CN110672996A - Urban cable multidimensional data integrated live detection device - Google Patents
Urban cable multidimensional data integrated live detection device Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- 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
- G01R31/1227—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
- G01R31/1263—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
- 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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- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
The invention discloses a multi-dimensional data integrated live detection device for an urban cable, which solves the problems of high manual detection cost, low efficiency, various detection devices, single function, low intelligent degree and the like. The invention comprises a three-layer topological architecture of a data acquisition layer, a data acquisition and processing layer and a data communication layer. The invention is convenient and fast, has high detection efficiency, comprehensively and intelligently analyzes and detects the multidimensional data of the power warehouse cable wirelessly transmitted by the result, thereby guiding operation and maintenance personnel to scientifically arrange production operation management work and greatly improving the operation and detection efficiency of the cable in the urban comprehensive management power warehouse.
Description
Technical Field
The invention relates to the field of electrified detection of cables in power bins, in particular to an electrified detection device for multi-dimensional data integration of urban cables.
Background
The utility tunnel is the super aorta in city, and trunk and branch line vertically and horizontally distributes and increase day by day, and wherein high tension cable circuit distance is long in the power storehouse, and quantity is huge. Therefore, the safe and reliable operation of the cable line in the power warehouse is an important guarantee for the safe and reliable operation of the power grid system and the underground comprehensive pipe gallery.
According to analysis of the fault rate of a cable line, most of the parts with the cable faults are concentrated on cable accessories (cable terminals and cable intermediate joints are collectively called as cable joints hereinafter), the parts are processed and manufactured through on-site secondary processes, the process level of each construction unit is different, potential hidden dangers exist in the manufacturing engineering, and the hidden dangers can cause internal partial discharge, heating, abnormal grounding circulation and the like due to insulation moisture, aging and the like after long-time operation, so that the cable equipment faults are easily caused.
However, the utility tunnel power storehouse is special because the environment, and traditional cable run manual inspection mode often needs many people to go on, dispose the check out test set of different functions, manually transcribes and is surveyed cable information, each item testing result that manually gathers, has artifical detection cost height, inefficiency and check out test set numerous, function singleness, intelligent degree scheduling problem not high.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the invention provides a multi-dimensional data integrated live detection device for urban cables, which solves the problems of high manual detection cost, low efficiency, various detection devices, single function, low intelligent degree and the like.
The invention is realized by the following technical scheme:
an urban cable multidimensional data integration live detection device is characterized in that the architecture topology of the urban cable multidimensional data integration live detection device comprises a data sensing layer for measuring cable joint data to be detected, a data acquisition and processing layer for integrally converting and storing the measured data of the data sensing layer and a data communication layer for transmitting the converted data of the data acquisition and processing layer to a monitoring platform in a wireless communication mode;
furthermore, the data sensing layer comprises a partial discharge acquisition unit, a sheath circulating current acquisition unit, an infrared temperature acquisition unit, an RFID inspection unit and a power frequency phase acquisition unit;
furthermore, the partial discharge acquisition unit comprises a high-frequency pulse current sensor for measuring a partial discharge signal of the cable joint to be measured;
further, the sheath circulating current collecting unit comprises a sheath circulating current sensor for measuring the sheath circulating current of the cable joint to be measured;
furthermore, the infrared temperature acquisition unit comprises an infrared thermal imager for acquiring temperature information of the cable joint to be detected;
furthermore, the RFID inspection unit comprises an RFID reader and an RFID electronic tag on the cable joint to be detected;
furthermore, the power frequency phase acquisition unit comprises a flexible current power frequency phase transformer for acquiring power frequency phase information of the cable to be detected in real time;
furthermore, the data acquisition and processing layer comprises a data acquisition unit for integrating the data acquired by the data sensing layer and a host for storing the data acquired by the data sensing layer after conversion;
further, the data communication layer comprises a wireless communication network for transmitting the converted data to the monitoring platform;
furthermore, various data collected by the data sensing layer are processed in the data collecting and processing layer, partial discharge signal information collected by the partial discharge collecting unit is compared with historical records to judge whether abnormality occurs or not, the partial discharge signal information is compared with a typical discharge diagram to judge the type of partial discharge, the partial discharge signal information is compared with other different phases in three phases to judge the type of a cable joint with the partial discharge, sheath circulation information collected by the sheath circulation collecting unit is compared with a sheath circulation threshold, infrared temperature collected by the infrared temperature collecting unit is compared with an infrared temperature threshold, whether partial discharge occurs or not and the degree of discharge are further judged again, and a discharge trend analysis diagram is drawn by combining analysis data.
