first ratio and the pre-acquired data point quantity to obtain a corresponding second ratio.

[0099] The data point quantity refers to the total number of data points, and the value is 2*total number of collection points.

[0100] In the embodiment of the present application, the ratio between the first ratio and the pre-acquired data point quantity is calculated to obtain a corresponding second ratio.

[0101] S134, sum processing is performed on the absolute value of the first difference value and the second ratio to obtain a corresponding cable temperature change value.

[0102] The cable temperature change value refers to the dynamic deviation between the real-time temperature of the cable and the historical temperature reference.

[0103] In the embodiment of the present application, the sum value between the absolute value of the first difference value and the second ratio is calculated to obtain a corresponding cable temperature change value.

[0104] S14, load deviation analysis is performed on the second mean value according to the historical average load and the historical maximum load to obtain a corresponding cable load change value, and the cable load change value and the cable temperature change value are determined as the cable change index.

[0105] Further, S14 comprises the following sub-steps:

[0106] S141, difference processing is performed on the historical average load and the second mean value to obtain a corresponding second difference value.

[0107] The historical average load refers to the arithmetic mean of all load current data of the cable in the historical operation period.

[0108] In the embodiment of the present application, the difference between the historical average load and the second mean value is calculated to obtain a corresponding second difference value.

[0109] S142, ratio processing is performed on the second mean value and the historical maximum load to obtain a corresponding third ratio value.

[0110] The historical maximum load refers to the maximum value in all load current data of the cable in the historical operation period.

[0111] In the embodiment of the present application, the ratio between the second mean value and the historical maximum load is calculated to obtain a corresponding third ratio value.

[0112] S143, ratio processing is performed on the third ratio value and the pre-acquired data point quantity to obtain a corresponding fourth ratio value.

[0113] In the embodiment of the present application, the ratio between the third ratio value and the pre-acquired data point quantity is calculated to obtain a corresponding fourth ratio value.

[0114] S144, sum processing is performed on the absolute value of the second difference value and the fourth ratio value to obtain a corresponding cable load change value.

[0115] The cable load change value refers to a key parameter calculated by dynamically comparing the current load and the historical load data.

[0116] In the embodiment of the present application, the sum between the absolute value of the second difference value and the fourth ratio value is calculated to obtain a corresponding cable load change value.

[0117] Step 202, fault evaluation is performed on the working condition data according to the cable change index to obtain corresponding cable evaluation data.

[0118] Further, the working condition data further comprises cable energy consumption, cable loss, cable utilization rate and cable power, and step 202 comprises the following sub-steps:

[0119] S21, ratio processing is performed on the cable energy consumption and the preset maximum energy consumption to obtain a corresponding fifth ratio value.

[0120] The cable energy consumption refers to the total amount of electric energy consumed by the cable per unit time during operation.

[0121] The maximum energy consumption refers to the peak recorded value of the cable's electrical energy consumption per unit time (such as per hour / day) during its historical operating cycle.

[0122] In the embodiment of the present invention, the ratio between the cable energy consumption and the preset maximum energy consumption is calculated to obtain a corresponding fifth ratio.

[0123] S22. Ratio the cable loss to a preset maximum loss value to obtain a corresponding sixth ratio.

[0124] Cable loss refers to the amount of electrical energy lost during cable operation due to resistance, dielectric, hysteresis and other factors.

[0125] Maximum loss refers to the benchmark reference value used to evaluate abnormal cable loss conditions.

[0126] In the embodiment of the present invention, the ratio between the cable loss and the preset maximum loss value is calculated to obtain the corresponding sixth ratio.

[0127] S23 . Ratio the cable utilization rate to a preset maximum utilization rate to obtain a corresponding seventh ratio.

[0128] Cable utilization refers to the parameter that indicates the degree to which the actual load capacity of the cable is used.

[0129] Maximum utilization refers to the benchmark parameter used to evaluate the usage limit of the cable's load capacity.

[0130] In the embodiment of the present invention, the ratio between the cable utilization rate and the preset maximum utilization rate is calculated to obtain the corresponding seventh ratio.

