CN202075303U - Micro differential pressure type high precision wind measurement apparatus - Google Patents
Micro differential pressure type high precision wind measurement apparatus Download PDFInfo
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- CN202075303U CN202075303U CN2011201709407U CN201120170940U CN202075303U CN 202075303 U CN202075303 U CN 202075303U CN 2011201709407 U CN2011201709407 U CN 2011201709407U CN 201120170940 U CN201120170940 U CN 201120170940U CN 202075303 U CN202075303 U CN 202075303U
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Abstract
The utility model discloses a micro differential pressure type high precision wind measurement apparatus. The wind measurement apparatus provided in the utility model includes Pitot tubes, micro differential pressure sensors, a data acquisition processing unit and a fixed support. In the utility model, four mutually perpendicular Pitot tubes arranged in the horizontal direction are used as wind measurement probes; four matched micro differential pressure sensors detect outputs of the Pitot tubes; and the data acquisition processing unit is used to transmit the outputs of the sensor to differential pressure values. In the utility model, no movable part is used, which prevents the problems of machinery wearing, etc. when a rotating part is used for measuring wind speed and wind direction. The micro differential pressure type high precision wind measurement apparatus is characterized in that the immediate performance is good, the precision is high, the service is long, the reliability is good, and influence of the environment is little.
Description
Technical field
The utility model relates to a kind of elementary errors pressure type high precision wind measuring device, belongs to the meteorological observation technical field.
Background technology
Wind speed, wind direction be measured as weather forecast accurately and early warning provides data, for the generaI investigation and the utilization of wind energy provides foundation.At present, vane/weathervane commonly used or ultrasonic wind speed meter carry out the measurement of wind in the weather station.Wherein, during vane/wind direction mapping wind, vane is by the revolution calculation of wind speed of vane in a period of time, and it is big to start wind speed, and sluggish big, fitful wind almost can't accurately be measured, and freezing sleety weather is bigger to its influence, and there is the problem of wind direction hysteresis equally in weathervane; The ultrasound wave anemometer has the price height, is subjected to temperature, precipitation snowfall to influence shortcomings such as bigger.
Summary of the invention
Technical problem to be solved in the utility model is the defective at above background technology, designing a kind of is the elementary errors pressure type high precision wind measuring device of probe with the pitot tube, and adopt the method for BP neural network interpolation processing to obtain the wind speed and direction value, help improving the measuring accuracy of wind speed and improve serviceable life because of eliminating mechanical component.
The utility model adopts following technical scheme for solving the problems of the technologies described above:
A kind of elementary errors pressure type high precision wind measuring device comprises four pitot tubes, four little differential pressure sensors, data acquisition process unit and fixed supports; Wherein the measuring sonde of four pitot tubes is positioned on the fixed support towards the mutual vertical-horizontal of four direction respectively, described four little differential pressure sensors are connected with the upper port of four pitot tubes respectively, and the output differential pressure of four pitot tubes is converted to input data acquisition process unit behind the electric signal.
Further, the pitot tube of elementary errors pressure type high precision wind measuring device of the present utility model is the L type, and the one end is a measuring sonde, and the other end is connected with little differential pressure sensor vertically upward.
The utility model adopts technique scheme to have following beneficial effect:
Measurement mechanism of the present utility model uses the structure of pitot tube and high-precision little differential pressure sensor to carry out the measurement of wind speed, wind direction, has good, the characteristics such as precision is high, good reliability of real-time, is particularly suitable for the measurement of strong wind.The mechanical wear that has been produced when having avoided rotary type to measure wind direction makes mission life be prolonged; Ultrasonic type is subjected to sleet, weather conditions such as freezing to influence problems such as bigger when surveying wind.
Description of drawings
Fig. 1 is the structural drawing of elementary errors pressure type high precision wind measuring device of the present utility model.
Number in the figure: 1-pitot tube; The 2-little differential pressure sensor; 3-data acquisition process unit; The 4-fixed support.
Specific embodiments
Be elaborated below in conjunction with the technical scheme of accompanying drawing to utility model:
As shown in Figure 1, on the horizontal direction four mutual vertically arranged pitot tubes 1 as the measuring sonde of wind speed and direction, output wind total head and static pressure.
At four supporting installation high precision little differential pressure sensors 2 of pitot tube tops difference, total head that pitot tube produces and static pressure are as the differential pressure input of little differential pressure sensor.
The output signal of the 3 pairs of little differential pressure sensors in data acquisition process unit is amplified, is handled, and is converted to digital signal, by demarcating the actual differential pressure value of output.
Wind speed, the direction measuring apparatus be made up of pitot tube, high precision little differential pressure sensor, data acquisition process unit are fixedly mounted on the fixed support 4, utilize fixed support that this measurement mechanism is installed in and are fit to height.
