CN112305386A - High-voltage cable live-line detection system and method based on digital twinning technology - Google Patents
High-voltage cable live-line detection system and method based on digital twinning technology Download PDFInfo
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- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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Abstract
The invention discloses a high-voltage cable live detection system and method based on a digital twinning technology, and belongs to the technical field of live detection. The system of the invention comprises: the data acquisition unit acquires detection data; the digital twin monitoring unit sends out an alarm and carries out fuzzy positioning on the abnormity and the fault; and the sound and electricity combined detection unit is used for accurately positioning the abnormity and the fault of the high-voltage cable to be detected. The invention is easy to operate and high in safety, the system adopts the whole-process machine live detection, does not need power failure or short-distance detection of detection personnel, and has simple operation and stronger safety; the invention has short detection time and high sensitivity, and the data information acquired by the sensing equipment is analyzed and judged in real time through the twin model to map the partial discharge condition of the cable.
Description
Technical Field
The invention relates to the technical field of live detection, in particular to a high-voltage cable live detection system and method based on a digital twin technology.
Background
With the continuous enlargement of the distribution network scale, the equipment quantity is continuously increased, and how to effectively master the health state of the distribution network cable becomes a problem to be solved urgently by cable users, the cable equipment inevitably has insulation degradation formed under electric, thermal, chemical and abnormal conditions in long-term operation, so that the electrical insulation strength is reduced, even faults occur, in recent years, many sudden accidents in the distribution network are mostly caused by the insulation problem of the equipment, and experience at home and abroad shows that the measurement of the partial discharge characteristic of the electrical equipment is a good method for preventing the faults of the electrical equipment.
The traditional detection method is characterized in that the insulation condition of equipment is judged through power failure maintenance, the maintenance period of the method is long, the operation is complex, under the condition, the development of a live detection technology becomes a necessary trend of cable fault diagnosis, the live detection adopts portable detection equipment to detect the live equipment in a short time, and a fault part can be positioned without long-time data acquisition, wherein the currently most researched methods are ultrasonic detection and ultrahigh frequency detection, and the two detection methods have many advantages and defects.
Disclosure of Invention
In order to solve the above problems, the present invention provides a high voltage cable live detection system based on digital twinning technology, comprising:
the data acquisition unit monitors the running state and the working condition of the target high-voltage cable in real time to acquire detection data;
the digital twin monitoring unit calls detection data, carries out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carries out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, judges the abnormality and the fault of the high-voltage cable to be detected according to the monitoring data, sends an alarm if the abnormality and the fault exist, and carries out fuzzy positioning on the abnormality and the fault;
and the sound and electricity combined detection unit processes the sound and electricity signals by receiving the sound and electricity signals subjected to fuzzy positioning, accurately positions the abnormity and faults of the high-voltage cable to be detected, acquires images of the abnormity and faults, and stores the processed sound and electricity signals and images.
Optionally, the detecting data includes: online monitoring data and offline monitoring data.
Optionally, the digital twin monitoring unit is further configured to perform location inference of the abnormality and the fault of the high-voltage cable to be tested according to historical data of the high-voltage cable to be tested.
Optionally, the data acquisition unit is provided with a sensor and a camera, and the sensor and the camera are used for monitoring the target high-voltage cable.
Optionally, the acoustic-electric signal includes: electromagnetic wave signals and ultrasonic wave signals.
The invention also provides a high-voltage cable live-line detection method based on the digital twinning technology, which comprises the following steps:
monitoring the running state and working condition of the target high-voltage cable in real time to obtain detection data;
calling detection data, carrying out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carrying out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, carrying out abnormity and fault judgment on the high-voltage cable to be detected according to the monitoring data, and if abnormity and faults exist, sending an alarm and carrying out fuzzy positioning on the abnormity and the faults;
the sound and electricity signals are processed by receiving the sound and electricity signals which are positioned in a fuzzy mode, the abnormity and the fault of the high-voltage cable to be detected are accurately positioned, the images of the abnormity and the fault are collected, and the processed sound and electricity signals and the processed images are stored.
