CN112667032B - Near-ground ozone prediction model based on multi-source data fusion - Google Patents
Near-ground ozone prediction model based on multi-source data fusion Download PDFInfo
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- CN112667032B CN112667032B CN202110051558.2A CN202110051558A CN112667032B CN 112667032 B CN112667032 B CN 112667032B CN 202110051558 A CN202110051558 A CN 202110051558A CN 112667032 B CN112667032 B CN 112667032B
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- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 title claims abstract description 65
- 230000004927 fusion Effects 0.000 title claims abstract description 32
- 238000003860 storage Methods 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims description 21
- 230000000694 effects Effects 0.000 claims description 5
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- 238000004146 energy storage Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 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
- 230000001590 oxidative effect Effects 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- 229910052760 oxygen Inorganic materials 0.000 description 3
- NLKNQRATVPKPDG-UHFFFAOYSA-M potassium iodide Chemical compound [K+].[I-] NLKNQRATVPKPDG-UHFFFAOYSA-M 0.000 description 3
- 239000007844 bleaching agent Substances 0.000 description 2
- 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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- 238000004458 analytical method Methods 0.000 description 1
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- 239000002781 deodorant agent Substances 0.000 description 1
- 239000000645 desinfectant Substances 0.000 description 1
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- 229910052740 iodine Inorganic materials 0.000 description 1
- 239000011630 iodine Substances 0.000 description 1
- 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
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- 229910052709 silver Inorganic materials 0.000 description 1
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- 229910000108 silver(I,III) oxide Inorganic materials 0.000 description 1
- 239000003206 sterilizing agent Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 229940036248 turpentine Drugs 0.000 description 1
- 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, which comprises a storage box. This near ground ozone predictive model based on multisource data fusion uses through the cooperation of first motor, the swivel becket, the bottom plate, mounting panel and third motor and second threaded rod, the swivel becket that utilizes the bottom plate surface to set up cup joints the swivel becket, it rotates at the surface of bottom plate to drive the mounting panel through first motor, make the swivel becket rotate at the inner chamber of swivel becket, and then can automatically regulated model predictive screen's display orientation, drive the second threaded rod through the third motor simultaneously and rotate, and then make first slider remove, prop up the model predictive screen through overhead bracing piece, be convenient for simultaneously adjust the inclination of model predictive screen, the use convenience of this near ground ozone predictive 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 a chemical formula of O3, a formula weight of 47.998, and a light blue gas with fishy smell. Ozone is a stronger oxidizing agent 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, etc. can spontaneously combust in ozone. Ozone is a powerful bleaching agent in the presence of water. Ozonides are also readily formed with unsaturated organic compounds at low temperatures. It can be used as strong oxidant, bleaching agent, fur deodorant, air purifying agent, disinfectant, and sterilizing agent for drinking water. Ozone can be used to replace many catalytic oxidation or high-temperature oxidation in chemical production, simplifying the production process and improving the productivity. Liquid ozone can also be used as an oxidizer for rocket fuels. The ozone layer is generated by absorbing ultraviolet rays with the wavelength of less than 185nm by oxygen in the atmosphere, wherein the ultraviolet rays with the wavelength of less than 185nm are absorbed by the ozone layer, and can absorb short wave (less than 30 nm) rays harmful to human bodies in sunlight, prevent the short wave rays from radiating to the ground, prevent organisms from being damaged by the ultraviolet rays, predict ozone by a multi-source data fusion technology, wherein the multi-source data fusion technology is a technology for comprehensively integrating all information obtained by investigation and analysis by utilizing relevant means, uniformly evaluating the information and finally obtaining uniform information. The technology is developed for integrating various different data information, absorbing the characteristics of different data sources, extracting unified information better and richer than single data from the data, and playing a role in research and teaching when an ozone layer model is put in a display screen, but when the existing near-ground ozone prediction model is used, equipment is easy to damage, no limited protective measures exist, the carrying is very inconvenient, and only researchers in one direction can show the model, so that the near-ground ozone prediction model based on multi-source data fusion is provided.
