CN112667032A - Near-surface ozone prediction model based on multi-source data fusion - Google Patents
Near-surface ozone prediction model based on multi-source data fusion Download PDFInfo
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- CN112667032A CN112667032A CN202110051558.2A CN202110051558A CN112667032A CN 112667032 A CN112667032 A CN 112667032A CN 202110051558 A CN202110051558 A CN 202110051558A CN 112667032 A CN112667032 A CN 112667032A
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- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 title claims abstract description 70
- 230000004927 fusion Effects 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims description 26
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- 230000007613 environmental effect Effects 0.000 abstract description 3
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 230000001590 oxidative effect Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
- 239000007800 oxidant agent Substances 0.000 description 3
- 238000007254 oxidation reaction Methods 0.000 description 3
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- NLKNQRATVPKPDG-UHFFFAOYSA-M potassium iodide Chemical compound [K+].[I-] NLKNQRATVPKPDG-UHFFFAOYSA-M 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 239000007844 bleaching agent Substances 0.000 description 2
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- 230000003647 oxidation Effects 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- ZCYVEMRRCGMTRW-UHFFFAOYSA-N 7553-56-2 Chemical compound [I] ZCYVEMRRCGMTRW-UHFFFAOYSA-N 0.000 description 1
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 1
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- 238000011835 investigation Methods 0.000 description 1
- 229910052740 iodine Inorganic materials 0.000 description 1
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- PIJPYDMVFNTHIP-UHFFFAOYSA-L lead sulfate Chemical compound [PbH4+2].[O-]S([O-])(=O)=O PIJPYDMVFNTHIP-UHFFFAOYSA-L 0.000 description 1
- 229940056932 lead sulfide Drugs 0.000 description 1
- 229910052981 lead sulfide Inorganic materials 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
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- 238000003908 quality control method Methods 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention discloses a near-ground ozone prediction model based on multi-source data fusion, relates to the technical field of environmental protection, and particularly relates to a near-ground ozone prediction model based on multi-source data fusion. This nearly ground ozone prediction model based on multisource data fusion, through first motor, the rotating ring, the rotating groove, the bottom plate, the cooperation of mounting panel and third motor and second threaded rod is used, the rotating groove that utilizes the bottom plate surface to set up cup joints the rotating ring, drive the surface rotation of mounting panel at the bottom plate through first motor, make the rotating ring rotate at the inner chamber that rotates the groove, and then can the display direction of automatically regulated model prediction screen, it rotates to drive the second threaded rod through the third motor simultaneously, and then make first slider remove, prop up the model prediction screen through overhead bracing piece, be convenient for simultaneously adjust the inclination of model prediction screen, the convenience of use of this nearly ground ozone prediction model based on multisource data fusion has been improved.
Description
Technical Field
The invention relates to the technical field of environmental protection, in particular to a near-ground ozone prediction model based on multi-source data fusion.