Optionally, the detecting data includes: online monitoring data and offline monitoring data.
Optionally, the digital twin monitoring unit is further configured to perform location inference of the abnormality and the fault of the high-voltage cable to be tested according to historical data of the high-voltage cable to be tested.
Optionally, the data acquisition unit is provided with a sensor and a camera, and the sensor and the camera are used for monitoring the target high-voltage cable.
Optionally, the acoustic-electric signal includes: electromagnetic wave signals and ultrasonic wave signals.
The invention is easy to operate and high in safety, the system adopts the whole-process machine live detection, does not need power failure or short-distance detection of detection personnel, and has simple operation and stronger safety;
the invention has short detection time and high sensitivity, and the data information acquired by the sensing equipment is analyzed and judged in real time through the twin model to map the partial discharge condition of the cable.
Drawings
FIG. 1 is a structural diagram of a high-voltage cable live detection system based on a digital twinning technology;
FIG. 2 is a model diagram of an important information collecting part of a cable according to an embodiment of the high-voltage cable live-line detection system based on the digital twinning technology;
FIG. 3 is a block diagram of a digital twinning technology-based live cable detection system according to an embodiment of the digital twinning technology-based live cable detection system of the present invention;
FIG. 4 is a schematic diagram of a digital twinning modeling of an embodiment of a high voltage cable live detection system based on a digital twinning technique according to the present invention;
FIG. 5 is a flow chart of a high-voltage cable live-line detection method based on a digital twinning technology.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
In order to solve the above problems, the present invention provides a high voltage cable live detection system based on digital twinning technology, as shown in fig. 1, including:
the data acquisition unit monitors the running state and the working condition of the target high-voltage cable in real time to acquire detection data;
the digital twin monitoring unit calls detection data, carries out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carries out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, judges the abnormality and the fault of the high-voltage cable to be detected according to the monitoring data, sends an alarm if the abnormality and the fault exist, and carries out fuzzy positioning on the abnormality and the fault;
and the sound and electricity combined detection unit processes the sound and electricity signals by receiving the sound and electricity signals subjected to fuzzy positioning, accurately positions the abnormity and faults of the high-voltage cable to be detected, acquires images of the abnormity and faults, and stores the processed sound and electricity signals and images.
Detecting data, including: online monitoring data and offline monitoring data.
And the digital twin monitoring unit is also used for performing positioning speculation on the abnormity and fault of the high-voltage cable to be tested according to the historical data of the high-voltage cable to be tested.
The data acquisition unit is provided with a sensor and a camera, and the sensor and the camera are used for monitoring the target high-voltage cable.
An acousto-electric signal comprising: electromagnetic wave signals and ultrasonic wave signals.
The invention is further illustrated by the following examples:
the invention provides scientific and accurate basis for state detection, the partial discharge of the power cable mainly comes from two parts, namely a cable body and a cable joint, firstly, the field intensity distortion of local positions is caused by the existence of air bubbles, impurities, sharp spines and the like in an insulating medium in the cable body, the field intensity reaches a certain numerical value, partial discharges occur which do not immediately form a through passage, but which, if present for a long time, cause a progressive deterioration of the insulation of the cable, possibly even a breakdown of the entire insulation, secondly, the stripping and cutting port of the cable joint has sharp corners and notches during manufacturing, the stripping and cutting edge is non-circular, the surface of the main insulating layer has scratch defects caused by stripping and cutting, the stress of the interface of the middle joint is relaxed due to long-term operation between the cable accessory and the cable body, and micro bubbles exist in the insulating layer near the connecting pipe, and the defects can cause partial discharge of the cable joint.
The cable fault comprehensive monitoring system mainly comprises a data acquisition unit, a digital twin monitoring unit and an acoustoelectric combined detection unit, and through interaction of physical entity data of the cable and a digital twin system, the cable fault comprehensive monitoring is realized by matching with specific analysis and fault positioning of an acoustoelectric combined detection robot on cable faults, so that situation perception, state early warning, fault analysis and trend prediction of the cable are realized.
