CN112531906A - Multi-dimensional monitoring method and system for power distribution Internet of things - Google Patents
Multi-dimensional monitoring method and system for power distribution Internet of things Download PDFInfo
- Publication number
- CN112531906A CN112531906A CN202011437973.3A CN202011437973A CN112531906A CN 112531906 A CN112531906 A CN 112531906A CN 202011437973 A CN202011437973 A CN 202011437973A CN 112531906 A CN112531906 A CN 112531906A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- line
- things
- power distribution
- internet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 264
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000004891 communication Methods 0.000 claims abstract description 10
- 230000007613 environmental effect Effects 0.000 claims abstract description 4
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000009434 installation Methods 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a multi-dimensional monitoring method facing to a power distribution Internet of things, which comprises the steps of determining line monitoring points according to the actual line condition of a monitoring station in a preset interval, and correspondingly determining the monitoring points on a special line or an important load user line when a certain line is determined to be the special line or the important load user line; at least one of an electrical quantity sensor, a state quantity sensor, an environmental quantity sensor and a space quantity sensor is respectively determined and installed on each monitoring point; after the sensors on all the monitoring points are completely installed, the preset Internet of things monitoring analysis software is started to establish communication with the sensors on all the monitoring points, and remote real-time monitoring on all the monitoring points is realized by acquiring the multi-dimensional data acquired by all the monitoring points. By implementing the method, the problem that the monitoring range of the conventional power distribution network monitoring method is not wide enough so that real-time monitoring and sensing of the global power distribution network cannot be realized can be solved.
Description
Technical Field
The invention relates to the technical field of power distribution network monitoring, in particular to a multi-dimensional monitoring method and system for a power distribution internet of things.
Background
The power distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, accessory facilities and the like, and plays a role in distributing electric energy in the power network.
At present, a power distribution network adopts a mode of superposing the existing sensors on the Internet of things to acquire and analyze equipment, so that the running states of a low-voltage switch cabinet and a transformer of the power distribution network are monitored in a sensing mode, and the health running condition of the power distribution network is remotely monitored.
However, in the conventional power distribution network monitoring method, the coverage of the sensing terminal is insufficient, the quick response capability is insufficient, the monitoring range is not wide enough, local monitoring dead angles exist, and real-time monitoring and sensing on the global power distribution network cannot be realized. Therefore, it is necessary to provide a multi-dimensional monitoring method for a power distribution network, which can solve the problem that the existing power distribution network monitoring method has a monitoring range that is not wide enough and cannot realize real-time monitoring and sensing of a global power distribution network.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a multi-dimensional monitoring method and system for a power distribution internet of things, which can solve the problem that the monitoring range of the existing power distribution network monitoring method is not wide enough, so that real-time monitoring and sensing of a global power distribution network cannot be realized.
In order to solve the technical problem, an embodiment of the present invention provides a multidimensional monitoring method for a power distribution internet of things, where the method includes the following steps:
s1, determining line monitoring points according to the actual line condition of the monitoring station in the preset interval, and correspondingly determining the special line monitoring points or the important load user monitoring points on the special line or the important load user line when determining that a certain line is the special line or the important load user line;
s2, respectively determining at least one of an electric quantity sensor, a state quantity sensor, an environment quantity sensor and a space quantity sensor at each monitoring point;
s3, after it is determined that the sensors on all the monitoring points are installed, starting preset Internet of things monitoring analysis software to establish communication with the sensors on all the monitoring points, and realizing remote real-time monitoring on all the monitoring points by acquiring multidimensional data acquired by all the monitoring points.
Wherein the method further comprises:
and monitoring and analyzing the multidimensional data collected by each monitoring point through the preset Internet of things monitoring and analyzing software to obtain various monitoring and analyzing data.
The monitoring analysis data comprises power utilization peak and low peak detection pre-analysis data, abnormal power consumption user monitoring analysis data, interval power consumption monitoring analysis data, power distribution network power utilization monitoring analysis data and interval line fault analysis data.
Wherein the method further comprises:
and issuing a corresponding dynamic data acquisition instruction to each monitoring point according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, so that each monitoring point can start a corresponding sensor to acquire data based on the received dynamic data acquisition instruction.
Wherein the method further comprises:
determining the change condition of various monitoring analysis data according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, and pre-judging the power supply condition of all lines by combining the change condition of various monitoring analysis data; wherein the power supply condition is normal or failure.