Background
Ozone is an allotrope of oxygen, and has the chemical formula O3, formula weight 47.998, and a fishy smell, a light blue gas. Ozone has strong oxidizing property, is a stronger oxidant than oxygen, and can perform oxidation reaction at a lower temperature, such as oxidizing silver into silver peroxide, oxidizing lead sulfide into lead sulfate, and reacting with potassium iodide to generate iodine. Turpentine, coal gas and the like can spontaneously combust in ozone. Ozone is a powerful bleaching agent in the presence of water. Ozonides are also readily formed at low temperatures with unsaturated organic compounds. Used as strong oxidant, bleaching agent, fur deodorizer, air purifier, disinfectant, and drinking water. Ozone can be used to replace many catalytic oxidations or high-temperature oxidations in chemical production, simplifying the production process and increasing the productivity. Liquid ozone can also be used as an oxidizer for rocket fuels. The concentration of the ozone near the earth surface is 0.001-0.03 ppm in the atmosphere, the ozone is generated after oxygen in the atmosphere absorbs ultraviolet rays with the wavelength of less than 185nm of the sun, the ozone layer can absorb short-wave (below 30 nm) rays harmful to human bodies in sunlight, the short-wave rays are prevented from being emitted to the ground, organisms are prevented from being damaged by the ultraviolet rays, ozone is predicted through a multi-source data fusion technology, and the multi-source data fusion technology refers to a technology for integrating all information obtained through investigation and analysis by using related means, carrying out unified evaluation on the information and finally obtaining unified information. The purpose that this technique was developed is to synthesize various different data information, absorb the characteristics of different data sources then extract unified from it, better than single data, abundanter information, then input the ozone prediction model data that design in intelligent display screen, put in the data of the appearance of ozone layer model contrast at intelligent display screen, can play the effect of research, teaching to the trend of ozone through these data, but current near-ground ozone prediction model is when using, equipment receives the damage easily, there is not limited safeguard measure, it is very inconvenient when carrying, and can only show the researcher of a direction, therefore we have proposed a near-ground ozone prediction model based on multisource data fusion.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a near-ground ozone prediction model based on multi-source data fusion, and solves the problems in the background technology.
In order to achieve the purpose, the invention is realized by the following technical scheme: a near-ground ozone prediction model based on multi-source data fusion comprises a storage box, wherein side storage grooves are formed in two sides of an inner cavity of the storage box, a first threaded rod is connected to the inner cavity of each side storage groove in a rotating mode, a second turbine is fixedly connected to the surface of one end of the first threaded rod, a bottom plate is movably sleeved on the inner cavity of the storage box in a sleeved mode, supporting blocks are fixedly connected to two sides of the lower surface of the bottom plate, one end of each supporting block is connected to the surface of the first threaded rod in a threaded mode, a rotating groove is formed in the upper surface of the bottom plate, a rotating ring is connected to the inner cavity of each rotating groove in a rotating mode, a mounting plate is fixedly installed on the upper surface of each rotating ring, a fixing frame is fixedly connected to one side of the upper surface of the mounting plate, a rotating rod is fixedly connected to the inner cavity of the fixing, the middle part fixed connection of the one end of first motor output shaft and mounting panel lower surface, the second sliding tray has all been seted up to the both sides of containing box inner chamber bottom, the second joint groove that is located second sliding tray inner chamber bottom is seted up to the inside of containing box, the inside rotation of containing box is connected with first worm, the equal fixedly connected with lead screw in both ends of first worm, the lead screw runs through the inner chamber in second joint groove and extends to the inner chamber of side-mounted storage groove, two the one end difference fixedly connected with second worm of lead screw, the second worm meshes with the second turbine mutually.
Optionally, a first sliding groove is formed in the other side of the upper surface of the mounting plate, a first clamping groove is formed in the inside of the mounting plate and the bottom of the inner cavity of the first sliding groove, a second threaded rod is connected to the inside of the mounting plate in a rotating mode, one end of the second threaded rod extends to the inner cavity of the first clamping groove, a first slider is sleeved on the inner cavity of the first sliding groove in a movable mode, the bottom of the first slider is clamped to the inner cavity of the first clamping groove and sleeved with the surface of the second threaded rod in a threaded mode, an upper supporting rod is connected to the surface of the first slider in a rotating mode, one end of the upper supporting rod is connected with the bottom of the model prediction screen in a rotating mode, a second motor is fixedly mounted inside the containing box, a first turbine is fixedly connected with one end of an output shaft of the second motor, and the first turbine is meshed.
Optionally, the screw threads of the two screw rods are opposite, and the driving directions of the two second worms are consistent.
Optionally, the inner cavity of the second sliding groove is slidably connected with a second sliding block, the bottom of the second sliding block is clamped to the inner cavity of the second clamping groove, and the second sliding block is in threaded connection with the surface of the screw rod.