According to the invention, clamp type sensors are arranged on a cable every 300m, the installation mode diagram is shown in figure 2, the electrical design data of the cable body, such as resistance and conductance when the cable is off-line, and information such as insulating materials, metal sheath materials and insulation thickness, and the current values of the cable body, a cable joint and a cable grounding wire under the normal operation condition are recorded, a twin database is recorded, 3 when the cable has multi-point partial discharge, pulse current is generated at a discharge point, the current value of the cable metal sheath ring becomes very large, the system judges that the cable has partial discharge and carries out approximate positioning through sudden change of instantaneous current values obtained by the clamp type sensors, the positioning is reduced to be within the range of 300m according to the distance between the arranged sensors, at the moment, a digital twin monitoring platform gives an alarm, and a robot is used for accurately positioning the partial discharge point by utilizing sound-electricity combined detection.
According to the digital twinning principle, as shown in fig. 3, offline detection data and online operation detection data are transmitted to a simulation platform through OPC-UA communication, a MySql database configured on the basis of the simulation platform is selected to support a twinning database, a site scene is considered, digital twinning modeling is performed on a cable in a mode of multi-software collaborative modeling such as SolidWorks and MATLAB, a three-dimensional twinning body is established, online monitoring and fault alarming are achieved, trend prediction is performed on the basis of historical data calculation, and abnormity or fault early warning is performed.
When the digital twin system gives an alarm and locates a fuzzy range, the cable is subjected to partial discharge, the detection robot receives the sound and electricity signals through the receiving array, carries out processing such as filtering and amplification on the electromagnetic wave signals and the ultrasonic wave signals, determines the accurate position of the partial discharge point of the cable in the cable by comprehensively using two methods of arrival time difference calculation and high-resolution spectrum estimation operation, and simultaneously transmits the processed signals and images to the digital twin monitoring system through the wireless transmission module to realize the analysis, storage and uploading of data, wherein the detection schematic diagram is shown in fig. 4.
According to the method, for off-line detection data collection and storage, firstly, detection of cable materials, specifications and the like is carried out, cable type, cable length, conductor materials, cross section area, insulating materials, metal sheath materials, thickness and other cable design information is recorded, then cable electrical conduction tests are respectively carried out, electrical data such as cable resistance and conductance are recorded, after all tests are completed, whether the cables meet specification requirements or not is judged, if not, the cables are rectified and modified, and off-line data collection is carried out again until the requirements are met.
And collecting and warehousing online operation detection data, installing a caliper type current sensor, wherein the detection data mainly comprise cable body current, grounding wire current, cable joint current and the like in the normal operation of the cable, and the operation state detection data must meet the cable operation standard requirements, if the operation state detection data do not meet the requirements, rectifying and modifying the operation state detection data, and acquiring online operation data again until the requirements are met.
And transmitting the offline detection data and the online operation detection data into a simulation platform through OPC-UA communication, selecting a MySql database configured on the basis of the simulation platform to support a twin database, and recording the data.
A monitoring unit for digital twins;
and taking the actual scene on site into consideration, and performing collaborative modeling by multiple software such as SolidWorks, MATLAB and the like.
And calling data in the twin database to establish a cable digital twin model.
And receiving on-line monitoring data, interacting with the digital twin model and the twin database, and supplementing and perfecting the existing digital twin model.
And (5) simulating by using historical data, and checking whether the system normally operates. And if the system fails, re-perfecting the twin model until the system simulation is checked to be normal.
The on-line monitoring is carried out by utilizing a digital twin monitoring system, so that the on-line monitoring and fault alarming of the cable are realized, and the functions of trend prediction, fault early warning and the like are carried out based on historical data calculation.
When the instantaneous current value of the sensor is abnormal, the digital twin monitoring system gives an alarm, judges that the cable has partial discharge and carries out approximate positioning, and reduces the positioning to be within 300m according to the distance between the arranged sensors.
