CN110917758A - Real-time health monitoring system based on machine learning - Google Patents
Real-time health monitoring system based on machine learning Download PDFInfo
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- CN110917758A CN110917758A CN201911324480.6A CN201911324480A CN110917758A CN 110917758 A CN110917758 A CN 110917758A CN 201911324480 A CN201911324480 A CN 201911324480A CN 110917758 A CN110917758 A CN 110917758A
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- mounting table
- upper mounting
- barrel body
- lower mounting
- distillation flask
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
- B01D46/10—Particle separators, e.g. dust precipitators, using filter plates, sheets or pads having plane surfaces
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
- B01D46/0027—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours with additional separating or treating functions
- B01D46/0036—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours with additional separating or treating functions by adsorption or absorption
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
- B01D46/42—Auxiliary equipment or operation thereof
- B01D46/44—Auxiliary equipment or operation thereof controlling filtration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D49/00—Separating dispersed particles from gases, air or vapours by other methods
- B01D49/02—Separating dispersed particles from gases, air or vapours by other methods by thermal repulsion
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/02—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols by adsorption, e.g. preparative gas chromatography
- B01D53/04—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols by adsorption, e.g. preparative gas chromatography with stationary adsorbents
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2253/00—Adsorbents used in seperation treatment of gases and vapours
- B01D2253/10—Inorganic adsorbents
- B01D2253/102—Carbon
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2257/00—Components to be removed
- B01D2257/91—Bacteria; Microorganisms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2258/00—Sources of waste gases
- B01D2258/02—Other waste gases
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- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Apparatus For Disinfection Or Sterilisation (AREA)
Abstract
The invention discloses a real-time health monitoring system based on machine learning, which comprises an upper mounting table, a lower mounting table, a primary sterilizing device and a height separating device, and is characterized in that the upper mounting table and the lower mounting table are the same in shape and structure, the upper mounting table is placed on the lower mounting table and fixed on a bolt, the primary sterilizing device is mounted on the upper mounting table, the height separating device is mounted on the lower mounting table, and the height separating device comprises a distillation flask; can filter the low concentration gas in most of times through preliminary sterilizing equipment, convenient and fast relatively, can the higher year high concentration poison gas of efficiency handle through high separator.
Description
Technical Field
The invention relates to the field of toxic gas treatment, in particular to a real-time health monitoring system based on machine learning.
Background
Electroplating is a smaller but indispensable basic technological industry in national economy, and is also a heavily polluted industry, waste gas and toxic gas generated by electroplating seriously influence the life and health of people, in recent years, along with the continuous development of economy, the number of electroplating plants is continuously increased, and the electroplating processing range is continuously enlarged, so that the yield of the waste gas generated by electroplating is increased, the environmental pollution at the electroplating location is increased, great threats are caused to the safety and health of operating personnel, and air pollution is caused, the pollution problem caused by harmful gas in an electroplating workshop at present is controlled by adopting a local exhaust method by a general enterprise, single-channel exhaust is mostly adopted, corresponding absorption treatment measures are not carried out on the toxic gas in a channel, and therefore, although the workshop environment can be improved, the toxic gas which is not completely treated still seriously influences the human body, and more likely to have a bad influence on the peripheral environment.
Disclosure of Invention
The present invention aims to overcome the above-mentioned shortcomings and provide a technical solution to solve the above-mentioned problems.
A real-time health monitoring system based on machine learning comprises an upper mounting table, a lower mounting table, a primary sterilizing device and a height separating device, wherein the upper mounting table and the lower mounting table are identical in shape and structure, the upper mounting table is placed on the lower mounting table through bolts, the primary sterilizing device is mounted on the upper mounting table and comprises a barrel body, an air inlet is formed in the top of the barrel body, a filter screen is fixed to the inner portion of the barrel body through bolts, an activated carbon filter layer is arranged below the filter screen, a harmful gas sensor connected into a far-end host is arranged at the inner bottom of the barrel body, an exhaust pipe is arranged at the bottom of the right side of the barrel body, and a first electronic valve is mounted on the exhaust pipe; install high separator on the mount table down, high separator includes the distillation flask, the internally mounted of distillation flask has the heating wire, bottom adhesive fixation has the temperature control switch in the distillation flask, the neck export of distillation flask is equipped with the piston, and the neck side an organic whole of distillation flask is provided with the pipe that looses, the pipe that looses goes up the cover has the condenser pipe, through the pipeline intercommunication between preliminary sterilizing equipment and the high separator, be equipped with the second electronic valve on the pipeline.