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, which solves the problems in the prior art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a nearly ground ozone prediction model based on multisource data fusion, includes the containing box, the side storage tank has all been seted up to the both sides of containing box inner chamber, the inner chamber of side storage tank rotates and is connected with first threaded rod, the fixed surface of first threaded rod one end has the second turbine, the inner chamber activity of containing box has cup jointed the bottom plate, the equal fixedly connected with supporting shoe in both sides of bottom plate lower surface, the one end screw thread of supporting shoe cup joints to the surface of first threaded rod, the rotation groove has been seted up to the upper surface of bottom plate, the inner chamber rotation of rotation groove is connected with the swivel ring, the last fixed surface of swivel ring installs the mounting panel, one side fixedly connected with mount of mounting panel upper surface, the inner chamber fixedly connected with dwang of mount, the surface activity of dwang has cup jointed the model prediction screen, the bottom fixed mounting of bottom plate has first motor, the middle part fixedly connected with of first motor output shaft and mounting panel lower surface, the second sliding groove has all been seted up to the both sides of containing box inner chamber bottom, the inside of containing box is seted up and is located the second sliding groove's surface, the second sliding connection groove has the worm to the first worm of second worm, the worm of first end fixedly connected with the worm of first end of screw, the worm of two side of screw fixedly connected with two screw rod, the first end of screw of first end is connected with the worm of first worm.
Optionally, first sliding tray has been seted up to the opposite side of mounting panel upper surface, first joint groove has been seted up to the inside of mounting panel and the bottom that is located first sliding tray inner chamber, the inside rotation of mounting panel is connected with the second threaded rod, the one end of second threaded rod extends to the inner chamber of first joint groove, first slider has been cup jointed in the inner chamber activity of first sliding tray, the bottom joint of first slider is to the inner chamber of first joint groove and the surface of screw thread cup joint to the second threaded rod, the surface rotation of first slider is connected with overhead bracing piece, the one end and the bottom rotation of model predictive screen of overhead bracing piece are connected, the inside fixed mounting of containing box has the second motor, the one end fixedly connected with first turbine of second motor output shaft, first turbine meshes with first worm mutually.
Optionally, the threads of the two screw rods are opposite, and the driving directions of the two second worms are identical.
Optionally, the inner chamber sliding connection of second sliding tray has the second slider, the bottom joint of second slider is to the inner chamber of second joint groove, the second slider screw thread cup joints to the surface of lead screw.
Optionally, the top of second slider rotates and is connected with the underlying support pole, underlying support pole's one end rotates with the bottom of bottom plate and is connected.
Optionally, the center of containing box inner chamber bottom has seted up the receipts groove corresponding with first motor position, the both sides of containing box all articulate and have two open chamber doors, one side of containing box is provided with the handle.
Optionally, the upper surface fixedly connected with sponge backup pad of two division of chamber doors, the lower surface fixedly connected with pulling ring of two division of chamber doors.
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 surface fixedly connected with control switch of mounting panel, and control switch and third motor, first motor, second motor electric connection.
Optionally, the prediction method of the near-ground 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 in 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 corresponding to the current time of the air quality monitoring station to be detected and the prediction model, obtaining a target result corresponding to the current time of the air quality monitoring station to be detected, and the target result corresponding to the current time of the air quality monitoring station to be detected and the ozone concentration corresponding to the current time of the air quality monitoring station to be detected, obtaining the ozone concentration of the current prediction time of the air quality monitoring station to be detected, and simultaneously displaying the prediction data on the 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 comprises the following steps of
The beneficial effects are that:
1. this near ground ozone predictive model based on multisource data fusion uses through the cooperation of first motor, the swivel becket, the bottom plate, mounting panel and third motor and second threaded rod, the swivel becket that utilizes the bottom plate surface to set up cup joints the swivel becket, it rotates at the surface of bottom plate to drive the mounting panel through first motor, make the swivel becket rotate at the inner chamber of swivel becket, and then can automatically regulated model predictive screen's display orientation, drive the second threaded rod through the third motor simultaneously and rotate, and then make first slider remove, prop up the model predictive screen through overhead bracing piece, be convenient for simultaneously adjust the inclination of model predictive screen, the use convenience of this near ground ozone predictive model based on multisource data fusion has been improved.
2. This near-ground ozone prediction model based on multisource data fusion uses through the cooperation of second worm, the second turbine, first threaded rod, the supporting shoe, the lead screw, first worm and first turbine, drive first turbine rotation through the second motor, 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 underlying support pole, 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 near-ground ozone prediction model based on multisource data fusion has been improved.