[0131] S24: performing ratio processing on the cable power and the preset maximum power value to obtain a corresponding eighth ratio.

[0132] Cable power refers to the effective electrical power transmitted by the cable in real time during operation.

[0133] Maximum power refers to the benchmark extreme value parameter used to evaluate the power operating status of the cable.

[0134] In the embodiment of the present invention, the ratio between the cable power and the preset maximum power value is calculated to obtain the corresponding eighth ratio.

[0135] S25 . Add the fifth ratio, the sixth ratio, the seventh ratio, and the eighth ratio to obtain a corresponding first sum.

[0136] In the embodiment of the present invention, the sum of the fifth ratio, the sixth ratio, the seventh ratio, and the eighth ratio is calculated to obtain the corresponding first sum.

[0137] S26, multiply the first sum value with the cable load change value and the cable temperature change value respectively to obtain a cable temperature influence value and a cable load influence value.

[0138] The cable temperature influence value refers to the temperature state of the cable.

[0139] The cable load influence value refers to the load state of the cable.

[0140] In the embodiment of the present application, the product of the first sum value and the cable temperature change value is calculated to obtain the cable temperature influence value. The product of the first sum value and the cable load change value is calculated to obtain the cable load influence value.

[0141] S27, difference processing is performed on the cable temperature influence value and the preset temperature abnormal threshold value to obtain a corresponding cable temperature evaluation value.

[0142] The temperature abnormal threshold value refers to the maximum cable temperature influence value allowed by the cable.

[0143] The cable temperature evaluation value refers to an index quantifying the deviation of the current temperature state of the cable from the normal range.

[0144] In the embodiment of the present application, the difference between the cable temperature influence value and the preset temperature abnormal threshold value is calculated to obtain the corresponding cable temperature evaluation value.

[0145] S28, difference processing is performed on the cable load influence value and the preset load abnormal threshold value to obtain a corresponding cable load evaluation value, and the cable temperature evaluation value and the cable load evaluation value are determined as cable evaluation data.

[0146] The load abnormal threshold value refers to the maximum cable load influence value allowed by the cable.

[0147] The cable temperature evaluation value refers to a comprehensive index quantifying the deviation of the current load state of the cable from the normal range.

[0148] In the embodiment of the present application, the difference between the cable load influence value and the preset load abnormal threshold value is calculated to obtain the corresponding cable load evaluation value, and the cable temperature evaluation value and the cable load evaluation value are determined as the cable evaluation data.

[0149] It is worth mentioning that by comprehensively considering the cable energy consumption, cable loss, cable utilization rate and cable power and other factors, and combining the temperature abnormal threshold value and the load abnormal threshold value, the running state of the cable can be more comprehensively reflected, the load condition of the cable can be monitored in real time, the cable can be prevented from accelerating aging, damage and even causing failure due to long-term overload operation, and the safety and reliability of the cable are improved.

[0150] Step 203, judging whether the cable temperature evaluation value and the cable load evaluation value in the cable evaluation data are less than a preset early warning threshold value.

[0151] The early warning threshold value refers to a critical value of abnormal failure of the cable. The value is 0.

[0152] In the embodiment of the present application, it is judged whether the cable temperature evaluation value and the cable load evaluation value in the cable evaluation data are less than 0.

[0153] Step 204, when the cable temperature evaluation value or the cable load evaluation value is less than the early warning threshold value, the cable running abnormality is taken as the monitoring result corresponding to the cable to be monitored.

[0154] In the embodiment of the present application, when either the cable temperature evaluation value or the cable load evaluation value is less than 0, it indicates that the cable to be monitored has abnormal failure, and the cable running abnormality is taken as the monitoring result corresponding to the cable to be monitored. The monitoring result is sent to the operation and maintenance platform and the maintenance personnel corresponding to the cable to be monitored.

[0155] Step 205, when the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to the early warning threshold value, the cable running normality is taken as the monitoring result corresponding to the cable to be monitored.

