Cable intermediate head full-state monitoring protection method, device, equipment and medium

Abstract

The invention discloses a cable intermediate head full-state monitoring protection method, device and equipment and a medium. The method comprises the following steps: acquiring cable temperature value fluctuation information of a detection node in a preset period and cable vibration amplitude fluctuation information in the preset period; calculating a cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and dividing abnormal tendency categories of the detection nodes according to the cable abnormal tendency characterization coefficient; and executing a corresponding cable abnormity judgment action according to the abnormity tendency category, and if a judgment result is abnormal, sending an early warning to a user. According to the invention, a self-adaptive detection mechanism is introduced, so that the data calculation amount is reduced and the monitoring efficiency is improved on the premise of ensuring the cable monitoring reliability.

Description

Technical Field

[0001] The present invention relates to the field of cable detection and protection, and particularly to a full-state monitoring and protection method, device, equipment and medium for cable joints. Background Art

[0002] The power grid is an infrastructure of modern society. In particular, the safety of transmission lines is closely related to people's livelihood and economy. If a transmission line fails, it will have an unpredictable and serious impact on the lives of the general public. The cable joint is a relatively weak part of the cable. To monitor the status of cable joints in real time, at present, at home and abroad, the Internet of Things technology is used to realize the online monitoring of the temperature and vibration status of cable joints, cooperate with the fault location system to achieve real-time positioning and abnormal alarm, and use artificial intelligence technology to analyze, evaluate and predict the status of cable joints, obtain comprehensive information in time, realize the pre-judgment alarm of abnormal states, and improve the repair efficiency.

[0003] However, in the actual process, in the face of the complex cable layout and massive monitoring data, the system operation volume of the existing technology is often too high, often resulting in too low detection efficiency, thus missing the best rescue time. Therefore, the present invention introduces an adaptive detection mechanism, dynamically adjusts the detection frequency according to the abnormal tendency category, optimizes the data acquisition and operation efficiency, and adopts multi-dimensional abnormal analysis, fuses the data of multiple nodes on the same line, combines the temperature / vibration time-domain curve fitting and discrete difference analysis, improves the reliability of abnormal determination, and then reduces the data operation volume while ensuring the reliability of cable monitoring in the face of massive monitoring data, and improves the monitoring efficiency. Summary of the Invention

[0004] The present invention provides a full-state monitoring and protection method, device, equipment and medium for cable joints, which reduces the data operation volume while ensuring the reliability of cable monitoring in the face of massive monitoring data, and improves the monitoring efficiency.

[0005] In a first aspect, an embodiment of the present invention provides a full-state monitoring and protection method for cable joints, including:

[0006] Obtain the cable temperature value fluctuation information within a preset period of a detection node and the cable vibration amplitude fluctuation information within the preset period;

[0007] According to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, calculate the cable abnormal tendency characterization coefficient, and divide the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient; the abnormal tendency category includes a strong abnormal tendency category and a weak abnormal tendency category;

[0008] Execute corresponding cable abnormal determination actions according to the abnormal tendency category. If the determination result is abnormal, send a warning to the user.

[0009] In an embodiment of the present invention, by obtaining the cable temperature value fluctuation information within a preset period of a detection node and the cable vibration amplitude fluctuation information within the preset period, calculating a cable abnormal tendency characterization coefficient, and classifying the abnormal tendency categories of the detection nodes based on this, it provides multi-dimensional data support for subsequent cable abnormality determination and provides an adjustment basis for subsequent dynamically adjusting the detection frequency; performing corresponding cable abnormality determination actions according to the abnormal tendency categories, and if the determination result is abnormal, issuing a warning, which can reduce the system operation amount and avoid the situation of system computing power overload. Compared with the prior art, when facing a large amount of monitoring data, this application reduces the data operation amount on the premise of ensuring the reliability of cable monitoring, thereby improving the monitoring efficiency.

[0010] Further, calculating the cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information includes:

[0011] Determining the cable temperature value and the cable temperature average value at each moment of the cable according to the cable temperature value fluctuation information;

[0012] Determining the cable vibration amplitude and the cable vibration amplitude average value at each moment of the cable according to the cable vibration amplitude fluctuation information;

[0013] Calculating the cable abnormal tendency characterization coefficient according to the cable temperature average value, the cable vibration amplitude average value, each cable temperature value, and each cable vibration amplitude, in combination with a preset first calculation formula.