Optionally, the top of the second slider is rotatably connected with a lower support rod, and one end of the lower support rod is rotatably connected with the bottom of the bottom plate.
Optionally, a containing groove corresponding to the position of the first motor is formed in the center of the bottom of the inner cavity of the containing box, two sides of the containing box are hinged with double-opening box doors, and a handle is arranged on one side of the containing box.
Optionally, the upper surface of the double-opening box door is fixedly connected with a sponge supporting plate, and the lower surface of the double-opening box door is fixedly connected with a pulling ring.
Optionally, one side of mounting panel is provided with the third motor, the one end of third motor output shaft and the one end fixed connection of second threaded rod, the last fixed surface of mounting panel is connected with control switch, and control switch and third motor, first motor, second motor electric connection.
Optionally, the prediction method of the near-surface ozone prediction model based on multi-source data fusion,
s1: firstly, ozone concentration data in the atmosphere are collected by means of different air quality monitoring stations, and ozone concentration data of each air quality monitoring station at different time are obtained.
S2: and classifying and sorting the collected ozone concentration data, inputting a designed ozone prediction program on a model prediction screen, and inputting the sorted ozone concentration data on the model prediction screen.
S3: and then according to the data and the prediction model corresponding to the current moment of the air quality monitoring station to be tested, obtaining a target result corresponding to the current moment of the air quality monitoring station to be tested, a target result corresponding to the current moment of the air quality monitoring station to be tested and the ozone concentration corresponding to the current moment of the air quality monitoring station to be tested, obtaining the ozone concentration of the current prediction moment of the air quality monitoring station to be tested, simultaneously displaying the prediction data on a model prediction screen, and teaching, watching and researching the data.
The invention provides a near-ground ozone prediction model based on multi-source data fusion, which has the following beneficial effects:
1. this nearly ground ozone prediction model based on multisource data fusion, through first motor, the rotating ring, the rotating groove, the bottom plate, the cooperation of mounting panel and third motor and second threaded rod is used, the rotating groove that utilizes the bottom plate surface to set up cup joints the rotating ring, drive the surface rotation of mounting panel at the bottom plate through first motor, make the rotating ring rotate at the inner chamber that rotates the groove, and then can the display direction of automatically regulated model prediction screen, it rotates to drive the second threaded rod through the third motor simultaneously, and then make first slider remove, prop up the model prediction screen through overhead bracing piece, be convenient for simultaneously adjust the inclination of model prediction screen, the convenience of use of this nearly ground ozone prediction model based on multisource data fusion has been improved.
2. This nearly ground ozone prediction model based on multisource data fusion, through the second worm, the second turbine, first threaded rod, the supporting shoe, the lead screw, the cooperation of first worm and first turbine is used, drive first turbine through the second motor and rotate, and then make first worm rotate, make the lead screw rotate, because the screw thread opposite direction of two lead screws, and then make two second sliders all remove to the middle part of containing box, jack-up the bottom plate through the underlying bracing piece, the lead screw drives the second worm simultaneously and rotates, because the line direction on two second worms is the same, make the second turbine rotate to same direction, make first threaded rod rotate, make the supporting shoe position rise, and then make the bottom plate remove the inner chamber of containing box, the degree of automation of this nearly ground ozone prediction model based on multisource data fusion has been improved.
3. This nearly ground ozone prediction model based on multisource data fusion uses through containing box, the cooperation of two chamber doors, accomodates the model prediction screen through the containing box, utilizes two chamber doors to seal the containing box, is convenient for remove and carry the model prediction screen, can play the guard action to the model prediction screen simultaneously, reduces the damage probability of model prediction screen in to ozone prediction work, has prolonged the life of model prediction screen.