[0156] In the embodiment of the present application, when the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to 0, it indicates that the cable to be monitored has no abnormal failure, and the cable running normality is taken as the monitoring result corresponding to the cable to be monitored.

[0157] In the embodiment of the present application, the working condition data of the cable to be monitored is acquired in real time, and the dynamic normalization analysis is performed on the working condition data based on the historical data of the cable to be monitored, so as to obtain the corresponding cable change index. The fault evaluation is performed on the working condition data according to the cable change index, so as to obtain the corresponding cable evaluation data. Based on the preset early warning threshold value and the cable evaluation data, the monitoring result corresponding to the cable to be monitored is generated. The technical problem that the traditional cable monitoring method mainly relies on the manual periodic inspection to check the running state of the cable, and it is difficult to comprehensively evaluate the running state of the cable, and the cable is prone to overload operation, thereby reducing the reliability of the cable running, is overcome. Compared with the traditional cable monitoring method, the monitoring result which can more comprehensively reflect the running state of the cable is obtained by introducing the historical data of the cable to be monitored to perform the dynamic normalization analysis on the working condition data, so as to avoid the accelerated aging and damage of the cable due to long-term overload operation, and the reliability of the cable running is improved.

[0158] In the embodiment of the present application, please refer to Figure 3 , Figure 3 The structural block diagram of a cable real-time monitoring system provided for the third embodiment of the present application.

[0159] The cable real-time monitoring system provided by the application comprises:

[0160] The acquisition module 301 is configured to acquire working condition data of the cable to be monitored in real time, and perform dynamic normalization analysis on the working condition data based on historical data of the cable to be monitored, so as to obtain corresponding cable change indicators;

[0161] The evaluation module 302 is configured to perform fault evaluation on the working condition data according to the cable change indicators, so as to obtain corresponding cable evaluation data;

[0162] The early warning module 303 is configured to generate a monitoring result corresponding to the cable to be monitored based on a preset early warning threshold and the cable evaluation data.

[0163] Further, the working condition data comprises a plurality of cable temperature values and a plurality of cable load values, and the historical data comprises a historical average temperature, a historical maximum temperature, a historical average load and a historical maximum load. The acquisition module 301 comprises:

[0164] The first mean value submodule is configured to perform mean value processing on each cable temperature value, so as to obtain a corresponding first mean value;

[0165] The second mean value submodule is configured to perform mean value processing on each cable load value, so as to obtain a corresponding second mean value;

[0166] The temperature difference quantification submodule is configured to perform temperature difference quantification processing on the first mean value according to the historical average temperature and the historical maximum temperature, so as to obtain a corresponding cable temperature change value;

[0167] The load deviation analysis submodule is configured to perform load deviation analysis on the second mean value according to the historical average load and the historical maximum load, so as to obtain a corresponding cable load change value, and determine the cable load change value and the cable temperature change value as the cable change indicators.

[0168] Further, the temperature difference quantification submodule comprises:

[0169] The first difference unit is configured to perform difference processing on the historical average temperature and the first mean value, so as to obtain a corresponding first difference value;

[0170] The first ratio unit is configured to perform ratio processing on the first mean value and the historical maximum temperature, so as to obtain a corresponding first ratio value;

[0171] The second ratio unit is configured to perform ratio processing on the first ratio value and a data point quantity obtained in advance, so as to obtain a corresponding second ratio value;

[0172] The absolute value of the first difference value and the second ratio value are added, so as to obtain the corresponding cable temperature change value.

[0173] Further, the load deviation analysis submodule comprises:

[0174] A second difference unit is used to perform difference processing on the historical average load and the second mean to obtain a corresponding second difference;

[0175] a third ratio unit, configured to perform a ratio processing on the second average value and the historical maximum load to obtain a corresponding third ratio;

[0176] a fourth ratio unit, configured to perform a ratio processing on the third ratio and the number of pre-acquired data points to obtain a corresponding fourth ratio;

[0177] The absolute value of the second difference and the fourth ratio are added together to obtain a corresponding cable load change value.

