Data adaptive matching cable abnormal vibration early warning system and method

By matching and updating with the historical vibration data in the database and detecting and adjusting within the preset period, the false alarm problem caused by external interference in the existing cable abnormal vibration warning technology is solved, which improves the recognition accuracy and reduces the false alarm rate.

CN119538136APending Publication Date: 2025-02-28GUANGZHOU PANYU CABLE WORKS
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Patent Information

Application Number
CN202411457117.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

Existing cable abnormal vibration warning technology is susceptible to interference from external factors, resulting in low information false alarms and early warning accuracy.

Method used

By acquiring the initial vibration threshold and vibration data, matching with the historical vibration data in the database is performed, threshold values ​​are updated, and abnormal vibration detection and threshold adjustment are performed during the preset update period.

Benefits of technology

It improves the accuracy of abnormal vibration recognition of cables, reduces the false alarm rate, and saves subsequent labor processing costs.

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Patent Text Reader

Abstract

The embodiment of the invention discloses a data adaptive matching cable abnormal vibration early warning system and method, and the method comprises the steps: obtaining an initial vibration threshold value and vibration data detected in a preset time, carrying out the matching processing of the vibration data and a plurality of historical vibration data, and carrying out the early warning of the abnormal vibration of a cable when there is matched historical vibration data. And updating the initial vibration threshold value to a historical vibration threshold value associated with the historical vibration data, when the matched historical vibration data does not exist, performing cable abnormal vibration detection based on the initial vibration threshold value, and after the detection time reaches a preset updating period, determining abnormal vibration early warning data in the preset updating period. And adjusting the initial vibration threshold value based on the abnormal vibration early warning data to obtain an adjusted vibration threshold value, and adding the vibration data and the adjusted vibration threshold value to a database. According to the scheme, the abnormal vibration threshold value of the cable is adjusted in a self-adaptive mode, the recognition accuracy of the abnormal vibration of the cable can be improved, the false alarm rate is reduced, and then the subsequent manpower processing cost is saved.
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Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of cable abnormality warning technology, and in particular to a data adaptive matching cable abnormal vibration warning system and method. Background Art

[0002] Abnormal cable vibration has many effects on cables and their connections, including mechanical damage, electromagnetic interference, signal distortion, reduced transmission quality, power system failure, communication interruption, etc. For example, abnormal cable vibration can cause mechanical damage such as loosening of cable joints and broken wire cores, affecting the safety and reliability of the cable. Abnormal cable vibration can also cause mechanical damage and accelerated aging of cable insulation layers, sheaths and other components, thereby affecting the cable's pressure resistance, insulation and conductivity. These problems not only affect the performance and safety of the cable, but also increase maintenance costs and shorten the service life of the cable. Therefore, sufficient attention should be paid to the problem of abnormal cable vibration, and appropriate anti-vibration measures should be taken to reduce its negative impact.

[0003] Among the existing cable abnormal vibration warning methods, most of them determine whether the cable has abnormal vibration by setting up vibration sensors to collect corresponding values. This method is easily interfered by external factors, resulting in false information and low warning accuracy. Summary of the invention

[0004] The embodiments of the present invention provide a data adaptive matching cable abnormal vibration warning system and method, which solves the problem that the existing cable abnormal vibration warning technology is easily interfered by external factors, resulting in false information and low warning accuracy. It can improve the recognition accuracy of cable abnormal vibration, reduce the false alarm rate, and thus save subsequent manpower processing costs.

[0005] In a first aspect, an embodiment of the present invention provides a data adaptive matching cable abnormal vibration early warning method, comprising:

[0006] Acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time, and match the vibration data with a plurality of historical vibration data in a database;

[0007] In the case where there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning;

[0008] In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for abnormal cable vibration warning.

[0009] Optionally, the vibration data includes multiple vibration amplitude values ​​and vibration frequency values, and matching the vibration data with multiple historical vibration data in a database includes:

[0010] respectively calculating vibration amplitude similarities between the plurality of vibration amplitude values ​​and a plurality of historical vibration amplitude values ​​in each historical vibration data, and respectively calculating vibration frequency similarities between the plurality of vibration frequency values ​​and a plurality of historical vibration frequency values ​​in each historical vibration data;

[0011] The matching processing result is determined based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data.

[0012] Optionally, the determining of the matching processing result based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data includes:

[0013] When the vibration amplitude similarity corresponding to the historical vibration data is greater than the preset amplitude similarity and the vibration frequency similarity is greater than the preset frequency similarity, it is determined that the vibration data successfully matches the historical vibration data; otherwise, it is determined that the vibration data fails to match the historical vibration data.