Aiming at an acoustoelectric joint detection unit;
moving according to the approximate positioning transmitted by the digital twin monitoring platform and the input GPS map to the vicinity of the partial discharge point, and starting detection;
in the process of moving along the cable, an acoustic-electric combined receiving module is used for receiving electromagnetic wave signals and ultrasonic wave signals generated by partial discharge, and the signal receiving module comprises 1 camera, 3 UHF sensors and 128 microphone sensors.
And sending the received signals to a signal processing module for operations such as filtering, amplifying and the like.
The processed signals are sent to a fault positioning module, a three-dimensional coordinate system is established by taking the center of the UHF sensor array as a coordinate origin, and then data fusion is carried out by utilizing intelligent algorithms such as a neural network and the like according to the arrival time difference of the electromagnetic wave signals and the ultrasonic wave signals.
The coordinate of each array element AEi in the microphone array in the coordinate system is (x)i，yi，zi)，tiTime difference between ultrasonic array detection signal and reference UHF partial discharge signal,/iThe distance between a partial discharge point and a detection array is shown, lambda is the corresponding attenuation coefficient of direct waves in different materials, the value range is 0-1, (x, y, z) is the coordinate of a partial discharge source, c is the speed of an ultrasonic signal in a medium, and the three-dimensional coordinate calculation formula is as follows:
Δti＝ti-λli
and after 128 data coordinates are obtained, carrying out data fusion by using a BP neural network algorithm to obtain coordinates, and if an effective solution cannot be obtained, carrying out optimization by using a genetic algorithm until an optimal solution is found.
Obtaining a three-dimensional coordinate of a partial discharge point in a rectangular coordinate system, calculating a distance, preprocessing an ultrasonic signal received by a microphone array, performing high-resolution spectrum estimation operation, searching a direction with the maximum sound wave amplitude by using an MUSIC algorithm, obtaining a direction-of-arrival angle of a sound source signal, thus obtaining a polar coordinate, comparing the polar coordinate with the three-dimensional coordinate, obtaining an accurate coordinate under the condition of meeting an error, and thus determining the position of the partial discharge point of the cable in the cable;
and after a calculation result is obtained, opening the wireless communication module, and uploading the received signal, the partial discharge position and the like to the digital twin monitoring platform.
The invention also provides a high-voltage cable live-line detection method based on the digital twinning technology, as shown in fig. 5, comprising the following steps:
monitoring the running state and working condition of the target high-voltage cable in real time to obtain detection data;
calling detection data, carrying out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carrying out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, carrying out abnormity and fault judgment on the high-voltage cable to be detected according to the monitoring data, and if abnormity and faults exist, sending an alarm and carrying out fuzzy positioning on the abnormity and the faults;
the sound and electricity signals are processed by receiving the sound and electricity signals which are positioned in a fuzzy mode, the abnormity and the fault of the high-voltage cable to be detected are accurately positioned, the images of the abnormity and the fault are collected, and the processed sound and electricity signals and the processed images are stored.
Detecting data, including: online monitoring data and offline monitoring data.
And the digital twin monitoring unit is also used for performing positioning speculation on the abnormity and fault of the high-voltage cable to be tested according to the historical data of the high-voltage cable to be tested.
The data acquisition unit is provided with a sensor and a camera, and the sensor and the camera are used for monitoring the target high-voltage cable.
An acousto-electric signal comprising: electromagnetic wave signals and ultrasonic wave signals.
The invention is easy to operate and high in safety, the system adopts the whole-process machine live detection, does not need power failure or short-distance detection of detection personnel, and has simple operation and stronger safety;
the invention has short detection time and high sensitivity, and the data information acquired by the sensing equipment is analyzed and judged in real time through the twin model to map the partial discharge condition of the cable.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A digital twinning technology based live high voltage cable detection system, the system comprising:
the data acquisition unit monitors the running state and the working condition of the target high-voltage cable in real time to acquire detection data;
the digital twin monitoring unit calls detection data, carries out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carries out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, judges the abnormality and the fault of the high-voltage cable to be detected according to the monitoring data, sends an alarm if the abnormality and the fault exist, and carries out fuzzy positioning on the abnormality and the fault;
and the sound and electricity combined detection unit processes the sound and electricity signals by receiving the sound and electricity signals subjected to fuzzy positioning, accurately positions the abnormity and faults of the high-voltage cable to be detected, acquires images of the abnormity and faults, and stores the processed sound and electricity signals and images.
