A Smart Instantaneous Location Method for Overhead Cable Faults

Abstract

This invention relates to the field of cable fault management technology, specifically to an intelligent instantaneous location method for overhead cable faults. The method includes: determining the overhead cable fault monitoring target; deploying sensing devices on each overhead cable; and using these sensing devices to perceive the real-time operating status information of the overhead cables. A cloud database is constructed to receive and store the overhead cable operating status information perceived by the sensing devices. The overhead cable operating status information is retrieved from the cloud database. This invention collects various operating status information of overhead cables through sensing devices, analyzes the risk of overhead cable operating faults based on the collected information, and further uses specific visualization logic to lock the faulty overhead cable in real time. Ultimately, it achieves instantaneous location of overhead cable faults, effectively maintaining the operational safety of overhead cables and providing effective stability and safety assurance for their daily operation.

Description

Technical Field

[0001] The present invention relates to the technical field of cable fault management, and particularly relates to an intelligent instantaneous positioning method based on overhead cable faults. Background Art

[0002] An overhead cable is a power or communication transmission line suspended in the air through support facilities such as utility poles. It has the advantages of relatively simple construction and maintenance, and low cost. Overhead cables can adapt to different geographical environments and climate conditions, and are widely used in the construction of urban and rural power grids and the communication field.

[0003] A patent for invention with the application number 201510012738.4 discloses a fault location system based on transient quantity signals of overhead cable hybrid lines. The system is characterized in that it consists of two parts: a data center platform and a fault section location host module; the data center platform exchanges data with the fault section location host module through a server; the fault section location host module is also connected to several wireless acquisition processors; each wireless acquisition processor has a trigger channel connected to the cable position and a corresponding channel connected to the overhead position; the trigger channel and its corresponding channel are used to monitor the signals output by a pair of signal acquisition transformers respectively arranged at the cable and overhead line ends; when T < 0 and (M / v) < T < (M / v + t) is satisfied, a transient fault signal is generated at the overhead position of the corresponding channel of the trigger channel; when T > 0 and (M / v) < |T〈(M / v + t) is satisfied, a transient fault signal is generated at the cable position of the trigger channel; when T < (M / v) is satisfied, a transient fault signal is generated in the area between the trigger channel and the corresponding channel of the trigger channel: when |T| > (M / v + t), the trigger signal is invalid; where M is the interval between the monitoring points at both ends of the cable: is the range of the difference in trigger times between the two channels at both ends of the wireless data acquisition processor, T = T1 - T2: T1 is the trigger time of the trigger channel: T2 is the trigger time of the corresponding channel of the trigger channel: t is the trigger response time threshold of the wireless acquisition processor; v is the propagation speed of the traveling wave in the cable.

[0004] This application aims to solve the problem of "in order to switch on the reclosing under the premise of meeting the equipment safety and reliability after some instantaneous faults occur, it is necessary to be able to locate whether the fault occurs in the overhead section or the underground high-voltage cable section, so as to shorten the fault power outage time, reduce economic losses; and improve the efficiency of troubleshooting".

[0005] At present, the fault instantaneous positioning technology of overhead cables has not been innovated for a long time;

[0006] Therefore, we propose an intelligent instantaneous positioning method based on overhead cable faults. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an intelligent instantaneous location method based on overhead cable faults, which solves the technical problems mentioned in the background.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] A method for intelligent instantaneous fault location based on overhead cable faults, comprising:

[0010] The system identifies overhead cable fault monitoring targets and deploys sensing devices on each overhead cable to perceive the cable's operational status in real time. A cloud database is constructed to receive and store the overhead cable operational status information perceived by the sensing devices. This information is then retrieved from the cloud database to analyze the current operational fault risk of the overhead cables. The analysis results are used to create a scrolling directory representing the current operational fault risk, and the overhead cable tags in the scrolling directory are sorted according to their risk level. A display panel is configured to receive the scrolling directory in real time via a medium or wireless network, continuously iterating the currently displayed scrolling directory with newly received data. A fault judgment threshold is set, and the system compares this threshold with the latest analysis results to determine if a fault exists in the overhead cable. Overhead cable fault alarms are received in real time, and the first group of overhead cable tags in the latest scrolling directory under fault alarm status is used as the target for cable fault judgment, with the location information of the target being acquired simultaneously.