As a further scheme of the invention: the temperature control switch is electrically connected in series with the heating electric wire.
As a further scheme of the invention: the upper mounting table and the lower mounting table are the same in shape and comprise table tops and stand columns, the stand columns are fixed on the lower surface of the table tops through bolts, the barrel body is fixed on the table tops of the upper mounting table, and the distillation flask is fixed on the table tops of the lower mounting table.
As a further scheme of the invention: the first electronic valve, the second electronic valve and a harmful gas sensor connected to the remote host are electrically connected.
The invention has the beneficial effects that: can filter the low concentration gas in most of times through preliminary sterilizing equipment, convenient and fast relatively, can the higher year high concentration poison gas of efficiency handle through high separator.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic view of the structure of the high-speed separation apparatus of the present invention.
In the figure: 1-upper mounting table, 2-lower mounting table, 3-preliminary sterilization device, 4-height separation device, 5-barrel body, 6-air inlet, 7-filter screen, 8-active carbon filter layer, 9-harmful gas sensor connected to far-end host, 10-exhaust pipe, 11-first electronic valve, 12-distillation flask, 13-heating wire, 14-temperature control switch, 15-air dispersing pipe, 16-piston, 17-condenser pipe, 18-second electronic valve and 19-pipeline.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, in the embodiment of the invention, a real-time health monitoring system based on machine learning comprises an upper mounting table 1, a lower mounting table 2, a primary sterilization device 3 and a height separation device 4, wherein the upper mounting table 2 and the lower mounting table 2 have the same shape and structure, the upper mounting table 1 is placed on the lower mounting table 2 and fixed by bolts, the primary sterilization device 3 is installed on the upper mounting table 1, the primary sterilization device 3 comprises a barrel body 5, an air inlet 6 is arranged at the top of the barrel body 5, a filter screen 7 is fixed in the barrel body 5 by bolts, an active carbon filter layer 8 is arranged below the filter screen 7, a harmful gas sensor 9 connected to a far-end host is arranged at the inner bottom of the barrel body 5, an exhaust pipe 10 is arranged at the bottom of the right side of the barrel body 5, and a first electronic valve 11 is installed on the exhaust pipe 10; install high separator 4 down on the mount table 2, high separator 4 includes distillation flask 12, the internally mounted of distillation flask 12 has heating wire 13, bottom adhesive fixation has temperature control switch 14 in distillation flask 12, the neck export of distillation flask 12 is equipped with piston 16, and the neck side of distillation flask 12 an organic whole is provided with gas diffusion pipe 15, the cover has condenser pipe 17 on the gas diffusion pipe 15, communicate through pipeline 19 between preliminary sterilizing equipment 3 and the high separator 4, be equipped with second electronic valve 18 on the pipeline 19.
The temperature control switch 14 is electrically connected in series with the heating wire 13.
The upper mounting table 1 and the lower mounting table 2 are identical in shape, the upper mounting table 1 and the lower mounting table 2 comprise table surfaces and stand columns, the stand columns are fixed on the lower surfaces of the table surfaces through bolts, the barrel body 5 is fixed on the table surfaces of the upper mounting table 1, and the distillation bottles 12 are fixed on the table surfaces of the lower mounting table 2.
The first electronic valve 11, the second electronic valve 18 and the harmful gas sensor 9 connected to the remote host are electrically connected.
