CN109697807A - A kind of Internet of Things escaping guidance system of intelligence fire behavior detection analysis - Google Patents
A kind of Internet of Things escaping guidance system of intelligence fire behavior detection analysis Download PDFInfo
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- CN109697807A CN109697807A CN201910036851.4A CN201910036851A CN109697807A CN 109697807 A CN109697807 A CN 109697807A CN 201910036851 A CN201910036851 A CN 201910036851A CN 109697807 A CN109697807 A CN 109697807A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
- G08B7/066—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources guiding along a path, e.g. evacuation path lighting strip
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
- G08B21/14—Toxic gas alarms
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Abstract
The embodiment of the present application provides a kind of Internet of Things escaping guidance system of intelligent fire behavior detection analysis, comprising: at least one detecting devices, at least one guiding device and background server.The detecting devices is used for when fire behavior occurs, the fire behavior information around itself position in detection building, and fire behavior information is sent to the background server；The background server is used to receive the fire behavior information that the detecting devices is sent, and carries out comprehensive analysis to the fire behavior information, determines fire behavior distribution and sprawling situation whole in building, and be distributed and spread situation for the fire behavior and be broadcast to the guiding device；The guiding device according to fire behavior distribution and spreads the path in situation selection building for receiving the fire behavior distribution and sprawling situation, and the user that the guiding device is held in guidance escapes.The Internet of Things escaping guidance system of the intelligent fire behavior detection analysis of the embodiment of the present application can obtain effective best-effort path, improve escape efficiency.
Description
Technical field
The application belongs to internet of things field, is related to a kind of emergency escape system more particularly to a kind of intelligent fire behavior is visited
Survey the Internet of Things escaping guidance system of analysis.
Background technique
The modernization development in city works in more and more people in large-scale modern architecture, and especially high level is built
It builds, once there is disaster to occur in these densely populated buildings, if the effective guidance consequence for not fleeing from disaster scene will not
It may imagine.
Find that disaster, the time interval of completion human behavior reaction are very short to disaster-stricken crowd from disaster occurs.It will be shortest
The safety for making the highest path of most short and safety coefficient to the crowd of escape in time guides, and makes it according to safe direction instruction
Evacuate to nearest extra exit rapidly, the safe guiding mechanism of this emergency escape it is significant.
In the prior art, the escape in building only resides on self identification light, when a fire, guide people
The mode escaped it is not smart enough, people are difficult to obtain effective best-effort path, can not also predict the environmental aspect of escape route
And risk factor.For example, being possible to high concentration noxious gas occur in fire, on best-effort path, high temperature, open fire, building
Building structure collapses, lights sink into the various threat to life such as dark and hinders the factor of escape, cannot predict these factors just
Be easy to cause people the escape stage select erroneous path and lack protection prepare, thus cause during escape exist compared with
The technical issues of more security risk, low efficiency of escaping.
Summary of the invention
In view of this, the purpose of the application is to propose a kind of Internet of Things escape guiding system of intelligent fire behavior detection analysis
System, to solve in the prior art when a fire, the mode of guidance people's escape is not smart enough, and people are difficult to obtain effective
Best-effort path can not predict the environmental aspect and risk factor of escape route, caused by there are more peaces during escape
The technical issues of full hidden danger, low efficiency of escaping.
Based on above-mentioned purpose, present applicant proposes a kind of Internet of Things escaping guidance system of intelligent fire behavior detection analysis, packets
It includes:
At least one detecting devices, at least one guiding device and background server, the detecting devices and the guidance
Device is by passing through object between Internet of Things and background server communication connection and/or the detecting devices and the guiding device
Connected network communication connection；
The detecting devices is used for when fire behavior occurs, the fire behavior letter around itself position in detection building
Breath, and fire behavior information is sent to the background server and/or the guiding device；
The background server is used to receive the fire behavior information that the detecting devices is sent, and carries out to the fire behavior information comprehensive
Analysis is closed, determines fire behavior distribution and sprawling situation whole in building, and the fire behavior is distributed and is spread situation and is broadcast to institute
State guiding device；
The guiding device is distributed and spreads shape according to the fire behavior for receiving the fire behavior distribution and sprawling situation
Condition plans one or more of dynamic best-effort path for user, assesses the degree of safety of best-effort path in real time, guidance holds this
The user of guiding device escapes.