[0014] Optionally, before acquiring the initial vibration threshold and the vibration data detected by the vibration detection device within a preset time, the method further includes:

[0015] The vibration threshold is initialized according to the pre-stored vibration comprehensive evaluation standard value to obtain an initial vibration threshold, wherein the pre-stored vibration comprehensive evaluation standard value is calculated based on a standard vibration amplitude and a standard vibration frequency.

[0016] Optionally, the determining the abnormal vibration warning data within the preset update period includes:

[0017] Determine the total number of abnormal vibration warnings within the preset update period and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning, and determine the total number of abnormal vibration warnings and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning as abnormal vibration warning data.

[0018] Optionally, adjusting the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold includes:

[0019] When the total number of abnormal vibration warnings is greater than a preset number, calculating an average value of each of the abnormal vibration comprehensive evaluation values ​​and a difference between the average value and the initial vibration threshold, determining an adjustment value of the initial vibration threshold according to the difference, and adjusting the initial vibration threshold according to the adjustment value to obtain an adjusted vibration threshold;

[0020] When the total number of abnormal vibration warnings is zero, the comprehensive vibration evaluation value at each time point in the preset update period is obtained, and the initial vibration threshold is adjusted according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain an adjusted vibration threshold.

[0021] Optionally, the adjusting the initial vibration threshold according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain the adjusted vibration threshold includes:

[0022] Determine the preset numerical intervals into which the vibration comprehensive evaluation values ​​at each time point within the preset update period fall respectively, and determine the preset numerical interval into which the vibration comprehensive evaluation values ​​fall the most;

[0023] The initial vibration threshold is adjusted to the preset vibration threshold corresponding to the preset value interval that falls the most, and is determined as the adjusted vibration threshold.

[0024] In a second aspect, an embodiment of the present invention further provides a data adaptive matching cable abnormal vibration early warning system, comprising:

[0025] An acquisition module, used to acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time;

[0026] A matching processing module, used for matching the vibration data with a plurality of historical vibration data in a database;

[0027] A threshold updating module, used for updating the initial vibration threshold to a historical vibration threshold associated with the historical vibration data, in case there is matching historical vibration data, so as to be used for abnormal cable vibration warning;

[0028] an abnormality detection module, used for performing abnormal vibration detection of the cable based on the initial vibration threshold in the absence of matching historical vibration data;

[0029] The threshold updating module is further used to determine abnormal vibration warning data within the preset update period after the detection time reaches the preset update period, and adjust the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold;

[0030] A data adding module is used to add the vibration data and the adjusted vibration threshold to the database for use in abnormal cable vibration warning.

[0031] In a third aspect, an embodiment of the present invention further provides a data adaptive matching cable abnormal vibration early warning device, the device comprising:

[0032] one or more processors;

[0033] a storage device for storing one or more programs,

[0034] When the one or more programs are executed by the one or more processors, the one or more processors implement the data adaptive matching cable abnormal vibration early warning method described in an embodiment of the present invention.

[0035] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions, which, when executed by a computer processor, are used to execute a data adaptive matching cable abnormal vibration early warning method described in an embodiment of the present invention.

[0036] In an embodiment of the present invention, an initial vibration threshold and vibration data detected by a vibration detection device within a preset time are obtained, and the vibration data is matched with a plurality of historical vibration data in a database. When there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data for use in cable abnormal vibration warning. When there is no matching historical vibration data, cable abnormal vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within a preset update period is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for use in cable abnormal vibration warning. This solution solves the problem that the existing cable abnormal vibration warning technology is easily interfered by external factors, resulting in false alarms and low warning accuracy by adaptively adjusting the cable abnormal vibration threshold, and can improve the recognition accuracy of cable abnormal vibration, reduce the false alarm rate, and thus save subsequent manpower processing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flow chart of a data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention;

[0038] Figure 2 A flowchart of another data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention;

[0039] Figure 3 A flowchart of another data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention;

[0040] Figure 4 A module structure block diagram of a data adaptive matching cable abnormal vibration early warning system provided by an embodiment of the present invention;

[0041] Figure 5 A schematic structural diagram of a data adaptive matching cable abnormal vibration early warning device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention, rather than to limit the embodiments of the present invention. It is also necessary to explain that, for ease of description, only parts related to the embodiments of the present invention are shown in the accompanying drawings, rather than all structures.

[0043] The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and or or" in the specification and claims represents at least one of the connected objects, and the character "or" generally indicates that the objects associated before and after are in an "or" relationship.

[0044] The embodiment of the present application provides a data adaptive matching cable abnormal vibration early warning method, which can be applied to the scene of detecting abnormal cable vibration. The embodiment of the present application provides a data adaptive matching cable abnormal vibration early warning method, and the execution subject of each step can be a computer device, which refers to any electronic device with data calculation, processing and storage capabilities, such as mobile phones, PCs (Personal Computers), tablet computers and other terminal devices, and can also be servers and other devices, which are not limited in the embodiment of the present application.