Wherein the method further comprises:
and when the power supply condition of a certain line is judged to be a fault in advance, a corresponding line maintenance instruction is issued to a maintenance worker.
The embodiment of the invention also provides a multi-dimensional monitoring system for the power distribution internet of things, which comprises:
the regional distribution network monitoring point planning unit is used for determining line monitoring points according to the actual line condition of the monitoring stations in the preset region, and correspondingly determining the special line monitoring points or the important load user monitoring points on the special line or the important load user line when a certain line is determined to be the special line or the important load user line;
the intelligent sensing monitoring installation unit is used for respectively determining and installing at least one of an electrical quantity sensor, a state quantity sensor, an environmental quantity sensor and a space quantity sensor at each monitoring point;
and the multidimensional monitoring unit is used for starting preset Internet of things monitoring and analyzing software to establish communication with the sensors on each monitoring point after the sensors on all the monitoring points are completely installed, and realizing remote real-time monitoring on each monitoring point by acquiring multidimensional data acquired by each monitoring point.
Wherein, still include: a monitoring and analyzing unit; wherein,
and the monitoring and analyzing unit is used for monitoring and analyzing the multidimensional data collected by each monitoring point through the preset Internet of things monitoring and analyzing software to obtain various monitoring and analyzing data.
The monitoring analysis data comprises power utilization peak and low peak detection pre-analysis data, abnormal power consumption user monitoring analysis data, interval power consumption monitoring analysis data, power distribution network power utilization monitoring analysis data and interval line fault analysis data.
Wherein, still include: a dynamic data acquisition instruction issuing unit; wherein,
the dynamic data acquisition instruction issuing unit is used for issuing a corresponding dynamic data acquisition instruction to each monitoring point according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, so that each monitoring point can start a corresponding sensor to acquire data based on the received dynamic data acquisition instruction.
The embodiment of the invention has the following beneficial effects:
according to the method, the inter-area monitoring stations and the corresponding line monitoring points, special route monitoring points or important load user monitoring points of the inter-area monitoring stations are arranged, communication is established between the inter-internet monitoring analysis software and the sensors on the monitoring points, remote real-time monitoring on each monitoring point is realized by acquiring multidimensional data acquired by each monitoring point, real-time dynamic monitoring of the universe of the power distribution network can be realized, dynamic data of the power distribution network can be acquired and integrated in real time by issuing corresponding dynamic data acquisition instructions in combination with the internet, risks and potential faults existing in the power distribution network are effectively identified, and the problem that the monitoring range is not wide enough and real-time monitoring and sensing of the universe of the power distribution network cannot be realized in the existing power distribution network monitoring method is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a flowchart of a multidimensional monitoring method for a power distribution internet of things according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a multi-dimensional monitoring system for a power distribution internet of things according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, in an embodiment of the present invention, a multidimensional monitoring method for a power distribution internet of things is provided, where the method includes the following steps:
step S1, determining line monitoring points according to the actual line condition of the monitoring station in the preset section, and correspondingly determining the special line monitoring points or the important load user monitoring points on the special line or the important load user line when determining that a certain line is the special line or the important load user line;
the specific process comprises the steps of setting a plurality of interval monitoring stations in the whole domain in advance according to the actual framework condition of the power distribution network, and planning the line monitoring points correspondingly set by each line according to the actual line condition of the preset interval monitoring stations. Meanwhile, according to the importance of the line (such as a special line or an important load user line), on the basis of the existing monitoring points of the important line, special line monitoring points or important load user monitoring points are correspondingly added.
Therefore, based on the topology structure diagram of the power distribution network, a background supervisor can determine line monitoring points, special line monitoring points and important load user monitoring points through the Internet of things analysis device.
S2, respectively determining at least one of an electric quantity sensor, a state quantity sensor, an environment quantity sensor and a space quantity sensor at each monitoring point;
the method comprises the specific process that at least one of an electrical quantity sensor, a state quantity sensor, an environment quantity sensor and a space quantity sensor is correspondingly installed on a planned line monitoring point, a special line monitoring point and an important load user monitoring point according to actual needs and is respectively used for collecting multidimensional data of the line, wherein the multidimensional data comprises electrical quantity data, switching state quantity data, environment data, space data and the like.