In some embodiments, the detecting devices include smog poisonous gas sensor, temperature sensor, thermal camera,
Optical sensor, for photodetector and building intensity detector, the smog poisonous gas sensor is for acquiring itself position
Smog poison gas concentration data, the temperature sensor is used to acquire the air themperature data of itself position, described infrared
Video camera is for determining whether itself position has open fire, and the optical sensor is for acquiring capable of seeing for itself position
Whether degree evidence, the cable for photodetector 1015 for itself position are normal to building service power supply, described
Building intensity detector is used to acquire the building intensity data of itself position.
In some embodiments, the guiding device include display, voice prompting device, flash alarm, indoor positioning device,
Poison gas probe, temp probe and searchlight.
In some embodiments, the indoor positioning device is used for:
Position of the guiding device in building is determined by WIFI fingerprint.
In some embodiments, the guiding device further include:
Memory module, the plane map being stored in the memory module in building are labeled with peace on the plane map
Full outlet, escape stair and escape route.
In some embodiments, the guiding device further include:
Path planning module, the guiding device for being determined according to the indoor positioning device by WIFI fingerprint is in building
The plane map stored in position, the memory module and fire behavior distribution and sprawling situation are the alternative escape of user's planning
Path.
In some embodiments, the path planning module is also used to:
When there are a plurality of alternative best-effort path, score the degree of safety of every best-effort path, and according to degree of safety
Appraisal result is that user recommends best-effort path.
In some embodiments, the path planning module, is also used to:
When the variation that user deviates from former best-effort path or fire behavior during escape causes the degree of safety of the route to be sent out
Changing then is distributed and spreads situation according to the current location information of user, the plane map and the fire behavior for user's weight
New planning best-effort path.
In some embodiments, the guiding device is also used to:
During user's escape, alarm the danger on best-effort path, and carry out Voice Navigation.
In some embodiments, the guiding device is also used to:
Self-position is shared, to establish communication connection between other guiding devices.
In some embodiments, the guiding device is also used to:
When with the communication connection of background server disconnection, directly establishes and communicate to connect with the detecting devices, with
Obtain the fire behavior information.
The Internet of Things escaping guidance system of a kind of intelligent fire behavior detection analysis provided by the embodiments of the present application, comprising: at least
One detecting devices, at least one guiding device and background server, the detecting devices and the guiding device pass through Internet of Things
It communicates to connect with the background server, is communicated to connect between the detecting devices and the guiding device by Internet of Things；It is described
Detecting devices is used for when fire behavior occurs, the fire behavior information around itself position in detection building, and fire behavior is believed
Breath is sent to the background server；The background server is used to receive the fire behavior information that the detecting devices is sent, to institute
State fire behavior information and carry out comprehensive analysis, determine fire behavior distribution and sprawling situation whole in building, and by fire behavior distribution and
Sprawling situation is broadcast to the guiding device；The guiding device is used to receive the fire behavior distribution and sprawling situation, and according to described
Route guiding in fire behavior distribution and sprawling situation selection building holds user's escape of the guiding device.The intelligence of the embodiment of the present application
The Internet of Things escaping guidance system of energy fire behavior detection analysis, can obtain effective best-effort path, avoid existing during escape
Security risk, improve escape efficiency.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the structural representation of the Internet of Things escaping guidance system of the intelligent fire behavior detection analysis of the embodiment of the present application one
Figure；
Fig. 2 is the structural schematic diagram of the detecting devices in the embodiment of the present application one；
Fig. 3 is the structural schematic diagram of the guiding device in the embodiment of the present application one；
Fig. 4 is the example of the guiding device planning and recommendation best-effort path in the embodiment of the present application one.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
The Internet of Things escaping guidance system of the intelligent fire behavior detection analysis of the embodiment of the present application, based on the Internet of Things in building
Net is established detecting devices and guiding device and is communicated to connect between background server respectively, correspondingly, detecting devices, guiding device and
Background server all respectively has the communication module of high reliability, which can be wireless communication module.The detection
Different zones of the device distribution in building are uploaded for acquiring the fire behavior information in corresponding region, and by the fire behavior information
To the background server.The background server carries out the fire behavior information in building after receiving the fire behavior information
Comprehensive analysis determines fire behavior distribution and sprawling situation, and is distributed and spreads situation for fire behavior and be sent to the guiding device.It is described to draw
The different zones that device is distributed in building, such as stairs port or room doorway etc. are led, can be set up in the place of guiding device
Mark and function declaration with fluorescent functional, to prompt people to take rapidly when fire occurs, so as to be located at different zones
User in the case of fire, facilitate acquisition, and then guide user's escape.The guiding device is for receiving the background server
The fire behavior of transmission is distributed and sprawling situation, and is distributed and spreads according to the current position of the plan view of building and user and fire behavior
Situation is that user plans that one or more of dynamic best-effort path, such as best-effort path are walked from user current location
Optional escape stair and channel, reach each extra exit of building, and avoid open firing point or smog poison gas concentration compared with
Big region；And the degree of safety for assessing best-effort path in real time is carried out being ranked up best-effort path recommendation, be moved according to degree of safety
The operations such as state switching, and the early warning in secure path traveling process is provided.
