CN109782051A - Load current abnormity early warning device, system and method based on Internet of Things - Google Patents
Load current abnormity early warning device, system and method based on Internet of Things Download PDFInfo
- Publication number
- CN109782051A CN109782051A CN201910009343.7A CN201910009343A CN109782051A CN 109782051 A CN109782051 A CN 109782051A CN 201910009343 A CN201910009343 A CN 201910009343A CN 109782051 A CN109782051 A CN 109782051A
- Authority
- CN
- China
- Prior art keywords
- current
- electrical equipment
- subset
- early warning
- monitoring
- 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
Landscapes
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Emergency Alarm Devices (AREA)
Abstract
A kind of load current abnormity early warning device based on Internet of Things provided by the invention, comprising: monitoring unit, main control unit and transmission unit；The monitoring unit, for monitoring the leakage current of the electric wiring of each phase voltage, electric current and electrical equipment in power supply line；Main control unit carries out early warning judgement for receiving the monitoring information of monitoring unit output, and according to monitoring information, when real-time monitoring information reaches threshold value of warning, then outputting alarm information；Internet of Things transmission unit for receiving the warning information of main control unit output and real-time monitoring information and uploading, and is also used to receive external control command and is transmitted to main control unit；Can the current information accurately to the electrical equipment as load be monitored and make accurate early warning, so that it is guaranteed that the Electrical Safety under the special occasions such as Gu Zhen, museum.
Description
Technical field
The present invention relates to Internet of Things monitoring field more particularly to a kind of load current abnormity early warning dresses based on Internet of Things
It sets, system and method.
Background technique
With the rapid development of our country's economy, electrical equipment is also more and more in the utilization of all trades and professions, therewith bring
Electric disaster hidden-trouble is also increasingly.The cultural relic buildings such as especially some ancient towns, temple, museum, due to keeping historical relic ancient architecture
The original appearance built, makes building fire protection grade, firebreak etc. not be able to satisfy building fire protection code requirement, this makes cultural relic building
Electrical Safety contradiction it is increasingly prominent, cultural relic building electrical fire happens occasionally, therefore how to reinforce using cultural relic building
The abnormal monitoring of electric loading, reducing electrical fire is historical relic relevant industrial department problem anxious to be resolved.
Summary of the invention
In view of this, the load current abnormity early warning device that the object of the present invention is to provide a kind of based on Internet of Things, system
And method, can the current information accurately to the electrical equipment as load be monitored and make accurate early warning, thus really
Electrical Safety under the special occasions such as the town Bao Gu, museum.
A kind of load current abnormity early warning device based on Internet of Things provided by the invention, comprising: monitoring unit, master control list
Member and transmission unit；
The monitoring unit, for monitoring the electric wiring of each phase voltage, electric current and electrical equipment in power supply line
Leakage current；
Main control unit carries out early warning judgement for receiving the monitoring information of monitoring unit output, and according to monitoring information, when
Real-time monitoring information reaches threshold value of warning, then outputting alarm information；
Internet of Things transmission unit, for receiving the warning information of main control unit output and real-time monitoring information and uploading,
And it is also used to receive external control command and is transmitted to main control unit.
Further, the monitoring unit includes acquisition module, current transformer and voltage transformer, the current transformer
At least two groups, wherein one group is used to monitor each phase current in power supply line, another set is used to monitor the electricity of electrical equipment
The leakage current of gas route, the input terminal connection of the output end and acquisition module of the current transformer and voltage transformer, institute
The output end for stating acquisition module is connect with main control unit, and the acquisition module is used to export current transformer and voltage transformer
Analog sampling signal be acquired, and to main control unit export digital sampled signal.
Further, the main control unit includes central controller, early warning output module and FLASH memory；
The signal input part of the central controller and the output end of monitoring unit connect, the output of the central controller
End is connect with early warning output module, and the central controller is connect with FLASH memory, and the central controller and Internet of Things pass
Defeated unit communication connection.
Further, central controller outputting alarm information according to the following method:
S1. central controller obtains the rated power W of each electrical equipmenti, acquired according to the rated power of each electrical equipment
The rated current I of each electrical equipmenti, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2
… In], i=1,2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, first element I is calculated1With the electric currents of other elements and, and by electric current and with first
A element I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will be second
Element I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is set
The number of element in z, θ are the current floating value set according to actual condition；
S5. central controller stores the current threshold range obtained in step S4 into FLASH memory；
S6. central controller obtains the current value of detection from monitoring unit, when the measured current value of acquisition is in any electricity
It flows in threshold range, then judges that current power load is normal, be otherwise exception, at this point, central controller outputting alarm information.
