CN107727145A - A kind of distributed power source state monitoring apparatus and method based on Internet of Things - Google Patents
A kind of distributed power source state monitoring apparatus and method based on Internet of Things Download PDFInfo
- Publication number
- CN107727145A CN107727145A CN201710934648.XA CN201710934648A CN107727145A CN 107727145 A CN107727145 A CN 107727145A CN 201710934648 A CN201710934648 A CN 201710934648A CN 107727145 A CN107727145 A CN 107727145A
- Authority
- CN
- China
- Prior art keywords
- distributed power
- power source
- internet
- monitoring
- photovoltaic
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims description 10
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 10
- 238000012549 training Methods 0.000 claims abstract description 8
- 230000007613 environmental effect Effects 0.000 claims abstract description 6
- 238000013480 data collection Methods 0.000 claims abstract description 5
- 230000003862 health status Effects 0.000 claims abstract description 5
- 239000003345 natural gas Substances 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 7
- 230000001413 cellular effect Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 4
- 230000008878 coupling Effects 0.000 claims 1
- 238000010168 coupling process Methods 0.000 claims 1
- 238000005859 coupling reaction Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 8
- 238000005259 measurement Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 4
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 229910052697 platinum Inorganic materials 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 239000004519 grease Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 229920001296 polysiloxane Polymers 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- H02J13/0096—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
-
- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
-
- 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
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Photovoltaic Devices (AREA)
Abstract
The present invention discloses a kind of distributed power source state monitoring apparatus based on Internet of Things.The invention device includes front-end collection unit and background monitoring terminal.Front-end collection unit is used to obtain distributed power source working condition and meteorological environmental information；Background terminal records the data of front-end collection unit acquisition in real time, and combines the electric Monitoring Data of distributed power source and burning natural gas distributed power apparatus account data, and status monitoring and life cycle assessment are carried out to distributed power source；By the study to distributed power source fault data collection, training, assess the health status of distributed power source and failure is prejudged.The present invention can realize distributed power source real-time state monitoring and fault pre-alarming by using technology of Internet of things, and effective technical support means are provided to the friendly grid-connected and reliability service of distributed power source.
Description
Technical field
The present invention relates to distributed power source Condition Monitoring Technology field, particularly a kind of distributed power source based on Internet of Things
State monitoring apparatus and method.
Background technology
Solar energy is the clean energy resource most easily obtained.Recent years, getting worse and the Chinese government with environmental problem
Policy support, ratio of the distributed photovoltaic power generation in power system are increasing.Photovoltaic generation can utilize gobi, mountain area, residence
The plane spaces such as Min Lou roofs laying photovoltaic solar cell plate is generated electricity, convenient and swift.Large-scale distributed power supply is also increasingly
Increase.
Also become increasingly conspicuous however as the grid-connected problem of distributed photovoltaic.First, distributed photovoltaic equipment is by surface dirt, ring
The influence of the factors such as border temperature, direct projection angle and wind speed, affected by environment larger, photovoltaic panel fault rate is higher, traditional prison
Control equipment fails to obtain all ambient parameters above, therefore the monitoring to photovoltaic apparatus is not comprehensive.Secondly, photovoltaic panel and inverse
Become device equipment and have natural aging, there has been no photovoltaic power generation equipment progress state estimation and lifecycle management are ground at present
Study carefully.The equipment such as photovoltaic panel and inverter majority only carries out electrical parameter monitoring, and other ambient condition parameters can only rely on artificial maintenance
Obtain, labor intensity is big, less efficient.
The content of the invention
It is an object of the invention to provide a kind of distributed power source state monitoring apparatus based on Internet of Things, the system passes through
Zigbee builds internet of things, by setting sensor node to obtain photovoltaic panel surface temperature, obtains inverter direct current input ginseng
Count and exchange output parameter, carry out power quality analysis harmony wave analysis, and it is defeated to obtain wind speed and direction information, photovoltaic array
Go out DC voltage and current, inverter input dc power current voltage, GPS location coordinate, intensity of solar radiation, atmospheric temperature and light
Lie prostrate a variety of environmental informations such as surface dirt degree of adhesion.Background monitoring terminal obtains each sensor by VPN VLANs
Node information, and save historical data.The electric power signal information and power distribution automation obtained with reference to distributed photovoltaic measurement system
The management information such as equipment account, state evaluation is carried out to burning natural gas distributed power apparatus.Background terminal software passes through artificial intelligence skill
Art, by the training of sample set, realize distributed power source status monitoring and failure predication.