Specifically, as shown in Figure 1, being the Internet of Things escape guiding system of the intelligent fire behavior detection analysis of the embodiment of the present application one
The structural schematic diagram of system.From figure 1 it appears that the Internet of Things escape of the intelligent fire behavior detection analysis in the embodiment of the present application is drawn
Guiding systems, comprising:
A certain number of detecting devices 101, a certain number of guiding devices 102 and background server 103, the detection
Equipment 101 and the guiding device 102 are communicated to connect by the Internet of Things in building with the background server 103, to realize
It, can also be by building between the detecting devices 101 and the guiding device 102 with the data interaction of the background server 103
Internet of Things communication connection in building.
In the present embodiment, the detecting devices 101 can be distributed in the different zones in building, fire behavior is occurring
When, the fire behavior situation in building is detected, for example whether having open fire, smokescope value etc., the guiding device 102 can also be distributed in
Different zones in building, convenient for when fire behavior occurs, the user positioned at different zones obtains the guiding device 102, such as can
To be placed on stairs port etc. or Office Area doorway etc..
Each detecting devices 101 is used for when fire behavior occurs, and detection is built where the interior detecting devices 101 itself
Fire behavior information around position, and fire behavior information is sent to the background server.The fire behavior information of detection includes detection
Whether the temperature of open firing point and ambient enviroment is had around itself position of equipment 101, which can reflect spy indirectly
Intensity of a fire situation around itself position of measurement equipment 101, it is generally the case that then temperature is higher greatly for the intensity of a fire, and the intensity of a fire is small then warm
Spend lower, and when without the intensity of a fire, then the temperature is normal temperature.In addition, it can include itself position of detecting devices 101
Smog poison gas concentration, visibility and the power supply situation of surrounding, and detection Building Structure Strength is to judge whether there is structural collapse
The phenomenon that or risk.The detecting devices 101 is after detecting the fire behavior information around itself position, by the fire
Feelings information is uploaded to the background server 103 by the Internet of Things in building, by the background server 103 to the fire behavior
Information is summarized and is analyzed, and determines fire behavior distribution and sprawling situation in building.
Specifically, as shown in Fig. 2, being the structural schematic diagram of the detecting devices in the embodiment of the present application one.In the present embodiment
Detecting devices 101 include smog poisonous gas sensor 1011, temperature sensor 1012, thermal camera 1013, optical sensor
1014, for photodetector 1015 and building intensity detector 1016.Wherein, the smog poisonous gas sensor 1011 is for acquiring certainly
The smog poison gas concentration data of body position, due to when fire behavior occurs, being usually associated with a large amount of carbon monoxide and not
The flammable composition granule of completely burned, user, which sucks these excessive smog poison gases, to suffocate, therefore during escape, should avoid
The excessively high region of smog poison gas concentration；It is various toxic to detect that smog poisonous gas sensor 1011 integrates a plurality of types of sensing probes
The concentration of gas and particulate matter.The temperature sensor 1012 is used to acquire the air themperature data of itself position, the sky
Gas temperature data can reflect the size of the intensity of a fire and the position apart from fire source indirectly.The thermal camera 1013 is for leading to
Infrared imaging and image analysis are crossed, can determine whether itself position has open fire according to the intensity of infrared image signal, with
Open fire is avoided during escape convenient for user.The optical sensor 1014 is used to acquire the visibility number of itself position
According to, to judge whether escape has basic lighting condition in the process, avoid user fallen into during escape it is dark and lost or
It falls, which can be used the illuminance transducer based on photoelectric conversion.It is described to be used for certainly for photodetector 1015
Whether the power supply of cable existing for body position normal, so illuminated, air draft, entrance guard facilities power supply situation, judgement
Which illumination, air draft, entrance guard facilities power supply line interrupt because of fire, if these facilities will obviously be to being escaped because of power-off failure
Green tape is next difficult, can be realized using devices such as current transformers for photodetector 1015.The building intensity detector 1016
It, can be using being sensed based on ultrasonic echo or mechanics electric signal for acquiring the building intensity data of itself position
Feature detector.