Correspondingly, the load current abnormity early warning system based on Internet of Things that the present invention also provides a kind of, including early warning dress
It sets and monitoring unit；
The prior-warning device and monitoring unit communicate to connect, wherein the above-mentioned prior-warning device of the prior-warning device.
The present invention also provides a kind of load current abnormity early warning methods, include the following steps:
S1. the rated power W of each electrical equipment is obtainedi, each electrical equipment is acquired according to the rated power of each electrical equipment
Rated current Ii, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2 … In],i
=1,2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, first element I is calculated1With the electric currents of other elements and, and by electric current and with first
A element I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will be second
Element I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is set
The number of element in z, θ are the current floating value set according to actual condition；
S5. the leakage current for acquiring each phase voltage of the power supply line of electrical equipment and the electric wiring of electrical equipment, when
The measured current value of acquisition is within the scope of any current threshold, then judges that current power load is normal, be otherwise exception, and defeated
Warning information out.
Beneficial effects of the present invention: by means of the invention it is possible to accurately to the current information of the electrical equipment as load into
Row, which monitors, simultaneously makes accurate early warning, so that it is guaranteed that the Electrical Safety under the special occasions such as Gu Zhen, museum, be effectively reduced because
A possibility that electrical fire caused by electrical equipment occurs, it is ensured that the security of the lives and property of the special occasions such as Gu Zhen, museum.
Detailed description of the invention
The invention will be further described with reference to the accompanying drawings and examples:
Fig. 1 is the structural diagram of the present invention.
Fig. 2 is specific embodiments of the present invention structural schematic diagram.
Specific embodiment
Further description is made to the present invention below in conjunction with Figure of description, as shown in the figure:
A kind of load current abnormity early warning device based on Internet of Things provided by the invention, comprising: monitoring unit, master control list
Member and transmission unit；
The monitoring unit, for monitoring the electric wiring of each phase voltage, electric current and electrical equipment in power supply line
Leakage current；
Main control unit carries out early warning judgement for receiving the monitoring information of monitoring unit output, and according to monitoring information, when
Real-time monitoring information reaches threshold value of warning, then outputting alarm information；
Internet of Things transmission unit, for receiving the warning information of main control unit output and real-time monitoring information and uploading,
And it is also used to receive external control command and is transmitted to main control unit, wherein Internet of Things transmission unit uses existing Internet of Things
Module, such as ZigBee module, bluetooth module, UWB transmission module etc. can be accurately to as loads by above structure
The current information of electrical equipment is monitored and makes accurate early warning, so that it is guaranteed that under the special occasions such as Gu Zhen, museum
Electrical Safety is effectively reduced because of a possibility that electrical fire caused by electrical equipment occurs, it is ensured that Gu Zhen, museum etc. are special
The security of the lives and property of occasion.
In the present embodiment, the monitoring unit includes acquisition module, current transformer and voltage transformer, and the electric current is mutual
Sensor is at least two groups, wherein one group is used to monitor each phase current in power supply line, another set is for monitoring electrical equipment
Electric wiring leakage current, the input terminal of the output end and acquisition module of the current transformer and voltage transformer connects
It connects, the output end of the acquisition module is connect with main control unit, and the acquisition module is used for current transformer and mutual induction of voltage
The analog sampling signal of device output is acquired, and exports digital sampled signal to main control unit, and the acquisition module is using existing
The analog signal that current transformer and voltage transformer export is converted to digital signal and exported extremely by some digital sampling circuitries
In central controller.
In the present embodiment, the main control unit includes central controller, early warning output module and FLASH memory；
The signal input part of the central controller and the output end of monitoring unit connect, the output of the central controller
End is connect with early warning output module, and the central controller is connect with FLASH memory, and the central controller and Internet of Things pass
Defeated unit communication connection, wherein central controller uses existing single-chip microcontroller, and FLASH memory is for storing central controller
The necessary program and parameter of operation, wherein program is existing program, and early warning output module uses existing combined aural and visual alarm
And/or voice prompting device, and display can also be set and shown accordingly.