[0045] Figure 1 A flowchart of a data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention, such as Figure 1As shown, specifically including:

[0046] Step S101 : acquiring an initial vibration threshold and vibration data detected by a vibration detection device within a preset time, and matching the vibration data with a plurality of historical vibration data in a database.

[0047] Among them, the initial vibration threshold is used to characterize the standard threshold initially used to detect whether the vibration of the cable is abnormal. The vibration detection device can be a device for detecting various vibration-related data of the cable. The preset time can be a period of time pre-set according to actual conditions. The vibration data can be data related to the vibration of the cable. The database is a warehouse that organizes, stores and manages data according to the data structure. The historical vibration data is used to characterize the vibration data of the cable recorded before the preset time. In one embodiment, it is determined whether the multiple vibration values ​​in the vibration data are the same as the corresponding multiple vibration values ​​in the historical vibration data. If they are the same, it is determined that the match is successful. Optionally, the vibration data includes multiple vibration amplitude values ​​and vibration frequency values. A matching processing method can be to calculate the vibration amplitude similarity of the multiple vibration amplitude values ​​and the multiple historical vibration amplitude values ​​in each historical vibration data, respectively, and calculate the vibration frequency similarity of the multiple vibration frequency values ​​and the multiple historical vibration frequency values ​​in each historical vibration data, and determine the matching processing result based on the vibration amplitude similarity and vibration frequency similarity corresponding to each historical vibration data. By calculating the similarity between the vibration data and the historical vibration data to determine the matching result, the rationality and accuracy of the matching result can be improved.

[0048] Optionally, before obtaining the initial vibration threshold and the vibration data detected by the vibration detection device within a preset time, the vibration threshold is initialized according to the pre-stored vibration comprehensive evaluation standard value to obtain the initial vibration threshold, and the pre-stored vibration comprehensive evaluation standard value is calculated based on the standard vibration amplitude and the standard vibration frequency. An exemplary example may be that the standard vibration amplitude is 2mm / s, the standard vibration frequency is 100HZ, the preset amplitude intervals are amplitude interval 1 [0, 1.8], amplitude interval 2 (1.8, 4.5], amplitude interval 3 (4.5, 11.2], amplitude interval 4 (11.2, 18.6], and the corresponding vibration amplitude evaluation values ​​are 20, 40, 60, and 80, respectively, and the preset frequency intervals are frequency interval 1 [0, 50], frequency interval 2 (50, 150], frequency interval 3 (150, 300], frequency interval 4 (300, 450], and the corresponding vibration frequency evaluation values ​​are 20, 40, 60, and 80, respectively, and the standard vibration amplitude and standard vibration frequency corresponding vibration amplitude evaluation values ​​and The vibration frequency evaluation value is 40, the vibration amplitude evaluation value and the vibration frequency evaluation value are superimposed to obtain a vibration comprehensive evaluation standard value of 80, the vibration comprehensive evaluation value is stored in the storage area to obtain a pre-stored vibration comprehensive evaluation value, and when initializing, the pre-stored vibration comprehensive evaluation value is determined as the initial vibration threshold. In another embodiment, a method for determining a pre-stored vibration comprehensive evaluation standard value may be to query the corresponding amplitude evaluation value mapping table and frequency evaluation value mapping table according to the standard vibration amplitude and the standard vibration frequency to obtain a standard vibration amplitude evaluation value and a standard vibration frequency amplitude evaluation value, and multiply the standard vibration amplitude evaluation value and the standard vibration frequency amplitude evaluation value with the corresponding preset weights and superimpose them to obtain a pre-stored vibration comprehensive evaluation standard value.

[0049] Step S102: When there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning.

[0050] Among them, the historical vibration threshold can be the vibration threshold used by the cable abnormal vibration warning system when the historical vibration data was previously monitored. After the vibration data is matched with multiple historical vibration data in the database, if there is matching historical vibration data, the historical vibration threshold associated with the historical vibration data matching the vibration data is determined, and the initial vibration threshold is updated to the historical vibration threshold for cable abnormal vibration warning. An illustrative example can be that the historical vibration data a successfully matches the vibration data, the historical vibration threshold associated with the historical vibration data a is 45, and the initial vibration threshold is 40, then the initial vibration threshold is updated to 45, and when performing abnormal cable vibration detection, the detected vibration comprehensive evaluation value is compared with the updated vibration threshold to determine whether to issue an early warning.

[0051] Step S103: In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined.