The background server 103 is used to receive the fire behavior information that whole detecting devices 101 is sent, to the fire
Feelings information carries out comprehensive analysis, determines fire behavior distribution and sprawling situation whole in building, and the fire behavior is distributed and is spread
Situation is broadcast to the guiding device 102 by the Internet of Things in building.
The guiding device 102 is distributed and spreads for receiving the fire behavior distribution and sprawling situation, and according to the fire behavior
Situation, the plan view of building and user current location are planned one or more of dynamic best-effort path for user, are assessed in real time
User's escape of the guiding device 102 is held in the degree of safety of best-effort path, guidance.
Specifically, as shown in figure 3, being the structural schematic diagram of the guiding device in the embodiment of the present application one.In the present embodiment
Guiding device 102, including display 1021, voice prompting device 1022, flash alarm 1023, indoor positioning device 1024, poison gas are visited
First 1025, temp probe 1026 and searchlight 1027.
Wherein, the indoor positioning device 1024 is used for: determining position of the guiding device in building by WIFI fingerprint.
Specifically, the indoor positioning device 1024 receives the signal of multiple WIFI signal emission sources transmitting in building, and obtains each
The account and signal strength of WIFI signal emission source generate the account of each WIFI signal emission source and the column of corresponding signal strength
Table, i.e., so-called WIFI fingerprint；Due to the WIFI letter for the WIFI signal emission source transmitting that the indoor positioning device 1024 receives
The distance between number intensity and the indoor positioning device 1024 and WIFI signal emission source are positively correlated, while being sent out according to WIFI signal
The account for penetrating source can determine the position of the WIFI signal emission source pre-registered, therefore according to WIFI fingerprint, described in determination
After the distance between 1024 at least three WIFI signal emission source of indoor positioning device, it can according to indoor positioning device 1024 with
The position of the distance value of these three emission sources and these three WIFI signal emission sources determines that the indoor positioning device 1024 exists
Accurate location in building.A certain number of WIFI signal emission sources can be previously placed at the spatial dimension of building
Interior, the account of each WIFI signal emission source and the information of position can pre-register in the background server 103,
And each guiding device 102 is periodically handed down to by background server 103 and is stored；Background server 103 can be to WIFI signal
The account and position information of emission source periodically check update, such as review in every 24 hours updates once, after then updating
The account of WIFI signal emission source and the information of position be issued to each guiding device 102.
In addition, the guiding device 102 can also include:
Memory module (not shown), the plane map being stored in the memory module in building, the plane earth
Extra exit, escape stair and escape route etc. are labeled on figure.Internet of Things communication module, for being taken by Internet of Things and backstage
Business device 103 communicates, and obtains fire behavior distribution and sprawling status data that background server 103 issues.The Internet of Things Network Communication mould
Block can be also used for being communicated by Internet of Things with the detecting devices 101 and/or other guiding devices 102.And path rule
Module is drawn, position of the guiding device in building, the storage for determining according to the indoor positioning device by WIFI fingerprint
The plane map that stores in module and fire behavior distribution and the sprawling situation that the background server is sent are received to use
Plan dynamic alternative best-effort path in family.