[0014] In an embodiment of the present invention, by calculating the cable abnormal tendency characterization coefficient, it provides formula support for subsequent classifying the cable abnormal tendency categories, and the calculation process of the cable abnormal tendency characterization coefficient calculation formula incorporates the cable temperature and vibration conditions, evaluating the cable abnormal tendency from a multi-dimensional perspective, and strengthening the reliability of cable detection.

[0015] Further, classifying the abnormal tendency categories of the detection nodes according to the cable abnormal tendency characterization coefficient specifically is:

[0016] If the cable abnormal tendency characterization coefficient is greater than or equal to a preset first threshold, then the detection node is a strong abnormal tendency category;

[0017] If the cable abnormal tendency characterization coefficient is less than the first threshold, then the detection node is a weak abnormal tendency category.

[0018] In an embodiment of the present invention, by classifying the abnormal tendency categories of the detection nodes, it provides an adjustment basis for subsequent adjustment of the data monitoring frequency.

[0019] Further, performing corresponding cable abnormality determination actions according to the abnormal tendency categories, wherein,

[0020] If the detection node is of the strong abnormal tendency category, adjust the data detection frequencies of the detection node and the remaining nodes on the same-route cable according to the cable abnormal tendency characterization coefficient;

[0021] Perform abnormal fitting on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information respectively to obtain the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable;

[0022] Calculate the respective abnormal fitting characterization coefficients according to the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable;

[0023] Judge whether the cable intermediate joint corresponding to the detection node is abnormal according to the respective abnormal fitting characterization coefficients.

[0024] In the embodiment of the present invention, by adjusting the data monitoring frequency of relevant detection nodes for cables of the strong abnormal tendency category, the situations of missed reports and false reports are prevented, the detection accuracy is improved, and by calculating the abnormal fitting characterization coefficients, the scientific nature of the detection results is enhanced.

[0025] Further, perform corresponding cable abnormal determination actions according to the abnormal tendency category, wherein,

[0026] If the detection node is of the weak abnormal tendency category, perform abnormal fitting on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information respectively to obtain the temperature fitting value and vibration fitting value of the detection node;

[0027] Judge whether the cable intermediate joint corresponding to the detection node is abnormal according to the temperature fitting value and vibration fitting value of the detection node.

[0028] In the embodiment of the present invention, by maintaining the original detection frequency for cables of the weak abnormal tendency and without calculating the abnormal characterization coefficients when performing abnormal determination, the system workload is reduced, thereby improving the detection efficiency without sacrificing the accuracy of the detection results.

[0029] Further, the adjustment of the data detection frequencies of the detection node and the remaining nodes on the same-route cable according to the cable abnormal tendency characterization coefficient is specifically as follows:

[0030] When the cable abnormal tendency characterization coefficient is less than a preset second threshold, adjust the data detection frequencies of the detection node and the remaining nodes on the same-route cable to the first data detection frequency;

[0031] When the abnormal tendency characterization coefficient of the cable is greater than or equal to the second threshold and less than or equal to a preset third threshold, the data detection frequency of the detection node and the remaining nodes on the same-route cable is adjusted to the second data detection frequency; wherein, the second preset threshold is less than the third threshold.

[0032] When the abnormal tendency characterization coefficient of the cable is greater than the third threshold, the data detection frequency of the detection node and the remaining nodes on the same-route cable is adjusted to the third data detection frequency.

[0033] Wherein, the first data detection frequency, the second data detection frequency, and the third data detection frequency increase in turn from small to large and are all greater than the data detection frequency before adjustment.

[0034] In the embodiment of the present invention, by adjusting the data detection frequency of the detection node and the remaining nodes on the same-route cable according to the abnormal tendency characterization coefficient of the cable, the calculation amount can be reduced while ensuring the detection reliability, thereby improving the detection efficiency.

[0035] Further, calculating the abnormal fitting characterization coefficient according to the temperature fitting value and the vibration fitting value of the detection node and the remaining nodes on the same-route cable includes:

[0036] Determine the variance of the temperature fitting value of the corresponding cable according to the temperature fitting values of the detection node and the remaining nodes on the same-route cable.