[0052] Among them, the detection time is used to characterize the duration of the system for abnormal vibration detection of the cable. The preset update cycle can be the interval time for each update of the preset vibration threshold. The abnormal vibration warning data can be the relevant data when the abnormal vibration of the cable is detected and the warning is issued. Optionally, a method for determining the abnormal vibration warning data can be to determine the total number of abnormal vibration warnings within the preset update cycle and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning, and determine the total number of abnormal vibration warnings and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning as abnormal vibration warning data. An exemplary example can be that the preset update cycle is 12 hours, the cable abnormal vibration detection is performed every 1 hour, the number of abnormal vibration warnings within 12 hours is 2 times, and the comprehensive evaluation values ​​of abnormal vibration at each abnormal vibration warning are 100 and 120 respectively, then the number of abnormal vibration warnings is 2 times, and the comprehensive evaluation values ​​of abnormal vibration are 100 and 120 as abnormal vibration warning data. In another embodiment, the total number of abnormal vibration warnings within the preset update cycle and the comprehensive evaluation values ​​of vibration at each time point within the preset update cycle are obtained, and the total number of abnormal vibration warnings and the comprehensive evaluation values ​​of vibration at each time point within the preset update cycle are determined as abnormal vibration warning data.

[0053] Step S104: adjusting the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and adding the vibration data and the adjusted vibration threshold to the database for abnormal cable vibration warning.

[0054] Among them, the adjustment vibration threshold is used to characterize the value obtained after adjusting the initial vibration threshold. After determining the abnormal vibration warning data within the preset update period, the initial vibration threshold is adjusted by the abnormal vibration warning data to obtain the adjusted vibration threshold, and the vibration data obtained within the preset time and the adjusted vibration threshold are added to the database for subsequent matching processing of vibration data. In one embodiment, the adjustment value of the initial vibration threshold is determined according to the abnormal vibration warning data, and the initial vibration threshold is superimposed with the adjustment value to obtain the adjusted vibration threshold. Optionally, a method for adjusting the initial vibration threshold may be that when the total number of abnormal vibration warnings is greater than the preset number, the average value of each abnormal vibration comprehensive evaluation value and the difference between the average value and the initial vibration threshold are calculated, the adjustment value of the initial vibration threshold is determined according to the difference, and the initial vibration threshold is adjusted according to the adjustment value to obtain the adjusted vibration threshold, when the total number of abnormal vibration warnings is zero, the vibration comprehensive evaluation value of each time point within the preset update period is obtained, and the initial vibration threshold is adjusted according to the vibration comprehensive evaluation value of each time point within the preset update period to obtain the adjusted vibration threshold. Too many abnormal vibration warnings or no warnings at all indicate that the vibration threshold is unreasonable and needs further adjustment. By adjusting the initial threshold based on the number of abnormal vibration warnings and the data at the time of the warning, the rationality and accuracy of the vibration threshold can be ensured, the recognition accuracy of the cable abnormal vibration warning can be improved, and the false alarm rate can be reduced.

[0055] As can be seen from the above, the initial vibration threshold and the vibration data detected by the vibration detection device within a preset time are obtained, and the vibration data is matched with multiple historical vibration data in the database. When there is matching historical vibration data, the initial vibration threshold is updated to the historical vibration threshold associated with the historical vibration data for cable abnormal vibration warning. When there is no matching historical vibration data, cable abnormal vibration detection is performed based on the initial vibration threshold, and after the detection time reaches the preset update cycle, the abnormal vibration warning data within the preset update cycle is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for cable abnormal vibration warning. This solution solves the problem that the existing cable abnormal vibration warning technology is easily interfered by external factors, resulting in false information and low warning accuracy by adaptively adjusting the cable abnormal vibration threshold. It can improve the recognition accuracy of cable abnormal vibration, reduce the false alarm rate, and save subsequent manpower processing costs.

[0056] Figure 2 A flowchart of another data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention provides a specific method of optional matching processing, such as Figure 2 As shown, specifically including:

[0057] Step S201: Acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time.

[0058] Step S202, respectively calculating the vibration amplitude similarity between the multiple vibration amplitude values ​​and the multiple historical vibration amplitude values ​​in each historical vibration data, respectively calculating the vibration frequency similarity between the multiple vibration frequency values ​​and the multiple historical vibration frequency values ​​in each historical vibration data, and determining the matching processing result based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data.

