CN108405186A - Electrostatic precipitation turbulent flow based on Internet of things node adjusts system - Google Patents
Electrostatic precipitation turbulent flow based on Internet of things node adjusts system Download PDFInfo
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- CN108405186A CN108405186A CN201810169809.5A CN201810169809A CN108405186A CN 108405186 A CN108405186 A CN 108405186A CN 201810169809 A CN201810169809 A CN 201810169809A CN 108405186 A CN108405186 A CN 108405186A
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- flue
- wall
- stepper motor
- upper wall
- wind speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03C—MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03C3/00—Separating dispersed particles from gases or vapour, e.g. air, by electrostatic effect
- B03C3/34—Constructional details or accessories or operation thereof
- B03C3/36—Controlling flow of gases or vapour
- B03C3/361—Controlling flow of gases or vapour by static mechanical means, e.g. deflector
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Abstract
Electrostatic precipitation turbulent flow based on Internet of things node adjusts system, belongs to electrostatic precipitation field.It increases mainly solving the technical problems that reducing the charged caused turbulence factor of pulse, reduces its influence trapped to microparticle.It is by flue lower wall, the charged negative plate of pulse, flue, the charged positive plate of pulse, flue upper wall, second wind speed sensing node, skew wall on flue, first wind speed sensing node, first rotating shaft, adjust cabin upper wall, first adjusting-flow board, go out skew wall on flue, go out flue upper wall, high direct voltage positive plate, flue outlet, go out flue lower wall, high direct voltage negative plate, go out flue lower sloped walls, second adjusting-flow board, third adjusting-flow board, adjust cabin lower wall, 4th adjusting-flow board, second shaft, third shaft, 4th shaft, 4th wind speed sensing node, third wind speed sensing node, flue lower sloped walls, CC2530 modules, first stepper motor drive module forms.It is mainly used for electrostatic precipitation field.
Description
Technical field
The invention belongs to electrostatic precipitation field, the electrostatic precipitation turbulent flow adjustment system based on Internet of things node is referred in particular to.
Background technology
PM2.5 is also known as aerosol, serious to affect people's health.It is a more difficult times to administer aerosol
Business.Because common cloth bag and high-pressure electrostatic precipitation method effect are very high for the larger particulate efficiency of grain size, but for micro-
Granule dedusting effect is bad.Studies have shown that corona discharge pulse is to the charged efficient of microparticle, but collection efficiency is low,
The reason is that impulse electric field improves the turbulence factor of air-flow, it is unfavorable for Charge particle trapping.DC electric field charge capacity not as good as
Impulse electric field under same voltage value, but under similarity condition, the trapping ability of DC high voltage electric field is but better than high-voltage pulse
Electric field.This is because the region of discharge of DC high voltage electric field is the trapping that stable electric field is conducive to microparticle.It is whole in order to improve
Efficiency of dust collection, first carries out microparticle using efficient impulse electric field charged, then carries out turbulent regulation and control to dust stream, most
The trapping of microparticle, the dust removing effects that can have been obtained are carried out using high voltage direct current afterwards.For this purpose, the present invention is proposed based on Internet of Things
The electrostatic precipitation turbulent flow of net node adjusts system.
Invention content
Increase to reduce the charged caused turbulence factor of pulse, reduces its influence trapped to microparticle, the present invention carries
The electrostatic precipitation turbulent flow adjustment system based on Internet of things node is gone out.