3. This near ground ozone prediction model based on multisource data fuses uses through the cooperation of containing box, two division of chamber doors, accomodates the model prediction screen through the containing box, utilizes two division of 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 the work to ozone prediction, 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 diagram of the front face of the present invention;
FIG. 3 is an enlarged schematic view of the structure of FIG. 1A according to the present invention;
FIG. 4 is an enlarged schematic view of the structure of FIG. 1B according to the present invention;
FIG. 5 is an enlarged schematic view of the structure of FIG. 1C according to the present invention;
fig. 6 is an enlarged schematic view of the structure of fig. 1D according to the present invention.
In the figure: 1. a storage box; 2. a first threaded rod; 3. a side receiving groove; 4. double-opening box door; 5. a sponge supporting plate; 6. a support block; 7. a first sliding groove; 8. a second threaded rod; 9. a first clamping groove; 10. a bottom plate; 11. a rotating ring; 12. a mounting 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. model prediction screen; 20. a rotating lever; 21. a support rod is arranged on the upper part; 22. pulling the ring; 23. a first slider; 24. a first motor; 25. a receiving groove; 26. a first turbine; 27. a first worm; 28. a fixing frame; 29. a control switch; 30. a third motor; 31. a second turbine; 32. a second worm; 33. the groove is rotated.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all 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 storage box 1, wherein side storage grooves 3 are respectively formed in two sides of an inner cavity of the storage box 1, a first threaded rod 2 is rotatably connected to the inner cavity of the side storage grooves 3, a second turbine 31 is fixedly connected to one end surface of the first threaded rod 2, a bottom plate 10 is movably sleeved in the inner cavity of the storage box 1, supporting blocks 6 are fixedly connected to two sides of the lower surface of the bottom plate 10, one end thread of each supporting block 6 is sleeved on the surface of the 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, a rotating rod 20 is fixedly connected to the inner cavity of the fixing frame 28, a model prediction screen 19 is movably sleeved on the surface of the rotating rod 20, the bottom of the bottom plate 10 is fixedly provided with a first motor 24, one end of an output shaft of the first motor 24 is fixedly connected with the middle part of the lower surface of the mounting plate 12, a rotating groove 33 formed in the surface of the bottom plate 10 is utilized to sleeve the rotating ring 11, the first motor 24 drives the mounting plate 12 to rotate on the surface of the bottom plate 10, the rotating ring 11 rotates in an inner cavity of the rotating groove 33, the display direction of the model prediction screen 19 can be automatically adjusted, two sides of the bottom of the inner cavity of the storage box 1 are respectively provided with a second sliding groove 17, the inside of the storage box 1 is provided with a second clamping groove 13 positioned at the bottom of the inner cavity of the second sliding groove 17, the inside of the storage box 1 is rotationally connected with a first worm 27, two ends of the first worm 27 are fixedly connected with screw rods 18, the screw rods 18 penetrate through the inner cavity of the second clamping groove 13 and extend to the inner cavity of the side storage groove 3, one ends of the two screw rods 18 are respectively fixedly connected with a second worm 32, the second worm 32 is engaged with the second worm wheel 31.
The other side of mounting panel 12 upper surface has seted up first sliding tray 7, 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 rotation of mounting panel 12 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 is to the inner chamber of first joint groove 9 and the screw thread cup joints 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 is connected with the bottom rotation of model predictive screen 19, 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.
The driving directions of the two second worm screws 32 are identical, the second motor 15 drives the first worm wheel 26 to rotate, the first worm screw 27 is further rotated, the lead screw 18 is rotated, the two second slide blocks 14 are further moved towards the middle of the storage box 1 due to the opposite directions of the threads of the two lead screws 18, the bottom plate 10 is jacked up by the lower support rod 16, the lead screw 18 drives the second worm screw 32 to rotate, the second worm wheel 31 is rotated towards the same direction due to the same grain direction on the two second worm screws 32, the first threaded rod 2 is rotated, the support block 6 is lifted, the bottom plate 10 is moved out of the inner cavity of the storage box 1, and the automation degree of the near-ground ozone prediction model based on multi-source data fusion is 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.
The top of the second slide 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.
