CN112213667A - Tunnel multi-state monitoring method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention provides a tunnel multi-state monitoring method, a tunnel multi-state monitoring device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring first state information and second state information of each terminal acquisition node for acquiring a cable in real time, wherein the first state information and the second state information both carry corresponding address labels; calling standard fluctuation ranges of the first state information and the second state information, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively; judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range; and if the first state information is not in the first standard range and/or the second state information is not in the second standard range, calling a corresponding monitoring picture through the address tag. The invention can accurately judge the abnormal state of the cable and process the abnormal state in time, thereby improving the efficiency of processing the abnormal state of the cable.
Description
Technical Field
The invention relates to the technical field of power cables, in particular to a tunnel multi-state monitoring method and device, computer equipment and a storage medium.
Background
In recent years, with the increasing of urban power load density, the requirement of urban planning on the consistency of power transmission line corridors is more and more strict. The cable tunnel is used as the highest form for laying the high-voltage transmission line, and has been more and more widely applied to the construction of large and medium-sized urban power grids due to the characteristics of environmental friendliness, large section transmission capacity, large number of loops and the like. Along with the increase of the urban scale and the acceleration of the construction speed, the power cable power supply network is also developed rapidly, and the underground power supply network with large scale and numerous cable distribution is used as a main transmission means of urban power and is of great importance for the operation monitoring and state evaluation of cable equipment and channels thereof.
However, in the prior art, the state evaluation of the cable usually adopts single state information, which cannot accurately judge the state of the cable, occasionally results in wrong judgment and waste of manpower and resources.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a tunnel multi-state monitoring method, apparatus, computer device and storage medium.
A tunnel multi-state monitoring method comprises a plurality of terminal acquisition nodes and a monitoring host, wherein the terminal acquisition nodes are in a chain structure and used for acquiring cable states, the monitoring host is connected with the terminal acquisition nodes, the terminal acquisition nodes and the monitoring host perform data interaction through a wireless network, and the monitoring host and a monitoring center perform data interaction through a TCP/IP network; the method comprises the following steps: acquiring first state information and second state information of each terminal acquisition node for acquiring a cable in real time, wherein the first state information and the second state information both carry corresponding address labels; calling standard fluctuation ranges of the first state information and the second state information, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively; judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range; and if the first state information is not in the first standard range and/or the second state information is not in the second standard range, calling a corresponding monitoring picture through the address tag.
In one embodiment, the first state information and the second state information may be: the system comprises oxygen content state information in air in a cable tunnel, harmful gas state information in air, tunnel water level state information, electric power tunnel well lid state information, electric power well lid state information, grounding current state information, cable temperature state information and smoke state information in the tunnel.
In one embodiment, the retrieving the standard fluctuation ranges of the first status information and the second status information, which are respectively a first standard fluctuation range and a second standard fluctuation range, includes: transmitting the first state information and the second state information to a test model; and calculating normal fluctuation ranges of the first state information and the second state information according to the test model, wherein the normal fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively.
In one embodiment, the test model is trained by: acquiring the first state information and the second state information; and training the test model based on the time series decomposition theory and the first state information and the second state information.
In one embodiment, after the determining whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range, the method further includes: if the first state information is within the first standard fluctuation range, and the second state information is within the second standard fluctuation range; continuously acquiring other state information of the cable acquired by each terminal acquisition node in real time; calling other standard fluctuation ranges corresponding to the other state information; and judging whether the other state information is in the other standard fluctuation range.
In one embodiment, after the calling the corresponding monitoring screen through the address tag if the first status information is not within the first standard range and/or the second status information is not within the second standard range, the method further includes: extracting image information in the monitoring picture; judging the current state of the cable according to the image information; and if the cable is judged to be in an abnormal state, starting an alarm module to send out an alarm signal.
In one embodiment, the determining the current cable state according to the image information includes: calling standard image information corresponding to the image information; judging whether the image information is matched with the standard image information; and if the image information is not matched with the standard image information, determining that the cable is in an abnormal state.
A tunnel multi-state monitoring device comprises an information acquisition module, a data acquisition module and a data processing module, wherein the information acquisition module is used for acquiring real-time state information of a cable, and the real-time state information comprises first state information and second state information, and the first state information and the second state information both carry corresponding address labels; the range calling module is used for calling the standard fluctuation ranges of the first state information and the second state information, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively; the information judgment module is used for judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range; and the monitoring calling module is used for calling a corresponding monitoring picture through the address tag when the first state information is not in the first standard range and/or the second state information is not in the second standard range.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the tunnel multi-state monitoring method described in the above embodiments when executing the program.
A storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the tunnel multi-state monitoring method described in the various embodiments above.
According to the tunnel multi-state monitoring method, the first state information and the second state information of a cable are collected in real time through the terminal collection nodes, the first state information and the second state information both carry address labels, the standard fluctuation ranges of the first state information and the second state information are respectively a first standard fluctuation range and a second standard fluctuation range, whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range is judged, and if the first state information is not in the first standard range and/or the second state information is not in the second standard range, a corresponding monitoring picture is obtained through the address labels, so that the real-time monitoring of the state of the cable is realized, meanwhile, the abnormal state of the cable can be accurately judged, the abnormal state of the cable can be timely checked and processed, and the processing efficiency of the abnormal state of the cable is improved.
Drawings
Fig. 1 is an application scenario diagram of a tunnel multi-state monitoring method in an embodiment;
FIG. 2 is a flowchart illustrating a method for monitoring multiple states of a tunnel according to an embodiment;
FIG. 3 is a block diagram of a tunnel multi-state monitoring apparatus according to an embodiment;
FIG. 4 is a diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings by way of specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The tunnel multi-state monitoring method can be applied to the application environment shown in fig. 1. The terminal acquisition node 30 communicates with the monitoring host 20 through a network; the monitoring host 20 is connected with the monitoring center 10 through a network. The terminal acquisition node 30 is in a chain structure and is used for acquiring various state information of the cable and sending the acquired state information to the monitoring host 20, the monitoring host 20 sends the state information to the monitoring center 10 through a TCP/IP network, and the monitoring center 10 judges and analyzes various state information and monitors and remotely processes abnormal cables. The terminal acquisition node 30 may be, but is not limited to, an air sensor, a harmful probe, a water level sensor, a high-definition camera, a ground current sensor, a temperature sensor, a smoke sensor, and the like; the monitoring host 20 may remotely supply power to each terminal acquisition node 30; the monitoring center 10 can remotely control each terminal acquisition node 30, so as to facilitate timely handling of cable abnormity.
In one embodiment, as shown in fig. 2, there is provided a tunnel multi-status monitoring method, including the following steps:
step S101, acquiring first state information and second state information of each terminal acquisition node for acquiring the cable in real time, wherein the first state information and the second state information both carry corresponding address labels.
Specifically, each terminal acquisition node 30 acquires first state information and second state information of the cable in real time, the first state information and the second state information both carry corresponding address tags and are transmitted to the monitoring host 20, and the monitoring host 20 transmits various state information to the monitoring center 10.
Each terminal collection node 30 may collect various state information of the cable in real time, including first state information and second state information, where the first state information and the second state information may be: the system comprises oxygen content state information in air in a cable tunnel, harmful gas state information in air, tunnel water level state information, electric power tunnel well lid state information, electric power well lid state information, grounding current state information, cable temperature state information and smoke state information in the tunnel.
Step S102, the standard fluctuation ranges of the first state information and the second state information are called as a first standard fluctuation range and a second standard fluctuation range respectively.
Specifically, a first standard fluctuation range of the first status information and a second standard fluctuation range of the second status information are respectively retrieved, and the plurality of types of status information of the cable are respectively provided with corresponding standard fluctuation ranges, which can be stored in the database of the monitoring center 10.
In one embodiment, step S102 includes: transmitting the first state information and the second state information to the test model; and calculating the normal fluctuation range of the first state information and the second state information according to the test model.
In one embodiment, the test model may be trained by: acquiring first state information and second state information; and training the test model based on the time series decomposition theory and the first state information and the second state information.
The time series decomposition theory means that various state information of a terminal acquisition node is continuously monitored in a period of time, corresponding state information data is acquired, and the change process of the state information data is analyzed, so that the standard fluctuation range of the various state information is determined.
Step S103, judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range.
Specifically, whether the first state information is in a first standard fluctuation range or not is judged according to the acquired first state information, if so, the first state is normal, otherwise, the first state is abnormal; and judging whether the second state information is in a second standard fluctuation range or not according to the acquired second state information, wherein if the second state information is in the second standard fluctuation range, the second state is normal, otherwise, the second state is abnormal.
In one embodiment, after step S103, the method further includes: if the first state information is in the first standard fluctuation range, and the second state information is also in the second standard fluctuation range; continuously acquiring other state information of the cable acquired by each acquisition terminal node in real time; calling other standard fluctuation ranges corresponding to other state information; whether other state information is in other standard fluctuation ranges is judged, so that various state information of the cable is judged in an abnormal mode in sequence, the real-time state of the cable is judged accurately, and overhaul efficiency of maintainers is improved.
