CN110197442A - A kind of wind-resources assessment system of combination Quality Control - Google Patents
A kind of wind-resources assessment system of combination Quality Control Download PDFInfo
- Publication number
- CN110197442A CN110197442A CN201910495442.0A CN201910495442A CN110197442A CN 110197442 A CN110197442 A CN 110197442A CN 201910495442 A CN201910495442 A CN 201910495442A CN 110197442 A CN110197442 A CN 110197442A
- Authority
- CN
- China
- Prior art keywords
- wind
- resources
- data
- quality control
- controller
- 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
- 238000003908 quality control method Methods 0.000 title claims abstract description 46
- 238000012216 screening Methods 0.000 claims abstract description 15
- 238000007689 inspection Methods 0.000 claims description 23
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 9
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 claims description 6
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims description 5
- 229910052697 platinum Inorganic materials 0.000 claims description 3
- 230000005619 thermoelectricity Effects 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 description 7
- 238000000034 method Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000002547 anomalous effect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- FNMKZDDKPDBYJM-UHFFFAOYSA-N 3-(1,3-benzodioxol-5-yl)-7-(3-methylbut-2-enoxy)chromen-4-one Chemical compound C1=C2OCOC2=CC(C2=COC=3C(C2=O)=CC=C(C=3)OCC=C(C)C)=C1 FNMKZDDKPDBYJM-UHFFFAOYSA-N 0.000 description 1
- 241000220317 Rosa Species 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention discloses a kind of wind-resources assessment systems of combination Quality Control, including the data acquisition device, quality control apparatus, stock assessment device being sequentially connected；The collected wind-resources data are transferred to the quality control apparatus for acquiring wind-resources data by the data acquisition device；The wind-resources data that the quality control apparatus is used to acquire the data acquisition device carry out consistency check and screening, and the wind-resources data after the screening are transmitted to the stock assessment device；The stock assessment device is used to generate wind-resources assessment report according to the wind-resources data after the screening.The invention has the advantages that data acquisition device data collected include the topographic(al) feature of the position, and the data of the acquisition are assessed being transmitted further to stock assessment device after quality control apparatus screens, effectively improve the accuracy of wind-resources assessment, for anemometer tower, wind power plant final addressing provide more fully, effective scientific basis.
Description
Technical field
The present invention relates to a kind of wind-resources assessment system more particularly to a kind of wind-resources assessment systems of combination Quality Control, belong to
In the technical field that wind-resources utilize.
Background technique
Due to the continuous exploitation of fossil energy, the whole world is faced with resource exhaustion, the status of environmental degradation, exploitation cleaning energy
Source, new energy realize that sustainable development becomes the energy targets of various countries.And wind energy is as a kind of clean energy resource, due to its exploitation
It is at low cost, resourceful, the target stood in the breach as new energy development.Currently, wind generating technology has tended to maturation and can
It is higher by property, it is new energy with fastest developing speed.
When using wind-power electricity generation, before investing to build wind field, needs to carry out a certain place prolonged data acquisition and see
It surveys, then using the relevant wind-resources assessment of the data progress for acquiring to observing, to predict the place if appropriate for construction
Wind power plant.Evaluation of Wind Energy Resources is to carry out wind power resources utilization to plan a most key step, and Evaluation of Wind Energy Resources result is to state
Family and local government formulate Wind Power Development planning and assessment wind power plant on-road efficiency is most important.
However, in the prior art, some wind power plants when carrying out wind-resources assessment, because acquisition wind-resources data without
Processing, abnormal data therein have an impact assessment result, and after causing many wind power plants to be constructed and put into operation, average annual energy output is wanted
Lower than predicted value 20%~30%, expected generated energy is not achieved, causes huge economic loss.Secondly, the wind-resources of wind field
Also there are much relations with the terrain data in place of founding the factory, many wind power plants do not account for the factor of landform, cause yet when assessing
The inaccuracy of wind-resources assessment.