The technical scheme that the present invention takes is：
A kind of distributed power source state monitoring apparatus based on Internet of Things, it is characterized in that, including front-end collection unit is with after
Platform monitor terminal；Front-end collection unit is used to obtain the distributed power source working condition including photovoltaic and wind-powered electricity generation and meteorological ring
Environment information；The background terminal records the data of front-end collection unit acquisition in real time, and electrically monitors number with reference to distributed power source
According to burning natural gas distributed power apparatus account data, status monitoring and life cycle assessment are carried out to distributed power source；By to dividing
Study, the training of cloth power-failure data collection, assess the health status of distributed power source and failure are prejudged.
The front-end collection unit establishes Zigbee cellular networks at distributed power source, and multiple sensor nodes are passed through
Internet of Things is chained up.
The sensor node includes：
Paster temperature sensor, for monitoring surface of photovoltaic cell panel temperature；
Alternating voltage current sensing module, for obtaining inverter output end information, analyze simultaneously network electric energy quality；
Wind speed and direction sensor, for obtaining wind-force information near photovoltaic panel；
DC voltage and current sensor, for monitoring the output of photovoltaic array and the input of inverter；
GPS location sensor, the local sun angle of pitch is calculated according to latitude and longitude coordinates and GPS-time reference, obtains the sun
The correlation of direct projection angle and photovoltaic efficiency；
Integrated radiant emittance sensor, for recording local solar radiation strength information；
Atmosphere temperature transducer, for obtaining the environment temperature of distributed power source；
Photovoltaic panel surface cleanness sensor, for monitoring the attached grey degree of photovoltaic plate surface.
The front-end collection unit also includes singlechip controller, for the information of each sensor node to be converged
Collection.
Also include an industrial computer, singlechip controller collects is sent to industrial computer network after collection information by serial ports.
The industrial computer is connected to internet, and passes through VPN services and remote monitoring terminal component Virtual Local Area Network；Work
Control machine and background monitoring terminal are respectively provided with separate tP address, so as to realize point-to- point communication.
The background monitoring terminal is according to the distributed power source ambient atmosphere temperature of acquisition, wind speed, wind direction, solar radiation
Degree, the solar radiation angle of pitch and the attached dirt ambient parameter of photovoltaic plate surface, draw distributed power source generating efficiency, running status and ring
The coupled relation of border parameter.
The background monitoring terminal is according to the ambient parameter on the distributed power source periphery of acquisition, the power supply of prediction distribution formula power supply
Capacity.
A kind of distributed power source state monitoring method based on Internet of Things, it is characterized in that, obtained and wrapped by front-end collection unit
Include the distributed power source working condition including photovoltaic and wind-powered electricity generation and meteorological environmental information；
Background terminal record in real time front-end collection unit acquisition data, and combine the electric Monitoring Data of distributed power source and
Burning natural gas distributed power apparatus account data, status monitoring and life cycle assessment are carried out to distributed power source；
By the study to distributed power source fault data collection, training, health status and pair event of distributed power source are assessed
Barrier is prejudged.
Beneficial effect
The present invention by using technology of Internet of things, in front-end collection distributed power source (such as photovoltaic and wind-powered electricity generation) working condition and
Weather environment information, and by machine learning techniques, shape is carried out in backstage Develop Data analysis and evaluation, and then to distributed power source
State is assessed and lifecycle management, so as to realize distributed power source real-time state monitoring and fault pre-alarming, to distributed power source
Friendly grid-connected and reliability service provides effective technical support means.
Brief description of the drawings
Fig. 1 is composition frame chart of the present invention.
Fig. 2 is voltage x current sensing module circuit theory diagrams of the present invention.