Further, the partial discharge signal and the noise signal collected in the partial discharge collecting and processing unit are processed by a noise filtering algorithm.
Further, the wireless communication network includes one or more wireless communication modes of GPRS, Zigbee, wifi, and bluetooth.
Furthermore, the sheath circulating current acquisition unit and the power frequency phase acquisition unit adopt an open-close type current transformer with the range of 0-200A and a 0-5A standard alternating current detection interface with the accuracy of 0.5 level.
Furthermore, the resolution of a thermal imager used by the infrared temperature acquisition unit is less than or equal to 0.1 ℃, and the temperature measurement range is-30 ℃ to 300 ℃.
Further, the information on the RFID tag includes a cable line name, a cable joint position/number, a detection item, and workflow information.
Further, the power supply module and the power supply interface are also included.
Further, the data communication layer further comprises an antenna.
Further, three high-frequency current pulse sensors are adopted to measure partial discharge signals of the cable joint, and a discharge trend analysis chart is drawn.
A detection method of an urban cable multi-dimensional data integrated live detection device comprises the following steps:
s1, scanning the RFID electronic tag on the cable to be detected by using the RFID reader to acquire the line name of the cable to be detected, the position/number of the cable joint, the detection item and the operation flow information;
forming detection items after S2 and S1, and correspondingly adopting one or more of a partial discharge acquisition unit, a sheath circulating current acquisition unit and an infrared temperature acquisition unit to carry out signal acquisition on the joint of the cable to be detected;
the information of the tested cable collected after S3 and S2 is transmitted to a host computer for waveform/map interface display, and the health state of the joint of the tested cable is comprehensively and intelligently evaluated through longitudinal comparison with historical data, transverse comparison with different phases, comparison with a typical discharge map, comparison with a sheath circulation threshold value and comparison with an infrared temperature threshold value;
s31, if the detection result is normal, the relevant data result is stored and then the cable joint to be detected is moved to the next cable joint to be detected for detection;
s32, if the detection result is abnormal, retesting is needed again, starting from the step S2, if the second result is still abnormal, the equipment of the joint of the detected cable is judged to have a problem, and then the joint of the next cable to be detected is continuously detected;
s4, repeating S1 to S3 until all cable connectors in the power bin are detected;
and S5, transmitting all detection data to the monitoring platform through the wireless communication network in the comprehensive pipe rack.
Further, the host computer also comprises a fault identification unit, and the fault identification unit adopts a double-end positioning algorithm.
The signal voltage collected by the data sensing layer at the joint of the cable to be detected is very small, a series of waveform display is generated on a display screen on the host machine through the amplification conversion and the integrated processing of the data collecting and processing layer, the pulse waveform and the point discharge times can be measured according to the quadrant of the power frequency period in which the partial discharge occurs, the characteristics of the whole partial discharge process are observed, and the approximate type of the partial discharge can be determined.
The method is characterized in that partial discharge amplitude value information of three input interfaces is acquired by analyzing three high-frequency current pulse sensors, different amplitude changes are generated due to different three-phase information of a detected cable interface, partial discharge times are calculated according to sampling frequency, namely power frequency information, the times change on a measuring time axis is obtained, when the discharge times are increased, abnormal discharge conditions are generated, a typical discharge map is combined, the discharge conditions of the different phases of the cable interface are compared, historical partial discharge information of the cable interface is compared, then according to circulating current sheath information and infrared temperature information detected by a circulating current sheath sensor and an infrared temperature sensor, a threshold value method is adopted for the circulating current sheath information and the infrared temperature information, whether partial discharge and the generated partial discharge degree of the cable to be detected are generated or not is further judged, a double-end positioning algorithm is adopted, and fault positions are quickly positioned through a fault identification unit, and then arranging workers to carry out overhaul and maintenance.
