CN109745604A - Mask and pipeline fall off recognition methods - Google Patents
Mask and pipeline fall off recognition methods Download PDFInfo
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- CN109745604A CN109745604A CN201811649859.XA CN201811649859A CN109745604A CN 109745604 A CN109745604 A CN 109745604A CN 201811649859 A CN201811649859 A CN 201811649859A CN 109745604 A CN109745604 A CN 109745604A
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- mask
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- gas outlet
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Abstract
Recognition methods that the present invention discloses a kind of mask and pipeline falls off, includes the following steps: Step 1: judging whether the motor is in maximum operation power, if so, step 2 is executed, if it is not, continuing to judge；Step 2: executing step 3 after measuring or calculating the air-flow velocity V2 at the mask；Step 3: executing step 4 after calculating S2 according to S1*V1=S2*V2, wherein V1 is the air-flow velocity of the gas outlet, and S1 is the cross-sectional area of the gas outlet；Step 4: determining that mask falls off as S1>S2, determine that pipeline falls off as S1<S2.Compared with the relevant technologies, mask of the invention and pipeline fall off, and recognition methods recognition accuracy is high and good compatibility.
Description
Technical field
It falls off recognition methods the present invention relates to the field of medical instrument technology more particularly to a kind of mask and pipeline.
Background technique
Due to from the host gas outlet of Breathing Suppotion equipment to being connected with a root long the mask directly contacted with user
Up to 1.8 meters of pipeline, user is when using Breathing Suppotion equipment, it is easy to because turn over, tear the movements such as pipeline cause mask from
User's face falls off or pipeline falls off from the host gas outlet of Breathing Suppotion equipment, and then causes user that can not continue to from exhaling
Inhale the gas-pressurized that holding equipment transports out.Therefore Breathing Suppotion equipment usually can all fall off to mask or pipeline fall off into
Row identifies and issues corresponding warning note.
Breathing Suppotion equipment in the related technology is usually that both dropping situations are distinguished by the size of pressure value, and one
As in the case of, pressure when pressure when mask falls off can fall off than pipeline is bigger, but compared with the pressure value of actual set
Or it can be obvious less than normal.Corresponding flow and pressure value size, form warp when falling off to be fallen off by acquisition mask with pipeline
Formula is tested, falls off further according to the numerical value that empirical equation calculates determining pipeline or mask falls off.
But mask and pipeline in the related technology fall off recognition methods rely on empirical equation, there are applicable defects, are replacing
After mask or pipeline, empirical equation is no longer applicable in, it may appear that the case where reporting by mistake or not reporting.Thus mask in the related technology and
Pipeline falls off recognition methods there are recognition accuracies low, poor compatibility deficiency.
Therefore, it is necessary to which providing the recognition methods that falls off of a kind of new mask and pipeline solves above-mentioned technical problem.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned technical problem, a kind of high recognition accuracy is provided and the mask of good compatibility and
Pipeline falls off recognition methods.
Recognition methods that the present invention provides a kind of mask and pipeline falls off, provide Breathing Suppotion device Host, pipeline, mask with
And pressure acquisition pipe, the Breathing Suppotion device Host be equipped with gas outlet and for extraneous gas pressurize and described in pass through out
Port is delivered to the motor in the pipeline, and described pipeline one end connects the gas outlet, and the other end connects the mask, described
Pressure acquisition pipe is for acquiring the pressure value in the mask and feeding back to the Breathing Suppotion device Host, the mask and pipe
The road recognition methods that falls off includes the following steps:
Step 1: judging whether the motor is in maximum operation power, if so, step 2 is executed, if it is not, continuing to sentence
It is disconnected；
Step 2: executing step 3 after measuring or calculating the air-flow velocity V2 at the mask；
Step 3: executing step 4 after calculating S2 according to S1*V1=S2*V2, wherein V1 is the air-flow of the gas outlet
Flow velocity, S1 are the cross-sectional area of the gas outlet；
Step 4: determining that mask falls off as S1>S2, determine that pipeline falls off as S1<S2.
Preferably, in step 2, air-flow velocity V2 at the mask according to It is calculated, wherein P1 is the pressure value of the gas outlet, and P2 is the mask
Interior pressure value, V1 are the air-flow velocity of the gas outlet, and ρ is atmospheric density, and g is acceleration of gravity, and h1 is the gas outlet
Height above sea level, h2 be the mask height above sea level.