The technical solution adopted by the present invention to solve the technical problems is：Apparatus of the present invention are by flue lower wall, pulse lotus
Electric negative plate, flue, the charged positive plate of pulse, flue upper wall, the second wind speed sensing node, skew wall, first on flue
Wind speed sensing node, adjustment cabin upper wall, the first adjusting-flow board, goes out skew wall on flue, goes out flue upper wall, high direct voltage first rotating shaft
Positive plate, flue outlet, go out flue lower wall, high direct voltage negative plate, go out flue lower sloped walls, the second adjusting-flow board, third adjusting-flow board,
Cabin lower wall, the 4th adjusting-flow board, the second shaft, third shaft, the 4th shaft, the 4th wind speed sensing node, third wind speed is adjusted to pass
Feel node, flue lower sloped walls, CC2530 modules, the first stepper motor drive module, the first stepper motor, the second stepper motor
Drive module, the second stepper motor, third stepper motor drive module, third stepper motor, the 4th stepper motor drive module,
4th stepper motor forms, it is characterized in that：Flue lower wall is connected with the charged negative plate of pulse, and the charged positive plate of pulse is the same as into cigarette
Road upper wall is connected, and skew wall is connected with flue upper wall on flue, and skew wall is connected with adjustment cabin upper wall on flue, goes out on flue
Skew wall is connected with adjustment cabin upper wall, goes out on flue skew wall and is connected with flue upper wall is gone out, and high direct voltage positive plate is the same as going out flue upper wall
It is connected, the first wind speed sensing node is connected by first rotating shaft with the first adjusting-flow board, and the second wind speed sensing node passes through second turn
Axis is connected with the second adjusting-flow board, and third wind speed sensing node is connected by third shaft with third adjusting-flow board, the 4th wind speed sensing
Node is connected by the 4th shaft with the 4th adjusting-flow board, and high direct voltage negative plate is connected with flue lower wall is gone out, and goes out flue lower sloped walls
It is connected with flue lower wall is gone out, goes out flue lower sloped walls and be connected with adjustment cabin lower wall, flue lower sloped walls are connected with adjustment cabin lower wall, into
Flue lower sloped walls are connected with flue lower wall, and the first stepper motor is by the first stepper motor drive module with CC2530 module phases
Even, the second stepper motor is connected by the second stepper motor drive module with CC2530 modules, and third stepper motor passes through third
Stepper motor drive module is connected with CC2530 modules, and the 4th stepper motor passes through the 4th same CC2530 of stepper motor drive module
Module is connected；It adjusts cabin upper wall and is more than flue lower wall with two times of spacing of flue upper wall with the spacing of adjustment cabin lower wall；
The spacing that adjustment cabin upper wall adjusts together cabin lower wall is more than two times that flue upper wall goes out together the spacing of flue lower wall；First adjusting-flow board
Length be less than adjustment cabin upper wall length；First rotating shaft is smaller than adjustment cabin upper wall with adjustment cabin lower wall with the 4th shaft
Spacing.
CC2530 is Internet of Things conventional chip.It is the real system on chip applied for the ZigBee of 2.4GHz
Solution.It can establish powerful network node with low-down total material cost.The chip combines leading RF
The excellent performance of transceiver, the enhanced 8051CPU of industrywide standard, In-System Programmable flash memory.CC2530 has different fortune
Row pattern so that the system that it especially adapts to super low-power consumption requirement.Conversion time between operational mode is short to be further ensured
Low energy expenditure.
The operation principle of electrostatic precipitation turbulent flow adjustment system based on Internet of things node is as follows：Since high-voltage pulse is charged
When, flue dust air-flow multilated takes two measures to reduce turbulence factor.First, by adjustment cabin upper wall with adjustment cabin lower wall
Spacing be more than flue lower wall with two times of spacing of flue upper wall, such flue becomes broad, is easy in adjustment bay section
Stream is adjusted, principle is as The turbulent river crashes its way through in narrow river surface, and in wide river surface water flow stationary；Second measure is the first wind speed
The wind speed such as sensing node sensing node can measure the flue dust flow velocity of dust layer where sensor node, and be sent to aggregation node,
The flow speed data that aggregation node will compare these sensor nodes and beam back, instruction is sent out than going out minimum value, and to CC2530 modules,
Corresponding stepper motor will be driven to rotate more than the corresponding stepper motor drive module of the node of minimum value, corresponding adjusting-flow board will
Rotation, to the flue dust stream reduction of speed of place layer, until air speed value that each wind speed sensing node measures is identical.Thus complete
Turbulent adjustment work.
The beneficial effects of the invention are as follows reducing since the charged caused turbulence factor of pulse increases, reduces it and microparticle is caught
The influence of collection.It is mainly used for electrostatic precipitation field.
Description of the drawings
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the side sectional structural map of the electrostatic precipitation turbulent flow adjustment system based on Internet of things node.
Fig. 2 is the circuit diagram of the present invention.