The principle of the double-end positioning algorithm is that after a partial discharge signal occurs, the partial discharge signal can be captured by high-frequency pulse current sensors arranged on grounding wires of cable joints on two sides, the two urban cable multi-dimensional data integrated live detection devices are used for simultaneously detecting and recording the arrival time of waveforms, and after the length of a cable is determined, the position of a partial discharge source can be accurately calculated according to time difference through a software algorithm.
The invention has the following advantages and beneficial effects:
the traditional inspection equipment has single function, if omnibearing detection is carried out, multiple instruments and equipment are always required to be carried by multiple persons for respectively carrying out detection in sequence, and the traditional inspection equipment is time-consuming, labor-consuming and low in efficiency; the device integrates the local discharge acquisition unit, the sheath circulating current acquisition unit and the infrared temperature acquisition unit, and a single device can carry out omnibearing detection on the running states of the cables and accessories thereof in the power bin;
the traditional inspection mode needs a tester to manually copy the information of the tested cable, and the device scans the RFID electronic tag on the cable to be tested through the RFID reader to obtain the information of the line name of the cable to be tested, the position/number of a cable joint, a test item, an operation process and the like, can perfect the information of the tester, the operation environment, the operation date and the like on a human-computer interaction interface, and has the advantages of convenience, rapidness, high detection efficiency and paperless operation;
the device can realize longitudinal comparison of the detection result with historical data, transverse comparison with different phases, comparison with a typical discharge map, comparison with a sheath circulation threshold and comparison with an infrared temperature threshold through an internal intelligent algorithm, and comprehensively and intelligently evaluate the health state of the tested cable joint;
the device can send the detection data result to the monitoring platform through a wireless network, thereby guiding operation and maintenance personnel to scientifically arrange maintenance, overhaul and production operation management work and reducing unnecessary maintenance and overhaul cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a normal power frequency cycle discharge diagram of the present invention.
Fig. 2 is a discharge diagram of an abnormal power frequency cycle according to the present invention.
Fig. 3 is a discharge trend analysis chart of the present invention.
Fig. 4 is a schematic diagram of the structural principle of the present invention.
FIG. 5 is a schematic view of a sensor in the apparatus of the present invention.
Detailed Description
Before any embodiments of the invention are explained in detail, it is to be understood that the invention is not limited in its application to the details of construction and the arrangements of components set forth in the following description or illustrated in the drawings. The invention is capable of other embodiments and of being practiced or of being carried out in various ways. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any inventive changes, are within the scope of the present invention.
The invention is realized by the following technical scheme:
an urban cable multidimensional data integrated live detection device is shown in figures 1, 2, 3, 4 and 5, and the architecture topology of the urban cable multidimensional data integrated live detection device comprises a data sensing layer for measuring cable joint data to be detected, a data acquisition and processing layer for integrally converting and storing the data measured by the data sensing layer, and a data communication layer for transmitting the data converted by the data acquisition and processing layer to a monitoring platform in a wireless communication manner;
preferably, the data sensing layer comprises a partial discharge acquisition unit, a sheath circulating current acquisition unit, an infrared temperature acquisition unit, an RFID inspection unit and a power frequency phase acquisition unit;
preferably, the partial discharge acquisition unit comprises a high-frequency pulse current sensor for measuring a partial discharge signal of the cable joint to be measured;
preferably, the sheath circulating current collecting unit comprises a sheath circulating current sensor for measuring the sheath circulating current of the cable joint to be measured;
preferably, the infrared temperature acquisition unit comprises an infrared thermal imager for acquiring temperature information of the cable joint to be detected;
preferably, the RFID polling unit comprises an RFID reader and an RFID electronic tag on the cable joint to be tested;
preferably, the power frequency phase acquisition unit comprises a flexible current power frequency phase transformer for acquiring power frequency phase information of the cable to be detected in real time;
preferably, the data acquisition and processing layer comprises a data acquisition unit for integrating the data acquired by the data sensing layer and a host for storing the data acquired by the data sensing layer after conversion;
preferably, the data communication layer comprises a wireless communication network for transmitting the converted data to the monitoring platform;
preferably, the data acquisition and processing layer processes various data acquired by the data sensing layer, the partial discharge signal information acquired by the partial discharge acquisition unit is compared with a historical record to judge whether abnormality occurs or not, the partial discharge signal information is compared with a typical discharge diagram to judge the type of partial discharge, the partial discharge signal information is compared with other different phases in three phases to judge whether a cable joint with partial discharge occurs or not, the sheath circulation information acquired by the sheath circulation acquisition unit is compared with a sheath circulation threshold, the infrared temperature acquired by the infrared temperature acquisition unit is compared with an infrared temperature threshold, whether partial discharge occurs or not and the degree of discharge is further judged again, and a discharge trend analysis diagram is drawn in combination with analysis data.
