CN111178031A - Method for automatically generating anemometer tower data report - Google Patents
Method for automatically generating anemometer tower data report Download PDFInfo
- Publication number
- CN111178031A CN111178031A CN201911307383.6A CN201911307383A CN111178031A CN 111178031 A CN111178031 A CN 111178031A CN 201911307383 A CN201911307383 A CN 201911307383A CN 111178031 A CN111178031 A CN 111178031A
- Authority
- CN
- China
- Prior art keywords
- data
- wind
- statistical
- report
- tower
- 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
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000004140 cleaning Methods 0.000 claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000005259 measurement Methods 0.000 claims description 12
- 230000003252 repetitive effect Effects 0.000 abstract description 3
- 239000004816 latex Substances 0.000 description 6
- 229920000126 latex Polymers 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
Images
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
- G06Q10/10—Office automation; Time 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)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Game Theory and Decision Science (AREA)
- Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)
Abstract
The invention relates to a method for automatically generating a anemometer tower data report, which mainly comprises the following steps: acquiring original data of the anemometer tower; carrying out data cleaning and data interpolation on the anemometer tower data; carrying out statistical calculation on the data after data cleaning and data interpolation to obtain a statistical result reflecting the wind resource condition; and calling a standard template of the anemometer tower report, importing the statistical result into the standard template, and automatically generating the anemometer tower report. The method provided by the invention can replace the traditional method for manually compiling the anemometer tower data report, the statistical information can be automatically calculated and the preset standard template is called to generate the anemometer tower data report after the anemometer data and the basic information are obtained, the data does not need to be manually cleaned and interpolated, and the data statistical result does not need to be manually input, so that the repetitive labor is reduced, the accuracy is improved, and the working efficiency of anemometer tower report compiling personnel is improved.
Description
Technical Field
The invention relates to a method for automatically generating a anemometer tower data report.
Background
The wind power plant data are evaluated by using field wind measurement data, the measured original data are continuous time sequence data in a wind measurement time period, and certain processing is carried out on the continuous time sequence data to extract representative information which is used as a reference basis for evaluating the wind resource condition of the position of the wind measurement tower.
The processing of the anemometer tower data comprises data cleaning and interpolation of the anemometer tower original data, and extraction of key information in the data, such as annual change conditions, monthly change conditions, day change conditions and the like of wind speed and wind direction.
The anemometer tower data report is mainly used for displaying the analysis result of the anemometer tower data to the related staff of the wind farm development, and not only comprises the direct statistical result of the data, such as the mean value, but also comprises the interpretation of the statistical result.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: at present, most anemometer tower data reports rely on a mode of manually analyzing anemometer data and compiling analysis results into data reports, a large amount of repetitive work is needed, accuracy cannot be guaranteed, and work efficiency is low.
In order to solve the technical problem, the technical scheme of the invention is to provide a method for automatically generating a anemometer tower data report, which is characterized by comprising the following steps:
step 1, acquiring original data and basic information of a wind measuring tower, wherein the original data is data obtained through measurement of the wind measuring tower; the basic information is the basic condition information of the anemometry time interval of the anemometry tower;
step 2, performing data cleaning and data interpolation on the original data, removing error data caused by instrument faults or meteorological disasters in the original data through the data cleaning, and replacing missing or improper data with data obtained by measuring other instruments in the same time period or data obtained by conjecturing in other time periods by the same instrument through the data interpolation to make up for the missing corresponding data;
step 3, carrying out statistical calculation on the data after data cleaning and data interpolation to obtain a statistical result reflecting the wind resource condition, calculating to obtain statistical data reflecting the wind resource condition according to relevant national standards and domestic standards by using a statistical calculation method, and generating a corresponding statistical chart and a statistical table;
and 4, calling a standard template of the anemometer tower report, importing the statistical chart and the statistical table obtained in the step 3 into the standard template, and automatically generating the anemometer tower report.
Preferably, in step 1, the raw data includes wind speed, wind direction, temperature, and air pressure data at the position of the anemometer tower measured by the anemometer tower every 10 minutes; the basic information is the longitude and latitude and the altitude of the anemometry time interval of the anemometry tower.