In the present embodiment, central controller outputting alarm information according to the following method:
S1. central controller obtains the rated power W of each electrical equipmenti, acquired according to the rated power of each electrical equipment
The rated current I of each electrical equipmenti, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2
… In], i=1,2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, first element I is calculated1With the electric currents of other elements and, and by electric current and with first
A element I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will be second
Element I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is set
The number of element in z, θ are the current floating value set according to actual condition；
S5. central controller stores the current threshold range obtained in step S4 into FLASH memory；
S6. central controller obtains the current value of detection from monitoring unit, when the measured current value of acquisition is in any electricity
It flows in threshold range, then judges that current power load is normal, be otherwise exception, at this point, central controller outputting alarm information.
Correspondingly, the load current abnormity early warning system based on Internet of Things that the present invention also provides a kind of, including early warning dress
It sets and monitoring unit；
The prior-warning device and monitoring unit communicate to connect, wherein the above-mentioned prior-warning device of the prior-warning device, wherein
Monitoring unit may include such as flowering structure: monitoring server, storage server and WEB server, and monitoring server is for connecing
Real-time Monitoring Data and warning information are received, and is alerted according to warning information, storage server is communicated with monitoring server
Connection, for storing warning information and Real-time Monitoring Data, WEB server and storage server are communicated to connect, and are used for user
It logs in and inquires corresponding information.
The present invention also provides a kind of load current abnormity early warning methods, include the following steps:
S1. the rated power W of each electrical equipment is obtainedi, each electrical equipment is acquired according to the rated power of each electrical equipment
Rated current Ii, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2 … In],i
=1,2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, first element I is calculated1With the electric currents of other elements and, and by electric current and with first
A element I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will be second
Element I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is set
The number of element in z, θ are the current floating value set according to actual condition；
S5. the leakage current for acquiring each phase voltage of the power supply line of electrical equipment and the electric wiring of electrical equipment, when
The measured current value of acquisition is within the scope of any current threshold, then judges that current power load is normal, be otherwise exception, and defeated
Warning information out accurately the abnormal current situation to electrical equipment can carry out early warning by the above method.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this
In the scope of the claims of invention.
Claims (6)
1. a kind of load current abnormity early warning device based on Internet of Things, it is characterised in that: include: monitoring unit, main control unit
And transmission unit；
The monitoring unit, for monitoring the electric leakage of the electric wiring of each phase voltage, electric current and electrical equipment in power supply line
Electric current；
Main control unit carries out early warning judgement for receiving the monitoring information of monitoring unit output, and according to monitoring information, when real-time
Monitoring information reaches threshold value of warning, then outputting alarm information；
Internet of Things transmission unit, for receiving the warning information of main control unit output and real-time monitoring information and uploading, and also
For receiving external control command and being transmitted to main control unit.
2. the load current abnormity early warning device based on Internet of Things according to claim 1, it is characterised in that: the monitoring is single
Member includes acquisition module, current transformer and voltage transformer, and the current transformer is at least two groups, wherein one group is used to supervise
Each phase current in power supply line is surveyed, another set is used to monitor the leakage current of the electric wiring of electrical equipment, the electric current
The input terminal of the output end and acquisition module of mutual inductor and voltage transformer connects, the output end and master control list of the acquisition module
Member connection, the acquisition module are used to be acquired the analog sampling signal that current transformer and voltage transformer export, and
Digital sampled signal is exported to main control unit.
3. the load current abnormity early warning device based on Internet of Things according to claim 1, it is characterised in that: the master control list
Member includes central controller, early warning output module and FLASH memory；
The output end of the signal input part of the central controller and monitoring unit connects, the output end of the central controller with
The connection of early warning output module, the central controller are connect with FLASH memory, and the central controller and Internet of Things transmission are single
Member communication connection.
4. the load current abnormity early warning device based on Internet of Things according to claim 3, it is characterised in that: the center control
Device processed outputting alarm information according to the following method:
S1. central controller obtains the rated power W of each electrical equipmenti, each electricity consumption is acquired according to the rated power of each electrical equipment
The rated current I of equipmenti, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2 …
In], i=1,2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, first element I is calculated1With the electric currents of other elements and, and by electric current and with first member
Plain I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will second element
I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is in set z
The number of element, θ are the current floating value set according to actual condition；
S5. central controller stores the current threshold range obtained in step S4 into FLASH memory；
S6. central controller obtains the current value of detection from monitoring unit, when the measured current value of acquisition is in any current threshold
It is worth in range, then judges that current power load is normal, be otherwise exception, at this point, central controller outputting alarm information.