Fig. 3 is machine learning flow chart of the present invention.
Embodiment
Further described below in conjunction with the drawings and specific embodiments.It should be appreciated that specific implementation case described herein
Only to explain the present invention, it is not used to limit invention.
As shown in figure 1, multiple sensor nodes use Zigbee cellular networks.Zigbee be it is a kind of closely, low complexity
Degree, low-power consumption, low data rate, the two-way wireless communication technology of low cost, it is primarily suitable for automatically controlling and is led with remote control
Domain, Zigbee can set up cellular network automatically.The present invention uses the Zigbee module based on CC2530 chips.Each sensing
Device node is all connected with a CC2530 sensor assembly, and each node possesses independent ID codings, passes through customized agreement
Mutually communicated.Each sensor node defines respective node function by specific identification code.
Patch sensor uses platinum resistance temperature sensor PT100.Light is snugly fitted to by being mechanically fixed mounting means
Lie prostrate on plate, and smear silicone grease.Platinum resistance temperature sensor stable performance, and in the market has the RTD transmitter of maturation, can
PT100 resistance value is converted to 0-10V voltage signal.
Alternating voltage current sensing module is used for the output for monitoring inverter, to carry out inverter output voltage, electric current, work(
The measurement analysis of rate, the quality of power supply and harmonic wave.Alternating voltage current sensing module passes through voltage transformer summation current transformer
Obtain the three-phase voltage and electric current of inverter output end.Because Zigbee transmittability is limited, and alternating voltage current signal
Data volume is larger, therefore the present invention is monitored by the way for the treatment of in situ and result upload, using ADE7880 power energy monitoring and controlling cores
Piece, which carries out electric parameter measurement and power quality analysis, electric parameter measurement, to be included effective value, attacks power and idle work(
Rate.Power quality analysis mainly include power-frequency voltage and current deviation, voltage disturbance and dodge side, voltage dip, three-phase equilibrium degree,
The indexs such as frequency analysis are measured, and result timing is uploaded.Its circuit theory diagrams is as shown in Figure 2.
Wind speed and direction sensor controls industrial integral type wind speed and direction transmitter HS-FSX03 using Beijing China.It can be incited somebody to action
Wind speed and direction information is according to the voltage signal that range linear transformation is 0-5V.Singlechip controller can be read by A D interface
Wind speed and direction information.
DC voltage and current carries out the measurement of DC quantity using the Hall sensor of isolated form.Its model HNV-025A's
The Hall current sensor of Hall voltage sensor and HNC-025SY.Hall device is manufactured using closed loop Hall magnetic compensation principle,
Primary and secondary side signal is effectively isolated, ensure that the insulation against ground of photovoltaic array.In addition, Hall sensor also has measurement essence
The features such as degree is high, the linearity is good, overload capacity is strong, operating temperature range is wide, it is adapted to the in-site measurement of photovoltaic array.In order to avoid
The decay of signal and noise jamming in long range transmitting procedure, from the electricity that outputting standard signal is current mode in present invention design
Pressure, current sensor.
D GPS locating module uses NEO-6M UBLOX modules, and the module uses standard AT command communications, can obtain GPS seats
Mark and time-base signal.
The calculation formula of sun altitude is as follows：
Wherein, HsRepresent sun altitude,It is geographic latitude, δ is solar declination, and t represents hour angle.
The calculation formula of solar azimuth is as follows：
Wherein, HSRepresent sun altitude,It is geographic latitude, δ is solar declination.
Solar declination δ calculation formula is：
δ (deg)=0.006918-0.399912cos (b)+0.070257sin (b) -0.006758cos (2b
+0.000907sin(2b)-0.002697cos(3b)+0.00148sin(3b)
Wherein b=2 × PI × (N-1)/365, N is that the number of days for calculating day is played from annual January 1.PI represents pi.
It is 0 during solar hour angle t high noons.Be negative value in the morning, afternoon be on the occasion of.It is at sunrise -90 °, is at sunset+90 °.