Wherein, the center of containing box 1 inner chamber bottom has been seted up and has been put groove 25 corresponding with first motor 24 position, the both sides of containing box 1 all articulate and have two division of chamber door 4, one side of containing box 1 is provided with the handle, accomodate model predictive screen 19 through containing box 1, utilize two division of chamber door 4 to seal containing box 1, be convenient for remove and carry model predictive screen 19, can play the guard action simultaneously to model predictive screen 19, reduce model predictive screen 19's damage probability in the work to ozone prediction, model predictive screen 19's life has been prolonged.
Wherein, the upper surface fixedly connected with sponge backup pad 5 of two division chamber doors 4, the lower surface fixedly connected with pulling ring 22 of two division chamber doors 4.
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, mounting panel 12's upper surface fixedly connected with control switch 29, and control switch 29 and third motor 30, first motor 24, second motor 15 electric connection, drive second threaded rod 8 through third motor 30 and rotate, and then make first slider 23 remove, prop up model predictive screen 19 through overhead bracing piece 21, be convenient for adjust the inclination of model predictive screen 19 simultaneously, the use convenience of this near ground ozone predictive model based on multisource data fusion has been improved.
Wherein, the prediction method of the near-ground 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 in different time are obtained.
S2: and classifying and sorting the collected ozone concentration data, inputting a designed ozone prediction program on the model prediction screen 19, and inputting the sorted ozone concentration data on the model prediction screen 19.
S3: and then according to the data corresponding to the current time of the air quality monitoring station to be detected and the prediction model, obtaining a target result corresponding to the current time of the air quality monitoring station to be detected, and the target result corresponding to the current time of the air quality monitoring station to be detected and the ozone concentration corresponding to the current time of the air quality monitoring station to be detected, obtaining the ozone concentration of the current prediction time of the air quality monitoring station to be detected, and simultaneously displaying the prediction data on the model prediction screen 19, and teaching, watching and researching the data.
In summary, when the multi-source data fusion-based near-ground ozone prediction model is used, firstly, the double-open box door 4 is opened, then the second motor 15 is controlled to be started through the control switch 29, the first turbine 26 and the first worm 27 are matched to enable the first worm 27 to rotate, then the screw rod 18 is enabled to rotate, as the thread directions of the two screw rods 18 are opposite, both the two second sliding blocks 14 move towards the middle of the storage box 1, the bottom plate 10 is jacked up through the lower support rod 16, meanwhile, the screw rod 18 drives the second worm 32 to rotate, as the thread directions on the two second worm rods 32 are the same, the second turbine 31 rotates towards the same direction, the first threaded rod 2 rotates, the support block 6 is enabled to rise, the bottom plate 10 moves out of the inner cavity of the storage box 1, then the third motor 30 is enabled to enable the upper support rod 21 to move to support the model prediction screen 19, the ozone prediction model formed by multi-source data fusion is displayed on the model prediction screen 19, and then the first motor 24 is enabled to adjust the display angle of the model prediction screen 19.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (8)
1. Near-ground ozone prediction model based on multisource data fusion, including containing box (1), its characterized in that: the utility model discloses a novel solar energy storage box, which is characterized in that side storage grooves (3) are respectively arranged on two sides of an inner cavity of the storage box (1), the inner cavity of the side storage grooves (3) is rotationally 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 storage box (1) is movably sleeved with a bottom plate (10), supporting blocks (6) are fixedly connected on two sides of the lower surface of the bottom plate (10), one end of each supporting block (6) is in threaded sleeve connection with the surface of the first threaded rod (2), a rotating groove (33) is arranged on the upper surface of the bottom plate (10), the inner cavity of each rotating groove (33) is rotationally 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), an inner cavity of the fixing frame (28) is fixedly connected with a rotating rod (20), a model prediction screen (19) is movably sleeved on the surface of the rotating rod (20), the bottom of the bottom plate (10) is fixedly provided with a first motor (24), one end of an output shaft of the first motor (24) is fixedly connected with the middle part of the lower surface of the mounting plate (12), two sides of the bottom of the inner cavity of the accommodating box (1) are respectively provided with a second sliding groove (17), the inside of the storage box (1) is provided with a second clamping groove (13) positioned at the bottom of the inner cavity of the second sliding groove (17), the inside of the storage box (1) is rotationally connected with a first worm (27), both ends of the first worm (27) are fixedly connected with screw rods (18), the screw rods (18) penetrate through the inner cavity of the second clamping groove (13) and extend to the inner cavity of the side storage groove (3), one ends of the two screw rods (18) are respectively fixedly connected with a second worm (32), and the second worm (32) is meshed with a second turbine (31);
the utility model discloses a model predictive control device for a motor vehicle, including mounting panel (12), first sliding tray (7) have been seted up to the opposite side of mounting panel (12) upper surface, first joint groove (9) have been seted up to the inside of mounting panel (12) and the bottom that is located first sliding tray (7) inner chamber, the inside rotation of mounting panel (12) 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) have been cup jointed in the inner chamber activity of first sliding tray (7), the bottom joint of first slider (23) is to the inner chamber of first joint groove (9) and the surface that the screw thread cup jointed to 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) is connected with the bottom rotation of model predictive control (19), the inside fixed mounting of containing box (1) has second motor (15), one end fixedly connected with first turbine (26) of second motor (15) output shaft, first turbine (26) mesh mutually with first worm (27).