The working principle of the invention is as follows: waste gas is equipped with in air inlet 6 gets into preliminary sterilizing equipment 3 from the top of staving 5, through the prefilter on filter screen 7 and active carbon layer, if gaseous up to standard, the harmful gas sensor 9 of access distal end host computer will be in the off-state, first electronic valve 11 opens this moment, second electronic valve 18 closes, gaseous from blast pipe 10 is got rid of, when gaseous poison gas filters not to the greatest extent, the harmful gas sensor 9 of access distal end host computer will be in the off-state, first electronic valve 11 closes this moment, second electronic valve 18 opens, the poison gas gets into high separator 4 and heats and disinfects.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (4)
1. A real-time health monitoring system based on machine learning comprises an upper mounting table, a lower mounting table, a primary sterilizing device and a height separating device, and is characterized in that the upper mounting table and the lower mounting table are identical in shape and structure, the upper mounting table is placed on the lower mounting table through bolts, the primary sterilizing device is mounted on the upper mounting table and comprises a barrel body, an air inlet is formed in the top of the barrel body, a filter screen is fixed inside the barrel body through bolts, an active carbon filter layer is arranged below the filter screen, a harmful gas sensor connected to a far-end host is arranged at the inner bottom of the barrel body, an exhaust pipe is arranged at the bottom of the right side of the barrel body, and a first electronic valve is mounted on the exhaust pipe; install high separator on the mount table down, high separator includes the distillation flask, the internally mounted of distillation flask has the heating wire, bottom adhesive fixation has the temperature control switch in the distillation flask, the neck export of distillation flask is equipped with the piston, and the neck side an organic whole of distillation flask is provided with the pipe that looses, the pipe that looses goes up the cover has the condenser pipe, through the pipeline intercommunication between preliminary sterilizing equipment and the high separator, be equipped with the second electronic valve on the pipeline.
2. The machine learning based real-time health monitoring system of claim 1, wherein the temperature control switch is electrically connected in series with a heating wire.
3. The real-time health monitoring system based on machine learning of claim 1, wherein the upper mounting table and the lower mounting table are identical in shape, the upper mounting table and the lower mounting table comprise a table top and a column, the column is fixed on the lower surface of the table top through bolts, the barrel body is fixed on the table top of the upper mounting table, and the distillation flask is fixed on the table top of the lower mounting table.
4. The machine learning based real-time health monitoring system of claim 1, wherein the first electronic valve, the second electronic valve and the hazardous gas sensor connected to the remote host are electrically connected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911324480.6A CN110917758A (en) | 2019-12-20 | 2019-12-20 | Real-time health monitoring system based on machine learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911324480.6A CN110917758A (en) | 2019-12-20 | 2019-12-20 | Real-time health monitoring system based on machine learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110917758A true CN110917758A (en) | 2020-03-27 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911324480.6A Pending CN110917758A (en) | 2019-12-20 | 2019-12-20 | Real-time health monitoring system based on machine learning |
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| Country | Link |
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| CN (1) | CN110917758A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004071960A2 (en) * | 2003-02-05 | 2004-08-26 | Watervisions International Inc. | Composite materials for fluid treatment |
| CN201414950Y (en) * | 2009-06-15 | 2010-03-03 | 张振花 | Sterile air machine |
| CN105251332A (en) * | 2015-11-19 | 2016-01-20 | 苏州韵蓝环保科技有限公司 | Organic waste gas purification device |
| CN108519345A (en) * | 2018-04-02 | 2018-09-11 | 沈耀梅 | A kind of printing machine working region air quality intelligent monitor system based on machine learning |
| CN109405152A (en) * | 2018-09-18 | 2019-03-01 | 中广核研究院有限公司 | A kind of nuclear power station exhaust system |
-
2019
- 2019-12-20 CN CN201911324480.6A patent/CN110917758A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004071960A2 (en) * | 2003-02-05 | 2004-08-26 | Watervisions International Inc. | Composite materials for fluid treatment |
| CN201414950Y (en) * | 2009-06-15 | 2010-03-03 | 张振花 | Sterile air machine |
| CN105251332A (en) * | 2015-11-19 | 2016-01-20 | 苏州韵蓝环保科技有限公司 | Organic waste gas purification device |
| CN108519345A (en) * | 2018-04-02 | 2018-09-11 | 沈耀梅 | A kind of printing machine working region air quality intelligent monitor system based on machine learning |
| CN109405152A (en) * | 2018-09-18 | 2019-03-01 | 中广核研究院有限公司 | A kind of nuclear power station exhaust system |
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Application publication date: 20200327 |