1. flue lower wall in figure, the charged negative plate of 2. pulses, 3. flues, the charged positive plate of 4. pulses, 5. flues
Upper wall, 6. second wind speed sensing nodes, skew wall on 7. flues, 8. first wind speed sensing nodes, 9. first rotating shafts, 10. adjustment
Cabin upper wall, 11. first adjusting-flow boards, 12. go out skew wall on flue, and 13. go out flue upper wall, 14. high direct voltage positive plates, 15. flues
Outlet, 16. go out flue lower wall, and 17. high direct voltage negative plates, 18. go out flue lower sloped walls, 19. second adjusting-flow boards, 20. third tune
Flowing plate, 21. adjustment cabin lower walls, 22. the 4th adjusting-flow boards, 23. second shafts, 24. third shafts, 25. the 4th shafts, 26. the 4th
Wind speed sensing node, 27. third wind speed sensing nodes, 28. flue lower sloped walls, 29.CC2530 modules, 30. first steppings electricity
Machine drive module, 31. first stepper motors, 32. second stepper motor drive modules, 33. second stepper motors, 34. thirds step
Stepper motor drive module, 35. third stepper motors, 36. the 4th stepper motor drive modules, 37. the 4th stepper motors.
Specific implementation mode
In Fig. 1, flue lower wall 1 is connected with the charged negative plate 2 of pulse, and the charged positive plate of pulse 4 is the same as flue upper wall 5
It is connected, skew wall 7 is connected with flue upper wall 5 on flue, and skew wall 7 is connected with adjustment cabin upper wall 10 on flue, goes out on flue
Skew wall 12 is connected with adjustment cabin upper wall 10, goes out skew wall 12 on flue and is connected with flue upper wall 13 is gone out, high direct voltage positive plate 14 is same
Go out flue upper wall 13 to be connected, the first wind speed sensing node 8 is connected by first rotating shaft 9 with the first adjusting-flow board 11, and the second wind speed passes
Feel node 6 by the second shaft 23 to be connected with the second adjusting-flow board 19, third wind speed sensing node 27 is by third shaft 24 with the
Three adjusting-flow boards 20 are connected, and the 4th wind speed sensing node 26 is connected by the 4th shaft 25 with the 4th adjusting-flow board 22, and high direct voltage is negative
Pole plate 17 is connected with flue lower wall 16 is gone out, and goes out flue lower sloped walls 18 and is connected with flue lower wall 16 is gone out, goes out 18 people having the same aspiration and interest of flue lower sloped walls
Whole cabin lower wall 21 is connected, and flue lower sloped walls 28 are connected with adjustment cabin lower wall 21, and flue lower sloped walls 28 are the same as 1 phase of flue lower wall
Even.
In fig. 2, the first stepper motor 31 is connected by the first stepper motor drive module 30 with CC2530 modules 29, the
Two stepping motor 33 is connected by the second stepper motor drive module 32 with CC2530 modules 29, and third stepper motor 35 passes through the
Three stepper motor drive modules 34 are connected with CC2530 modules 29, and the 4th stepper motor 37 passes through the 4th stepper motor drive module
36 are connected with CC2530 modules 29.
Claims (5)
1. electrostatic precipitation turbulent flow based on Internet of things node adjusts system, by flue lower wall, the charged negative plate of pulse, into cigarette
Road, the charged positive plate of pulse, flue upper wall, the second wind speed sensing node, skew wall on flue, the first wind speed sensing node,
First rotating shaft, goes out skew wall on flue, goes out flue upper wall, high direct voltage positive plate, flue and go out adjustment cabin upper wall, the first adjusting-flow board
Mouthful, go out flue lower wall, high direct voltage negative plate, go out flue lower sloped walls, the second adjusting-flow board, third adjusting-flow board, adjustment cabin lower wall, the
Four adjusting-flow boards, the second shaft, third shaft, the 4th shaft, the 4th wind speed sensing node, third wind speed sensing node, flue
Lower sloped walls, CC2530 modules, the first stepper motor drive module, the first stepper motor, the second stepper motor drive module, second
Stepper motor, third stepper motor drive module, third stepper motor, the 4th stepper motor drive module, the 4th stepper motor
Composition, it is characterized in that：Flue lower wall is connected with the charged negative plate of pulse, and the charged positive plate of pulse is connected with flue upper wall,
Skew wall is connected with flue upper wall on flue, and skew wall is connected with adjustment cabin upper wall on flue, goes out the same adjustment of skew wall on flue
Cabin upper wall is connected, and goes out skew wall on flue and is connected with flue upper wall is gone out, high direct voltage positive plate is connected with flue upper wall is gone out, the first wind
Fast sensing node is connected by first rotating shaft with the first adjusting-flow board, and the second wind speed sensing node, which is adjusted by the second shaft with second, to flow
Plate is connected, and third wind speed sensing node is connected by third shaft with third adjusting-flow board, and the 4th wind speed sensing node passes through the 4th
Shaft with the 4th adjusting-flow board be connected, high direct voltage negative plate with go out flue lower wall be connected, go out flue lower sloped walls with go out flue lower wall
It is connected, goes out flue lower sloped walls and be connected with adjustment cabin lower wall, flue lower sloped walls are connected with adjustment cabin lower wall, and flue lower sloped walls are same
Flue lower wall is connected, and the first stepper motor is connected by the first stepper motor drive module with CC2530 modules, the second stepping
Motor is same by the second stepper motor drive module
CC2530 modules are connected, and third stepper motor is connected by third stepper motor drive module with CC2530 modules, and the 4th
Stepper motor is connected by the 4th stepper motor drive module with CC2530 modules.
