CN104941101A - Method for improving fire-fighting precision of intelligent fire monitor - Google Patents
Method for improving fire-fighting precision of intelligent fire monitor Download PDFInfo
- Publication number
- CN104941101A CN104941101A CN201410115512.2A CN201410115512A CN104941101A CN 104941101 A CN104941101 A CN 104941101A CN 201410115512 A CN201410115512 A CN 201410115512A CN 104941101 A CN104941101 A CN 104941101A
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- Prior art keywords
- fire
- monitor
- big gun
- fire monitor
- intelligent
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
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- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Fire-Extinguishing By Fire Departments, And Fire-Extinguishing Equipment And Control Thereof (AREA)
Abstract
The invention discloses a method for improving the fire-fighting precision of an intelligent fire monitor, belonging to the technical field of fire disaster monitoring and automatic fire fighting. Least square curve fitting is introduced into the fire fighting of the fire monitor, and through the fitting of data such as the position of the practical falling point of the fire monitor, the related elevation angle, the mounting angle and the pressure of a water outlet pipe, a function relationship through which the elevation angle of the intelligent fire monitor can be compensated according to the practical position of an ignition point can be obtained. The elevation angle of the fire monitor can be compensated through the function relationship, so that the fire fighting precision of the intelligent fire monitor can be effectively improved, and conditions are provided for automatic precise fire fighting of a large space.
Description
Technical field
The invention belongs to fire monitoring and automatic fire extinguishing technology field, particularly a kind of method improving large-space intelligent fire monitor fire extinguishing precision.
Background technology
Fire is still one of maximum disaster of society destructive power.In recent years, along with the progress of society and the development of science and technology, China has obtained considerable progress in reply fire, but the sustainable growth of the continuous quickening of simultaneous urbanization process and population, the generation quantity of China's fire, the loss caused still presents the trend of rising.Fire put out one of difficult problem remaining the world today.At present, the use mainly comparatively zonule, indoor of intelligent fire big gun, and the research of the intelligent fire big gun of pin large space fire is also few.In fact, many large space environment are as chemical plant, and some emphasis such as hangar and cargo berth fire prevention unit has sizable demand to the intelligent fire big gun that high accuracy is put out a fire.But one of difficulty of the intelligent fire big gun of large space fire extinguishing is: in remote range situation, the actual water-drop point position of intelligent fire big gun can be difficult to determine because being subject to the impact of complicated outside environmental elements, causes the inaccuracy of its position.The accuracy of detection of raising fire generation position at present for the processing method that such difficult problem is the most frequently used, but under large space environment, the distance of ignition point position and fire monitor, often more than tens meters, only relies on and improves the accuracy that the precision detecting ignition point position is very difficult guarantee fire monitor.
Least square method (Generalized Least Squares is called for short GLS), be a kind of mathematical optimization techniques also known as least squares method (Least Square Method), it finds the optimal function of one group of data to mate by the quadratic sum of minimum error.Utilize least square method can try to achieve unknown data easily, and between the data that these are tried to achieve and real data, the quadratic sum of error is minimum.Least square method is generally used for curve and is widely used in the engineering of reality.
Summary of the invention
Fire monitor is caused to put out a fire the lower problem of precision for there is error between intelligent fire big gun actual water-drop point position and ignition point position, the present invention proposes a kind of method improving intelligent fire big gun fire extinguishing precision, improve the fire extinguishing precision of intelligent fire big gun, simultaneously for the intelligent fire fighting of large space provides condition.
The present invention solves above-mentioned technical problem by technical scheme below;
Improve a method for intelligent fire big gun fire extinguishing precision, it is characterized in that: according to intelligent fire big gun in different setting height(from bottom), the data such as the actual water-drop point position of fire monitor and luffing angle under different outlet pipe pressure.Least square curve fit is utilized to go out functional relation between setting height(from bottom), outlet pipe pressure and fire monitor luffing angle and actual water-drop point position, by using this functional relation intelligent fire big gun can compensate current luffing angle according to ignition point position, it is made to reach the object of precise fire extinguishing.
The present invention has following technique effect:
1, least square method is incorporated in the fire extinguishing precision improving intelligent fire big gun, compensate according to the luffing angle of functional relation to current fire monitor of ignition point position by least square curve fit, improve the fire extinguishing precision of intelligent fire big gun, add the accuracy of fire monitor;
2, existing intelligent fire big gun can increase any control system hardware or frame for movement and directly use the method, thus improves the fire extinguishing precision of fire monitor.
Accompanying drawing explanation
Fig. 1 is the flow chart specifically implementing least square curve fit;
Fig. 2 is achievement schematic diagram of the present invention.In figure
for fire monitor setting height(from bottom),
for actual water-drop point position,
for ignition point
With fire monitor horizontal range,
for fire monitor detection angles, Δ
for offset angle,
for outlet pipe pressure;
Fig. 3 is fire monitor setting height(from bottom)
6.8m, outlet pipe pressure
for fire monitor luffing angle during 0.6mp
overboard with reality
Point position
relation curve;
Fig. 4 is fire monitor setting height(from bottom)
6.8m, outlet pipe pressure
for fire monitor luffing angle during 0.6mp
with actual water-drop point position
quadratic fit curve compare with actual relationship curve;
Fig. 5 is fire monitor setting height(from bottom)
6.8m, fire monitor luffing angle
with actual water-drop point position
the secondary of fit equation
Term coefficient and outlet pipe pressure
for once fitting curve when 0.6mp, 0.5mp, 0.4mp compares with actual curve.