[0011] Furthermore, when determining the target for overhead cable fault monitoring, the overhead cables are divided based on the interconnection nodes between them to obtain several groups of overhead cable segments. Each group of overhead cable segments serves as the monitoring target and the deployment target for sensing devices. Two sets of sensing devices are deployed on each group of overhead cable segments, with the two sets of sensing devices deployed at both ends of the overhead cable segment. The sensing devices consist of traveling wave sensors, temperature sensors, current and voltage sensors, vibration sensors, and positioners.

[0012] When sensing the operating status information of overhead cables, the sensing device is simultaneously configured with sensing logic, and the sensing device operates based on the sensing logic to sense the operating status information of overhead cables.

[0013] Furthermore, the perception logic is represented as follows:

[0014]

[0015] In the formula: t nextThe next operating cycle of the sensing device; t0 is the initial operating cycle of the sensing device; U MIN I MIN To find t next At that time, the minimum voltage and current sensed during the previous sensing device's operating cycle; U MAX I MAX To find t next At that time, the maximum voltage and current sensed during the previous operating cycle of the sensing device;

[0016] The sensing module operates at least three times within each operating cycle, and the time intervals between its operations within the same cycle are equal. The sensing module operates for the first time based on the initial operating cycle t0 of the sensing device, and the next operating cycle t... next During the initial calculation, U MIN I MIN U MAX I MAX All originate from t0, and the next operating cycle t of the sensing device. next In the second calculation, U MIN I MIN U MAX I MAX All data originates from the next operating cycle t of the sensor device obtained in the previous calculation. next In this way, each operation of the sensing module applies a new operating cycle.

[0017] Furthermore, when storing overhead cable operation status information, the cloud database simultaneously distinguishes and marks the stored overhead cable operation status information based on the deployment location information and sensing time of the source sensor equipment. Then, using the sensor equipment deployment location information and sensing time marked by the overhead cable operation status information, it identifies overhead cable operation status information from the same overhead cable segment and the same operating cycle. Based on the identification results, the overhead cable operation status information is distinguished and stored.

[0018] Furthermore, when retrieving overhead cable operation status information from the cloud database, the operation status information corresponding to the overhead cable with the shortest current configuration operation cycle of the equipment deployed on the overhead cable is prioritized for retrieval.

[0019] Each time a retrieval operation is performed, the retrieved overhead cable operating status information comes from the same storage area. Each time an overhead cable current operating fault risk analysis operation is performed, the retrieval operation is performed no less than six times. Half of the retrieved overhead cable operating status information has the same sensor deployment location information marker, and the other half has the same sensor deployment location information marker. Both sensor deployment location information markers come from the same overhead cable segment.

[0020] Furthermore, the analysis operation of the current operational fault risk of the overhead cable is synchronously refreshed and executed after each operation, continuously outputting the analysis results of the current operational fault risk of the overhead cable. The logic of the current operational fault risk analysis of the overhead cable is expressed as follows:

[0021]

[0022] In the formula: k is a set of overhead cable segment operation fault risk that distinguishes the operation status information of overhead cables in the storage area; To distinguish the average voltage-current product, i.e., the average electrical power, contained in the operating status information of each group of overhead cables in the storage area; (p max -p min ) a To distinguish the difference between the maximum and minimum vibration frequencies at one end of an overhead cable segment within the storage area; (p max -p min ) b To distinguish the difference between the maximum and minimum vibration frequencies at the other end of the overhead cable segment in the storage area; γ is a correction factor; K is the operational failure risk of the overhead cable segment; n is the set of operating cycles; k i The corresponding overhead cable segment operation fault risk is represented by the storage status information of the overhead cable in the storage interval under the i-th operating cycle.

[0023] in, Table The average is calculated, and the correction factor γ takes the value of 1 or -1, (p max -p min ) a >(p max -p min ) b When the correction factor γ = -1, (p max -p min ) a ≤(p max -p min ) b When the correction factor γ = 1.

[0024] Furthermore, the greater the operational failure risk K of the overhead cable section, the greater the possibility of potential failure in the overhead cable section; conversely, the smaller the risk K, the less likely the overhead cable section is to have potential failure.

[0025] The more operating cycles n used in Equation (2) contain, the more accurate the operational failure risk K of the overhead cable segment is; conversely, the less accurate the set of operating cycles n is, the lower the accuracy.

[0026] Furthermore, the rolling catalog representing the current operational fault risk of overhead cables is updated synchronously based on the output frequency of the overhead current operational fault risk analysis results, and the rolling catalog representing the current operational fault risk of overhead cables consists of an equal number of overhead cable tags as the overhead cable segments.