Preferably, the partial discharge acquisition and processing unit processes the acquired partial discharge signal and the acquired noise signal by using a noise filtering algorithm.
Preferably, the wireless communication network includes one or more wireless communication modes of GPRS, Zigbee, wifi, and bluetooth.
Preferably, the sheath circulating current acquisition unit and the power frequency phase acquisition unit adopt an open-close type current transformer with the range of 0-200A and a 0-5A standard alternating current detection interface with the accuracy of 0.5 level.
Preferably, the resolution of a thermal imager used by the infrared temperature acquisition unit is less than or equal to 0.1 ℃, and the temperature measurement range is-30 ℃ to 300 ℃.
Preferably, the information on the RFID tag includes a cable line name, a cable joint position/number, a detection item, and workflow information.
Preferably, the power supply device further comprises a power supply module and a power supply interface.
Preferably, the data communication layer further comprises an antenna.
A detection method of an urban cable multi-dimensional data integrated live detection device comprises the following steps:
s1, scanning the RFID electronic tag on the cable to be detected by using the RFID reader to acquire the line name of the cable to be detected, the position/number of the cable joint, the detection item and the operation flow information;
forming detection items after S2 and S1, and correspondingly adopting one or more of a partial discharge acquisition unit, a sheath circulating current acquisition unit and an infrared temperature acquisition unit to carry out signal acquisition on the joint of the cable to be detected;
the information of the tested cable collected after S3 and S2 is transmitted to a host computer for waveform/map interface display, and the health state of the joint of the tested cable is comprehensively and intelligently evaluated through longitudinal comparison with historical data, transverse comparison with different phases, comparison with a typical discharge map, comparison with a sheath circulation threshold value and comparison with an infrared temperature threshold value;
s31, if the detection result is normal, the relevant data result is stored and then the cable joint to be detected is moved to the next cable joint to be detected for detection;
s32, if the detection result is abnormal, retesting is needed again, starting from the step S2, if the second result is still abnormal, the equipment of the joint of the detected cable is judged to have a problem, and then the joint of the next cable to be detected is continuously detected;
s4, repeating S1 to S3 until all cable connectors in the power bin are detected;
and S5, transmitting all detection data to the monitoring platform through the wireless communication network in the comprehensive pipe rack.
Preferably, the host further comprises a fault identification unit, and the fault identification unit adopts a double-end positioning algorithm.
Preferably, as shown in fig. 1, the normal power frequency period discharge diagram is a weak noise signal existing in the whole power frequency phase period, and the abnormal power frequency discharge diagram generates a large amplitude abnormal voltage value set (as shown in fig. 2) between the power frequency phase 50-150 ° and 200-300 ° compared with the normal power frequency discharge diagram, the partial discharge frequency is calculated by the set discharge threshold, and is combined with the recorded time to form a curve as shown in fig. 3, and as shown in fig. 5, three more stable straight lines of CH1, CH2 and CH3 are input into the high-frequency pulse current sensor to measure the partial discharge voltage information of the cable joint to be measured, an algorithm is applied to combine with the data of fig. 1 and 2 to generate a partial discharge period curve, i.e. a broken line in fig. 3, and the abnormal power frequency partial discharge position is found after longitudinal comparison with historical data, transverse comparison with different phases, comparison with a typical discharge diagram, and comparison with a sheath circulating current threshold, and appointing a worker to carry out maintenance.