Specifically, the guiding device 102 shows the building stored in the memory module by the display 1021
Inner plane map.Then the path planning module of guiding device is distributed and spreads shape according to the fire behavior that background server is sent
Condition (i.e. above-mentioned smog poison gas concentration data, temperature data, open fire position data, visibility data, facility power status data with
And building intensity data), upper danger zone, such as the smog poison gas concentration mentioned hereinabove arrived are marked on the plane map
The low region of the excessively high region of excessively high region, air themperature data, open firing point region, visibility, power failure facility area
With the region of (and/or risk of collapsing is high-incidence) of collapsing.Then the path planning module of guiding device is remembered according in plane map
The information such as extra exit, escape stair, the escape route of record are planned by permutation and combination from guiding device current location
Various alternative best-effort path, and comprehensive analysis is carried out to danger zone of the length of best-effort path, approach etc., it determines and recommends
The low best-effort path of danger level, such as the best-effort path close apart from Safe Escape Distance, or the escape few by danger zone
Path.
When there are a plurality of alternative best-effort path, the path planning module is also used to: to the safety of every best-effort path
Degree scores, and is that user recommends best-effort path according to degree of safety appraisal result.Specifically, for alternative best-effort path institute
Each danger zone of approach, the hazard types and its degree reflected according to the data in the region provide corresponding danger coefficient
Score value；For example, the region excessively high for smog poison gas concentration, corresponding danger coefficient is 9, for
The excessively high region of air themperature data, corresponding danger coefficient are 8, for open firing point region, corresponding danger
Dangerous coefficient is 9, the region low for visibility, and corresponding danger coefficient is 5, for power failure facility, corresponding danger
Dangerous coefficient is 7, and for the region to collapse, corresponding danger coefficient is 8.It is of course also possible to according to every kind of hazard types
Degree, making the score value of danger coefficient is a range, such as the excessively high corresponding danger coefficient in region of smog poison gas concentration is
7-9 generates danger coefficient score value according to concentration level in the range；For open firing point region, its corresponding danger coefficient is
6-9 generates danger coefficient score value according to open fire intensity size in the range.By passing through in cumulative each best-effort path of statistics
Danger zone total danger coefficient, generate corresponding degree of safety appraisal result, and according to degree of safety scoring (total danger from high to low
Dangerous coefficient is from low to high), best-effort path is pushed to user.Certainly, it is also desirable to consider best-effort path total length to safety
It influences, in general best-effort path total length is smaller, and user can quickly escape from dangerous scene, therefore can be above-mentioned total
Multiplied by an adjustment factor on the basis of danger coefficient, the coefficient and best-effort path total length are in inverse ratio.That is:
Si=α (D1+D2+…Dn)
Wherein SiIndicate total danger coefficient of i-th alternative best-effort path, α expression is total with i-th alternative best-effort path
Length is in the adjustment factor of inverse ratio, D1To DnIndicate the total respective danger in n danger zone of i-th alternative best-effort path approach
Coefficient.The degree of safety scoring and total danger coefficient of this i-th alternative best-effort path are in inverse relation, i.e., total danger coefficient is got over
Low then degree of safety scoring is higher.
After having chosen a best-effort path from the alternative best-effort path according to above-mentioned sort recommendations as user, then guide
Device 102 starts the best-effort path chosen according to user and provides guidance.Also, guiding device 102 according to background server 103 in real time under
The newest fire behavior distribution of hair and sprawling status data, constantly recalculate the safety of this best-effort path of user's selection
Degree scoring；And the degree of safety of the route is caused to be sent out when user deviates from former best-effort path or the variation of fire behavior during escape
When changing, situation is distributed and spreads according to the current location information of user, the plane map and the fire behavior for user's weight
New planning best-effort path.