[0027] The overhead cable label is a virtual label. The overhead cable label is composed of a long strip image block layer and a text layer. The text layer displays the location information of the sensing device deployed on the corresponding overhead cable segment. The image block layer serves as the background of the text layer and is rendered in the entire scrolling directory. The scrolling directory is rendered in the same color scheme. The longer strip image block layer of the overhead cable label that is closer to the front in the scrolling directory has a higher saturation, and the longer strip image block layer of the overhead cable label that is further back in the scrolling directory has a lower saturation.

[0028] Furthermore, when determining whether an overhead cable is faulty based on a fault determination threshold, the faulty overhead cable segment is identified.

[0029] The system receives overhead cable fault alarms in real time and uses the first group of overhead cable tags in the latest scrolling directory corresponding to the overhead cable segment as the target for cable fault determination, i.e., the determination of the faulty overhead cable segment.

[0030] The operation of receiving overhead cable fault alarms includes: dialing the cable fault alarm phone number, and the overhead cable management backend staff setting that the current overhead cable has a fault.

[0031] Furthermore, after the faulty overhead cable segment is identified, the location information of the sensing devices deployed on the overhead cable segment, contained in the corresponding tag of the faulty overhead cable, is further read.

[0032] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:

[0033] This invention provides an intelligent instantaneous location method for overhead cable faults. During execution, the method collects various operating status information of the overhead cable through sensing devices, analyzes the risk of overhead cable operation faults based on the collected information, and further uses specific visualization logic to lock the faulty overhead cable in real time. Ultimately, it achieves instantaneous location of overhead cable faults, effectively maintaining the operational safety of overhead cables and providing effective stability and safety assurance for their daily operation. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0035] Figure 1 This is a flowchart illustrating an intelligent instantaneous location method for overhead cable faults. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0037] The present invention will be further described below with reference to embodiments.

[0038] Example 1:

[0039] This embodiment presents an intelligent instantaneous location method for overhead cable faults, such as... Figure 1 As shown, it includes the following steps:

[0040] Step 1: Determine the target for overhead cable fault monitoring, deploy sensing devices on each overhead cable, and use the sensing devices to perceive the operating status information of the overhead cable in real time;

[0041] When determining the target for overhead cable fault monitoring, the overhead cables are divided based on the interconnection nodes between them to obtain several groups of overhead cable segments. Each group of overhead cable segments serves as the monitoring target and the deployment target for sensing equipment. Two groups of sensing equipment are deployed on each group of overhead cable segments, with the two groups of sensing equipment deployed at both ends of the overhead cable segment. The sensing equipment consists of traveling wave sensors, temperature sensors, current and voltage sensors, vibration sensors, and positioners.

[0042] When sensing the operating status information of overhead cables, the sensing device is simultaneously configured with sensing logic, and the sensing device operates based on the sensing logic to sense the operating status information of overhead cables.

[0043] Perceptual logic is represented as:

[0044]

[0045] In the formula: t next The next operating cycle of the sensing device; t0 is the initial operating cycle of the sensing device; U MIN I MIN To find t next At that time, the minimum voltage and current sensed during the previous sensing device's operating cycle; U MAX I MAX To find t next At that time, the maximum voltage and current sensed during the previous operating cycle of the sensing device;

[0046] The sensing module operates at least three times within each operating cycle, and the time intervals between its operations within the same cycle are equal. The sensing module operates for the first time based on the initial operating cycle t0 of the sensing device, and the next operating cycle t... next During the initial calculation, U MIN I MIN U MAX I MAX All originate from t0, and the next operating cycle t of the sensing device. next In the second calculation, U MIN I MIN U MAX I MAX All data originates from the next operating cycle t of the sensor device obtained in the previous calculation. next In this way, each operation of the sensing module applies a new operating cycle;

[0047] Step 2: Build a cloud database and use the cloud database to receive and store the overhead cable operating status information sensed by the sensing devices;

[0048] Step 3: Retrieve overhead cable operation status information from the cloud database and use the overhead cable operation status information to analyze the current operational failure risk of the overhead cable;

[0049] Step 4: Obtain the current operational fault risk analysis results of overhead cables, create a rolling directory representing the current operational fault risk of overhead cables, and sort the overhead cable tags in the rolling directory according to the operational fault risk level based on the current operational fault risk analysis results of overhead cables.

[0050] The rolling catalog representing the current operational fault risk of overhead cables is updated synchronously based on the output frequency of the overhead cable current operational fault risk analysis results. The rolling catalog representing the current operational fault risk of overhead cables consists of an equal number of overhead cable tags as the overhead cable segments.