2. the electrostatic precipitation turbulent flow according to claim 1 based on Internet of things node adjusts system, it is characterized in that：Adjust cabin
Upper wall is more than flue lower wall with two times of spacing of flue upper wall with the spacing of adjustment cabin lower wall.
3. the electrostatic precipitation turbulent flow according to claim 1 based on Internet of things node adjusts system, it is characterized in that：Adjust cabin
The spacing that upper wall adjusts together cabin lower wall is more than two times that flue upper wall goes out together the spacing of flue lower wall.
4. the electrostatic precipitation turbulent flow according to claim 1 based on Internet of things node adjusts system, it is characterized in that：First adjusts
The length of flowing plate is less than the length of adjustment cabin upper wall.
5. the electrostatic precipitation turbulent flow according to claim 1 based on Internet of things node adjusts system, it is characterized in that：First turn
Axis is smaller than spacing of the adjustment cabin upper wall with adjustment cabin lower wall with the 4th shaft.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810169809.5A CN108405186A (en) | 2018-03-01 | 2018-03-01 | Electrostatic precipitation turbulent flow based on Internet of things node adjusts system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810169809.5A CN108405186A (en) | 2018-03-01 | 2018-03-01 | Electrostatic precipitation turbulent flow based on Internet of things node adjusts system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108405186A true CN108405186A (en) | 2018-08-17 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810169809.5A Pending CN108405186A (en) | 2018-03-01 | 2018-03-01 | Electrostatic precipitation turbulent flow based on Internet of things node adjusts system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110743708A (en) * | 2019-10-21 | 2020-02-04 | 东北师范大学 | Corona hypertrophy data acquisition system based on sensing nodes |
Citations (4)
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|---|---|---|---|---|
| CN1915474A (en) * | 2005-11-15 | 2007-02-21 | 江苏宇达电站辅机阀门制造有限公司 | Method for adjusting airflow distribution of electricity and fabric combined dust catcher, and equipment |
| CN101045220A (en) * | 2007-01-28 | 2007-10-03 | 大连海事大学 | Electrical charging coagulation method for dust in flue gas transfering pipeline |
| CN102069034A (en) * | 2009-11-24 | 2011-05-25 | 福建龙净环保股份有限公司 | Method for simulating airflow distribution of electric dust collector |
| CN107470025A (en) * | 2017-10-09 | 2017-12-15 | 东北师范大学 | Flue cooling water transfer system before Electrostatic Treatment based on Internet of Things |
-
2018
- 2018-03-01 CN CN201810169809.5A patent/CN108405186A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1915474A (en) * | 2005-11-15 | 2007-02-21 | 江苏宇达电站辅机阀门制造有限公司 | Method for adjusting airflow distribution of electricity and fabric combined dust catcher, and equipment |
| CN101045220A (en) * | 2007-01-28 | 2007-10-03 | 大连海事大学 | Electrical charging coagulation method for dust in flue gas transfering pipeline |
| CN102069034A (en) * | 2009-11-24 | 2011-05-25 | 福建龙净环保股份有限公司 | Method for simulating airflow distribution of electric dust collector |
| CN107470025A (en) * | 2017-10-09 | 2017-12-15 | 东北师范大学 | Flue cooling water transfer system before Electrostatic Treatment based on Internet of Things |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110743708A (en) * | 2019-10-21 | 2020-02-04 | 东北师范大学 | Corona hypertrophy data acquisition system based on sensing nodes |
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Application publication date: 20180817 |