And step S104, if the first state information is not in the first standard range and/or the second state information is not in the second standard range, calling a corresponding monitoring picture through the address tag.
Specifically, when the first state information is not in the first standard range or the second state information is not in the second standard range, or both the first state information and the second state information are not in the corresponding standard ranges, the monitoring picture of the corresponding cable is called through the address tag corresponding to the first state information and/or the second state information, the monitoring picture is displayed on the display screen, and a worker can judge whether the alarm signal needs to be started according to the monitoring picture.
In one embodiment, after step S104, the method further includes: extracting image information in a monitoring picture; judging the current state of the cable according to the image information; and if the cable is judged to be in an abnormal state, starting an alarm module to send out an alarm signal.
Specifically, when at least one piece of state information is not in the standard fluctuation range, the image information in the monitoring picture can be extracted, the current state of the cable is judged according to the image information, if the image information is abnormal, the cable is judged to be in the abnormal state, the alarm module is started to send out an alarm signal, and a worker can conveniently process the abnormal state in time.
Wherein, judging the current state of the cable according to the image information comprises: calling standard image information corresponding to the image information; judging whether the image information is matched with the standard image information; and if the image information is not matched with the standard image information, determining that the cable is in an abnormal state.
Specifically, the database of the monitoring center 10 may store image information of the cable corresponding to each terminal acquisition node, so as to conveniently retrieve standard image information corresponding to the image information, determine whether the image information matches the standard image information, and if not, determine that the cable is in an abnormal state; if the alarm signals are matched, the monitoring picture is displayed through the display screen, and the staff can judge whether the alarm module is started to send the alarm signals through the monitoring picture.
In the above embodiment, the first state information and the second state information of the cable are collected in real time through each terminal collection node, where the first state information and the second state information both carry address tags, the standard fluctuation ranges of the first state information and the second state information are the first standard fluctuation range and the second standard fluctuation range, respectively, whether the first state information and the second state information are in the first standard fluctuation range and the second standard fluctuation range is judged, and if the first state information is not in the first standard range and/or the second state information is not in the second standard range, a corresponding monitoring picture is taken through the address tags, so as to realize real-time monitoring of the cable state, and meanwhile, the abnormal state of the cable can be accurately judged, and timely checking and processing are performed, so that the processing efficiency of the cable abnormality is improved.
In one embodiment, as shown in fig. 3, there is provided a tunnel multi-status monitoring apparatus 40, which includes an information obtaining module 41, a range invoking module 42, an information judging module 43, and a monitoring invoking module 44, wherein:
the information obtaining module 41 is configured to obtain real-time status information of the cable, where the real-time status information includes first status information and second status information, and the first status information and the second status information both carry corresponding address tags;
the range retrieving module 42 is configured to retrieve standard fluctuation ranges of the first state information and the second state information, which are the first standard fluctuation range and the second standard fluctuation range, respectively;
an information determining module 43, configured to determine whether the first state information and the second state information are within a first standard fluctuation range and a second standard fluctuation range, respectively;
and the monitoring calling module 44 is configured to call a corresponding monitoring picture through the address tag when the first state information is not within the first standard range and/or the second state information is not within the second standard range.
In one embodiment, the apparatus further comprises a model calculation module, wherein: the model calculation module is used for transmitting the first state information and the second state information to the test model, and calculating standard fluctuation ranges of the first state information and the second state information according to the test model, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively.
In one embodiment, the apparatus further comprises a model training module, wherein: the model training module is used for acquiring the first state information and the second state information and training the test model based on the time sequence decomposition theory and the first state information and the second state information.
In one embodiment, the apparatus further includes a step circulation module, where the step circulation module is configured to, when the first state information is within the first standard fluctuation range and the second state information is also within the second standard fluctuation range, continue to acquire other cable state information acquired by each terminal acquisition node in real time, and circulate steps S101 to S104, but change the first state information and the second state information therein to other state information, and change the first standard fluctuation range and the second standard fluctuation range to corresponding other state information.
In one embodiment, the device further comprises an information extraction module, wherein the information extraction module is used for extracting image information in the monitoring picture, judging the current state of the cable according to the image information through the range judgment module, and starting the alarm module to send out an alarm signal if the cable is judged to be in an abnormal state.