[0037] Determine the variance of the vibration fitting value of the corresponding cable according to the vibration fitting values of the detection node and the remaining nodes on the same-route cable.

[0038] Calculate the abnormal fitting characterization coefficient according to the temperature fitting value, the vibration fitting value, the variance of the temperature fitting value, and the variance of the vibration fitting value, in combination with a preset second calculation formula.

[0039] In the embodiment of the present invention, by calculating the abnormal fitting characterization coefficient of the detection node, formula support is provided for the subsequent abnormal determination of cables with weak abnormal tendency categories.

[0040] In a second aspect, an embodiment of the present invention provides a full-state monitoring and protection device for cable joints, including a data acquisition module, a category division module, and an abnormal determination module, wherein:

[0041] The data acquisition module is used to acquire the cable temperature value fluctuation information within a preset period of the detection node and the cable vibration amplitude fluctuation information within a preset period.

[0042] The category division module is used to calculate the abnormal tendency characterization coefficient of the cable according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and divide the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient; the abnormal tendency category includes a strong abnormal tendency category and a weak abnormal tendency category;

[0043] The abnormal determination module is used to perform corresponding cable abnormal determination actions according to the abnormal tendency category. If the determination result is abnormal, a warning is sent to the user.

[0044] In the embodiment of the present invention, by obtaining the fluctuation information of the real-time temperature value and vibration amplitude value of the cable, the real-time state of the cable is monitored to provide real-time protection for the cable intermediate joint; by dividing the cable abnormal tendency category through the foregoing fluctuation information, a scientific division basis is provided for adjusting the data detection frequency according to different cable conditions in the future; different cable abnormal determination actions are performed according to different abnormal tendency categories, reducing the system operation amount, ensuring the reliability of cable abnormal detection and improving the detection efficiency of the system.

[0045] In a third aspect, an embodiment of the present invention provides a terminal device, including: a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete mutual communication through the communication bus;

[0046] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform the operations of the cable intermediate joint full-state monitoring and protection method as described in any one of the above.

[0047] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, and the computer-readable storage medium includes a stored computer program. When the computer program runs, it controls the device / device where the computer-readable storage medium is located to perform the cable intermediate joint full-state monitoring and protection method as described in any one of the above.

[0048] The above description is only an overview of the technical solutions of the embodiments of the present invention. In order to be able to understand the technical means of the embodiments of the present invention more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features, and advantages of the embodiments of the present invention more obvious and understandable, the following specifically illustrates the specific embodiments of the present invention. Description of the Drawings

[0049] Figure 1 It is a schematic diagram of a cable intermediate joint full-state monitoring and protection method provided by an embodiment of the present invention;

[0050] Figure 2 It is a logical determination diagram for dividing the abnormal tendency category of the detected cable provided by an embodiment of the present invention;

[0051] Figure 3 This is the logical decision diagram for determining whether there is an abnormality when the detected cable is in the strong abnormal tendency category provided by the embodiments of the present invention;

[0052] Figure 4 This is the logical decision diagram for determining whether there is an abnormality when the detected cable is in the weak abnormal tendency category provided by the embodiments of the present invention;

[0053] Figure 5 This is the structure diagram of a cable joint full - state monitoring and protection device provided by the embodiments of the present invention;

[0054] Figure 6 This is an example structure diagram of the cable joint full - state monitoring and protection device provided by the embodiments of the present invention. Specific embodiments

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] Embodiment 1:

[0057] As Figure 1 shown, a cable joint full - state monitoring and protection method provided by the embodiments of the present invention includes the following steps:

[0058] S11. Obtain the cable temperature value fluctuation information within a preset period of the detection node and the cable vibration amplitude fluctuation information within the preset period;

[0059] S12. Calculate the cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and divide the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient; the abnormal tendency category includes a strong abnormal tendency category and a weak abnormal tendency category;

[0060] S13. Execute corresponding cable abnormal determination actions according to the abnormal tendency category. If the determination result is abnormal, issue a warning to the user.