Preferably, in step 4, the Breathing Suppotion device Host falls off for mask or pipeline falls off is issued accordingly
Warning note.
Preferably, the warning note includes acoustic information prompt and Word message prompting.
Compared with the relevant technologies, mask of the invention and pipeline fall off recognition methods, are in maximum power in the motor
When start to judge, first obtain the air-flow velocity V2 at the mask, calculated in conjunction with the cross-sectional area S1 of the gas outlet
S2 finally compares the size of S1 and S2, and judgement is that mask falls off or pipeline falls off, and not only recognition accuracy is high, and identifies knot
The accuracy of fruit is not influenced by mask and pipeline replacement, and compatibility is strong.
Detailed description of the invention
Fig. 1 is that mask of the present invention and pipeline fall off recognition methods flow chart.
Specific embodiment
To facilitate the understanding of the present invention, below with reference to embodiment to invention is more fully described.Although giving
Preferred embodiment of the invention.But the invention can be realized in many different forms, however it is not limited to described herein
Embodiment.It is made the disclosure of the present invention more thorough and comprehensive on the contrary, purpose of providing these embodiments is.
Referring to Fig. 1, the present invention provides a kind of mask and pipeline falls off recognition methods, provide Breathing Suppotion device Host,
Pipeline, mask and pressure acquisition pipe, the Breathing Suppotion device Host are equipped with gas outlet and for extraneous gas to pressurize
And the motor in the pipeline is delivered to by the gas outlet, described pipeline one end connects the gas outlet, other end connection
The mask, the pressure acquisition pipe is for acquiring the pressure value in the mask and feeding back to the Breathing Suppotion equipment master
The recognition methods that falls off of machine, the mask and pipeline includes the following steps:
Step 1 100 judges whether the motor is in maximum operation power, if so, step 2 is executed, if it is not, continuing
Judgement.Motor described in present embodiment is turbofan.
Under normal conditions, in order to guarantee that the pressure P for being output to user terminal is consistent with setting value TP, the motor is not at
Maximum operation power rating, operation power are generally the 2/3 of maximum operation power.And after pipeline or mask fall off, due to
Opening becomes larger, and the pressure P of output is unable to maintain that near setting value TP, and in order to ensure output pressure, the motor, which can improve, works as
Preceding operation power, so that output pressure can be restored near setting pressure.As TP-P > 0.5cmH2O, the motor will
The 1% of current operation power is promoted every 30S, until TP-P < 0.5cmH2O just stops hoisting power, keeps current operation function
Rate operation.Therefore, when the operation power of motor is added to maximum, Breathing Suppotion equipment starts to carry out what pipeline or mask fell off
Determine.
Step 2 200 is measured or executes step 3 after calculating the air-flow velocity V2 at the mask.
Air-flow velocity V2 at the mask can be measured by the way that flow sensor is in addition arranged, can also be by calculating
Out, in present embodiment, equation that the air-flow velocity V2 at the mask is extrapolated according to Bernoulli equation It is calculated, wherein P1 is the pressure of the gas outlet
Value, can be measured by the pressure sensor built in the Breathing Suppotion device Host, and P2 is the pressure value in the mask, and V1 is
The air-flow velocity of the gas outlet can be measured by the flow sensor built in the Breathing Suppotion device Host, and ρ is that air is close
Degree, g are acceleration of gravity, and h1 is the height above sea level of the gas outlet, and h2 is the height above sea level of the mask, so as to save
One flow sensor.
Step 3 300, the continuity equation according to perfect gas, there is S1*V1=S2*V2, to calculate S2, wherein S1
For the cross-sectional area of the gas outlet, measurement can be first passed through and obtained.
Step 4 400 determines that mask falls off as S1>S2, determines that pipeline falls off as S1<S2.
In present embodiment, the Breathing Suppotion device Host is for the judgement that step 4 falls off to mask or pipeline falls off
Issue corresponding warning note.
Specifically, the warning note includes acoustic information prompt and Word message prompting.Acoustic information prompt can be by institute
The buzzer for stating the setting of Breathing Suppotion device Host provides, and Word message prompting can be by aobvious on the Breathing Suppotion device Host
Display screen is shown, in order to which user quickly and accurately takes corresponding movement.