Drawings
FIG. 1 is a schematic cross-sectional view of the present invention;
FIG. 2 is a schematic structural diagram of the front side of the present invention;
FIG. 3 is an enlarged view of the structure at A in FIG. 1 according to the present invention;
FIG. 4 is an enlarged view of the structure at B in FIG. 1 according to the present invention;
FIG. 5 is an enlarged view of the structure at C of FIG. 1 according to the present invention;
fig. 6 is an enlarged view of the structure shown at D in fig. 1 according to the present invention.
In the figure: 1. a storage box; 2. a first threaded rod; 3. a receiving groove is arranged on the side; 4. double doors are opened; 5. a sponge support plate; 6. a support block; 7. a first sliding groove; 8. a second threaded rod; 9. a first clamping groove; 10. a base plate; 11. a rotating ring; 12. mounting a plate; 13. a second clamping groove; 14. a second slider; 15. a second motor; 16. a support rod is arranged below; 17. a second sliding groove; 18. a screw rod; 19. a model prediction screen; 20. rotating the rod; 21. a support rod is arranged on the bracket; 22. pulling the ring; 23. a first slider; 24. a first motor; 25. a receiving slot; 26. a first turbine; 27. a first worm; 28. a fixed mount; 29. a control switch; 30. a third motor; 31. a second turbine; 32. a second worm; 33. the groove is rotated.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1 to 6, the present invention provides a technical solution: a near-ground ozone prediction model based on multi-source data fusion comprises a containing box 1, wherein two sides of an inner cavity of the containing box 1 are respectively provided with a side containing groove 3, the inner cavity of the side containing groove 3 is rotatably connected with a first threaded rod 2, the surface of one end of the first threaded rod 2 is fixedly connected with a second turbine 31, the inner cavity of the containing box 1 is movably sleeved with a bottom plate 10, two sides of the lower surface of the bottom plate 10 are respectively and fixedly connected with a supporting block 6, one end of the supporting block 6 is in threaded sleeve connection with the surface of the first threaded rod 2, the upper surface of the bottom plate 10 is provided with a rotating groove 33, the inner cavity of the rotating groove 33 is rotatably connected with a rotating ring 11, the upper surface of the rotating ring 11 is fixedly provided with a mounting plate 12, one side of the upper surface of the mounting plate 12 is fixedly connected with a fixing frame 28, the inner cavity of the fixing frame 28 is fixedly connected with, one end of the output shaft of the first motor 24 is fixedly connected with the middle part of the lower surface of the mounting plate 12, the rotating ring 11 is sleeved by utilizing a rotating groove 33 arranged on the surface of the bottom plate 10, the mounting plate 12 is driven by the first motor 24 to rotate on the surface of the bottom plate 10, so that the rotating ring 11 rotates in the inner cavity of the rotating groove 33, furthermore, the display direction of the model prediction screen 19 can be automatically adjusted, the second sliding grooves 17 are formed in two sides of the bottom of the inner cavity of the containing box 1, the second clamping grooves 13 located at the bottom of the inner cavity of the second sliding grooves 17 are formed in the containing box 1, the containing box 1 is rotatably connected with the first worm 27, the two ends of the first worm 27 are fixedly connected with the lead screws 18, the lead screws 18 penetrate through the inner cavity of the second clamping grooves 13 and extend to the inner cavity of the laterally-arranged containing grooves 3, one ends of the two lead screws 18 are fixedly connected with the second worm 32 respectively, and the second worm 32 is meshed with the second worm wheel 31.
Wherein, first sliding tray 7 has been seted up to the opposite side of mounting panel 12 upper surface, first joint groove 9 has been seted up to the inside of mounting panel 12 and the bottom that is located first sliding tray 7 inner chamber, the inside of mounting panel 12 rotates and is connected with second threaded rod 8, the one end of second threaded rod 8 extends to the inner chamber of first joint groove 9, first slider 23 has been cup jointed in the inner chamber activity of first sliding tray 7, the bottom joint of first slider 23 connects to the inner chamber of first joint groove 9 and the screw thread is cup jointed to the surface of second threaded rod 8, the surface rotation of first slider 23 is connected with overhead bracing piece 21, the one end of overhead bracing piece 21 rotates with the bottom of model prediction screen 19 to be connected, the inside fixed mounting of containing box 1 has second motor 15, the one end fixedly connected with first turbine 26 of second motor 15 output shaft, first turbine 26 meshes with first worm 27 mutually.