Solar hour angle t=(true solar time -12) × 15 °
And true solar time calculation formula is as follows：
True solar time=mean solar time+time difference true solar time
Wherein the mean solar time is come by Beijing time and longitude conversion, and time difference true solar time does not have rule, tables look-up and obtains
.
Therefore latitude and longitude coordinates and network time are passed through, you can calculate the real-time solar azimuth of distributed photovoltaic, the orientation
Angle carries time coordinate.Monitor terminal can be according to solar azimuth angle information and again with time coordinate photovoltaic power, the sun
The information of the various dimensions such as radiation intensity is merged, so that the later stage carries out the analysis of various dimensions.
Integrated radiant emittance sensor uses the high-precision illuminance transmitter RS-GZ-I20 of Ren Shuo companies, and the sensor can incite somebody to action
The illumination intensity signal of specific range is converted to 4-20mA current signal, and voltage signal can be changed into by accessing resistance.
Atmosphere temp.and RH sensor uses SHT11 integrated form Temperature Humidity Sensors.
Scattering principle of the photovoltaic surface cleannes sensor based on light, its surface is irradiated using laser at a certain angle,
Its opposite side detects laser intensity.When photovoltaic panel superficial dust is more, scattering light is stronger, and reflected light is weaker, measurement and laser beam
The scattering light light intensity of homonymy, calculated by calibrating, you can obtain the cleannes of photovoltaic panel.
Singlechip controller is STM32 single-chip microcomputers, and its major function is that the stream compression of Zigbee module is changed into serial ports
Data flow, and it is sent to industrial computer.
Industrial computer is serviced by VPN and forms VLAN with monitor terminal.Industrial computer completes the collection of data and pre- place
Reason.
The pretreatment that the industrial computer is carried out is multi-source heterogeneous fusion, filtering and the packet loss polishing of acquisition terminal data.
Monitor terminal obtains the distributed power source status data and environmental data of acquisition terminal collection in real time, while transfers inverse
Become the internal electric parameter that device returns, and electric company's equipment account, photovoltaic apparatus is carried out using certain weight coefficient
Assess.
Monitor terminal integrated AI's technology, by the study to a large amount of photovoltaic fault datas, training, complete photovoltaic and set
The anticipation of standby failure.Its learning process is shown in Fig. 3.First, substantial amounts of photovoltaic apparatus malfunction history data, and these data are prepared
Corresponding fault type, the fault type are often the fault type confirmed by expert.I.e. training set needs artificial determine.
MapReduce frameworks based on Google, are trained to the fault model based on Bayes, to obtain optimal ginseng
Number.
Furthermore the data of front-end collection unit collection are filtered, filling processing.
Finally, using the model trained, fault distinguishing is carried out to unknown real time data.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by each in computer program instructions implementation process figure and/or block diagram
Flow and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computers can be provided
Processor of the programmed instruction to all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices
To produce a machine so that produce use by the instruction of computer or the computing device of other programmable data processing devices
In the dress for realizing the function of being specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
Put.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Claims (9)
1. a kind of distributed power source state monitoring apparatus based on Internet of Things, it is characterized in that, including front-end collection unit and backstage
Monitor terminal；Front-end collection unit is used to obtain the distributed power source working condition and weather environment including photovoltaic and wind-powered electricity generation
Information；The background terminal records the data of front-end collection unit acquisition in real time, and combines the electric Monitoring Data of distributed power source
With burning natural gas distributed power apparatus account data, status monitoring and life cycle assessment are carried out to distributed power source；By to distribution
Study, the training of formula power-failure data collection, assess the health status of distributed power source and failure are prejudged.
2. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 1, it is characterized in that, it is described
Front-end collection unit establishes Zigbee cellular networks at distributed power source, and multiple sensor nodes are picked up by Internet of Things chain
Come.
3. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 2, it is characterized in that, it is described
Sensor node includes：
Paster temperature sensor, for monitoring surface of photovoltaic cell panel temperature；
Alternating voltage current sensing module, for obtaining inverter output end information, analyze simultaneously network electric energy quality；
Wind speed and direction sensor, for obtaining photovoltaic panel wind-force information；
DC voltage and current sensor, for monitoring the output of photovoltaic array and the input of inverter；
GPS location sensor, the local sun angle of pitch is calculated according to latitude and longitude coordinates and GPS-time reference, obtains direct sunlight
The correlation of angle and photovoltaic efficiency；
Integrated radiant emittance sensor, for recording local solar radiation strength information；
Atmosphere temperature transducer, for obtaining the environment temperature of distributed power source；
Photovoltaic panel surface cleanness sensor, for monitoring the attached grey degree of photovoltaic plate surface.
4. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 1,2 or 3, its feature
It is that the front-end collection unit also includes singlechip controller, for the information of each sensor node to be collected.
5. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 4, it is characterized in that, also wrap
Include an industrial computer, singlechip controller collects is sent to industrial computer network after collection information by serial ports.
6. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 1, it is characterized in that, it is described
Industrial computer is connected to internet, and passes through VPN services and remote monitoring terminal component Virtual Local Area Network；Industrial computer and backstage are supervised
Control terminal is respectively provided with separate tP address, so as to realize point-to- point communication.
7. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 1, it is characterized in that, it is described
Background monitoring terminal is bowed according to the distributed power source ambient atmosphere temperature of acquisition, wind speed, wind direction, solar irradiance, solar radiation
The elevation angle and the attached dirt ambient parameter of photovoltaic plate surface, draw the coupling of distributed power source generating efficiency, running status and ambient parameter
Relation.
8. a kind of distributed power source state monitoring apparatus based on Internet of Things according to claim 1, it is characterized in that, it is described
Background monitoring terminal is according to the ambient parameter on the distributed power source periphery of acquisition, prediction distribution formula power supply power supply capacity.
9. a kind of distributed power source state monitoring method based on Internet of Things, it is characterized in that, being obtained by front-end collection unit includes
Distributed power source working condition and meteorological environmental information including photovoltaic and wind-powered electricity generation；
Background terminal records the data of front-end collection unit acquisition in real time, and combines the electric Monitoring Data of distributed power source and distribution
Formula power-supply device account data, status monitoring and life cycle assessment are carried out to distributed power source；
By the study to distributed power source fault data collection, training, assess the health status of distributed power source and failure is entered
Row anticipation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710934648.XA CN107727145A (en) | 2017-10-10 | 2017-10-10 | A kind of distributed power source state monitoring apparatus and method based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710934648.XA CN107727145A (en) | 2017-10-10 | 2017-10-10 | A kind of distributed power source state monitoring apparatus and method based on Internet of Things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107727145A true CN107727145A (en) | 2018-02-23 |
Family
ID=61210059