2. The near-surface ozone prediction model based on multi-source data fusion of claim 1, wherein: the threads of the two screw rods (18) are opposite, and the driving directions of the two second worms (32) are consistent.
3. The near-surface ozone prediction model based on multi-source data fusion of claim 1, wherein: 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 sleeved on the surface of the screw rod (18) in a threaded mode.
4. A near-surface ozone predictive model based on multi-source data fusion as claimed in claim 3, 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).
5. The near-surface ozone prediction model based on multi-source data fusion of claim 1, wherein: the center of the bottom of the inner cavity of the storage box (1) is provided with a storage groove (25) corresponding to the position of the first motor (24), two sides of the storage box (1) are hinged with double-opening box doors (4), and one side of the storage box (1) is provided with a handle.
6. The near-surface ozone prediction model based on multi-source data fusion of claim 5, wherein: the upper surface fixedly connected with sponge backup pad (5) of two division of chamber door (4), the lower surface fixedly connected with pulling ring (22) of two division of chamber door (4).
7. The near-surface ozone prediction model based on multi-source data fusion of claim 1, 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 upper surface fixedly connected with control switch (29) of mounting panel (12), and control switch (29) and third motor (30), first motor (24), second motor (15) electric connection.
8. The prediction method of the near-ground ozone prediction model based on multi-source data fusion of claim 1 is characterized by comprising the following steps:
s1: firstly, collecting ozone concentration data in the atmosphere by means of different air quality monitoring stations to obtain ozone concentration data of each air quality monitoring station at different times;
s2: classifying and sorting the collected ozone concentration data, inputting a designed ozone prediction program on a model prediction screen (19), and inputting the sorted ozone concentration data on the model prediction screen (19);
s3: and then according to the data corresponding to the current time of the air quality monitoring station to be detected and the prediction model, obtaining a target result corresponding to the current time of the air quality monitoring station to be detected, and the target result corresponding to the current time of the air quality monitoring station to be detected and the ozone concentration corresponding to the current time of the air quality monitoring station to be detected, obtaining the ozone concentration of the current prediction time of the air quality monitoring station to be detected, and simultaneously displaying the prediction data on a model prediction screen (19), and teaching, watching and researching the data.
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| CN108537383A (en) * | 2018-04-09 | 2018-09-14 | 山东建筑大学 | A kind of room air prediction technique based on Model Fusion |
| CN111598156A (en) * | 2020-05-14 | 2020-08-28 | 北京工业大学 | PM based on multi-source heterogeneous data fusion2.5Prediction model |
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| CN108537383A (en) * | 2018-04-09 | 2018-09-14 | 山东建筑大学 | A kind of room air prediction technique based on Model Fusion |
| CN111598156A (en) * | 2020-05-14 | 2020-08-28 | 北京工业大学 | PM based on multi-source heterogeneous data fusion2.5Prediction model |
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| 耦合遗传算法与RBF神经网络的PM_(2.5)浓度预测模型;梁泽;王玥瑶;岳远紊;韦飞黎;姜虹;李双成;;中国环境科学;20200220(第02期);全文 * |
| 运用贝叶斯方法的PM_(2.5)浓度时空建模与预测;朱亚杰;李琦;侯俊雄;范竣翔;冯逍;;测绘科学;20160220(第02期);全文 * |
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