[0061] In an embodiment of the present invention, based on the cable status information obtained within a preset period, the determination of the cable abnormal tendency category is performed, and the detection frequency of the corresponding detection node is adjusted according to the cable abnormal tendency category, and different abnormal determination actions are executed. If the determination result of the corresponding cable joint is abnormal, a warning message is sent to the user. Compared with the prior art, in the embodiment of the present invention, more frequent and detailed monitoring actions are performed on the cables with obvious abnormal tendencies, thereby improving the reliability of the cable joint monitoring. At the same time, an adaptive mechanism is introduced to reduce the system workload in the cable joint monitoring process and improve the monitoring efficiency.

[0062] In this embodiment, step S11 is specifically as follows: the temperature value fluctuation information and the vibration amplitude fluctuation information of the detected cable are transmitted back by the detection nodes arranged on the cable surface within a preset period; the detection nodes include a temperature acquisition unit and a vibration amplitude acquisition unit; several detection nodes are arranged on the same cable, and each detection node corresponds to a cable joint.

[0063] In this embodiment, step S12 is specifically as follows: according to the cable temperature value fluctuation information, the cable temperature value and the cable temperature average value at each moment are determined; according to the cable vibration amplitude fluctuation information, the cable vibration amplitude and the cable vibration amplitude average value at each moment are determined; according to the cable temperature average value, the cable vibration amplitude average value, each cable temperature value and each cable vibration amplitude, combined with a preset first calculation formula, the cable abnormal tendency characterization coefficient is calculated; according to the cable abnormal tendency characterization coefficient, the abnormal tendency category of the detection node is divided.

[0064] Optionally, the embodiment of the present invention provides the following calculation formula as the preset first calculation formula:

[0065]

[0066] Wherein, D represents the cable abnormal tendency characterization coefficient, Ci represents the cable temperature value at the i-th moment, ΔC represents the average cable temperature value at each moment within a predetermined time period, Fi represents the cable vibration amplitude at the i-th moment, ΔF represents the average cable vibration amplitude at each moment within a predetermined time period, and T represents the predetermined time period.

[0067] Further, as Figure 2 described, the dividing of the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient is specifically as follows: if the cable abnormal tendency characterization coefficient is greater than or equal to the preset cable abnormal tendency characterization coefficient standard threshold, the detection node is a strong abnormal tendency category; if the cable abnormal tendency characterization coefficient is less than the cable abnormal tendency characterization coefficient standard threshold, the detection node is a weak abnormal tendency category.

[0068] Optionally, the standard threshold of the cable abnormal tendency characterization coefficient preset in the embodiment of the present invention is selected within the interval [0.2, 0.5].

[0069] Further, if the detection node is of a strong abnormal tendency category, according to the cable abnormal tendency characterization coefficient, adjust the data detection frequencies of the detection node and the remaining nodes on the same-route cable; respectively perform abnormal fitting on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information to obtain the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable; calculate the respective abnormal fitting characterization coefficients according to the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable; and determine whether the cable intermediate joint corresponding to the detection node is abnormal according to the respective abnormal fitting characterization coefficients.

[0070] In a specific implementation, the adjustment of the data detection frequencies of the detection node and the remaining nodes on the same-route cable is specifically as follows: when the cable abnormal tendency characterization coefficient is less than a preset second threshold, the data detection frequencies of the detection node and the remaining nodes on the same-route cable are adjusted to a first data detection frequency, and it is set that the first data frequency is 0.28 times the reference data frequency; when the cable abnormal tendency characterization coefficient is greater than or equal to the second threshold and less than or equal to a preset third threshold, the data detection frequencies of the detection node and the remaining nodes on the same-route cable are adjusted to a second data detection frequency, and it is set that the second data frequency is 0.37 times the reference data frequency; wherein, the second preset threshold is less than the third threshold; when the cable abnormal tendency characterization coefficient is greater than the third threshold, the data detection frequencies of the detection node and the remaining nodes on the same-route cable are adjusted to a third data detection frequency, and it is set that the third data frequency is 0.45 times the reference data frequency.

[0071] Optionally, in this embodiment, the second threshold is set to 1.1 times the standard threshold of the cable abnormal tendency characterization coefficient; the third threshold is set to 1.3 times the standard threshold of the cable abnormal tendency characterization coefficient.

[0072] It should be noted that for the setting of the reference data detection frequency, factors such as the usage situation of the cable, such as the usage frequency and the time-consuming of a single use, can be considered. In this embodiment, the reference data detection frequency is set to 1 time / month.