Therefore, background supervisors determine whether corresponding sensors are installed at each monitoring point through the internet of things analysis device. In one example, on the topological structure diagram of the power distribution network, whether the corresponding sensor is installed or not is determined through the sensor lighting and the color state of each monitoring point. It should be noted that each sensor installed at the designated installation position of each line is remotely and wirelessly connected with the internet of things analysis device through the internet of things.
S3, after it is determined that the sensors on all the monitoring points are installed, starting preset Internet of things monitoring analysis software to establish communication with the sensors on all the monitoring points, and realizing remote real-time monitoring on all the monitoring points by acquiring multidimensional data acquired by all the monitoring points.
The specific process is that a background supervisor starts the internet of things monitoring and analyzing software pre-installed on the internet of things analyzing device, establishes communication with the sensors on each monitoring point and further acquires multidimensional data acquired by each monitoring point to realize remote real-time monitoring on each monitoring point.
Meanwhile, the background supervisor monitors and analyzes the multidimensional data collected by each monitoring point through Internet of things monitoring and analyzing software on the Internet of things analysis device to obtain various monitoring and analyzing data, wherein the monitoring and analyzing data comprise power utilization peak and low peak detection pre-analysis data, abnormal power consumption user monitoring and analyzing data, interval power consumption monitoring and analyzing data, power distribution network power consumption monitoring and analyzing data and interval line fault analyzing data. Therefore, functions of pre-analysis of power utilization peak and low peak detection, abnormal power utilization user monitoring and analysis, section power utilization monitoring and analysis, power distribution network power utilization monitoring and analysis, section line fault analysis and the like can be realized.
Of course, besides the real-time dynamic monitoring of the universe of the power distribution network, the dynamic data of the power distribution network can be collected and integrated in real time by issuing corresponding dynamic data collection instructions in combination with the internet. Therefore, background supervisors can issue corresponding dynamic data acquisition instructions to each monitoring point according to various monitoring analysis data obtained by monitoring analysis software of the internet of things on the internet of things analysis device, so that each monitoring point can start corresponding sensor acquisition data based on the received dynamic data acquisition instructions, namely, dynamic data of the power distribution network is acquired and integrated.
Of course, besides the real-time dynamic monitoring of the universe of the power distribution network and the real-time acquisition and integration of dynamic data, the problems of risks and potential faults existing in the power distribution network can be effectively identified. Therefore, the background supervisor determines the change condition of various monitoring analysis data according to various monitoring analysis data obtained by the monitoring analysis software of the internet of things on the internet of things analysis device, and pre-judges the power supply condition of all lines by combining the change condition of the various monitoring analysis data; wherein the power supply condition is normal or failure. In one example, when the power supply condition of a certain line is judged to be a fault in advance, a backstage supervisor issues a corresponding line maintenance instruction to a maintenance worker through the internet of things analysis device so as to timely perform inspection and first-aid repair to reduce loss.
Of course, there are other related functions in addition to the above functions. For example, a background supervisor can remotely adjust parameter information in each interval monitoring station through the internet of things analysis device. For another example, a background supervisor can perform statistics on parameter information in monitoring stations in each section through the internet of things analysis device.
As shown in fig. 2, in an embodiment of the present invention, a multidimensional monitoring system for a power distribution internet of things includes:
the regional distribution network monitoring point planning unit 110 is configured to determine line monitoring points according to actual line conditions of monitoring stations in a preset region, and correspondingly determine special line monitoring points or important load user monitoring points on a special line or an important load user line when a certain line is determined to be the special line or the important load user line;
an intelligent sensing and monitoring installation unit 120, configured to respectively determine that at least one of an electrical quantity sensor, a state quantity sensor, an environmental quantity sensor, and a spatial quantity sensor is installed at each monitoring point;
and the multidimensional monitoring unit 130 is used for starting preset internet of things monitoring and analyzing software to establish communication with the sensors on each monitoring point after the sensors on all the monitoring points are completely installed, and realizing remote real-time monitoring on each monitoring point by acquiring multidimensional data acquired by each monitoring point.
Wherein, still include: a monitoring and analyzing unit; wherein,
and the monitoring and analyzing unit is used for monitoring and analyzing the multidimensional data collected by each monitoring point through the preset Internet of things monitoring and analyzing software to obtain various monitoring and analyzing data.
The monitoring analysis data comprises power utilization peak and low peak detection pre-analysis data, abnormal power consumption user monitoring analysis data, interval power consumption monitoring analysis data, power distribution network power utilization monitoring analysis data and interval line fault analysis data.