Summary of the invention
Goal of the invention: in view of the above-mentioned problems, the object of the present invention is to provide a kind of wind-resources assessment system of combination Quality Control,
Collected wind-resources data are effectively filtered, provide more accurate foundation for the addressing of anemometer tower and wind power plant,
Improve the accuracy of wind power plant generated energy prediction.
Technical solution: a kind of wind-resources assessment system of combination Quality Control, including be sequentially connected data acquisition device, quality
Control device, stock assessment device；
The collected wind-resources data are transferred to described by the data acquisition device for acquiring wind-resources data
Quality control apparatus；
The wind-resources data that the quality control apparatus is used to acquire the data acquisition device carry out consistency check
And screening, and the wind-resources data after the screening are transmitted to the stock assessment device；
The stock assessment device is used to generate wind-resources assessment report according to the wind-resources data after the screening.
Further, the data acquisition device includes controller, I/O mouth mold block, power module, meteorological element sensing
Device, the power module are connect with the controller, and the I/O mouth mold block is integrated on the controller, the meteorological element
Sensor connects the controller by the I/O mouth mold block.In this structure, controller be receive, processing, transmission data and
The organ for coordinating each device work is transferred to control by I/O mouth mold block after meteorological element sensor acquires each meteorological element
Device processed.
Further, the meteorological element sensor connects the I/O mouth mold block, the output module by output module
Including the A/D conversion circuit being connected and output circuit, the A/D conversion circuit connects the meteorological element sensor, described
Output circuit connects the I/O mouth mold block.In this structure, the collected meteorological data of meteorological element sensor is analog signal,
After the analog signal passes sequentially through A/D conversion circuit and output circuit realization analog-to-digital conversion, it is converted into digital signal, then pass through I/
O mouth mold block is transmitted to storage in controller, processing.
Further, the meteorological element sensor include the air velocity transducer being connected on the I/O mouth mold block and/or
Wind transducer and/or temperature sensor and/or humidity sensor and/or baroceptor.In this structure, air velocity transducer is used
In acquisition air speed data, wind transducer is used for temperature collection data, humidity sensor for acquiring wind direction data, temperature sensor
Device is for acquiring humidity data, and baroceptor is for acquiring barometric information.
Further, the controller uses AT91SAM9260B-CFU cake core, and the air velocity transducer uses NRG#
40 type air velocity transducers, the wind transducer use NRG#200P type wind transducer, and the temperature sensor uses PT100
Type platinum thermal resistance sensor, the humidity sensor use HIH-3602 type humidity sensor, and the baroceptor uses
MS5201-BD type baroceptor.
Further, the data acquisition device further includes GPS module, topographic database, and the GPS module is integrated in institute
It states on controller, the topographic database connects the controller by the I/O mouth mold block.In this structure, GPS module is used for
The geographical location of wind field is positioned, controller calls the topographic(al) feature of current geographic position in topographic database later, combines
The data acquisition of topographic(al) feature can be used for preferably analyzing wind-resources feature.
Further, the topographic database uses country's 1:50000 topographic(al) feature database, which is by water
The database that the core topographic(al) feature of the major class such as system, contour, boundary, traffic, settlement place is constituted, including the sky between topographic(al) feature
Between relationship and correlation attribute information.
Further, the data acquisition device further includes the module that reports an error, and the controller passes through described in CAN bus connection
Report an error module, to remind staff to handle in time when there are transmission error in data or other problems.
Further, the consistency check of the quality control apparatus includes internal consistency inspection and/or time consistency
Property inspection and/or boundary consistency check and/or extreme value inspection.
Further, the wind-resources assessment report of stock assessment device output include wind energy resources distribution map and/or
Wind speed daily variation diagram and/or wind speed monthly variation figure and/or wind rose map and/or wind energy figure and/or wind velocity distributing paremeter figure and/
Or wind energy concentration figure.