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710934648.XA Pending CN107727145A (en) | 2017-10-10 | 2017-10-10 | A kind of distributed power source state monitoring apparatus and method based on Internet of Things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107727145A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111371899A (en) * | 2020-03-13 | 2020-07-03 | 山东三电新能源技术有限公司 | Data acquisition method and system suitable for large-scale distributed photovoltaic |
| CN111697700A (en) * | 2020-06-11 | 2020-09-22 | 广西扬翔农牧有限责任公司 | Power supply central control system |
| CN112163018A (en) * | 2020-09-27 | 2021-01-01 | 国家电网有限公司 | Method, device and system for determining life cycle of photovoltaic module |
| CN112504348A (en) * | 2020-12-11 | 2021-03-16 | 厦门汇利伟业科技有限公司 | Object state display method and system fusing environmental factors |
| WO2021147509A1 (en) * | 2020-01-21 | 2021-07-29 | 山东建筑大学 | Internet-of-things-based method for monitoring use of catering disinfection device, and server and system |
| CN113254311A (en) * | 2021-05-31 | 2021-08-13 | 广州衡昊数据科技有限公司 | Monitoring system and monitoring method of distributed power supply system |
| CN113687257A (en) * | 2021-08-27 | 2021-11-23 | 广东省科学院电子电器研究所 | Power supply health state dynamic evaluation method and device |
| CN114372594A (en) * | 2021-12-08 | 2022-04-19 | 国网山东省电力公司烟台供电公司 | Distributed power supply comprehensive analysis and safety management and control system |
| CN115754866A (en) * | 2022-11-04 | 2023-03-07 | 国网山东省电力公司电力科学研究院 | System and method for monitoring and early warning of whole life cycle of relay protection tester |
| CN117895899A (en) * | 2024-03-18 | 2024-04-16 | 西安中创新能网络科技有限责任公司 | Photovoltaic panel cleanliness detection method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103401315A (en) * | 2013-08-18 | 2013-11-20 | 苏州快可光电科技有限公司 | Distributed generation Internet of Things control system |
| CN203455707U (en) * | 2013-09-25 | 2014-02-26 | 西安众智惠泽光电科技有限公司 | Solar energy photovoltaic power station monitoring system |
| CN204168236U (en) * | 2014-11-25 | 2015-02-18 | 江苏蓝天光伏科技有限公司 | A kind of experimental rig for photovoltaic power generation quantity measuring and calculating |
| CN104579166A (en) * | 2015-02-10 | 2015-04-29 | 河海大学常州校区 | Distributed photovoltaic power station monitoring system and fault diagnosis method thereof |
| CN105373087A (en) * | 2014-08-29 | 2016-03-02 | 西安众智惠泽光电科技有限公司 | Monitoring method of solar photovoltaic power station |
| CN106067760A (en) * | 2016-08-23 | 2016-11-02 | 江苏南能电气有限公司 | A kind of photo-voltaic power supply monitoring system based on cloud platform |
| CN205725162U (en) * | 2016-05-18 | 2016-11-23 | 国网山东省电力公司青岛供电公司 | Distributed power source parallel control system |
| CN106160659A (en) * | 2016-08-24 | 2016-11-23 | 河海大学常州校区 | A kind of photovoltaic plant region orientation method for diagnosing faults |
-
2017
- 2017-10-10 CN CN201710934648.XA patent/CN107727145A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103401315A (en) * | 2013-08-18 | 2013-11-20 | 苏州快可光电科技有限公司 | Distributed generation Internet of Things control system |
| CN203455707U (en) * | 2013-09-25 | 2014-02-26 | 西安众智惠泽光电科技有限公司 | Solar energy photovoltaic power station monitoring system |
| CN105373087A (en) * | 2014-08-29 | 2016-03-02 | 西安众智惠泽光电科技有限公司 | Monitoring method of solar photovoltaic power station |
| CN204168236U (en) * | 2014-11-25 | 2015-02-18 | 江苏蓝天光伏科技有限公司 | A kind of experimental rig for photovoltaic power generation quantity measuring and calculating |
| CN104579166A (en) * | 2015-02-10 | 2015-04-29 | 河海大学常州校区 | Distributed photovoltaic power station monitoring system and fault diagnosis method thereof |
| CN205725162U (en) * | 2016-05-18 | 2016-11-23 | 国网山东省电力公司青岛供电公司 | Distributed power source parallel control system |
| CN106067760A (en) * | 2016-08-23 | 2016-11-02 | 江苏南能电气有限公司 | A kind of photo-voltaic power supply monitoring system based on cloud platform |
| CN106160659A (en) * | 2016-08-24 | 2016-11-23 | 河海大学常州校区 | A kind of photovoltaic plant region orientation method for diagnosing faults |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021147509A1 (en) * | 2020-01-21 | 2021-07-29 | 山东建筑大学 | Internet-of-things-based method for monitoring use of catering disinfection device, and server and system |
| CN111371899B (en) * | 2020-03-13 | 2022-07-12 | 山东三电新能源技术有限公司 | Data acquisition method and system suitable for large-scale distributed photovoltaic |