5. a kind of load current abnormity early warning system based on Internet of Things, it is characterised in that: including prior-warning device and monitoring unit；
The prior-warning device and monitoring unit communicate to connect, wherein the prior-warning device is wanted using any right of claim 1-4
Seek the prior-warning device.
6. a kind of load current abnormity early warning method, characterized by the following steps:
S1. the rated power W of each electrical equipment is obtainedi, the specified of each electrical equipment is acquired according to the rated power of each electrical equipment
Electric current Ii, rated current set I is formed by the rated current of each electrical equipment, wherein I=[I1 I2 … In], i=1,
2 ..., n, n indicate the number of electrical equipment；
S2. subset is constructed:
In rated current set I, calculate first element I1 and other elements electric current and, and by electric current and with first member
Plain I1Form subset Z1:
Z1=[I1,I1+I2,I1+I2+I3,…,I1+I2+I3+…+In]；
It constructs subset B: removing the first element I1, calculate second element I2With the electric currents of other elements and, will second element
I2With the electric current and composition subset Z of second element and other elements2:
Z2=[I2,I2+I3,I2+I2+I4,…,I2+I3+I4+…+In]；
And so on, until building subset Zn: Zn=[In]；
S3. by subset Z1、Z2..., ZnIt carries out union and forms set z；
S4. the value for reading each element in set Z will determine the current threshold range of each element are as follows:
[zj-zj× θ %, zj+zj× θ %], wherein zjFor j-th of element in set z, j=1,2 ..., m, m is in set z
The number of element, θ are the current floating value set according to actual condition；
S5. the leakage current for acquiring each phase voltage of the power supply line of electrical equipment and the electric wiring of electrical equipment, works as acquisition
Measured current value be within the scope of any current threshold, then judge that current power load is normal, be otherwise exception, and export announcement
Alert information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910009343.7A CN109782051B (en) | 2019-01-04 | 2019-01-04 | Load current abnormity early warning device, system and method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910009343.7A CN109782051B (en) | 2019-01-04 | 2019-01-04 | Load current abnormity early warning device, system and method based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109782051A true CN109782051A (en) | 2019-05-21 |
| CN109782051B CN109782051B (en) | 2020-12-04 |
Family
ID=66499954
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910009343.7A Active CN109782051B (en) | 2019-01-04 | 2019-01-04 | Load current abnormity early warning device, system and method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109782051B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110618304A (en) * | 2019-09-24 | 2019-12-27 | 中国计量大学 | Indoor electricity safety monitoring system based on internet of things technology |
| CN111541735A (en) * | 2020-03-12 | 2020-08-14 | 国网河北省电力有限公司雄安新区供电公司 | Direct-current self-adaptive port Internet of things system and control method thereof |
| CN114662058A (en) * | 2022-05-24 | 2022-06-24 | 中国铁塔股份有限公司云南省分公司 | Wireless station monitoring method and device |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2254601Y (en) * | 1996-07-09 | 1997-05-21 | 骆德昌 | Variable value protection device for high-voltage transmission line |
| JP2006269274A (en) * | 2005-03-24 | 2006-10-05 | Nec Corp | Overcurrent prevention outlet box |
| CN102646402A (en) * | 2012-04-20 | 2012-08-22 | 青岛海信电器股份有限公司 | Backlight driving voltage control device, backlight driving voltage control method and television |
| CN202404733U (en) * | 2011-12-08 | 2012-08-29 | 北京工业大学 | General electric quantity collection and transmission device for internet of things based on FPGA (field programmable gate array) |
| CN104808045A (en) * | 2014-01-27 | 2015-07-29 | 三菱电机株式会社 | Electronic indicating instrument |
| CN105158614A (en) * | 2015-09-25 | 2015-12-16 | 广州汽车集团股份有限公司 | High voltage safety monitoring method and high voltage safety monitoring system |
| CN107045762A (en) * | 2017-04-14 | 2017-08-15 | 重庆和航科技股份有限公司 | Electrical fire remotely monitors dynamic early-warning method and system |
| CN206517156U (en) * | 2017-02-13 | 2017-09-22 | 嵊州领航信息科技有限公司 | Low-voltage intelligent distribution box |
| CN206657458U (en) * | 2017-04-14 | 2017-11-21 | 重庆和航科技股份有限公司 | The long-range monitoring and warning system of electrical fire |
