Operation of towed cable
By installing sensors and optical waveguide technology on the drag cable, monitoring mechanical load and tension, predicting cable stress and life, the failure problem caused by mechanical load is solved, cable status monitoring and fault prediction are realized, and the application is optimized Running, extending cable life.
Patent Information
- Application Number
- CN202380043748.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2022-05-31
- Filing Date
- 2023-05-31
- Publication Date
- 2024-12-31
AI Technical Summary
Due to failure and electrical damage caused by mechanical load in mobile applications, the prior art is difficult to effectively monitor and predict the use of cables, resulting in frequent failure of application equipment.
Using sensors installed on the cable, the cable is detected by detecting the mechanical load, tension and torque data, combined with optical waveguide technology, predicting the stress and life of the cable, realizing cable status monitoring and fault prediction, and optimizing operating conditions through algorithms To extend cable life.
It realizes early detection of cable error loads, identify application operation characteristics and cable connection problems, optimizes operation to avoid damage, extends cable life, and improves system reliability through predictive maintenance.
Smart Images
Figure CN119234134A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a method for running a cable, in particular a trailing cable. Background Art
[0002] The operation involves monitoring, fault prediction or operation optimization of the trailing cables. Trailing cables are used in particular for HV / LV power supply. HV stands for high voltage, i.e. high voltage. LV stands for low voltage, i.e. low voltage. Trailing cables are often used in mobile applications. For example, in cranes, in particular in port equipment, in mining or in
[0003] Mobile applications can be found in the inventory.
[0004] In particular, there are mobile uses (applications) of onboard high-voltage power supplies provided via rolled-up cables, and mobile applications have cable damage caused by unfavorable mechanical loads, especially due to incorrect cable wiring and / or inappropriate operation of the application as one of the frequent failure causes. It can cause application failure due to the mechanical load of the cable, which causes electrical damage. This load reflects the use of the cable. Application failure can be understood as the failure of a crane, a belt conveyor, an excavator (such as a lignite excavator), etc. Therefore, application failure can also mean the failure of a technical system or a partial failure of a technical system. The mechanical load of the cable or cable can be monitored or measured. Therefore, that is to say, the use of the cable can be monitored or measured. In particular, the load is a measure of the use. For example, the cable, i.e. the cable, can have an optical waveguide. The mechanical load can be measured by means of this optical waveguide integrated into the cable. Summary of the invention
[0005] The object of the present invention is to advantageously use information about the load on a cable, in particular an electrical cable, for the operation of the cable, wherein the cable is in particular a trailing cable.
[0006] This object is achieved in a method according to claim 1 and in a device according to claim 9. For example, further embodiments according to claims 2 to 8 emerge.
[0007] In a method for operating a cable, the cable has a sensor for detecting the use of the cable, in particular detecting the load, wherein sensor signals are stored, wherein properties of the cable are derived with the aid of the sensor signals, wherein operating data are used to evaluate the sensor signals, wherein the operating data are in particular past data and / or future data that are in particular dependent on the torque and / or speed of the cable drum. Data that are dependent on the torque and / or speed of the cable drum are, for example, the moving speed of the cable, the tension on or in the cable, and the torque and / or speed of the cable drum itself. The cable drum can be used to wind or unwind the cable.
[0008] In one embodiment of the method, the stress of the cable is predicted. The prediction is based in particular on current data of the cable, the prediction taking into account in particular the stresses of the cable that have already occurred, and on data for the future use of the cable that depends on the planned use. Therefore, in the prediction of the future simulation, in particular the future winding process and / or the future speed for the winding process and / or the future torque of the cable drum and / or the future pulling force on the cable are taken into account. For example, if the simulation shows that the simulated life of the cable is shorter than the planned life, an earlier replacement of the cable can be planned and / or the stress of the cable can be reduced. For example, the reduction of the stress of the cable is achieved by reducing the number of winding processes and / or by reducing the speed for winding or unwinding the cable.