[0178] Furthermore, the operating condition data also includes cable energy consumption, cable loss, cable utilization, and cable power. The evaluation module 302 includes:

[0179] A first analysis submodule is configured to perform ratio processing on the cable energy consumption and a preset maximum energy consumption value to obtain a corresponding fifth ratio;

[0180] Ratioing the cable loss to a preset maximum loss value to obtain a corresponding sixth ratio;

[0181] Ratioing the cable utilization rate to a preset maximum utilization rate to obtain a corresponding seventh ratio;

[0182] Ratio processing is performed on the cable power and the preset maximum power value to obtain a corresponding eighth ratio;

[0183] a second analysis submodule, configured to sum the fifth ratio, the sixth ratio, the seventh ratio, and the eighth ratio to obtain a corresponding first sum;

[0184] A third analysis submodule is configured to multiply the first sum by the cable load change value and the cable temperature change value respectively to obtain a cable temperature impact value and a cable load impact value;

[0185] The cable temperature impact value is processed with the preset temperature abnormality threshold to obtain the corresponding cable temperature assessment value;

[0186] The cable load impact value is differentially processed with a preset load abnormality threshold to obtain a corresponding cable load evaluation value, and the cable temperature evaluation value and the cable load evaluation value are determined as cable evaluation data.

[0187] Furthermore, the early warning module 303 includes:

[0188] The fourth analysis submodule is used to determine whether the cable temperature evaluation value and the cable load evaluation value in the cable evaluation data are less than a preset warning threshold;

[0189] the cable is running abnormally as the monitoring result corresponding to the cable to be monitored when the cable temperature evaluation value or the cable load evaluation value is less than the pre-warning threshold value;

[0190] the cable is running normally as the monitoring result corresponding to the cable to be monitored when the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to the pre-warning threshold value.

[0191] Referring to Figure 4 , Figure 4 a structural block diagram of a computer device provided for the fourth embodiment of the present application.

[0192] The electronic device of the embodiment of the present application comprises a memory 401 and a processor 402, the memory 401 stores a computer program; the computer program is executed by the processor 402 to make the processor 402 execute the cable real-time monitoring method of any of the above embodiments.

[0193] The memory 401 can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk or a ROM. The memory 401 has a storage space 403 for program codes 413 for executing any of the method steps described above. For example, the storage space 403 for program codes can comprise individual program codes 413 for implementing various steps in the above method, respectively. These program codes can be read from or written to one or more computer program products. These computer program products comprise program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program codes can be compressed in a suitable form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform the individual steps in the above described method. These program codes can be read from or written to one or more computer program products. These computer program products comprise program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program codes can be compressed in a suitable form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform the individual steps in the above described cable real-time monitoring method.

[0194] The fifth embodiment of the present application also provides a computer readable storage medium, which stores a computer program, the computer program is executed by a processor to implement the cable real-time monitoring method of any of the above embodiments.

[0195] The embodiment six of the present application further provides a computer program product, the computer program product comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the cable real-time monitoring method of any one of the above-mentioned embodiments.

[0196] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned system, device and unit can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

[0197] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0198] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0199] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0200] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the entire or part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the various embodiment methods of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0201] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A real-time cable monitoring method, characterized in that: include: Acquire the working condition data of the cable to be monitored in real time, and perform dynamic normalization analysis on the working condition data based on the historical data of the cable to be monitored to obtain the corresponding cable change index; Performing a fault assessment on the operating condition data according to the cable change index to obtain corresponding cable assessment data; Based on the preset early warning threshold and the cable evaluation data, a monitoring result corresponding to the cable to be monitored is generated.

2. The cable real-time monitoring method according to claim 1, characterized in that: The operating condition data includes multiple cable temperature values ​​and multiple cable load values, and the historical data includes a historical average temperature, a historical maximum temperature, a historical average load, and a historical maximum load. The step of dynamically normalizing and analyzing the operating condition data based on the historical data of the cable to be monitored to obtain a corresponding cable change index includes: Performing averaging on each of the cable temperature values ​​to obtain a corresponding first average value; Performing averaging on each of the cable load values ​​to obtain a corresponding second average value; Performing temperature difference quantification processing on the first mean value according to the historical average temperature and the historical maximum temperature to obtain a corresponding cable temperature change value; A load deviation analysis is performed on the second mean value according to the historical average load and the historical maximum load to obtain a corresponding cable load change value, and the cable load change value and the cable temperature change value are determined as cable change indicators.