Wherein, the screw thread of two lead screws 18 is opposite, the driving direction of two second worms 32 is unanimous, drive first turbine 26 through second motor 15 and rotate, and then make first worm 27 rotate, make lead screw 18 rotate, because the screw thread direction of two lead screws 18 is opposite, and then make two second sliders 14 all move to the middle part of containing box 1, jack-up bottom plate 10 through underlying bracing piece 16, lead screw 18 drives second worm 32 simultaneously and rotates, because the line direction on two second worms 32 is the same, make second turbine 31 rotate to same direction, make first threaded rod 2 rotate, make supporting shoe 6 position rise, and then make bottom plate 10 remove the inner chamber of containing box 1, the degree of automation of this nearly ground ozone prediction model based on multisource data fusion has been improved.
The inner cavity of the second sliding groove 17 is slidably connected with a second sliding block 14, the bottom of the second sliding block 14 is clamped to the inner cavity of the second clamping groove 13, and the second sliding block 14 is in threaded sleeve connection with the surface of the screw rod 18.
Wherein, the top of the second sliding block 14 is rotatably connected with a lower support rod 16, and one end of the lower support rod 16 is rotatably connected with the bottom of the bottom plate 10.
Wherein, the corresponding receipts in position groove 25 with first motor 24 is seted up at the center of containing box 1 inner chamber bottom, the both sides of containing box 1 all articulate there is two chamber doors 4, one side of containing box 1 is provided with the handle, accomodate model prediction screen 19 through containing box 1, utilize two chamber doors 4 to seal containing box 1, be convenient for remove and carry model prediction screen 19, can play the guard action to model prediction screen 19 simultaneously, reduce the damage probability of model prediction screen 19 in the work of predicting ozone, model prediction screen 19's life has been prolonged.
Wherein, the upper surface of the double-open box door 4 is fixedly connected with a sponge supporting plate 5, and the lower surface of the double-open box door 4 is fixedly connected with a pulling ring 22.
Wherein, one side of mounting panel 12 is provided with third motor 30, the one end of third motor 30 output shaft and the one end fixed connection of second threaded rod 8, the last fixed surface of mounting panel 12 is connected with control switch 29, and control switch 29 and third motor 30, first motor 24, 15 electric connection of second motor, it rotates to drive second threaded rod 8 through third motor 30, and then make first slider 23 remove, prop up model prediction screen 19 through overhead bracing piece 21, be convenient for adjust model prediction screen 19's inclination simultaneously, the convenience of use of this nearly ground ozone prediction model based on multisource data fusion has been improved.
Wherein, the prediction method of the near-surface ozone prediction model based on multi-source data fusion,
s1: firstly, ozone concentration data in the atmosphere are collected by means of different air quality monitoring stations, and ozone concentration data of each air quality monitoring station at different time are obtained. The air quality monitoring station is also called an air station, and the air station has the function of sampling, measuring and analyzing pollutants in the atmosphere and air at fixed points, continuously or at fixed time. In order to monitor air, a plurality of air stations are generally set up in an environmental key city, a multi-parameter automatic monitoring instrument is installed in each station for continuous automatic monitoring, and monitoring results are stored in real time and analyzed to obtain related data. The air quality monitoring station is a basic platform for air quality control and reasonable evaluation of air quality, is an infrastructure for urban air environment protection, and can obtain relevant data of ozone concentration at every moment from the air quality monitoring station.
S2: the collected ozone concentration data are classified and sorted, a designed ozone prediction program is input on the model prediction screen 19, and the sorted ozone concentration data are input on the model prediction screen 19.