[0073] In a specific implementation, the abnormal fitting is respectively performed on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information to obtain the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable, specifically as follows: Obtain the cable temperature values and cable vibration amplitude data collected by the detection node; construct a rectangular coordinate system with time as the horizontal axis and the cable temperature values and cable vibration amplitudes as the vertical axes respectively; mark the coordinate points of the cable temperature values and cable vibration amplitudes at each moment in each of the rectangular coordinate systems; connect the coordinate points with a smooth curve to respectively obtain the cable temperature time-domain curve and the cable vibration amplitude time-domain curve, and respectively perform fitting with the data in the abnormal sample database to obtain the fitting values; the fitting values include temperature fitting values and vibration fitting values.

[0074] It should be noted that the data in the abnormal sample database is obtained by pre-storage. Pre-obtain the data detected by the detection modules in several cable lines with abnormalities, construct several abnormal cable temperature time-domain curves and abnormal cable vibration amplitude time-domain curves, and store them in the abnormal sample database. In addition, when performing fitting, the cable temperature time-domain curve is fitted with the corresponding several abnormal cable temperature time-domain curves, and the average value of the fitting degree is used as the temperature fitting value. Similarly, the vibration fitting value is obtained, which will not be elaborated here.

[0075] In a specific implementation, the abnormal fitting characterization coefficients are calculated according to the temperature fitting values and vibration fitting values of the detection node and the remaining nodes on the same-route cable, specifically as follows: Determine the variance of the temperature fitting value of the corresponding cable according to the temperature fitting values of the detection node and the remaining nodes on the same-route cable; determine the variance of the vibration fitting value of the corresponding cable according to the vibration fitting values of the detection node and the remaining nodes on the same-route cable; calculate the abnormal fitting characterization coefficient according to the temperature fitting value, the vibration fitting value, the variance of the temperature fitting value, and the variance of the vibration fitting value, in combination with a preset second calculation formula.

[0076] Optionally, the second calculation formula in this embodiment is:

[0077]

[0078] Among them, E represents the abnormal fitting characterization coefficient, Te represents the temperature fitting value, Pe represents the vibration fitting value, G1 represents the variance of the temperature fitting values corresponding to each detection node, G10 represents the temperature fitting value variance threshold, G2 represents the variance of the vibration fitting values corresponding to each detection node, and G20 represents the vibration fitting value variance threshold.

[0079] Optionally, G10 and G20 are obtained by pre-determination. Data detected by detection nodes in a number of cable lines with anomalies are pre-acquired, temperature fitting values and vibration fitting values of each detection module are determined, variance of the temperature fitting value and variance of the vibration fitting value corresponding to the cable line are solved, the mean value of the temperature fitting value variance is determined as the temperature fitting value variance threshold, and the vibration fitting value variance is determined as the vibration fitting value variance threshold.

[0080] In specific implementation, as Figure 3 shown, to determine whether the cable joint corresponding to the detection node is abnormal according to the respective abnormal fitting characterization coefficients, specifically: if there is an abnormal fitting characterization value corresponding to the detection node greater than the preset abnormal fitting characterization threshold, it is determined that the corresponding cable joint is abnormal; if there is an abnormal fitting characterization value corresponding to the detection node less than or equal to the preset abnormal fitting characterization threshold, it is determined that the corresponding cable joint is not abnormal.

[0081] Optionally, the setting process of the abnormal fitting characterization threshold is specifically as follows: Data detected by detection nodes in a number of cable lines with anomalies are pre-acquired, fitting values corresponding to the detection nodes are obtained, the mean value of the temperature fitting value ΔTe is solved, and the mean value of the vibration fitting value ΔPe is solved; the abnormal fitting characterization value Em in the case of Te = ΔTe and Pe = ΔPe is calculated, and the abnormal fitting characterization threshold E0 = 0.85Em is set.

[0082] Further, if the detection node is of the weak abnormal tendency category, abnormal fitting is respectively performed on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information to obtain the temperature fitting value and the vibration fitting value of the detection node; according to the temperature fitting value and the vibration fitting value of the detection node, it is determined whether the cable joint corresponding to the detection node is abnormal.