Detailed description of the invention
Below in conjunction with accompanying drawing and instantiation, the invention will be further described, can better understand the present invention and can be implemented, but example is not as a limitation of the invention to make those skilled in the art.
As shown in Figure 1, a kind of method improving intelligent fire big gun fire extinguishing precision of the present invention comprises the steps:
1, intelligent fire big gun is obtained in different setting height(from bottom)
, water pipe pressure
under, fire monitor luffing angle
with water-drop point position
data;
2, by the data of the above-mentioned steps 1 of acquisition, fire monitor is drawn in same setting height(from bottom)
with outlet pipe pressure
lower fire monitor luffing angle
with actual water-drop point position
between curve map as shown in Figure 3;
3, referring-to relation curve map, determines fire monitor luffing angle
with actual water-drop point position
functional form, utilizes least square fitting to go out fire monitor in identical setting height(from bottom)
, outlet pipe pressure
lower fire monitor luffing angle
with actual water-drop point position
between functional relation.In this example, the curve of Fig. 3 is for quadratic function form is to shown in its fitting function relational expression following (1), the curve of fitting function then as shown in Figure 4:
=
（1）
Wherein
for in fire monitor setting height(from bottom) being
, outlet pipe pressure is
time, actual water-drop point position
relevant luffing angle
the quadratic term coefficient of fitting function,
for the Monomial coefficient of fitting function,
it is then the constant term of this fitting function;
4, repeat above-mentioned steps 3, then simulate fire monitor respectively in identical setting height(from bottom)
, different outlet pipe pressure
,
......
lower fire monitor luffing angle
with actual water-drop point
between functional relation as follows:
=
（2）
Wherein
for in fire monitor setting height(from bottom) being
, outlet pipe pressure is
time, actual water-drop point position
relevant luffing angle
the quadratic term coefficient of fitting function,
for the Monomial coefficient of this function,
be then the constant term of this function, the value of n should be greater than 3;
5, by functional relation (2)
quadratic term coefficient
with pressure
draw graph of relation and utilize least square method to enter
Row matching.This example carries out once fitting with reference to the graph of relation of Fig. 5 to it;
6, step 5 is repeated, by Monomial coefficient
and constant term coefficient
respectively with pressure
draw graph of relation and again utilize least square fitting according to the form of graph of relation, simulating
quadratic term coefficient, Monomial coefficient and constant term coefficient and water pipe pressure
functional relation.Right in this example
,
also carry out once fitting and then obtain functional relation shown in (3) as follows:
=
（3）
Wherein
,
,
for pressure
right
,
,
carry out the Monomial coefficient of once fitting,
,
,
it is then the constant term coefficient of this once fitting;
7, repeat above-mentioned steps 2,3,4,5,6 to simulate respectively again
with in fire monitor setting height(from bottom) be
's
Functional relation, obtains matrix (4):
=
（4）
8, by matrix (4)
,
,
,
,
,
each coefficient respectively with height
draw relation curve,
Least square fitting is utilized to go out function that is every and fire monitor setting height(from bottom) H according to the form of relation curve.Will according to the graph of relation drawn in this example
,
,
,
,
,
respectively with
carry out quadratic fit, then obtain shown in matrix following (5):
=
（5）
Wherein
,
,
;
,
,
;
,
,
;
,
,
;
,
,
;
,
,
be respectively
,
,
,
,
,
to height
carry out the quadratic term coefficient of quadratic fit, Monomial coefficient and constant term coefficient;
9, matrix (5) is the actual water-drop point of intelligent fire big gun
with setting height(from bottom)
, water pipe pressure
, and detection angles
between functional relation.By organizing real data, can obtain in matrix (5) more
,
every actual numerical value;
10, after the installation of intelligent fire big gun, its setting height(from bottom)
, outlet pipe pressure
for constant, matrix (5) is then actual water-drop point
related detection angle
function of a single variable;
11, when there being fire to occur as shown in Figure 2, ignition point fire extinguishing found by intelligent fire big gun, and the angle of the fire-fighting gun mouth corresponding to ignition point position detected by sensor
the functional relation of value between fire monitor setting height(from bottom) and sensor detection angles
calculate the horizontal range of ignition point position and fire monitor
;
12, intelligent fire big gun control system is by ignition point position
bring in matrix (5), reverse goes out
.Again by formula
draw the difference DELTA of the luffing angle that intelligent fire big gun wants precise fire extinguishing to reach and current luffing angle
;
13, intelligent fire big gun control system will calculate gained angle delta
compensate to current fire monitor luffing mechanism, make it reach precise fire extinguishing.