[0051] The overhead cable label is a virtual label. The overhead cable label is composed of a long strip image block layer and a text layer. The text layer displays the location information of the sensing device deployed on the corresponding overhead cable segment. The image block layer serves as the background of the text layer and is rendered in the entire scrolling directory. The scrolling directory is rendered in the same color scheme. The longer strip image block layer of the overhead cable label that is closer to the front in the scrolling directory has a higher saturation, and the longer strip image block layer of the overhead cable label that is further back in the scrolling directory has a lower saturation.

[0052] Step 5: Configure the display panel to receive the scrolling catalog in real time via media or wireless network, and always iterate the currently displayed scrolling catalog on the display panel with the newly received scrolling catalog.

[0053] Step 6: Set a fault judgment threshold. Based on the fault judgment threshold, compare it with the latest analysis results of the current operation fault risk of the overhead cable to determine whether the overhead cable is faulty. Receive overhead cable fault alarms in real time. Take the first group of overhead cable tags in the latest scrolling directory under the overhead cable fault alarm status as the target of cable fault judgment and obtain the location information of the target at the same time.

[0054] In this embodiment, by executing the steps of the method described in the above embodiments, a novel instantaneous location scheme is provided for fault location of overhead cables. Moreover, while locating faults in overhead cables, this method can also globally and visually display the operational fault risks of each overhead cable segment in the overall overhead cable system, which is beneficial for overhead cable management users to further carry out daily maintenance of overhead cables.

[0055] Example 2:

[0056] At the implementation level, based on Example 1, this example refers to... Figure 1The intelligent instantaneous location method for overhead cable faults in Example 1 will be further described in detail below:

[0057] When storing overhead cable operation status information, the cloud database simultaneously distinguishes and marks the stored overhead cable operation status information based on the deployment location information and sensing time of the source sensor equipment. Then, using the sensor equipment deployment location information and sensing time marked by the overhead cable operation status information, it identifies overhead cable operation status information from the same overhead cable segment and the same operating cycle. Based on the identification results, the overhead cable operation status information is distinguished and stored.

[0058] The above settings provide further defined storage and management of the overhead cable operating status information sensed by the sensing equipment.

[0059] like Figure 1 As shown, when retrieving overhead cable operation status information from the cloud database, the operation status information of the overhead cable with the shortest current configuration operation cycle of the equipment deployed on the overhead cable is taken as the priority target for retrieval;

[0060] Each time a retrieval operation is performed, the retrieved overhead cable operating status information comes from the same storage area. Each time an overhead cable current operating fault risk analysis operation is performed, the retrieval operation is performed no less than six times. Half of the retrieved overhead cable operating status information has the same sensor deployment location information marker, and the other half has the same sensor deployment location information marker. Both sensor deployment location information markers come from the same overhead cable segment.

[0061] The analysis of current operational fault risks for overhead cables is performed synchronously after each operation, continuously refreshing and outputting the analysis results. The logical representation of the current operational fault risk analysis for overhead cables is as follows:

[0062]

[0063] In the formula: k is a set of overhead cable segment operation fault risk that distinguishes the operation status information of overhead cables in the storage area; To distinguish the average voltage-current product, i.e., the average electrical power, contained in the operating status information of each group of overhead cables in the storage area; (p max -p min ) a To distinguish the difference between the maximum and minimum vibration frequencies at one end of an overhead cable segment within the storage area; (p max -p min ) bTo distinguish the difference between the maximum and minimum vibration frequencies at the other end of the overhead cable segment in the storage area; γ is a correction factor; K is the operational failure risk of the overhead cable segment; n is the set of operating cycles; k i The corresponding overhead cable segment operation fault risk is represented by the storage status information of the overhead cable in the storage interval under the i-th operating cycle.

[0064] in, Table The average is calculated, and the correction factor γ takes the value of 1 or -1, (p max -p min ) a >(p max -p min ) b When the correction factor γ = -1, (p max -p min ) a ≤(p max -p min ) b When the correction factor γ = 1;

[0065] The larger the operational failure risk K of an overhead cable section, the greater the possibility of potential failure in the overhead cable section; conversely, the smaller the risk K, the less likely the overhead cable section is to have potential failure.

[0066] The more operating cycles n used in Equation (2) contain, the more accurate the operational failure risk K of the overhead cable segment is; conversely, the less accurate the set of operating cycles n is, the lower the accuracy.