3. The cable real-time monitoring method according to claim 2, characterized in that: The step of performing temperature difference quantification processing on the first mean value according to the historical average temperature and the historical maximum temperature to obtain a corresponding cable temperature change value includes: Performing difference processing on the historical average temperature and the first mean to obtain a corresponding first difference; Performing a ratio processing on the first average value and the historical maximum temperature to obtain a corresponding first ratio; Performing a ratio processing on the first ratio and the number of pre-acquired data points to obtain a corresponding second ratio; The absolute value of the first difference and the second ratio are added together to obtain a corresponding cable temperature change value.

4. The cable real-time monitoring method according to claim 2, characterized in that: The step of performing load deviation analysis on the second mean value according to the historical average load and the historical maximum load to obtain a corresponding cable load change value includes: Performing difference processing on the historical average load and the second mean to obtain a corresponding second difference; performing a ratio processing on the second average value and the historical maximum load to obtain a corresponding third ratio; Performing a ratio processing on the third ratio and the number of pre-acquired data points to obtain a corresponding fourth ratio; The absolute value of the second difference and the fourth ratio are added together to obtain a corresponding cable load change value.

5. The cable real-time monitoring method according to claim 2, characterized in that: The operating condition data further includes cable energy consumption, cable loss, cable utilization, and cable power. The step of performing fault assessment on the operating condition data according to the cable change index to obtain corresponding cable assessment data includes: Ratio processing is performed on the cable energy consumption and a preset maximum energy consumption value to obtain a corresponding fifth ratio; Ratio processing is performed on the cable loss and a preset maximum loss value to obtain a corresponding sixth ratio; Ratio processing is performed on the cable utilization rate and a preset maximum utilization rate to obtain a corresponding seventh ratio; performing a ratio processing on the cable power and a preset maximum power value to obtain a corresponding eighth ratio; Adding the fifth ratio, the sixth ratio, the seventh ratio, and the eighth ratio to obtain a corresponding first sum; Multiplying the first sum by the cable load change value and the cable temperature change value respectively to obtain a cable temperature impact value and a cable load impact value; Performing difference processing on the cable temperature impact value and the preset temperature abnormality threshold to obtain the corresponding cable temperature assessment value; The cable load impact value is subjected to difference processing with a preset load abnormality threshold value to obtain a corresponding cable load evaluation value, and the cable temperature evaluation value and the cable load evaluation value are determined as cable evaluation data.

6. The cable real-time monitoring method according to claim 1, characterized in that: The step of generating a monitoring result corresponding to the cable to be monitored based on a preset early warning threshold and the cable evaluation data includes: Determining whether the cable temperature evaluation value and the cable load evaluation value in the cable evaluation data are less than a preset warning threshold; When the cable temperature evaluation value or the cable load evaluation value is less than the warning threshold, the cable operation abnormality is taken as the monitoring result corresponding to the cable to be monitored; When the cable temperature evaluation value and the cable load evaluation value are both greater than or equal to the early warning threshold, the normal operation of the cable is taken as the monitoring result corresponding to the cable to be monitored.

7. A cable real-time monitoring system, characterized in that: include: An acquisition module is used to obtain the working condition data of the cable to be monitored in real time, and perform dynamic normalization analysis on the working condition data based on the historical data of the cable to be monitored to obtain the corresponding cable change index; An evaluation module, configured to perform a fault evaluation on the operating condition data according to the cable change index to obtain corresponding cable evaluation data; The early warning module is used to generate a monitoring result corresponding to the cable to be monitored based on a preset early warning threshold and the cable evaluation data.

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 cable real-time 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 real-time 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 includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is enabled to execute the cable real-time monitoring method according to any one of claims 1 to 6.

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