The utility model has the advantages that compared with prior art, the invention has the advantages that data acquisition device data collected include should
The topographic(al) feature of position, and the data of the acquisition are being transmitted further to the progress of stock assessment device after quality control apparatus screens
Assessment, effectively improves the accuracy of wind-resources assessment, the final addressing for anemometer tower, wind power plant provides more fully, effectively
Scientific basis.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention；
Fig. 2 is meteorological element sensor and I/O mouth mold block attachment structure schematic diagram；
Fig. 3 is the screening process schematic diagram of quality control apparatus；
Fig. 4 is the schematic diagram of wind energy resources distribution report；
Fig. 5 is the schematic diagram of wind speed diurnal variation report；
Fig. 6 is the schematic diagram of wind rose map；
Fig. 7 is wind velocity distributing paremeter figure.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate
The present invention rather than limit the scope of the invention.
A kind of wind-resources assessment system of combination Quality Control, as shown in Fig. 1, including be sequentially connected data acquisition device 1,
Quality control apparatus 2, stock assessment device 3.
The collected wind-resources data are transferred to quality control for acquiring wind-resources data by data acquisition device 1
Device 2 processed.In the present embodiment, data acquisition device 1 includes controller 11, I/O mouth mold block 12, power module 13, meteorological element
Sensor 14, output module 15, GPS module 16, topographic database 17, the module that reports an error 18, GPRS module.It is integrated on controller 11
There are I/O mouth mold block 12, SATA mouthfuls, HDMI mouthfuls, RJ45 mouthfuls, CAN bus, GPS module 16, GPRS module, controller 11 passes through
SATA mouthfuls of connection power modules 13, to power to controller；Meteorological element sensor 14 is connected by I/O mouth mold block 12, with reality
The acquisition of existing meteorological element data；By RJ45 mouthfuls of connection local area networks, to realize resource-sharing；It is long-range by GPRS module connection
Data platform, to enhance adaptability, the rapidity of data transmission；By HDMI mouthfuls of connection LCD displays, to realize acquisition data
Visualization；The module 18 that reports an error is connected by CAN bus, mentioned in time when there is transmission error in data or network problem
Awake staff is handled.
In the present embodiment, meteorological element sensor 14 include the air velocity transducer 141 that is connected on I/O mouth mold block 12 and/
Or wind transducer 142 and/or temperature sensor 143 and/or humidity sensor 144 and/or baroceptor 145.Meanwhile by
In the collected meteorological data of meteorological element sensor be analog signal, to realize conversion of the analog signal to digital signal,
As shown in Fig. 2, meteorological element sensor 14 connects I/O mouth mold block 12 by output module 15, and output module 15 includes being connected
The A/D conversion circuit 151 and output circuit 152 connect, A/D conversion circuit 151 connect meteorological element sensor 14, output circuit
152 connection I/O mouth mold blocks 12.
In the present embodiment, in addition to the data for realizing each meteorological element acquire, the acquisition of terrain data is also achieved.GPS
Module 16 is integrated on controller 11, and topographic database 17 connects controller 11 by I/O mouth mold block 12, meanwhile, terrain data
Library 17 preferably uses country's 1:50000 topographic(al) feature database.GPS module is used to position the geographical location of wind field, passes through GPS mould
Country's 1:50000 topographic(al) feature database is called in the positioning of block, which is by water system, contour, boundary, traffic, resident
The database that the core topographic(al) feature of the major class such as ground is constituted, including the spatial relationship and correlation attribute information between topographic(al) feature, ground
Graphic data can be used for preferably analyzing wind-resources feature, such as landform and wind energy combination can draw the wind energy resources point of wind field
Butut.
In the present embodiment, controller 11 uses AT91SAM9260B-CFU cake core, and air velocity transducer 141 uses NRG#40
Type air velocity transducer, wind transducer 142 use NRG#200P type wind transducer, and temperature sensor 143 uses PT100 type platinum
Thermal resistance sensor, humidity sensor 144 use HIH-3602 type humidity sensor, and baroceptor 145 uses MS5201-BD
Type baroceptor, GPS module 16 select Beidou EG12-BZ chip, and GPRS module selects RDA8851 type GPRS chip.