Compared with the relevant technologies, mask of the invention and pipeline fall off recognition methods, are in maximum power in the motor
When start to judge, first obtain the air-flow velocity V2 at the mask, calculated in conjunction with the cross-sectional area S1 of the gas outlet
S2 finally compares the size of S1 and S2, and judgement is that mask falls off or pipeline falls off, and not only recognition accuracy is high, and identifies knot
The accuracy of fruit is not influenced by mask and pipeline replacement, and compatibility is strong.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (4)
- The recognition methods 1. a kind of mask and pipeline fall off, which is characterized in that provide Breathing Suppotion device Host, pipeline, mask with And pressure acquisition pipe, the Breathing Suppotion device Host be equipped with gas outlet and for extraneous gas pressurize and described in pass through out Port is delivered to the motor in the pipeline, and described pipeline one end connects the gas outlet, and the other end connects the mask, described Pressure acquisition pipe is for acquiring the pressure value in the mask and feeding back to the Breathing Suppotion device Host, the mask and pipe The road recognition methods that falls off includes the following steps:Step 1: judging whether the motor is in maximum operation power, if so, step 2 is executed, if it is not, continuing to judge；Step 2: executing step 3 after measuring or calculating the air-flow velocity V2 at the mask；Step 3: executing step 4 after calculating S2 according to S1*V1=S2*V2, wherein V1 is the air-flow velocity of the gas outlet, S1 is the cross-sectional area of the gas outlet；Step 4: determining that mask falls off as S1>S2, determine that pipeline falls off as S1<S2.
- The recognition methods 2. mask according to claim 1 and pipeline fall off, which is characterized in that in step 2, the mask The air-flow velocity V2 at place according to It is calculated, wherein P1 For the pressure value of the gas outlet, P2 is the pressure value in the mask, and V1 is the air-flow velocity of the gas outlet, and ρ is air Density, g are acceleration of gravity, and h1 is the height above sea level of the gas outlet, and h2 is the height above sea level of the mask.
- The recognition methods 3. mask according to claim 1 and pipeline fall off, which is characterized in that in step 4, the breathing Holding equipment host falls off for mask or pipeline falls off and issues corresponding warning note.
- The recognition methods 4. mask according to claim 3 and pipeline fall off, which is characterized in that the warning note includes sound Sound information alert and Word message prompting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811649859.XA CN109745604A (en) | 2018-12-31 | 2018-12-31 | Mask and pipeline fall off recognition methods |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811649859.XA CN109745604A (en) | 2018-12-31 | 2018-12-31 | Mask and pipeline fall off recognition methods |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109745604A true CN109745604A (en) | 2019-05-14 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811649859.XA Pending CN109745604A (en) | 2018-12-31 | 2018-12-31 | Mask and pipeline fall off recognition methods |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110151324A (en) * | 2019-06-12 | 2019-08-23 | 江苏人先医疗科技有限公司 | A kind of testing agency, fall off identification device and monitoring device |
| CN112378595A (en) * | 2020-10-29 | 2021-02-19 | 深圳市美的连医疗电子股份有限公司 | Gas sampling pipe connection state detection method and gas detection device |
| CN112691271A (en) * | 2019-10-17 | 2021-04-23 | 翔安生医科技股份有限公司 | Pipeline abnormal risk prediction method, device and system |
| CN110151324B (en) * | 2019-06-12 | 2024-05-28 | 江苏人先医疗科技有限公司 | Detection mechanism, drop recognition device and monitoring facilities |
-
2018
- 2018-12-31 CN CN201811649859.XA patent/CN109745604A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110151324A (en) * | 2019-06-12 | 2019-08-23 | 江苏人先医疗科技有限公司 | A kind of testing agency, fall off identification device and monitoring device |
| CN110151324B (en) * | 2019-06-12 | 2024-05-28 | 江苏人先医疗科技有限公司 | Detection mechanism, drop recognition device and monitoring facilities |
| CN112691271A (en) * | 2019-10-17 | 2021-04-23 | 翔安生医科技股份有限公司 | Pipeline abnormal risk prediction method, device and system |
| CN112378595A (en) * | 2020-10-29 | 2021-02-19 | 深圳市美的连医疗电子股份有限公司 | Gas sampling pipe connection state detection method and gas detection device |
| CN112378595B (en) * | 2020-10-29 | 2023-07-28 | 深圳市美的连医疗电子股份有限公司 | Gas sampling tube connection state detection method and gas detection device |
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Application publication date: 20190514 |
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| WD01 | Invention patent application deemed withdrawn after publication |