In one embodiment, the range retrieving module is further configured to retrieve standard image information corresponding to the image information, determine whether the image information matches the standard image information through the range determining module, and if not, determine that the cable is in an abnormal state.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the configuration template and also used for storing target webpage data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a tunnel multi-state monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a storage medium is further provided, the storage medium storing a computer program, the computer program comprising program instructions, which when executed by a computer, which may be part of the above-mentioned tunnel multi-state monitoring apparatus, cause the computer to perform the method according to the previous embodiment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and optionally they may be implemented in program code executable by a computing device, such that they may be stored on a computer storage medium (ROM/RAM, magnetic disks, optical disks) and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a more detailed description of the present invention that is presented in conjunction with specific embodiments, and the practice of the invention is not to be considered limited to those descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A tunnel multi-state monitoring method is characterized by comprising a plurality of terminal acquisition nodes and a monitoring host, wherein the terminal acquisition nodes are in a chain structure and used for acquiring cable states, the monitoring host is connected with the terminal acquisition nodes, the terminal acquisition nodes and the monitoring host perform data interaction through a wireless network, and the monitoring host and a monitoring center perform data interaction through a TCP/IP network; the method comprises the following steps:
acquiring first state information and second state information of each terminal acquisition node for acquiring a cable in real time, wherein the first state information and the second state information both carry corresponding address labels;
calling standard fluctuation ranges of the first state information and the second state information, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively;
judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range;
and if the first state information is not in the first standard range and/or the second state information is not in the second standard range, calling a corresponding monitoring picture through the address tag.
2. The method according to claim 1, wherein the first status information and the second status information may be: the system comprises oxygen content state information in air in a cable tunnel, harmful gas state information in air, tunnel water level state information, electric power tunnel well lid state information, electric power well lid state information, grounding current state information, cable temperature state information and smoke state information in the tunnel.
3. The method according to claim 1, wherein the retrieving the standard fluctuation ranges of the first status information and the second status information, which are respectively a first standard fluctuation range and a second standard fluctuation range, comprises:
transmitting the first state information and the second state information to a test model;
and calculating normal fluctuation ranges of the first state information and the second state information according to the test model, wherein the normal fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively.
4. The method according to claim 3, wherein the test model is trained by:
acquiring the first state information and the second state information;
and training the test model based on the time series decomposition theory and the first state information and the second state information.
5. The method according to claim 1, wherein after the determining whether the first status information and the second status information are within the first standard fluctuation range and the second standard fluctuation range, respectively, the method further comprises:
if the first state information is within the first standard fluctuation range, and the second state information is within the second standard fluctuation range;
continuously acquiring other state information of the cable acquired by each terminal acquisition node in real time;
calling other standard fluctuation ranges corresponding to the other state information;
and judging whether the other state information is in the other standard fluctuation range.
6. The method according to claim 1, wherein if the first status information is not within the first standard range and/or the second status information is not within the second standard range, after the corresponding monitoring picture is called by the address tag, the method further comprises:
extracting image information in the monitoring picture;
judging the current state of the cable according to the image information;
and if the cable is judged to be in an abnormal state, starting an alarm module to send out an alarm signal.
7. The method as claimed in claim 6, wherein said determining the current state of the cable according to the image information comprises:
calling standard image information corresponding to the image information;
judging whether the image information is matched with the standard image information;
and if the image information is not matched with the standard image information, determining that the cable is in an abnormal state.
8. A tunnel multi-condition monitoring device, comprising:
the system comprises an information acquisition module, a data acquisition module and a data processing module, wherein the information acquisition module is used for acquiring real-time state information of a cable, and the real-time state information comprises first state information and second state information, and the first state information and the second state information both carry corresponding address labels;
the range calling module is used for calling the standard fluctuation ranges of the first state information and the second state information, wherein the standard fluctuation ranges are a first standard fluctuation range and a second standard fluctuation range respectively;
the information judgment module is used for judging whether the first state information and the second state information are respectively in the first standard fluctuation range and the second standard fluctuation range;
and the monitoring calling module is used for calling a corresponding monitoring picture through the address tag when the first state information is not in the first standard range and/or the second state information is not in the second standard range.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, realizing the steps of the method of any one of claims 1 to 7.