Data acquisition device 1 is collected after completing the acquisition of meteorological data and terrain data by GPRS module
Data be transferred to quality control apparatus 2, consistency check and screening are carried out to the data by quality control apparatus 2.Analysis
Meteorological data generates the reason of anomalous differences, can be divided into systematic error, gross error, random error, microclimate error.System is missed
Difference is that there are many sources, and distribution is asymmetric, and the duration is long；Gross error is compiled by measuring device failure, or in data
Code is handled, and is generated in transmission process；Random error is that data are intrinsic, independently of measurement data and is met centered on 0
Normal distribution；It includes that the small scale weather system disturbances of data causes that microclimate error, which is due to data quality control, due to
Observation system spatial and temporal resolution reason, these weather systems will not generally be observed completely, but worked as and observed this weather system
When system, data are observed with the surrounding station compared with the time, are exactly exceptional value.The consistency check that quality control apparatus 2 carries out
It is scarce measured data, wrong data and the suspicious data found in data with screening, and mark is made to these data, or use
Accurately value replaces as far as possible, by the consistency check and screening process, has data preferably representative, accurately
It is property, comparative.In the present embodiment, data are labeled by the doubtful accidentally type of data, are provided with 4 quality control codes (0-3):
0 indicates not check, and 1 indicates correct, and 2 indicate suspicious, and 3 indicate mistake.Can be to check whether manually for suspicious data
Reasonable data, if unreasonable data can carry out interpolation processing, carries out data and orders if reasonable data then cancels suspicious mark
Just.The data of mistake can be deleted directly.
In the present embodiment, as shown in Fig. 3, the consistency check that quality control apparatus 2 carries out includes internal consistency inspection
It looks into and/or time consistency inspection and/or boundary consistency check and/or extreme value inspection.In each examination phase, can all export
The quality control code of data, if data are correct, control code is just 1, if data are incorrect, control code is divided into 2 suspicious and 3 mistakes
Accidentally.If for boundary value inspection data not within the scope of boundary value, data mistake directly deletes the data of mistake
It removes.And for extreme value inspection, internal consistency inspection, time consistency inspection, if data are unsatisfactory for requiring, for suspicious number
According to, because may be the reasonable data generated due to anomalous weather, need to be analyzed according to the weather condition on the same day, if it is
Reasonable data, control code are just changed to 1, can correct data with interpolation method if it is abnormal data, again by the data corrected
Carry out boundary value inspection, extreme value inspection, internal consistency inspection, time consistency inspection is defeated data until data are errorless
Out, the assessment of wind-resources is carried out.The boundary consistency check mainly checks whether each element value has exceeded its critical range, wind
The reasonable limit value range of data are as follows: wind speed (0m/s~75m/s), wind direction (0 °~360 °).Extreme value inspection is to check that meteorology is wanted
The meteorological element maximin whether element record once occurred in history more than the station, it is contemplated that historical summary matter that may be present
Amount problem, when formulating Extreme Parameters, each each moon each element of standing is averaged first in calculating surface Weather forecast historical summary
Value and standard deviation, then the standard deviation of using average value to add and subtract 2 times is as the element extreme value i.e. conventional method of each station each moon, however it is many
Newly-built automatic Observation station there is no longer historical summary come calculate its each element average and standard deviation so that it is determined that its
Extreme value, so for such newly-built station quality control can only be carried out with the meteorological extreme value of neighboring station.Internal consistency inspection is
The inspection for whether meeting certain physical link between similar meteorological element or inhomogeneity meteorological element observation referred to, specifically, right
In the inspection of wind direction and wind velocity, mode below is taken: if wind direction degree is greater than 360 degree or less than 0 degree, marking wind component
For wrong data；If wind direction degree is greater than 1 degree, and wind speed is 0, then marking wind component is wrong data；The extreme value of wind speed is set
It is set to 75m/s, the wind observation greater than this extreme value is considered as wrong data.Data change with time with certain rule,
It is called time consistency inspection to whether the variation of data meets this rule.Data cannot be beyond the variation model in certain time
It encloses, the data exceeded are suspicious data.Specifically, adjacent minute wind speed changing value answers≤5m/s, adjacent hour wind speed changing value
Answer≤30m/s, 10 minutes mean wind speeds≤day maximum wind velocity.After the data consistent check of the present embodiment and screening, meeting
The mistake for rejecting some data acquisitions or data transmission procedure appearance, the data after data quality control can be more accurate,
More accurately data resource is provided for wind-resources assessment later, improves the validity and accuracy of wind-resources assessment.