Preferably, in step 3, the statistical data for reflecting the wind resource condition includes an annual average wind speed, a monthly average wind speed, an hourly average wind speed in a day, a turbulence intensity level, a wind direction and a wind power density direction distribution.
Preferably, in step 4, the standard template is created according to preset requirements.
Preferably, in step 4, before step 4 and after step 3, if the standard template is not established, the method further comprises: the format of the standard template of the wind measuring tower report is determined according to preset requirements, and then the standard template of the wind measuring tower report is written by using plain text source codes.
The method provided by the invention can replace the traditional method for manually compiling the anemometer tower data report, the statistical information can be automatically calculated and the preset standard template is called to generate the anemometer tower data report after the anemometer data and the basic information are obtained, the data does not need to be manually cleaned and interpolated, and the data statistical result does not need to be manually input, so that the repetitive labor is reduced, the accuracy is improved, and the working efficiency of anemometer tower report compiling personnel is improved.
Drawings
FIG. 1 is a flow diagram of an embodiment of a method of automatically generating a anemometer tower report of the present invention;
FIG. 2 is a schematic diagram of the generation of a standard template.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The method for automatically generating the anemometer tower data report mainly comprises the following steps: acquiring original data of the anemometer tower; carrying out data cleaning and data interpolation on the anemometer tower data; carrying out statistical calculation on the data after data cleaning and data interpolation to obtain a statistical result reflecting the wind resource condition; and calling a standard template of the anemometer tower report, importing the statistical result into the standard template, and automatically generating the anemometer tower report. With reference to fig. 1, the present invention provides a method specifically comprising the steps of:
step 1, acquiring original data and basic information of the anemometer tower. Raw data refers to wind speed, wind direction, temperature, air pressure, etc. at the anemometer tower location measured by the anemometer tower, and is typically recorded 10 minutes after measurement. The basic information refers to basic condition information of the anemometer tower such as anemometer time interval, longitude and latitude, altitude and the like.
And 2, carrying out data cleaning and data interpolation on the original data. The data cleaning is to screen the original data according to certain data requirements and remove error data caused by instrument faults or meteorological disasters. The data interpolation refers to a data processing method for predicting wind measuring data obtained by other wind measuring instruments in the same time period or wind measuring data in other time periods of the same wind measuring instrument by using a certain algorithm aiming at the lack of the measured or unreasonable data caused by instrument faults and the like so as to make up for the lack of the wind measuring data. For example, the missing wind speed data may be interpolated using wind speed data from other layers using a wind shear fit relationship.
And 3, carrying out statistical calculation on the data after data cleaning and data interpolation to obtain a statistical result reflecting the wind resource condition. The statistical calculation method usually obtains statistical data for reflecting the annual average wind speed, monthly average wind speed, hourly average wind speed in the day, turbulence intensity level, wind direction and wind power density direction distribution and the like of the wind resource condition according to related national standards and domestic standards such as () and generates a corresponding statistical chart and a statistical table.
And 4, calling a standard template of the anemometer tower report, importing the statistical result into the standard template, and automatically generating the anemometer tower report. The statistical result comprises the statistical data, the statistical chart and the statistical table generated in the step 3. And the standard template is created according to preset requirements, and after a statistical result is obtained, the statistical data, the statistical graph and the statistical table are imported into the standard template, so that the anemometer tower report can be automatically generated.
Referring to fig. 2, if a standard template is not established, the following steps are also included before step 4 and after step 3.
Step a, determining the format of a standard template reported by the anemometer tower according to preset requirements.
And b, compiling a standard template of the anemometer tower report by using the latex source code. In addition to using the latex source code, other plain text source codes may be used to write standard templates, such as Markdown, etc.
The method for automatically generating the anemometer tower report is described as a specific application example.
(1) And acquiring the original data and the basic information of the anemometer tower. Firstly, acquiring longitude and latitude coordinates, wind measuring height, wind measuring time period information and wind measuring data of the wind measuring tower within 10 minutes. Storing the wind measuring data every 10 minutes as a text file, wherein each line in the file represents one wind measuring data record; and (4) recording the basic information of the anemometer tower into a json format file as an input file of the step 4.