2. The system of claim 1, the detecting data, comprising: online monitoring data and offline monitoring data.
3. The method of claim 1, wherein the digital twin monitoring unit is further configured to perform location estimation of the abnormality and fault of the high-voltage cable to be tested according to historical data of the high-voltage cable to be tested.
4. The method of claim 1, the data acquisition unit being provided with a sensor and a camera, the target high voltage cable being monitored using the sensor and the camera.
5. The method of claim 1, the acousto-electric signal, comprising: electromagnetic wave signals and ultrasonic wave signals.
6. A high-voltage cable live detection method based on a digital twinning technology comprises the following steps:
monitoring the running state and working condition of the target high-voltage cable in real time to obtain detection data;
calling detection data, carrying out data twin modeling on a target high-voltage cable according to the detection data to generate a three-dimensional twin body, carrying out online monitoring on the high-voltage cable to be detected by using the three-dimensional twin body to obtain monitoring data of the high-voltage cable to be detected, carrying out abnormity and fault judgment on the high-voltage cable to be detected according to the monitoring data, and if abnormity and faults exist, sending an alarm and carrying out fuzzy positioning on the abnormity and the faults;
the sound and electricity signals are processed by receiving the sound and electricity signals which are positioned in a fuzzy mode, the abnormity and the fault of the high-voltage cable to be detected are accurately positioned, the images of the abnormity and the fault are collected, and the processed sound and electricity signals and the processed images are stored.
7. The method of claim 6, the detecting data, comprising: online monitoring data and offline monitoring data.
8. The method as claimed in claim 6, wherein the digital twin monitoring unit is further configured to perform location estimation of abnormality and fault of the high-voltage cable to be tested according to historical data of the high-voltage cable to be tested.
9. The method of claim 6, the data acquisition unit being provided with a sensor and a camera, the target high voltage cable being monitored using the sensor and the camera.
10. The method of claim 6, the acousto-electric signal, comprising: electromagnetic wave signals and ultrasonic wave signals.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113591295A (en) * | 2021-07-23 | 2021-11-02 | 江苏电力信息技术有限公司 | Power cable management method based on digital twinning |
| CN114295942A (en) * | 2021-11-29 | 2022-04-08 | 国网北京市电力公司 | Power cable fault diagnosis system, and method and device for determining fault of power cable |
| CN114299045A (en) * | 2021-12-30 | 2022-04-08 | 成都益新云信息技术有限公司 | Situation perception system and method based on digital twin |
| CN115218876A (en) * | 2022-07-19 | 2022-10-21 | 中国南方电网有限责任公司超高压输电公司昆明局 | Safe distance discrimination method, apparatus, computer device, medium, and program product |
| CN116308302A (en) * | 2023-05-19 | 2023-06-23 | 深圳抛物线科技有限公司 | Digital twinning-based advanced warning method and system for potential insulation hazards |
| CN116563783A (en) * | 2023-05-04 | 2023-08-08 | 上海东普信息科技有限公司 | Violation warning method, device, equipment and storage medium based on digital twin |
| CN116961230A (en) * | 2023-07-26 | 2023-10-27 | 北京达三江电器设备厂 | Intelligent power distribution cabinet for various occasions |
| CN118200361A (en) * | 2024-05-16 | 2024-06-14 | 中煤科工集团北京华宇工程有限公司 | Intelligent mine safety detection method and system based on digital twinning |