[0059] The vibration amplitude similarity may be the overall similarity between the vibration amplitude value in the vibration data and the historical vibration amplitude value in the historical vibration data. The vibration frequency similarity may be the overall similarity between the vibration frequency value in the vibration data and the historical vibration frequency value in the historical vibration data. Optionally, a method for determining the matching processing result may be that when the vibration amplitude similarity corresponding to the historical vibration data is greater than the preset amplitude similarity and the vibration frequency similarity is greater than the preset frequency similarity, it is determined that the vibration data and the historical vibration data are successfully matched, otherwise, it is determined that the vibration data and the historical vibration data are unmatched. An exemplary example may be that the preset amplitude similarity is 95%, the preset frequency similarity is 96%, the vibration amplitude values ​​in the vibration data are 1.5mm / s, 1.4mm / s, and 1.8mm / s, respectively, and the vibration frequency values ​​are 50HZ, 55HZ, and 60HZ, respectively, the historical vibration amplitude values ​​in the historical vibration data a are 1.5mm / s, 1.4mm / s, and 1.7mm / s, respectively, and the historical vibration frequency values ​​are 49HZ, 54HZ, and 59HZ, respectively, and it is calculated that the vibration amplitude similarity of multiple vibration amplitude values ​​and multiple historical vibration amplitude values ​​in the historical vibration data a is 97%, and the vibration frequency similarity of multiple vibration frequency values ​​and multiple historical vibration frequency values ​​in the historical vibration data a is 98%, the vibration amplitude similarity corresponding to the historical vibration data a is greater than the preset amplitude similarity and the vibration frequency similarity is greater than the preset frequency similarity, that is, the historical vibration data a matches the vibration data successfully. In another embodiment, the vibration amplitude similarity and the vibration frequency similarity of the historical vibration data are multiplied by the corresponding preset weights and superimposed to obtain a comprehensive vibration similarity. If the comprehensive vibration similarity is greater than the preset similarity, the match is determined to be successful, otherwise, the match is determined to be unsuccessful.

[0060] Step S203: When there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning.

[0061] Step S204: In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined.

[0062] Step S205: adjusting the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and adding the vibration data and the adjusted vibration threshold to the database for abnormal cable vibration warning.

[0063] As can be seen from the above, the vibration amplitude similarity between multiple vibration amplitude values ​​and multiple historical vibration amplitude values ​​in each historical vibration data is calculated respectively, and the vibration frequency similarity between multiple vibration frequency values ​​and multiple historical vibration frequency values ​​in each historical vibration data is calculated respectively, and the matching processing result is determined based on the vibration amplitude similarity and vibration frequency similarity corresponding to each historical vibration data. This solution determines the matching result by calculating the similarity between the vibration data and the historical vibration data, which can improve the rationality and accuracy of the matching result.

[0064] Figure 3 A flowchart of another data adaptive matching cable abnormal vibration early warning method provided by an embodiment of the present invention provides an optional specific method for adjusting the initial vibration threshold, such as Figure 3 As shown, specifically including:

[0065] Step S301 : acquiring an initial vibration threshold and vibration data detected by a vibration detection device within a preset time, and matching the vibration data with a plurality of historical vibration data in a database.

[0066] Step S302: When there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning.

[0067] Step S303: In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined.

[0068] Step S304: When the total number of abnormal vibration warnings is greater than a preset number, calculate the average value of each of the abnormal vibration comprehensive evaluation values ​​and the difference between the average value and the initial vibration threshold, determine the adjustment value of the initial vibration threshold according to the difference, and adjust the initial vibration threshold according to the adjustment value to obtain the adjusted vibration threshold.

[0069] Among them, after determining the total number of abnormal vibration warnings within the preset update cycle and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning, the total number of abnormal vibration warnings is compared with the preset number, and when the total number of abnormal vibration warnings is greater than the preset number, the average value of each abnormal vibration comprehensive evaluation value and the difference between the average value and the initial vibration threshold are calculated, and the adjustment value of the initial vibration threshold is determined according to the difference, and the initial vibration threshold is adjusted according to the adjustment value to obtain the adjusted vibration threshold. In one embodiment, the difference between the average value of the abnormal vibration comprehensive evaluation value and the initial vibration threshold is multiplied by a preset adjustment coefficient to obtain the adjustment value, and the adjustment value is superimposed on the initial vibration threshold to obtain the adjusted vibration threshold. An exemplary example may be that the preset number of times is 3 times, the initial vibration threshold is 80, the preset adjustment coefficient is 1.5, the total number of abnormal vibration warnings is 8 times, the abnormal vibration comprehensive evaluation values ​​at each abnormal vibration warning are 100, 110, 115, 100, 105, 110, 100, 100, respectively, the total number of abnormal vibration warnings is greater than the preset number of times, the average value of each abnormal vibration comprehensive evaluation value is calculated to be 105, the difference between the average value and the initial vibration threshold is 25, the difference is multiplied by the preset adjustment coefficient to obtain an adjustment value of the initial vibration threshold of 37.5, and the adjustment value is superimposed on the initial vibration threshold to obtain an adjusted vibration threshold of 117.5. In another embodiment, the preset adjustment value mapping table is queried according to the difference between the average value of the abnormal vibration comprehensive evaluation value and the initial vibration threshold to obtain the adjustment value of the initial vibration threshold, and the adjustment value is superimposed on the initial vibration threshold to obtain the adjusted vibration threshold.