After the consistency check of quality control apparatus 2 and screening, data are transferred to stock assessment by GPRS module
Device 3, stock assessment device 3 generates wind-resources assessment according to the data after the screening and reports, in the present embodiment, stock assessment dress
The wind-resources assessment report for setting 3 outputs includes wind energy resources distribution map and/or wind speed daily variation diagram and/or wind speed monthly variation figure
And/or wind rose map and/or wind energy figure and/or wind velocity distributing paremeter figure and/or wind energy concentration figure.
It is wind energy resources distribution map as shown in Fig. 4, wind energy resources distribution map is according to gas such as the landform in somewhere and wind energies
As the wind energy grade figure that Element Drawing comes out, the wind-resources size in somewhere can be clearly observed.Wind speed day month variation diagram is
Refer to the variation in one day/month of wind speed, can reflect wind speed in the situation of change in the one day/middle of the month.A typical day should generally be chosen
With a typical moon, typical day by when wind speed variation can reflect the general diurnal variation law of wind, the typical moon wind speed day by day become
Change the general monthly variation rule that can reflect wind.It is as shown in Fig. 5 wind speed diurnal variation curve figure, as seen from the figure: the day of wind speed becomes
Changing curve graph has certain trend, and daytime, wind speed was less than normal, and night wind speed is bigger than normal.When 3 to 17, wind speed is on a declining curve；17
When to next day 3 when, wind speed is in apparent ascendant trend.Wind direction statistics description be it is reflected by wind rose map, such as
Shown in attached drawing 6, wind rose map indicates the frequency of wind direction, it is each wind direction and wind according to a certain regional many years average statistics
The percent value of speed, and draw by a certain percentage, general multi-purpose 8 or 16 compass azimuths indicate, because its shape exactly likes rose, because
This gains the name.The utilization of wind energy mainly converts its kinetic energy to the energy of other forms, and therefore, the size for calculating wind energy is namely counted
Calculate kinetic energy possessed by air-flow.It is known as effective wind energy density by the wind energy concentration that effective wind speed calculates.Wind energy concentration is that air-flow exists
Perpendicular through the wind energy of unit cross-sectional area in unit time.As shown in Fig. 7, wind velocity distributing paremeter figure is double using Weibull distribution
Parameter curve signal.
In the present embodiment, stock assessment device 3 is connected with LCD display, to pass through the LCD display real-time display resource
It assesses each meteorological data that device generates and assesses map, realize information visuallization.
The wind-resources assessment system of the present embodiment, data acquisition device data collected include that the landform of the position is wanted
Element, and the data of the acquisition are transmitted further to stock assessment device after quality control apparatus screens and are assessed, and are effectively promoted
The accuracy of wind-resources assessment, for anemometer tower, wind power plant final addressing provide more fully, effective scientific basis, keep away
Exempt from misvaluing for wind power plant generated energy, saves economic cost for power plant.Meanwhile the number after quality control apparatus screens
According to that can also be transferred in other platforms or device by GPRS transmission module, otherwise research is carried out.In addition, data exist
Data acquisition device, quality control apparatus are wirelessly transferred when transmitting between stock assessment device using GPRS, and cost has been saved,
With easily and fast, advantage in real time.
Claims (10)
1. a kind of wind-resources assessment system of combination Quality Control, it is characterised in that: including be sequentially connected data acquisition device (1),
Quality control apparatus (2), stock assessment device (3)；
The collected wind-resources data are transferred to described by the data acquisition device (1) for acquiring wind-resources data
Quality control apparatus (2)；
The wind-resources data that the quality control apparatus (2) is used to acquire the data acquisition device (1) carry out consistency inspection
It looks into and screens, and the wind-resources data after the screening are transmitted to the stock assessment device (3)；
The stock assessment device (3) is used to generate wind-resources assessment report according to the wind-resources data after the screening.