[0083] In specific implementation, the abnormal fitting process for cables of the weak abnormal tendency category is the same as that for cables of the strong abnormal tendency category above, and will not be elaborated here.

[0084] In specific implementation, as Figure 4 shown, to determine whether the cable joint corresponding to the detection node is abnormal according to the temperature fitting value and the vibration fitting value of the detection node, specifically: threshold comparison is performed on the temperature fitting value and the vibration fitting value corresponding to the detection node. If the temperature fitting value of the detection node is greater than the preset temperature fitting value standard threshold or its vibration fitting value is greater than the preset vibration fitting value threshold, it is determined that the corresponding cable joint is abnormal; if both the temperature fitting value and the vibration fitting value of the detection node are less than or equal to the corresponding preset thresholds, it is determined that the corresponding cable joint is not abnormal.

[0085] Optionally, the standard threshold of the temperature fitting value is preset. Set \(K = \Delta Te\times\alpha\), where \(K\) represents the standard threshold of the temperature fitting value, \(\alpha\) represents the first precision coefficient, and \(0.85\lt\alpha\lt0.95\); the standard threshold of the vibration fitting value is preset. Set \(Q = \Delta Pe\times\beta\), where \(Q\) represents the standard threshold of the vibration fitting value, and \(\beta\) represents the second precision coefficient, \(0.8\lt\beta\lt0.9\).

[0086] In this embodiment, step S13 is specifically: if it is determined that there is an abnormality in the corresponding cable joint, a warning message is sent.

[0087] Preferably, the warning message includes the position information of the abnormal cable joint and the name of the abnormal line.

[0088] In a specific implementation, corresponding serial number tags can be set for different detection nodes. When transmitting data, the serial number tags can be transmitted synchronously. Different serial number tags correspond to different intermediate head position information and abnormal line names in advance.

[0089] Embodiment 2:

[0090] As Figure 5 shown, this embodiment provides a full-state monitoring and protection device for cable joints, including a data acquisition module 001, a category division module 002, and an abnormality determination module 003. Among them,

[0091] The data acquisition module 001 is used to acquire the cable temperature value fluctuation information within a preset period of the detection node and the cable vibration amplitude fluctuation information within a preset period;

[0092] The category division module 002 is used to calculate the cable abnormality tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and divide the abnormality tendency category of the detection node according to the cable abnormality tendency characterization coefficient; the abnormality tendency category includes a strong abnormality tendency category and a weak abnormality tendency category;

[0093] The abnormality determination module 003 is used to perform corresponding cable abnormality determination actions according to the abnormality tendency category. If the determination result is abnormal, a warning is sent to the user.

[0094] To better illustrate the working principle and step flow of this embodiment, refer to Figure 6 an example. As Figure 6 shown, this example includes an explosion-proof bag 101, a detection module 102, a cloud receiving module 103, a cloud analysis module 104, and a warning module 105. Among them,

[0095] The explosion-proof bag 101 is used to cover the surface of the cable and includes a flame-retardant layer and a buffer explosion-proof net arranged outside the flame-retardant layer;

[0096] The detection module 102 is used to obtain the cable temperature value and the cable vibration amplitude, and transmit the acquired data to the cloud receiving module 103 according to a predetermined period. It includes a temperature acquisition unit and a vibration acquisition unit;

[0097] The cloud receiving module 103 is used to calculate the cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation situation and the cable vibration amplitude fluctuation situation within a predetermined period, so as to divide the abnormal tendency categories of the cables detected by the detection module based on the cable abnormal tendency characterization coefficient;

[0098] The cloud analysis module 104 is used to control the detection module 101 according to the abnormal tendency category of the cable and analyze the data detected by the detection module 101;

[0099] The warning module 105 is used to send a warning message according to the analysis result of the cloud analysis module 104.

[0100] In this embodiment, the explosion-proof bag 101 is wrapped around the cable middle head and a part of the cable on both sides thereof, and includes a flame-retardant layer and a buffer explosion-proof net arranged outside the flame-retardant layer. Among them, the flame-retardant layer includes a glass fiber skeleton material and a halogen-free flame-retardant composite material, and the buffer explosion-proof net is composed of materials with buffer explosion-proof performance.