Preferably, as shown in fig. 1, the partial discharge diagram generated in the normal power frequency period is a partial discharge diagram generated in the normal power frequency period, where the normal power frequency period discharge diagram is a weak noise signal existing in the whole power frequency phase period, and as shown in fig. 2, the partial discharge diagram is a large-amplitude abnormal voltage value set between the power frequency phase of 50-150 ° and between 200-300 °, and the generated voltage amplitude is larger than the normal value after interference is eliminated through multiple comparisons, which is the cable partial discharge condition.
Preferably, the broken line shown in fig. 3 is a partial discharge frequency obtained by combining voltage information measured by the high-frequency current sensor with power frequency cycle calculation, when the discharge frequency increases gradually with time, the early warning cable may generate abnormal partial discharge, infrared temperature information and sheath circulation information measured in the abnormal partial discharge period are compared, and if the infrared temperature information and the sheath circulation information in the abnormal partial discharge period are abnormal, the judgment is integrated to know that the cable generates abnormal partial discharge, the monitoring platform knows the abnormal condition, and a worker is dispatched to perform maintenance in time.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The urban cable multidimensional data integrated live detection device is characterized in that the architecture topology of the urban cable multidimensional data integrated live detection device comprises a data sensing layer for measuring cable joint data to be detected, a data acquisition and processing layer for integrally converting and storing the measured data of the data sensing layer and a data communication layer for transmitting the converted data of the data acquisition and processing layer to a monitoring platform in a wireless communication mode;
the data sensing layer comprises a partial discharge acquisition unit, a sheath circulating current acquisition unit, an infrared temperature acquisition unit, an RFID inspection unit and a power frequency phase acquisition unit;
the partial discharge acquisition unit comprises a high-frequency pulse current sensor for measuring a partial discharge signal of the cable joint to be measured;
the sheath circulating current acquisition unit comprises a sheath circulating current sensor for measuring the sheath circulating current of the cable joint to be measured;
the infrared temperature acquisition unit comprises an infrared thermal imager for acquiring temperature information of the cable joint to be detected;
the RFID inspection unit comprises an RFID reader and an RFID electronic tag on a cable joint to be detected;
the power frequency phase acquisition unit comprises a flexible current power frequency phase transformer for acquiring power frequency phase information of a cable to be detected in real time;
the data acquisition and processing layer comprises a data acquisition unit for integrating data acquired by the data sensing layer and a host for storing the data acquired by the data sensing layer after conversion;
the data communication layer comprises a wireless communication network for transmitting the converted data to the monitoring platform;
the data acquisition and processing layer processes various data acquired by the data sensing layer, partial discharge signal information acquired by the partial discharge acquisition unit is compared with historical records to judge whether abnormality occurs or not, the partial discharge type is judged by comparing the abnormal partial discharge signal information with a typical discharge diagram, the partial discharge type is judged by comparing the abnormal partial discharge signal information with other different phases in three phases, the cable joint with partial discharge is judged to be different, sheath circulation information acquired by the sheath circulation acquisition unit is compared with a sheath circulation threshold, the infrared temperature acquired by the infrared temperature acquisition unit is compared with the infrared temperature threshold, whether partial discharge occurs or not and the discharge degree is further judged again, and a discharge trend analysis diagram is drawn by combining analysis data.
2. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein the partial discharge acquisition and processing unit applies a noise filtering algorithm to the acquired partial discharge signals and noise signals.
3. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein the wireless communication network comprises one or more wireless communication modes selected from GPRS, Zigbee, wifi, and bluetooth.
4. The urban cable multidimensional data integrated live detection device according to claim 1, wherein the sheath circulating current acquisition unit and the power frequency phase acquisition unit adopt an open-close type current transformer with a range of 0-200A and a 0-5A standard alternating current detection interface with an accuracy of 0.5 level.
5. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein a thermal imager used by the infrared temperature acquisition unit has a resolution less than or equal to 0.1 ℃ and a temperature measurement range of-30 ℃ to 300 ℃.
6. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein the information on the RFID tag comprises cable line name, cable joint position/number, detection item, and workflow information.
7. The urban cable multi-dimensional data integrated live detection device according to claim 1, further comprising a power module and a power interface.
8. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein the data communication layer further comprises an antenna.
9. The detection method of the urban cable multi-dimensional data integrated live detection device based on any one of claims 1 to 8, characterized by comprising the following steps:
s1, scanning the RFID electronic tag on the cable to be detected by using the RFID reader to acquire the line name of the cable to be detected, the position/number of the cable joint, the detection item and the operation flow information;
s2, forming a detection item after S1, and correspondingly adopting one or more of a partial discharge acquisition unit, a sheath circulating current acquisition unit and an infrared temperature acquisition unit to carry out signal acquisition on the joint of the cable to be detected;
s3, transmitting the information of the tested cable acquired after S2 to a host for waveform/map interface display, and comprehensively and intelligently evaluating the health state of the joint of the tested cable by longitudinally comparing with historical data, transversely comparing with different phases, comparing with a typical discharge map, comparing with a sheath circulation threshold and comparing with an infrared temperature threshold;
s31, if the detection result is normal, the relevant data result is stored and then the cable joint to be detected is moved to the next cable joint to be detected for detection;
s32, if the detection result is abnormal, retesting is needed again, starting from the step S2, if the second result is still abnormal, the equipment of the joint of the detected cable is judged to have a problem, and then the joint of the next cable to be detected is continuously detected;
s4, repeating S1-S3 until all cable connectors in the power bin are detected;
and S5, transmitting all detection data to the monitoring platform through the wireless communication network in the comprehensive pipe rack.
10. The urban cable multi-dimensional data integrated live detection device according to claim 1, wherein the host further comprises a fault identification unit, and the fault identification unit employs a double-end positioning algorithm.
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| CN201910967164.4A CN110672996A (en) | 2019-10-12 | 2019-10-12 | Urban cable multidimensional data integrated live detection device |
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| CN201910967164.4A CN110672996A (en) | 2019-10-12 | 2019-10-12 | Urban cable multidimensional data integrated live detection device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562892A (en) * | 2020-04-02 | 2020-08-21 | 贵州电网有限责任公司 | Method for printing label on mobile device in transformer substation through Bluetooth |
| CN112485720A (en) * | 2020-12-21 | 2021-03-12 | 南方电网电力科技股份有限公司 | Cable insulation defect detection method and device |
| CN113011613A (en) * | 2021-04-15 | 2021-06-22 | 西南石油大学 | Intelligent submarine cable maintenance decision recommendation method based on multi-dimensional information fusion |
| CN114218967A (en) * | 2021-11-29 | 2022-03-22 | 国网山东省电力公司五莲县供电公司 | Current transmission carrier management and control system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590670A (en) * | 2012-02-22 | 2012-07-18 | 广东电网公司珠海供电局 | High voltage cable smart grounding box |
| CN106019039A (en) * | 2016-08-11 | 2016-10-12 | 国网江苏省电力公司电力科学研究院 | Assembly line automatic detection system and method for standard relay protection device |