Claims (4)
1. one kind is improved the method for intelligent fire big gun fire extinguishing precision, it is characterized in that: according to intelligent fire big gun in different setting height(from bottom), the test data of actual water-drop point position and fire monitor luffing angle under outlet pipe pressure, least square curve fit is utilized to go out fire monitor setting height(from bottom), outlet pipe pressure, functional relation between luffing angle and actual water-drop point position, intelligent fire big gun can according to current ignition point position, by using this functional relation to compensate fire monitor luffing angle, it is made to reach precise fire extinguishing.
2. a kind of method improving intelligent fire big gun fire extinguishing precision according to claim 1, is characterized in that: the functional relation that curve goes out is actual water-drop point position
with fire monitor setting height(from bottom)
, outlet pipe pressure
and fire monitor luffing angle
relevant three element complex, after fire monitor installation, setting height(from bottom), outlet pipe pressure is constant, and gained functional relation is the function of a single variable relevant with fire monitor luffing angle.
3. a kind of method improving intelligent fire big gun fire extinguishing precision according to claim 1, it is characterized in that: when fire occurs, intelligent fire big gun is found ignition point and is put out a fire, and the angle of fire-fighting gun mouth corresponding to the ignition point position detected according to sensor
value, through fire monitor setting height(from bottom)
with sensor detection angles
between functional relation
calculate the horizontal range of ignition point position and fire monitor
.
4. a kind of method improving intelligent fire big gun fire extinguishing precision according to claim 1, is characterized in that: fire monitor control system is by the horizontal range of ignition point position and fire monitor
bring into
obtain in functional relation
, then by
show that intelligent fire big gun will accurately be put out a fire the difference DELTA of the luffing angle that should reach and current luffing angle
, and by difference DELTA
compensate to fire monitor luffing mechanism, make it reach precise fire extinguishing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410115512.2A CN104941101A (en) | 2014-03-26 | 2014-03-26 | Method for improving fire-fighting precision of intelligent fire monitor |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410115512.2A CN104941101A (en) | 2014-03-26 | 2014-03-26 | Method for improving fire-fighting precision of intelligent fire monitor |
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| Publication Number | Publication Date |
|---|---|
| CN104941101A true CN104941101A (en) | 2015-09-30 |
Family
ID=54156503
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| CN201410115512.2A Pending CN104941101A (en) | 2014-03-26 | 2014-03-26 | Method for improving fire-fighting precision of intelligent fire monitor |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112402883A (en) * | 2020-11-23 | 2021-02-26 | 邓东 | Method and system for determining spray path of fire extinguishing equipment and electronic equipment |
| CN115887997A (en) * | 2022-11-24 | 2023-04-04 | 沪消消防科技有限公司 | Intelligent fire monitor control system and control method |
| CN116688413A (en) * | 2023-06-20 | 2023-09-05 | 四川中科友成科技有限公司 | Intelligent photoelectric fireproof system |
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|---|---|---|---|---|
| CN101574566A (en) * | 2009-06-08 | 2009-11-11 | 南京航空航天大学 | Monocular vision technique based fire monitor control method for adjusting relative positions of fire point and water-drop point |
| CN101574567A (en) * | 2009-06-08 | 2009-11-11 | 南京航空航天大学 | Computer vision technique based method and system for detecting and extinguishing fire disaster intelligently |
| JP2011095799A (en) * | 2009-10-27 | 2011-05-12 | Nohmi Bosai Ltd | Fire source probing system |
-
2014
- 2014-03-26 CN CN201410115512.2A patent/CN104941101A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101574566A (en) * | 2009-06-08 | 2009-11-11 | 南京航空航天大学 | Monocular vision technique based fire monitor control method for adjusting relative positions of fire point and water-drop point |
| CN101574567A (en) * | 2009-06-08 | 2009-11-11 | 南京航空航天大学 | Computer vision technique based method and system for detecting and extinguishing fire disaster intelligently |
| JP2011095799A (en) * | 2009-10-27 | 2011-05-12 | Nohmi Bosai Ltd | Fire source probing system |
Non-Patent Citations (1)
| Title |
|---|
| 闵永林: ""大空间智能消防水炮灭火系统研究"", 《中国博士学位论文全文数据库（电子期刊）工程科技Ⅱ》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112402883A (en) * | 2020-11-23 | 2021-02-26 | 邓东 | Method and system for determining spray path of fire extinguishing equipment and electronic equipment |
| CN112402883B (en) * | 2020-11-23 | 2022-09-09 | 邓东 | Method and system for determining spray path of fire extinguishing equipment and electronic equipment |
| CN115887997A (en) * | 2022-11-24 | 2023-04-04 | 沪消消防科技有限公司 | Intelligent fire monitor control system and control method |
| CN116688413A (en) * | 2023-06-20 | 2023-09-05 | 四川中科友成科技有限公司 | Intelligent photoelectric fireproof system |
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Application publication date: 20150930 |