[0101] Preferably, the two materials involved in the flame-retardant layer are used in combination. After adding a toughening agent and a coupling agent to the two materials and mixing and extruding them, a uniform composite is obtained for processing and forming.

[0102] Preferably, the buffer explosion-proof net can be made of multi-level nanostructured aluminum alloy, which has high expansibility, high ductility and high strength, and wraps around the periphery of the flame-retardant layer to offset the impact force brought by the explosion.

[0103] In this embodiment, the cloud receiving module 103 is connected to the detection module 102.

[0104] In this embodiment, the cloud analysis module 104 is respectively connected to the detection module 102 and the cloud receiving module 103, and is used to control the detection module 101 according to the abnormal tendency category of the cable and analyze the data detected by the detection module 101. Specifically:

[0105] Adjust the data detection frequency of the detection module 102 and the remaining detection modules 102 on the same-line cable based on the cable abnormal tendency characterization coefficient, perform abnormal fitting based on the data collected by each detection module 102, and calculate the abnormal fitting characterization value based on the discrete difference between the fitting value corresponding to the detection module 102 and the fitting value corresponding to the remaining detection modules 102, so as to determine whether the cable is abnormal;

[0106] Alternatively, perform anomaly fitting based on the data collected by the detection module 102 at every predetermined period, and determine whether there is an anomaly in the cable based on the fitting value corresponding to the detection module.

[0107] In this embodiment, the warning module 105 is connected to the cloud analysis module 104 and is configured to send a warning message according to the analysis result of the cloud analysis module 104.

[0108] The more detailed working principle and step flow of this embodiment can, but are not limited to, refer to the relevant records in Embodiment 1.

[0109] This embodiment provides a full-state monitoring and protection device for cable joints. The data acquisition module 001 acquires the cable temperature value fluctuation information and the cable vibration value fluctuation information within a preset period of the cable, providing real-time data support for subsequent monitoring of the cable joint state, so as to perform 24-hour full-state monitoring of the cable joint and timely give early warnings and protection for cable anomalies; the category division module 002 scientifically and accurately divides cables in different states, providing a basis for subsequent execution of different anomaly determination actions; the anomaly determination module 003 performs different anomaly determination actions according to the cable anomaly tendency category. In particular, for cables with a strong anomaly tendency category, higher-frequency and detailed detection and anomaly determination are performed, and for cables with a weak anomaly tendency, a more concise determination action is performed, thereby reducing the device operation amount while ensuring system reliability, improving the detection efficiency. Further, if the detection result is abnormal, a warning message is sent. The faster detection speed of this embodiment ensures a more efficient cable rescue operation, guarantees the safety of the cable, and reduces the risk of accident spread.

[0110] Embodiment 3:

[0111] This embodiment provides a terminal device, including: a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete mutual communication through the communication bus.

[0112] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations of the full-state monitoring and protection method for cable joints as described in any one of the above.

[0113] Embodiment 4:

[0114] An embodiment of the present invention provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device / equipment where the computer-readable storage medium is located to execute the full-state monitoring and protection method for cable joints as described in any one of the above.

[0115] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above various methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0116] The specific embodiments described above further elaborate on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only for the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. In particular, for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A full-state monitoring and protection method for cable joints, characterized in that Including: Obtaining the cable temperature value fluctuation information within a preset period of the detection node and the cable vibration amplitude fluctuation information within the preset period; Calculating a cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and dividing the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient; The abnormal tendency category includes a strong abnormal tendency category and a weak abnormal tendency category; Performing corresponding cable abnormal determination actions according to the abnormal tendency category. If the determination result is abnormal, a warning is sent to the user.

2. The all-state monitoring and protection method for a cable joint as described in claim 1, characterized in that The calculating the cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information includes: Determining the cable temperature value and the cable temperature average value at each moment of the cable according to the cable temperature value fluctuation information; Determining the cable vibration amplitude and the cable vibration amplitude average value at each moment of the cable according to the cable vibration amplitude fluctuation information; Calculating the cable abnormal tendency characterization coefficient according to the cable temperature average value, the cable vibration amplitude average value, each cable temperature value and each cable vibration amplitude, in combination with a preset first calculation formula.