(2) And (3) running a script, firstly reading in a wind measurement record stored in the text file, then cleaning the wind measurement data according to a preset requirement, counting the integrity rate and the qualification rate of the data, interpolating the missing and unreasonable data by using other effective data, outputting the cleaned and interpolated wind measurement data as a new text file serving as an input file of the step (3), and simultaneously writing the statistical result of the integrity rate and the qualification rate into a json file serving as an input file of the step (4).
(3) And (3) running a script, reading in the wind measurement data stored in the text file output in the step (2), calculating the annual average wind speed, monthly average wind speed, annual wind direction distribution, monthly wind direction distribution, turbulence intensity level and other statistical results representing the wind resource condition of the wind measurement tower of the wind measurement data, automatically drawing a corresponding statistical graph according to the statistical results, outputting the statistical graph as a graphic file, summarizing a statistical table, and outputting the graphic file as the text file.
(4) And (3) running a script, reading the statistical form text file output in the step (3) and the json file generated in the step (1) and the step (2), calling a standard template, generating a latex code file for describing the regional wind resource condition according to the result in the statistical form, and inserting a file path of the statistical graph file into the latex code file. And compiling the above-mentioned latex code file by using latex to obtain a PDF anemometer tower data report.
Claims (5)
1. A method of automatically generating a anemometer tower data report, comprising the steps of:
step 1, acquiring original data and basic information of a wind measuring tower, wherein the original data is data obtained through measurement of the wind measuring tower; the basic information is the basic condition information of the anemometry time interval of the anemometry tower;
step 2, performing data cleaning and data interpolation on the original data, removing error data caused by instrument faults or meteorological disasters in the original data through the data cleaning, and replacing missing or improper data with data obtained by measuring other instruments in the same time period or data obtained by conjecturing in other time periods by the same instrument through the data interpolation to make up for the missing corresponding data;
step 3, carrying out statistical calculation on the data after data cleaning and data interpolation to obtain a statistical result reflecting the wind resource condition, calculating to obtain statistical data reflecting the wind resource condition according to relevant national standards and domestic standards by using a statistical calculation method, and generating a corresponding statistical chart and a statistical table;
and 4, calling a standard template of the anemometer tower report, importing the statistical chart and the statistical table obtained in the step 3 into the standard template, and automatically generating the anemometer tower report.
2. The method of claim 1, wherein in step 1, the raw data comprises wind speed, wind direction, temperature, and pressure data measured by the wind tower every 10 minutes at the wind tower location; the basic information is the longitude and latitude and the altitude of the anemometry time interval of the anemometry tower.
3. The method of claim 1, wherein the statistical data for reflecting wind resource conditions in step 3 comprises annual average wind speed, monthly average wind speed, hourly average wind speed in the day, turbulence intensity level, wind direction and wind power density direction distribution.
4. The method of claim 1, wherein in step 4, the standard template is created according to preset requirements.
5. The method of claim 1, wherein in step 4, if a standard template is not established, before step 4, and after step 3, the method further comprises: the format of the standard template of the wind measuring tower report is determined according to preset requirements, and then the standard template of the wind measuring tower report is written by using plain text source codes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911307383.6A CN111178031A (en) | 2019-12-18 | 2019-12-18 | Method for automatically generating anemometer tower data report |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911307383.6A CN111178031A (en) | 2019-12-18 | 2019-12-18 | Method for automatically generating anemometer tower data report |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111178031A true CN111178031A (en) | 2020-05-19 |
Family
ID=70657350
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911307383.6A Pending CN111178031A (en) | 2019-12-18 | 2019-12-18 | Method for automatically generating anemometer tower data report |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111178031A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111859306A (en) * | 2020-08-10 | 2020-10-30 | 中国华能集团清洁能源技术研究院有限公司 | Wind measurement data missing detection method and system |
| CN116501728A (en) * | 2023-06-30 | 2023-07-28 | 国家海洋技术中心 | Method and system for generating real-time business data file of automatic hydrological observation system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110427357A (en) * | 2018-04-28 | 2019-11-08 | 新疆金风科技股份有限公司 | Anemometer tower data processing method and device |
| CN110471911A (en) * | 2019-07-16 | 2019-11-19 | 中国大唐集团新能源科学技术研究院有限公司 | A kind of pair of anemometer tower surveys the cleaning method of wind data |
| CN110580263A (en) * | 2018-05-21 | 2019-12-17 | 北京金风科创风电设备有限公司 | Method and system for generating wind resource data report |
-
2019
- 2019-12-18 CN CN201911307383.6A patent/CN111178031A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110427357A (en) * | 2018-04-28 | 2019-11-08 | 新疆金风科技股份有限公司 | Anemometer tower data processing method and device |
| CN110580263A (en) * | 2018-05-21 | 2019-12-17 | 北京金风科创风电设备有限公司 | Method and system for generating wind resource data report |
| CN110471911A (en) * | 2019-07-16 | 2019-11-19 | 中国大唐集团新能源科学技术研究院有限公司 | A kind of pair of anemometer tower surveys the cleaning method of wind data |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111859306A (en) * | 2020-08-10 | 2020-10-30 | 中国华能集团清洁能源技术研究院有限公司 | Wind measurement data missing detection method and system |
| CN116501728A (en) * | 2023-06-30 | 2023-07-28 | 国家海洋技术中心 | Method and system for generating real-time business data file of automatic hydrological observation system |
| CN116501728B (en) * | 2023-06-30 | 2023-09-08 | 国家海洋技术中心 | Method and system for generating real-time business data file of automatic hydrological observation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Faulkner et al. | Can we still predict the future from the past? Implementing non‐stationary flood frequency analysis in the UK | |
| d’Andrea et al. | Northern Hemisphere atmospheric blocking as simulated by 15 atmospheric general circulation models in the period 1979–1988 | |
| Frost et al. | A comparison of multi-site daily rainfall downscaling techniques under Australian conditions | |
| Wilby et al. | Using SDSM version 3.1—A decision support tool for the assessment of regional climate change impacts | |
| US7865835B2 (en) | System and method for hydrological analysis | |
| CN109933637B (en) | Flood risk dynamic display and analysis system | |
| KR101092380B1 (en) | Estimating method using ensemble average based on the regional climate model performance | |
| KR101587018B1 (en) | Data quality measurement method based on a scatter plot | |
| CN111178031A (en) | Method for automatically generating anemometer tower data report | |
| Woodworth et al. | Variations in the difference between mean sea level measured either side of Cape Hatteras and their relation to the North Atlantic Oscillation | |
| CN110580263B (en) | Method and system for generating wind resource data report | |
| Pichuka et al. | Spatio-temporal downscaling of projected precipitation in the 21st century: indication of a wetter monsoon over the Upper Mahanadi Basin, India | |
| Reed et al. | Metrics as tools for bridging climate science and applications | |
| Andrée et al. | Simulating major storm surge events in a complex coastal region | |
| Kropf et al. | Uncertainty and sensitivity analysis for probabilistic weather and climate-risk modelling: an implementation in CLIMADA v. 3.1. 0 | |
| Pitman et al. | Global and regional comparison of daily 2-m and 1000-hPa maximum and minimum temperatures in three global reanalyses | |
| Estoque et al. | A geospatial approach for detecting and characterizing non-stationarity of land-change patterns and its potential effect on modeling accuracy | |
| Smakhtin | Estimating daily flow duration curves from monthly streamflow data | |
| CN107610738A (en) | A kind of efficient out of memory analysis method | |
| Mahmudah | Autoregressive integrated moving average model to predict graduate unemployment in Indonesia | |
| Killick et al. | Use of generalized additive modelling techniques to create synthetic daily temperature networks for benchmarking homogenization algorithms | |
| KR20150057847A (en) | An collect apparatus and method for marine environment data | |
| Davenport | Extreme Precipitation and Flooding in a Changing Climate: New Quantitative Approaches and Process Understanding | |
| CN109754582A (en) | A kind of wireless meter reading method of gas meter, flow meter | |
| de Smeth et al. | Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 200233 No. 7, Lane 888, Tianlin Road, Minhang District, Shanghai Applicant after: Shanghai Energy Technology Development Co.,Ltd. Address before: 201100 No. 7, Lane 888, Tianlin Road, Xuhui District, Shanghai Applicant before: CPI ELECTRIC POWER ENGINEERING CO.,LTD. |
|
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200519 |