[0070] Step S305: when the total number of abnormal vibration warnings is zero, obtain the comprehensive vibration evaluation value at each time point in the preset update period, and adjust the initial vibration threshold according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain an adjusted vibration threshold.

[0071] Among them, when the total number of abnormal vibration warnings is zero, a method for adjusting the initial vibration threshold may be: obtaining the comprehensive vibration evaluation value at each time point in the preset update cycle, and adjusting the initial vibration threshold according to the comprehensive vibration evaluation value at each time point in the preset update cycle to obtain an adjusted vibration threshold. Optionally, determine the preset numerical intervals into which the comprehensive vibration evaluation values ​​at each time point in the preset update cycle fall respectively, and determine the preset numerical interval into which the comprehensive vibration evaluation values ​​fall the most, adjust the initial vibration threshold to the preset vibration threshold corresponding to the preset numerical interval into which the most falls, and determine it as the adjusted vibration threshold. An exemplary example may be that the initial vibration threshold is 80, the vibration comprehensive evaluation value 1 within the preset update period is 60, the vibration comprehensive evaluation value 2 is 55, the vibration comprehensive evaluation value 3 is 60, the vibration comprehensive evaluation value 4 is 20, the vibration comprehensive evaluation value 5 is 54, and the vibration comprehensive evaluation value 6 is 58. The preset numerical intervals into which the vibration comprehensive evaluation values ​​1, 2, 3, 5, and 6 fall are all (40, 60], the preset numerical interval into which the vibration comprehensive evaluation value 4 falls is (0, 40], and the preset numerical interval into which the vibration comprehensive evaluation value falls the most is (40, 60], and the corresponding associated preset vibration threshold is 70, then the initial vibration threshold is adjusted from 80 to 70. In another embodiment, the average value of the vibration comprehensive evaluation value at each time point within the preset update period is calculated, the average value of the vibration comprehensive evaluation value is superimposed with the preset superposition value to obtain the adjusted vibration threshold, and the initial vibration threshold is adjusted to the adjusted vibration threshold.

[0072] Step S306: adding the vibration data and the adjusted vibration threshold to the database for use in abnormal cable vibration warning.

[0073] From the above, it can be seen that when the total number of abnormal vibration warnings is greater than the preset number, the average value of each abnormal vibration comprehensive evaluation value and the difference between the average value and the initial vibration threshold are calculated, the adjustment value of the initial vibration threshold is determined according to the difference, and the initial vibration threshold is adjusted according to the adjustment value to obtain the adjusted vibration threshold. When the total number of abnormal vibration warnings is zero, the vibration comprehensive evaluation value at each time point in the preset update cycle is obtained, and the initial vibration threshold is adjusted according to the vibration comprehensive evaluation value at each time point in the preset update cycle to obtain the adjusted vibration threshold. This scheme adjusts the initial threshold by the number of abnormal vibration warnings and the data at the time of the warning, which can ensure the rationality and accuracy of the vibration threshold, improve the recognition accuracy of the abnormal vibration warning of the cable, and reduce the false alarm rate.

[0074] Figure 4This is a module structure diagram of a data adaptive matching cable abnormal vibration early warning system provided by an embodiment of the present invention. The system is used to execute a data adaptive matching cable abnormal vibration early warning method provided by the above embodiment, and has the corresponding functional modules and beneficial effects of the execution method. Figure 4 As shown, the system specifically includes:

[0075] An acquisition module 101 is used to acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time;

[0076] A matching processing module 102, used for matching the vibration data with a plurality of historical vibration data in a database;

[0077] A threshold updating module 103 is used to update the initial vibration threshold to a historical vibration threshold associated with the historical vibration data in case there is matching historical vibration data, so as to be used for abnormal cable vibration warning;

[0078] An abnormality detection module 104 is used to perform abnormal vibration detection of the cable based on the initial vibration threshold when there is no matching historical vibration data;

[0079] The threshold updating module 103 is further configured to determine abnormal vibration warning data within the preset update period after the detection time reaches the preset update period, and adjust the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold;

[0080] The data adding module 105 is used to add the vibration data and the adjusted vibration threshold to the database for use in abnormal cable vibration warning.