2. a kind of wind-resources assessment system of combination Quality Control according to claim 1, it is characterised in that: the data acquisition
Device (1) includes controller (11), I/O mouth mold block (12), power module (13), meteorological element sensor (14), the power supply
Module (13) is connect with the controller (11), and the I/O mouth mold block (12) is integrated on the controller (11), the meteorology
Essential sensor (14) connects the controller (11) by the I/O mouth mold block (12).
3. a kind of wind-resources assessment system of combination Quality Control according to claim 2, it is characterised in that: the meteorological element
Sensor (14) connects the I/O mouth mold block (12) by output module (15), and the output module (15) includes being connected
A/D conversion circuit (151) and output circuit (152), the A/D conversion circuit (151) connect the meteorological element sensor
(14), the output circuit (152) connects the I/O mouth mold block (12).
4. a kind of wind-resources assessment system of combination Quality Control according to claim 2, it is characterised in that: the meteorological element
Sensor (14) includes the air velocity transducer (141) and/or wind transducer (142) being connected on the I/O mouth mold block (12)
And/or temperature sensor (143) and/or humidity sensor (144) and/or baroceptor (145).
5. a kind of wind-resources assessment system of combination Quality Control according to claim 4, it is characterised in that: the controller
(11) AT91SAM9260B-CFU cake core is used, the air velocity transducer (141) uses NRG#40 type air velocity transducer, described
Wind transducer (142) uses NRG#200P type wind transducer, and the temperature sensor (143) uses PT100 type platinum thermoelectricity
Sensor is hindered, the humidity sensor (144) uses HIH-3602 type humidity sensor, and the baroceptor (145) uses
MS5201-BD type baroceptor.
6. a kind of wind-resources assessment system of combination Quality Control according to claim 2, it is characterised in that: the data acquisition
Device (1) further includes GPS module (16), topographic database (17), and the GPS module (16) is integrated in the controller (11)
On, the topographic database (17) connects the controller (11) by the I/O mouth mold block (12).
7. a kind of wind-resources assessment system of combination Quality Control according to claim 6, it is characterised in that: the terrain data
Library (17) uses country's 1:50000 topographic(al) feature database.
8. a kind of wind-resources assessment system of combination Quality Control according to claim 2, it is characterised in that: the data acquisition
Device (1) further includes report an error module (18), and the controller (11) is by reporting an error module (18) described in CAN bus connection.
9. a kind of wind-resources assessment system of combination Quality Control according to claim 1, it is characterised in that: the quality control
The consistency check of device (2) includes internal consistency inspection and/or time consistency inspection and/or boundary consistency check
And/or extreme value inspection.
10. a kind of wind-resources assessment system of combination Quality Control according to claim 1, it is characterised in that: the resource is commented
The wind-resources assessment report for estimating device (3) output includes becoming wind energy resources distribution map and/or wind speed daily variation diagram and/or the wind speed moon
Change figure and/or wind rose map and/or wind energy figure and/or wind velocity distributing paremeter figure and/or wind energy concentration figure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910495442.0A CN110197442A (en) | 2019-06-10 | 2019-06-10 | A kind of wind-resources assessment system of combination Quality Control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910495442.0A CN110197442A (en) | 2019-06-10 | 2019-06-10 | A kind of wind-resources assessment system of combination Quality Control |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110197442A true CN110197442A (en) | 2019-09-03 |
Family
ID=67754257
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910495442.0A Pending CN110197442A (en) | 2019-06-10 | 2019-06-10 | A kind of wind-resources assessment system of combination Quality Control |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110197442A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110726850A (en) * | 2019-10-08 | 2020-01-24 | 南京信息工程大学 | Railway crosswind early warning system based on wind direction decomposition and crosswind strength calculation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096266A (en) * | 2016-06-08 | 2016-11-09 | 南京信息工程大学 | A kind of automatic weather station method of quality control |