For example, as shown in figure 4, the self-position that wherein smiling face's icon representation guiding device 102 is positioned, that is, when
The position of preceding user；According to the plane map stored in memory module, fire building altogether there are two extra exit E1, E2, by
User current location leads to the alternative escape route with two transverse directions and two longitudinal directions of E1, E2；Also, according to passing through
The data of the expression that Internet of Things communication module obtains current fire behavior distribution and sprawling situation, determining has five danger areas D1-D5
Domain, wherein D1 is the excessively high region of smog poison gas concentration, according to its hazard types and concentration value, confirms that its danger coefficient is 9；D2 is
Open firing point region, danger coefficient 8；D3 is insufficient visibility region, confirms that danger coefficient is 5 according to its visibility numerical value；
D4 is building collapse high risk area, danger coefficient 8；D5 is open firing point region, danger coefficient 6.Building its
The numerical value that the detecting devices 101 of his position detects is not up to risk range.It is flat in the display of display 1021 of guiding device 102
Face map simultaneously identifies each danger zone, meanwhile, pass through permutation and combination leading to from user current location towards extra exit E1, E2
The common properties such as road, stair give birth to 4 alternative best-effort path；Wherein alternative path 1 (solid line expression) approach danger zone D4, D5；Alternatively
Path 2 (single dotted broken line expression) approach danger zone D4, D5, D3, D1, D2；Alternative path 3 (dotted line expression) approach danger zone
D1,D2；Alternative path 4 (double dot dash line expression) approach danger zone D3；The value of adjustment factor α and the alternative best-effort path of each item
Total length be in inverse ratio, assume that the value range of adjustment factor α is 0.8-1.2 in this example, wherein path 3,1 total length compared with
Short, which is 0.8；Path 2, the total length in path 4 are longer, coefficient value 1.2.Thus, it is in this example, standby
Total danger coefficient of routing diameter 1 is 11.2；Total danger coefficient of alternative path 2 is 43.2, and total danger coefficient of alternative path 3 is
13.6, total danger coefficient of alternative path 4 is 6；Correspondingly, scored according to degree of safety, should, path 1 suboptimum optimal with path 4,
Path 3 again, the most bad sequence in path 4 be that user recommends escape route.Certainly, in user's selection, wherein an escape route is simultaneously
During escape, guiding device constantly recalculates the degree of safety scoring of this best-effort path of user's selection, and inclined in user
It is advised again when variation from former best-effort path or fire behavior causes the degree of safety of the route to change referring to degree of safety scoring
Draw best-effort path.
During user's escape, the guiding device 102 prompts user's best-effort path by the voice prompting device 1022
On danger, for user carry out Voice Navigation, by the flash alarm 1023 to other users issue remind, avoid fugitive
It collides during life since visibility is low, is user's illumination by the searchlight 1027, and the moment passes through the poison
Poison gas smokescope around 1025 monitoring user's present position of gas probe, monitors user by the temp probe 1026
Air themperature around present position, and user is reminded by the voice prompting device 1022.
The Internet of Things escaping guidance system of the intelligent fire behavior detection analysis of the embodiment of the present application, can obtain effective escape
Path avoids existing security risk during escape, improves escape efficiency.
In addition, an alternative embodiment as the application, the guiding device are also used to:
Self-position is shared, i.e., the position of itself is broadcast to by other guiding devices by Internet of Things, to be guided with other
Communication connection is established between device, in order to which user gets in touch during escape, and then is helped each other, and escape probability is improved.
As another alternative embodiment of the application, the guiding device is also used to: when logical with the background server
When letter connection disconnects, directly establishes and communicate to connect with the detecting devices, to obtain the fire behavior information.In user's escape process
In, if the communication failure of the guiding device and the background server, the guiding device can directly with the detecting devices
Communication connection is established, to obtain the fire behavior information, and comprehensive analysis is carried out to the fire behavior information got, in conjunction with the flat of building
The current location of face map and user are that user plans optimal best-effort path.In this way, even if guiding device cannot be by taking with backstage
Business device communicates and obtains the fire behavior of the building overall situation, can also establish communication connection by Internet of Things and detecting devices and at least obtain
The fire behavior information in a part of range is obtained, best-effort path is established according to the fire behavior information that can be obtained.