[0081] It can be seen from the above scheme that the initial vibration threshold and the vibration data detected by the vibration detection device within the preset time are obtained, and the vibration data is matched with multiple historical vibration data in the database. When there is matching historical vibration data, the initial vibration threshold is updated to the historical vibration threshold associated with the historical vibration data for cable abnormal vibration warning. When there is no matching historical vibration data, cable abnormal vibration detection is performed based on the initial vibration threshold, and after the detection time reaches the preset update cycle, the abnormal vibration warning data within the preset update cycle is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain the adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for cable abnormal vibration warning. This scheme solves the problem that the existing cable abnormal vibration warning technology is easily interfered by external factors, resulting in false information and low warning accuracy by adaptively adjusting the cable abnormal vibration threshold. It can improve the recognition accuracy of cable abnormal vibration, reduce the false alarm rate, and save subsequent manpower processing costs.

[0082] In a possible embodiment, the matching processing module 102 is specifically configured to:

[0083] respectively calculating vibration amplitude similarities between the plurality of vibration amplitude values ​​and a plurality of historical vibration amplitude values ​​in each historical vibration data, and respectively calculating vibration frequency similarities between the plurality of vibration frequency values ​​and a plurality of historical vibration frequency values ​​in each historical vibration data;

[0084] The matching processing result is determined based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data.

[0085] In a possible embodiment, the matching processing module 102 is further configured to:

[0086] When the vibration amplitude similarity corresponding to the historical vibration data is greater than the preset amplitude similarity and the vibration frequency similarity is greater than the preset frequency similarity, it is determined that the vibration data successfully matches the historical vibration data; otherwise, it is determined that the vibration data fails to match the historical vibration data.

[0087] In a possible embodiment, an initialization module is further included, which is specifically used to:

[0088] The vibration threshold is initialized according to the pre-stored vibration comprehensive evaluation standard value to obtain an initial vibration threshold, wherein the pre-stored vibration comprehensive evaluation standard value is calculated based on a standard vibration amplitude and a standard vibration frequency.

[0089] In a possible embodiment, the threshold updating module 103 is specifically configured to:

[0090] Determine the total number of abnormal vibration warnings within the preset update period and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning, and determine the total number of abnormal vibration warnings and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning as abnormal vibration warning data.

[0091] In a possible embodiment, the threshold updating module 103 is further configured to:

[0092] When the total number of abnormal vibration warnings is greater than a preset number, calculating an average value of each of the abnormal vibration comprehensive evaluation values ​​and a difference between the average value and the initial vibration threshold, determining an adjustment value of the initial vibration threshold according to the difference, and adjusting the initial vibration threshold according to the adjustment value to obtain an adjusted vibration threshold;

[0093] When the total number of abnormal vibration warnings is zero, the comprehensive vibration evaluation value at each time point in the preset update period is obtained, and the initial vibration threshold is adjusted according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain an adjusted vibration threshold.

[0094] In a possible embodiment, the threshold updating module 103 is further configured to:

[0095] Determine the preset numerical intervals into which the vibration comprehensive evaluation values ​​at each time point within the preset update period fall respectively, and determine the preset numerical interval into which the vibration comprehensive evaluation values ​​fall the most;

[0096] The initial vibration threshold is adjusted to the preset vibration threshold corresponding to the preset value interval that falls the most, and is determined as the adjusted vibration threshold.

[0097] Figure 5 A schematic diagram of the structure of a data adaptive matching cable abnormal vibration warning device provided by an embodiment of the present invention, such as Figure 5 As shown, the device includes a processor 201, a memory 202, an input device 203 and an output device 204; the number of processors 201 in the device can be one or more. Figure 5 A processor 201 is taken as an example; the processor 201, memory 202, input device 203 and output device 204 in the device can be connected by a bus or other means. Figure 5 The example of connecting through a bus is taken. The memory 202, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions or modules corresponding to a data adaptive matching cable abnormal vibration early warning method in an embodiment of the present invention. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 202, that is, realizes the above-mentioned data adaptive matching cable abnormal vibration early warning method. The input device 203 can be used to receive input digital or character information, and generate key signal input related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.

[0098] The embodiment of the present invention further provides a storage medium containing computer executable instructions, wherein the computer executable instructions are used to execute a data adaptive matching cable abnormal vibration early warning method when executed by a computer processor, the method comprising:

[0099] Acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time, and match the vibration data with a plurality of historical vibration data in a database;

[0100] In the case where there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning;

[0101] In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for abnormal cable vibration warning.

[0102] It is worth noting that in the embodiment of the above-mentioned data adaptive matching cable abnormal vibration warning method system, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0103] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention are described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. A data adaptive matching cable abnormal vibration early warning method, characterized in that: include: Acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time, and match the vibration data with a plurality of historical vibration data in a database; In the case where there is matching historical vibration data, the initial vibration threshold is updated to a historical vibration threshold associated with the historical vibration data, so as to be used for abnormal cable vibration warning; In the absence of matching historical vibration data, abnormal cable vibration detection is performed based on the initial vibration threshold, and after the detection time reaches a preset update period, abnormal vibration warning data within the preset update period is determined, and the initial vibration threshold is adjusted based on the abnormal vibration warning data to obtain an adjusted vibration threshold, and the vibration data and the adjusted vibration threshold are added to the database for abnormal cable vibration warning.