| CN111371899A (en) * | 2020-03-13 | 2020-07-03 | 山东三电新能源技术有限公司 | Data acquisition method and system suitable for large-scale distributed photovoltaic |
| CN111697700A (en) * | 2020-06-11 | 2020-09-22 | 广西扬翔农牧有限责任公司 | Power supply central control system |
| CN112163018A (en) * | 2020-09-27 | 2021-01-01 | 国家电网有限公司 | Method, device and system for determining life cycle of photovoltaic module |
| CN112504348A (en) * | 2020-12-11 | 2021-03-16 | 厦门汇利伟业科技有限公司 | Object state display method and system fusing environmental factors |
| CN113254311B (en) * | 2021-05-31 | 2022-12-13 | 广州衡昊数据科技有限公司 | Monitoring system and monitoring method of distributed power supply system |
| CN113254311A (en) * | 2021-05-31 | 2021-08-13 | 广州衡昊数据科技有限公司 | Monitoring system and monitoring method of distributed power supply system |
| CN113687257A (en) * | 2021-08-27 | 2021-11-23 | 广东省科学院电子电器研究所 | Power supply health state dynamic evaluation method and device |
| CN114372594A (en) * | 2021-12-08 | 2022-04-19 | 国网山东省电力公司烟台供电公司 | Distributed power supply comprehensive analysis and safety management and control system |
| CN115754866A (en) * | 2022-11-04 | 2023-03-07 | 国网山东省电力公司电力科学研究院 | System and method for monitoring and early warning of whole life cycle of relay protection tester |
| CN115754866B (en) * | 2022-11-04 | 2024-03-26 | 国网山东省电力公司电力科学研究院 | Relay protection tester full life cycle monitoring and early warning system and method |
| CN117895899A (en) * | 2024-03-18 | 2024-04-16 | 西安中创新能网络科技有限责任公司 | Photovoltaic panel cleanliness detection method and system |
| CN117895899B (en) * | 2024-03-18 | 2024-05-31 | 西安中创新能网络科技有限责任公司 | Photovoltaic panel cleanliness detection method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107727145A (en) | A kind of distributed power source state monitoring apparatus and method based on Internet of Things | |
| CN104680424B (en) | The voltage power situation predictor method in large-sized photovoltaic power station | |
| CN109450376A (en) | Photovoltaic generating system state on_line monitoring and fault location system and method | |
| CN105337575B (en) | Photovoltaic plant status predication and method for diagnosing faults and system | |
| CN102723394B (en) | Junction box of photovoltaic assembly | |
| Singh et al. | Generalized neural network methodology for short term solar power forecasting | |
| US20170338659A1 (en) | Systems and methods for dispatching maximum available capacity for photovoltaic power plants | |
| CN204190699U (en) | A kind of supervisory control system based on Internet of Things solar components | |
| Ramu et al. | An IoT‐based smart monitoring scheme for solar PV applications | |
| Khasanov et al. | WSN-BASED MONITORING SYSTEMS FOR THE SOLAR POWER STATIONS OF THE TELECOMMUNICATION DEVICES | |
| Zhi et al. | A physical model with meteorological forecasting for hourly rooftop photovoltaic power prediction | |
| CN206741294U (en) | Energy information on-line detecting system based on teledata interaction | |
| Ziane et al. | IoT Platform For Online Monitoring Of Renewable Energy Systems | |
| CN109888833A (en) | A kind of monitoring of household solar energy generating equipment and energy management system based on Internet of Things | |
| CN206757872U (en) | Photovoltaic application system remote monitoring system | |
| CN203249699U (en) | Power network operation equipment temperature sensing system based on technology of Internet of Things | |
| Kala et al. | Introduction to condition monitoring of PV system | |
| CN210927564U (en) | Data acquisition system for photovoltaic power station | |
| CN108280546A (en) | Photovoltaic power generation power prediction method and forecasting system | |
| Zhang et al. | Design of “Internet+”-Based Intelligent Greenhouse Control System | |
| CN106681367A (en) | Automatic tracking type monitoring system | |
| CN106681364A (en) | Tracking system for monitoring power station | |
| Daliento et al. | Wireless sensor for monitoring of individual pv modules | |
| Liu et al. | Design of ZigBee-based energy harvesting wireless sensor network and modeling of solar energy | |
| CN106681242A (en) | Monitoring system used for power station |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180223 |
|
| RJ01 | Rejection of invention patent application after publication |