| CN106200526A (en) * | 2016-07-27 | 2016-12-07 | 浙江警安科技有限公司 | Pipe gallery online monitoring system and monitoring method thereof |
| CN106680672A (en) * | 2015-11-05 | 2017-05-17 | 云南电网有限责任公司昆明供电局 | Portable switchgear partial discharge patrol detection system |
| CN107316133A (en) * | 2017-06-02 | 2017-11-03 | 国网宁夏电力公司宁东供电局 | Based on Internet of Things partial discharge electrification detection data platform and GPS emerging systems |
| CN107367671A (en) * | 2017-06-29 | 2017-11-21 | 国网辽宁省电力有限公司电力科学研究院 | GIS partial discharge live detection and data management platform based on Internet of Things mark |
| CN206876810U (en) * | 2017-07-03 | 2018-01-12 | 杭州欣美成套电器制造有限公司 | A kind of high-voltage intelligent grounding box on-Line Monitor Device |
| CN107991999A (en) * | 2017-11-09 | 2018-05-04 | 北京许继电气有限公司 | Power cable tunnel comprehensive monitoring system and method |
| CN108802547A (en) * | 2018-06-12 | 2018-11-13 | 国网江苏省电力有限公司电力科学研究院 | A kind of relay protection device of intelligent substation Auto-Test System and method based on cloud storage |
| CN109283433A (en) * | 2018-10-24 | 2019-01-29 | 国网山东省电力公司济南供电公司 | A kind of cable joint-detection device and method for shelf depreciation and grounding circulation |
| CN209247956U (en) * | 2018-12-05 | 2019-08-13 | 上海华乘智能设备有限公司 | A kind of multi-functional cable shelf depreciation intelligent inspection tour instrument |
-
2019
- 2019-10-12 CN CN201910967164.4A patent/CN110672996A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590670A (en) * | 2012-02-22 | 2012-07-18 | 广东电网公司珠海供电局 | High voltage cable smart grounding box |
| CN106680672A (en) * | 2015-11-05 | 2017-05-17 | 云南电网有限责任公司昆明供电局 | Portable switchgear partial discharge patrol detection system |
| CN106200526A (en) * | 2016-07-27 | 2016-12-07 | 浙江警安科技有限公司 | Pipe gallery online monitoring system and monitoring method thereof |
| CN106019039A (en) * | 2016-08-11 | 2016-10-12 | 国网江苏省电力公司电力科学研究院 | Assembly line automatic detection system and method for standard relay protection device |
| CN107316133A (en) * | 2017-06-02 | 2017-11-03 | 国网宁夏电力公司宁东供电局 | Based on Internet of Things partial discharge electrification detection data platform and GPS emerging systems |
| CN107367671A (en) * | 2017-06-29 | 2017-11-21 | 国网辽宁省电力有限公司电力科学研究院 | GIS partial discharge live detection and data management platform based on Internet of Things mark |
| CN206876810U (en) * | 2017-07-03 | 2018-01-12 | 杭州欣美成套电器制造有限公司 | A kind of high-voltage intelligent grounding box on-Line Monitor Device |
| CN107991999A (en) * | 2017-11-09 | 2018-05-04 | 北京许继电气有限公司 | Power cable tunnel comprehensive monitoring system and method |
| CN108802547A (en) * | 2018-06-12 | 2018-11-13 | 国网江苏省电力有限公司电力科学研究院 | A kind of relay protection device of intelligent substation Auto-Test System and method based on cloud storage |
| CN109283433A (en) * | 2018-10-24 | 2019-01-29 | 国网山东省电力公司济南供电公司 | A kind of cable joint-detection device and method for shelf depreciation and grounding circulation |
| CN209247956U (en) * | 2018-12-05 | 2019-08-13 | 上海华乘智能设备有限公司 | A kind of multi-functional cable shelf depreciation intelligent inspection tour instrument |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562892A (en) * | 2020-04-02 | 2020-08-21 | 贵州电网有限责任公司 | Method for printing label on mobile device in transformer substation through Bluetooth |
| CN112485720A (en) * | 2020-12-21 | 2021-03-12 | 南方电网电力科技股份有限公司 | Cable insulation defect detection method and device |
| CN112485720B (en) * | 2020-12-21 | 2021-09-14 | 南方电网电力科技股份有限公司 | Cable insulation defect detection method and device |
| CN113011613A (en) * | 2021-04-15 | 2021-06-22 | 西南石油大学 | Intelligent submarine cable maintenance decision recommendation method based on multi-dimensional information fusion |
| CN114218967A (en) * | 2021-11-29 | 2022-03-22 | 国网山东省电力公司五莲县供电公司 | Current transmission carrier management and control system |
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Application publication date: 20200110 |