Alternatively, as another embodiment of the invention, in the meter of total danger coefficient to every alternative best-effort path
In calculation, in addition to the hazard types and its degree in view of current each danger zone, each danger can also be predictably considered
The change situation of danger zone domain degree of danger, because being planned for user's reality along each danger of path arrival from alternative path is made
More or less there is the time difference between the domain of danger zone, fire behavior might have change in the meantime；So the calculating of total danger coefficient
Mode can also be taken:
Si-α·(β1·D1+β2·D2+…βn·Dn)
Wherein SiIndicate total danger coefficient of i-th alternative best-effort path, α expression is total with i-th alternative best-effort path
Length is in the adjustment factor of inverse ratio, D1To DnIndicate the total respective danger in n danger zone of i-th alternative best-effort path approach
Coefficient；β1To βnIndicate the total respective predictive coefficient in n danger zone；The value of each predictive coefficient is all larger than equal to 1, and its
Value and each danger zone indicate index value (such as smog poison gas concentration value, temperature value, the building knot of its degree of danger
Structure intensity value) from last degree of safety to calculate the growth rate in period for calculating to this degree of safety proportional, and with the danger
Distance of the danger zone domain on best-effort path apart from user current location is proportional.As an example it is assumed that danger zone D1, D2 conduct
Smog poison gas danger zone, concentration value calculate the growth rate in the period calculated to this degree of safety from last degree of safety
It is 10%, but D1 is smaller compared with D2 at a distance from user current location, then it can be by β1Value is set as 1.05, β2Value is set
It is 1.1.To so that considering the practical use for reaching each danger zone process along the path of user to the estimation of degree of safety
When during fire behavior change influence.The danger zone that increases newly when for calculating every time and indicate the index value of its degree of danger
Variation is the danger zone of negative growth, then predictive coefficient value is 1.0.
The present embodiment can obtain the technical effect similar with above-described embodiment, be not repeated herein and repeat.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (10)
1. a kind of Internet of Things escaping guidance system of intelligence fire behavior detection analysis characterized by comprising
At least one detecting devices, at least one guiding device and background server, the detecting devices and the guiding device are logical
It crosses between Internet of Things and background server communication connection and/or the detecting devices and the guiding device and passes through Internet of Things
Communication connection；
The detecting devices is used for when fire behavior occurs, the fire behavior information around itself position in detection building, and
Fire behavior information is sent to the background server and/or the guiding device；
The background server is used to receive the fire behavior information that the detecting devices is sent, and carries out comprehensive point to the fire behavior information
Analysis determines fire behavior distribution and sprawling situation whole in building, and is distributed and spreads situation for the fire behavior and be broadcast to described draw
Lead device；
The guiding device is distributed and spreads situation according to the fire behavior for receiving the fire behavior distribution and sprawling situation, is
User plans one or more of dynamic best-effort path, assesses the degree of safety of best-effort path in real time, and the guiding device is held in guidance
User escape.
2. system according to claim 1, which is characterized in that the detecting devices includes smog poisonous gas sensor, temperature
Sensor, thermal camera, optical sensor, for photodetector and building intensity detector；
The smog poisonous gas sensor is used to acquire the smog poison gas concentration data of itself position, and the temperature sensor is used
In the air themperature data for acquiring itself position, the thermal camera is bright for determining whether itself position has
Fire, the optical sensor is used to acquire the visibility data of itself position, described to be used for itself for photodetector 1015
Whether the cable of position is normal to building service power supply, and the building intensity detector is for acquiring itself position
Building intensity data.
3. system according to claim 2, which is characterized in that the guiding device includes display, voice prompting device, flash of light
Alarm, indoor positioning device, poison gas probe, temp probe and searchlight.
4. system according to claim 3, which is characterized in that the indoor positioning device is used for:
Position of the guiding device in building is determined by WIFI fingerprint.
5. system according to claim 4, which is characterized in that the guiding device further include:
Memory module, the plane map being stored in the memory module in building are labeled with safety on the plane map and go out
Mouth, escape stair and escape route.
6. system according to claim 5, which is characterized in that the guiding device further include:
Path planning module, position of the guiding device in building for being determined according to the indoor positioning device by WIFI fingerprint
The plane map set, stored in the memory module and fire behavior distribution and sprawling situation are the alternative escape road of user's planning
Diameter.
7. system according to claim 6, which is characterized in that the path planning module is also used to:
When there are a plurality of alternative best-effort path, score the degree of safety of every best-effort path, and scored according to degree of safety
As a result recommend best-effort path for user.
8. system according to claim 7, which is characterized in that the path planning module is also used to:
When the variation that user deviates from former best-effort path or fire behavior during escape causes the degree of safety of the route to become
Change, being then distributed and spread situation according to the current location information of user, the plane map and the fire behavior is that user advises again
Draw best-effort path.
9. system according to claim 8, which is characterized in that the guiding device is also used to:
During user's escape, alarm the danger on best-effort path, and carry out Voice Navigation.
10. system according to claim 9, which is characterized in that the guiding device is also used to:
Self-position is shared, to establish communication connection between other guiding devices.
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Application publication date: 20190430 |