[0067] In this embodiment, the above settings further limit the fault risk analysis logic of the overhead cable, providing further logical support for the execution of the steps in the method in embodiment 1, ensuring the execution of the steps in the method in embodiment 1, and realizing instantaneous fault location and visual feedback of the overhead cable.

[0068] Example 3:

[0069] At the implementation level, based on Example 1, this example refers to... Figure 1 The intelligent instantaneous location method for overhead cable faults in Example 1 will be further described in detail below:

[0070] When determining whether an overhead cable is faulty based on a fault determination threshold, that is, determining the faulty overhead cable segment;

[0071] The system receives overhead cable fault alarms in real time and uses the first group of overhead cable tags in the latest scrolling directory corresponding to the overhead cable segment as the target for cable fault determination, i.e., the determination of the faulty overhead cable segment.

[0072] The operation of receiving overhead cable fault alarms includes: dialing the cable fault alarm phone number, and the overhead cable management backend staff setting that the current overhead cable has a fault.

[0073] Once the faulty overhead cable segment is identified, the location information of the sensor devices deployed on the overhead cable segment, contained in the corresponding tag of the faulty overhead cable, is further read.

[0074] The above settings further define the content of the faulty overhead cable segment determination logic and the operation of receiving overhead cable fault alarms in step 6 of the method in Embodiment 1.

[0075] In summary, the method described in the above embodiments collects various operating status information of overhead cables through sensing devices during execution, analyzes the risk of overhead cable operation failures based on the collected overhead cable operating status information, and further uses specific visualization logic to lock the faulty overhead cable in real time, ultimately achieving instantaneous location of overhead cable faults, effectively maintaining the operational safety of overhead cables, and providing effective stability and safety assurance for the daily operation of overhead cables.

[0076] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent instantaneous location of faults in overhead cables, characterized in that, Includes the following steps: Step 1: Determine the target for overhead cable fault monitoring, deploy sensing devices on each overhead cable, and use the sensing devices to perceive the operating status information of the overhead cable in real time; Step 2: Build a cloud database and use the cloud database to receive and store the overhead cable operating status information sensed by the sensing devices; Step 3: Retrieve overhead cable operation status information from the cloud database and use the overhead cable operation status information to analyze the current operational failure risk of the overhead cable; Step 4: Obtain the current operational fault risk analysis results of overhead cables, create a rolling directory representing the current operational fault risk of overhead cables, and sort the overhead cable tags in the rolling directory according to the operational fault risk level based on the current operational fault risk analysis results of overhead cables. Step 5: Configure the display panel to receive the scrolling catalog in real time via media or wireless network, and always iterate the currently displayed scrolling catalog on the display panel with the newly received scrolling catalog. Step 6: Set a fault determination threshold, and compare the fault determination threshold with the latest analysis results of the current operational fault risk of the overhead cable to determine whether the overhead cable has a fault. Real-time reception of overhead cable fault alarms; the first group of overhead cable tags in the latest scrolling directory under the status of receiving overhead cable fault alarms is used as the overhead cable segment corresponding to the cable fault judgment target, and the location information of the judgment target is obtained synchronously. In step 1, when the sensing device senses the operating status information of the overhead cable, it is simultaneously configured with sensing logic. The sensing device operates based on the sensing logic to sense the operating status information of the overhead cable. The perception logic is represented as follows: ； In the formula: For the next operating cycle of the sensing device; This refers to the initial operating cycle of the sensing device; , In order to obtain At that time, the minimum voltage and current sensed during the previous sensing device's operating cycle; , In order to obtain At that time, the maximum voltage and current sensed during the previous operating cycle of the sensing device; The sensing module runs at least three times within each operating cycle, and the time intervals between its runs within the same cycle are equal. The first run of the sensing module is based on the initial operating cycle of the sensing device. Operation, the next operating cycle of the sensing device During the first calculation, , , , All sources The next operating cycle of the sensing device In the second calculation, , , , All data originates from the next operating cycle of the sensor device obtained in the previous query. In this way, each operation of the sensing module applies a new operating cycle; When retrieving overhead cable operation status information from the cloud database, the operation status information corresponding to the overhead cable with the shortest current configuration operation cycle of the equipment deployed on the overhead cable is given priority.