| EP4390408A1 (en) * | 2022-12-22 | 2024-06-26 | Nexans | System for monitoring leakage currents in high-voltage cables |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101666850A (en) * | 2009-09-29 | 2010-03-10 | 延安供电局 | Acoustic-electric detection device for insulation defects of power cable |
| CN106707128A (en) * | 2017-03-16 | 2017-05-24 | 国家电网公司 | Acoustoelectric associated local cable discharge locating device and method |
| CN107478967A (en) * | 2017-08-03 | 2017-12-15 | 国网山东省电力公司济南供电公司 | Towards the 10KV cable local discharges on-line monitoring system and method for mobile fortune inspection |
| CN110794262A (en) * | 2019-12-13 | 2020-02-14 | 广东电网有限责任公司 | Submarine cable fault accurate positioning system and method thereof |
| CN111754754A (en) * | 2020-06-19 | 2020-10-09 | 上海奇梦网络科技有限公司 | Real-time equipment monitoring method based on digital twinning technology |
-
2020
- 2020-10-23 CN CN202011145886.0A patent/CN112305386A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101666850A (en) * | 2009-09-29 | 2010-03-10 | 延安供电局 | Acoustic-electric detection device for insulation defects of power cable |
| CN106707128A (en) * | 2017-03-16 | 2017-05-24 | 国家电网公司 | Acoustoelectric associated local cable discharge locating device and method |
| CN107478967A (en) * | 2017-08-03 | 2017-12-15 | 国网山东省电力公司济南供电公司 | Towards the 10KV cable local discharges on-line monitoring system and method for mobile fortune inspection |
| CN110794262A (en) * | 2019-12-13 | 2020-02-14 | 广东电网有限责任公司 | Submarine cable fault accurate positioning system and method thereof |
| CN111754754A (en) * | 2020-06-19 | 2020-10-09 | 上海奇梦网络科技有限公司 | Real-time equipment monitoring method based on digital twinning technology |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113591295A (en) * | 2021-07-23 | 2021-11-02 | 江苏电力信息技术有限公司 | Power cable management method based on digital twinning |
| CN114295942B (en) * | 2021-11-29 | 2024-03-15 | 国网北京市电力公司 | Power cable fault diagnosis system, power cable fault determination method and device |
| CN114295942A (en) * | 2021-11-29 | 2022-04-08 | 国网北京市电力公司 | Power cable fault diagnosis system, and method and device for determining fault of power cable |
| CN114299045A (en) * | 2021-12-30 | 2022-04-08 | 成都益新云信息技术有限公司 | Situation perception system and method based on digital twin |
| CN115218876A (en) * | 2022-07-19 | 2022-10-21 | 中国南方电网有限责任公司超高压输电公司昆明局 | Safe distance discrimination method, apparatus, computer device, medium, and program product |
| EP4390408A1 (en) * | 2022-12-22 | 2024-06-26 | Nexans | System for monitoring leakage currents in high-voltage cables |
| CN116563783A (en) * | 2023-05-04 | 2023-08-08 | 上海东普信息科技有限公司 | Violation warning method, device, equipment and storage medium based on digital twin |
| CN116563783B (en) * | 2023-05-04 | 2024-06-11 | 上海东普信息科技有限公司 | Violation warning method, device, equipment and storage medium based on digital twin |
| CN116308302B (en) * | 2023-05-19 | 2023-08-08 | 深圳抛物线科技有限公司 | Digital twinning-based advanced warning method and system for potential insulation hazards |
| CN116308302A (en) * | 2023-05-19 | 2023-06-23 | 深圳抛物线科技有限公司 | Digital twinning-based advanced warning method and system for potential insulation hazards |
| CN116961230A (en) * | 2023-07-26 | 2023-10-27 | 北京达三江电器设备厂 | Intelligent power distribution cabinet for various occasions |
| CN116961230B (en) * | 2023-07-26 | 2024-02-09 | 北京达三江电器设备厂 | Intelligent power distribution cabinet for various occasions |
| CN118200361A (en) * | 2024-05-16 | 2024-06-14 | 中煤科工集团北京华宇工程有限公司 | Intelligent mine safety detection method and system based on digital twinning |
| CN118200361B (en) * | 2024-05-16 | 2024-07-16 | 中煤科工集团北京华宇工程有限公司 | Intelligent mine safety detection method and system based on digital twinning |
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