-
2019
- 2019-01-04 CN CN201910009343.7A patent/CN109782051B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2254601Y (en) * | 1996-07-09 | 1997-05-21 | 骆德昌 | Variable value protection device for high-voltage transmission line |
| JP2006269274A (en) * | 2005-03-24 | 2006-10-05 | Nec Corp | Overcurrent prevention outlet box |
| CN202404733U (en) * | 2011-12-08 | 2012-08-29 | 北京工业大学 | General electric quantity collection and transmission device for internet of things based on FPGA (field programmable gate array) |
| CN102646402A (en) * | 2012-04-20 | 2012-08-22 | 青岛海信电器股份有限公司 | Backlight driving voltage control device, backlight driving voltage control method and television |
| CN104808045A (en) * | 2014-01-27 | 2015-07-29 | 三菱电机株式会社 | Electronic indicating instrument |
| CN105158614A (en) * | 2015-09-25 | 2015-12-16 | 广州汽车集团股份有限公司 | High voltage safety monitoring method and high voltage safety monitoring system |
| CN206517156U (en) * | 2017-02-13 | 2017-09-22 | 嵊州领航信息科技有限公司 | Low-voltage intelligent distribution box |
| CN107045762A (en) * | 2017-04-14 | 2017-08-15 | 重庆和航科技股份有限公司 | Electrical fire remotely monitors dynamic early-warning method and system |
| CN206657458U (en) * | 2017-04-14 | 2017-11-21 | 重庆和航科技股份有限公司 | The long-range monitoring and warning system of electrical fire |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110618304A (en) * | 2019-09-24 | 2019-12-27 | 中国计量大学 | Indoor electricity safety monitoring system based on internet of things technology |
| CN111541735A (en) * | 2020-03-12 | 2020-08-14 | 国网河北省电力有限公司雄安新区供电公司 | Direct-current self-adaptive port Internet of things system and control method thereof |
| CN114662058A (en) * | 2022-05-24 | 2022-06-24 | 中国铁塔股份有限公司云南省分公司 | Wireless station monitoring method and device |
| CN114662058B (en) * | 2022-05-24 | 2022-07-29 | 中国铁塔股份有限公司云南省分公司 | Wireless station monitoring method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109782051B (en) | 2020-12-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202533545U (en) | Power transmission network fault detection system based on internet of things technology | |
| CN109782051A (en) | Load current abnormity early warning device, system and method based on Internet of Things | |
| CN201876970U (en) | Intelligent measuring and controlling device for electrical fires | |
| CN204832339U (en) | Electric energy meter and system with load recognition function | |
| CN105866526A (en) | Monitoring method and system for diagnosing electrical device abnormities by use of power consumption fluctuation | |
| CN207731442U (en) | A kind of distributed intelligence electric fire monitoring system | |
| CN201528224U (en) | High-tension line electrified detecting and locking device | |
| US20170353050A1 (en) | Automatic Medium-Voltage Dual-Power-Supply Switching Device | |
| TWI506389B (en) | Monitoring System and Method | |
| JP2009118541A (en) | Power supply state collection system | |
| CN103675606B (en) | Bridge-type DC Line Fault monitoring alarm | |
| CN109980782B (en) | Wireless monitoring detector and system for safe operation of power transmission and distribution line | |
| CN208351282U (en) | Industrial internet of things net controller | |
| Ojo et al. | Design and Implementation of a GSM-based Monitoring System for a Distribution Transformer | |
| CN209327494U (en) | It is a kind of based on the distribution network failure on-line checking positioning system measured indirectly | |
| CN204761165U (en) | Monitored control system is synthesized to rural power grid operation state | |
| Sankaranarayanan et al. | Smart home monitoring using android and wireless sensors | |
| KR101362777B1 (en) | Concent rf communication | |
| CN205622325U (en) | Remote intelligent power dispatching automation equipment examine monitoring system | |
| CN204157111U (en) | A kind of single-lamp controller detecting lamp stand and draw electric leakage of reaching the standard grade | |
| JP2018021826A (en) | Measurement device, measurement system and computer system | |
| CN212933734U (en) | Intelligent electrical safety detection alarm device and system for low-voltage power distribution system | |
| CN205622205U (en) | Monitoring system for bus duct jack box | |
| CN213302351U (en) | Residual current collecting device of low-voltage alternating-current power supply system of transformer substation | |
| CN212063623U (en) | Electric safety intelligent monitoring system for detecting household electricity safety |
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 |