2. The cable abnormal vibration early warning method based on data adaptive matching according to claim 1 is characterized in that: The vibration data includes a plurality of vibration amplitude values ​​and a vibration frequency value, and the matching process of the vibration data with a plurality of historical vibration data in a database includes: respectively calculating vibration amplitude similarities between the plurality of vibration amplitude values ​​and a plurality of historical vibration amplitude values ​​in each historical vibration data, and respectively calculating vibration frequency similarities between the plurality of vibration frequency values ​​and a plurality of historical vibration frequency values ​​in each historical vibration data; The matching processing result is determined based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data.

3. The cable abnormal vibration early warning method based on data adaptive matching according to claim 2 is characterized in that: The determining of the matching processing result based on the vibration amplitude similarity and the vibration frequency similarity corresponding to each historical vibration data includes: When the vibration amplitude similarity corresponding to the historical vibration data is greater than the preset amplitude similarity and the vibration frequency similarity is greater than the preset frequency similarity, it is determined that the vibration data successfully matches the historical vibration data; otherwise, it is determined that the vibration data fails to match the historical vibration data.

4. The cable abnormal vibration early warning method based on data adaptive matching according to any one of claims 1 to 3, characterized in that: Before obtaining the initial vibration threshold and the vibration data detected by the vibration detection device within a preset time, the method further includes: The vibration threshold is initialized according to the pre-stored vibration comprehensive evaluation standard value to obtain an initial vibration threshold, wherein the pre-stored vibration comprehensive evaluation standard value is calculated based on a standard vibration amplitude and a standard vibration frequency.

5. The cable abnormal vibration early warning method based on data adaptive matching according to any one of claims 1 to 3, characterized in that: The determining of abnormal vibration warning data within the preset update period includes: Determine the total number of abnormal vibration warnings within the preset update period and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning, and determine the total number of abnormal vibration warnings and the comprehensive evaluation value of abnormal vibration at each abnormal vibration warning as abnormal vibration warning data.

6. The cable abnormal vibration early warning method based on data adaptive matching according to any one of claims 1 to 3, characterized in that: The adjusting the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold includes: When the total number of abnormal vibration warnings is greater than a preset number, calculating an average value of each of the abnormal vibration comprehensive evaluation values ​​and a difference between the average value and the initial vibration threshold, determining an adjustment value of the initial vibration threshold according to the difference, and adjusting the initial vibration threshold according to the adjustment value to obtain an adjusted vibration threshold; When the total number of abnormal vibration warnings is zero, the comprehensive vibration evaluation value at each time point in the preset update period is obtained, and the initial vibration threshold is adjusted according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain an adjusted vibration threshold.

7. The cable abnormal vibration early warning method based on data adaptive matching according to claim 6 is characterized in that: The adjusting the initial vibration threshold according to the comprehensive vibration evaluation value at each time point in the preset update period to obtain the adjusted vibration threshold includes: Determine the preset numerical intervals into which the vibration comprehensive evaluation values ​​at each time point within the preset update period fall respectively, and determine the preset numerical interval into which the vibration comprehensive evaluation values ​​fall the most; The initial vibration threshold is adjusted to the preset vibration threshold corresponding to the preset value interval that falls the most, and is determined as the adjusted vibration threshold.

8. A data adaptive matching cable abnormal vibration early warning system, characterized in that: include: An acquisition module, used to acquire an initial vibration threshold and vibration data detected by a vibration detection device within a preset time; A matching processing module, used for matching the vibration data with a plurality of historical vibration data in a database; A threshold updating module, used for updating the initial vibration threshold to a historical vibration threshold associated with the historical vibration data, in case there is matching historical vibration data, so as to be used for abnormal cable vibration warning; an abnormality detection module, used for performing abnormal vibration detection of the cable based on the initial vibration threshold in the absence of matching historical vibration data; The threshold updating module is further used to determine abnormal vibration warning data within the preset update period after the detection time reaches the preset update period, and adjust the initial vibration threshold based on the abnormal vibration warning data to obtain an adjusted vibration threshold; A data adding module is used to add the vibration data and the adjusted vibration threshold to the database for use in abnormal cable vibration warning.

9. A data adaptive matching cable abnormal vibration early warning device, the device comprising: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the data adaptive matching cable abnormal vibration early warning method as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute the data adaptive matching cable abnormal vibration early warning method according to any one of claims 1 to 7.

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