Wherein, still include: a dynamic data acquisition instruction issuing unit; wherein,
the dynamic data acquisition instruction issuing unit is used for issuing a corresponding dynamic data acquisition instruction to each monitoring point according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, so that each monitoring point can start a corresponding sensor to acquire data based on the received dynamic data acquisition instruction.
The embodiment of the invention has the following beneficial effects:
according to the method, the inter-area monitoring stations and the corresponding line monitoring points, special route monitoring points or important load user monitoring points of the inter-area monitoring stations are arranged, communication is established between the inter-internet monitoring analysis software and the sensors on the monitoring points, remote real-time monitoring on each monitoring point is realized by acquiring multidimensional data acquired by each monitoring point, real-time dynamic monitoring of the universe of the power distribution network can be realized, dynamic data of the power distribution network can be acquired and integrated in real time by issuing corresponding dynamic data acquisition instructions in combination with the internet, risks and potential faults existing in the power distribution network are effectively identified, and the problem that the monitoring range is not wide enough and real-time monitoring and sensing of the universe of the power distribution network cannot be realized in the existing power distribution network monitoring method is solved.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by relevant hardware instructed by a program, and the program may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A multidimensional monitoring method for a power distribution Internet of things is characterized by comprising the following steps:
s1, determining line monitoring points according to the actual line condition of the monitoring station in the preset interval, and correspondingly determining the special line monitoring points or the important load user monitoring points on the special line or the important load user line when determining that a certain line is the special line or the important load user line;
s2, respectively determining at least one of an electric quantity sensor, a state quantity sensor, an environment quantity sensor and a space quantity sensor at each monitoring point;
s3, after it is determined that the sensors on all the monitoring points are installed, starting preset Internet of things monitoring analysis software to establish communication with the sensors on all the monitoring points, and realizing remote real-time monitoring on all the monitoring points by acquiring multidimensional data acquired by all the monitoring points.
2. The multi-dimensional monitoring method for the power distribution internet of things as claimed in claim 1, wherein the method further comprises:
and monitoring and analyzing the multidimensional data collected by each monitoring point through the preset Internet of things monitoring and analyzing software to obtain various monitoring and analyzing data.
3. The multi-dimensional monitoring method oriented to the power distribution internet of things as claimed in claim 2, wherein the monitoring analysis data comprises power utilization peak and low peak detection pre-analysis data, abnormal power consumption user monitoring analysis data, interval power consumption monitoring analysis data, power distribution network power consumption monitoring analysis data and interval line fault analysis data.
4. The multi-dimensional monitoring method for the power distribution internet of things as claimed in claim 2, wherein the method further comprises:
and issuing a corresponding dynamic data acquisition instruction to each monitoring point according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, so that each monitoring point can start a corresponding sensor to acquire data based on the received dynamic data acquisition instruction.
5. The multi-dimensional monitoring method for the power distribution internet of things as claimed in claim 2, wherein the method further comprises:
determining the change condition of various monitoring analysis data according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, and pre-judging the power supply condition of all lines by combining the change condition of various monitoring analysis data; wherein the power supply condition is normal or failure.
6. The multi-dimensional monitoring method for the power distribution internet of things as claimed in claim 5, wherein the method further comprises:
and when the power supply condition of a certain line is judged to be a fault in advance, a corresponding line maintenance instruction is issued to a maintenance worker.
7. The utility model provides a multi-dimensional monitoring system towards distribution thing networking which characterized in that includes:
the regional distribution network monitoring point planning unit is used for determining line monitoring points according to the actual line condition of the monitoring stations in the preset region, and correspondingly determining the special line monitoring points or the important load user monitoring points on the special line or the important load user line when a certain line is determined to be the special line or the important load user line;
the intelligent sensing monitoring installation unit is used for respectively determining and installing at least one of an electrical quantity sensor, a state quantity sensor, an environmental quantity sensor and a space quantity sensor at each monitoring point;
and the multidimensional monitoring unit is used for starting preset Internet of things monitoring and analyzing software to establish communication with the sensors on each monitoring point after the sensors on all the monitoring points are completely installed, and realizing remote real-time monitoring on each monitoring point by acquiring multidimensional data acquired by each monitoring point.
8. The power distribution internet of things oriented multidimensional monitoring system of claim 7, further comprising: a monitoring and analyzing unit; wherein,
and the monitoring and analyzing unit is used for monitoring and analyzing the multidimensional data collected by each monitoring point through the preset Internet of things monitoring and analyzing software to obtain various monitoring and analyzing data.