Under standard wind speed, wind direction, obtain the test data of four little differential pressure sensors, utilize the input of the output of four little differential pressure sensors after choosing sample as the BP network, corresponding standard wind speed, wind direction are exported as the target of network, the node number of the input layer of BP network, hidden layer and output layer was according to 4: 5: 2 proportion structures, hidden layer adopts tanh s type as transport function, the neuronic transport function of output layer is purelin, the training function that adopts is trainscg, specification error E=0.0001, the study step-length is 0.05, and network is trained.
After finishing, the BP network training obtains one four tunnel BP network egress value-based algorithm model of importing two tunnel outputs.
During data processing, the force value that each little differential pressure sensor is measured is as the input of this model, and model output is exactly corresponding air speed and wind direction.
The BP network algorithm that is directly called preservation by PC carries out interpolation processing to the data of gathering, and also can write corresponding program according to the mathematic(al) representation of BP network and be realized by microprocessor.
Mathematic(al) representation is shown below:
Wherein, four tunnel pressure sensor readings are respectively α, β, γ, η, output wind direction θ after the BP network interpolation processing and wind speed v; Implicit unit is respectively to the weights of input block α, β, γ, η
,
,
,
, threshold value is
, wherein subscript is represented α, β, γ, η and individual neuronic connection of the i in the hidden layer; Output unit wind direction θ and wind speed v are respectively to the weights and the threshold value of hidden layer unit
,
,
,
, subscript is represented θ, v and individual neuronic connection of the i in the hidden layer; Tanh is a tanh s type transport function.
Each weights after the BP network training is finished
,
,
,
,
,
With each threshold value
,
,
Be constant, transport function tanh can call built-in function and realize, therefore, above-mentioned formula is carried out algorithm design and programming, detected four differential pressure pick-up signal alpha, β, γ, η then can obtain the output of model, i.e. wind speed v and wind direction θ as the input of model.
The above only is examples of implementation of the present utility model; not in order to restriction the utility model; all any modifications of within spirit of the present utility model and principle, being done, be equal to and replace and improvement etc., all should be included within the protection domain of the present utility model.
Claims (2)
1. an elementary errors pressure type high precision wind measuring device is characterized in that: comprise four pitot tubes, four little differential pressure sensors, data acquisition process unit and fixed supports; Wherein the measuring sonde of four pitot tubes is positioned on the fixed support towards the mutual vertical-horizontal of four direction respectively, described four little differential pressure sensors are connected with the upper port of four pitot tubes respectively, and the output differential pressure of four pitot tubes is converted to input data acquisition process unit behind the electric signal.
2. elementary errors pressure type high precision wind measuring device according to claim 1, it is characterized in that: described pitot tube is the L type, and the one end is a measuring sonde, and the other end is connected with little differential pressure sensor vertically upward.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201709407U CN202075303U (en) | 2011-05-26 | 2011-05-26 | Micro differential pressure type high precision wind measurement apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201709407U CN202075303U (en) | 2011-05-26 | 2011-05-26 | Micro differential pressure type high precision wind measurement apparatus |
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| Publication Number | Publication Date |
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| CN202075303U true CN202075303U (en) | 2011-12-14 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011201709407U Expired - Fee Related CN202075303U (en) | 2011-05-26 | 2011-05-26 | Micro differential pressure type high precision wind measurement apparatus |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298072A (en) * | 2011-05-26 | 2011-12-28 | 南京信息工程大学 | High precision wind measuring device with micro-differential pressure type and method thereof |
| US10317422B2 (en) | 2015-02-25 | 2019-06-11 | Technological University Of Dublin | Multi-directional fluid velocity measurement device (FVMD) |
| CN113125799A (en) * | 2021-04-19 | 2021-07-16 | 重庆地格科技有限责任公司 | Intelligent anemorumbometer based on pitot tube |
-
2011
- 2011-05-26 CN CN2011201709407U patent/CN202075303U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298072A (en) * | 2011-05-26 | 2011-12-28 | 南京信息工程大学 | High precision wind measuring device with micro-differential pressure type and method thereof |
| CN102298072B (en) * | 2011-05-26 | 2013-05-08 | 南京信息工程大学 | High precision wind measuring device with micro-differential pressure type and method thereof |
| US10317422B2 (en) | 2015-02-25 | 2019-06-11 | Technological University Of Dublin | Multi-directional fluid velocity measurement device (FVMD) |
| CN113125799A (en) * | 2021-04-19 | 2021-07-16 | 重庆地格科技有限责任公司 | Intelligent anemorumbometer based on pitot tube |
| CN113125799B (en) * | 2021-04-19 | 2024-01-26 | 重庆地格科技有限责任公司 | Intelligent anemograph based on pitot tube |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111214 Termination date: 20130526 |