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Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090003223A1 (en) * | 2007-06-29 | 2009-01-01 | Mccallum Gavin | Discovering configured tunnels between nodes on a path in a data communications network |
CN106707109A (en) * | 2017-02-21 | 2017-05-24 | 国网山东省电力公司邹城市供电公司 | Underground cable detection system |
CN206541406U (en) * | 2017-03-13 | 2017-10-03 | 长沙民政职业技术学院 | A kind of electric fire monitoring system |
CN107644504A (en) * | 2017-09-13 | 2018-01-30 | 河南省三禾电气有限公司 | Electrical hazard monitoring system and method |
CN108519127A (en) * | 2017-12-19 | 2018-09-11 | 国网山东省电力公司烟台供电公司 | A kind of cable tunnel intelligent monitor system |
CN108520614A (en) * | 2018-05-31 | 2018-09-11 | 朱森 | Electric fire monitoring system based on tunnel track and operation method |
CN109506704A (en) * | 2018-10-10 | 2019-03-22 | 国网河南省电力公司开封供电公司 | Cable detection and method for early warning and device |
CN109544883A (en) * | 2018-12-10 | 2019-03-29 | 中云盾技术有限公司 | A kind of electric fire monitoring system |
CN109660021A (en) * | 2018-11-09 | 2019-04-19 | 国网河北省电力有限公司石家庄供电分公司 | Electric power tunnel on-line monitoring system and monitoring method |
CN110501609A (en) * | 2019-08-07 | 2019-11-26 | 龙岩学院 | A kind of electric fault detection system and detection method for cable |
CN110763952A (en) * | 2019-10-29 | 2020-02-07 | 湖南国奥电力设备有限公司 | Underground cable fault monitoring method and device |
CN110797981A (en) * | 2019-11-12 | 2020-02-14 | 国网四川省电力公司泸州供电公司 | Power cable safety monitoring system in tunnel |
CN110875851A (en) * | 2019-10-25 | 2020-03-10 | 袁茂银 | Underground cable fault early warning method and device |
CN111092492A (en) * | 2019-12-31 | 2020-05-01 | 杭州巨骐信息科技股份有限公司 | High-voltage cable line operation monitoring system |
CN111459066A (en) * | 2020-04-13 | 2020-07-28 | 深圳市永恒光照明科技有限公司 | Underground pipe network monitoring system of urban lighting facility |
-
2020
- 2020-09-28 CN CN202011039576.0A patent/CN112213667A/en active Pending
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090003223A1 (en) * | 2007-06-29 | 2009-01-01 | Mccallum Gavin | Discovering configured tunnels between nodes on a path in a data communications network |
CN106707109A (en) * | 2017-02-21 | 2017-05-24 | 国网山东省电力公司邹城市供电公司 | Underground cable detection system |
CN206541406U (en) * | 2017-03-13 | 2017-10-03 | 长沙民政职业技术学院 | A kind of electric fire monitoring system |
CN107644504A (en) * | 2017-09-13 | 2018-01-30 | 河南省三禾电气有限公司 | Electrical hazard monitoring system and method |
CN108519127A (en) * | 2017-12-19 | 2018-09-11 | 国网山东省电力公司烟台供电公司 | A kind of cable tunnel intelligent monitor system |
CN108520614A (en) * | 2018-05-31 | 2018-09-11 | 朱森 | Electric fire monitoring system based on tunnel track and operation method |
CN109506704A (en) * | 2018-10-10 | 2019-03-22 | 国网河南省电力公司开封供电公司 | Cable detection and method for early warning and device |
CN109660021A (en) * | 2018-11-09 | 2019-04-19 | 国网河北省电力有限公司石家庄供电分公司 | Electric power tunnel on-line monitoring system and monitoring method |
CN109544883A (en) * | 2018-12-10 | 2019-03-29 | 中云盾技术有限公司 | A kind of electric fire monitoring system |
CN110501609A (en) * | 2019-08-07 | 2019-11-26 | 龙岩学院 | A kind of electric fault detection system and detection method for cable |
CN110875851A (en) * | 2019-10-25 | 2020-03-10 | 袁茂银 | Underground cable fault early warning method and device |
CN110763952A (en) * | 2019-10-29 | 2020-02-07 | 湖南国奥电力设备有限公司 | Underground cable fault monitoring method and device |
CN110797981A (en) * | 2019-11-12 | 2020-02-14 | 国网四川省电力公司泸州供电公司 | Power cable safety monitoring system in tunnel |
CN111092492A (en) * | 2019-12-31 | 2020-05-01 | 杭州巨骐信息科技股份有限公司 | High-voltage cable line operation monitoring system |
CN111459066A (en) * | 2020-04-13 | 2020-07-28 | 深圳市永恒光照明科技有限公司 | Underground pipe network monitoring system of urban lighting facility |
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