S3: and then according to the data and the prediction model corresponding to the current moment of the air quality monitoring station to be tested, obtaining a target result corresponding to the current moment of the air quality monitoring station to be tested, a target result corresponding to the current moment of the air quality monitoring station to be tested and the ozone concentration corresponding to the current moment of the air quality monitoring station to be tested, obtaining the ozone concentration of the current prediction moment of the air quality monitoring station to be tested, simultaneously displaying the prediction data on a model prediction screen 19, and teaching, watching and researching the data.
In summary, when the near-ground ozone prediction model based on multi-source data fusion is used, firstly, the double-opening box door 4 is opened, then the control switch 29 controls the second motor 15 to be started, the first worm wheel 26 and the first worm 27 are matched to enable the first worm 27 to rotate, further the screw rods 18 rotate, because the thread directions of the two screw rods 18 are opposite, further the two second sliding blocks 14 are enabled to move towards the middle part of the containing box 1, the bottom plate 10 is jacked up through the lower support rod 16, meanwhile, the screw rods 18 drive the second worm 32 to rotate, because the grain directions on the two second worm rods 32 are the same, the second worm wheel 31 rotates towards the same direction, the first threaded rod 2 rotates, the position of the support block 6 is enabled to rise, further the bottom plate 10 moves out of the inner cavity of the containing box 1, then the third motor 30 is started, the upper support rod 21 moves to support the model prediction screen 19, and through data contrastive analysis, ozone prediction model data formed by multi-source data fusion is displayed on the model prediction screen 19, and then the first motor 24 is started to adjust the display angle of the model prediction screen 19.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The utility model provides a near-surface ozone prediction model based on multisource data fusion, includes containing box (1), its characterized in that: the side containing groove (3) is formed in each of two sides of an inner cavity of the containing box (1), the inner cavity of the side containing groove (3) is rotatably connected with a first threaded rod (2), a second turbine (31) is fixedly connected to the surface of one end of the first threaded rod (2), a bottom plate (10) is movably sleeved in the inner cavity of the containing box (1), supporting blocks (6) are fixedly connected to two sides of the lower surface of the bottom plate (10), one end of each supporting block (6) is in threaded connection with the surface of the corresponding first threaded rod (2), a rotating groove (33) is formed in the upper surface of the bottom plate (10), a rotating ring (11) is rotatably connected to the inner cavity of the rotating groove (33), a mounting plate (12) is fixedly mounted on the upper surface of the rotating ring (11), a fixing frame (28) is fixedly connected to one side of the upper surface of the mounting plate (12), and a rotating rod (20) is fixedly, the surface activity of dwang (20) has cup jointed model prediction screen (19), the bottom fixed mounting of bottom plate (10) has first motor (24), the middle part fixed connection of the one end of first motor (24) output shaft and mounting panel (12) lower surface, second sliding tray (17) have all been seted up to the both sides of containing box (1) inner chamber bottom, the inside of containing box (1) is seted up and is located second sliding tray (17) inner chamber bottom second joint groove (13), the inside rotation of containing box (1) is connected with first worm (27), the equal fixedly connected with lead screw (18) in both ends of first worm (27), lead screw (18) run through the inner chamber of second joint groove (13) and extend to the inner chamber of side holding groove (3), two the one end difference fixedly connected with second worm (32) of lead screw (18), the second worm (32) is meshed with the second worm wheel (31).