[0009] In one embodiment of the method, a plurality of characteristics are determined at different times, wherein the characteristics are evaluated together. A sensor is also to be understood here as an element of a sensor. The sensor element is, for example, an optical waveguide. In this case, it is also possible, for example, to regard a semiconductor and / or a light source for detecting light as belonging to the sensor. The characteristic is in particular a date or a data set. The characteristic therefore relates to the use or load of the cable. The sensor has, for example, a glass fiber. With the aid of the sensor, it is possible, for example, to detect the torsion, bending, stretching and / or compression of the cable. This is a situation that affects the use of the cable. In particular, it is also possible to detect the position of the torsion, bending, stretching and / or compression of the cable. The position relates to the position on the cable. Thus, for example, 3 meters or 58 meters away from the beginning of the cable or the end of the cable.
[0010] This means that not only the mechanical load of the cable can be measured, wherein if a limit value is exceeded, a warning light is activated. By storing the characteristics of the cable at different times, it is possible to perform a trend / development of the integrity of the cable. When simulating future use, it is even possible to predict further stresses on the cable and thus, for example, also its loss or its failure. This means, for example, that the number of operating cycles of a system with monitored cables is specified and the impact this has on the cable can be calculated. It not only enables condition monitoring of the cable, but also predictions. This has the method of achieving predictive maintenance. This is achieved in particular by using an association of data about the cable with the application in which the cable is used. Therefore, predictive characteristics about the cable, i.e. predictions, can be obtained. These characteristics can be obtained in particular in cables with integrated optical waveguides. In this way, the mechanical load of HV cables can be measured. For example, the mechanical load on the optical waveguide is measured based on the wavelength of the change of the reference wavelength of the measurement signal.
[0011] By evaluating this feature, different functions can be realized, such as:
[0012] • Early detection of incorrect loads on the cable that later trigger or can trigger damage,
[0013] • Identify the connections between the operational or production features and cables used in the application,
[0014] • Optimize application operation to avoid cable damage,
[0015] • Detect application errors based on mechanical measurements, and / or
[0016] • Determine the remaining life of the cable based on the application's operating data and the cable's loading data.
[0017] This characteristic is a type of fingerprint of the cable. This allows a wide range of functions to be generated.
[0018] In one embodiment of the method, the characteristic of the cable relates to at least 80% of the length of the cable. The characteristic can also relate to the entire length of the cable. For example, the fingerprint of the cable can be recorded over the entire length of the cable, the fingerprint relating to the measurement signal of the sensor or the fingerprint being the measurement signal of the sensor. For example, the recording occurs at fixed time intervals (e.g., every minute, every hour, every day, every month, etc.) and / or in a determined operating state (e.g., the cable is stationary, the cable moves, the cable is wound, the cable is unwound, etc.). For example, the fingerprint (i.e., the characteristic) of the cable changes in the first three months after the commissioning due to the winding and unwinding loads of the machinery. From the beginning, the development of the fingerprint (in particular, the development of the characteristic) can be simulated and / or predicted, so that the state of the cable can be explained from the first day. In order to simulate or predict, in particular, the number of winding and unwinding movements of the cable on the cable drum is considered. Therefore, when predicting cable data (e.g., wear, durability, etc.), the expected future application (i.e., use, application or utilization), i.e., the expected future operation, is also considered. Of course, these described functions can be used not only after three months from the commissioning, but also at other times of different lengths. For example, it can be determined whether a failure of the cable is to be expected until the next expected maintenance interval and in the case of the expected specified use / application, or whether the failure occurs with a certain probability. For example, in the case of a change in use (e.g. slower winding or unwinding), it can be determined whether the expected failure can be delayed (in particular by how long).
[0019] In one embodiment of the method, the characteristics are simulated, wherein the simulation depends on a pre-set expected use of the cable. As input variables for the simulation, measured data from sensors or variables derived therefrom are used. This is, for example, load, time, sequence of steps, and asset data. Asset data is data from a system that uses the cable. Asset data can also be referred to as operating data. Application data is also operating data. Asset data are, for example, mechanical variables, such as cable drum diameter, number of cable layers, mechanical cable data, and application operating data, such as the direction and speed of movement of the asset (system or system object), torque and / or speed of the cable drum. For example, application data are correlated with cable stress values (which are represented by characteristics) in order to detect any dependencies.