3. A full-state monitoring and protection method for cable joints, as described in claim 1, wherein The dividing the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient is specifically: If the cable abnormal tendency characterization coefficient is greater than or equal to a preset first threshold, the detection node is of the strong abnormal tendency category; If the cable abnormal tendency characterization coefficient is less than the first threshold, the detection node is of the weak abnormal tendency category.

4. The full-state monitoring and protection method for a cable joint as claimed in claim 1, characterized in that, The performing corresponding cable abnormal determination actions according to the abnormal tendency category, wherein, If the detection node is of the strong abnormal tendency category, adjusting the data detection frequency of the detection node and the remaining nodes on the same-route cable according to the cable abnormal tendency characterization coefficient; Performing abnormal fitting on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information respectively to obtain the temperature fitting value and the vibration fitting value of the detection node and the remaining nodes on the same-route cable; Calculating the respective abnormal fitting characterization coefficients according to the temperature fitting value and the vibration fitting value of the detection node and the remaining nodes on the same-route cable; Judging whether the cable intermediate joint corresponding to the detection node is abnormal according to the respective abnormal fitting characterization coefficients.

5. A full-state monitoring and protection method for cable joints, as described in claim 1, wherein The performing corresponding cable abnormal determination actions according to the abnormal tendency category, wherein, If the detection node is of the weak abnormal tendency category, performing abnormal fitting on the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information respectively to obtain the temperature fitting value and the vibration fitting value of the detection node; Judging whether the cable intermediate joint corresponding to the detection node is abnormal according to the temperature fitting value and the vibration fitting value of the detection node.

6. The full-state monitoring and protection method for the cable joint as claimed in claim 4, wherein, The adjusting the data detection frequency of the detection node and the remaining nodes on the same-route cable according to the cable abnormal tendency characterization coefficient is specifically: When the cable abnormal tendency characterization coefficient is less than a preset second threshold, adjusting the data detection frequency of the detection node and the remaining nodes on the same-route cable to a first data detection frequency; When the abnormal tendency characterization coefficient of the cable is greater than or equal to the second threshold and less than or equal to a preset third threshold, the data detection frequency of the detection node and the remaining nodes on the same-route cable is adjusted to the second data detection frequency; wherein, the second preset threshold is less than the third threshold; When the abnormal tendency characterization coefficient of the cable is greater than the third threshold, the data detection frequency of the detection node and the remaining nodes on the same-route cable is adjusted to the third data detection frequency; Wherein, the first data detection frequency, the second data detection frequency, and the third data detection frequency increase in sequence from small to large and are all greater than the data detection frequency before adjustment.

7. The all-state monitoring and protection method for a cable joint as described in claim 4, characterized in that The calculating the abnormal fitting characterization coefficient according to the temperature fitting value and the vibration fitting value of the detection node and the remaining nodes on the same-route cable includes: Determining the variance of the temperature fitting value of the corresponding cable according to the temperature fitting value of the detection node and the remaining nodes on the same-route cable; Determining the variance of the vibration fitting value of the corresponding cable according to the vibration fitting value of the detection node and the remaining nodes on the same-route cable; Calculating the abnormal fitting characterization coefficient according to the temperature fitting value, the vibration fitting value, the variance of the temperature fitting value, and the variance of the vibration fitting value, in combination with a preset second calculation formula.

8. A full-state monitoring and protection device for cable joints, characterized in that, Including a data acquisition module, a category division module, and an abnormality determination module, wherein: The data acquisition module is used to acquire the cable temperature value fluctuation information within a preset period of the detection node and the cable vibration amplitude fluctuation information within a preset period; The category division module is used to calculate the cable abnormal tendency characterization coefficient according to the cable temperature value fluctuation information and the cable vibration amplitude fluctuation information, and divide the abnormal tendency category of the detection node according to the cable abnormal tendency characterization coefficient; the abnormal tendency category includes a strong abnormal tendency category and a weak abnormal tendency category; The abnormality determination module is used to perform corresponding cable abnormality determination actions according to the abnormal tendency category. If the determination result is abnormal, a warning is sent to the user.

9. A terminal device, characterized in that, Including: A processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete mutual communication through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations of the cable intermediate joint full-state monitoring and protection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device / device where the computer-readable storage medium is located to execute the cable intermediate joint full-state monitoring and protection method according to any one of claims 1 to 7.

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