| CN106227998A (en) * | 2016-07-15 | 2016-12-14 | 华北电力大学 | A kind of based on the Method of Wind Resource Assessment optimizing time window |
| CN108053140A (en) * | 2017-12-28 | 2018-05-18 | 华润电力技术研究院有限公司 | A kind of Method of Wind Resource Assessment, system and a kind of computer readable storage medium |
| CN210222818U (en) * | 2019-06-10 | 2020-03-31 | 南京信息工程大学 | Quality control combined wind resource assessment system |
-
2019
- 2019-06-10 CN CN201910495442.0A patent/CN110197442A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096266A (en) * | 2016-06-08 | 2016-11-09 | 南京信息工程大学 | A kind of automatic weather station method of quality control |
| CN106227998A (en) * | 2016-07-15 | 2016-12-14 | 华北电力大学 | A kind of based on the Method of Wind Resource Assessment optimizing time window |
| CN108053140A (en) * | 2017-12-28 | 2018-05-18 | 华润电力技术研究院有限公司 | A kind of Method of Wind Resource Assessment, system and a kind of computer readable storage medium |
| CN210222818U (en) * | 2019-06-10 | 2020-03-31 | 南京信息工程大学 | Quality control combined wind resource assessment system |
Non-Patent Citations (1)
| Title |
|---|
| 李春 等: "《现代陆海风力机计算与仿真》", vol. 978, 上海科学技术出版社, pages: 70 - 74 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110726850A (en) * | 2019-10-08 | 2020-01-24 | 南京信息工程大学 | Railway crosswind early warning system based on wind direction decomposition and crosswind strength calculation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kuik et al. | Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3. 7.1: sensitivity to resolution of model grid and input data | |
| CN106950614A (en) | A kind of region automatic weather station hour rainfall data method of quality control | |
| Nguyen-Xuan et al. | The Vietnam gridded precipitation (VnGP) dataset: construction and validation | |
| Droste et al. | Assessing the potential and application of crowdsourced urban wind data | |
| CN106373070B (en) | A kind of four pre- methods for coping with urban rainstorm waterlogging | |
| CN106321368A (en) | Offshore wind power plant wake flow loss measuring method based on running draught fan SCADA data | |
| CN102254239A (en) | Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect | |
| Potgieter et al. | Combining high-resolution land use data with crowdsourced air temperature to investigate intra-urban microclimate | |
| CN110334404A (en) | A kind of rapid dry accurate recognition methods of drought of Watershed Scale | |
| CN113436045A (en) | Atmospheric pollution multi-scale fusion traceability method and device and readable storage medium | |
| CN116205541B (en) | Method and device for evaluating influence of local pollution source on environmental air quality | |
| Otache et al. | ARMA modelling of Benue River flow dynamics: comparative study of PAR model | |
| CN113282576A (en) | Meteorological data quality control method | |
| Guttikunda et al. | Sulfur deposition in Asia: seasonal behavior and contributions from various energy sectors | |
| CN113176420B (en) | Wind speed forecast correction system for power grid pole tower point | |
| CN110197442A (en) | A kind of wind-resources assessment system of combination Quality Control | |
| CN111709644B (en) | Wind power plant wind resource calculation method utilizing unit SCADA data | |
| CN109948175B (en) | Satellite remote sensing albedo missing value inversion method based on meteorological data | |
| CN210222818U (en) | Quality control combined wind resource assessment system | |
| CN114184179B (en) | Outdoor geographical survey and drawing management and control system based on internet | |
| CN103617452A (en) | Photometry network layout method in large-scale photovoltaic base area | |
| Levin et al. | A dedicated flask sampling strategy developed for ICOS stations based on CO2 and CO measurements and STILT footprint modelling | |
| Tsung et al. | Estimating the global solar radiation in Putrajaya using the Angstrom-Prescott model | |
| CN110133756A (en) | A kind of weather station precipitation amount correction method | |
| Međimorec et al. | Evaluating accuracy and uncertainty of wind speed estimation by using multiple wind measurements on a site |
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 |