[0020] In one embodiment of the method the losses of the cables are predicted. This makes it easier to plan maintenance intervals.
[0021] In one embodiment of the method, an abnormality of the cable is detected. For example, the location of a cable fault can be detected in advance. In order to extend the life of the cable, the cable can be protected in the future, for example, at the location where the abnormality is detected. For example, the cable can be gradually decelerated (e.g., rolled up or unrolled) at a determined location.
[0022] In one embodiment of the method anomalies can be detected at an early stage based on an algorithm. Furthermore, by aggregating anomalies or stress loads as a function of intensity and frequency, the remaining life can be simulated as a function of previous operating characteristics, for example since the first day of operation or maintenance or repair.
[0023] In one embodiment of the method, in particular application-specific operating data are used for evaluating the behavior. Additional correlation with the operating data shows, for example, the optimal operating state and allows production optimization. Early anomaly detection allows passive intervention (e.g., notifying an operator that the production speed is too high). Early anomaly detection thus allows situations that will lead to failure to be detected at an early stage, allowing the operator to adjust the operation in a timely manner.
[0024] In an embodiment of the method, the inclusion or use of application data, such as torque or location of the cable, makes it possible to correlate the conditions causing potential cable damage with any problematic operational data and to geographically locate faults and fault conditions. This goes beyond pure condition monitoring solutions, which can only look in the past but cannot detect faults at an early stage.
[0025] In one embodiment of the method, a description of the state of the cable is introduced into the context of the operation of the application, making it easier to determine the cause and eliminating the need for additional on-site observations. Even invisible faults can be detected. Automatic detection and / or notification of the operator and suggestions for action are now also possible.
[0026] In a system with a cable for supplying electrical energy, in particular a trailing cable, the trailing cable has a sensor in the cable, wherein the sensor signal can be evaluated, wherein an evaluation device is provided for carrying out a method of the generic type. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] The invention is shown and explained in more detail below by way of example with the aid of the accompanying drawings. The drawings show:
[0028] Figure 1 A system with a trailing cable is shown, and
[0029] Figure 2 The cables are shown. DETAILED DESCRIPTION
[0030] according to Figure 1 The diagram of FIG. 5 shows a system 5. The system 5 is an industrial system, such as, for example, a crane or a lignite excavator. The system 5 has a cable drum 6 with a trailing cable (cable) 1. The cable 1 has a sensor, which is Figure 2 The sensor generates a sensor signal 3 which is transmitted to an evaluation device 4 .
[0031] according to Figure 2 The illustration of shows a cable 1 which has electrical conductors 7 , 7 ′ and 7 ″. As a sensor or as a sensor element (element of a sensor), the cable 1 has an optical waveguide 2 . Such a cable 1 can be monitored using one of the methods described.
Claims
1. A method for running a cable (1), wherein: The cable (1) has a sensor (2) for detecting the use of the cable (1), wherein a sensor signal (3) is stored, wherein a property of the cable (1) is generated with the aid of the sensor signal (3), wherein operating data are used to evaluate the sensor signal (3), wherein the operating data are in particular past data and / or future data which are in particular dependent on the torque and / or speed of the cable drum.
2. The method according to claim 1, wherein: Stress in the cable is predicted.
3. The method according to claim 1 or 2, wherein: A plurality of characteristics are determined at different times, wherein the characteristics are evaluated together.
4. The method according to any one of claims 1 to 3, wherein: The characteristic relates to at least 80% of the length of the cable (1).
5. The method according to any one of claims 1 to 4, wherein: The characteristics are simulated, wherein the simulation depends on a predictable intended use of the cable (1).
6. The method according to any one of claims 1 to 5, wherein: Predicting the loss of the cable (1).
7. The method according to any one of claims 1 to 6, wherein: Detecting abnormalities of the cable (1).
8. The method according to any one of claims 1 to 7, wherein: Application-specific operating data are used for the evaluation.
9. A system (5) having a cable (1) for supplying electrical energy, the cable being in particular a trailing cable (1), wherein: The trailing cable has a sensor (2) in the cable (1), wherein a sensor signal (3) can be evaluated, wherein an evaluation device (4) is provided for carrying out the method according to one of claims 1 to 8.