2. The near-surface ozone prediction model based on multi-source data fusion of claim 1, characterized in that: a first sliding groove (7) is formed in the other side of the upper surface of the mounting plate (12), a first clamping groove (9) is formed in the mounting plate (12) and located at the bottom of the inner cavity of the first sliding groove (7), a second threaded rod (8) is rotatably connected to the inside of the mounting plate (12), one end of the second threaded rod (8) extends to the inner cavity of the first clamping groove (9), a first sliding block (23) is movably sleeved on the inner cavity of the first sliding groove (7), the bottom of the first sliding block (23) is clamped to the inner cavity of the first clamping groove (9) and is in threaded connection with the surface of the second threaded rod (8), an upper supporting rod (21) is rotatably connected to the surface of the first sliding block (23), one end of the upper supporting rod (21) is rotatably connected with the bottom of the model prediction screen (19), and a second motor (15) is fixedly mounted inside the containing box (1), one end of an output shaft of the second motor (15) is fixedly connected with a first worm wheel (26), and the first worm wheel (26) is meshed with a first worm (27).
3. The near-surface ozone prediction model based on multi-source data fusion of claim 1, characterized in that: the threads of the two screw rods (18) are opposite, and the driving directions of the two second worms (32) are consistent.
4. The near-surface ozone prediction model based on multi-source data fusion of claim 1, characterized in that: the inner cavity of the second sliding groove (17) is connected with a second sliding block (14) in a sliding mode, the bottom of the second sliding block (14) is clamped to the inner cavity of the second clamping groove (13), and the second sliding block (14) is in threaded sleeve connection with the surface of the screw rod (18).
5. The near-surface ozone prediction model based on multi-source data fusion of claim 4, wherein: the top of the second sliding block (14) is rotatably connected with a lower supporting rod (16), and one end of the lower supporting rod (16) is rotatably connected with the bottom of the bottom plate (10).
6. The near-surface ozone prediction model based on multi-source data fusion of claim 1, characterized in that: the storage box is characterized in that a storage groove (25) corresponding to the position of a first motor (24) is formed in the center of the bottom of an inner cavity of the storage box (1), two sides of the storage box (1) are hinged to a double-opening box door (4), and a handle is arranged on one side of the storage box (1).
7. The near-surface ozone prediction model based on multi-source data fusion of claim 6, wherein: the upper surface of the double-opening box door (4) is fixedly connected with a sponge supporting plate (5), and the lower surface of the double-opening box door (4) is fixedly connected with a pulling ring (22).
8. The near-surface ozone prediction model based on multi-source data fusion of claim 1, characterized in that: one side of mounting panel (12) is provided with third motor (30), the one end of third motor (30) output shaft and the one end fixed connection of second threaded rod (8), the last fixed surface of mounting panel (12) is connected with control switch (29), and control switch (29) and third motor (30), first motor (24), second motor (15) electric connection.
9. The near-ground ozone prediction model prediction method based on multi-source data fusion is characterized by comprising the following steps of:
s1: firstly, ozone concentration data in the atmosphere are collected by means of different air quality monitoring stations, and ozone concentration data of each air quality monitoring station at different time are obtained.
S2: the collected ozone concentration data are classified and sorted, a designed ozone prediction program is input on a model prediction screen (19), and the sorted ozone concentration data are input on the model prediction screen (19).
S3: and then according to the data and the prediction model corresponding to the current moment of the air quality monitoring station to be tested, a target result corresponding to the current moment of the air quality monitoring station to be tested and the ozone concentration corresponding to the current moment of the air quality monitoring station to be tested are obtained, the ozone concentration of the current prediction moment of the air quality monitoring station to be tested is obtained, meanwhile, the prediction data are displayed on a model prediction screen (19), and the data are taught, watched and researched.
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| CN202110051558.2A CN112667032B (en) | 2021-01-13 | 2021-01-13 | Near-ground ozone prediction model based on multi-source data fusion |
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| CN202110051558.2A CN112667032B (en) | 2021-01-13 | 2021-01-13 | Near-ground ozone prediction model based on multi-source data fusion |
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| CN112667032A true CN112667032A (en) | 2021-04-16 |
| CN112667032B CN112667032B (en) | 2024-04-05 |
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| CN114061016A (en) * | 2021-11-01 | 2022-02-18 | 江苏帝源智能设备有限公司 | Air sterilizer with large screen advertisement |
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