2. The intelligent instantaneous location method for overhead cable faults according to claim 1, characterized in that, When determining the target for overhead cable fault monitoring, the overhead cables are divided based on the interconnection nodes between them to obtain several groups of overhead cable segments. Each group of overhead cable segments serves as the monitoring target and the deployment target for sensing devices. Two groups of sensing devices are deployed on each group of overhead cable segments, with the two groups of sensing devices deployed at both ends of the overhead cable segment. The sensing devices consist of traveling wave sensors, temperature sensors, current and voltage sensors, vibration sensors, and positioners.

3. The intelligent instantaneous location method for overhead cable faults according to claim 1, characterized in that, When storing overhead cable operation status information, the cloud database simultaneously distinguishes and marks the stored overhead cable operation status information based on the deployment location information and sensing time of the source sensor equipment. Then, using the sensor equipment deployment location information and sensing time marked by the overhead cable operation status information, it identifies overhead cable operation status information from the same overhead cable segment and the same operating cycle. Based on the identification results, the overhead cable operation status information is distinguished and stored.

4. The intelligent instantaneous location method for overhead cable faults according to claim 1, characterized in that, Each time a retrieval operation is performed, the retrieved overhead cable operating status information comes from the same storage area. Each time an overhead cable current operating fault risk analysis operation is performed, the retrieval operation is performed no less than six times. Half of the retrieved overhead cable operating status information has the same sensor deployment location information marker, and the other half has the same sensor deployment location information marker. Both sensor deployment location information markers come from the same overhead cable segment.

5. A method for intelligent instantaneous location of faults in overhead cables according to claim 1 or 4, characterized in that, The analysis of the current operational fault risk of the overhead cable is performed synchronously after each operation, continuously refreshing and outputting the analysis results. The logic for the current operational fault risk analysis of the overhead cable is as follows: ； In the formula: This is a set of information on the operational status of overhead cables in storage areas, representing the corresponding overhead cable segment's operational fault risk. To distinguish the average value of the voltage-current product, i.e. the average power, contained in the operating status information of each group of overhead cables in the storage area; To distinguish the difference between the maximum and minimum vibration frequencies at one end of the overhead cable segment in the storage area; To distinguish the difference between the maximum and minimum vibration frequencies at the other end of the overhead cable segment in the storage area; As a correction factor; Risks of operational failures in overhead cable sections; A set of running cycles; The corresponding overhead cable segment operation fault risk is represented by the storage status information of the overhead cable in the storage interval under the i-th operating cycle. in, Table Mean calculation, correction factor The value can be 1 or -1. > At that time, the correction factor =-1, ≤ At that time, the correction factor =1.

6. The intelligent instantaneous location method for overhead cable faults according to claim 5, characterized in that, Operational failure risks of overhead cable sections The larger the value, the greater the possibility of a fault in the overhead cable section; conversely, the smaller the value, the less likely the overhead cable section is to have a fault. The set of operating cycles used in equation (2) The more operating cycles included, the higher the risk of operational failures in the overhead cable section. The more precise, the lower the precision; conversely, the less precise, the lower the precision.

7. The intelligent instantaneous location method for overhead cable faults according to claim 1, characterized in that, The rolling catalog representing the current operational fault risk of overhead cables is updated synchronously based on the output frequency of the overhead cable current operational fault risk analysis results. The rolling catalog representing the current operational fault risk of overhead cables consists of an equal number of overhead cable tags as the overhead cable segments. The overhead cable label is a virtual label. The overhead cable label is composed of a long strip image block layer and a text layer. The text layer displays the location information of the sensing device deployed on the corresponding overhead cable segment. The image block layer serves as the background of the text layer and is rendered in the entire scrolling directory. The scrolling directory is rendered in the same color scheme. The longer strip image block layer of the overhead cable label that is closer to the front in the scrolling directory has a higher saturation, and the longer strip image block layer of the overhead cable label that is further back in the scrolling directory has a lower saturation.

8. The intelligent instantaneous location method for overhead cable faults according to claim 1, characterized in that, When determining whether an overhead cable is faulty based on a fault determination threshold, that is, determining the faulty overhead cable segment; The system receives overhead cable fault alarms in real time and uses the first group of overhead cable tags in the latest scrolling directory corresponding to the overhead cable segment as the target for cable fault determination, i.e., the determination of the faulty overhead cable segment. The operation of receiving overhead cable fault alarms includes: dialing the cable fault alarm phone number, and the overhead cable management backend staff setting that the current overhead cable has a fault.

9. The intelligent instantaneous location method for overhead cable faults according to claim 8, characterized in that, Once the faulty overhead cable segment is identified, the location information of the sensing devices deployed on the overhead cable segment, contained in the corresponding tag of the faulty overhead cable, is further read.

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