9. The power distribution internet of things-oriented multidimensional monitoring system of claim 8, wherein the monitoring analysis data comprises power utilization peak-to-peak detection pre-analysis data, abnormal power consumption user monitoring analysis data, interval power consumption monitoring analysis data, power distribution network power consumption monitoring analysis data and interval line fault analysis data.
10. The power distribution internet of things oriented multidimensional monitoring system of claim 8, further comprising: a dynamic data acquisition instruction issuing unit; wherein,
the dynamic data acquisition instruction issuing unit is used for issuing a corresponding dynamic data acquisition instruction to each monitoring point according to various monitoring analysis data obtained by the preset Internet of things monitoring analysis software, so that each monitoring point can start a corresponding sensor to acquire data based on the received dynamic data acquisition instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011437973.3A CN112531906B (en) | 2020-12-11 | 2020-12-11 | Multi-dimensional monitoring method and system for power distribution Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011437973.3A CN112531906B (en) | 2020-12-11 | 2020-12-11 | Multi-dimensional monitoring method and system for power distribution Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112531906A true CN112531906A (en) | 2021-03-19 |
| CN112531906B CN112531906B (en) | 2023-03-31 |
Family
ID=74999950
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011437973.3A Active CN112531906B (en) | 2020-12-11 | 2020-12-11 | Multi-dimensional monitoring method and system for power distribution Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112531906B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206250848U (en) * | 2016-12-01 | 2017-06-13 | 云南电网有限责任公司瑞丽供电局 | Power distribution network monitoring running state device |
| CN107171438A (en) * | 2017-05-18 | 2017-09-15 | 中国南方电网有限责任公司 | A kind of net level matches somebody with somebody electricity consumption monitoring and management system |
-
2020
- 2020-12-11 CN CN202011437973.3A patent/CN112531906B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206250848U (en) * | 2016-12-01 | 2017-06-13 | 云南电网有限责任公司瑞丽供电局 | Power distribution network monitoring running state device |
| CN107171438A (en) * | 2017-05-18 | 2017-09-15 | 中国南方电网有限责任公司 | A kind of net level matches somebody with somebody electricity consumption monitoring and management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112531906B (en) | 2023-03-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104092310B (en) | A kind of intelligent power distribution monitoring and energy management system backstage | |
| CN109459664A (en) | A kind of detection of distribution network failure and positioning analysis system | |
| CN111030304B (en) | Electric power security protection intelligence thing networking systems | |
| CN205305194U (en) | Street lamp automatic monitoring system | |
| CN111352028B (en) | Molded case circuit breaker and line loss analysis method | |
| CN110336379B (en) | Transformer substation online monitoring system based on Internet of things and terminal equipment | |
| CN110086251B (en) | Monitoring method and system for improving operation safety of power grid | |
| CN211296946U (en) | Railway electric power comprehensive operation and maintenance management system | |
| CN203561717U (en) | Distribution board direct current ground connection alarm device | |
| CN114139742A (en) | Power distribution network management and control system and management and control method | |
| CN116169778A (en) | Processing method and system based on power distribution network anomaly analysis | |
| CN110837027A (en) | Auxiliary decision method and system based on scheduling end key information extraction under power grid fault condition | |
| CN112531906B (en) | Multi-dimensional monitoring method and system for power distribution Internet of things | |
| CN214850626U (en) | Intelligent online monitoring system for distribution room | |
| CN114448348A (en) | Distributed photovoltaic operation data acquisition system and data processing method | |
| CN212483779U (en) | Moulded case circuit breaker device | |
| CN112485580A (en) | Power supply line fault positioning system and method | |
| CN112817244A (en) | Measurement control management system of power distribution network line | |
| CN106208042B (en) | Power distribution network outage information sharing method based on battalion's auxiliary tone fusion | |
| CN214506661U (en) | System based on low-voltage transformer area line loss rapid positioning | |
| CN111313548B (en) | Relay protection remote controllable multi-view auxiliary operation system | |
| CN111029914B (en) | Active first-aid repair system based on ubiquitous Internet of things construction | |
| CN113890187A (en) | Intelligent low pressure measurement and control terminal of thing networking | |
| CN115549042A (en) | Intelligent power distribution system | |
| CN115642588A (en) | Cloud edge cooperation-based power distribution network low-voltage fault comprehensive analysis and judgment method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |